Xiaowei Huang, Xiaobo Zou, Jiewen Zhao, Jiyong Shi, Xiaolei Zhang, Holmes Mel
School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China.
School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China; Key Laboratory of Modern Agricultural Equipment and Technology, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China.
Food Chem. 2014 Dec 1;164:536-43. doi: 10.1016/j.foodchem.2014.05.072. Epub 2014 May 21.
Flowering tea has become a popular beverage consumed across the world. Anthocyanins content is considered as an important quality index of flowering tea. The feasibility of using near infrared (NIR) spectra at the wavelength range of 10,000-4000 cm(-1) for rapid and nondestructive determination of total anthocyanins content in flowering tea was investigated. Ant colony optimization interval partial least squares (ACO-iPLS) and Genetic algorithm interval partial least squares (GA-iPLS) were used to develop calibration models for total anthocyanins content. Two characteristic wavelength regions (4590-4783, 5770-5,963 cm(-1)), which corresponding to the ultraviolet/visible absorption bands of anthocyanins, were selected by ACO-iPLS. The optimal ACO-iPLS model for total anthocyanins content (R=0.9856, RMSECV=0.1,198 mg/g) had better performance than full-spectrum PLS, iPLS, and GA-iPLS models. It could be concluded that NIR spectroscopy has significant potential in the nondestructive determination of total anthocyanins content in flowering tea.
花茶已成为一种在全球范围内广受欢迎的饮品。花色苷含量被视为花茶的一项重要品质指标。研究了利用波长范围为10000 - 4000 cm(-1)的近红外(NIR)光谱对花茶中总花色苷含量进行快速无损测定的可行性。采用蚁群优化区间偏最小二乘法(ACO-iPLS)和遗传算法区间偏最小二乘法(GA-iPLS)建立总花色苷含量的校准模型。通过ACO-iPLS选择了两个与花色苷紫外/可见吸收带相对应的特征波长区域(4590 - 4783,5770 - 5963 cm(-1))。总花色苷含量的最优ACO-iPLS模型(R = 0.9856,RMSECV = 0.1198 mg/g)比全光谱PLS、iPLS和GA-iPLS模型具有更好的性能。可以得出结论,近红外光谱在花茶总花色苷含量的无损测定方面具有巨大潜力。