1
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Matthies L, Amir-Kabirian H, Gebrekidan MT, Braeuer AS, Speth US, Smeets R, Hagel C, Gosau M, Knipfer C, Friedrich RE. Raman difference spectroscopy and U-Net convolutional neural network for molecular analysis of cutaneous neurofibroma. PLoS One 2024; 19:e0302017. [PMID: 38603731 PMCID: PMC11008861 DOI: 10.1371/journal.pone.0302017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 03/26/2024] [Indexed: 04/13/2024] Open
Abstract
In Neurofibromatosis type 1 (NF1), peripheral nerve sheaths tumors are common, with cutaneous neurofibromas resulting in significant aesthetic, painful and functional problems requiring surgical removal. To date, determination of adequate surgical resection margins-complete tumor removal while attempting to preserve viable tissue-remains largely subjective. Thus, residual tumor extension beyond surgical margins or recurrence of the disease may frequently be observed. Here, we introduce Shifted-Excitation Raman Spectroscopy in combination with deep neural networks for the future perspective of objective, real-time diagnosis, and guided surgical ablation. The obtained results are validated through established histological methods. In this study, we evaluated the discrimination between cutaneous neurofibroma (n = 9) and adjacent physiological tissues (n = 25) in 34 surgical pathological specimens ex vivo at a total of 82 distinct measurement loci. Based on a convolutional neural network (U-Net), the mean raw Raman spectra (n = 8,200) were processed and refined, and afterwards the spectral peaks were assigned to their respective molecular origin. Principal component and linear discriminant analysis was used to discriminate cutaneous neurofibromas from physiological tissues with a sensitivity of 100%, specificity of 97.3%, and overall classification accuracy of 97.6%. The results enable the presented optical, non-invasive technique in combination with artificial intelligence as a promising candidate to ameliorate both, diagnosis and treatment of patients affected by cutaneous neurofibroma and NF1.
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Affiliation(s)
- Levi Matthies
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hendrik Amir-Kabirian
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Medhanie T. Gebrekidan
- Institute of Thermal-, Environmental- and Resources‘ Process Engineering, Technische Universität Bergakademie Freiberg, Freiberg, Germany
| | - Andreas S. Braeuer
- Institute of Thermal-, Environmental- and Resources‘ Process Engineering, Technische Universität Bergakademie Freiberg, Freiberg, Germany
| | - Ulrike S. Speth
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ralf Smeets
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Division of “Regenerative Orofacial Medicine”, Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Hagel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martin Gosau
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Knipfer
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Reinhard E. Friedrich
- Department of Oral and Maxillofacial Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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2
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Mattoli L, Pelucchini C, Fiordelli V, Burico M, Gianni M, Zambaldi I. Natural complex substances: From molecules to the molecular complexes. Analytical and technological advances for their definition and differentiation from the corresponding synthetic substances. PHYTOCHEMISTRY 2023; 215:113790. [PMID: 37487919 DOI: 10.1016/j.phytochem.2023.113790] [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: 03/28/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 07/26/2023]
Abstract
Natural complex substances (NCSs) are a heterogeneous family of substances that are notably used as ingredients in several products classified as food supplements, medical devices, cosmetics and traditional medicines, according to the correspondent regulatory framework. The compositions of NCSs vary widely and hundreds to thousands of compounds can be present at the same time. A key concept is that NCSs are much more than the simple sum of the compounds that constitute them, in fact some emerging phenomena are the result of the supramolecular interaction of the constituents of the system. Therefore, close attention should be paid to produce and characterize these systems. Today many natural compounds are produced by chemical synthesis and are intentionally added to NCSs, or to formulated natural products, to enhance their properties, lowering their production costs. Market analysis shows a tendency of people to use products made with NCSs and, currently, products made with ingredients of natural origin only are not conveniently distinguishable from those containing compounds of synthetic origin. Furthermore, the uncertainty of the current European regulatory framework does not allow consumers to correctly differentiate and identify products containing only ingredients of natural origin. The high demand for specific and effective NCSs and their high-cost offer on the market, create the conditions to economically motivated sophistications, characterized by the addition of a cheap material to a more expensive one, just to increase profit. This type of practice can concern both the addition of less valuable natural materials and the addition of pure artificial compounds with the same structure as those naturally present. In this scenario, it becomes essential for producers of natural products to have advanced analytical techniques to evaluate the effective naturalness of NCSs. In fact, synthetically obtained compounds are not identical to their naturally occurring counterparts, due to the isotopic composition or chirality, as well as the presence of different trace metabolites (since pure substances in nature do not exist). For this reason, in this review, the main analytical tests that can be performed to differentiate natural compounds from their synthetic counterparts will be highlighted and the main analytical technologies will be described. At the same time, the main fingerprint techniques useful for characterizing the complexity of the NCSs, also allowing their identification and quali-quantitative evaluation, will be described. Furthermore, NCSs can be produced through different manufacturing processes, not all of which are on the same level of quality. In this review the most suitable technologies for green processes that operate according to physical extraction principles will be presented, as according to the authors they are the ones that come closest to creating more life-cycle compatible NCSs and that are well suited to the European green deal, a strategy with the aim of transforming the EU into a sustainable and resource-efficient society by 2050.
