Abstract

This work describes the optical approach for the quantitative description of sugar profiles in peaches during storage by using single integrating sphere (SIS). The spectral profiles for the optical properties (light absorption coefficient μa and reduced scattering coefficient μ’s) were measured. Correlation analysis between the optical properties and the sugar profiles showed that higher correlated values, with r > 0.640, were found. Furthermore, quantitative models were constructed by Partial Least Squares Regression (PLSR) based on μa and μ’s datasets to predict the sugar composition in peach flesh. The predicted results for the sucrose content based on μa datasets by PLSR were better than those based on the μ’s. For fructose and glucose contents, the predicted models were not very satisfactory due to low concentration in peach flesh, with Rp2 of 0.721, RMSEP of 0.817 g kg−1 for fructose and Rp2 of 0.753 and RMSEP of 0.604 g kg−1 for glucose, respectively. The models established by SIS present a simple and efficient strategy for quantitative analysis and may be used as alternative methods for evaluating the quality attributes of different types of fruit.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.