Hu, X, Shi, J, Zhang, F et al. (6 more authors) (2017) Determination of Retrogradation Degree in Starch by Mid-infrared and Raman Spectroscopy during Storage. Food Analytical Methods, 10 (11). pp. 3694-3705. ISSN 1936-9751
Abstract
Retrogradation behavior is an important physicochemical property of starch during storage. A fast and sensitive method was developed for determining the retrogradation degree (RD) in corn starch by mid-infrared (MIR), Raman spectroscopy, and combination of MIR and Raman. MIR and Raman spectra were collected from different retrogradation starch and then processed by partial least squares (PLS), interval PLS (iPLS), synergy interval PLS (siPLS), and backward interval PLS (biPLS). Two different levels of fusion data extracted from MIR and Raman spectra were analyzed by PLS. The developed models demonstrated that both MIR and Raman techniques combined with chemometrics can be used to determine the RD in starch. The PLS model built by medium-level fusion approach achieved the most satisfied performance with a correlation coefficient of 0.9658. Integrating MIR and Raman technique combined with chemometrics improved the prediction performance of RD in comparison with a single technique.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, Springer Science Business Media New York. This is an author produced version of an article published in Food Analytical Methods. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Retrogradation degree; Starch; Raman spectroscopy; MIR spectroscopy; Partial least-squares |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Colloids and Food Processing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Oct 2021 13:16 |
Last Modified: | 25 Jun 2023 22:47 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/s12161-017-0932-0 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179324 |