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Zhong Q, Shao L, Yao Y, Chen S, Lv X, Liu Z, Zhu S, Yan Z. Urine-based SERS and multivariate statistical analysis for identification of non-muscle-invasive bladder cancer and muscle-invasive bladder cancer. Anal Bioanal Chem 2024:10.1007/s00216-024-05595-0. [PMID: 39414645 DOI: 10.1007/s00216-024-05595-0] [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: 08/26/2024] [Revised: 10/01/2024] [Accepted: 10/04/2024] [Indexed: 10/18/2024]
Abstract
Bladder cancer (BC) is an epidemiological urologic malignancy that continues to increase each year. Early diagnosis and prognosis monitoring is always significant in clinical practice, especially in distinguishing non-muscle-invasive bladder cancer (NMIBC) from muscle-invasive bladder cancer (MIBC), due to the various depths of tumor invasion related to different therapeutic schedules and recurrence rates. Common diagnostic approaches are too invasive or generally inefficient in accuracy and specificity. In this work, a totally non-invasive and cost-effective method is established by investigating urine samples using surface-enhanced Raman spectroscopy (SERS) and multivariate statistical analysis. The comparison of urine SERS spectra shows the intensities of characteristic peaks for DNA/RNA, hypoxanthine, albumin, D-( +)-galactosamine, fatty acids, and some amino acids are distinguishable in BC occurrence and invasion progression. A PLS-LDA-based two-step binary classification scheme is performed on urine SERS spectra and the diagnostic accuracies were 97.7% and 96.3% for healthy individuals versus BC patients and NMIBC versus MIBC patients, respectively. Moreover, the impact of urine SERS spectral lengths in reaching high-precision recognition of BC is investigated. The results show that the Raman peaks at 803, 893, 1139, 1375, and 1466 cm-1 play an essential role in correctly categorizing healthy control, NMIBC, and MIBC patients, and SERS spectra ranges from 400 to 1600 cm-1 are enough for this identification task. These findings provide a sensitive, label-free, rapid, and totally non-invasive way for assessment of invasion depth of BC to its early diagnosis and prognosis monitoring, as well as valuable insights for selecting reasonable spectral range to enhance the measurement efficiency especially in large-scale sample datasets.
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Affiliation(s)
- Qingshan Zhong
- Research Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China
- School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, China
| | - Lei Shao
- Research Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Yudong Yao
- Research Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Shuo Chen
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China
| | - Xiuyi Lv
- Department of Urology, the First Affiliated Hospital of Ningbo University, Ningbo, 315211, China
| | - Zhihan Liu
- Health Science Center, Ningbo University, Ningbo, 315211, China
| | - Shanshan Zhu
- Research Institute of Medical and Biological Engineering, Ningbo University, Ningbo, 315211, China.
- Health Science Center, Ningbo University, Ningbo, 315211, China.
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350117, China.
| | - Zejun Yan
- Department of Urology, the First Affiliated Hospital of Ningbo University, Ningbo, 315211, China.
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2
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Cialla-May D, Bonifacio A, Bocklitz T, Markin A, Markina N, Fornasaro S, Dwivedi A, Dib T, Farnesi E, Liu C, Ghosh A, Popp J. Biomedical SERS - the current state and future trends. Chem Soc Rev 2024; 53:8957-8979. [PMID: 39109571 DOI: 10.1039/d4cs00090k] [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: 09/17/2024]
Abstract
Surface enhanced Raman spectroscopy (SERS) is meeting the requirements in biomedical science being a highly sensitive and specific analytical tool. By employing portable Raman systems in combination with customized sample pre-treatment, point-of-care-testing (POCT) becomes feasible. Powerful SERS-active sensing surfaces with high stability and modification layers if required are available for testing and application in complex biological matrices such as body fluids, cells or tissues. This review summarizes the current state in sample collection and pretreatment in SERS detection protocols, SERS detection schemes, i.e. direct and indirect SERS as well as targeted and non-targeted SERS, and SERS-active sensing surfaces. Moreover, the recent developments and advances of SERS in biomedical application scenarios, such as infectious diseases, cancer diagnostics and therapeutic drug monitoring is given, which enables the readers to identify the sample collection and preparation protocols, SERS substrates and detection strategies that are best-suited for their specific applications in biomedicine.
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Affiliation(s)
- Dana Cialla-May
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Alois Bonifacio
- Department of Engineering and Architecture, University of Trieste, Via Alfonso Valerio 6, 34127 Trieste (TS), Italy
| | - Thomas Bocklitz
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
- Faculty of Mathematics, Physics and Computer Science, University of Bayreuth (UBT), Nürnberger Straße 38, 95440 Bayreuth, Germany
| | - Alexey Markin
- Institute of Chemistry, Saratov State University, Astrakhanskaya Street 83, 410012 Saratov, Russia
| | - Natalia Markina
- Institute of Chemistry, Saratov State University, Astrakhanskaya Street 83, 410012 Saratov, Russia
| | - Stefano Fornasaro
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, Via Licio Giorgieri 1, 34127 Trieste (TS), Italy
| | - Aradhana Dwivedi
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Tony Dib
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Edoardo Farnesi
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Chen Liu
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Arna Ghosh
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
| | - Juergen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany.
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
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3
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Yang T, Zhou J, Wang Y, Fan B, Qiao J, Chen L, Wang X, Guo L, Yang H, Li Q. Magnetic Micromotors with Spiky Gold Nanoshells as SERS Sensors for Thiram and Bacteria Detection. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2405193. [PMID: 39252656 DOI: 10.1002/smll.202405193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 08/25/2024] [Indexed: 09/11/2024]
Abstract
Surface-enhanced Raman scattering (SERS) is widely used in all kinds of detection due to its ultrahigh sensitivity and selectivity. Micromotors, when used as SERS sensors, or the so-called "hotspots on the fly", can combine both controlled mobility and SERS sensing capacity, and are ideal for versatile in situ detection. In this work, mobile SERS sensors are successfully fabricated by growing gold nanospikes onto magnetic microsphere surfaces. These mobile micromotors can act as normal SERS sensors, characterized by the trace detection of thiram, a highly toxic fungicide. The detection limit can reach 0.1 nM, as good as most other noble metal deposited substrates. With significant magnetic gradient forces, separation of pathogenic bacteria from bulk solution is achieved once these magnetic micromotors bind with bacterial cells. Manipulated propulsion of micromotors, on the other hand, enables them to approach and contact pathogenic bacterial cells on command and further acquire Raman spectra under a controlled degree of contact, a capability never seen with passive sensors. The robotic SERS sensors have demonstrated unique sensing characteristics with controlled manipulations along with discriminative detection between bacterial species.
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Affiliation(s)
- Tao Yang
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Jianping Zhou
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Yongkang Wang
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Ben Fan
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Jing Qiao
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Lixiang Chen
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Xiaoyu Wang
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Lingxiang Guo
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Hong Yang
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Quan Li
- Institute of Advanced Materials and School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
- Materials Science Graduate Program, Kent State University, Kent, OH, 44242, USA
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4
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Youden B, Yang D, Carrier A, Oakes K, Servos M, Jiang R, Zhang X. Speciation Analysis of Metals and Metalloids by Surface Enhanced Raman Spectroscopy. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39250346 DOI: 10.1021/acs.est.4c06906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
The presence of metalloids and heavy metals in the environment is of critical concern due to their toxicological impacts. However, not all metallic species have the same risk level. Specifically, the physical, chemical, and isotopic speciation of the metal(loids) dictate their metabolism, toxicity, and environmental fate. As such, speciation analysis is critical for environmental monitoring and risk assessment. In the past two decades, surface-enhanced Raman spectroscopy (SERS) has seen significant developments regarding trace metal(loid) sensing due to its ultrahigh sensitivity, readiness for in situ real-time applications, and cost-effectiveness. However, the speciation of metal(loid)s has not been accounted for in the design and application of SERS sensors. In this Perspective, we examine the potential of SERS for metal(loid) speciation analysis and highlight the advantages, progress, opportunities, and challenges of this application.
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Affiliation(s)
- Brian Youden
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Dongchang Yang
- Department of Chemistry, Cape Breton University, Sydney, Nova Scotia B1P 6L2, Canada
| | - Andrew Carrier
- Department of Chemistry, Cape Breton University, Sydney, Nova Scotia B1P 6L2, Canada
| | - Ken Oakes
- Department of Biology, Cape Breton University, Sydney, Nova Scotia B1P 6L2, Canada
| | - Mark Servos
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Runqing Jiang
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
- Department of Medical Physics, Grand River Regional Cancer Centre, Kitchener, Ontario N2G 1G3, Canada
| | - Xu Zhang
- Department of Biology, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
- Department of Chemistry, Cape Breton University, Sydney, Nova Scotia B1P 6L2, Canada
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5
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Allegretto JA, Dostalek J. Metal-Organic Frameworks in Surface Enhanced Raman Spectroscopy-Based Analysis of Volatile Organic Compounds. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2401437. [PMID: 38868917 PMCID: PMC11321619 DOI: 10.1002/advs.202401437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 05/03/2024] [Indexed: 06/14/2024]
Abstract
Volatile Organic Compounds (VOC) are a major class of environmental pollutants hazardous to human health, but also highly relevant in other fields including early disease diagnostics and organoleptic perception of aliments. Therefore, accurate analysis of VOC is essential, and a need for new analytical methods is witnessed for rapid on-site detection without complex sample preparation. Surface-Enhanced Raman Spectroscopy (SERS) offers a rapidly developing versatile analytical platform for the portable detection of chemical species. Nonetheless, the need for efficient docking of target analytes at the metallic surface significantly narrows the applicability of SERS. This limitation can be circumvented by interfacing the sensor surface with Metal-Organic Frameworks (MOF). These materials featuring chemical and structural versatility can efficiently pre-concentrate low molecular weight species such as VOC through their ordered porous structure. This review presents recent trends in the development of MOF-based SERS substrates with a focus on elucidating respective design rules for maximizing analytical performance. An overview of the status of the detection of harmful VOC is discussed in the context of industrial and environmental monitoring. In addition, a survey of the analysis of VOC biomarkers for medical diagnosis and emerging applications in aroma and flavor profiling is included.
