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Nascimento ALF, de Medeiros AGJ, Neves ACO, de Macedo ABN, Rossato L, Assis Santos D, dos Santos ALS, Lima KMG, Bastos RW. Near-infrared spectroscopy and multivariate analysis as effective, fast, and cost-effective methods to discriminate Candida auris from Candida haemulonii. Front Chem 2024; 12:1412288. [PMID: 39050373 PMCID: PMC11266292 DOI: 10.3389/fchem.2024.1412288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/10/2024] [Indexed: 07/27/2024] Open
Abstract
Candida auris and Candida haemulonii are two emerging opportunistic pathogens that have caused an increase in clinical cases in the recent years worldwide. The differentiation of some Candida species is highly laborious, difficult, costly, and time-consuming depending on the similarity between the species. Thus, this study aimed to develop a new, faster, and less expensive methodology for differentiating between C. auris and C. haemulonii based on near-infrared (NIR) spectroscopy and multivariate analysis. C. auris CBS10913 and C. haemulonii CH02 were separated in 15 plates per species, and three isolated colonies of each plate were selected for Fourier transform near-infrared (FT-NIR) analysis, totaling 90 spectra. Subsequently, principal component analysis (PCA) and variable selection algorithms, including the successive projections algorithm (SPA) and genetic algorithm (GA) coupled with linear discriminant analysis (LDA), were employed to discern distinctive patterns among the samples. The use of PCA, SPA, and GA algorithms associated with LDA achieved 100% sensitivity and specificity for the discriminations. The SPA-LDA and GA-LDA algorithms were essential in selecting the variables (infrared wavelengths) of most importance for the models, which could be attributed to binding of cell wall structures such as polysaccharides, peptides, proteins, or molecules resulting from yeasts' metabolism. These results show the high potential of combined FT-NIR and multivariate analysis techniques for the classification of Candida-like fungi, which can contribute to faster and more effective diagnosis and treatment of patients affected by these microorganisms.
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Affiliation(s)
- Ayrton L. F. Nascimento
- Laboratório de Química Biológica e Quimiometria, Instituto de Química, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Anthony G. J. de Medeiros
- Laboratório de Uso Comum, Centro de Biociências, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Ana C. O. Neves
- Laboratório de Química Biológica e Quimiometria, Instituto de Química, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Ana B. N. de Macedo
- Laboratório de Uso Comum, Centro de Biociências, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Luana Rossato
- Laboratório de Pesquisa em Ciências da Saúde, Universidade Federal da Grande Dourados, Dourados, Brazil
| | - Daniel Assis Santos
- Laboratório de Micologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- National Institute of Science and Technology in Human Pathogenic Fungi, Ribeirão Preto, Brazil
| | - André L. S. dos Santos
- Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ, Brazil
| | - Kássio M. G. Lima
- Laboratório de Química Biológica e Quimiometria, Instituto de Química, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Rafael W. Bastos
- Laboratório de Uso Comum, Centro de Biociências, Universidade Federal do Rio Grande do Norte, Natal, Brazil
- National Institute of Science and Technology in Human Pathogenic Fungi, Ribeirão Preto, Brazil
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Tugrul F, Akin Geyik G, Yalinbaş Kaya B, Peker Cengiz B, Karuk Elmas SN, Yilmaz I, Arslan FN. A biospectroscopic approach toward colorectal cancer diagnosis from bodily fluid samples via ATR-MIR spectroscopy combined with multivariate data analysis. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 304:123342. [PMID: 37688884 DOI: 10.1016/j.saa.2023.123342] [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: 04/28/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/11/2023]
Abstract
In this study, a biospectroscopic approach was reported for the detection of spectral changes and biomarkers for the diagnosis of colorectal cancer (CC) cases from different bodily fluids (blood plasma, blood serum, saliva and colonoscopy disinfection/wash fluids) by using attenuated total reflection-mid infrared (ATR-MIR) spectroscopy. To recognize the molecular level changes in the spectral characteristics of CC and their healthy/control (CH) groups, different multivariate data analyses (HCA, LDA, PCA and SIMCA) were successfully performed over the data of ATR-MIR spectroscopy. Two hundred specimens were characterized in detail over the data of spectral regions (4000-650 cm-1 and regions V-XXII). The findings revealed that significant changes were clearly observed in the concentrations of lipid, protein, nucleic acid and carbohydrate biomolecules for cancer cases based upon their necessity to overcome energy requirements. Supervised multivariate data methodology SIMCA, presented an excellent classification for the studied groups; similarly 100% of the specimens from different bodily fluids were correctly classified by supervised methodology LDA. As a result, the developed ATR-MIR methodology for the classification of CC and their healthy groups highlighted a rapid cancer diagnosis approach from different bodily fluids; therefore, it could be guide to make well decision before histopathological assessment and to screen CC populations existing in society.
