Comparison of different CCD detectors and chemometrics for predicting total anthocyanin content and antioxidant activity of mulberry fruit using visible and near infrared hyperspectral imaging technique.
This study investigated the potential of using hyperspectral imaging technique in tandem with chemometrics for rapid and invasive predicting total anthocyanin content and antioxidant activity of mulberry fruit. Two calibration methods of partial least square regression and least-squares support vector machines and three wavelength selection algorithms of successive projections algorithm, uninformation variable elimination, and competitive adaptive reweighted sampling were applied. The best prediction models for the analysis of total anthocyanin content and antioxidant activity had Rval2of 0.959 and 0.995 respectively. The performances of two CCD detectors named silicon (Si) and indium gallium arsenide (InGaAs) were compared. The results show that hyperspectral imaging has a great potential for the assessment of total anthocyanin content and antioxidant activity of mulberry fruit.
College of Animal Sciences, Zhejiang University, Hangzhou 310058, PR China; South Taihu Agricultural Technology Extension Center in Huzhou, Zhejiang University, Huzhou 313000, PR China. Electronic address: lxhuang@zju.edu.cn.
Lingxia
L
Huang
College of Animal Sciences, Zhejiang University, Hangzhou 310058, PR China. Electronic address: zhou_yi_bin@qq.com.
Yibin
Y
Zhou
College of Animal Sciences, Zhejiang University, Hangzhou 310058, PR China. Electronic address: 1193414839@qq.com.
Liuwei
L
Meng
College of Agriculture & Biotechnology/Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology/The State Agriculture Ministry Laboratory of Horticultural Plant Growth, Development and Quality Improvement, Zhejiang University, Zijingang Campus, Hangzhou 310058, PR China. Electronic address: di_wu@zju.edu.cn.
Di
D
Wu
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China. Electronic address: yhe@zju.edu.cn.
Yong
Y
He
D000465:Algorithms; D000872:Anthocyanins / Q000032:analysis*; D005638:Fruit / Q000737:chemistry*; D008962:Models, Theoretical; D031625:Morus / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D060388:Support Vector Machine
D000872:Anthocyanins
Antioxidant activity; CCD detector; Chemometrics; Hyperspectral imaging; Mulberry; Total anthocyanins; Visible and near infrared spectroscopy