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Affiliation(s)
- Juan A. Allegretto
- Laboratory for Life Sciences and Technology (LiST), Department of Medicine, Faculty of Medicine and DentistryDanube Private UniversityKrems3500Austria
| | - Jakub Dostalek
- Laboratory for Life Sciences and Technology (LiST), Department of Medicine, Faculty of Medicine and DentistryDanube Private UniversityKrems3500Austria
- FZU‐Institute of PhysicsCzech Academy of SciencesNa Slovance 2Prague82021Czech Republic
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6
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Geng P, Guan M, Wang Y, Mi F, Zhang S, Rao X. A double boronic acid affinity "sandwich" SERS biosensor based on magnetic boronic acid controllable-oriented imprinting for high-affinity biomimetic specific recognition and rapid detection of target glycoproteins. Mikrochim Acta 2024; 191:444. [PMID: 38955823 DOI: 10.1007/s00604-024-06522-x] [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: 05/07/2024] [Accepted: 06/21/2024] [Indexed: 07/04/2024]
Abstract
Transferrin (TRF), recognized as a glycoprotein clinical biomarker and therapeutic target, has its concentration applicable for disease diagnosis and treatment monitoring. Consequently, this study developed boronic acid affinity magnetic surface molecularly imprinted polymers (B-MMIPs) with pH-responsitivity as the "capture probe" for TRF, which have high affinity similar to antibodies, with a dissociation constant of (3.82 ± 0.24) × 10-8 M, showing 7 times of reusability. The self-copolymerized imprinted layer synthesized with dopamine (DA) and 3-Aminophenylboronic acid (APBA) as double monomers avoided nonspecific binding sites and produced excellent adsorption properties. Taking the gold nanostar (AuNS) with a branch tip "hot spot" structure as the core, the silver-coated AuNS functionalized with the biorecognition element 4-mercaptophenylboronic acid (MPBA) was employed as a surface-enhanced Raman scattering (SERS) nanotag (AuNS@Ag-MPBA) to label TRF, thereby constructing a double boronic acid affinity "sandwich" SERS biosensor (B-MMIPs-TRF-SERS nanotag) for the highly sensitive detection of TRF. The SERS biosensor exhibited a detection limit for TRF of 0.004 ng/mL, and its application to spiked serum samples confirmed its reliability and feasibility, demonstrating significant potential for clinical TRF detection. Moreover, the SERS biosensor designed in this study offers advantages in stability, detection speed (40 min), and cost efficiency. The portable Raman instrument for SERS detection fulfills the requirements for point-of-care testing.
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Affiliation(s)
- Pengfei Geng
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Ming Guan
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China.
| | - Ying Wang
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Fang Mi
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Shan Zhang
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Xuehui Rao
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
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7
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Li J, Yu H, Zhao J, Qiao X, Chen X, Lu Z, Li Q, Lin H, Wu W, Zeng W, Yang Z, Feng Y. Metal-Organic Framework-Based Surface-Enhanced Raman Scattering Sensing Platform for Trace Malondialdehyde Detection in Tears. NANO LETTERS 2024; 24:7792-7799. [PMID: 38860501 DOI: 10.1021/acs.nanolett.4c01978] [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: 06/12/2024]
Abstract
Disease biomarkers in tears are crucial for clinical diagnosis and health monitoring. However, the limited volume of tear samples, low concentration of tear biomarkers, and complex tear composition present challenges for precise testing. We introduce a spot-on testing platform of metal-organic framework (MOF)-based surface-enhanced Raman scattering (SERS) capillary column, which is capable of target molecules selective separation and enrichment for tear biomarkers in situ detection. It consists of Au nanostars for effective SERS signal and a porous MOF shell for separating impurities through molecular sieving effect. This platform allows for simultaneous collection and detection of tear, capturing the disease biomarker malondialdehyde in tears with a 9.38 × 10-9 mol/L limit of detection. Moreover, we designed a hand-held device based on this tubular SERS sensor, successfully diagnosing patients with dry eye disease. This functional capillary column enables noninvasive and rapid diagnosis of biomarkers in biofluids, providing potential for disease diagnosis and healthcare monitoring.
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Affiliation(s)
- Jinming Li
- Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083, P. R. China
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Haozhe Yu
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Jianming Zhao
- Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083, P. R. China
| | - Xuezhi Qiao
- School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, P. R. China
| | - Xiangyu Chen
- Institute of Environmental Engineering, ETH Zürich, Zürich 8093, Switzerland
| | - Zhaoxiang Lu
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Qiaoyu Li
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Haimiao Lin
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Wenyu Wu
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Weizhen Zeng
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
| | - Zhou Yang
- Department of Materials Physics and Chemistry, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083, P. R. China
| | - Yun Feng
- Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, P. R. China
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8
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Miao Y, Wu L, Qiang J, Qi J, Li Y, Li R, Kong X, Zhang Q. The application of Raman spectroscopy for the diagnosis and monitoring of lung tumors. Front Bioeng Biotechnol 2024; 12:1385552. [PMID: 38699434 PMCID: PMC11063270 DOI: 10.3389/fbioe.2024.1385552] [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: 02/13/2024] [Accepted: 04/09/2024] [Indexed: 05/05/2024] Open
Abstract
Raman spectroscopy is an optical technique that uses inelastic light scattering in response to vibrating molecules to produce chemical fingerprints of tissues, cells, and biofluids. Raman spectroscopy strategies produce high levels of chemical specificity without requiring extensive sample preparation, allowing for the use of advanced optical tools such as microscopes, fiber optics, and lasers that operate in the visible and near-infrared spectral range, making them increasingly suitable for a wide range of medical diagnostic applications. Metal nanoparticles and nonlinear optical effects can improve Raman signals, and optimized fiber optic Raman probes can make real-time, in vivo, single-point observations. Furthermore, diagnostic speed and spatial accuracy can be improved through the multimodal integration of Raman measurements and other technologies. Recent studies have significantly contributed to the improvement of diagnostic speed and accuracy, making them suitable for clinical application. Lung cancer is a prevalent type of respiratory malignancy. However, the use of computed tomography for detection and screening frequently reveals numerous smaller lung nodules, which makes the diagnostic process more challenging from a clinical perspective. While the majority of small nodules detected are benign, there are currently no direct methods for identifying which nodules represent very early-stage lung cancer. Positron emission tomography and other auxiliary diagnostic methods for non-surgical biopsy samples from these small nodules yield low detection rates, which might result in significant expenses and the possibility of complications for patients. While certain subsets of patients can undergo curative treatment, other individuals have a less favorable prognosis and need alternative therapeutic interventions. With the emergence of new methods for treating cancer, such as immunotherapies, which can potentially extend patient survival and even lead to a complete cure in certain instances, it is crucial to determine the most suitable biomarkers and metrics for assessing the effectiveness of these novel compounds. This will ensure that significant treatment outcomes are accurately measured. This review provides a comprehensive overview of the prospects of Raman spectroscopy and its applications in the diagnosis and analysis of lung tumors.
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Affiliation(s)
| | | | | | | | | | | | | | - Qiang Zhang
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Geriatrics Institute, Tianjin, China
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9
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Frempong SB, Salbreiter M, Mostafapour S, Pistiki A, Bocklitz TW, Rösch P, Popp J. Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms. Molecules 2024; 29:1077. [PMID: 38474589 DOI: 10.3390/molecules29051077] [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: 12/19/2023] [Revised: 02/13/2024] [Accepted: 02/18/2024] [Indexed: 03/14/2024] Open
Abstract
Raman spectroscopy is an emerging method for the identification of bacteria. Nevertheless, a lot of different parameters need to be considered to establish a reliable database capable of identifying real-world samples such as medical or environmental probes. In this review, the establishment of such reliable databases with the proper design in microbiological Raman studies is demonstrated, shining a light into all the parts that require attention. Aspects such as the strain selection, sample preparation and isolation requirements, the phenotypic influence, measurement strategies, as well as the statistical approaches for discrimination of bacteria, are presented. Furthermore, the influence of these aspects on spectra quality, result accuracy, and read-out are discussed. The aim of this review is to serve as a guide for the design of microbiological Raman studies that can support the establishment of this method in different fields.
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Affiliation(s)
- Sandra Baaba Frempong
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Markus Salbreiter
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Sara Mostafapour
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
| | - Aikaterini Pistiki
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Thomas W Bocklitz
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
| | - Petra Rösch
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
| | - Jürgen Popp
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, Helmholtzweg 4, 07743 Jena, Germany
- InfectoGnostics Research Campus Jena, Center of Applied Research, Philosophenweg 7, 07743 Jena, Germany
- Leibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, Albert-Einstein-Str. 9, 07745 Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07743 Jena, Germany
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10
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Xiao Y, Luo S, Qiu J, Zhang Y, Liu W, Zhao Y, Zhu Y, Deng Y, Lu M, Liu S, Lin Y, Huang A, Wang W, Hu X, Gu B. Highly sensitive SERS platform for pathogen analysis by cyclic DNA nanostructure@AuNP tags and cascade primer exchange reaction. J Nanobiotechnology 2024; 22:75. [PMID: 38408974 PMCID: PMC10895721 DOI: 10.1186/s12951-024-02339-1] [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: 11/03/2023] [Accepted: 02/09/2024] [Indexed: 02/28/2024] Open
Abstract
The capacity to identify small amounts of pathogens in real samples is extremely useful. Herein, we proposed a sensitive platform for detecting pathogens using cyclic DNA nanostructure@AuNP tags (CDNA) and a cascade primer exchange reaction (cPER). This platform employs wheat germ agglutinin-modified Fe3O4@Au magnetic nanoparticles (WMRs) to bind the E. coli O157:H7, and then triggers the cPER to generate branched DNA products for CDNA tag hybridization with high stability and amplified SERS signals. It can identify target pathogens as low as 1.91 CFU/mL and discriminate E. coli O157:H7 in complex samples such as water, milk, and serum, demonstrating comparable or greater sensitivity and accuracy than traditional qPCR. Moreover, the developed platform can detect low levels of E. coli O157:H7 in mouse serum, allowing the discrimination of mice with early-stage infection. Thus, this platform holds promise for food analysis and early infection diagnosis.
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Affiliation(s)
- Yunju Xiao
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Shihua Luo
- Center for Clinical Laboratory Diagnosis and Research, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
- Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi of Guangxi Higher Education Institutions, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China
| | - Jiuxiang Qiu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
- Department of Laboratory Medicine, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510515, People's Republic of China
| | - Ye Zhang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Weijiang Liu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Yunhu Zhao
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - YiTong Zhu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Yangxi Deng
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Mengdi Lu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Suling Liu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Yong Lin
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Aiwei Huang
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China
| | - Wen Wang
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
| | - Xuejiao Hu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
| | - Bing Gu
- Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
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11
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Wang Y, Fang L, Wang Y, Xiong Z. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2300668. [PMID: 38072672 PMCID: PMC10870035 DOI: 10.1002/advs.202300668] [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: 01/30/2023] [Revised: 09/08/2023] [Indexed: 02/17/2024]
Abstract
Early clinical diagnosis, effective intraoperative guidance, and an accurate prognosis can lead to timely and effective medical treatment. The current conventional clinical methods have several limitations. Therefore, there is a need to develop faster and more reliable clinical detection, treatment, and monitoring methods to enhance their clinical applications. Raman spectroscopy is noninvasive and provides highly specific information about the molecular structure and biochemical composition of analytes in a rapid and accurate manner. It has a wide range of applications in biomedicine, materials, and clinical settings. This review primarily focuses on the application of Raman spectroscopy in clinical medicine. The advantages and limitations of Raman spectroscopy over traditional clinical methods are discussed. In addition, the advantages of combining Raman spectroscopy with machine learning, nanoparticles, and probes are demonstrated, thereby extending its applicability to different clinical phases. Examples of the clinical applications of Raman spectroscopy over the last 3 years are also integrated. Finally, various prospective approaches based on Raman spectroscopy in clinical studies are surveyed, and current challenges are discussed.
