| Calibration and Prediction of Amino Acids in Stevia Leaf Powder Using Near Infrared Reflectance Spectroscopy. | |
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MedLine Citation:
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PMID: 22066716 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Stevia, as animal feed additive, has been researched into over the years, but how to rapidly predict its amino acids contents is yet to be studied. In the present study, 301 samples of stevia leaf powder were defined as the calibration set from which calibration models were optimized and the performance of prediction was evaluated using near infrared reflectance spectroscopy. Compared with other mathematical treatments, the models developed with the "1, 12, 12, 1" treatment, combined with modified partial least squares regression and "standard normal variance with de-trending" , had a significant potential in predicting amino acid contents, such as threonine, serine, etc. Six spectral regions were found to possess large spectrum variation and show high contribution to calibration models. From present study, the calibration models of amino acids in stevia were successfully developed and could be applied to quality control in feed processing, breeding selection and mutant screening. |
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Authors:
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Guan Li; Rui-Guo Wang; Alfred Julius Quampah; Zheng-Qin Rong; Chun-Hai Shi; Jian-Guo Wu |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-11-7 |
Journal Detail:
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Title: Journal of agricultural and food chemistry Volume: - ISSN: 1520-5118 ISO Abbreviation: - Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-11-9 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374755 Medline TA: J Agric Food Chem Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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