1
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Lux A, Conti C, Botteon A, Mosca S, Matousek P. Theoretical and Practical Considerations of Spatially Offset Raman Spectroscopy (SORS) and Micro-SORS. APPLIED SPECTROSCOPY 2024:37028241270263. [PMID: 39093999 DOI: 10.1177/00037028241270263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Spatially offset Raman spectroscopy (SORS) is typically used to non-invasively investigate stratified samples that possess features on a millimeter scale, whereas micro-SORS usually deals with micrometer-thick layered samples. However, there are many instances where these boundaries are intertwined, sometimes indicating the possibility of using both techniques as well as circumstances that present mutual exclusion to their applicability. The aim of this study is to establish an application protocol that provides better insight into their suitability for deployment in various scenarios. The differences and similarities between the two approaches are investigated highlighting their strengths and limitations considering both theoretical and practical aspects. Diverse available parameters entail prospects and restrictions of both techniques and give rise to specific instrumental effects, namely, the overlap between the collection and excitation areas, the percentage of collected area for a given spatial offset, and the accuracy in the definition of the spatial offset (spread effect). These aspects are studied and exemplified on mockup samples relevant to the field of cultural heritage. The samples are characterized by high compositional complexity comprising features ranging from micrometer to millimeter scales. The conclusions reached are also relevant to other scientific areas such as biomedical, forensic, or energy harvest.
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Affiliation(s)
- Alberto Lux
- Institute of Heritage Science, National Research Council (CNR-ISPC), Milan, Italy
- Sapienza University of Rome, Faculty of Literature, Department of Classics, Rome, Italy
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Campus, Oxford, UK
| | - Claudia Conti
- Institute of Heritage Science, National Research Council (CNR-ISPC), Milan, Italy
| | - Alessandra Botteon
- Institute of Heritage Science, National Research Council (CNR-ISPC), Milan, Italy
| | - Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Campus, Oxford, UK
| | - Pavel Matousek
- Institute of Heritage Science, National Research Council (CNR-ISPC), Milan, Italy
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Campus, Oxford, UK
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2
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Mosca S, Mehta M, Skinner WH, Gardner B, Palombo F, Stone N, Matousek P. Active Surface-Enhanced Raman Spectroscopy (SERS): A Novel Concept for Enhancing Signal Contrast in Complex Matrices Using External Perturbation. APPLIED SPECTROSCOPY 2024:37028241267898. [PMID: 39094008 DOI: 10.1177/00037028241267898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Noninvasive detection of surface-enhanced Raman spectroscopy (SERS) signals from deep within tissue represents a common challenge in many biological and clinical applications including disease diagnosis and therapy monitoring. Such signals are typically weak and not readily discernible from often much larger Raman and fluorescence background signals (e.g., from surrounding tissue). Consequently, suboptimal sensitivity in the detection of SERS signals is often achieved in these situations. Similar issues can arise in SERS measurements in other diffusely scattering samples and complex matrices. Here, we propose a novel concept, active SERS, for the efficient retrieval of SERS signals from deep within complex matrices such as biological tissues that mitigates these issues. It relies on applying an external perturbation to the sample to alter the SERS signal from nanoparticles (NPs) deep inside the matrix. A measurement with and without, or before and after, such perturbation then can provide powerful contrasting data enabling an effective elimination of the matrix signals to reveal more clearly the desired SERS signal without the interfering background and associated artifacts. The concept is demonstrated using ultrasound (US) as an external source of perturbation and SERS NPs inserted deep within a heterogeneous tissue phantom mimicking a cluster of NPs accumulated within a small target lesion. The overall SERS signal intensity induced by the applied US perturbation decreased by ∼21% and the SERS signal contrast was considerably improved by eliminating subtraction artifacts present in a conventional measurement performed at a neighboring spatial location in a heterogeneous tissue sample. Although the technique was demonstrated with SERS gold NPs with a standard Raman label, it is envisaged that active SERS NPs (both the nanoscale metal geometry and Raman label) could be specifically designed to deliver an augmented response to the external stimulus to further enhance the achievable SERS signal contrast and yield even greater improvement in detection sensitivity. The method was demonstrated using transmission Raman spectroscopy; however, it is also applicable to other Raman implementations including spatially offset Raman spectroscopy and conventional Raman spectroscopy performed both at depth and at surfaces of complex matrices.
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Affiliation(s)
- Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, Oxfordshire, UK
| | - Megha Mehta
- Department of Physics and Astronomy, University of Exeter, Exeter, UK
| | - William H Skinner
- Department of Physics and Astronomy, University of Exeter, Exeter, UK
| | - Benjamin Gardner
- Department of Physics and Astronomy, University of Exeter, Exeter, UK
| | - Francesca Palombo
- Department of Physics and Astronomy, University of Exeter, Exeter, UK
| | - Nicholas Stone
- Department of Physics and Astronomy, University of Exeter, Exeter, UK
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, Oxfordshire, UK
- Department of Physics and Astronomy, University of Exeter, Exeter, UK
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3
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Boudries R, Williams H, Paquereau-Gaboreau S, Bashir S, Hojjat Jodaylami M, Chisanga M, Trudeau LÉ, Masson JF. Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience. ACS NANO 2024. [PMID: 39088751 DOI: 10.1021/acsnano.4c05200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2024]
Abstract
Monitoring neurochemicals and imaging the molecular content of brain tissues in vitro, ex vivo, and in vivo is essential for enhancing our understanding of neurochemistry and the causes of brain disorders. This review explores the potential applications of surface-enhanced Raman scattering (SERS) nanosensors in neurosciences, where their adoption could lead to significant progress in the field. These applications encompass detecting neurotransmitters or brain disorders biomarkers in biofluids with SERS nanosensors, and imaging normal and pathological brain tissues with SERS labeling. Specific studies highlighting in vitro, ex vivo, and in vivo analysis of brain disorders using fit-for-purpose SERS nanosensors will be detailed, with an emphasis on the ability of SERS to detect clinically pertinent levels of neurochemicals. Recent advancements in designing SERS-active nanomaterials, improving experimentation in biofluids, and increasing the usage of machine learning for interpreting SERS spectra will also be discussed. Furthermore, we will address the tagging of tissues presenting pathologies with nanoparticles for SERS imaging, a burgeoning domain of neuroscience that has been demonstrated to be effective in guiding tumor removal during brain surgery. The review also explores future research applications for SERS nanosensors in neuroscience, including monitoring neurochemistry in vivo with greater penetration using surface-enhanced spatially offset Raman scattering (SESORS), near-infrared lasers, and 2-photon techniques. The article concludes by discussing the potential of SERS for investigating the effectiveness of therapies for brain disorders and for integrating conventional neurochemistry techniques with SERS sensing.
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Affiliation(s)
- Ryma Boudries
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Hannah Williams
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Soraya Paquereau-Gaboreau
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
- Department of Pharmacology and Physiology, Department of Neurosciences, Faculty of Medicine, Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Saba Bashir
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Maryam Hojjat Jodaylami
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Malama Chisanga
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
| | - Louis-Éric Trudeau
- Department of Pharmacology and Physiology, Department of Neurosciences, Faculty of Medicine, Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
| | - Jean-Francois Masson
- Department of Chemistry, Institut Courtois, Quebec Center for Advanced Materials (QCAM), and Regroupement Québécois sur les Matériaux de Pointe (RQMP), Université de Montréal, C.P. 6128 Succ. Centre-Ville, Montréal, Quebec H3C 3J7, Canada
- Neural Signalling and Circuitry Research Group (SNC), Center for Interdisciplinary Research on the Brain and Learning (CIRCA), Université de Montréal, C.P. 6128 Succ. Centre-ville, Montréal, Quebec H3C 3J7, Canada
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Shehata M, Dodd S, Mosca S, Matousek P, Parmar B, Kevei Z, Anastasiadi M. Application of Spatial Offset Raman Spectroscopy (SORS) and Machine Learning for Sugar Syrup Adulteration Detection in UK Honey. Foods 2024; 13:2425. [PMID: 39123616 PMCID: PMC11312281 DOI: 10.3390/foods13152425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 07/22/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
Honey authentication is a complex process which traditionally requires costly and time-consuming analytical techniques not readily available to the producers. This study aimed to develop non-invasive sensor methods coupled with a multivariate data analysis to detect the type and percentage of exogenous sugar adulteration in UK honeys. Through-container spatial offset Raman spectroscopy (SORS) was employed on 17 different types of natural honeys produced in the UK over a season. These samples were then spiked with rice and sugar beet syrups at the levels of 10%, 20%, 30%, and 50% w/w. The data acquired were used to construct prediction models for 14 types of honey with similar Raman fingerprints using different algorithms, namely PLS-DA, XGBoost, and Random Forest, with the aim to detect the level of adulteration per type of sugar syrup. The best-performing algorithm for classification was Random Forest, with only 1% of the pure honeys misclassified as adulterated and <3.5% of adulterated honey samples misclassified as pure. Random Forest was further employed to create a classification model which successfully classified samples according to the type of adulterant (rice or sugar beet) and the adulteration level. In addition, SORS spectra were collected from 27 samples of heather honey (24 Calluna vulgaris and 3 Erica cinerea) produced in the UK and corresponding subsamples spiked with high fructose sugar cane syrup, and an exploratory data analysis with PCA and a classification with Random Forest were performed, both showing clear separation between the pure and adulterated samples at medium (40%) and high (60%) adulteration levels and a 90% success at low adulteration levels (20%). The results of this study demonstrate the potential of SORS in combination with machine learning to be applied for the authentication of honey samples and the detection of exogenous sugars in the form of sugar syrups. A major advantage of the SORS technique is that it is a rapid, non-invasive method deployable in the field with potential application at all stages of the supply chain.
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Affiliation(s)
- Mennatullah Shehata
- Centre for Soil, Agrifood and Biosciences, Cranfield University, College Road, Cranfield, Bedford MK43 0AL, UK
| | - Sophie Dodd
- Centre for Soil, Agrifood and Biosciences, Cranfield University, College Road, Cranfield, Bedford MK43 0AL, UK
| | - Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI Harwell Campus, Didcot OX11 0QX, UK
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI Harwell Campus, Didcot OX11 0QX, UK
| | - Bhavna Parmar
- Food Standards Agency, Clive House, 70 Petty France, Westminster, London SW1H 9EX, UK
| | - Zoltan Kevei
- Centre for Soil, Agrifood and Biosciences, Cranfield University, College Road, Cranfield, Bedford MK43 0AL, UK
| | - Maria Anastasiadi
- Centre for Soil, Agrifood and Biosciences, Cranfield University, College Road, Cranfield, Bedford MK43 0AL, UK
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5
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Raj P, Wu L, Almeida C, Conway L, Tanwar S, Middendorf J, Barman I. Shining Light on Osteoarthritis: Spatially Offset Raman Spectroscopy as a Window into Cartilage Health. ACS Sens 2024; 9:3794-3804. [PMID: 38976969 DOI: 10.1021/acssensors.4c01242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Articular cartilage is a complex tissue, and early detection of osteoarthritis (OA) is crucial for effective treatment. However, current imaging modalities lack molecular specificity and primarily detect late-stage changes. In this study, we propose the use of spatially offset Raman spectroscopy (SORS) for noninvasive, depth-dependent, and molecular-specific diagnostics of articular cartilage. We demonstrate the potential of SORS to penetrate deep layers of cartilage, providing a comprehensive understanding of disease progression. Our SORS measurements were characterized and validated through mechanical and histological techniques, revealing strong correlations between spectroscopic measurements and both Young's modulus and depth of cartilage damage. By longitudinally monitoring enzymatically degraded condyles, we further developed a depth-dependent damage-tracking method. Our analysis revealed distinct components related to sample depth and glycosaminoglycan (GAG) changes, offering a comprehensive picture of cartilage health. Collectively, these findings highlight the potential of SORS as a valuable tool for enhancing OA management and improving patient outcomes.