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Affiliation(s)
- Luisa Mattoli
- Innovation & Medical Science, Aboca SpA, Sansepolcro, AR, Italy.
| | | | | | - Michela Burico
- Innovation & Medical Science, Aboca SpA, Sansepolcro, AR, Italy
| | - Mattia Gianni
- Innovation & Medical Science, Aboca SpA, Sansepolcro, AR, Italy
| | - Ilaria Zambaldi
- Innovation & Medical Science, Aboca SpA, Sansepolcro, AR, Italy
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3
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Lin J, Lin D, Qiu S, Huang Z, Liu F, Huang W, Xu Y, Zhang X, Feng S. Shifted-excitation Raman difference spectroscopy for improving in vivo detection of nasopharyngeal carcinoma. Talanta 2023; 257:124330. [PMID: 36773510 DOI: 10.1016/j.talanta.2023.124330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/03/2023] [Accepted: 02/05/2023] [Indexed: 02/10/2023]
Abstract
A strong fluorescence background is one of the common interference factors of Raman spectroscopic analysis in biological tissue. This study developed an endoscopic shifted-excitation Raman difference spectroscopy (SERDS) system for real-time in vivo detection of nasopharyngeal carcinoma (NPC) for the first time. Owing to the use of the SERDS method, the high-quality Raman signals of nasopharyngeal tissue could be well extracted and characterized from the complex raw spectra by removing the fluorescence interference signals. Significant spectral differences relating to proteins, phospholipids, glucose, and DNA were found between 42 NPC and 42 normal tissue sites. Using linear discriminant analysis, the diagnostic accuracy of SERDS for NPC detection was 100%, which was much higher than that of raw Raman spectroscopy (75.0%), showing the great potential of SERDS for improving the accurate in vivo detection of NPC.
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Affiliation(s)
- Jinyong Lin
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China; Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Duo Lin
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, China
| | - Sufang Qiu
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Zufang Huang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, China.
| | - Feng Liu
- Simple & Smart Instrument (Beijing) Co.,Ltd, China
| | - Wei Huang
- Department of Forensic Science, Fujian Police College, Fuzhou, 350007, PR China
| | - Yuanji Xu
- Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China
| | - Xianzeng Zhang
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, China.
| | - Shangyuan Feng
- Key Laboratory of OptoElectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, China.
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4
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Sheehy G, Picot F, Dallaire F, Ember K, Nguyen T, Petrecca K, Trudel D, Leblond F. Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue and biofluids. JOURNAL OF BIOMEDICAL OPTICS 2023; 28:025002. [PMID: 36825245 PMCID: PMC9941747 DOI: 10.1117/1.jbo.28.2.025002] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 01/30/2023] [Indexed: 05/25/2023]
Abstract
SIGNIFICANCE Standardized data processing approaches are required in the field of bio-Raman spectroscopy to ensure information associated with spectral data acquired by different research groups, and with different systems, can be compared on an equal footing. AIM An open-sourced data processing software package was developed, implementing algorithms associated with all steps required to isolate the inelastic scattering component from signals acquired using Raman spectroscopy devices. The package includes a novel morphological baseline removal technique (BubbleFill) that provides increased adaptability to complex baseline shapes compared to current gold standard techniques. Also incorporated in the package is a versatile tool simulating spectroscopic data with varying levels of Raman signal-to-background ratios, baselines with different morphologies, and varying levels of stochastic noise. RESULTS Application of the BubbleFill technique to simulated data demonstrated superior baseline removal performance compared to standard algorithms, including iModPoly and MorphBR. The data processing workflow of the open-sourced package was validated in four independent in-human datasets, demonstrating it leads to inter-systems data compatibility. CONCLUSIONS A new open-sourced spectroscopic data pre-processing package was validated on simulated and real-world in-human data and is now available to researchers and clinicians for the development of new clinical applications using Raman spectroscopy.
