Towards achieving online prediction of starch in postharvest sweet potato [Ipomoea batatas (L.) Lam] by NIR combined with linear algorithm

Sweet potato [Ipomoea batatas (L.) Lam] is one of the primary sources for producing high-quality starch characterized by large particles and high viscosity, and has been widely used as suitable raw materials for industrial production purposes. To quantify the starch content in postharvest sweet pota...

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Vydané v:Journal of food composition and analysis Ročník 118; s. 105220
Hlavní autori: He, Hong-Ju, Wang, Yangyang, Wang, Yuling, Ou, Xingqi, Liu, Hongjie, Zhang, Mian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Inc 01.05.2023
Predmet:
algorithms
chemometrics
food composition
industrial applications
Ipomoea batatas
Linear algorithm
Near-infrared
Online determination
prediction
starch
Starch prediction
Sweet potato
sweet potatoes
viscosity
Online determination
Linear algorithm
Sweet potato
Starch prediction
Near-infrared
ISSN:0889-1575
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Shrnutí:Sweet potato [Ipomoea batatas (L.) Lam] is one of the primary sources for producing high-quality starch characterized by large particles and high viscosity, and has been widely used as suitable raw materials for industrial production purposes. To quantify the starch content in postharvest sweet potatoes for industrial application, an online method based on near-infrared (NIR) data combined with chemometrics was developed using 650 samples for calibration and internal validation, and 50 samples for independent external validation. Seven informative wavelengths (910, 959, 1197, 1215, 1450, 1468 and 1699 nm) associated with the prediction of starch in 900–1700 nm range were further selected by competitive adaptive reweighted sampling (CARS) algorithm to relate to measured starch values using linear algorithms, achieving good validation performance to predict starch of sweet potato with correlation coefficients of 0.94 and error of 1.26 g/100 g. The developed NIR-based method is simple, convenient, efficient and promising. It can be applied for real-time online determination of starch content in sweet potatoes after harvest to further use in food and other industry. •An online NIR-based method was developed for rapid predicting starch content.•Linear algorithms were applied to mine NIR spectra of sweet potato for modeling.•Informative wavelengths were selected by competitive adaptive reweighted sampling.•F test and t test were conducted to verify the predictive soundness and validity.
Bibliografia:ObjectType-Article-1
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content type line 23
ISSN:0889-1575
DOI:10.1016/j.jfca.2023.105220