Visible, near- and mid-infrared spectroscopy coupled with an innovative chemometric strategy to control apple puree quality. (February 2021)

• Record Type: Journal Article
• Authors: Lan, Weijie; Bureau, Sylvie; Chen, Songchao; Leca, Alexandre; Renard, Catherine M.G.C.; Jaillais, Benoit
• Is Part Of: Food control. Volume 120(2021)
• Publication Date: 2021-02
• Subjects: Malus domestica borkh. -- Vis-NIR -- MIR -- Machine learning -- MCR-ALS; Food -- Quality -- Periodicals; Food -- Analysis -- Periodicals; Food handling -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Analyse -- Périodiques; Hygiène alimentaire -- Périodiques; Food -- Analysis; Food handling; Food -- Quality; Periodicals; Electronic journals; 664.07
• DOI: 10.1016/j.foodcont.2020.107546
• Languages: English
• ISSNs: 0956-7135

Abstract

Abstract: Vis-NIRS, MIRS, and a combination of both coupled with PLS and machine learning were applied to i) trace the composed proportions of different apple varieties in formulated purees and ii) predict the quality characteristics of formulated purees from spectral information of initial puree cultivars. The PLS models could estimate proportions of each apple cultivar in puree mixtures using MIR spectra (RMSEP<8.1%, RPD> 3.6), especially for Granny Smith (RMSEP = 2.7%, RPD = 11.4). The concentration profiles from multivariate curve resolution-alternative least squares (MCR-ALS) made possible to reconstruct spectra of formulated purees. MIRS technique was evidenced to predict the final puree quality, such as viscosity (RPD>4.0), contents of soluble solids (RPD = 4.1), malic acid (RPD = 4.7) and glucose (RPD = 4.3), based only on the spectral data of composed puree cultivars. Infrared technique should be a powerful tool for puree traceability, even for multicriteria optimization of final products from the characteristics of composed puree cultivars before formulation. Highlights: Vis-NIRS and MIRS coupled with PLS can detect the cultivar composition of mixed purees. MIRS evaluated with a high confidence the quality characteristics of formulated purees by PLS. Spectra of individual puree cultivars can be used to control the quality of formulated apple purees. MIRS coupled with MCR-ALS can reconstruct the puree mixture using the concentration profiles.