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• W3036505265 endingPage "118628" @default.
• W3036505265 startingPage "118628" @default.
• W3036505265 abstract "Adulteration of milk to gain economic benefit has become a common practice in recent years. Sucrose is illegally added in milk to reconstitute its compositional requirement by improving the total solid contents. The present study is aimed to use FTIR spectroscopy in combination with multivariate chemometric modelling for the differentiation and quantification of sucrose in cow milk. Pure milk and adulterated milk spectra (0.5–7.5% w / v ) were observed in the spectral region 4000–400 cm −1 . Principal component analysis (PCA) was used for the discrimination of pure milk and adulterated milk. Soft independent modelling of class analogy (SIMCA) was able to classify test samples with a classification efficiency of 100%. Partial least square regression (PLS-R) and principle component regression (PCR) models were established for normal spectra, 1st derivative and 2nd derivative for the quantification of sucrose in milk. PLS-R model (normal spectra) in the combined wavenumber range of 1070–980 cm −1 showed the best prediction based on parameters like coefficient of determination (R 2 ) (Cal: 0.996; Val: 0.993), RMSE (Cal: 0.15% w / v ; Val: 0.20% w / v ), RE% (Cal: 4.9% w/v ; Val: 5.1% w/v ) and RPD (13.40). This method has a detection level of 0.5% w/v sucrose adulteration. • Detection of sucrose adulteration in milk using FTIR spectroscopy and chemometrics • PCA and SIMCA model successfully discriminated sucrose adulterated milk from pure milk • PLSR model for normal spectra provided excellent results to quantify sucrose adulterations. • This technique is simple, non-destructive, quick and needs minimal samples preparation." @default.
• W3036505265 created "2020-06-25" @default.
• W3036505265 creator A5014705599 @default.
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• W3036505265 date "2020-10-01" @default.
• W3036505265 modified "2023-10-14" @default.
• W3036505265 title "Rapid detection and quantification of sucrose adulteration in cow milk using Attenuated total reflectance-Fourier transform infrared spectroscopy coupled with multivariate analysis" @default.
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• W3036505265 doi "https://doi.org/10.1016/j.saa.2020.118628" @default.
• W3036505265 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32599485" @default.
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