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Affiliation(s)
- Yumei Wang
- Department of NephrologyUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Liuru Fang
- Hubei Province Key Laboratory of Systems Science in Metallurgical ProcessWuhan University of Science and TechnologyWuhan430081China
| | - Yuhua Wang
- Hubei Province Key Laboratory of Systems Science in Metallurgical ProcessWuhan University of Science and TechnologyWuhan430081China
| | - Zuzhao Xiong
- Hubei Province Key Laboratory of Systems Science in Metallurgical ProcessWuhan University of Science and TechnologyWuhan430081China
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12
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Yu Q, Wu T, Tian B, Li J, Liu Y, Wu Z, Jin X, Wang C, Wang C, Gu B. Recent advances in SERS-based immunochromatographic assay for pathogenic microorganism diagnosis: A review. Anal Chim Acta 2024; 1286:341931. [PMID: 38049231 DOI: 10.1016/j.aca.2023.341931] [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: 07/27/2023] [Revised: 10/02/2023] [Accepted: 10/17/2023] [Indexed: 12/06/2023]
Abstract
Infectious diseases caused by bacteria, viruses, fungi, and other pathogenic microorganisms are among the most harmful public health problems in the world, causing tens of millions of deaths and incalculable economic losses every year. The establishment of rapid, simple, and highly sensitive diagnostic methods for pathogenic microorganisms is important for the prevention and control of infectious diseases, guidance of timely treatment, and the reduction of public safety risks. Lateral flow immunoassay (LFA) based on the colorimetric signal of colloidal gold is the most popular point-of-care testing technology at present, but it is limited by poor sensitivity and low throughput and hardly meets the needs of the highly sensitive screening of pathogenic microorganisms. In recent years, the combination of surface-enhanced Raman scattering (SERS) and LFA technology has developed into a novel analytical platform with high sensitivity and multiple detection capabilities and has shown great advantages in the detection of pathogenic microorganisms and infectious diseases. This review summarizes the working principle, design ideas, and application of the existing SERS-based LFA methods in pathogenic microorganism detection and further introduces the effect of new technologies such as Raman signal encoding, magnetic enrichment, novel membrane nanotags, and integrated Raman reading equipment on the performance of SERS-LFA. Finally, the main challenges and the future direction of development in this field of SERS-LFA are discussed.
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Affiliation(s)
- Qing Yu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Ting Wu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Benshun Tian
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Jiaxuan Li
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Yun Liu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China
| | - Zelan Wu
- Guangzhou Labway Clinical Laboratory Co., Ltd, Guangdong, 510000, China
| | - Xiong Jin
- Guangzhou Labway Clinical Laboratory Co., Ltd, Guangdong, 510000, China
| | - Chaoguang Wang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China.
| | - Chongwen Wang
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China; College of Life Sciences, Anhui Agricultural University, Hefei, 230036, China.
| | - Bing Gu
- Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, 510000, China.
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Liu C, Jiménez-Avalos G, Zhang WS, Sheen P, Zimic M, Popp J, Cialla-May D. Prussian blue (PB) modified gold nanoparticles as a SERS-based sensing platform for capturing and detection of pyrazinoic acid (POA). Talanta 2024; 266:125038. [PMID: 37574604 DOI: 10.1016/j.talanta.2023.125038] [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: 04/18/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/15/2023]
Abstract
Pyrazinoic acid (POA) is a metabolite of the anti-tuberculosis drug pyrazinamide (PZA), and its detection can be used to assess the resistance of Mycobacterium tuberculosis in cultures, as only sensitive strains of the bacteria can metabolize PZA into POA. Prussian blue is a well-known metal-organic framework compound widely used in various sensing platforms such as electrochemical, photochemical, and magnetic sensors. In this study, we present a novel sensing platform based on Prussian blue-modified gold nanoparticles (AuNPs) designed to enhance the affinity of POA towards the sensing surface and to capture POA molecules from aqueous solutions. This SERS-based method allows for the selective enrichment of POA, which can be detected in both pure aqueous solution and in the presence of its pro-drug PZA. The limit of detection (LOD) for POA was estimated to be 1.08 μM in pure aqueous solution and 0.18 mM in the presence of PZA. Furthermore, the precision of the SERS method was verified by the relative standard deviation (RSD) of 3.34-12.02% for three parallel samples using different matrices, i.e. aqueous solution, spiked river water and spiked simulated saliva. The recoveries of the samples ranged from 92.65 to 118.51%. These all demonstrate the potential application of the proposed detection scheme in medical research.
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Affiliation(s)
- Chen Liu
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany; Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany
| | - Gabriel Jiménez-Avalos
- Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Wen-Shu Zhang
- China Fire and Rescue Institute, Beijing, 102202, China
| | - Patricia Sheen
- Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Mirko Zimic
- Laboratorio de Bioinformática, Biología Molecular y Desarrollos Tecnológicos, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany; Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany
| | - Dana Cialla-May
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany; Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany.
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14
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Akdeniz M, Al-Shaebi Z, Altunbek M, Bayraktar C, Kayabolen A, Bagci-Onder T, Aydin O. Characterization and discrimination of spike protein in SARS-CoV-2 virus-like particles via surface-enhanced Raman spectroscopy. Biotechnol J 2024; 19:e2300191. [PMID: 37750467 DOI: 10.1002/biot.202300191] [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: 04/30/2023] [Revised: 09/11/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023]
Abstract
Non-infectious virus-like particles (VLPs) are excellent structures for development of many biomedical applications such as drug delivery systems, vaccine production platforms, and detection techniques for infectious diseases including SARS-CoV-2 VLPs. The characterization of biochemical and biophysical properties of purified VLPs is crucial for development of detection methods and therapeutics. The presence of spike (S) protein in their structure is especially important since S protein induces immunological response. In this study, development of a rapid, low-cost, and easy-to-use technique for both characterization and detection of S protein in the two VLPs, which are SARS-CoV-2 VLPs and HIV-based VLPs was achieved using surface-enhanced Raman spectroscopy (SERS). To analyze and classify datasets of SERS spectra obtained from the VLP groups, machine learning classification techniques including support vector machine (SVM), k-nearest neighbors (kNN), and random forest (RF) were utilized. Among them, the SVM classification algorithm demonstrated the best classification performance for SARS-CoV-2 VLPs and HIV-based VLPs groups with 87.5% and 92.5% accuracy, respectively. This study could be valuable for the rapid characterization of VLPs for the development of novel therapeutics or detection of structural proteins of viruses leading to a variety of infectious diseases.
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Affiliation(s)
- Munevver Akdeniz
- Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey
- Nanothera Lab, Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Turkey
| | - Zakarya Al-Shaebi
- Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey
- Nanothera Lab, Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Turkey
| | - Mine Altunbek
- Department of Chemical Engineering, University of Massachusetts, Lowell, Massachusetts, USA
| | - Canan Bayraktar
- Koç University Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Alisan Kayabolen
- Koç University Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
- McGovern Institute for Brain Research at MIT, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Tugba Bagci-Onder
- Koç University Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Omer Aydin
- Department of Biomedical Engineering, Erciyes University, Kayseri, Turkey
- Nanothera Lab, Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Turkey
- Clinical Engineering Research and Implementation Center (ERKAM), Erciyes University, Kayseri, Turkey
- Nanotechnology Research and Application Center (ERNAM), Erciyes University, Kayseri, Turkey
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15
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Nie C, Shaw I, Chen C. Application of microfluidic technology based on surface-enhanced Raman scattering in cancer biomarker detection: A review. J Pharm Anal 2023; 13:1429-1451. [PMID: 38223444 PMCID: PMC10785256 DOI: 10.1016/j.jpha.2023.08.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 08/02/2023] [Accepted: 08/10/2023] [Indexed: 01/16/2024] Open
Abstract
With the continuous discovery and research of predictive cancer-related biomarkers, liquid biopsy shows great potential in cancer diagnosis. Surface-enhanced Raman scattering (SERS) and microfluidic technology have received much attention among the various cancer biomarker detection methods. The former has ultrahigh detection sensitivity and can provide a unique fingerprint. In contrast, the latter has the characteristics of miniaturization and integration, which can realize accurate control of the detection samples and high-throughput detection through design. Both have the potential for point-of-care testing (POCT), and their combination (lab-on-a-chip SERS (LoC-SERS)) shows good compatibility. In this paper, the basic situation of circulating proteins, circulating tumor cells, exosomes, circulating tumor DNA (ctDNA), and microRNA (miRNA) in the diagnosis of various cancers is reviewed, and the detection research of these biomarkers by the LoC-SERS platform in recent years is described in detail. At the same time, the challenges and future development of the platform are discussed at the end of the review. Summarizing the current technology is expected to provide a reference for scholars engaged in related work and interested in this field.
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Affiliation(s)
- Changhong Nie
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, China
| | - Ibrahim Shaw
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, China
| | - Chuanpin Chen
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, China
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16
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Payne TD, Klawa SJ, Jian T, Wang Q, Kim SH, Freeman R, Schultz ZD. From the lab to the field: handheld surface enhanced Raman spectroscopy (SERS) detection of viral proteins. SENSORS & DIAGNOSTICS 2023; 2:1483-1491. [PMID: 38013762 PMCID: PMC10633093 DOI: 10.1039/d3sd00111c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/28/2023] [Indexed: 11/29/2023]
Abstract
Translating sensors from the lab benchtop to a readily available point-of-need setting is desirable for many fields, including medicine, agriculture, and industry. However, this transition generally suffers from loss of sensitivity, high background signals, and other issues which can impair reproducibility. Here we adapt a label-free surface-enhanced Raman spectroscopy (SERS) sensor for SARS-CoV-2 antigens from a lab-based assay to a handheld device. Utilizing a peptide capture molecule, which we previously employed for a surface-based assay, we optimize a simpler and more cost-efficient nanoparticle-based assay. This new assay allows for the direct detection of these viral antigens by SERS, now with the advantages of robustness and portability. We highlight considerations for nanoparticle modification conditions and warn against methods which can interfere with accurate detection. The comparison of these two assays will help guide further development of SERS-based sensors into devices that can be easily used in point-of-care settings, such as by emergency room nurses, farmers, or quality control technicians.
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Affiliation(s)
- Taylor D Payne
- Department of Chemistry and Biochemistry, The Ohio State University Columbus Ohio 43210 USA
| | - Stephen J Klawa
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Tengyue Jian
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Qunzhao Wang
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Sang Hoon Kim
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Ronit Freeman
- Department of Applied Physical Sciences, University of North Carolina Chapel Hill North Carolina 27599 USA
| | - Zachary D Schultz
- Department of Chemistry and Biochemistry, The Ohio State University Columbus Ohio 43210 USA
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17
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Farnesi E, Rinaldi S, Liu C, Ballmaier J, Guntinas-Lichius O, Schmitt M, Cialla-May D, Popp J. Label-Free SERS and MD Analysis of Biomarkers for Rapid Point-of-Care Sensors Detecting Head and Neck Cancer and Infections. SENSORS (BASEL, SWITZERLAND) 2023; 23:8915. [PMID: 37960614 PMCID: PMC10648186 DOI: 10.3390/s23218915] [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: 09/01/2023] [Revised: 10/05/2023] [Accepted: 10/17/2023] [Indexed: 11/15/2023]
Abstract
For the progress of point-of-care medicine, where individual health status can be easily and quickly monitored using a handheld sensor, saliva serves as one of the best-suited body fluids thanks to its availability and abundance of physiological indicators. Salivary biomarkers, combined with rapid and highly sensitive detection tools, may pave the way to new real-time health monitoring and personalized preventative therapy branches using saliva as a target matrix. Saliva is increasing in importance in liquid biopsy, a non-invasive approach that helps physicians diagnose and characterize specific diseases in patients. Here, we propose a proof-of-concept study combining the unique specificity in biomolecular recognition provided by surface-enhanced Raman spectroscopy (SERS) in combination with molecular dynamics (MD) simulations, which give leave to explore the biomolecular absorption mechanism on nanoparticle surfaces, in order to verify the traceability of two validated salivary indicators, i.e., interleukin-8 (IL-8) and lysozyme (LYZ), implicated in oropharyngeal squamous cell carcinoma (OSCC) and oral infection. This strategy simultaneously assures the detection and interpretation of protein biomarkers in saliva, ultimately opening a new route for the evolution of fast and accurate point-of-care SERS-based sensors of interest in precision medicine diagnostics.
