Rapid detection of pure coconut oil adulteration with fried coconut oil using ATR-FTIR spectroscopy coupled with multivariate regression modelling
采用ATR-FTIR光谱法结合多元回归建模快速检测纯椰子油掺假
作者: AmitRahul JamwalShivani KumariSimon KellyAndrew CannavanDileep Kumar Singh
作者单位: 1Soil Microbial Ecology and Environmental Toxicology Laboratory, Department of Zoology, University of Delhi, New Delhi, Delhi, 110007, India
2Food and Environmental Protection Laboratory, International Atomic Energy Agency, Vienna International Centre, PO Box 100, 1400, Vienna, Austria
3Seibersdorf Laboratory, International Atomic Energy Agency, Vienna International Centre, PO Box 100, 1400, Vienna, Austria
刊名: LWT, 2020, Vol.125
来源数据库: Elsevier Journal
DOI: 10.1016/j.lwt.2020.109250
关键词: FTIRAdulterationFried coconut oilRegression modellingMultivariate
英文摘要: Abstract(#br)Attenuated total reflection- Fourier transform infrared (ATR-FTIR) spectroscopy along with multivariate regression modelling was utilized to develop the methodology for classification and quantification of refined, bleached and deodorized (RBD) pure coconut oil (PCO) from its adulterant RBD fried coconut oil (FCO). Principal component analysis (PCA) was applied on 3000-2800 cm −1 , and 1800-500 cm −1 and linear discriminant analysis (LDA) was used on selected 13 wavenumbers. Principal components regression (PCR) and Partial least squares regression (PLS-R) models were constructed and compared for normal, 1st, and 2nd derivatives. PLS-R model for the 1st derivative of 1800-500 cm −1 showed the best results for prediction with high precision and accuracy (RPD: 20.03, RE %:...
全文获取路径: Elsevier  (合作)
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影响因子:2.546 (2012)

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关键词翻译
关键词翻译
  • multivariate 多元
  • fried 油煎的
  • modelling 模型制造
  • regression 海退
  • adulteration 掺杂
  • coupled 耦合
  • coconut 椰子
  • FTIR Flight Test Instrumentation Requirements
  • spectroscopy 分光学
  • detection 探测