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Affiliation(s)
- Piyush Raj
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Lintong Wu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Craig Almeida
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Lauren Conway
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Swati Tanwar
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Jill Middendorf
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, School of Medicine, Baltimore, Maryland 21205, United States
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland 21287, United States
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6
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Stanek E, Majka Z, Czamara K, Mazurkiewicz J, Kaczor A. Spatially Offset Raman Spectroscopy toward In Vivo Assessment of the Adipose Tissue in Cardiometabolic Pathologies. Anal Chem 2024; 96:10373-10379. [PMID: 38865715 PMCID: PMC11209658 DOI: 10.1021/acs.analchem.4c01477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/24/2024] [Accepted: 05/31/2024] [Indexed: 06/14/2024]
Abstract
Spatially offset Raman spectroscopy (SORS) enhanced the capabilities of Raman spectroscopy for the depth-resolved analysis of biological and diffusely scattering samples. This technique offers selective probing of subsurface layers, providing molecular insights without invasive procedures. While SORS has found application in biomedical research, up to now, studies have focused mainly on the detection of mineralization of bones and tissues. Herein, for the first time, SORS is used to assess the soft, organic tissue beneath the skin's surface. In this study, we demonstrate the diagnostic utility of a hand-held SORS device for evaluating the chemical composition of the adipose tissue. We compared perigonadal white adipose tissue (gWAT) in a murine model of atherosclerosis, heart failure, and high-fat diet (HFD) induced obesity. Our results reveal distinct chemical differences in gWAT between HFD-fed and control mice, showcasing the potential of SORS for intravital adipose tissue phenotype characterization. Furthermore, our findings underscore the effectiveness of SORS as a valuable tool for noninvasive assessment of the adipose tissue composition, holding potential diagnostic significance for metabolic disorders.
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Affiliation(s)
- Ewa Stanek
- Doctoral
School of Exact and Natural Sciences, Jagiellonian
University, 11 Lojasiewicza Str., 30-348 Krakow, Poland
- Jagiellonian
Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland
| | - Zuzanna Majka
- Jagiellonian
Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland
- Faculty
of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland
| | - Krzysztof Czamara
- Jagiellonian
Centre for Experimental Therapeutics (JCET), Jagiellonian University, 14 Bobrzynskiego Str., 30-348 Krakow, Poland
| | - Joanna Mazurkiewicz
- Doctoral
School of Exact and Natural Sciences, Jagiellonian
University, 11 Lojasiewicza Str., 30-348 Krakow, Poland
- Faculty
of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland
| | - Agnieszka Kaczor
- Faculty
of Chemistry, Jagiellonian University, 2 Gronostajowa Str., 30-387 Krakow, Poland
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Ma H, Pan SQ, Wang WL, Yue X, Xi XH, Yan S, Wu DY, Wang X, Liu G, Ren B. Surface-Enhanced Raman Spectroscopy: Current Understanding, Challenges, and Opportunities. ACS NANO 2024; 18:14000-14019. [PMID: 38764194 DOI: 10.1021/acsnano.4c02670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
While surface-enhanced Raman spectroscopy (SERS) has experienced substantial advancements since its discovery in the 1970s, it is an opportunity to celebrate achievements, consider ongoing endeavors, and anticipate the future trajectory of SERS. In this perspective, we encapsulate the latest breakthroughs in comprehending the electromagnetic enhancement mechanisms of SERS, and revisit CT mechanisms of semiconductors. We then summarize the strategies to improve sensitivity, selectivity, and reliability. After addressing experimental advancements, we comprehensively survey the progress on spectrum-structure correlation of SERS showcasing their important role in promoting SERS development. Finally, we anticipate forthcoming directions and opportunities, especially in deepening our insights into chemical or biological processes and establishing a clear spectrum-structure correlation.
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Affiliation(s)
- Hao Ma
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Si-Qi Pan
- State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, Xiamen University, Xiamen 361102, China
| | - Wei-Li Wang
- State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, Xiamen University, Xiamen 361102, China
| | - Xiaxia Yue
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xiao-Han Xi
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Sen Yan
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - De-Yin Wu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Xiang Wang
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Guokun Liu
- State Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, Xiamen University, Xiamen 361102, China
| | - Bin Ren
- State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (i-ChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
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8
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Aeindartehran L, Sadri Z, Rahimi F, Alinejad T. Fluorescence in depth: integration of spectroscopy and imaging with Raman, IR, and CD for advanced research. Methods Appl Fluoresc 2024; 12:032002. [PMID: 38697201 DOI: 10.1088/2050-6120/ad46e6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 05/02/2024] [Indexed: 05/04/2024]
Abstract
Fluorescence spectroscopy serves as a vital technique for studying the interaction between light and fluorescent molecules. It encompasses a range of methods, each presenting unique advantages and applications. This technique finds utility in various chemical studies. This review discusses Fluorescence spectroscopy, its branches such as Time-Resolved Fluorescence Spectroscopy (TRFS) and Fluorescence Lifetime Imaging Microscopy (FLIM), and their integration with other spectroscopic methods, including Raman, Infrared (IR), and Circular Dichroism (CD) spectroscopies. By delving into these methods, we aim to provide a comprehensive understanding of the capabilities and significance of fluorescence spectroscopy in scientific research, highlighting its diverse applications and the enhanced understanding it brings when combined with other spectroscopic methods. This review looks at each technique's unique features and applications. It discusses the prospects of their combined use in advancing scientific understanding and applications across various domains.
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Affiliation(s)
- Lida Aeindartehran
- Department of Chemistry, Southern Methodist University, Dallas, Texas 75275, United States of America
| | - Zahra Sadri
- Department of Biological Science, Southern Methodist University, Dallas, Texas 75205, United States of America
| | - Fateme Rahimi
- Department of Chemical Engineering, Babol Noshirvani University of Technology, Babol, Iran
| | - Tahereh Alinejad
- The Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, South Baixiang, Ouhai District, Wenzhou 325015, Zhejiang, People's Republic of China
- Institute of Cell Growth Factor, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, and Brain Health), Wenzhou Medical University, Wenzhou 325000, People's Republic of China
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9
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Troncoso-Afonso L, Vinnacombe-Willson GA, García-Astrain C, Liz-Márzan LM. SERS in 3D cell models: a powerful tool in cancer research. Chem Soc Rev 2024; 53:5118-5148. [PMID: 38607302 PMCID: PMC11104264 DOI: 10.1039/d3cs01049j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Indexed: 04/13/2024]
Abstract
Unraveling the cellular and molecular mechanisms underlying tumoral processes is fundamental for the diagnosis and treatment of cancer. In this regard, three-dimensional (3D) cancer cell models more realistically mimic tumors compared to conventional 2D cell cultures and are more attractive for performing such studies. Nonetheless, the analysis of such architectures is challenging because most available techniques are destructive, resulting in the loss of biochemical information. On the contrary, surface-enhanced Raman spectroscopy (SERS) is a non-invasive analytical tool that can record the structural fingerprint of molecules present in complex biological environments. The implementation of SERS in 3D cancer models can be leveraged to track therapeutics, the production of cancer-related metabolites, different signaling and communication pathways, and to image the different cellular components and structural features. In this review, we highlight recent progress in the use of SERS for the evaluation of cancer diagnosis and therapy in 3D tumoral models. We outline strategies for the delivery and design of SERS tags and shed light on the possibilities this technique offers for studying different cellular processes, through either biosensing or bioimaging modalities. Finally, we address current challenges and future directions, such as overcoming the limitations of SERS and the need for the development of user-friendly and robust data analysis methods. Continued development of SERS 3D bioimaging and biosensing systems, techniques, and analytical strategies, can provide significant contributions for early disease detection, novel cancer therapies, and the realization of patient-tailored medicine.
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Affiliation(s)
- Lara Troncoso-Afonso
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Department of Applied Chemistry, University of the Basque Country, 20018 Donostia-San Sebastián, Gipuzkoa, Spain
| | - Gail A Vinnacombe-Willson
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
| | - Clara García-Astrain
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales, y Nanomedicina (CIBER-BBN), Paseo de Miramón 182, 20014 Donostia-San Sebastián, Spain
| | - Luis M Liz-Márzan
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales, y Nanomedicina (CIBER-BBN), Paseo de Miramón 182, 20014 Donostia-San Sebastián, Spain
- Ikerbasque Basque Foundation for Science, 48013 Bilbao, Spain
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10
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Be Rziņš KR, Czyrski GS, Aljabbari A, Heinz A, Boyd BJ. In Situ Imaging of Subcutaneous Drug Delivery Systems Using Microspatially Offset Low-Frequency Raman Spectroscopy. Anal Chem 2024; 96:6408-6416. [PMID: 38602505 DOI: 10.1021/acs.analchem.4c00488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
The noninvasive in situ monitoring of the status of drug retention and implant integrity of subcutaneous implants would allow optimization of therapy and avoid periods of subtherapeutic delivery kinetics. A proof-of principle study was conducted to determine the use of microspatially offset low-frequency Raman spectroscopy (micro-SOLFRS) for nonintrusive in situ analysis of subcutaneous drug delivery systems. Caffeine was used as the model drug, and it was embedded in a circular-shape Soluplus matrix via vacuum compression molding. For the exploratory analysis, prototype implants were positioned underneath skin tissue samples, and various caffeine concentrations (1-50% w/w) and micro-SOLFRS displacement settings (Δz = 0-8 mm) were tested from the pseudo three-dimensional (3D)-imaging perspective. This format allowed the optimization of real-time micro-SOLFRS analysis of implants through skin tissue that was embedded in an agarose hydrogel. Notably, this analytical approach allowed the temporal and spatial erosion of the implant and solid-state transformations of caffeine to be distinguished. The spectrometric results correlated with complementary high-performance liquid chromatography (HPLC) determination of changes in drug concentration, illustrating drug dissipation/diffusion characteristics. The discovered capability of micro-SOLFRS for in situ measurements of drugs and implants makes it attractive for biomedical diagnostics that, ultimately, could result in development of a new point-of-care technology.
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Affiliation(s)
- Ka Rlis Be Rziņš
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Grzegorz S Czyrski
- LEO Foundation Center for Cutaneous Drug Delivery, Department of Pharmacy, University of Copenhagen, Copenhagen 2100, Denmark
| | - Anas Aljabbari
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Andrea Heinz
- LEO Foundation Center for Cutaneous Drug Delivery, Department of Pharmacy, University of Copenhagen, Copenhagen 2100, Denmark
| | - Ben J Boyd
- Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
- Drug Delivery, Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Parkville, VIC 3052, Australia
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11
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Lux A, Realini M, Botteon A, Maiwald M, Müller A, Sumpf B, Miliani C, Matousek P, Strobbia P, Conti C. Advanced portable micro-SORS prototype coupled with SERDS for heritage science. Analyst 2024; 149:2317-2327. [PMID: 38466379 DOI: 10.1039/d3an02215c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
We investigate the subsurface composition of turbid materials at the micro scale by means of a portable non-invasive technique, micro-spatially offset Raman spectroscopy (micro-SORS), combined with shifted excitation Raman difference spectroscopy (SERDS). This combination enables the microscale layer analysis and allows to deal effectively with highly fluorescing samples as well as ambient light, all in a form of an in-house portable prototype device optimised for applications in heritage science. The instrument comprises ability to simultaneously collect multiple spectra by means of an optical fibre bundle, thus reducing the dead time and simplifying the ease of deployment of the technique. The performance of the synergy between micro-SORS and 785 nm SERDS dual-wavelength diode laser is demonstrated on a stratified mock-up painting samples including highly fluorescing painted layers. This instrumental approach could be ground-breaking in heritage science, due to the largely unmet need of analysing the molecular composition of subsurface of artworks non-invasively and in situ, and in the presence of fluorescent background and ambient light. Moreover, many other fields are expected to benefit from this technological advancement such as solar energy, forensic and food analytical areas.
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Affiliation(s)
- A Lux
- Institute of Heritage Science, National Research Council (CNR-ISPC), Via Cozzi 53, 20125, Milan, Italy.
- Sapienza University of Rome, Faculty of Literature, Department of Classics, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - M Realini
- Institute of Heritage Science, National Research Council (CNR-ISPC), Via Cozzi 53, 20125, Milan, Italy.
| | - A Botteon
- Institute of Heritage Science, National Research Council (CNR-ISPC), Via Cozzi 53, 20125, Milan, Italy.
| | - M Maiwald
- Ferdinand-Braun-Institut Leibniz-Institut für Höchstfrequenztechnik, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany
| | - A Müller
- Ferdinand-Braun-Institut Leibniz-Institut für Höchstfrequenztechnik, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany
| | - B Sumpf
- Ferdinand-Braun-Institut Leibniz-Institut für Höchstfrequenztechnik, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany
| | - C Miliani
- Institute of Heritage Science, National Research Council (CNR-ISPC), Via Cozzi 53, 20125, Milan, Italy.
| | - P Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Oxford, OX11 0QX, UK
| | - P Strobbia
- Department of Chemistry, University of Cincinnati, 201 Crosley Tower, Cincinnati, USA
| | - C Conti
- Institute of Heritage Science, National Research Council (CNR-ISPC), Via Cozzi 53, 20125, Milan, Italy.