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Affiliation(s)
- Edoardo Farnesi
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (E.F.); (C.L.); (M.S.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Silvia Rinaldi
- Institute for the Chemistry of Organo Metallic Compounds, National Research Council of Italy (CNR), Via Madonna del Piano 10, Sesto Fiorentino, 50019 Florence, Italy;
| | - Chen Liu
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (E.F.); (C.L.); (M.S.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Jonas Ballmaier
- Department of Otorhinolaryngology-Head and Neck Surgery, Jena University Hospital, 07747 Jena, Germany; (J.B.); (O.G.-L.)
| | - Orlando Guntinas-Lichius
- Department of Otorhinolaryngology-Head and Neck Surgery, Jena University Hospital, 07747 Jena, Germany; (J.B.); (O.G.-L.)
| | - Michael Schmitt
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (E.F.); (C.L.); (M.S.); (J.P.)
| | - Dana Cialla-May
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (E.F.); (C.L.); (M.S.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
| | - Juergen Popp
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany; (E.F.); (C.L.); (M.S.); (J.P.)
- Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
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18
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Dai C, Wang K, Tan M, Hua Z, Xia L, Qin L. A LoC-SERS platform based on triple signal amplification for highly sensitive detection of colorectal cancer miRNAs. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4194-4203. [PMID: 37584160 DOI: 10.1039/d3ay01006f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2023]
Abstract
In this work, based on a dual signal amplification strategy of enzyme-assisted signal amplification (EASA) and catalytic hairpin assembly (CHA), combined with the magnetic attraction effect, a capillary pump-driven surface-enhanced Raman scattering (SERS) microfluidic chip (LoC-SERS) platform was developed for the sensitive detection of colorectal cancer-associated (CRC) microRNA (miRNA). During the detection process, the miRNA first undergoes an EASA reaction with hairpin DNA1 (hpDNA1) under the action of endonuclease, which generates a large amount of DNA2 cyclically. After that, DNA2 triggers the CHA reaction to proceed, which leads to the ligation of the SERS nanoprobes and the capture nanoprobes (hpDNA2-hpDNA3 complexes). Finally, as the reactant solution flows through the collection zone, the end products are magnetically attracted by the micro-magnets, generating many "hot spots" and leading to a triple amplification of the SERS signal. By quantitative analysis, the platform achieved ultra-low detection limits of miR-122 (4.26 aM) and miR-192 (4.71 aM) within a linear range of 10 aM-10 pM. In addition, the platform's results for clinical samples are highly consistent with those measured by qRT-PCR methods. Overall, the proposed LoC-SERS platform is expected to be an important tool for the early screening of CRC.
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Affiliation(s)
- Chun Dai
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
- Department of General Surgery, The People's Hospital of Yangzhong City, Yangzhong, Jiangsu, China
| | - Kun Wang
- Department of General Surgery, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China
| | - Ming Tan
- Department of General Surgery, The People's Hospital of Yangzhong City, Yangzhong, Jiangsu, China
| | - Zhaolai Hua
- Department of General Surgery, The People's Hospital of Yangzhong City, Yangzhong, Jiangsu, China
| | - Lin Xia
- Department of General Surgery, The People's Hospital of Yangzhong City, Yangzhong, Jiangsu, China
| | - Lei Qin
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
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19
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Villa NS, Picarelli C, Iacoe F, Zanchi CG, Ossi PM, Lucotti A, Tommasini M. Investigating Perampanel Antiepileptic Drug by DFT Calculations and SERS with Custom Spinning Cell. Molecules 2023; 28:5968. [PMID: 37630222 PMCID: PMC10459216 DOI: 10.3390/molecules28165968] [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: 07/01/2023] [Revised: 07/21/2023] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
SERS, a clinical practice where medical doctors can monitor the drug concentration in biological fluids, has been proposed as a viable approach to therapeutic drug monitoring (TDM) of the antiepileptic drug Perampanel. The adoption of an acidic environment during the SERS experiments was found to be effective in enhancing the spectroscopic signal. In this work, we combine SERS experiments, conducted with a custom spinning cell in controlled acidic conditions, with DFT calculations aimed at investigating the possible protonated forms of Perampanel. The DFT-simulated Raman spectra of protonated Perampanel accounts for most of the observed SERS signals, thus explaining the effective role of protonation of the analyte. Our results suggest protonation as a viable approach to fostering SERS of alkaline drugs.
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Affiliation(s)
- Nicolò Simone Villa
- Department of Chemistry, Materials, and Chemical Engineering “G. Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; (N.S.V.); (C.P.); (C.G.Z.); (A.L.)
| | - Chiara Picarelli
- Department of Chemistry, Materials, and Chemical Engineering “G. Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; (N.S.V.); (C.P.); (C.G.Z.); (A.L.)
| | - Federica Iacoe
- Department of Chemistry, Materials, and Chemical Engineering “G. Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; (N.S.V.); (C.P.); (C.G.Z.); (A.L.)
| | - Chiara Giuseppina Zanchi
- Department of Chemistry, Materials, and Chemical Engineering “G. Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; (N.S.V.); (C.P.); (C.G.Z.); (A.L.)
| | - Paolo M. Ossi
- Department of Energy, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy;
| | - Andrea Lucotti
- Department of Chemistry, Materials, and Chemical Engineering “G. Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; (N.S.V.); (C.P.); (C.G.Z.); (A.L.)
| | - Matteo Tommasini
- Department of Chemistry, Materials, and Chemical Engineering “G. Natta”, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy; (N.S.V.); (C.P.); (C.G.Z.); (A.L.)
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20
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Huang L, Zhang Z. Recent Advances in the DNA-Mediated Multi-Mode Analytical Methods for Biological Samples. BIOSENSORS 2023; 13:693. [PMID: 37504092 PMCID: PMC10377368 DOI: 10.3390/bios13070693] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/14/2023] [Accepted: 06/27/2023] [Indexed: 07/29/2023]
Abstract
DNA-mediated nanotechnology has become a research hot spot in recent decades and is widely used in the field of biosensing analysis due to its distinctive properties of precise programmability, easy synthesis and high stability. Multi-mode analytical methods can provide sensitive, accurate and complementary analytical information by merging two or more detection techniques with higher analytical throughput and efficiency. Currently, the development of DNA-mediated multi-mode analytical methods by integrating DNA-mediated nanotechnology with multi-mode analytical methods has been proved to be an effective assay for greatly enhancing the selectivity, sensitivity and accuracy, as well as detection throughput, for complex biological analysis. In this paper, the recent progress in the preparation of typical DNA-mediated multi-mode probes is reviewed from the aspect of deoxyribozyme, aptamer, templated-DNA and G-quadruplex-mediated strategies. Then, the advances in DNA-mediated multi-mode analytical methods for biological samples are summarized in detail. Moreover, the corresponding current applications for biomarker analysis, bioimaging analysis and biological monitoring are introduced. Finally, a proper summary is given and future prospective trends are discussed, hopefully providing useful information to the readers in this research field.
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Affiliation(s)
- Lu Huang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhuomin Zhang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
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21
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Ilyas A, Dyussupova A, Sultangaziyev A, Shevchenko Y, Filchakova O, Bukasov R. SERS immuno- and apta-assays in biosensing/bio-detection: Performance comparison, clinical applications, challenges. Talanta 2023; 265:124818. [PMID: 37453393 DOI: 10.1016/j.talanta.2023.124818] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 06/09/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023]
Abstract
Surface Enhanced Raman Spectroscopy is increasingly used as a sensitive bioanalytical tool for detection of variety of analytes ranging from viruses and bacteria to cancer biomarkers and toxins, etc. This comprehensive review describes principles of operation and compares the performance of immunoassays and aptamer assays with Surface Enhanced Raman scattering (SERS) detection to each other and to some other bioassay methods, including ELISA and fluorescence assays. Both immuno- and aptamer-based assays are categorized into assay on solid substrates, assays with magnetic nanoparticles and assays in laminar flow or/and strip assays. The best performing and recent examples of assays in each category are described in the text and illustrated in the figures. The average performance, particularly, limit of detection (LOD) for each of those methods reflected in 9 tables of the manuscript and average LODs are calculated and compared. We found out that, on average, there is some advantage in terms of LOD for SERS immunoassays (0.5 pM median LOD of 88 papers) vs SERS aptamer-based assays (1.7 pM median LOD of 51 papers). We also tabulated and analyzed the clinical performance of SERS immune and aptamer assays, where selectivity, specificity, and accuracy are reported, we summarized the best examples. We also reviewed challenges to SERS bioassay performance and real-life application, including non-specific protein binding, nanoparticle aggregation, limited nanotag stability, sometimes, relatively long time to results, etc. The proposed solutions to those challenges are also discussed in the review. Overall, this review may be interesting not only to bioanalytical chemist, but to medical and life science researchers who are interested in improvement of bioanalyte detection and diagnostics.
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Affiliation(s)
- Aisha Ilyas
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan
| | | | | | - Yegor Shevchenko
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan
| | - Olena Filchakova
- Department of Biology, SSH, Nazarbayev University, Astana, Kazakhstan
| | - Rostislav Bukasov
- Department of Chemistry, SSH, Nazarbayev University, Astana, Kazakhstan.
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22
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Colniță A, Toma VA, Brezeștean IA, Tahir MA, Dina NE. A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases. BIOSENSORS 2023; 13:bios13050499. [PMID: 37232860 DOI: 10.3390/bios13050499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/15/2023] [Accepted: 04/20/2023] [Indexed: 05/27/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS) applications in clinical diagnosis and spectral pathology are increasing due to the potential of the technique to bio-barcode incipient and differential diseases via real-time monitoring of biomarkers in fluids and in real-time via biomolecular fingerprinting. Additionally, the rapid advancements in micro/nanotechnology have a visible influence in all aspects of science and life. The miniaturization and enhanced properties of materials at the micro/nanoscale transcended the confines of the laboratory and are revolutionizing domains such as electronics, optics, medicine, and environmental science. The societal and technological impact of SERS biosensing by using semiconductor-based nanostructured smart substrates will be huge once minor technical pitfalls are solved. Herein, challenges in clinical routine testing are addressed in order to understand the context of how SERS can perform in real, in vivo sampling and bioassays for early neurodegenerative disease (ND) diagnosis. The main interest in translating SERS into clinical practice is reinforced by the practical advantages: portability of the designed setups, versatility in using nanomaterials of various matter and costs, readiness, and reliability. As we will present in this review, in the frame of technology readiness levels (TRL), the current maturity reached by semiconductor-based SERS biosensors, in particular that of zinc oxide (ZnO)-based hybrid SERS substrates, is situated at the development level TRL 6 (out of 9 levels). Three-dimensional, multilayered SERS substrates that provide additional plasmonic hot spots in the z-axis are of key importance in designing highly performant SERS biosensors for the detection of ND biomarkers.