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Affiliation(s)
- Fuzuli Tugrul
- Eskişehir City Hospital, Clinic of Radiation Oncology, 26080 Eskisehir, Turkey
| | - Gonul Akin Geyik
- Karamanoglu Mehmetbey University, K.O. Science Faculty, Department of Chemistry, 70100 Karaman, Turkey
| | | | - Betul Peker Cengiz
- Eskişehir Yunus Emre State Hospital, Clinic of Medical Pathology, 26190 Eskisehir, Turkey
| | - Sukriye Nihan Karuk Elmas
- Karamanoglu Mehmetbey University, K.O. Science Faculty, Department of Chemistry, 70100 Karaman, Turkey; Istanbul University-Cerrahpaşa, Pharmacy Faculty, Department of Analytical Chemistry, 34500 Istanbul, Turkey
| | - Ibrahim Yilmaz
- Karamanoglu Mehmetbey University, K.O. Science Faculty, Department of Chemistry, 70100 Karaman, Turkey.
| | - Fatma Nur Arslan
- Karamanoglu Mehmetbey University, K.O. Science Faculty, Department of Chemistry, 70100 Karaman, Turkey.
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The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery. Diagnostics (Basel) 2022; 13:diagnostics13010022. [PMID: 36611313 PMCID: PMC9818376 DOI: 10.3390/diagnostics13010022] [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: 11/01/2022] [Revised: 12/01/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
In conjunction with imaging analysis, pathology-based assessments of biopsied tissue are the gold standard for diagnosing solid tumors. However, the disadvantages of tissue biopsies, such as being invasive, time-consuming, and labor-intensive, have urged the development of an alternate method, liquid biopsy, that involves sampling and clinical assessment of various bodily fluids for cancer diagnosis. Meanwhile, extracellular vesicles (EVs) are circulating biomarkers that carry molecular profiles of their cell or tissue origins and have emerged as one of the most promising biomarkers for cancer. Owing to the biological information that can be obtained through EVs' membrane surface markers and their cargo loaded with biomolecules such as nucleic acids, proteins, and lipids, EVs have become useful in cancer diagnosis and therapeutic applications. Fourier-transform infrared spectroscopy (FTIR) allows rapid, non-destructive, label-free molecular profiling of EVs with minimal sample preparation. Since the heterogeneity of EV subpopulations may result in complicated FTIR spectra that are highly diverse, computational-assisted FTIR spectroscopy is employed in many studies to provide fingerprint spectra of malignant and non-malignant samples, allowing classification with high accuracy, specificity, and sensitivity. In view of this, FTIR-EV approach carries a great potential in cancer detection. The progression of FTIR-based biomarker identification in EV research, the rationale of the integration of a computationally assisted approach, along with the challenges of clinical translation are the focus of this review.
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Akin Geyik G, Peker Cengiz B, Tugrul F, Karuk Elmas SN, Yilmaz I, Arslan FN. A rapid diagnostic approach for gastric and colon cancers via Fourier transform mid-infrared spectroscopy coupled with chemometrics from paraffin-embedded tissues. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 267:120619. [PMID: 34810101 DOI: 10.1016/j.saa.2021.120619] [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: 08/17/2021] [Revised: 10/10/2021] [Accepted: 11/09/2021] [Indexed: 06/13/2023]
Abstract
This paper describes the feasibility of Attenuated total reflection-Fourier transform mid-infrared (ATR-MIR) spectroscopy method coupled with chemometrics for the rapid diagnostic approach and screening spectral changes for gastric and colon cancers from paraffin-embedded tissues. A total number of 82 tissue samples were analyzed by a simple ATR-MIR method combined with PCA, HCA, SIMCA and LDA methodologies. Spectral analyses showed significant differences for the molecular contents particularly about the lipid, nucleic acid, protein and other biomolecules in the samples of gastric cancer (GC) and colon cancer (CC) groups from their control/healthy groups. Significant changes in the characteristic of these molecules were only observed for cancer groups based upon the increment in their biosynthesis, and they could be utilized as diagnostic spectral biomarkers. Under the optimum conditions, SIMCA provided excellent classification for diseased and control groups, with 5% significance level. As well, 97.75% of the studied tissue samples were correctly discriminated on the basis of their origin by LDA. Consequently, the findings of this study highlighted the rapid diagnosis of gastric and colon cancer cases from paraffin-embedded tissues via ATR-MIR spectroscopy complemented with chemometrics.