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12
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Ilchenko O, Pilhun Y, Kutsyk A, Slobodianiuk D, Goksel Y, Dumont E, Vaut L, Mazzoni C, Morelli L, Boisen S, Stergiou K, Aulin Y, Rindzevicius T, Andersen TE, Lassen M, Mundhada H, Jendresen CB, Philipsen PA, Hædersdal M, Boisen A. Optics miniaturization strategy for demanding Raman spectroscopy applications. Nat Commun 2024; 15:3049. [PMID: 38589380 PMCID: PMC11001912 DOI: 10.1038/s41467-024-47044-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/12/2024] [Indexed: 04/10/2024] Open
Abstract
Raman spectroscopy provides non-destructive, label-free quantitative studies of chemical compositions at the microscale as used on NASA's Perseverance rover on Mars. Such capabilities come at the cost of high requirements for instrumentation. Here we present a centimeter-scale miniaturization of a Raman spectrometer using cheap non-stabilized laser diodes, densely packed optics, and non-cooled small sensors. The performance is comparable with expensive bulky research-grade Raman systems. It has excellent sensitivity, low power consumption, perfect wavenumber, intensity calibration, and 7 cm-1 resolution within the 400-4000 cm-1 range using a built-in reference. High performance and versatility are demonstrated in use cases including quantification of methanol in beverages, in-vivo Raman measurements of human skin, fermentation monitoring, chemical Raman mapping at sub-micrometer resolution, quantitative SERS mapping of the anti-cancer drug methotrexate and in-vitro bacteria identification. We foresee that the miniaturization will allow realization of super-compact Raman spectrometers for integration in smartphones and medical devices, democratizing Raman technology.
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Affiliation(s)
- Oleksii Ilchenko
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark.
- Lightnovo ApS, Birkerød, Denmark.
| | - Yurii Pilhun
- Lightnovo ApS, Birkerød, Denmark
- Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
| | - Andrii Kutsyk
- Lightnovo ApS, Birkerød, Denmark
- Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
- Technical University of Denmark, Department of Energy Conversion and Storage, Kgs. Lyngby, Denmark
| | - Denys Slobodianiuk
- Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
- Institute of Magnetism, Kyiv, Ukraine
| | - Yaman Goksel
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
| | - Elodie Dumont
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
| | - Lukas Vaut
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
| | - Chiara Mazzoni
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
| | - Lidia Morelli
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
| | | | | | | | - Tomas Rindzevicius
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
| | - Thomas Emil Andersen
- Department of Clinical Microbiology, Odense University Hospital and Research Unit of Clinical Microbiology, University of Southern Denmark, Odense, Denmark
| | | | | | | | | | - Merete Hædersdal
- Department of Dermatology, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark
| | - Anja Boisen
- Technical University of Denmark, Department of Health Technology, Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics, Kgs. Lyngby, Denmark
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13
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Nicolson F, Andreiuk B, Lee E, O’Donnell B, Whitley A, Riepl N, Burkhart DL, Cameron A, Protti A, Rudder S, Yang J, Mabbott S, Haigis KM. In vivo imaging using surface enhanced spatially offset raman spectroscopy (SESORS): balancing sampling frequency to improve overall image acquisition. NPJ IMAGING 2024; 2:7. [PMID: 38939049 PMCID: PMC11210722 DOI: 10.1038/s44303-024-00011-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 02/08/2024] [Indexed: 06/29/2024]
Abstract
In the field of optical imaging, the ability to image tumors at depth with high selectivity and specificity remains a challenge. Surface enhanced resonance Raman scattering (SERRS) nanoparticles (NPs) can be employed as image contrast agents to specifically target cells in vivo; however, this technique typically requires time-intensive point-by-point acquisition of Raman spectra. Here, we combine the use of "spatially offset Raman spectroscopy" (SORS) with that of SERRS in a technique known as "surface enhanced spatially offset resonance Raman spectroscopy" (SESORRS) to image deep-seated tumors in vivo. Additionally, by accounting for the laser spot size, we report an experimental approach for detecting both the bulk tumor, subsequent delineation of tumor margins at high speed, and the identification of a deeper secondary region of interest with fewer measurements than are typically applied. To enhance light collection efficiency, four modifications were made to a previously described custom-built SORS system. Specifically, the following parameters were increased: (i) the numerical aperture (NA) of the lens, from 0.2 to 0.34; (ii) the working distance of the probe, from 9 mm to 40 mm; (iii) the NA of the fiber, from 0.2 to 0.34; and (iv) the fiber diameter, from 100 μm to 400 μm. To calculate the sampling frequency, which refers to the number of data point spectra obtained for each image, we considered the laser spot size of the elliptical beam (6 × 4 mm). Using SERRS contrast agents, we performed in vivo SESORRS imaging on a GL261-Luc mouse model of glioblastoma at four distinct sampling frequencies: par-sampling frequency (12 data points collected), and over-frequency sampling by factors of 2 (35 data points collected), 5 (176 data points collected), and 10 (651 data points collected). In comparison to the previously reported SORS system, the modified SORS instrument showed a 300% improvement in signal-to-noise ratios (SNR). The results demonstrate the ability to acquire distinct Raman spectra from deep-seated glioblastomas in mice through the skull using a low power density (6.5 mW/mm2) and 30-times shorter integration times than a previous report (0.5 s versus 15 s). The ability to map the whole head of the mouse and determine a specific region of interest using as few as 12 spectra (6 s total acquisition time) is achieved. Subsequent use of a higher sampling frequency demonstrates it is possible to delineate the tumor margins in the region of interest with greater certainty. In addition, SESORRS images indicate the emergence of a secondary tumor region deeper within the brain in agreement with MRI and H&E staining. In comparison to traditional Raman imaging approaches, this approach enables improvements in the detection of deep-seated tumors in vivo through depths of several millimeters due to improvements in SNR, spectral resolution, and depth acquisition. This approach offers an opportunity to navigate larger areas of tissues in shorter time frames than previously reported, identify regions of interest, and then image the same area with greater resolution using a higher sampling frequency. Moreover, using a SESORRS approach, we demonstrate that it is possible to detect secondary, deeper-seated lesions through the intact skull.
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Affiliation(s)
- Fay Nicolson
- Department of Cancer Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
- Department of Imaging, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA02215, USA
| | - Bohdan Andreiuk
- Department of Imaging, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA02215, USA
- Cancer Immunology and Virology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Eunah Lee
- HORIBA Instruments Incorporated, Piscataway, NJ 08854, USA
| | - Bridget O’Donnell
- HORIBA Instruments Incorporated, Piscataway, NJ 08854, USA
- Honeywell International Inc., Fort Washington, PA 19034, USA
| | - Andrew Whitley
- HORIBA Instruments Incorporated, Piscataway, NJ 08854, USA
| | - Nicole Riepl
- College of Science, Northeastern University, 360 Huntington Avenue, Boston, MA 02115, USA
| | - Deborah L. Burkhart
- Department of Cancer Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Amy Cameron
- Department of Imaging, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA02215, USA
| | - Andrea Protti
- Department of Imaging, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA02215, USA
| | - Scott Rudder
- Innovative Photonic Solutions, Monmouth Junction, Plainsboro Township, NJ 08852, USA
| | - Jiang Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Samuel Mabbott
- Department of Biomedical Engineering, Texas A&M University, Emerging Technologies Building, College Station, TX 77840, USA
- Center for Remote Health Technologies & Systems, Texas A & M Engineering Experiment Station, 600 Discovery Drive, College Station, TX 77840, USA
| | - Kevin M. Haigis
- Department of Cancer Biology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
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14
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Bossi A, Bianchi L, Saccomandi P, Pifferi A. Optical signatures of thermal damage on ex-vivo brain, lung and heart tissues using time-domain diffuse optical spectroscopy. BIOMEDICAL OPTICS EXPRESS 2024; 15:2481-2497. [PMID: 38633088 PMCID: PMC11019675 DOI: 10.1364/boe.517376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/21/2024] [Accepted: 02/21/2024] [Indexed: 04/19/2024]
Abstract
Thermal therapies treat tumors by means of heat, greatly reducing pain, post-operation complications, and cost as compared to traditional methods. Yet, effective tools to avoid under- or over-treatment are mostly needed, to guide surgeons in laparoscopic interventions. In this work, we investigated the temperature-dependent optical signatures of ex-vivo calf brain, lung, and heart tissues based on the reduced scattering and absorption coefficients in the near-infrared spectral range (657 to 1107 nm). These spectra were measured by time domain diffuse optics, applying a step-like spatially homogeneous thermal treatment at 43 °C, 60 °C, and 80 °C. We found three main increases in scattering spectra, possibly due to the denaturation of collagen, myosin, and the proteins' secondary structure. After 75 °C, we found the rise of two new peaks at 770 and 830 nm in the absorption spectra due to the formation of a new chromophore, possibly related to hemoglobin or myoglobin. This research marks a significant step forward in controlling thermal therapies with diffuse optical techniques by identifying several key markers of thermal damage. This could enhance the ability to monitor and adjust treatment in real-time, promising improved outcomes in tumor therapy.
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Affiliation(s)
- Alessandro Bossi
- Department of Mechanical Engineering, Politecnico di Milano, via Giuseppe La Masa 1, 20156 Milan, Italy
- Department of Physics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
| | - Leonardo Bianchi
- Department of Mechanical Engineering, Politecnico di Milano, via Giuseppe La Masa 1, 20156 Milan, Italy
| | - Paola Saccomandi
- Department of Mechanical Engineering, Politecnico di Milano, via Giuseppe La Masa 1, 20156 Milan, Italy
| | - Antonio Pifferi
- Department of Physics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
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15
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Botteon A, Vermeulen M, Cristina L, Bruni S, Matousek P, Miliani C, Realini M, Angelova L, Conti C. Advanced Microspatially Offset Raman Spectroscopy for Noninvasive Imaging of Concealed Texts and Figures Using Raman Signal, Fluorescence Emission, and Overall Spectral Intensity. Anal Chem 2024; 96:4535-4543. [PMID: 38456422 DOI: 10.1021/acs.analchem.3c05249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
This study explores the possibility of using microspatially offset Raman spectroscopy (micro-SORS) imaging to reconstruct noninvasively letters and figures hidden by opaque layers. Micro-SORS experiments were conducted on mockup samples that mimic real situations encountered in the cultural heritage field, such as sealed letters with inaccessible text and original documents. Subsurface images were obtained using both the characteristic Raman bands of the hidden compounds and their different optical properties from the remaining matrix. In the latter case, contrast obtained through observing a difference in the overall spectral intensity and fluorescence profile rather than any specific Raman bands were used to track the images within the hidden layer. This approach opens new prospects for the use of micro-SORS in heritage science, with applications in the field that include the study of objects covered by opaque overlayers not only through their Raman signatures but also through differences in their optical properties (e.g., fluorescence emission, absorption).
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Affiliation(s)
- Alessandra Botteon
- Institute of Heritage Science, National Research Council (CNR ISPC), Via R. Cozzi 53, 20125 Milan, Italy
| | - Marc Vermeulen
- Collection Care Department, The National Archives (TNA), Bessant Drive, Kew TW9 4DU, U.K
| | - Laura Cristina
- Department of Chemistry, University of Milan, Via C. Golgi 19, 20133 Milan, Italy
| | - Silvia Bruni
- Department of Chemistry, University of Milan, Via C. Golgi 19, 20133 Milan, Italy
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UK Research and Innovation (UKRI), Harwell Campus, Harwell OX11 0QX, U.K
| | - Costanza Miliani
- Institute of Heritage Science, National Research Council (CNR ISPC), Via R. Cozzi 53, 20125 Milan, Italy
| | - Marco Realini
- Institute of Heritage Science, National Research Council (CNR ISPC), Via R. Cozzi 53, 20125 Milan, Italy
| | - Lora Angelova
- Collection Care Department, The National Archives (TNA), Bessant Drive, Kew TW9 4DU, U.K
| | - Claudia Conti
- Institute of Heritage Science, National Research Council (CNR ISPC), Via R. Cozzi 53, 20125 Milan, Italy
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16
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Kotturi D, Paterson S, McShane M. Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue. BIOSENSORS 2024; 14:81. [PMID: 38392000 PMCID: PMC10886963 DOI: 10.3390/bios14020081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/24/2024]
Abstract
One aim of personalized medicine is to use continuous or on-demand monitoring of metabolites to adjust prescription dosages in real time. Surface-enhanced spatially offset Raman spectroscopy (SESORS) is an optical technique capable of detecting surface-enhanced Raman spectroscopy (SERS)-active targets under a barrier, which may enable frequent metabolite monitoring. Here we investigate how the intensity of the signal from SERS-active material varies spatially through tissue, both experimentally and in a computational model. Implant-sized, SERS-active hydrogel was placed under different thicknesses of contiguous tissue. Emission spectra were collected at the air-tissue boundary over a range of offsets from the excitation site. New features were added to the Monte Carlo light-tissue interaction model to modify the optical properties after inelastic scattering and to calculate the distribution of photons as they exit the model. The Raman signals were detectable through all barrier thicknesses, with strongest emission for the case of 0 mm offset between the excitation and detector. A steep decline in the signal intensities occurred for offsets greater than 2 mm. These results did not match published SORS work (where targets were much larger than an implant). However, the model and experimental results agree in showing the greatest intensities at 0 mm offset and a steep gradient in the intensities with increasing offset. Also, the model showed an increase in the number of photons when the new, longer wavelengths were used following the Stokes shift for scattering and the graphical display of the exiting photons was helpful in the determination and confirmation of the optimal offset.
