Journal
FOOD ANALYTICAL METHODS
Volume 10, Issue 11, Pages 3694-3705Publisher
SPRINGER
DOI: 10.1007/s12161-017-0932-0
Keywords
Retrogradation degree; Starch; Raman spectroscopy; MIR spectroscopy; Partial least-squares
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Funding
- National Key Research and Development Program of China [2016YFD0401104]
- National Science and Technology Support Program [2015BAD17B04]
- National Natural Science Foundation of China [31671844]
- natural science foundation of Jiangsu province [BK20160506, BE2016306]
- International Science and Technology Cooperation Project of Jiangsu Province [BZ2016013]
- Suzhou Science and Technology Project [SNG201503]
- Six talent peaks project in Jiangsu Province [GDZB-016]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
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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.
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