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Proceedings Paper

Quantitative detection of buffalo milk adulteration with cow milk using Fourier transform near infrared spectroscopy
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Paper Abstract

A near infrared (NIR) spectroscopy model was used to quantitatively detect buffalo milk adulteration with cow milk. Pasteurized buffalo milk samples were purchased from a dairy farm and from a local supermarket. Adulterated milk samples were prepared with ratio of cow milk to buffalo milk at 9 levels of 10:90, 20:80, 30:70, 40:60, 50:50, 60:40, 70:30, 80:20 and 90:10 wt%. Spectra of pure buffalo milk, pure cow milk and adulterated milk samples were recorded by a Fourier transform NIR spectrometer in the wavenumber range of 12500-4000 cm-1 with resolution of 8 cm-1 . A NIR spectroscopy quantitative model was developed with partial least square (PLS) regression. The NIR spectroscopy model showed ability to detect adulterated milk as follows: Rval2 = 0.998, RMSEP = 2.121 wt%, Bias = -0.396 wt% and RPD = 18.1. NIR spectroscopy coupled with PLS algorithm was shown to be an alternative technique to detect buffalo milk adulteration with cow milk in the global dairy industry.

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 1120516 (16 October 2019); doi: 10.1117/12.2541840
Show Author Affiliations
Ravipat Lapcharoensuk, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Jirapad Chaiyanate, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Supakit Winichai, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Achiraya Phetnak, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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