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Affiliation(s)
- Gonul Akin Geyik
- Department of Chemistry, Faculty of Science, University of Karamanoglu Mehmetbey, 70100 Karaman, Turkey
| | - Betul Peker Cengiz
- Clinic of Medical Pathology, Eskişehir Yunus Emre State Hospital, 26190 Eskisehir, Turkey
| | - Fuzuli Tugrul
- Clinic of Radiation Oncology, Eskişehir City Hospital, 26080 Eskisehir, Turkey
| | - Sukriye Nihan Karuk Elmas
- Department of Chemistry, Faculty of Science, University of Karamanoglu Mehmetbey, 70100 Karaman, Turkey
| | - Ibrahim Yilmaz
- Department of Chemistry, Faculty of Science, University of Karamanoglu Mehmetbey, 70100 Karaman, Turkey.
| | - Fatma Nur Arslan
- Department of Chemistry, Faculty of Science, University of Karamanoglu Mehmetbey, 70100 Karaman, Turkey.
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Larios G, Ribeiro M, Arruda C, Oliveira SL, Canassa T, Baker MJ, Marangoni B, Ramos C, Cena C. A new strategy for canine visceral leishmaniasis diagnosis based on FTIR spectroscopy and machine learning. JOURNAL OF BIOPHOTONICS 2021; 14:e202100141. [PMID: 34423902 DOI: 10.1002/jbio.202100141] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/17/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
Visceral leishmaniasis is a neglected disease caused by protozoan parasites of the genus Leishmania. The successful control of the disease depends on its accurate and early diagnosis, which is usually made by combining clinical symptoms with laboratory tests such as serological, parasitological, and molecular tests. However, early diagnosis based on serological tests may exhibit low accuracy due to lack of specificity caused by cross-reactivities with other pathogens, and sensitivity issues related, among other reasons, to disease stage, leading to misdiagnosis. In this study was investigated the use of mid-infrared spectroscopy and multivariate analysis to perform a fast, accurate, and easy canine visceral leishmaniasis diagnosis. Canine blood sera of 20 noninfected, 20 Leishmania infantum, and eight Trypanosoma evansi infected dogs were studied. The data demonstrate that principal component analysis with machine learning algorithms achieved an overall accuracy above 85% in the diagnosis.
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Affiliation(s)
- Gustavo Larios
- Grupo de Óptica e Fotônica, Instituto de Física, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Matheus Ribeiro
- Grupo de Óptica e Fotônica, Instituto de Física, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Carla Arruda
- Laboratório de Parasitologia Humana, Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Samuel L Oliveira
- Grupo de Óptica e Fotônica, Instituto de Física, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Thalita Canassa
- Grupo de Óptica e Fotônica, Instituto de Física, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Matthew J Baker
- Pure and Applied Chemistry, University of Stratchclyde, Technology and Innovation Centre, Glasgow, UK
| | - Bruno Marangoni
- Grupo de Óptica e Fotônica, Instituto de Física, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Carlos Ramos
- Faculdade de Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
| | - Cícero Cena
- Grupo de Óptica e Fotônica, Instituto de Física, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
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Luo Y, Liu H, Wu C, Paraskevaidi M, Deng Y, Shi W, Yuan Y, Feng R, Martin FL, Pang W. Diagnostic segregation of human breast tumours using Fourier-transform infrared spectroscopy coupled with multivariate analysis: Classifying cancer subtypes. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 255:119694. [PMID: 33799187 DOI: 10.1016/j.saa.2021.119694] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/01/2021] [Accepted: 03/07/2021] [Indexed: 06/12/2023]
Abstract
The present study aimed to investigate whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy coupled with multivariate analysis could be applied to discriminate and classify among breast tumour molecular subtypes based on the unique spectral "fingerprints" of their biochemical composition. The different breast cancer tissues and normal breast tissues were collected and identified by pathology and ATR-FTIR spectroscopy respectively. The study indicates that the levels of the lipid-to-protein, nucleic acid-to-lipid, phosphate-to-carbohydrate and their secondary structure ratio, including RNA-to-DNA, Amide I-to-Amide II, and RNA-to-lipid ratios were significantly altered among the molecular subtype of breast tumour compared with normal breast tissues, which helps explain the changes in the biochemical structure of different molecular phenotypes of breast cancer. Tentatively-assigned characteristic peak ratios of infrared (IR) spectra reflect the changes of the macromolecule structure in different issues to a great extent and can be used as a potential biomarker to predict the molecular subtype of breast tumour. The present study acts as the first case study to show the successful application of IR spectroscopy in classifying subtypes of breast cancer with biochemical alterations. Therefore, the present study is likely to help to provide a new diagnostic approach for the accurate diagnosis of breast tumours and differential molecular subtypes and has the potential to be used for further intraoperative management.