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Affiliation(s)
- Dayle Kotturi
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA (S.P.)
| | - Sureyya Paterson
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA (S.P.)
| | - Mike McShane
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA (S.P.)
- Department of Materials Science and Engineering, Texas A&M University, College Station, TX 77843, USA
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17
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Surowiec RK, Does MD, Nyman JS. In Vivo Assessment of Bone Quality Without X-rays. Curr Osteoporos Rep 2024; 22:56-68. [PMID: 38227178 PMCID: PMC11050740 DOI: 10.1007/s11914-023-00856-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/22/2023] [Indexed: 01/17/2024]
Abstract
PURPOSE OF REVIEW This review summarizes recent advances in the assessment of bone quality using non-X-ray techniques. RECENT FINDINGS Quantitative ultrasound (QUS) provides multiple measurements of bone characteristics based on the propagation of sound through bone, the attenuation of that sound, and different processing techniques. QUS parameters and model predictions based on backscattered signals can discriminate non-fracture from fracture cases with accuracy comparable to standard bone mineral density (BMD). With advances in magnetic resonance imaging (MRI), bound water and pore water, or a porosity index, can be quantified in several long bones in vivo. Since such imaging-derived measurements correlate with the fracture resistance of bone, they potentially provide new BMD-independent predictors of fracture risk. While numerous measurements of mineral, organic matrix, and bound water by Raman spectroscopy correlate with the strength and toughness of cortical bone, the clinical assessment of person's bone quality using spatially offset Raman spectroscopy (SORS) requires advanced spectral processing techniques that minimize contaminating signals from fat, skin, and blood. Limiting exposure of patients to ionizing radiation, QUS, MRI, and SORS has the potential to improve the assessment of fracture risk and track changes of new therapies that target bone matrix and micro-structure.
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Affiliation(s)
- Rachel K Surowiec
- Weldon School of Biomedical Engineering, Purdue University, 206 S. Martin Jischke Dr., West Lafayette, IN, 47907, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd., Indianapolis, IN, 46202, USA
| | - Mark D Does
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN, 37232, USA
- Institute of Imaging Science, Vanderbilt University Medical Center, 1161 21st Ave. S., Nashville, TN, 37232, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, 1161 21st Ave. S., Nashville, TN, 37232, USA
- Department of Electrical Engineering and Computer Science, Vanderbilt University, 400 24th Ave. S., Nashville, TN, 37212, USA
| | - Jeffry S Nyman
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN, 37232, USA.
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN, 37232, USA.
- Vanderbilt Center for Bone Biology, Vanderbilt University Medical Center, 1211 Medical Center Dr., Nashville, TN, 37212, USA.
- Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, TN, 37212, USA.
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18
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Liu B, Li X, Zhang JP, Li X, Yuan Y, Hou GH, Zhang HJ, Zhang H, Li Y, Mezzenga R. Protein Nanotubes as Advanced Material Platforms and Delivery Systems. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307627. [PMID: 37921269 DOI: 10.1002/adma.202307627] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 10/22/2023] [Indexed: 11/04/2023]
Abstract
Protein nanotubes (PNTs) as state-of-the-art nanocarriers are promising for various potential applications both in the food and pharmaceutical industries. Derived from edible starting sources like α-lactalbumin, lysozyme, and ovalbumin, PNTs bear properties of biocompatibility and biodegradability. Their large specific surface area and hydrophobic core facilitate chemical modification and loading of bioactive substances, respectively. Moreover, their enhanced permeability and penetration ability across biological barriers such as intestinal mucus, extracellular matrix, and thrombus clot, make it promising platforms for health-related applications. Most importantly, their simple preparation processes enable large-scale production, supporting applications in the biomedical and nanotechnological fields. Understanding the self-assembly principles is crucial for controlling their morphology, size, and shape, and thus provides the ground to a multitude of applications. Here, the current state-of-the-art of PNTs including their building materials, physicochemical properties, and self-assembly mechanisms are comprehensively reviewed. The advantages and limitations, as well as challenges and prospects for their successful applications in biomaterial and pharmaceutical sectors are then discussed and highlighted. Potential cytotoxicity of PNTs and the need of regulations as critical factors for enabling in vivo applications are also highlighted. In the end, a brief summary and future prospects for PNTs as advanced platforms and delivery systems are included.
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Affiliation(s)
- Bin Liu
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
- Department of Nutrition and Health, China Agricultural University, Beijing, 100091, P. R. China
| | - Xing Li
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Ji Peng Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Xin Li
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Yu Yuan
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Guo Hua Hou
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Hui Juan Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Hui Zhang
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Yuan Li
- Key Laboratory of Precision Nutrition and Food Quality, Research Center of Food Colloids and Delivery of Functionality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, P. R. China
| | - Raffaele Mezzenga
- Department of Health Sciences and Technology, ETH Zurich, Zürich, 8092, Switzerland
- Department of Materials, ETH Zurich, Zürich, 8092, Switzerland
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19
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Gardner B, Haskell J, Matousek P, Stone N. Guided principal component analysis (GPCA): a simple method for improving detection of a known analyte. Analyst 2023; 149:205-211. [PMID: 38014742 DOI: 10.1039/d3an00820g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
There is increasing interest in the application of Raman spectroscopy in a medical setting, ranging from supporting real-time clinical decisions e.g. surgical margins to assisting pathologists with disease classification. However, there remain a number of barriers for adoption in the medical setting due to the increased complexity of probing highly heterogeneous, dynamic biological materials. This inherent challenge can also limit the deployment of higher level analytical approaches such as Artificial Intelligence (AI) including convolutional neural networks (CNN), as there is a lack of a ground truth required for training purposes i.e. in complex clinical samples. Principal component analysis (PCA) is an unsupervised data reduction approach (orthogonal linear transformation) that has been used extensively in spectroscopy for 30+ years, due to its capability to simplify analysis of complex spectroscopic data. However, due to PCA being unsupervised features will inherently appear mixed and their rank may vary between experiments. Here we propose Guided PCA (GPCA), a simple approach that allows PCA to be guided with spectral data to ensure a consistent rank of a key target moiety by the inclusion of a reference (guiding) spectrum to the data set. This simplifies analysis, increases robustness of PCA analysis and improves quantification and the limits of detection and decreases RMSE.
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Affiliation(s)
- Benjamin Gardner
- School of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK.
| | - Jennifer Haskell
- School of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK.
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Oxford, OX11 0QX, UK.
| | - Nicholas Stone
- School of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK.
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20
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Gautam R, Ahmed R, Haugen E, Unal M, Fitzgerald S, Uppuganti S, Mahadevan-Jansen A, Nyman JS. Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 303:123240. [PMID: 37591015 PMCID: PMC10528408 DOI: 10.1016/j.saa.2023.123240] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 07/03/2023] [Accepted: 08/04/2023] [Indexed: 08/19/2023]
Abstract
Since spatially offset Raman spectroscopy (SORS) can acquire biochemical measurements of tissue quality through light scattering materials, we investigated the feasibility of this technique to acquire Raman bands related to the fracture resistance of bone. Designed to maximize signals at different offsets, a SORS probe was used to acquire spectra from cadaveric bone with and without skin-like tissue phantoms attenuating the light. Autoclaving the lateral side of femur mid-shafts from 5 female and 5 male donors at 100 °C and again at 120 °C reduced the yield stress of cortical beams subjected to three-point bending. It did not affect the volumetric bone mineral density or porosity. Without tissue phantoms, autoclaving affected more Raman characteristics of the organic matrix when determined by peak intensity ratios, but fewer matrix properties depended on the three offsets (5 mm, 6 mm, and 7 mm) when determined by band area ratios. The cut-off in the thickness of the tissue phantom layers was ∼4 mm for most properties, irrespective of offset. Matching trends when spectra were acquired without phantom layers between bone and the probe, ν1PO43-/Amide III and ν1PO43-/(proline + OH-proline) were higher and lower in the non-treated bone than in the autoclaved bone, respectively, when the thickness of tissue phantom layers was 4 mm. The layers, however, caused a loss of sensitivity to autoclaving-related changes in ν3CO3/ν1PO43- and crystallinity. Without advanced post-processing of Raman spectra, SORS acquisition through turbid layers can detect changes in Raman properties of bone that accompany a loss in bone strength.
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Affiliation(s)
- Rekha Gautam
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA; Biophotonics@Tyndall, IPIC, Tyndall National Institute, Cork, Ireland
| | - Rafay Ahmed
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA
| | - Ezekiel Haugen
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
| | - Mustafa Unal
- Department of Bioengineering, Karamanoglu Mehmetbey University, Karaman, 70200, Turkey; Department of Biophysics, Faculty of Medicine, Karamanoglu Mehmetbey University, Karaman 70200, Turkey
| | - Sean Fitzgerald
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
| | - Sasidhar Uppuganti
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA
| | - Anita Mahadevan-Jansen
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA; Vanderbilt Biophotonics Center, 410 24th Ave. S., Nashville, TN 37232, USA
| | - Jeffry S Nyman
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA; Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA; Department of Veterans Affairs, Tennessee Valley Healthcare System, 1310 24th Ave. S., Nashville, TN 37212, USA.
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21
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Eremina OE, Schaefer S, Czaja AT, Awad S, Lim MA, Zavaleta C. Multiplexing potential of NIR resonant and non-resonant Raman reporters for bio-imaging applications. Analyst 2023; 148:5915-5925. [PMID: 37850265 PMCID: PMC10947999 DOI: 10.1039/d3an01298k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
Multiplexed imaging, which allows for the interrogation of multiple molecular features simultaneously, is vital for addressing numerous challenges across biomedicine. Optically unique surface-enhanced Raman scattering (SERS) nanoparticles (NPs) have the potential to serve as a vehicle to achieve highly multiplexed imaging in a single acquisition, which is non-destructive, quantitative, and simple to execute. When using laser excitation at 785 nm, which allows for a lower background from biological tissues, near infrared (NIR) dyes can be used as Raman reporters to provide high Raman signal intensity due to the resonance effect. This class of imaging agents are known as surface-enhanced resonance Raman scattering (SERRS) NPs. Investigators have predominantly utilized two classes of Raman reporters in their nanoparticle constructs for use in biomedical applications: NIR-resonant and non-resonant Raman reporters. Herein, we investigate the multiplexing potential of five non-resonant SERS: BPE, 44DP, PTT, PODT, and BMMBP, and five NIR resonant SERRS NP flavors with heptamethine cyanine dyes: DTTC, IR-770, IR-780, IR-792, and IR-797, which have been extensively used for biomedical imaging applications. Although SERRS NPs display high Raman intensities, due to their resonance properties, we observed that non-resonant SERS NP concentrations can be quantitated by the intensity of their unique emissions with higher accuracy. Spectral unmixing of five-plex mixtures revealed that the studied non-resonant SERS NPs maintain their detection limits more robustly as compared to the NIR resonant SERRS NP flavors when introducing more components into a mixture.