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Affiliation(s)
- Guillaume Sheehy
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Fabien Picot
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Frédérick Dallaire
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Katherine Ember
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Tien Nguyen
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Kevin Petrecca
- McGill University, Montreal Neurological Institute-Hospital, Division of Neuropathology, Department of Pathology, Montreal, Quebec, Canada
| | - Dominique Trudel
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
- Center Hospitalier de l’Université de Montréal, Department of Pathology, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
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5
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Weber A, Hoplight B, Ogilvie R, Muro C, Khandasammy SR, Pérez-Almodóvar L, Sears S, Lednev IK. Innovative Vibrational Spectroscopy Research for Forensic Application. Anal Chem 2023; 95:167-205. [PMID: 36625116 DOI: 10.1021/acs.analchem.2c05094] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Alexis Weber
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.,SupreMEtric LLC, 7 University Pl. B210, Rensselaer, New York 12144, United States
| | - Bailey Hoplight
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Rhilynn Ogilvie
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Claire Muro
- New York State Police Forensic Investigation Center, Building #30, Campus Access Rd., Albany, New York 12203, United States
| | - Shelby R Khandasammy
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Luis Pérez-Almodóvar
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Samuel Sears
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States
| | - Igor K Lednev
- Department of Chemistry, University at Albany, SUNY, 1400 Washington Avenue, Albany, New York 12222, United States.,SupreMEtric LLC, 7 University Pl. B210, Rensselaer, New York 12144, United States
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6
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New Raman spectroscopic methods’ application in forensic science. TALANTA OPEN 2022. [DOI: 10.1016/j.talo.2022.100124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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7
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Stiebing C, Post N, Schindler C, Göhrig B, Lux H, Popp J, Heutelbeck A, Schie IW. Revealing the Chemical Composition of Birch Pollen Grains by Raman Spectroscopic Imaging. Int J Mol Sci 2022; 23:ijms23095112. [PMID: 35563504 PMCID: PMC9101400 DOI: 10.3390/ijms23095112] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 02/01/2023] Open
Abstract
The investigation of the biochemical composition of pollen grains is of the utmost interest for several environmental aspects, such as their allergenic potential and their changes in growth conditions due to climatic factors. In order to fully understand the composition of pollen grains, not only is an in-depth analysis of their molecular components necessary but also spatial information of, e.g., the thickness of the outer shell, should be recorded. However, there is a lack of studies using molecular imaging methods for a spatially resolved biochemical composition on a single-grain level. In this study, Raman spectroscopy was implemented as an analytical tool to investigate birch pollen by imaging single pollen grains and analyzing their spectral profiles. The imaging modality allowed us to reveal the layered structure of pollen grains based on the biochemical information of the recorded Raman spectra. Seven different birch pollen species collected at two different locations in Germany were investigated and compared. Using chemometric algorithms such as hierarchical cluster analysis and multiple-curve resolution, several components of the grain wall, such as sporopollenin, as well as the inner core presenting high starch concentrations, were identified and quantified. Differences in the concentrations of, e.g., sporopollenin, lipids and proteins in the pollen species at the two different collection sites were found, and are discussed in connection with germination and other growth processes.
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Affiliation(s)
- Clara Stiebing
- Leibniz Institute of Photonic Technology (Leibniz-IPHT), Albert-Einstein-Straße 9, 07745 Jena, Germany; (C.S.); (J.P.)
| | - Nele Post
- Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany;
| | - Claudia Schindler
- Institute of Occupational, Social and Environmental Medicine, Jena University Hospital, Erlanger Allee 103, 07747 Jena, Germany; (C.S.); (B.G.); (H.L.); (A.H.)
| | - Bianca Göhrig
- Institute of Occupational, Social and Environmental Medicine, Jena University Hospital, Erlanger Allee 103, 07747 Jena, Germany; (C.S.); (B.G.); (H.L.); (A.H.)
| | - Harald Lux
- Institute of Occupational, Social and Environmental Medicine, Jena University Hospital, Erlanger Allee 103, 07747 Jena, Germany; (C.S.); (B.G.); (H.L.); (A.H.)