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Affiliation(s)
- Youhong Luo
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Hui Liu
- School of Public Health, Guilin Medical University, Guilin, Guangxi, PR China
| | - Chunye Wu
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Maria Paraskevaidi
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK; School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK
| | - Yujie Deng
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Wenjie Shi
- Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | - Ye Yuan
- School of Basic Medical Sciences, Guilin Medical University, Guilin, Guangxi, PR China
| | - Ruifa Feng
- The Second Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, PR China
| | | | - Weiyi Pang
- School of Public Health, Guilin Medical University, Guilin, Guangxi, PR China.
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Theakstone AG, Rinaldi C, Butler HJ, Cameron JM, Confield LR, Rutherford SH, Sala A, Sangamnerkar S, Baker MJ. Fourier‐transform infrared spectroscopy of biofluids: A practical approach. TRANSLATIONAL BIOPHOTONICS 2021. [DOI: 10.1002/tbio.202000025] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Affiliation(s)
- Ashton G. Theakstone
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | - Christopher Rinaldi
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | | | | | - Lily Rose Confield
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
- CDT Medical Devices, Department of Biomedical Engineering Wolfson Centre Glasgow UK
| | - Samantha H. Rutherford
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | - Alexandra Sala
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
- ClinSpec Diagnostics Ltd, Royal College Building Glasgow UK
| | - Sayali Sangamnerkar
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
| | - Matthew J. Baker
- WestCHEM, Department of Pure and Applied Chemistry Technology and Innovation Centre Glasgow UK
- ClinSpec Diagnostics Ltd, Royal College Building Glasgow UK
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Spectrochemical analysis of liquid biopsy harnessed to multivariate analysis towards breast cancer screening. Sci Rep 2020; 10:12818. [PMID: 32733086 PMCID: PMC7393361 DOI: 10.1038/s41598-020-69800-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 06/17/2020] [Indexed: 12/13/2022] Open
Abstract
Mortality due to breast cancer could be reduced via screening programs where preliminary clinical tests employed in an asymptomatic well-population with the objective of identifying cancer biomarkers could allow earlier referral of women with altered results for deeper clinical analysis and treatment. The introduction of well-population screening using new and less-invasive technologies as a strategy for earlier detection of breast cancer is thus highly desirable. Herein, spectrochemical analyses harnessed to multivariate classification techniques are used as a bio-analytical tool for a Breast Cancer Screening Program using liquid biopsy in the form of blood plasma samples collected from 476 patients recruited over a 2-year period. This methodology is based on acquiring and analysing the spectrochemical fingerprint of plasma samples by attenuated total reflection Fourier-transform infrared spectroscopy; derived spectra reflect intrinsic biochemical composition, generating information on nucleic acids, carbohydrates, lipids and proteins. Excellent results in terms of sensitivity (94%) and specificity (91%) were obtained using this method in comparison with traditional mammography (88-93% and 85-94%, respectively). Additional advantages such as better disease prognosis thus allowing a more effective treatment, lower associated morbidity, fewer false-positive and false-negative results, lower-cost, and higher analytical frequency make this method attractive for translation to the clinical setting.
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Sharma S, Singh R. Detection and discrimination of seminal fluid using attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy combined with chemometrics. Int J Legal Med 2019; 134:411-432. [PMID: 31814056 DOI: 10.1007/s00414-019-02222-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/27/2019] [Indexed: 12/31/2022]
Abstract
Semen is most frequently encountered body fluid in forensic cases apart from blood especially in sexual assault cases. The presence and absence of semen can help in conviction or exoneration of a suspect by either confirming or refuting the claims put forward by the suspect and the victim. However, in the wake of limited studies on non-destructive and rapid analysis of semen, it is fairly difficult. Therefore, it is an increasing demand to pioneer the application of available analytical methods in such manner that non-destructive, automated, rapid, and reliable identification and discrimination of body fluids can be established. In the present study, such a methodological application of attenuated total reflectance Fourier transform infrared (ATR FT-IR) spectroscopy has been put forward as one of the initial steps towards the identification and discrimination/classification of seminal fluid from vaginal fluid and other human biological as well as non-biological look-alike semen substances using chemometric tools which are principal component analysis (PCA), partial least square regression (PLSR), and linear discriminant analysis (LDA). Effect of other simulated factors such as substrate interference, mixing with other body fluids, dilutions, and washing and chemical treatments to the samples has been studied. PCA resulted in 98.8% of accuracy for the discrimination of seminal fluid from vaginal fluid whilst 100% accuracy was obtained using LDA method. One hundred percent discrimination was achieved to discriminate semen from other biological fluids using PLSR and LDA, and from non-biological substances using PCA-LDA models. Furthermore, results of the effect of substrates, chemical treatment, mixing with vaginal secretions, and dilution have also been described.