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Affiliation(s)
- Olga E Eremina
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Sarah Schaefer
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Alexander T Czaja
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Samer Awad
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Matthew A Lim
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
| | - Cristina Zavaleta
- Department of Biomedical Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
- USC Michelson Center for Convergent Bioscience, University of Southern California, 1002 Childs Way, Los Angeles, CA 90089, USA
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22
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Šušnjar S, Martelli F, Mosca S, Venkata Sekar SK, Swartling J, Reistad N, Farina A, Pifferi A. Two-layer reconstruction of Raman spectra in diffusive media based on an analytical model in the time domain. OPTICS EXPRESS 2023; 31:40573-40591. [PMID: 38041354 DOI: 10.1364/oe.504105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 10/22/2023] [Indexed: 12/03/2023]
Abstract
We derive and validate an analytical model that describes the migration of Raman scattered photons in two-layer diffusive media, based on the diffusion equation in the time domain. The model is derived under a heuristic approximation that background optical properties are identical on the excitation and Raman emission wavelengths. Methods for the reconstruction of two-layer Raman spectra have been developed, tested in computer simulations and validated on tissue-mimicking phantom measurements data. Effects of different parameters were studied in simulations, showing that the thickness of the top layer and number of detected photon counts have the most significant impact on the reconstruction. The concept of quantitative, mathematically rigorous reconstruction using the proposed model was finally proven on experimental measurements, by successfully separating the spectra of silicone and calcium carbonate (calcite) layers, showing the potential for further development and eventual application in clinical diagnostics.
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23
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Mosca S, Lin Q, Stokes R, Bharucha T, Gangadharan B, Clarke R, Fernandez LG, Deats M, Walsby-Tickle J, Arman BY, Chunekar SR, Patil KD, Gairola S, Van Assche K, Dunachie S, Merchant HA, Kuwana R, Maes A, McCullagh J, Caillet C, Zitzmann N, Newton PN, Matousek P. Innovative method for rapid detection of falsified COVID-19 vaccines through unopened vials using handheld Spatially Offset Raman Spectroscopy (SORS). Vaccine 2023; 41:6960-6968. [PMID: 37865599 DOI: 10.1016/j.vaccine.2023.10.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/03/2023] [Accepted: 10/05/2023] [Indexed: 10/23/2023]
Abstract
Preventing, detecting, and responding to substandard and falsified vaccines is of critical importance for ensuring the safety, efficacy, and public trust in vaccines. This is of heightened importance in context of public health crisis, such as the COVID-19 pandemic, in which extreme world-wide shortages of vaccines provided a fertile ground for exploitation by falsifiers. Here, a proof-of-concept study explored the feasibility of using a handheld Spatially Offset Raman Spectroscopy (SORS) device to authenticate COVID-19 vaccines through rapid analysis of unopened vaccine vials. The results show that SORS can verify the chemical identity of dominant excipients non-invasively through vaccine vial walls. The ability of SORS to identify potentially falsified COVID-19 vaccines was demonstrated by measurement of surrogates for falsified vaccines contained in vaccine vials. In all cases studied, the SORS technique was able to differentiate between surrogate samples from the genuine COVISHIELD™ vaccine. The genuine vaccines tested included samples from six batches across two manufacturing sites to account for any potential variations between batches or manufacturing sites. Batch and manufacturing site variations were insignificant. In conjunction with existing security features, for example on labels and packaging, SORS provided an intrinsic molecular fingerprint of the dominant excipients of the vaccines. The technique could be extended to other COVID-19 and non-COVID-19 vaccines, as well as other liquid medicines. As handheld and portable SORS devices are commercially available and widely used for other purposes, such as airport security, they are rapidly deployable non-invasive screening tools for vaccine authentication.
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Affiliation(s)
- Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, OX11 0QX, UK
| | - Qianqi Lin
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, OX11 0QX, UK
| | - Robert Stokes
- Agilent Technologies LDA UK, Becquerel Avenue, Didcot OX11 0RA, UK
| | - Tehmina Bharucha
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford OX1 3QU, UK
| | - Bevin Gangadharan
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford OX1 3QU, UK
| | - Rebecca Clarke
- Department of Chemistry, University of Oxford, Oxford OX1 3TA, UK
| | - Laura Gomez Fernandez
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford OX1 3QU, UK
| | - Michael Deats
- Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; Infectious Diseases Data Observatory, Centre of Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
| | | | - Benediktus Yohan Arman
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford OX1 3QU, UK
| | | | - Kundan D Patil
- Serum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune 411028, India
| | - Sunil Gairola
- Serum Institute of India Pvt. Ltd., 212/2, Hadapsar, Pune 411028, India
| | - Kerlijn Van Assche
- Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; Infectious Diseases Data Observatory, Centre of Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
| | - Susanna Dunachie
- Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; Department of Microbiology and Infectious Diseases, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Hamid A Merchant
- Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK
| | - Rutendo Kuwana
- Regulation and Safety Unit, Regulation and Prequalification Department, Access to Medicines and Health Products Division, World Health Organization (WHO), Geneva, Switzerland
| | - Alexandrine Maes
- Regulation and Safety Unit, Regulation and Prequalification Department, Access to Medicines and Health Products Division, World Health Organization (WHO), Geneva, Switzerland
| | - James McCullagh
- Department of Chemistry, University of Oxford, Oxford OX1 3TA, UK
| | - Céline Caillet
- Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; Infectious Diseases Data Observatory, Centre of Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK
| | - Nicole Zitzmann
- Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford OX1 3QU, UK
| | - Paul N Newton
- Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; Infectious Diseases Data Observatory, Centre of Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK.
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus, OX11 0QX, UK; Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK; Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; Infectious Diseases Data Observatory, Centre of Tropical Medicine & Global Health, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7LG, UK.
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24
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Albini B, Galinetto P, Schiavi S, Giulotto E. Food Safety Issues in the Oltrepò Pavese Area: A SERS Sensing Perspective. SENSORS (BASEL, SWITZERLAND) 2023; 23:9015. [PMID: 38005403 PMCID: PMC10674787 DOI: 10.3390/s23229015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023]
Abstract
Handly and easy-to-use optical instrumentation is very important for food safety monitoring, as it provides the possibility to assess law and health compliances at every stage of the food chain. In particular, the Surface-enhanced Raman Scattering (SERS) method appears highly promising because the intrinsic drawback of Raman spectroscopy, i.e., the natural weakness of the effect and, in turn, of the signal, is overcome thanks to the peculiar interaction between laser light and plasmonic excitations at the SERS substrate. This fact paved the way for the widespread use of SERS sensing not only for food safety but also for biomedicine, pharmaceutical process analysis, forensic science, cultural heritage and more. However, the current technological maturity of the SERS technique does not find a counterpart in the recognition of SERS as a routine method in compliance protocols. This is mainly due to the very scattered landscape of SERS substrates designed and tailored specifically for the targeted analyte. In fact, a very large variety of SERS substrates were proposed for molecular sensing in different environments and matrices. This review presents the advantages and perspectives of SERS sensing in food safety. The focus of the survey is limited to specific analytes of interest for producers, consumers and stakeholders in Oltrepò Pavese, a definite regional area that is located within the district of Pavia in the northern part of Italy. Our attention has been addressed to (i) glyphosate in rice fields, (ii) histamine in a world-famous local product (wine), (iii) tetracycline, an antibiotic often detected in waste sludges that can be dangerous, for instance in maize crops and (iv) Sudan dyes-used as adulterants-in the production of saffron and other spices, which represent niche crops for Oltrepò. The review aims to highlight the SERS performance for each analyte, with a discussion of the different methods used to prepare SERS substrates and the different reported limits of detection.
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Affiliation(s)
- Benedetta Albini
- Dipartimento di Fisica, Università di Pavia, Via Bassi 6, 27100 Pavia, Italy; (B.A.); (P.G.)
| | - Pietro Galinetto
- Dipartimento di Fisica, Università di Pavia, Via Bassi 6, 27100 Pavia, Italy; (B.A.); (P.G.)
| | - Serena Schiavi
- Dipartimento di Chimica, Università di Pavia, Via Taramelli 12, 27100 Pavia, Italy;
| | - Enrico Giulotto
- Dipartimento di Fisica, Università di Pavia, Via Bassi 6, 27100 Pavia, Italy; (B.A.); (P.G.)
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25
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Bossi A, Sekar SKV, Lacerenza M, Gandolfi V, Šušnjar S, Lanka P, D’Andrea C, Vanna R, Valentini G, Farina A, Pifferi A. Time domain diffuse Raman spectroscopy using single pixel detection. BIOMEDICAL OPTICS EXPRESS 2023; 14:5749-5763. [PMID: 38021118 PMCID: PMC10659806 DOI: 10.1364/boe.502022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/18/2023] [Accepted: 09/19/2023] [Indexed: 12/01/2023]
Abstract
Diffuse Raman spectroscopy (DIRS) extends the high chemical specificity of Raman scattering to in-depth investigation of thick biological tissues. We present here a novel approach for time-domain diffuse Raman spectroscopy (TD-DIRS) based on a single-pixel detector and a digital micromirror device (DMD) within an imaging spectrometer for wavelength encoding. This overcomes the intrinsic complexity and high cost of detection arrays with ps-resolving time capability. Unlike spatially offset Raman spectroscopy (SORS) or frequency offset Raman spectroscopy (FORS), TD-DIRS exploits the time-of-flight distribution of photons to probe the depth of the Raman signal at a single wavelength with a single source-detector separation. We validated the system using a bilayer tissue-bone mimicking phantom composed of a 1 cm thick slab of silicone overlaying a calcium carbonate specimen and demonstrated a high differentiation of the two Raman signals. We reconstructed the Raman spectra of the two layers, offering the potential for improved and quantitative material analysis. Using a bilayer phantom made of porcine muscle and calcium carbonate, we proved that our system can retrieve Raman peaks even in the presence of autofluorescence typical of biomedical tissues. Overall, our novel TD-DIRS setup proposes a cost-effective and high-performance approach for in-depth Raman spectroscopy in diffusive media.
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Affiliation(s)
- Alessandro Bossi
- Politecnico di Milano, Department of Physics, Milan, Italy
- Politecnico di Milano, Department of Mechanics, Milan, Italy
| | | | - Michele Lacerenza
- Politecnico di Milano, Department of Physics, Milan, Italy
- PIONIRS s.r.l. Milano, Italy
| | | | - Stefan Šušnjar
- SpectraCure AB, Gasverksgatan 1, SE-222 29 Lund, Sweden
- Department of Physics, Lund University, P.O. Box 118, SE-221 00 Lund, Sweden
| | | | | | - Renzo Vanna
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
| | - Gianluca Valentini
- Politecnico di Milano, Department of Physics, Milan, Italy
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
| | - Andrea Farina
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
| | - Antonio Pifferi
- Politecnico di Milano, Department of Physics, Milan, Italy
- CNR-Institute for Photonics and Nanotechnologies (CNR-IFN), Milan, Italy
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26
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Cheng JX, Ni H, Yuan Y, Li M, Zhu Y, Ge X, Yin J, Dessai CP, Wang L. Millimeter-deep micron-resolution vibrational imaging by shortwave infrared photothermal microscopy. RESEARCH SQUARE 2023:rs.3.rs-3449548. [PMID: 37886499 PMCID: PMC10602175 DOI: 10.21203/rs.3.rs-3449548/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Deep-tissue chemical imaging plays a vital role in biological and medical applications. Here, we present a shortwave infrared photothermal (SWIP) microscope for millimeter-deep vibrational imaging with sub-micron lateral resolution and nanoparticle detection sensitivity. By pumping the overtone transition of carbon-hydrogen bonds and probing the subsequent photothermal lens with shortwave infrared light, SWIP can obtain chemical contrast from polymer particles located millimeter-deep in a highly scattering phantom. By fast digitization of the optically probed signal, the amplitude of the photothermal signal is shown to be 63 times larger than that of the photoacoustic signal, thus enabling highly sensitive detection of nanoscale objects. SWIP can resolve the intracellular lipids across an intact tumor spheroid and the layered structure in millimeter-thick liver, skin, brain, and breast tissues. Together, SWIP microscopy fills a gap in vibrational imaging with sub-cellular resolution and millimeter-level penetration, which heralds broad potential for life science and clinical applications.