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Brandenburg Medical School, 16816 Neuruppin, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology (Leibniz-IPHT), Albert-Einstein-Straße 9, 07745 Jena, Germany; (C.S.); (J.P.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Astrid Heutelbeck
- Institute of Occupational, Social and Environmental Medicine, Jena University Hospital, Erlanger Allee 103, 07747 Jena, Germany; (C.S.); (B.G.); (H.L.); (A.H.)
| | - Iwan W. Schie
- Leibniz Institute of Photonic Technology (Leibniz-IPHT), Albert-Einstein-Straße 9, 07745 Jena, Germany; (C.S.); (J.P.)
- Department of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Carl-Zeiss-Promenade 2, 07745 Jena, Germany;
- Correspondence:
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8
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Shaik TA, Baria E, Wang X, Korinth F, Lagarto JL, Höppener C, Pavone FS, Deckert V, Popp J, Cicchi R, Krafft C. Structural and Biochemical Changes in Pericardium upon Genipin Cross-Linking Investigated Using Nondestructive and Label-Free Imaging Techniques. Anal Chem 2022; 94:1575-1584. [PMID: 35015512 DOI: 10.1021/acs.analchem.1c03348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Tissue cross-linking represents an important and often used technique to enhance the mechanical properties of biomaterials. For the first time, we investigated biochemical and structural properties of genipin (GE) cross-linked equine pericardium (EP) using optical imaging techniques in tandem with quantitative atomic force microscopy (AFM). EP was cross-linked with GE at 37 °C, and its biochemical and biomechanical properties were observed at various time points up to 24 h. GE cross-linked EP was monitored by the normalized ratio between its second-harmonic generation (SHG) and two-photon autofluorescence emissions and remained unchanged for untreated EP; however, a decreasing ratio due to depleted SHG and elevated autofluorescence and a fluorescence band at 625 nm were found for GE cross-linked EP. The mean autofluorescence lifetime of GE cross-linked EP also decreased. The biochemical signature of GE cross-linker and shift in collagen bands were detected and quantified using shifted excitation Raman difference spectroscopy as an innovative approach for tackling artifacts with high fluorescence backgrounds. AFM images indicated a higher and increasing Young's modulus correlated with cross-linking, as well as collagen structural changes in GE cross-linked EP, qualitatively explaining the observed decrease in the second-harmonic signal. In conclusion, we obtained detailed information about the biochemical, structural, and biomechanical effects of GE cross-linked EP using a unique combination of optical and force microscopy techniques in a nondestructive and label-free manner.
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Affiliation(s)
- Tanveer Ahmed Shaik
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", Albert-Einstein-Strasse 9, 07745 Jena, Germany
| | - Enrico Baria
- National Institute of Optics, National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Xinyue Wang
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University, Helmholtzweg 4, 07743 Jena, Germany
| | - Florian Korinth
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", Albert-Einstein-Strasse 9, 07745 Jena, Germany
| | - João L Lagarto
- National Institute of Optics, National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Christiane Höppener
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", Albert-Einstein-Strasse 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University, Helmholtzweg 4, 07743 Jena, Germany
| | - Francesco S Pavone
- National Institute of Optics, National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Volker Deckert
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", Albert-Einstein-Strasse 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University, Helmholtzweg 4, 07743 Jena, Germany
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", Albert-Einstein-Strasse 9, 07745 Jena, Germany.,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller-University, Helmholtzweg 4, 07743 Jena, Germany
| | - Riccardo Cicchi
- National Institute of Optics, National Research Council (CNR-INO), Largo E. Fermi 6, 50125 Florence, Italy.,European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Christoph Krafft
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", Albert-Einstein-Strasse 9, 07745 Jena, Germany
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9
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Portable spectroscopy for high throughput food authenticity screening: Advancements in technology and integration into digital traceability systems. Trends Food Sci Technol 2021. [DOI: 10.1016/j.tifs.2021.11.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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10
