کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1199653 1493542 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An untargeted gas chromatography mass spectrometry metabolomics platform for marine polychaetes
ترجمه فارسی عنوان
یک پلت فرم متابولومموس جرمی جرم کروماتوگرافی گاز غیر هدفمند برای پشه های دریایی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• A preliminary study of N. virens for monitoring oil hydrocarbon contamination is performed.
• A novel protocol for pGC–MS and XCMS for untargeted environmental metabolomics is proposed.
• Selection of two-step extraction protocol with 80:20 (v/v) methanol:water on freeze dried polychaete.
• Separation between crude oil exposed and unexposed polychaetes was achieved.

The development of an appropriate extraction method for untargeted environmental metabolomic analysis of marine polychaetes could promote their use for environmental monitoring purposes. To this end, we compared four extraction methods on the marine polychaete Nereis virens both exposed to crude oil and non-exposed. XCMS was used for feature detection and preprocessing; different normalization and scaling approaches were tested; and principal component analysis (PCA) was used together with basic statistical tests to ascertain common metabolic patterns and determine the most suitable extraction method. We conclude that a two-step extraction procedure with 80:20 (v/v) methanol:water on freeze dried polychaete tissue provides the best trade-off between analysis time, and extraction efficiency and intermediate reproducibility. No definitive conclusions could be drawn about the ability of the method to discriminate controls and crude oils in actual biological replicates because the experiment was carried out by design on analytical replicates only. We show that the normalization to the sum of all the common features, and the use of a weighted least squares criterion to fit the PCA by means of scaling to the median absolute deviation (MAD) of the pooled quality control samples significantly improved the clustering of controls and crude oil exposed samples. The scaling alone led to an increase of 19% in explained variance compared to ordinary PCA.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Chromatography A - Volume 1384, 6 March 2015, Pages 133–141
نویسندگان
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