Abstract
Prickly pear (Rosa roxburghii Tratt) is a regional deciduous shrub fruit that grows in southwestern China. The total flavonoids and vitamin C rich in prickly pear are important criteria for judging the ripening status and quality. In this study, a nondestructive analytical method was developed to predict titratable acid (TA), soluble solids (SS), total flavonoids (TFs) and vitamin C (VC) in prickly pear using near-infrared spectroscopy (NIRS) coupled with chemometrics. Different spectral pretreatments and variables selections were involved to optimize the NIRS models. Through comparative investigation, the best performance was finally attained from DBiPLS-CARS with Rp of 0.9685, RPD of 4.388 for TFs, and Rp of 0.9461, RPD of 3.045 for VC, respectively. Prediction of TA and SS were relatively less satisfactory but acceptable. Overall results in this study demonstrated that fast quantitative analysis of the essential quality attributes can be achieved by NIRS modeling approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.