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Korinth F, Shaik TA, Popp J, Krafft C. Assessment of shifted excitation Raman difference spectroscopy in highly fluorescent biological samples. Analyst 2021; 146:6760-6767. [PMID: 34704561 DOI: 10.1039/d1an01376a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Shifted excitation Raman difference spectroscopy (SERDS) can be used as an instrumental baseline correction technique to retrieve Raman bands in highly fluorescent samples. Genipin (GE) cross-linked equine pericardium (EP) was used as a model system since a blue pigment is formed upon cross-linking, which results in a strong fluorescent background in the Raman spectra. EP was cross-linked with 0.25% GE solution for 0.5 h, 2 h, 4 h, 6 h, 12 h, and 24 h, and compared with corresponding untreated EP. Raman spectra were collected with three different excitation wavelengths. For the assessment of the SERDS technique, the preprocessed SERDS spectra of two excitation wavelengths (784 nm-786 nm) were compared with the mathematical baseline-corrected Raman spectra at 785 nm excitation using extended multiplicative signal correction, rubberband, the sensitive nonlinear iterative peak and polynomial fitting algorithms. Whereas each baseline correction gave poor quality spectra beyond 6 h GE crosslinking with wave-like artefacts, the SERDS technique resulted in difference spectra, that gave superior reconstructed spectra with clear collagen and resonance enhanced GE pigment bands with lower standard deviation. Key for this progress was an advanced difference optimization approach that is described here. Furthermore, the results of the SERDS technique were independent of the intensity calibration because the system transfer response was compensated by calculating the difference spectrum. We conclude that this SERDS strategy can be transferred to Raman studies on biological and non-biological samples with a strong fluorescence background at 785 nm and also shorter excitation wavelengths which benefit from more intense scattering intensities and higher quantum efficiencies of CCD detectors.
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Affiliation(s)
- Florian Korinth
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", 07745 Jena, Germany. .,Leibniz Institute for Astrophysics Potsdam and Member of Leibniz Research Alliance "Health Technologies", 14482 Potsdam, Germany
| | - Tanveer Ahmed Shaik
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", 07745 Jena, Germany.
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", 07745 Jena, Germany. .,Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, 07743 Jena, Germany
| | - Christoph Krafft
- Leibniz Institute of Photonic Technology and Member of Leibniz Research Alliance "Health Technologies", 07745 Jena, Germany.
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11
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Korinth F, Schmälzlin E, Stiebing C, Urrutia T, Micheva G, Sandin C, Müller A, Maiwald M, Sumpf B, Krafft C, Tränkle G, Roth MM, Popp J. Wide Field Spectral Imaging with Shifted Excitation Raman Difference Spectroscopy Using the Nod and Shuffle Technique. SENSORS (BASEL, SWITZERLAND) 2020; 20:E6723. [PMID: 33255459 PMCID: PMC7727830 DOI: 10.3390/s20236723] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022]
Abstract
Wide field Raman imaging using the integral field spectroscopy approach was used as a fast, one shot imaging method for the simultaneous collection of all spectra composing a Raman image. For the suppression of autofluorescence and background signals such as room light, shifted excitation Raman difference spectroscopy (SERDS) was applied to remove background artifacts in Raman spectra. To reduce acquisition times in wide field SERDS imaging, we adapted the nod and shuffle technique from astrophysics and implemented it into a wide field SERDS imaging setup. In our adapted version, the nod corresponds to the change in excitation wavelength, whereas the shuffle corresponds to the shifting of charges up and down on a Charge-Coupled Device (CCD) chip synchronous to the change in excitation wavelength. We coupled this improved wide field SERDS imaging setup to diode lasers with 784.4/785.5 and 457.7/458.9 nm excitation and applied it to samples such as paracetamol and aspirin tablets, polystyrene and polymethyl methacrylate beads, as well as pork meat using multiple accumulations with acquisition times in the range of 50 to 200 ms. The results tackle two main challenges of SERDS imaging: gradual photobleaching changes the autofluorescence background, and multiple readouts of CCD detector prolong the acquisition time.