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Affiliation(s)
- Alia Colniță
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Vlad-Alexandru Toma
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
- Department of Molecular Biology and Biotechnology, Faculty of Biology and Geology, Babeș-Bolyai University, 5-7 Clinicilor, 400006 Cluj-Napoca, Romania
- Institute of Biological Research, Department of Biochemistry and Experimental Biology, 48 Republicii, Branch of NIRDBS Bucharest, 400015 Cluj-Napoca, Romania
| | - Ioana Andreea Brezeștean
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
| | - Muhammad Ali Tahir
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
| | - Nicoleta Elena Dina
- Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania
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23
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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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24
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Tian F, de Carvalho LFDCES, Casey A, Nogueira MS, Byrne HJ. Surface-Enhanced Raman Analysis of Uric Acid and Hypoxanthine Analysis in Fractionated Bodily Fluids. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:1216. [PMID: 37049309 PMCID: PMC10097234 DOI: 10.3390/nano13071216] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
In recent years, the disease burden of hyperuricemia has been increasing, especially in high-income countries and the economically developing world with a Western lifestyle. Abnormal levels of uric acid and hypoxanthine are associated with many diseases, and therefore, to demonstrate improved methods of uric acid and hypoxanthine detection, three different bodily fluids were analysed using surface-enhanced Raman spectroscopy (SERS) and high-performance liquid chromatography (HPLC). Gold nanostar suspensions were mixed with series dilutions of uric acid and hypoxanthine, 3 kDa centrifugally filtered human blood serum, urine and saliva. The results show that gold nanostars enable the quantitative detection of the concentration of uric acid and hypoxanthine in the range 5-50 μg/mL and 50-250 ng/mL, respectively. The peak areas of HPLC and maximum peak intensity of SERS have strongly correlated, notably with the peaks of uric acid and hypoxanthine at 1000 and 640 cm-1, respectively. The r2 is 0.975 and 0.959 for uric acid and hypoxanthine, respectively. Each of the three body fluids has a number of spectral features in common with uric acid and hypoxanthine. The large overlap of the spectral bands of the SERS of uric acid against three body fluids at spectra peaks were at 442, 712, 802, 1000, 1086, 1206, 1343, 1436 and 1560 cm-1. The features at 560, 640, 803, 1206, 1290 and 1620 cm-1 from hypoxanthine were common to serum, saliva and urine. There is no statistical difference between HPLC and SERS for determination of the concentration of uric acid and hypoxanthine (p > 0.05). For clinical applications, 3 kDa centrifugal filtration followed by SERS can be used for uric acid and hypoxanthine screening is, which can be used to reveal the subtle abnormalities enhancing the great potential of vibrational spectroscopy as an analytical tool. Our work supports the hypnosis that it is possible to obtain the specific concentration of uric acid and hypoxanthine by comparing the SER signals of serum, saliva and urine. In the future, the analysis of other biofluids can be employed to detect biomarkers for the diagnosis of systemic pathologies.
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Affiliation(s)
- Furong Tian
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
| | - Luis Felipe das Chagas e Silva de Carvalho
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
- Centro Universitario Braz Cubas, Mogi das Cruzes 08773-380, Brazil
- Universidade de Taubate, Taubate 12080-000, Brazil
| | - Alan Casey
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
| | - Marcelo Saito Nogueira
- Tyndall National Institute, Lee Maltings Complex, Dyke Parade, T12R5CP Cork, Ireland;
- Department of Physics, University College Cork, College Road, T12K8AF Cork, Ireland
| | - Hugh J. Byrne
- FOCAS Research Institute, Technological University Dublin Camden Row, D08CKP1 Dublin, Ireland; (A.C.)
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25
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Lin HY, Chen WR, Lu LC, Chen HL, Chen YH, Pan M, Chen CC, Chen C, Yen TH, Wan D. Direct Thermal Growth of Gold Nanopearls on 3D Interweaved Hydrophobic Fibers as Ultrasensitive Portable SERS Substrates for Clinical Applications. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023:e2207404. [PMID: 36974592 DOI: 10.1002/smll.202207404] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Surface-enhanced Raman spectroscopy (SERS)-based biosensors have attracted much attention for their label-free detection, ultrahigh sensitivity, and unique molecular fingerprinting. In this study, a wafer-scale, ultrasensitive, highly uniform, paper-based, portable SERS detection platform featuring abundant and dense gold nanopearls with narrow gap distances, are prepared and deposited directly onto ultralow-surface-energy fluorosilane-modified cellulose fibers through simple thermal evaporation by delicately manipulating the atom diffusion behavior. The as-designed paper-based SERS substrate exhibits an extremely high Raman enhancement factor (3.9 × 1011 ), detectability at sub-femtomolar concentrations (single-molecule level) and great signal reproductivity (relative standard deviation: 3.97%), even when operated with a portable 785-nm Raman spectrometer. This system is used for fingerprinting identification of 12 diverse analytes, including clinical medicines (cefazolin, chloramphenicol, levetiracetam, nicotine), pesticides (thiram, paraquat, carbaryl, chlorpyrifos), environmental carcinogens (benzo[a]pyrene, benzo[g,h,i]perylene), and illegal drugs (methamphetamine, mephedrone). The lowest detection concentrations reach the sub-ppb level, highlighted by a low of 16.2 ppq for nicotine. This system appears suitable for clinical applications in, for example, i) therapeutic drug monitoring for individualized medication adjustment and ii) ultra-early diagnosis for pesticide intoxication. Accordingly, such scalable, portable and ultrasensitive fibrous SERS substrates open up new opportunities for practical on-site detection in biofluid analysis, point-of-care diagnostics and precision medicine.
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Affiliation(s)
- Hsin-Yao Lin
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Institute of Nanoengineering and Microsystems, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Division of Neurosurgery, Department of Surgery, MacKay Memorial Hospital, 10449, Taipei, Taiwan
| | - Wan-Ru Chen
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Li-Chia Lu
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Hsuen-Li Chen
- Department of Materials Science and Engineering and Center of Atomic Initiative for New Materials (AI-MAT), National Taiwan University, Taipei, 10617, Taiwan
| | - Yu-Hsuan Chen
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Michael Pan
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Institute of Nanoengineering and Microsystems, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Chi-Chia Chen
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Chihchen Chen
- Institute of Nanoengineering and Microsystems, National Tsing Hua University, Hsinchu, 30010, Taiwan
- Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, 30010, Taiwan
| | - Tzung-Hai Yen
- Division of Neurosurgery, Department of Surgery, MacKay Memorial Hospital, 10449, Taipei, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 33378, Taiwan
| | - Dehui Wan
- Institute of Biomedical Engineering and Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University, Hsinchu, 30010, Taiwan
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26
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Mo W, Ke Q, Zhou M, Xie G, Huang J, Gao F, Ni S, Yang X, Qi D, Wang A, Wen J, Yang Y, Jing M, Du K, Wang X, Du X, Zhao Z. Combined Morphological and Spectroscopic Diagnostic of HER2 Expression in Breast Cancer Tissues Based on Label-Free Surface-Enhanced Raman Scattering. Anal Chem 2023; 95:3019-3027. [PMID: 36706440 DOI: 10.1021/acs.analchem.2c05067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Breast cancer is the most commonly diagnosed cancer type worldwide. Overexpression of human epidermal growth factor receptor 2 (HER2) is an important subtype of breast cancer and results in an increased risk of recurrence and metastasis in patients. At present, immunohistochemistry (IHC) is used to detect the expression of HER2 in breast cancer tissues as the golden standard. However, IHC has some shortcomings, such as large subjective impact, long time consumption, expensive reagents, etc. In this paper, a combined morphological and spectroscopic diagnostic method based on label-free surface-enhanced Raman scattering (SERS) for HER2 expression in breast cancer is proposed. It can not only quantitively detect HER2 expression in breast cancer tissues by spectroscopic measurements but also give morphological images reflecting the distribution of HER2 in tissues. The results show that the consistency between this method and IHC is 95% and achieves the annotation of tumor regions on tissue sections. This method is time-consuming, quantifiable, intuitive, scalable, and easy to understand. Combined with deep learning approaches, it is expected to promote the development of clinical detection and diagnosis technology for breast cancer and other cancers.
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Affiliation(s)
- Wenbo Mo
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China.,Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Qi Ke
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Minjie Zhou
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Gang Xie
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Jinglin Huang
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Feng Gao
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Shuang Ni
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Xiyue Yang
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Daojian Qi
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Anqun Wang
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Jiaxing Wen
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Yue Yang
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Meng Jing
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Kai Du
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
| | - Xuewu Wang
- Department of Engineering Physics, Tsinghua University, 100084 Beijing, China
| | - Xiaobo Du
- Mianyang Central Hospital, 621000 Mianyang, China
| | - Zongqing Zhao
- China Academy of Engineering Physics, Laser Fusion Research Center, 621900 Mianyang, China
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27
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Dina NE, Tahir MA, Bajwa SZ, Amin I, Valev VK, Zhang L. SERS-based antibiotic susceptibility testing: Towards point-of-care clinical diagnosis. Biosens Bioelectron 2023; 219:114843. [PMID: 36327563 DOI: 10.1016/j.bios.2022.114843] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 08/09/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022]
Abstract
Emerging antibiotic resistant bacteria constitute one of the biggest threats to public health. Surface-enhanced Raman scattering (SERS) is highly promising for detecting such bacteria and for antibiotic susceptibility testing (AST). SERS is fast, non-destructive (can probe living cells) and it is technologically flexible (readily integrated with robotics and machine learning algorithms). However, in order to integrate into efficient point-of-care (PoC) devices and to effectively replace the current culture-based methods, it needs to overcome the challenges of reliability, cost and complexity. Recently, significant progress has been made with the emergence of both new questions and new promising directions of research and technological development. This article brings together insights from several representative SERS-based AST studies and approaches oriented towards clinical PoC biosensing. It aims to serve as a reference source that can guide progress towards PoC routines for identifying antibiotic resistant pathogens. In turn, such identification would help to trace the origin of sporadic infections, in order to prevent outbreaks and to design effective medical treatment and preventive procedures.
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Affiliation(s)
- Nicoleta Elena Dina
- Department of Molecular and Biomolecular Department, National Institute for Research and Development of Isotopic and Molecular Technologies, 400293, Cluj-Napoca, Romania.
| | - Muhammad Ali Tahir
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, People's Republic of China
| | - Sadia Z Bajwa
- National Institute for Biotechnology and Genetic Engineering (NIBGE), P.O. Box No. 577, Jhang Road, 38000, Faisalabad, Pakistan
| | - Imran Amin
- National Institute for Biotechnology and Genetic Engineering (NIBGE), P.O. Box No. 577, Jhang Road, 38000, Faisalabad, Pakistan
| | - Ventsislav K Valev
- Centre for Photonics and Photonic Materials, Department of Physics, University of Bath, Bath, BA2 7AY, United Kingdom; Centre for Therapeutic Innovation, University of Bath, Bath, United Kingdom; Centre for Nanoscience and Nanotechnology, University of Bath, Bath, United Kingdom.
| | - Liwu Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200433, People's Republic of China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, People's Republic of China.
