Visible-near infrared spectroscopy sensor for predicting curd and whey composition during cheese processing

Fagan, C. C. ORCID: https://orcid.org/0000-0002-2101-8694, Castillo, M., O'Callaghan, D. J., Payne, F. A. and O'Donnell, C. P. (2009) Visible-near infrared spectroscopy sensor for predicting curd and whey composition during cheese processing. Sensing and Instrumentation for Food Quality and Safety, 3 (1). pp. 62-69. ISSN 1932-7587 doi: 10.1007/s11694-009-9073-5

Abstract/Summary

The potential of visible-near infrared spectra, obtained using a light backscatter sensor, in conjunction with chemometrics, to predict curd moisture and whey fat content in a cheese vat was examined. A three-factor (renneting temperature, calcium chloride, cutting time), central composite design was carried out in triplicate. Spectra (300–1,100 nm) of the product in the cheese vat were captured during syneresis using a prototype light backscatter sensor. Stirring followed upon cutting the gel, and samples of curd and whey were removed at 10 min intervals and analyzed for curd moisture and whey fat content. Spectral data were used to develop models for predicting curd moisture and whey fat contents using partial least squares regression. Subjecting the spectral data set to Jack-knifing improved the accuracy of the models. The whey fat models (R = 0.91, 0.95) and curd moisture model (R = 0.86, 0.89) provided good and approximate predictions, respectively. Visible-near infrared spectroscopy was found to have potential for the prediction of important syneresis indices in stirred cheese vats.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/24069
Item Type	Article
Refereed	Yes
Divisions	No Reading authors. Back catalogue items Life Sciences > School of Chemistry, Food and Pharmacy > Department of Food and Nutritional Sciences
Uncontrolled Keywords	Visible-near infrared spectroscopy; Chemometrics; Syneresis; Curd moisture; Whey fat; Fibre optic; Optical sensor; On-line
Publisher	Spinger
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