Non-destructive assessment of quality parameters in 'Friar' plums during low temperature storage using visible/near infrared spectroscopy. (March 2017)

• Record Type: Journal Article
• Authors: Li, Ming; Lv, Wenbo; Zhao, Rui; Guo, Huixin; Liu, Jing; Han, Donghai
• Is Part Of: Food control. Volume 73:Part B(2017)
• Page Start: 1334
• Page End: 1341
• Publication Date: 2017-03
• Subjects: 'Friar' plum -- Visible/near infrared spectroscopy -- Interaction -- Flesh color -- Comprehensive PLS model; 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.2016.10.054
• Languages: English
• ISSNs: 0956-7135

Abstract

Abstract: In the present study, visible/near infrared (Vis/NIR) spectroscopy was used as a non-destructive method to predict the 'Friar' plum's quality parameters; soluble solids content (SSC), titratable acidity (TA), pH, firmness, sugar-acid ratio (SSC/TA) and flesh color ( L*, a*, b* ). Correlation coefficients were used to select the characteristic spectral regions using partial least squares (PLS) regression. A Pearson correlation analysis and principal component analysis (PCA) were used to explore the interaction between the parameters during low-temperature storage. The parameters' factor weightings were calculated using PCA to build a comprehensive PLS model for further assessment. The success of the prediction varied with the quality parameters: SSC ( R P 2 = 0.9456, RMSEP = 0.456 °Brix, RPD = 4.43), TA ( R P 2 = 0.7702, RMSEP = 0.0183%, RPD = 2.18), firmness ( R P 2 = 0.8250, RMSEP = 0.532 kgf cm −2, RPD = 2.37), pH ( R P 2 = 0.8299, RMSEP = 0.1010, RPD = 2.38), SSC/TA ( R P 2 = 0.7663, RMSEP = 15.6, RPD = 2.10), L* ( R P 2 = 0.8673, RMSEP = 3.02, RPD = 2.68), a* ( R P 2 = 0.6490, RMSEP = 2.52, RPD = 1.62) and b* ( R P 2 = 0.9252, RMSEP = 2.53, RPD = 3.19). In particular, flesh color proved to be an important factor to consider when assessing the quality of post-ripening during low-temperature storage. The satisfactory comprehensive PLS model provided good prediction results ( R P 2 = 0.8212, RMSEP = 38.9, RPD = 2.40) to enable a fair and reliable assessment of stored plums. Highlights: Assessing parameters of 'Friar' plum using vis-near spectroscopy is feasible. All parameters were analyzed and explained the interaction between them during the low-temperature storage of 'Friar' plum. Flesh color is an important factor to consider. Potential of a comprehensive PLS model for taking account all parameters was examined.