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Affiliation(s)
- Florian Korinth
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07743 Jena, Germany; (F.K.); (C.S.); (J.P.)
| | - Elmar Schmälzlin
- Leibniz Institute for Astrophysics Potsdam (AIP), Research Alliance “Health Technologies”, An der Sternwarte 16, 14482 Potsdam, Germany; (E.S.); (T.U.); (G.M.); (M.M.R.)
| | - Clara Stiebing
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07743 Jena, Germany; (F.K.); (C.S.); (J.P.)
| | - Tanya Urrutia
- Leibniz Institute for Astrophysics Potsdam (AIP), Research Alliance “Health Technologies”, An der Sternwarte 16, 14482 Potsdam, Germany; (E.S.); (T.U.); (G.M.); (M.M.R.)
| | - Genoveva Micheva
- Leibniz Institute for Astrophysics Potsdam (AIP), Research Alliance “Health Technologies”, An der Sternwarte 16, 14482 Potsdam, Germany; (E.S.); (T.U.); (G.M.); (M.M.R.)
| | - Christer Sandin
- Sandin Advanced Visualization, Tylögränd 14, 12156 Johanneshov, Sweden;
| | - André Müller
- Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Research Alliance “Health Technologies”, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany; (A.M.); (M.M.); (B.S.); (G.T.)
| | - Martin Maiwald
- Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Research Alliance “Health Technologies”, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany; (A.M.); (M.M.); (B.S.); (G.T.)
| | - Bernd Sumpf
- Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Research Alliance “Health Technologies”, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany; (A.M.); (M.M.); (B.S.); (G.T.)
| | - Christoph Krafft
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07743 Jena, Germany; (F.K.); (C.S.); (J.P.)
| | - Günther Tränkle
- Ferdinand-Braun-Institut, Leibniz-Institut für Höchstfrequenztechnik, Research Alliance “Health Technologies”, Gustav-Kirchhoff-Str. 4, 12489 Berlin, Germany; (A.M.); (M.M.); (B.S.); (G.T.)
| | - Martin M. Roth
- Leibniz Institute for Astrophysics Potsdam (AIP), Research Alliance “Health Technologies”, An der Sternwarte 16, 14482 Potsdam, Germany; (E.S.); (T.U.); (G.M.); (M.M.R.)
| | - Jürgen Popp
- Leibniz Institute of Photonic Technology (Leibniz IPHT), Research Alliance “Health Technologies”, Albert-Einstein-Straße 9, 07743 Jena, Germany; (F.K.); (C.S.); (J.P.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
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Beć KB, Grabska J, Huck CW. NIR spectroscopy of natural medicines supported by novel instrumentation and methods for data analysis and interpretation. J Pharm Biomed Anal 2020; 193:113686. [PMID: 33142115 DOI: 10.1016/j.jpba.2020.113686] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/07/2020] [Accepted: 10/09/2020] [Indexed: 01/01/2023]
Abstract
Near-infrared (NIR) spectroscopy is a powerful tool for qualitative and quantitative phytoanalysis. It is a rapid and high-throughput analytical method, with on-site capability, high chemical specificity, and no/minimal sample preparation. NIR spectroscopy is a powerful non-invasive and low-cost alternative with significant practical advantages compared to the conventional methods of analysis. These advantages are particularly exposed in the field of phytoanalysis. In contrast to synthetic medicines, natural products feature chemical diversity that can vary depending on the medicinal plant cultivation conditions, geographical origin or harvest time. The content of bioactive compounds and their derivatives, and thus, the quality parameters of the natural medicine need to be controlled with respect to a number of conditions. NIR spectroscopy has been proved to be particularly competitive in such difficult scenarios. In recent years, remarkable advances in the field of spectroscopic instrumentation and methods of analysis have appeared. Noteworthy was the appearance and dynamic continuing development of miniaturized, on-site capable NIR spectrometers. This was accompanied by application of new tools increasing the potential and reliability of NIR spectroscopy in phytoanalytical applications. The present review discussed the major principles of this technique and critically assesses its future application potential in phytoanalytical strategies. Major attention is given to the current development trends based on the most recent literature published in the field.
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Affiliation(s)
- Krzysztof B Beć
- Institute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University, Innrain 80/82, CCB-Center for Chemistry and Biomedicine, 6020, Innsbruck, Austria
| | - Justyna Grabska
- Institute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University, Innrain 80/82, CCB-Center for Chemistry and Biomedicine, 6020, Innsbruck, Austria
| | - Christian W Huck
- Institute of Analytical Chemistry and Radiochemistry, Leopold-Franzens University, Innrain 80/82, CCB-Center for Chemistry and Biomedicine, 6020, Innsbruck, Austria.
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