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Affiliation(s)
- Sweety Sharma
- Department of Forensic Science, Punjabi University, Patiala, Punjab, 147002, India
| | - Rajinder Singh
- Department of Forensic Science, Punjabi University, Patiala, Punjab, 147002, India.
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Abstract
Fourier transform-infrared spectroscopy (FT-IR) represents an attractive molecular diagnostic modality for translation to the clinic, where comprehensive chemical profiling of biological samples may revolutionize a myriad of pathways in clinical settings. Principally, FT-IR provides a rapid, cost-effective platform to obtain a molecular fingerprint of clinical samples based on vibrational transitions of chemical bonds upon interaction with infrared light. To date, considerable research activities have demonstrated competitive to superior performance of FT-IR strategies in comparison to conventional techniques, with particular promise for earlier, accessible disease diagnostics, thereby improving patient outcomes. However, amidst the changing healthcare landscape in times of aging populations and increased prevalence of cancer and chronic disease, routine adoption of FT-IR within clinical laboratories has remained elusive. Hence, this perspective shall outline the significant clinical potential of FT-IR diagnostics and subsequently address current barriers to translation from the perspective of all stakeholders, in the context of biofluid, histopathology, cytology, microbiology, and biomarker discovery frameworks. Thereafter, future perspectives of FT-IR for healthcare will be discussed, with consideration of recent technological advances that may facilitate future clinical translation.
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Affiliation(s)
- Duncan Finlayson
- Centre for Doctoral Training in Medical Devices and Health Technologies, Department of Biomedical Engineering , University of Strathclyde , Wolfson Centre, 106 Rottenrow , Glasgow G4 0NW , U.K.,WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K
| | - Christopher Rinaldi
- Centre for Doctoral Training in Medical Devices and Health Technologies, Department of Biomedical Engineering , University of Strathclyde , Wolfson Centre, 106 Rottenrow , Glasgow G4 0NW , U.K.,WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K
| | - Matthew J Baker
- WestCHEM , Department of Pure and Applied Chemistry , Technology and Innovation Centre, 99 George Street , Glasgow G1 1RD , U.K.,ClinSpec Diagnostics Ltd. , Technology and Innovation Centre, 99 George Street , Glasgow G11RD , U.K
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Balan V, Mihai CT, Cojocaru FD, Uritu CM, Dodi G, Botezat D, Gardikiotis I. Vibrational Spectroscopy Fingerprinting in Medicine: from Molecular to Clinical Practice. MATERIALS (BASEL, SWITZERLAND) 2019; 12:E2884. [PMID: 31489927 PMCID: PMC6766044 DOI: 10.3390/ma12182884] [Citation(s) in RCA: 162] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 09/01/2019] [Accepted: 09/03/2019] [Indexed: 12/12/2022]
Abstract
In the last two decades, Fourier Transform Infrared (FTIR) and Raman spectroscopies turn out to be valuable tools, capable of providing fingerprint-type information on the composition and structural conformation of specific molecular species. Vibrational spectroscopy's multiple features, namely highly sensitive to changes at the molecular level, noninvasive, nondestructive, reagent-free, and waste-free analysis, illustrate the potential in biomedical field. In light of this, the current work features recent data and major trends in spectroscopic analyses going from in vivo measurements up to ex vivo extracted and processed materials. The ability to offer insights into the structural variations underpinning pathogenesis of diseases could provide a platform for disease diagnosis and therapy effectiveness evaluation as a future standard clinical tool.
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Affiliation(s)
- Vera Balan
- Faculty of Medical Bioengineering, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Cosmin-Teodor Mihai
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Florina-Daniela Cojocaru
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Cristina-Mariana Uritu
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Gianina Dodi
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Doru Botezat
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania.
| | - Ioannis Gardikiotis
- Advanced Centre for Research-Development in Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iași, Iași 700115, Romania
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