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27
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Xie H, Zhang Y, Wu Z, Bao Z, Lin L, Ye J. Locating Three-Dimensional Position of Deep-Seated SERS Phantom Lesions in Thick Tissues Using Tomographic Transmission Raman Spectroscopy. ACS APPLIED MATERIALS & INTERFACES 2023; 15:44665-44675. [PMID: 37704185 DOI: 10.1021/acsami.3c07792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
Locating distinct objects within a thick scattering medium remains a long-standing challenge in the fields of materials science, health, and engineering. Transmission Raman spectroscopy (TRS) with the use of surface-enhanced Raman scattering (SERS) nanoparticles has proven to be an effective approach to detect deep-seated lesions inside thick biological tissues. However, it has not yet been proven to spatially locate deep lesions in three dimensions using optical modalities. Herein, we present the concept of tomographic TRS and report its successful use for accurately locating SERS nanoparticles in elongated rod-like thick tissues. Our work starts with theoretical simulations of Raman photon propagation in tissues. We discovered a linear relationship between the Raman spectral peak ratio and propagation distance of Raman photons in tissues, allowing us to predict the location of lesions tagged by SERS NPs. Based on this, we propose a two-step tomographic TRS strategy, which includes axial scanning and ring scanning. We demonstrate the robustness of our approach using ex vivo thick tissue (4.5 cm in thickness) and locate an embedded SERS phantom lesion, with a ring scanning step of 10-30°. We successfully locate multiple SERS phantom lesions in the ex vivo porcine muscle stack with high accuracy (absolute error of <2 mm). Our method is rapid, efficient, and of low cost compared to current tomographic medical imaging techniques. This work advances Raman techniques for three-dimensional positioning and offers new insights toward practical diagnosis applications.
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Affiliation(s)
- Haoqiang Xie
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Yumin Zhang
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Zongyu Wu
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Zhouzhou Bao
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P. R. China
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P. R. China
| | - Li Lin
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineering, Shanghai Jiao Tong University, Shanghai 200030, P. R. China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, P. R. China
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28
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Ahmed R, Unal M, Gautam R, Uppuganti S, Derasari S, Mahadevan-Jansen A, Nyman JS. Sensitivity of the amide I band to matrix manipulation in bone: a Raman micro-spectroscopy and spatially offset Raman spectroscopy study. Analyst 2023; 148:4799-4809. [PMID: 37602820 PMCID: PMC10528211 DOI: 10.1039/d3an00527e] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
The fracture resistance of bone arises from the hierarchical arrangement of minerals, collagen fibrils (i.e., cross-linked triple helices of α1 and α2 collagen I chains), non-collagenous proteins, and water. Raman spectroscopy (RS) is not only sensitive to the relative fractions of these constituents, but also to the secondary structure of bone proteins. To assess the ability of RS to detect differences in the protein structure, we quantified the effect of sequentially autoclaving (AC) human cortical bone at 100 °C (∼34.47 kPa) and then at 120 °C (∼117.21 kPa) on the amide I band using a commercial Raman micro-spectroscopy (μRS) instrument and custom spatially offset RS (SORS) instrument in which rings of collection fiber optics are offset from the central excitation fiber optics within a hand-held, cylindrical probe. Being clinically viable, measurements by SORS involved collecting Raman spectra of cadaveric femur mid-shafts (5 male & 5 female donors) through layers of a tissue mimic. Otherwise, μRS and SORS measurements were acquired directly from each bone. AC-related changes in the helical status of collagen I were assessed using amide I sub-peak ratios (intensity, I, at ∼1670 cm-1 relative to intensities at ∼1610 cm-1 and ∼1640 cm-1). The autoclaving manipulation significantly decreased the selected amide I sub-peak ratios as well as shifted peaks at ∼1605 cm-1 (μRS), ∼1636 cm-1 (SORS) and ∼1667 cm-1 in both μRS and SORS. Compared to μRS, SORS detected more significant differences in the amide I sub-peak ratios when the fiber optic probe was directly applied to bone. SORS also detected AC-related decreases in I1670/I1610 and I1670/I1640 when spectra were acquired through layers of the tissue mimic with a thickness ≤2 mm by the 7 mm offset ring, but not with the 5 mm or 6 mm offset ring. Overall, the SORS instrument was more sensitive than the conventional μRS instrument to pressure- and temperature-related changes in the organic matrix that affect the fracture resistance of bone, but SORS analysis of the amide I band is limited to an overlying thickness layer of 2 mm.
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Affiliation(s)
- Rafay Ahmed
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA
| | - Mustafa Unal
- Department of Bioengineering, Karamanoglu Mehmetbey University, Karaman, Türkiye 70200
- Department of Biophysics, Faculty of Medicine, Karamanoglu Mehmetbey University, Karaman, Türkiye 70200.
| | - Rekha Gautam
- Biophotonics@Tyndall, IPIC, Tyndall National Institute, Cork, Ireland
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
- Vanderbilt Biophotonics Center, 410 24th Ave. S., Nashville, TN 37232, USA
| | - Sasidhar Uppuganti
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA
| | - Shrey Derasari
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
- Vanderbilt Biophotonics Center, 410 24th Ave. S., Nashville, TN 37232, USA
| | - Anita Mahadevan-Jansen
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
- Vanderbilt Biophotonics Center, 410 24th Ave. S., Nashville, TN 37232, USA
| | - Jeffry S Nyman
- Department of Orthopaedic Surgery, Vanderbilt University Medical Center, 1215 21st Ave. S., Suite 4200, Nashville, TN 37232, USA
- Department of Biomedical Engineering, Vanderbilt University, 5824 Stevenson Center, Nashville, TN 37232, USA
- Department of Veterans Affairs, Tennessee Valley Healthcare System, 1310 24th Ave. S., Nashville, TN 37212, USA
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Sigle M, Rohlfing AK, Kenny M, Scheuermann S, Sun N, Graeßner U, Haug V, Sudmann J, Seitz CM, Heinzmann D, Schenke-Layland K, Maguire PB, Walch A, Marzi J, Gawaz MP. Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution. Nat Commun 2023; 14:5799. [PMID: 37726278 PMCID: PMC10509269 DOI: 10.1038/s41467-023-41417-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 09/04/2023] [Indexed: 09/21/2023] Open
Abstract
Spatial transcriptomics of histological sections have revolutionized research in life sciences and enabled unprecedented insights into genetic processes involved in tissue reorganization. However, in contrast to genomic analysis, the actual biomolecular composition of the sample has fallen behind, leaving a gap of potentially highly valuable information. Raman microspectroscopy provides untargeted spatiomolecular information at high resolution, capable of filling this gap. In this study we demonstrate spatially resolved Raman "spectromics" to reveal homogeneity, heterogeneity and dynamics of cell matrix on molecular levels by repurposing state-of-the-art bioinformatic analysis tools commonly used for transcriptomic analyses. By exploring sections of murine myocardial infarction and cardiac hypertrophy, we identify myocardial subclusters when spatially approaching the pathology, and define the surrounding metabolic and cellular (immune-) landscape. Our innovative, label-free, non-invasive "spectromics" approach could therefore open perspectives for a profound characterization of histological samples, while additionally allowing the combination with consecutive downstream analyses of the very same specimen.
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Affiliation(s)
- Manuel Sigle
- Department of Cardiology and Angiology, University Hospital Tuebingen, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Anne-Katrin Rohlfing
- Department of Cardiology and Angiology, University Hospital Tuebingen, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Martin Kenny
- UCD Conway SPHERE Research Group, Conway Institute, University College Dublin, Dublin, Ireland
- School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Sophia Scheuermann
- Department of Pediatric Hematology and Oncology, University Children's Hospital Tuebingen, 72076, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, 72076, Tuebingen, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Ulla Graeßner
- Department of Pediatric Hematology and Oncology, University Children's Hospital Tuebingen, 72076, Tuebingen, Germany
| | - Verena Haug
- Department of Cardiology and Angiology, University Hospital Tuebingen, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Jessica Sudmann
- Department of Cardiology and Angiology, University Hospital Tuebingen, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Christian M Seitz
- Department of Pediatric Hematology and Oncology, University Children's Hospital Tuebingen, 72076, Tuebingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, 72076, Tuebingen, Germany
| | - David Heinzmann
- Department of Cardiology and Angiology, University Hospital Tuebingen, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
| | - Katja Schenke-Layland
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, 72076, Tuebingen, Germany
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany
| | - Patricia B Maguire
- UCD Conway SPHERE Research Group, Conway Institute, University College Dublin, Dublin, Ireland
- School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
- Institute for Discovery, O'Brien Centre for Science, University College Dublin, Dublin, Ireland
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Julia Marzi
- Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, 72076, Tuebingen, Germany
- Institute of Biomedical Engineering, Department for Medical Technologies and Regenerative Medicine, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany
- NMI Natural and Medical Sciences Institute at the University of Tuebingen, 72770, Reutlingen, Germany
| | - Meinrad Paul Gawaz
- Department of Cardiology and Angiology, University Hospital Tuebingen, Eberhard Karls University Tuebingen, 72076, Tuebingen, Germany.
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30
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Haskell J, Hubbard T, Murray C, Gardner B, Ives C, Ferguson D, Stone N. High wavenumber Raman spectroscopy for intraoperative assessment of breast tumour margins. Analyst 2023; 148:4373-4385. [PMID: 37594446 DOI: 10.1039/d3an00574g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Optimal oncological results and patient outcomes are achieved in surgery for early breast cancer with breast conserving surgery (BCS) where this is appropriate. A limitation of BCS occurs when cancer is present at, or close, to the resection margin - termed a 'positive' margin - and re-excision is recommended to reduce recurrence rate. This is occurs in 17% of BCS in the UK and there is therefore a critical need for a way to assess margin status intraoperatively to ensure complete excision with adequate margins at the first operation. This study presents the potential of high wavenumber (HWN) Raman spectroscopy to address this. Freshly excised specimens from thirty patients undergoing surgery for breast cancer were measured using a surface Raman probe, and a multivariate classification model to predict normal versus tumour was developed from the data. This model achieved 77.1% sensitivity and 90.8% specificity following leave one patient out cross validation, with the defining features being differences in water content and lipid versus protein content. This demonstrates the feasibility of HWN Raman spectroscopy to facilitate future intraoperative margin assessment at specific locations. Clinical utility of the approach will require further research.
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Affiliation(s)
- Jennifer Haskell
- Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
| | - Thomas Hubbard
- Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
| | - Claire Murray
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
| | - Benjamin Gardner
- Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
| | - Charlotte Ives
- Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
| | - Douglas Ferguson
- Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
| | - Nick Stone
- Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter, Devon, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, Devon, UK
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Choi A, Song YY, Kim J, Kim D, Kim MH, Lee SW, Seo DH, Lee HW. Enhancing Efficiency of Low-Grade Heat Harvesting by Structural Vibration Entropy in Thermally Regenerative Electrochemical Cycles. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2303199. [PMID: 37395728 DOI: 10.1002/adma.202303199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/22/2023] [Accepted: 06/29/2023] [Indexed: 07/04/2023]
Abstract
The majority of waste-heat energy exists in the form of low-grade heat (<100 °C), which is immensely difficult to convert into usable energy using conventional energy-harvesting systems. Thermally regenerative electrochemical cycles (TREC), which integrate battery and thermal-energy-harvesting functionalities, are considered an attractive system for low-grade heat harvesting. Herein, the role of structural vibration modes in enhancing the efficacy of TREC systems is investigated. How changes in bonding covalency, influenced by the number of structural water molecules, impact the vibration modes is analyzed. It is discovered that even small amounts of water molecules can induce the A1g stretching mode of cyanide ligands with strong structural vibration energy, which significantly contributes to a larger temperature coefficient (ɑ) in a TREC system. Leveraging these insights, a highly efficient TREC system using a sodium-ion-based aqueous electrolyte is designed and implemented. This study provides valuable insights into the potential of TREC systems, offering a deeper understanding of the intrinsic properties of Prussian Blue analogs regulated by structural vibration modes. These insights open up new possibilities for enhancing the energy-harvesting capabilities of TREC systems.
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Affiliation(s)
- Ahreum Choi
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - You-Yeob Song
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Juyoung Kim
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Donghyeon Kim
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Min-Ho Kim
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Seok Woo Lee
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
| | - Dong-Hwa Seo
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Hyun-Wook Lee
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
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32
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Raj P, Wu L, Almeida C, Conway L, Tanwar S, Middendorf J, Barman I. Shining Light on Osteoarthritis: Spatially Offset Raman Spectroscopy as a Window into Cartilage Health. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.14.553328. [PMID: 37645996 PMCID: PMC10462085 DOI: 10.1101/2023.08.14.553328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Articular cartilage is a complex tissue, and early detection of osteoarthritis (OA) is crucial for effective treatment. However, current imaging modalities lack molecular specificity and primarily detect late-stage changes. In this study, we propose the use of Spatially Offset Raman Spectroscopy (SORS) for non-invasive, depth-dependent, and molecular-specific diagnostics of articular cartilage. We demonstrate the potential of SORS to penetrate deep layers of cartilage, providing a comprehensive understanding of disease progression. Our SORS measurements were characterized and validated through mechanical and histological techniques, revealing strong correlations between spectroscopic measurements and both Young's modulus and depth of cartilage damage. By longitudinally monitoring enzymatically degraded condyles, we further developed a depth-dependent damage-tracking method. Our analysis revealed distinct components related to sample depth and glycosaminoglycan (GAG) changes, offering a comprehensive picture of cartilage health. Collectively, these findings highlight the potential of SORS as a valuable tool for enhancing OA management and improving patient outcomes.
