Literature DB >> 17718537

Raman spectroscopy-based metabolomics for differentiating exposures to triazole fungicides using rat urine.

Daniel P Cherney1, Drew R Ekman, David J Dix, Timothy W Collette.   

Abstract

Normal Raman spectroscopy was evaluated as a metabolomic tool for assessing the impacts of exposure to environmental contaminants, using rat urine collected during the course of a toxicological study. Specifically, one of three triazole fungicides, myclobutanil, propiconazole, or triadimefon, was administered daily via oral gavage to male Sprague-Dawley rats at doses of 300, 300, or 175 mg/kg, respectively. Urine was collected from all three treatment groups and also from vehicle control rats on day six, following five consecutive days of exposure. Spectra were acquired with a CCD-based dispersive Raman spectrometer, using 785-nm diode laser excitation. To optimize the signal-to-noise ratio, urine samples were filtered through a stirred ultrafiltration cell with a 500 nominal molecular weight limit filter to remove large, unwanted urine components that can degrade the spectrum via fluorescence. However, a subsequent investigation suggested that suitable spectra can be obtained in a high-throughput fashion, with little or no Raman-specific sample preparation. For the sake of comparison, a parallel 1H NMR-based metabolomic analysis was also conducted on the unfiltered samples. Results from multivariate data analysis demonstrated that the Raman method compares favorably with NMR in regard to the ability to differentiate responses from these three contaminants.

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Year:  2007        PMID: 17718537     DOI: 10.1021/ac070856n

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  3 in total

Review 1.  Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach.

Authors:  Salah Ali A Showiheen; Antonia RuJia Sun; Xiaoxin Wu; Ross Crawford; Yin Xiao; R Mark Wellard; Indira Prasadam
Journal:  Curr Rheumatol Rep       Date:  2019-05-06       Impact factor: 4.592

2.  Multivariate Analysis in Metabolomics.

Authors:  Bradley Worley; Robert Powers
Journal:  Curr Metabolomics       Date:  2013

3.  Metabolic characteristics revealing cell differentiation of nasopharyngeal carcinoma by combining NMR spectroscopy with Raman spectroscopy.

Authors:  Yang Chen; Zhong Chen; Ying Su; Donghong Lin; Min Chen; Shangyuan Feng; Changyan Zou
Journal:  Cancer Cell Int       Date:  2019-02-18       Impact factor: 5.722

  3 in total

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