| Infrared spectroscopy technique for the nondestructive measurement of fat content in milk powder. | |
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MedLine Citation:
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PMID: 17638971 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The aim of this study was to investigate the potential of the infrared spectroscopy technique for nondestructive measurement of fat content in milk powder. Fat is an important component of milk powder. It is very important to be able to detect the fat content in milk powder using a rapid and nondestructive method. Near and mid infrared spectroscopy techniques were used to achieve this purpose. Least-squares support vector machine (LS-SVM) was applied to developing the fat-content prediction model based on the infrared spectral transmission values. The results based on LS-SVM were better than those of back-propagation artificial neural networks. The determination coefficient for prediction of the results predicted by the LS-SVM model was 0.9796 and the root mean square error was 0.836708. It was concluded that infrared spectroscopy technique could quantify the fat content in milk powder rapidly and nondestructively. The process is simple and easy to operate. Moreover, the prediction results were compared between near infrared and mid infrared spectral data. The results showed that the performances of model with both mid infrared and near infrared spectral data were a little worse than that of the whole infrared spectral data. The results could be beneficial for designing a simple and nondestructive spectral sensor for the quantification of fat content in milk powder. |
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Authors:
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D Wu; S Feng; Y He |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Journal of dairy science Volume: 90 ISSN: 1525-3198 ISO Abbreviation: J. Dairy Sci. Publication Date: 2007 Aug |
Date Detail:
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Created Date: 2007-07-19 Completed Date: 2007-11-20 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 2985126R Medline TA: J Dairy Sci Country: United States |
Other Details:
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Languages: eng Pagination: 3613-9 Citation Subset: IM |
Affiliation:
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College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Dietary Fats / analysis* Least-Squares Analysis Milk / chemistry* Neural Networks (Computer) Powders Reproducibility of Results Spectrophotometry, Infrared / methods* |
| Chemical | |
Reg. No./Substance:
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0/Dietary Fats; 0/Powders |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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