期刊
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
卷 105, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2021.104225
关键词
Near infrared spectroscopy; Chemometrics; Prickly pear; Total flavonoids; Vitamin C
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. The best performance was achieved for TFs and VC through DBiPLSCARS with Rp of 0.9685, RPD of 4.388 and Rp of 0.9461, RPD of 3.045, respectively. Overall, fast quantitative analysis of essential quality attributes in prickly pear can be achieved through NIRS modeling approach.
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 DBiPLSCARS 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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据