A Non-destructive method to assess freshness of raw bovine milk using FT-NIR spectroscopy.

Content Provider	Europe PMC
Author	Wang, Yanwen Ding, Wu Kou, Liping Li, Liang Wang, Chen Jurick, Wayne M.
Abstract	A non-destructive method to analyze the freshness of raw milk was developed using a FT-NIR spectrometer and a fiber optic probe. Diffuse transmittance spectra were acquired in the spectral range 833 ~ 2,500 nm from raw milk samples collected from Northwest A&F University Animal Husbandry Station. After each spectral acquisition, quality parameters such as acidity, pH, and lactose content were measured by traditional detection methods. For all milk samples, PLS (partial least square regression), MLR (multiple linear regression), and ANN (artificial neural networks) analyses were carried out in order to develop models to predict parameters that were indicative of freshness. Predictive models showed R2 values up to 0.9647, 0.9876 and 0.8772 for acidity, pH, and lactose content, respectively (validation set validations). The similarity analysis and classification between raw milk freshness during storage was also conducted by means of hierarchical cluster analysis. Over an 8 day storage period, the highest heterogeneity was evident between days 1 and 2.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4519485&blobtype=pdf
ISSN	00221155
Volume Number	52
DOI	10.1007/s13197-014-1574-5
PubMed Central reference number	PMC4519485
Issue Number	8
PubMed reference number	26243957
Journal	Journal of Food Science and Technology [J Food Sci Technol]
e-ISSN	09758402
Language	English
Publisher	Springer India
Publisher Date	2014-09-23
Publisher Place	New Delhi
Access Restriction	Open
Rights License	© Association of Food Scientists & Technologists (India) 2014
Subject Keyword	Non-destructive evaluation Raw milk Freshness assessment FT-NIR
Content Type	Text
Resource Type	Article
Subject	Food Science