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Affiliation(s)
- Piyush Raj
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Lintong Wu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Craig Almeida
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Lauren Conway
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Swati Tanwar
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jill Middendorf
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
- The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, Johns Hopkins University, Baltimore, Maryland, USA
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33
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Wu Z, Deng B, Zhou Y, Xie H, Zhang Y, Lin L, Ye J. Non-Invasive Detection, Precise Localization, and Perioperative Navigation of In Vivo Deep Lesions Using Transmission Raman Spectroscopy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301721. [PMID: 37340601 PMCID: PMC10460859 DOI: 10.1002/advs.202301721] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/20/2023] [Indexed: 06/22/2023]
Abstract
Non-invasive detection and precise localization of deep lesions have attracted significant attention for both fundamental and clinical studies. Optical modality techniques are promising with high sensitivity and molecular specificity, but are limited by shallow tissue penetration and the failure to accurately determine lesion depth. Here the authors report in vivo ratiometric surface-enhanced transmission Raman spectroscopy (SETRS) for non-invasive localization and perioperative surgery navigation of deep sentinel lymph nodes in live rats. The SETRS system uses ultrabright surface-enhanced Raman spectroscopy (SERS) nanoparticles with a low detection limit of 10 pM and a home-built photosafe transmission Raman spectroscopy setup. The ratiometric SETRS strategy is proposed based on the ratio of multiple Raman spectral peaks for obtaining lesion depth. Via this strategy, the depth of the phantom lesions in ex vivo rat tissues is precisely determined with a mean-absolute-percentage-error of 11.8%, and the accurate localization of a 6-mm-deep rat popliteal lymph node is achieved. The feasibility of ratiometric SETRS allows the successful perioperative navigation of in vivo lymph node biopsy surgery in live rats under clinically safe laser irradiance. This study represents a significant step toward the clinical translation of TRS techniques, providing new insights for the design and implementation of in vivo SERS applications.
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Affiliation(s)
- Zongyu Wu
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
| | - Binge Deng
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
| | - Yutong Zhou
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
| | - Haoqiang Xie
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
| | - Yumin Zhang
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
| | - Li Lin
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of biomedical engineeringShanghai Jiao Tong UniversityShanghai200030P. R. China
- Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240P. R. China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of MedicineShanghai Jiao Tong UniversityShanghai200127P. R. China
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34
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Mosca S, Sowoidnich K, Mehta M, Skinner WH, Gardner B, Palombo F, Stone N, Matousek P. 10 kHz Shifted-Excitation Raman Difference Spectroscopy with Charge-Shifting Charge-Coupled Device Read-Out for Effective Mitigation of Dynamic Interfering Backgrounds. APPLIED SPECTROSCOPY 2023; 77:569-582. [PMID: 37097820 DOI: 10.1177/00037028231167441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
In this work we demonstrate an advanced concept of a charge-shifting charge-coupled device (CCD) read-out combined with shifted excitation Raman difference spectroscopy (SERDS) capable of operating at up to 10 kHz acquisition rates for the effective mitigation of fast-evolving interfering backgrounds in Raman spectroscopy. This rate is 10-fold faster than that achievable with an instrument we described previously and is overall 1000-fold faster than possible with conventional spectroscopic CCDs capable of operating at up to ∼10 Hz rates. The speed enhancement was realized by incorporating a periodic mask at the internal slit of an imaging spectrometer permitting a smaller shift of the charge on the CCD (8 pixels) to be required during the cyclic shifting process compared with the earlier design which employed an 80-pixel shift. The higher acquisition speed enables the more accurate sampling of the two SERDS spectral channels, enabling it to effectively tackle highly challenging situations with rapidly evolving interfering fluorescence backgrounds. The performance of the instrument is evaluated for heterogeneous fluorescent samples which are moved rapidly in front of the detection system aiming at the differentiation of chemical species and their quantification. The performance of the system is compared with that of the earlier 1 kHz design and a conventional CCD operated at its maximum rate of 5.4 Hz as previously. In all situations tested, the newly developed 10 kHz system outperformed the earlier variants. The 10 kHz instrument can benefit a number of prospective applications including: disease diagnosis where high sensitivity mapping of complex biological matrices in the presence of natural fluorescence bleaching restricts achievable limits of detection; accurate data acquisition from moving heterogeneous samples (or moving a handheld instrument in front of the sample during data acquisition) or data acquisition under varying ambient light conditions (e.g., due to casting shadows, sample or instrument movement). Other beneficial scenarios include monitoring rapidly evolving Raman signals in the presence of largely static background signals such as in situations where a heterogeneous sample is moving rapidly in front of a detection system (e.g., a conveyor belt) in the presence of static ambient light.
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Affiliation(s)
- Sara Mosca
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus OX11 0QX, UK
| | - Kay Sowoidnich
- Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany
| | - Megha Mehta
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK
| | - William H Skinner
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK
| | - Benjamin Gardner
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK
| | - Francesca Palombo
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK
| | - Nicholas Stone
- Department of Physics and Astronomy, University of Exeter, Exeter EX4 4QL, UK
| | - Pavel Matousek
- Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, UKRI, Harwell Campus OX11 0QX, UK
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35
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Zhang S, Qi Y, Tan SPH, Bi R, Olivo M. Molecular Fingerprint Detection Using Raman and Infrared Spectroscopy Technologies for Cancer Detection: A Progress Review. BIOSENSORS 2023; 13:bios13050557. [PMID: 37232918 DOI: 10.3390/bios13050557] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/12/2023] [Accepted: 05/16/2023] [Indexed: 05/27/2023]
Abstract
Molecular vibrations play a crucial role in physical chemistry and biochemistry, and Raman and infrared spectroscopy are the two most used techniques for vibrational spectroscopy. These techniques provide unique fingerprints of the molecules in a sample, which can be used to identify the chemical bonds, functional groups, and structures of the molecules. In this review article, recent research and development activities for molecular fingerprint detection using Raman and infrared spectroscopy are discussed, with a focus on identifying specific biomolecules and studying the chemical composition of biological samples for cancer diagnosis applications. The working principle and instrumentation of each technique are also discussed for a better understanding of the analytical versatility of vibrational spectroscopy. Raman spectroscopy is an invaluable tool for studying molecules and their interactions, and its use is likely to continue to grow in the future. Research has demonstrated that Raman spectroscopy is capable of accurately diagnosing various types of cancer, making it a valuable alternative to traditional diagnostic methods such as endoscopy. Infrared spectroscopy can provide complementary information to Raman spectroscopy and detect a wide range of biomolecules at low concentrations, even in complex biological samples. The article concludes with a comparison of the techniques and insights into future directions.
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Affiliation(s)
- Shuyan Zhang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
| | - Yi Qi
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
| | - Sonia Peng Hwee Tan
- Department of Biomedical Engineering, National University of Singapore (NUS), 4 Engineering Drive 3 Block 4, #04-08, Singapore 117583, Singapore
| | - Renzhe Bi
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
| | - Malini Olivo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos #07-01, Singapore 138634, Singapore
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36
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Liu Z, Huang M, Zhu Q, Qin J, Kim MS. Evaluating performance of SORS-based subsurface signal separation methods using statistical replication Monte Carlo simulation. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 293:122520. [PMID: 36812758 DOI: 10.1016/j.saa.2023.122520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 02/10/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Spatially offset Raman spectroscopy (SORS) is a depth-profiling technique with deep information enhancement. However, the interference of the surface layer cannot be eliminated without prior information. The signal separation method is an effective candidate for reconstructing pure subsurface Raman spectra, and there is still a lack of evaluation means for the signal separation method. Therefore, a method based on line-scan SORS combined with improved statistical replication Monte Carlo (SRMC) simulation was proposed to evaluate the effectiveness of food subsurface signal separation method. Firstly, SRMC simulates the photon flux in the sample, generates a corresponding number of Raman photons at each voxel of interest, and collects them by external map scanning. Then, 5625 groups of mixed signals with different optical characteristic parameters were convoluted with spectra of public database and application measurement and introduced into signal separation methods. The effectiveness and application range of the method were evaluated by the similarity between the separated signals and the source Raman spectra. Finally, the simulation results were verified by three packaged foods. FastICA method can effectively separate Raman signals from subsurface layer of food and thus promote deep quality evaluation of food.
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Affiliation(s)
- Zhenfang Liu
- Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China
| | - Min Huang
- Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China.
| | - Qibing Zhu
- Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China
| | - Jianwei Qin
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Bldg., 303, BARC-East, 10300 Baltimore Ave., MD 20705-2350, USA
| | - Moon S Kim
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Bldg., 303, BARC-East, 10300 Baltimore Ave., MD 20705-2350, USA
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37
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Park M, Somborn A, Schlehuber D, Keuter V, Deerberg G. Raman spectroscopy in crop quality assessment: focusing on sensing secondary metabolites: a review. HORTICULTURE RESEARCH 2023; 10:uhad074. [PMID: 37249949 PMCID: PMC10208899 DOI: 10.1093/hr/uhad074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/12/2023] [Indexed: 05/31/2023]
Abstract
As a crop quality sensor, Raman spectroscopy has been consistently proposed as one of the most promising and non-destructive methods for qualitative and quantitative analysis of plant substances, because it can measure molecular structures in a short time without requiring pretreatment along with simple usage. The sensitivity of the Raman spectrum to target chemicals depends largely on the wavelength, intensity of the laser power, and exposure time. Especially for plant samples, it is very likely that the peak of the target material is covered by strong fluorescence effects. Therefore, methods using lasers with low energy causing less fluorescence, such as 785 nm or near-infrared, are vigorously discussed. Furthermore, advanced techniques for obtaining more sensitive and clear spectra, like surface-enhanced Raman spectroscopy, time-gated Raman spectroscopy or combination with thin-layer chromatography, are being investigated. Numerous interpretations of plant quality can be represented not only by the measurement conditions but also by the spectral analysis methods. Up to date, there have been attempted to optimize and generalize analysis methods. This review summarizes the state of the art of micro-Raman spectroscopy in crop quality assessment focusing on secondary metabolites, from in vitro to in vivo and even in situ, and suggests future research to achieve universal application.
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Affiliation(s)
| | - Annette Somborn
- Fraunhofer Institute for Environmental, Safety and Energy Technologies UMSICHT, 46047, Oberhausen, Germany
| | - Dennis Schlehuber
- Fraunhofer Institute for Environmental, Safety and Energy Technologies UMSICHT, 46047, Oberhausen, Germany
| | - Volkmar Keuter
- Fraunhofer Institute for Environmental, Safety and Energy Technologies UMSICHT, 46047, Oberhausen, Germany
| | - Görge Deerberg
- Fraunhofer Institute for Environmental, Safety and Energy Technologies UMSICHT, 46047, Oberhausen, Germany
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38
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Deriu C, Thakur S, Tammaro O, Fabris L. Challenges and opportunities for SERS in the infrared: materials and methods. NANOSCALE ADVANCES 2023; 5:2132-2166. [PMID: 37056617 PMCID: PMC10089128 DOI: 10.1039/d2na00930g] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
In the wake of a global, heightened interest towards biomarker and disease detection prompted by the SARS-CoV-2 pandemic, surface enhanced Raman spectroscopy (SERS) positions itself again at the forefront of biosensing innovation. But is it ready to move from the laboratory to the clinic? This review presents the challenges associated with the application of SERS to the biomedical field, and thus, to the use of excitation sources in the near infrared, where biological windows allow for cell and through-tissue measurements. Two main tackling strategies will be discussed: (1) acting on the design of the enhancing substrate, which includes manipulation of nanoparticle shape, material, and supramolecular architecture, and (2) acting on the spectral collection set-up. A final perspective highlights the upcoming scientific and technological bets that need to be won in order for SERS to stably transition from benchtop to bedside.