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28
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Chakraborty D, Ghosh D, Kumar S, Jenkins D, Chandrasekaran N, Mukherjee A. Nano-diagnostics as an emerging platform for oral cancer detection: Current and emerging trends. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2023; 15:e1830. [PMID: 35811418 DOI: 10.1002/wnan.1830] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 06/05/2022] [Accepted: 06/15/2022] [Indexed: 01/31/2023]
Abstract
Globally, oral cancer kills an estimated 150,000 individuals per year, with 300,000 new cases being diagnosed annually. The high incidence rate of oral cancer among the South-Asian and American populations is majorly due to overuse of tobacco, alcohol, and poor dental hygiene. Additionally, socio-economic issues and lack of general awareness delay the primary screening of the disease. The availability of early screening techniques for oral cancer can help in carving out a niche for accurate disease prognosis and also its prevention. However, conventional diagnostic approaches and therapeutics are still far from optimal. Thus, enhancing the analytical performance of diagnostic platforms in terms of specificity and precision can help in understanding the disease progression paradigm. Fabrication of efficient nanoprobes that are sensitive, noninvasive, cost-effective, and less labor-intensive can reduce the global cancer burden. Recent advances in optical, electrochemical, and spectroscopy-based nano biosensors that employ noble and superparamagnetic nanoparticles, have been proven to be extremely efficient. Further, these sensitive nanoprobes can also be employed for predicting disease relapse after chemotherapy, when the majority of the biomarker load is eliminated. Herein, we provide the readers with a brief summary of conventional and new-age oral cancer detection techniques. A comprehensive understanding of the inherent challenges associated with conventional oral cancer detection techniques is discussed. We also elaborate on how nanoparticles have shown tremendous promise and effectiveness in radically transforming the approach toward oral cancer detection. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > Diagnostic Nanodevices Diagnostic Tools > In Vitro Nanoparticle-Based Sensing.
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Affiliation(s)
- Debolina Chakraborty
- School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.,Centre for Nanobiotechnology, Vellore Institute of Technology, Vellore, India
| | - Debayan Ghosh
- Centre for Nanobiotechnology, Vellore Institute of Technology, Vellore, India
| | - Sanjit Kumar
- Centre for Bioseparation Technology, Vellore Institute of Technology, Vellore, India
| | - David Jenkins
- Wolfson Nanomaterials & Devices Laboratory, School of Computing, Electronics and Mathematics, Faculty of Science & Engineering, University of Plymouth, Devon, UK
| | | | - Amitava Mukherjee
- Centre for Nanobiotechnology, Vellore Institute of Technology, Vellore, India
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Kavuru V, Senger RS, Robertson JL, Choudhury D. Analysis of urine Raman spectra differences from patients with diabetes mellitus and renal pathologies. PeerJ 2023; 11:e14879. [PMID: 36874959 PMCID: PMC9979830 DOI: 10.7717/peerj.14879] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 01/20/2023] [Indexed: 03/03/2023] Open
Abstract
Background Chronic kidney disease (CKD) poses a major public health burden. Diabetes mellitus (DM) is one of the major causes of CKD. In patients with DM, it can be difficult to differentiate diabetic kidney disease (DKD) from other causes of glomerular damage; it should not be assumed that all DM patients with decreased eGFR and/or proteinuria have DKD. Renal biopsy is the standard for definitive diagnosis, but other less invasive methods may provide clinical benefit. As previously reported, Raman spectroscopy of CKD patient urine with statistical and chemometric modeling may provide a novel, non-invasive methodology for discriminating between renal pathologies. Methods Urine samples were collected from renal biopsied and non-biopsied patients presenting with CKD secondary to DM and non-diabetic kidney disease. Samples were analyzed by Raman spectroscopy, baselined with the ISREA algorithm, and subjected to chemometric modeling. Leave-one-out cross-validation was used to assess the predictive capabilities of the model. Results This proof-of-concept study consisted of 263 samples, including renal biopsied, non-biopsied diabetic and non-diabetic CKD patients, healthy volunteers, and the Surine™ urinalysis control. Urine samples of DKD patients and those with immune-mediated nephropathy (IMN) were distinguished from one another with 82% sensitivity, specificity, positive-predictive value (PPV), and negative-predictive value (NPV). Among urine samples from all biopsied CKD patients, renal neoplasia was identified in urine with 100% sensitivity, specificity, PPV, and NPV, and membranous nephropathy was identified with 66.7% sensitivity, 96.4% specificity, 80.0% PPV, and 93.1% NPV. Finally, DKD was identified among a population of 150 patient urine samples containing biopsy-confirmed DKD, other biopsy-confirmed glomerular pathologies, un-biopsied non-diabetic CKD patients (no DKD), healthy volunteers, and Surine™ with 36.4% sensitivity, 97.8% specificity, 57.1% PPV, and 95.1% NPV. The model was used to screen un-biopsied diabetic CKD patients and identified DKD in more than 8% of this population. IMN in diabetic patients was identified among a similarly sized and diverse population with 83.3% sensitivity, 97.7% specificity, 62.5% PPV, and 99.2% NPV. Finally, IMN in non-diabetic patients was identified with 50.0% sensitivity, 99.4% specificity, 75.0% PPV, and 98.3% NPV. Conclusions Raman spectroscopy of urine with chemometric analysis may be able to differentiate between DKD, IMN, and other glomerular diseases. Future work will further characterize CKD stages and glomerular pathology, while assessing and controlling for differences in factors such as comorbidities, disease severity, and other lab parameters.
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Affiliation(s)
- Varun Kavuru
- Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.,University Hospital at University of Virginia Medical Center, Charlottesville, VA, United States
| | - Ryan S Senger
- Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA, United States.,DialySensors, Inc., Blacksburg, VA, United States
| | - John L Robertson
- DialySensors, Inc., Blacksburg, VA, United States.,Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA, United States
| | - Devasmita Choudhury
- Virginia Tech Carilion School of Medicine, Roanoke, VA, United States.,Salem Veteran Affairs Health Care System, Salem, VA, United States
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30
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Panikar SS, Sekhar Reddy KC, Gonzalez AL, Ramírez-García G, Rodríguez ÁG, Mondragon Sosa MA, Salas P, Mota-Morales JD. Deep Eutectic Solvent-Enabled Plasmonic Nanocellulose Aerogel: On-Demand Three-Dimensional (3D) SERS Hotspot Based on Collapsing Mechanism. Anal Chem 2022; 94:16470-16480. [DOI: 10.1021/acs.analchem.2c03964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sandeep Surendra Panikar
- Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro, 76230, México
| | - Kolli Chandra Sekhar Reddy
- Centro de Investigación y de Estudios Avanzados (CINVESTAV) Unidad Querétaro, Querétaro, 76230, México
- Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani Hyderabad Campus, Hyderabad 500078, India
| | - Ana L. Gonzalez
- Instituto de Física, Benemérita Universidad Autónoma de Puebla, Apdo. Post. J-48, Puebla, 72570, México
| | - Gonzalo Ramírez-García
- Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro, 76230, México
| | - Ángel G. Rodríguez
- Coordinación para la Innovación y la Aplicación de la Ciencia y la Tecnología (CIACYT), Universidad Autónoma de San Luis Potosí (UASLP), Álvaro Obregón 64, 78000 San Luis Potosí, S.L.P. México
| | - María Antonieta Mondragon Sosa
- Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro, 76230, México
| | - Pedro Salas
- Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro, 76230, México
| | - Josué D. Mota-Morales
- Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro, 76230, México
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31
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Lai H, Chen Z, Li G, Zhang Z. All-in-One Preparation Strategy Integrated in a Miniaturized Device for Fast Analyses of Biomarkers in Biofluids by Surface Enhanced Raman Scattering. Anal Chem 2022; 94:16275-16281. [DOI: 10.1021/acs.analchem.2c03504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Huasheng Lai
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhengyi Chen
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhuomin Zhang
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
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32
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Constantinou M, Hadjigeorgiou K, Abalde-Cela S, Andreou C. Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis. ACS APPLIED NANO MATERIALS 2022; 5:12276-12299. [PMID: 36210923 PMCID: PMC9534173 DOI: 10.1021/acsanm.2c02392] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/27/2022] [Indexed: 05/03/2023]
Abstract
Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for the detection of small analytes with great potential for medical diagnostic applications. Its high sensitivity and excellent molecular specificity, which stems from the unique fingerprint of molecular species, have been applied toward the detection of different types of cancer. The noninvasive and rapid detection offered by SERS highlights its applicability for point-of-care (PoC) deployment for cancer diagnosis, screening, and staging, as well as for predicting tumor recurrence and treatment monitoring. This review provides an overview of the progress in label-free (direct) SERS-based chemical detection for cancer diagnosis with the main focus on the advances in the design and preparation of SERS substrates on the basis of metal nanoparticle structures formed via bottom-up strategies. It begins by introducing a synopsis of the working principles of SERS, including key chemometric approaches for spectroscopic data analysis. Then it introduces the advances of label-free sensing with SERS in cancer diagnosis using biofluids (blood, urine, saliva, sweat) and breath as the detection media. In the end, an outlook of the advances and challenges in cancer diagnosis via SERS is provided.
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Affiliation(s)
- Marios Constantinou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Katerina Hadjigeorgiou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
| | - Sara Abalde-Cela
- International
Iberian Nanotechnology Laboratory, Avenida Mestre José Veiga s/n, Braga 4715-330, Portugal
| | - Chrysafis Andreou
- Department
of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus
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33
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Zhang B, Zhang J, Yu X, Peng J, Pan L, Tu K. Evaluation of the adsorption capacity and mechanism of soy protein isolate for volatile flavor compounds: Role of different oxygen-containing functional groups. Food Chem 2022; 386:132745. [PMID: 35334317 DOI: 10.1016/j.foodchem.2022.132745] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 03/02/2022] [Accepted: 03/17/2022] [Indexed: 11/18/2022]
Abstract
Mechanism of soy protein isolate (SPI) adsorbing isomers of volatile flavor compounds (VFCs: 2-octanone, 1-octen-3-ol and octanal) were investigated by exploring the interaction between different oxygen-containing functional groups (OCF groups: carbonyl, alcohol hydroxyl and aldehyde group) and SPI in this study. VFCs made SPI aggregate into larger particle size, and an increase in β-sheet and β-turn was observed. Octanal has strongest binding capacity to SPI, followed by 1-octen-3-ol and 2-octanone. Fluorescence analysis revealed that static quenching occurred between the VFCs and SPI, which suggested that SPI-VFCs complex were formed. Double logarithmic Stern-Volmer indicated the strongest interaction between aldehyde group and SPI, which was proved by surface plasmon resonance. Finally, molecular docking results showed more hydrogen bonds between octanal and SPI. The results showed that aldehyde groups were more likely to interact with SPI than others, probably due to their tendency to form more hydrogen bonds.
