Evaluating mid-infrared spectroscopy as a new technique for predicting sensory texture attributes of processed cheese

Fagan, C. C. ORCID: https://orcid.org/0000-0002-2101-8694, Everard, C., O'Donnell, C. P., Downey, G., Sheehan, E. M., Delahunty, C. M. and O'Callaghan, D. J. (2007) Evaluating mid-infrared spectroscopy as a new technique for predicting sensory texture attributes of processed cheese. Journal of Dairy Science, 90 (3). pp. 1122-1132. ISSN 0022-0302 doi: 10.3168/jds.S0022-0302(07)71598-9

Abstract/Summary

The objective of this study was to investigate the potential application of mid-infrared spectroscopy for determination of selected sensory attributes in a range of experimentally manufactured processed cheese samples. This study also evaluates mid-infrared spectroscopy against other recently proposed techniques for predicting sensory texture attributes. Processed cheeses (n = 32) of varying compositions were manufactured on a pilot scale. After 2 and 4 wk of storage at 4 degrees C, mid-infrared spectra ( 640 to 4,000 cm(-1)) were recorded and samples were scored on a scale of 0 to 100 for 9 attributes using descriptive sensory analysis. Models were developed by partial least squares regression using raw and pretreated spectra. The mouth-coating and mass-forming models were improved by using a reduced spectral range ( 930 to 1,767 cm(-1)). The remaining attributes were most successfully modeled using a combined range ( 930 to 1,767 cm(-1) and 2,839 to 4,000 cm(-1)). The root mean square errors of cross-validation for the models were 7.4(firmness; range 65.3), 4.6 ( rubbery; range 41.7), 7.1 ( creamy; range 60.9), 5.1(chewy; range 43.3), 5.2(mouth-coating; range 37.4), 5.3 (fragmentable; range 51.0), 7.4 ( melting; range 69.3), and 3.1 (mass-forming; range 23.6). These models had a good practical utility. Model accuracy ranged from approximate quantitative predictions to excellent predictions ( range error ratio = 9.6). In general, the models compared favorably with previously reported instrumental texture models and near-infrared models, although the creamy, chewy, and melting models were slightly weaker than the previously reported near-infrared models. We concluded that mid-infrared spectroscopy could be successfully used for the nondestructive and objective assessment of processed cheese sensory quality..

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/24079
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	descriptive sensory analysis, processed cheese, mid-infrared spectroscopy, chemometrics
Publisher	American Dairy Science Association
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