Quantitative detection of buffalo milk adulteration with cow milk using Fourier transform near infrared spectroscopy
| dc.contributor.author | Lapcharoensuk, Ravipat | |
| dc.contributor.author | Chaiyanate, Jirapad | |
| dc.contributor.author | Winichai, Supakit | |
| dc.contributor.author | Phetnak, Achiraya | |
| dc.date.accessioned | 2026-08-06T10:22:54Z | |
| dc.date.available | 2026-08-06T10:22:54Z | |
| dc.date.issued | 2019-01-01 | |
| dc.description.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<sup>-1</sup> with resolution of 8 cm<sup>-1</sup>. 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: R<inf>val</inf><sup>2</sup> = 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. | |
| dc.identifier.citation | Proceedings of SPIE the International Society for Optical Engineering, 11205, 2019 | |
| dc.identifier.doi | 10.1117/12.2541840 | |
| dc.identifier.issn | 0277786X | |
| dc.identifier.other | 2-s2.0-85077276657 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/9406 | |
| dc.source | Proceedings of SPIE the International Society for Optical Engineering | |
| dc.subject | Adulteration | |
| dc.subject | Buffalo milk | |
| dc.subject | Cow milk | |
| dc.subject | Near infrared spectroscopy | |
| dc.subject | Partial least square regression | |
| dc.title | Quantitative detection of buffalo milk adulteration with cow milk using Fourier transform near infrared spectroscopy | |
| dc.type | Conference Paper |