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Affiliation(s)
- Bin Zhang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Jingwen Zhang
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaobo Yu
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; National Center of Meat Quality and Safety Control, Nanjing 210095, China
| | - Jing Peng
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Leiqing Pan
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Kang Tu
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
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34
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Zhang Y, Li W, Zhang H, Wang S, Li X, Zaigham Abbas Naqvi SM, Hu J. Dual-functional SERRS and fluorescent aptamer sensor for abscisic acid detection via charged gold nanorods. Front Chem 2022; 10:965761. [PMID: 36046725 PMCID: PMC9420979 DOI: 10.3389/fchem.2022.965761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 07/15/2022] [Indexed: 11/13/2022] Open
Abstract
Abscisic acid (ABA) is a plant hormone, which plays an important role in plant growth, crop cultivation and modern agricultural engineering management. Accordingly, the detection of ABA content combined with new techniques and methods has become a more and more popular problem in the field of agricultural engineering. In this work, a SERRS and fluorescence dual-function sensor based on the fluorescence quenching and Raman enhancement properties of gold nanorods (AuNRs) was developed, and applied to the detection of plant hormone ABA. The dual-function reporter molecule Rhodamine isothiocyanate (RBITC) and complementary DNA (cDNA) were modified on AuNRs (AuNRs@RBITC@cDNA) as signal probes and aptamer modified magnetic nanoparticles (Fe3O4MNPs@Apt) as capture probes. Through the specific recognition of ABA aptamer and its complementary chains, an dual-function aptamer sensor based on SERRS and fluorescence was constructed. When ABA molecules were present in the detection system, the signal probes were detached from the capture probes due to the preferential binding between aptamer and ABA molecules. SERS signal of the reporter molecules appeared in the supernatant after magnetic separation, and it increased with the increase of ABA concentration. If the etching agent that can etch AuNRs was added to the supernatant, the AuNRs was etching disappeared, then the signal molecules fall off from the AuNRs, and the fluorescence signal intensity would recovered. The intensity of fluorescence signal also increased with the increase of ABA concentration. Thus, the quantitative relationship between ABA concentration and SERRS intensity and fluorescence intensity of signal molecules was established. The linear range of SERRS detection was 100 fM–0.1 nM, the detection limit was 38 fM; The linear range of fluorescence detection was 1 pM–100 nM, the detection limit is 0.33 p.m. The constructed dual-effect sensor was used in the recovery laboratory of real ABA samples, the recovery rate was up to 85–108%.
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Affiliation(s)
- Yanyan Zhang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Wei Li
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
- College of Science, Henan Agricultural University, Zhengzhou, China
| | - Hao Zhang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Shun Wang
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
- College of Science, Henan Agricultural University, Zhengzhou, China
| | - Xiaodong Li
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Syed Muhammad Zaigham Abbas Naqvi
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
| | - Jiandong Hu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China
- Henan International Joint Laboratory of Laser Technology in Agricultural Sciences, Zhengzhou, China
- State Key Laboratory of Wheat and Maize Crop Science, Zhengzhou, China
- *Correspondence: Jiandong Hu,
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35
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Zhao W, Li J, Xue Z, Qiao X, Li A, Chen X, Feng Y, Yang Z, Wang T. A Separation-Sensing Platform Performing Accurate Diagnosis of Jaundice in Complex Biological Tear Fluids. Angew Chem Int Ed Engl 2022; 61:e202205628. [PMID: 35546068 DOI: 10.1002/anie.202205628] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Indexed: 01/31/2023]
Abstract
The detection of biomarkers in tears has aroused great interest owing to the advantages of non-invasive and rapid collection. The combination of ultrasensitivity and label-free detection of surface-enhanced Raman spectroscopy (SERS) sensors is expected to achieve real-time diagnosis in home medical care. However, the surface of SERS sensors is susceptible to biofouling and inactivation by biological impurities in tears, resulting in rapid degradation of sensitivity, limiting the commercialization of point-of-care devices. Herein, a binary nanosphere array with dual properties is constructed as a separation-sensing platform for the diagnosis of target molecules in tears. The upper part of the structure is composed of Au nanoparticles (AuNPs) and a sputtering Au layer, which can bind the target molecules that interact with Au and provide high-strength and high-density SERS hotspots. The lower half is an inactive SiO2 nanosphere array with periodic large pores that allows biological impurities to penetrate the lower part and be separated from the target analyte. Furthermore, this substrate was integrated into homemade tear kits, enabling simultaneous tear collection, pre-separation, and detection. Combined with the Raman spectra of tears and LDA analysis, we successfully identified patients with jaundice in clinics. This platform is expected to provide an opportunity for early disease screening based on biological fluids.
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Affiliation(s)
- Weidong Zhao
- Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, 300384, P. R. China
| | - Jinming Li
- Department of Materials Science and Engineering, University of Science and Technology Beijing, Beijing, 100083, P. R. China
| | - Zhenjie Xue
- Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, 300384, P. R. China
| | - Xuezhi Qiao
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Ailin Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Xiangyu Chen
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
| | - Yun Feng
- Department of Ophthalmology, Peking University Third Hospital, Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University, Third Hospital, Beijing, 100191, P. R. China
| | - Zhou Yang
- Department of Materials Science and Engineering, University of Science and Technology Beijing, Beijing, 100083, P. R. China
| | - Tie Wang
- Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, 300384, P. R. China.,Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences (CAS), Beijing, 100190, P. R. China
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36
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Guselnikova O, Lim H, Kim HJ, Kim SH, Gorbunova A, Eguchi M, Postnikov P, Nakanishi T, Asahi T, Na J, Yamauchi Y. New Trends in Nanoarchitectured SERS Substrates: Nanospaces, 2D Materials, and Organic Heterostructures. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107182. [PMID: 35570326 DOI: 10.1002/smll.202107182] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 03/23/2022] [Indexed: 06/15/2023]
Abstract
This article reviews recent fabrication methods for surface-enhanced Raman spectroscopy (SERS) substrates with a focus on advanced nanoarchitecture based on noble metals with special nanospaces (round tips, gaps, and porous spaces), nanolayered 2D materials, including hybridization with metallic nanostructures (NSs), and the contemporary repertoire of nanoarchitecturing with organic molecules. The use of SERS for multidisciplinary applications has been extensively investigated because the considerably enhanced signal intensity enables the detection of a very small number of molecules with molecular fingerprints. Nanoarchitecture strategies for the design of new NSs play a vital role in developing SERS substrates. In this review, recent achievements with respect to the special morphology of metallic NSs are discussed, and future directions are outlined for the development of available NSs with reproducible preparation and well-controlled nanoarchitecture. Nanolayered 2D materials are proposed for SERS applications as an alternative to the noble metals. The modern solutions to existing limitations for their applications are described together with the state-of-the-art in bio/environmental SERS sensing using 2D materials-based composites. To complement the existing toolbox of plasmonic inorganic NSs, hybridization with organic molecules is proposed to improve the stability of NSs and selectivity of SERS sensing by hybridizing with small or large organic molecules.
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Affiliation(s)
- Olga Guselnikova
- JST-ERATO Yamauchi Materials Space Tectonics Project, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan
- Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Tomsk, 634050, Russian Federation
| | - Hyunsoo Lim
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia
- New & Renewable Energy Research Center, Korea Electronics Technology Institute (KETI), 25, Saenari-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13509, Republic of Korea
| | - Hyun-Jong Kim
- Surface Technology Group, Korea Institute of Industrial Technology (KITECH), Incheon, 21999, Republic of Korea
| | - Sung Hyun Kim
- New & Renewable Energy Research Center, Korea Electronics Technology Institute (KETI), 25, Saenari-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13509, Republic of Korea
| | - Alina Gorbunova
- Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Tomsk, 634050, Russian Federation
| | - Miharu Eguchi
- JST-ERATO Yamauchi Materials Space Tectonics Project, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan
| | - Pavel Postnikov
- Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, Tomsk, 634050, Russian Federation
| | - Takuya Nakanishi
- Kagami Memorial Research Institute for Materials Science and Technology, Waseda University, 2-8-26 Nishiwaseda, Shinjuku, Tokyo, 169-0051, Japan
| | - Toru Asahi
- Kagami Memorial Research Institute for Materials Science and Technology, Waseda University, 2-8-26 Nishiwaseda, Shinjuku, Tokyo, 169-0051, Japan
| | - Jongbeom Na
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia
- Research and Development (R&D) Division, Green Energy Institute, Mokpo, Jeollanamdo, 58656, Republic of Korea
| | - Yusuke Yamauchi
- JST-ERATO Yamauchi Materials Space Tectonics Project, National Institute for Materials Science (NIMS), 1-1 Namiki, Tsukuba, Ibaraki, 305-0044, Japan
- Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD, 4072, Australia
- Kagami Memorial Research Institute for Materials Science and Technology, Waseda University, 2-8-26 Nishiwaseda, Shinjuku, Tokyo, 169-0051, Japan
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37
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Azimi S, Docoslis A. Recent Advances in the Use of Surface-Enhanced Raman Scattering for Illicit Drug Detection. SENSORS (BASEL, SWITZERLAND) 2022; 22:3877. [PMID: 35632286 PMCID: PMC9143835 DOI: 10.3390/s22103877] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/10/2022] [Accepted: 05/16/2022] [Indexed: 02/07/2023]
Abstract
The rapid increase in illicit drug use and its adverse health effects and socio-economic consequences have reached alarming proportions in recent years. Surface-enhanced Raman scattering (SERS) has emerged as a highly sensitive analytical tool for the detection of low dosages of drugs in liquid and solid samples. In the present article, we review the state-of-the-art use of SERS for chemical analysis of illicit drugs in aqueous and complex biological samples, including saliva, urine, and blood. We also include a review of the types of SERS substrates used for this purpose, pointing out recent advancements in substrate fabrication towards quantitative and qualitative detection of illicit drugs. Finally, we conclude by providing our perspective on the field of SERS-based drug detection, including presently faced challenges. Overall, our review provides evidence of the strong potential of SERS to establish itself as both a laboratory and in situ analytical method for fast and sensitive drug detection and identification.
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Affiliation(s)
| | - Aristides Docoslis
- Department of Chemical Engineering, Queen’s University, Kingston, ON K7L 3N6, Canada;
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38
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Zhao W, Li J, Xue Z, Qiao X, Li A, Chen X, Feng Y, Wang T. A Separation‐Sensing Platform Performing Accurate Diagnosis of Jaundice in Complex Biological Tear Fluids. Angew Chem Int Ed Engl 2022. [DOI: 10.1002/ange.202205628] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Weidong Zhao
- Institute of Chemistry Chinese Academy of Sciences Key Laboratory of Analytical Chemistry for Living Biosystems CHINA
| | - Jinming Li
- Institute of Chemistry Chinese Academy of Sciences Key Laboratory of Analytical Chemistry for Living Biosystems CHINA
| | - Zhenjie Xue
- Tianjin University of Technology Life and Health Intelligent Research Institute CHINA
| | - Xuezhi Qiao
- Institute of Chemistry Chinese Academy of Sciences Key Laboratory of Analytical Chemistry for Living Biosystems CHINA
| | - Ailin Li
- Institute of Chemistry Chinese Academy of Sciences Key Laboratory of Analytical Chemistry for Living Biosystems CHINA
| | - Xiangyu Chen
- Institute of Chemistry Chinese Academy of Sciences Key Laboratory of Analytical Chemistry for Living Biosystems CHINA
| | - Yun Feng
- Institute of Chemistry Chinese Academy of Sciences Key Laboratory of Analytical Chemistry for Living Biosystems CHINA
| | - Tie Wang
- Institute of Chemistry, Chinese Academy of Sciences Analytical Chemistry #2 North 1st Street, Zhongguancun 100190 Beijing CHINA
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39
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The Role of Surface Enhanced Raman Scattering for Therapeutic Drug Monitoring of Antimicrobial Agents. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10040128] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The rapid quantification of antimicrobial agents is important for therapeutic drug monitoring (TDM), enabling personalized dosing schemes in critically ill patients. Highly sophisticated TDM technology is becoming available, but its implementation in hospitals is still limited. Among the various proposed techniques, surface-enhanced Raman scattering (SERS) stands out as one of the more interesting due to its extremely high sensitivity, rapidity, and fingerprinting capabilities. Here, we present a comprehensive review of various SERS-based novel approaches applied for direct and indirect detection and quantification of antibiotic, antifungal, and antituberculosis drugs in different matrices, particularly focusing on the challenges for successful exploitation of this technique in the development of assays for point-of-care tests.