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Affiliation(s)
- Chiara Deriu
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
| | - Shaila Thakur
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
| | - Olimpia Tammaro
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
| | - Laura Fabris
- Department of Applied Science and Technology, Politecnico di Torino 10129 Turin Italy
- Department of Materials Science and Engineering, Rutgers University Piscataway NJ 08854 USA
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39
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Zhang Y, Chen R, Liu F, Miao P, Lin L, Ye J. In Vivo Surface-Enhanced Transmission Raman Spectroscopy under Maximum Permissible Exposure: Toward Photosafe Detection of Deep-Seated Tumors. SMALL METHODS 2023; 7:e2201334. [PMID: 36572635 DOI: 10.1002/smtd.202201334] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/19/2022] [Indexed: 06/18/2023]
Abstract
The detection of deep-seated lesions is of great significance for biomedical applications. However, due to the strong photon absorption and scattering of biological tissues, it is challenging to realize in vivo deep optical detections, particularly for those using the safe laser irradiance below clinical maximum permissible exposure (MPE). In this work, the combination of ultra-bright surface-enhanced Raman scattering (SERS) nanotags and transmission Raman spectroscopy (TRS) is reported to achieve the non-invasive and photosafe detection of "phantom" lesions deeply hidden in biological tissues, under the guidance of theoretical calculations showing the importance of SERS nanotags' brightness and the expansion of laser beam size. Using a home-built TRS system with a laser power density of 0.264 W cm-2 (below the MPE criteria), we successfully demonstrated the detection of SERS nanotags through up to 14-cm-thick ex vivo porcine tissues, as well as in vivo imaging of "phantom" lesions labeled by SERS nanotags in a 1.5-cm-thick unshaved mouse under MPE. This work highlights the potential of transmission Raman-guided identification and non-invasive imaging toward clinically photosafe cancer diagnoses.
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Affiliation(s)
- Yumin Zhang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Ruoyu Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Fugang Liu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Peng Miao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Li Lin
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
| | - Jian Ye
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
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40
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Al-Attili M, Ferreira C, Price C, Faulds K, Chen YC. Development of a Spatially Offset Raman Spectroscopy Probe for Monitoring Pharmaceutical Drying. Chem Eng Res Des 2023. [DOI: 10.1016/j.cherd.2023.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
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41
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Klapec DJ, Czarnopys G, Pannuto J. Interpol review of the analysis and detection of explosives and explosives residues. Forensic Sci Int Synerg 2023; 6:100298. [PMID: 36685733 PMCID: PMC9845958 DOI: 10.1016/j.fsisyn.2022.100298] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Douglas J. Klapec
- Arson and Explosives Section I, United States Department of Justice, Bureau of Alcohol, Tobacco, Firearms and Explosives, Forensic Science Laboratory, 6000 Ammendale Road, Ammendale, MD, 20705, USA
| | - Greg Czarnopys
- Forensic Services, United States Department of Justice, Bureau of Alcohol, Tobacco, Firearms and Explosives, Forensic Science Laboratory, 6000 Ammendale Road, Ammendale, MD, 20705, USA
| | - Julie Pannuto
- United States Department of Justice, Bureau of Alcohol, Tobacco, Firearms and Explosives, Forensic Science Laboratory, 6000 Ammendale Road, Ammendale, MD, 20705, USA
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42
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Weber A, Hoplight B, Ogilvie R, Muro C, Khandasammy SR, Pérez-Almodóvar L, Sears S, Lednev IK. Innovative Vibrational Spectroscopy Research for Forensic Application. Anal Chem 2023; 95:167-205. [PMID: 36625116 DOI: 10.1021/acs.analchem.2c05094] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Alexis Weber
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.,SupreMEtric LLC, 7 University Pl. B210, Rensselaer, New York 12144, United States
| | - Bailey Hoplight
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Rhilynn Ogilvie
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Claire Muro
- New York State Police Forensic Investigation Center, Building #30, Campus Access Rd., Albany, New York 12203, United States
| | - Shelby R Khandasammy
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Luis Pérez-Almodóvar
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Samuel Sears
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.,SupreMEtric LLC, 7 University Pl. B210, Rensselaer, New York 12144, United States
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43
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Odion RA, Vo-Dinh T. Optical recognition of constructs using hyperspectral imaging and detection (ORCHID). Sci Rep 2022; 12:21141. [PMID: 36476976 PMCID: PMC9729193 DOI: 10.1038/s41598-022-25735-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 12/05/2022] [Indexed: 12/13/2022] Open
Abstract
Challenges to deep sample imaging have necessitated the development of special techniques such as spatially offset optical spectroscopy to collect signals that have travelled through several layers of tissue. However, these techniques provide only spectral information in one dimension (i.e., depth). Here, we describe a general and practical method, referred to as Optical Recognition of Constructs Using Hyperspectral Imaging and Detection (ORCHID). The sensing strategy integrates (1) the spatial offset detection concept by computationally binning 2D optical data associated with digital offsets based on selected radial pixel distances from the excitation source; (2) hyperspectral imaging using tunable filter; and (3) digital image binding and collation. ORCHID is a versatile modality that is designed to collect optical signals deep inside samples across three spatial (X, Y, Z) as well as spectral dimensions. The ORCHID method is applicable to various optical techniques that exhibit narrow-band structures, from Raman scattering to quantum dot luminescence. Samples containing surface-enhanced Raman scattering (SERS)-active gold nanostar probes and quantum dots embedded in gel were used to show a proof of principle for the ORCHID concept. The resulting hyperspectral data cube is shown to spatially locate target emitting nanoparticle volumes and provide spectral information for in-depth 3D imaging.
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Affiliation(s)
- Ren A. Odion
- grid.26009.3d0000 0004 1936 7961Fitzpatrick Institute for Photonics, Duke University, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Department of Biomedical Engineering, Duke University, Durham, NC USA
| | - Tuan Vo-Dinh
- grid.26009.3d0000 0004 1936 7961Fitzpatrick Institute for Photonics, Duke University, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Department of Biomedical Engineering, Duke University, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Department of Chemistry, Duke University, Durham, NC USA
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44
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New Raman spectroscopic methods’ application in forensic science. TALANTA OPEN 2022. [DOI: 10.1016/j.talo.2022.100124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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45
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Lee H, Lee K, Ryu S, Yi Y, Jeon J, Kim S, Kang H. Nondestructive thickness determination of polymers based on optical contrast of graphene. APPLIED NANOSCIENCE 2022. [DOI: 10.1007/s13204-022-02710-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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46
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Wang J, Zhang G. Side‐viewing handheld confocal Raman probe coupled with an off‐axis parabolic mirror for superficial epithelial Raman measurements of luminal organs. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202200010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Jianfeng Wang
- Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics Beijing Institute of Technology Beijing China
- Institute of Engineering Medicine, Beijing Institute of Technology Beijing China
| | - Guling Zhang
- College of Science Minzu University of China Beijing China
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47
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Berry M, McCabe SM, Sloan-Dennison S, Laing S, Shand NC, Graham D, Faulds K. Tomographic Imaging and Localization of Nanoparticles in Tissue Using Surface-Enhanced Spatially Offset Raman Spectroscopy. ACS APPLIED MATERIALS & INTERFACES 2022; 14:31613-31624. [PMID: 35801671 PMCID: PMC9305698 DOI: 10.1021/acsami.2c05611] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
A fundamental question crucial to surface-enhanced spatially offset Raman spectroscopy (SESORS) imaging and implementing it in a clinical setting for in vivo diagnostic purposes is whether a SESORS image can be used to determine the exact location of an object within tissue? To address this question, multiple experimental factors pertaining to the optical setup in imaging experiments using an in-house-built point-collection-based spatially offset Raman spectroscopy (SORS) system were investigated to determine those critical to the three-dimensional (3D) positioning capability of SESORS. Here, we report the effects of the spatial offset magnitude and geometry on locating nanoparticles (NPs) mixed with silica powder as an imaging target through tissue and outline experimental techniques to allow for the correct interpretation of SESORS images to ascertain the correct location of NPs in the two-dimensional x, y-imaging plane at depth. More specifically, the effect of "linear offset-induced image drag" is presented, which refers to a spatial distortion in SESORS images caused by the magnitude and direction of the linear offset and highlight the need for an annular SORS collection geometry during imaging to neutralize these asymmetric effects. Additionally, building on these principles, the concept of "ratiometric SESORS imaging" is introduced for the location of buried inclusions in three dimensions. Together these principles are vital in developing a methodology for the location of surface-enhanced Raman scattering-active inclusions in three dimensions. This approach utilizes the relationship between the magnitude of the spatial offset, the probed depth, and ratiometric analysis of the NP and tissue Raman intensities to ultimately image and spatially discriminate between two distinct NP flavors buried at different depths within a 3D model for the first time. This research demonstrates how to accurately identify multiple objects at depth in tissue and their location using SESORS which addresses a key capability in moving SESORS closer to use in biomedical applications.
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Affiliation(s)
- Matthew
E. Berry
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.
| | - Samantha M. McCabe
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.
| | - Sian Sloan-Dennison
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.
| | - Stacey Laing
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.
| | - Neil C. Shand
- The
Defence Science and Technology Laboratory (Dstl), Porton Down, Salisbury SP4 0JQ, U.K.
| | - Duncan Graham
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.
| | - Karen Faulds
- Department
of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD, U.K.
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48
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Mellor RD, Uchegbu IF. Ultrasmall-in-Nano: Why Size Matters. NANOMATERIALS 2022; 12:nano12142476. [PMID: 35889699 PMCID: PMC9317835 DOI: 10.3390/nano12142476] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 01/06/2023]
Abstract
Gold nanoparticles (AuNPs) are continuing to gain popularity in the field of nanotechnology. New methods are continuously being developed to tune the particles’ physicochemical properties, resulting in control over their biological fate and applicability to in vivo diagnostics and therapy. This review focuses on the effects of varying particle size on optical properties, opsonization, cellular internalization, renal clearance, biodistribution, tumor accumulation, and toxicity. We review the common methods of synthesizing ultrasmall AuNPs, as well as the emerging constructs termed ultrasmall-in-nano—an approach which promises to provide the desirable properties from both ends of the AuNP size range. We review the various applications and outcomes of ultrasmall-in-nano constructs in vitro and in vivo.
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49
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Liu Z, Huang M, Zhu Q, Qin J, Kim MS. A packaged food internal Raman signal separation method based on spatially offset Raman spectroscopy combined with FastICA. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 275:121154. [PMID: 35306304 DOI: 10.1016/j.saa.2022.121154] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/03/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
Raman spectroscopy attempts to reflect food quality by characterizing molecular vibration and rotation. However, the blocking of optical signals by packaging materials and the interference of the optical signal generated by the packaging itself make the detection of internal food quality without destroying packaging highly difficult. In this regard, this paper proposes a novel packaged food internal signal separation based on spatially offset Raman spectroscopy (SORS) coupled with improved fast independent component analysis (FastICA). Firstly, the Raman scattering image of the packaged food with offset laser incident point was obtained. Then, the movable quadratic mean of information entropy was used to select the observation feature region of the image. Thirdly, the main independents decomposed by the optimized FastICA method were identified by spectral attenuation characteristics of the SORS peak signal. Finally, the non-negativity of the separated signal was ensured by baseline recognition and correction. The effectiveness of this method was verified by refactoring the similarity between the signal and the reference signal by testing three different packaging and four internal materials under standard experimental conditions. The applicability of the method was proved by the internal signal separation of three packaged foods on sale. The experimental results indicate that the proposed method can separate the Raman signal of packaged food and can be used as a pretreatment method and auxiliary analysis means for the detection of packaged food.
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Affiliation(s)
- Zhenfang Liu
- Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214122, China
| | - Min Huang
- Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214122, China.
| | - Qibing Zhu
- Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, 214122, China
| | - Jianwei Qin
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Bldg., 303, BARC-East, 10300 Baltimore Ave., MD 20705-2350, USA
| | - Moon S Kim
- USDA/ARS Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Bldg., 303, BARC-East, 10300 Baltimore Ave., MD 20705-2350, USA
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50
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Krishna R, Colak I. Advances in Biomedical Applications of Raman Microscopy and Data Processing: A Mini Review. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2094391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Ram Krishna
- Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Madanapalle, Andhra Pradesh, India
- Electrical and Electronics Engineering, Nisantasi University, Istanbul, Turkey
- Ohm Janki Biotech Research Private Limited, India
| | - Ilhami Colak
- Electrical and Electronics Engineering, Nisantasi University, Istanbul, Turkey
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