Vibrational Spectroscopy for Identification of Metabolites in Biologic Samples

被引:41
作者
Hackshaw, Kevin, V [1 ]
Miller, Joseph S. [2 ]
Aykas, Didem P. [3 ,4 ]
Rodriguez-Saona, Luis [3 ]
机构
[1] Univ Texas Austin, Dell Med Sch, Dept Internal Med, Div Rheumatol, 1601 Trinity St, Austin, TX 78712 USA
[2] Ohio Univ, Dept Med, Heritage Coll Osteopath Med, Dublin, OH 43016 USA
[3] Ohio State Univ, Dept Food Sci & Technol, Columbus, OH 43210 USA
[4] Adnan Menderes Univ, Fac Engn, Dept Food Engn, TR-09100 Aydin, Turkey
来源
MOLECULES | 2020年 / 25卷 / 20期
关键词
vibrational spectroscopy; Raman spectroscopy; infrared spectroscopy; fingerprinting; metabolites; spectroscopy; diagnostics; biofluid; biomarker; ENHANCED RAMAN-SPECTROSCOPY; HUMAN TEAR FLUID; TRANSFORM INFRARED-SPECTROSCOPY; LABEL-FREE DETECTION; CEREBROSPINAL-FLUID; FTIR SPECTROSCOPY; BREAST-CANCER; IN-VIVO; TISSUE COLLECTION; DIAGNOSTIC-TOOL;
D O I
10.3390/molecules25204725
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Vibrational spectroscopy (mid-infrared (IR) and Raman) and its fingerprinting capabilities offer rapid, high-throughput, and non-destructive analysis of a wide range of sample types producing a characteristic chemical "fingerprint" with a unique signature profile. Nuclear magnetic resonance (NMR) spectroscopy and an array of mass spectrometry (MS) techniques provide selectivity and specificity for screening metabolites, but demand costly instrumentation, complex sample pretreatment, are labor-intensive, require well-trained technicians to operate the instrumentation, and are less amenable for implementation in clinics. The potential for vibration spectroscopy techniques to be brought to the bedside gives hope for huge cost savings and potential revolutionary advances in diagnostics in the clinic. We discuss the utilization of current vibrational spectroscopy methodologies on biologic samples as an avenue towards rapid cost saving diagnostics.
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页数:23
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共 153 条
  • [61] Broadband Infrared Spectroscopy for Non-Contact Measurement of Neurological Disease Biomarkers in Cerebrospinal Fluid
    Horosh, Michael
    Feldman, Haim
    Yablonovich, Avi
    Firer, Michael A.
    Abookasis, David
    [J]. APPLIED SPECTROSCOPY, 2017, 71 (03) : 496 - 506
  • [62] Search for biomarkers of Alzheimer's disease: Recent insights, current challenges and future prospects
    Hrubesova, Katerina
    Fouskova, Marketa
    Habartova, Lucie
    Fisar, Zdenek
    Jirak, Roman
    Raboch, Jiri
    Setnicka, Vladimir
    [J]. CLINICAL BIOCHEMISTRY, 2019, 72 : 39 - 51
  • [63] Near-infrared Raman spectroscopy for optical diagnosis of lung cancer
    Huang, ZW
    McWilliams, A
    Lui, H
    McLean, DI
    Lam, S
    Zeng, HS
    [J]. INTERNATIONAL JOURNAL OF CANCER, 2003, 107 (06) : 1047 - 1052
  • [64] Recent Developments in Sweat Analysis and Its Applications
    Jadoon, Saima
    Karim, Sabiha
    Akram, Muhammad Rouf
    Khan, Abida Kalsoom
    Zia, Muhammad Abid
    Siddiqi, Abdul Rauf
    Murtaza, Ghulam
    [J]. INTERNATIONAL JOURNAL OF ANALYTICAL CHEMISTRY, 2015, 2015
  • [65] New method for faecal fat determination by mid-infrared spectroscopy, using a transmission cell: an improvement in standardization
    Jakobs, BS
    Volmer, M
    Swinkels, DW
    Hofs, MTW
    Donkervoort, S
    Joosting, MMJ
    Wolthers, BG
    de Peinder, P
    Voorbij, HAM
    [J]. ANNALS OF CLINICAL BIOCHEMISTRY, 2000, 37 : 343 - 349
  • [66] Intraoperative brain cancer detection with Raman spectroscopy in humans
    Jermyn, Michael
    Mok, Kelvin
    Mercier, Jeanne
    Desroches, Joannie
    Pichette, Julien
    Saint-Arnaud, Karl
    Bernstein, Liane
    Guiot, Marie-Christine
    Petrecca, Kevin
    Leblond, Frederic
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2015, 7 (274)
  • [67] Using an Isolated Rat Kidney Model to Identify Kidney Origin Proteins in Urine
    Jia, Lulu
    Li, Xundou
    Shao, Chen
    Wei, Lilong
    Li, Menglin
    Guo, Zhengguang
    Liu, Zhihong
    Gao, Youhe
    [J]. PLOS ONE, 2013, 8 (06):
  • [68] Jing J, 2018, DISCOV MED, V25, P57
  • [69] Raman Techniques: Fundamentals and Frontiers
    Jones, Robin R.
    Hooper, David C.
    Zhang, Liwu
    Wolverson, Daniel
    Valev, Ventsislav K.
    [J]. NANOSCALE RESEARCH LETTERS, 2019, 14 (1):
  • [70] Intelligent classification of cervical pre-cancerous cells based on the FTIR spectra
    Jusman, Yessi
    Isa, Nor Ashidi Mat
    Adnan, Rohana
    Othman, Nor Hayati
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2012, 3 (01) : 61 - 70