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40
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Wu L, Dias A, Diéguez L. Surface enhanced Raman spectroscopy for tumor nucleic acid: Towards cancer diagnosis and precision medicine. Biosens Bioelectron 2022; 204:114075. [DOI: 10.1016/j.bios.2022.114075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/13/2022] [Accepted: 02/02/2022] [Indexed: 11/25/2022]
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41
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Hu C, Peng F, Mi F, Wang Y, Geng P, Pang L, Ma Y, Li G, Li Y, Guan M. SERS-based boronate affinity biosensor with biomimetic specificity and versatility: Surface-imprinted magnetic polymers as recognition elements to detect glycoproteins. Anal Chim Acta 2022; 1191:339289. [PMID: 35033265 DOI: 10.1016/j.aca.2021.339289] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/12/2021] [Accepted: 11/15/2021] [Indexed: 01/12/2023]
Abstract
Glycoproteins are a class of proteins with significant biological functions and clinical implications. Due to glycoproteins' reliability for the quantitative analysis, they have been used as biomarkers and therapeutic targets for disease diagnosis. We propose a sandwich structure-based boronate affinity biosensor that can separate and detect target glycoproteins by magnetic separation and Surface-enhanced Raman scattering (SERS) probes. The biosensor relies on boronic acid affinity magnetic molecularly imprinted polymer (MMIPs) with pH response as "capturing probe" for glycoproteins, and Au-MPBA@Ag modified with 4-mercaptophenylboronic acid (MPBA) as SERS probes, among which, MPBA has both strong SERS activity and can specifically recognize and bind to glycoproteins. MMIPs ensured specific and rapid analysis, and SERS detection provided high sensitivity. The proposed boronate affinity SERS strategy exhibited universal applicability and provided high sensitivity with limit of detection of 0.053 ng/mL and 0.078 ng/mL for horseradish peroxidase and acid phosphatase, respectively. Ultimately, the boronate affinity SERS strategy was successfully applied in detection of glycoprotein in spiked serum sample with recovery between 90.6% and 103.4%, respectively. In addition, this study used a portable Raman meter, which can meet the requirements of point-of-care testing. The biosensor presented here also has advantages in terms of cost-effectiveness, stability, and detection speed.
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Affiliation(s)
- Cunming Hu
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Fei Peng
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Fang Mi
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Ying Wang
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Pengfei Geng
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Lin Pang
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Yuhua Ma
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Guixin Li
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China
| | - Yingjun Li
- College of Foreign Languages, Xinjiang Normal University, Urumqi, 830054, China
| | - Ming Guan
- College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China.
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Verdin A, Sloan-Dennison S, Malherbe C, Graham D, Eppe G. SERS nanotags for folate receptor α detection at the single cell level: discrimination of overexpressing cells and potential for live cell applications. Analyst 2022; 147:3328-3339. [DOI: 10.1039/d2an00706a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Development of nanotags based on Surface-Enhanced Raman Scattering (SERS) for the discrimination of cancer cells overexpressing folate receptor α. Nanotags are also applicable for live cell measurements.
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Affiliation(s)
- Alexandre Verdin
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée du 6 Août, 4000 Liège, Belgium
| | - Sian Sloan-Dennison
- Department of Pure and Applied Chemistry, Technology and Innovation Center, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK
| | - Cedric Malherbe
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée du 6 Août, 4000 Liège, Belgium
| | - Duncan Graham
- Department of Pure and Applied Chemistry, Technology and Innovation Center, University of Strathclyde, 99 George Street, Glasgow G1 1RD, UK
| | - Gauthier Eppe
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée du 6 Août, 4000 Liège, Belgium
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Zhu D, Li A, Di Y, Wang Z, Shi J, Ni X, Wang Y. Interference-free SERS nanoprobes for labeling and imaging of MT1-MMP in breast cancer cells. NANOTECHNOLOGY 2021; 33:115702. [PMID: 34874311 DOI: 10.1088/1361-6528/ac4065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/06/2021] [Indexed: 06/13/2023]
Abstract
The expression of membrane type-1 matrix metalloproteinase (MT1-MMP) in cancer cells is critical for understanding the development, invasion and metastasis of cancers. In this study, we devised an interference-free surface-enhanced Raman scattering (SERS) nanoprobe with high selectivity and specificity for MT1-MMP. The nanoprobe was comprised of silver core-silica shell nanoparticle with a Raman reporter tag (4-mercaptobenzonitrile) embedded in the interface. Moreover, the nitrile group in 4-mercaptobenzonitrile shows a unique characteristic peak in the Raman-silent region (1800-2800 cm-1), which eliminates spectral overlapping or background interference in the Raman fingerprint region (500-1800 cm-1). After surface modification with a targeting peptide, the nanoprobe allowed visualization and evaluation of MT1-MMP in breast cancer cells via SERS spectrometry. This interference-free, peptide-functionalized SERS nanoprobe is supposed to be conducive to early diagnosis and invasive assessment of cancer in clinical settings.
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Affiliation(s)
- Dan Zhu
- Jiangsu Key Laboratory on Opto-electronic Technology, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, People's Republic of China
| | - Anran Li
- Jiangsu Key Laboratory on Opto-electronic Technology, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, People's Republic of China
| | - Yunsong Di
- Jiangsu Key Laboratory on Opto-electronic Technology, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, People's Republic of China
| | - Zhuyuan Wang
- Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, Jiangsu, People's Republic of China
| | - Jingzhan Shi
- Jiangsu Key Laboratory on Opto-electronic Technology, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, People's Republic of China
| | - Xiaoqi Ni
- Jiangsu Key Laboratory on Opto-electronic Technology, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, People's Republic of China
| | - Yiping Wang
- Jiangsu Key Laboratory on Opto-electronic Technology, School of Computer and Electronic Information/School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, Jiangsu, People's Republic of China
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Lin D, He Y, Dong R, Li W, Meng F, Zhang Y, Yang L. The rapid SERS detection of succinylcholine chloride in human plasma is based on the high affinity between quaternary ammonium salt structures. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 263:120172. [PMID: 34273893 DOI: 10.1016/j.saa.2021.120172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 06/26/2021] [Accepted: 07/07/2021] [Indexed: 06/13/2023]
Abstract
Succinylcholine chloride (SCC) is a common poison that threatens human life. At present, there is a lack of research on its on-site rapid detection methods. In this work, the use of gold nanorods as an enhanced substrate based on the high affinity between the quaternary ammonium salt structure can achieve rapid SERS detection of SCC in plasma. The long alkane chain structure of cetyltrimethylammonium bromide (CTAB) and the quaternary ammonium salt structure of SCC have a high molecular affinity, so that the target molecule can show a strong and obvious characteristic signal of SERS. Combined with a simple pretreatment method, acetonitrile is used as a protein precipitation agent to effectively remove matrix interference. The constructed SERS substrate can achieve the sensitive detection of 2 × 10-8 M level of SCC in plasma samples and has high detection reproducibility. The entire pre-processing and testing process can be completed within 7 min, which can be used as an important technical basis for the preliminary identification of on-site SCC-related drug cases. The research results provide an effective solution for the establishment of SCC analysis strategies in complex matrices, and can provide new ideas for solving the problems of difficult identification of common poisons in the field and the lack of rapid detection methods on site.
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Affiliation(s)
- Dongyue Lin
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China; Department of Pharmacy, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031,China
| | - Yao He
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Ronglu Dong
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China
| | - Wei Li
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Fanli Meng
- Northeastern University, Shenyang 110819, China
| | - Yunfeng Zhang
- Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
| | - Liangbao Yang
- Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Department of Pharmacy, Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031,China.
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Liu X, Yang S, Lyu X, Liu S, Wang Y, Li Y, Wang B, Chen W, Wang W, Guo J, Ma X. Instant Preparation of Ultraclean Gold Nanothorns under Ambient Conditions for SERS Kit-Enabled Mobile Diagnosis. Anal Chem 2021; 93:16628-16637. [PMID: 34855357 DOI: 10.1021/acs.analchem.1c04099] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Availability of surface-enhanced Raman scattering (SERS) substrates with good stability, high sensitivity, and a clean surface is crucial for the practical usefulness of the SERS technology in biochemical sensing, especially for point-of-care testing (POCT). Hereby, we develop a "ready-to-use" SERS kit, which requires only 20 s to fabricate ultraclean gold nanothorn (AuNT)-based SERS chips under ambient conditions with simple solution processing steps. By varying the thickness of the pre-coated platinum (Pt) nanolayer, we can control the size and number density of the grown AuNT. Taking advantage of the ultraclean surface of the instantly obtained fresh AuNT, Raman reporter molecules can also be immediately modified, by means of which specific detection of three analytes including H2O2, NO2-, and ClO- is realized. Furthermore, we propose the concept of an SERS kit and apply it to smartphone-based Raman analysis for POCT applications. This on-site preparation method solves the long-standing challenges hindering the practical use of SERS substrates, such as complicated fabrication processes, interference of residual surfactants, poor surface stability, and easy contamination. Besides performing SERS analysis conveniently and quickly, this SERS kit-enabled POCT technology can integrate remote data terminals and medical resources, which shows great potential for environmental protection or online-healthcare systems.
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Affiliation(s)
- Xiaojia Liu
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Sauvage Laboratory for Smart Materials, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Shikun Yang
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Xianglong Lyu
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Sanhu Liu
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Yong Wang
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Yang Li
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Bo Wang
- School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
| | - Wenjun Chen
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Sauvage Laboratory for Smart Materials, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
| | - Wei Wang
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China
| | - Jinhong Guo
- School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xing Ma
- School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Sauvage Laboratory for Smart Materials, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China.,Shenzhen Bay Laboratory, No. 9 Duxue Road, Shenzhen 518055, China
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Multiplexed Prostate Cancer Companion Diagnostic Devices. SENSORS 2021; 21:s21155023. [PMID: 34372259 PMCID: PMC8347987 DOI: 10.3390/s21155023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/19/2021] [Accepted: 07/21/2021] [Indexed: 12/17/2022]
Abstract
Prostate cancer (PCa) remains one of the most prominent forms of cancer for men. Since the early 1990s, Prostate-Specific Antigen (PSA) has been a commonly recognized PCa-associated protein biomarker. However, PSA testing has been shown to lack in specificity and sensitivity when needed to diagnose, monitor and/or treat PCa patients successfully. One enhancement could include the simultaneous detection of multiple PCa-associated protein biomarkers alongside PSA, also known as multiplexing. If conventional methods such as the enzyme-linked immunosorbent assay (ELISA) are used, multiplexed detection of such protein biomarkers can result in an increase in the required sample volume, in the complexity of the analytical procedures, and in adding to the cost. Using companion diagnostic devices such as biosensors, which can be portable and cost-effective with multiplexing capacities, may address these limitations. This review explores recent research for multiplexed PCa protein biomarker detection using optical and electrochemical biosensor platforms. Some of the novel and potential serum-based PCa protein biomarkers will be discussed in this review. In addition, this review discusses the importance of converting research protocols into multiplex point-of-care testing (xPOCT) devices to be used in near-patient settings, providing a more personalized approach to PCa patients’ diagnostic, surveillance and treatment management.
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