Raman spectroscopy and multivariate regression analysis in biomedical research, medical diagnosis, and clinical analysis

IF 5.4 2区 化学 Q1 INSTRUMENTS & INSTRUMENTATION
Noureen Siraj, David K. Bwambok, Pamela Brady, Megan E. Taylor, G. Baker, Mujeebat Bashiru, Samantha Macchi, Amanda Jalihal, Iris Denmark, Thuy Le, Brianda Elzey, David Pollard, S. O. Fakayode
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引用次数: 7

Abstract

Abstract High operational costs of modern medical devices and the required specialized, skilled personnel with certifications to operate most medical instrumentation remains a challenge and an impediment to rapid medical diagnosis and clinical analysis. The simplicity, portability, and ease of operation makes Raman spectrometers appealing for rapid medical diagnosis and clinical analysis at an affordable cost. Besides, the combined use of Raman spectroscopy and multivariate analyses has further facilitated effective pattern recognition providing accurate classification, and/or differentiation of biological and clinical samples. This review article highlights recent advances in Raman spectroscopy in medical diagnosis and clinical analysis between January 2018 and December 2020. Recent innovations in the use of Raman spectroscopy for chemical analysis in human specimens are discussed. Applications of Raman spectroscopy in cancer immunotherapy, cancer imaging, and detecting disease biomarkers in clinical samples are further highlighted. The review article highlights recent innovations in the use of Raman spectroscopy for the detection of various pathogens in human specimens. Moreover, recent innovations of combined uses of Raman spectroscopy and multivariate regression analyses for pattern recognition, and/or classification of clinical samples are discussed. Furthermore, insights into the projection in the use of Raman spectroscopy in medical diagnosis and clinical sample analysis are discussed.
拉曼光谱和多元回归分析在生物医学研究、医学诊断和临床分析中的应用
现代医疗设备的高运营成本和需要专业的、熟练的人员通过认证来操作大多数医疗仪器仍然是一个挑战,也是快速医疗诊断和临床分析的障碍。简单,便携性和易于操作使拉曼光谱仪以可承受的成本吸引快速医疗诊断和临床分析。此外,拉曼光谱和多变量分析的结合使用进一步促进了有效的模式识别,提供了准确的分类和/或区分生物和临床样本。本文综述了2018年1月至2020年12月拉曼光谱在医学诊断和临床分析中的最新进展。讨论了拉曼光谱用于人体化学分析的最新创新。进一步强调了拉曼光谱在癌症免疫治疗、癌症成像和临床样品中疾病生物标志物检测方面的应用。这篇综述文章强调了利用拉曼光谱检测人体标本中各种病原体的最新创新。此外,最近的创新结合使用拉曼光谱和多元回归分析模式识别,和/或临床样本的分类进行了讨论。此外,深入了解投影在使用拉曼光谱在医学诊断和临床样品分析进行了讨论。
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来源期刊
Applied Spectroscopy Reviews
Applied Spectroscopy Reviews 工程技术-光谱学
CiteScore
13.80
自引率
1.60%
发文量
23
审稿时长
1 months
期刊介绍: Applied Spectroscopy Reviews provides the latest information on the principles, methods, and applications of all the diverse branches of spectroscopy, from X-ray, infrared, Raman, atomic absorption, and ESR to microwave, mass, NQR, NMR, and ICP. This international, single-source journal presents discussions that relate physical concepts to chemical applications for chemists, physicists, and other scientists using spectroscopic techniques.
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