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.
Food Chem. 2020 Nov 30;331:127361. doi: 10.1016/j.foodchem.2020.127361. Epub 2020 Jun 20.
A low cost hand-held spectral analytical system was developed for in situ screening of phenolics and flavonoids in puff dried Ziziphus jujuba (Z. Jujuba) samples. Standards of gallic acid, caffeic acid, l-epicatechin, phloridzin and cianidanol were used to quantify the individual phenolics and flavonoids using high performance liquid chromatography-diode array detector (HPLC-DAD). The synergy interval partial least square with ant colony optimization (Si-ACO-PLS) was attempted to optimize and capture informative variables for the prediction of target compounds. The model performance was evaluated using correlation coefficients of prediction (Rp); root mean square error of prediction (RMSEP) and residual predictive deviation (RPD). The Si-ACO-PLS yielded optimal performance, 0.8540 ≤ Rc ≤ 0.9250, 0.8360 ≤ Rp ≤ 0.9056, 0.84 ≤ RMSEP ≤ 16.30 and 2.03 ≤ RPD ≤ 2.26. The hand-held spectral analytical system coupled with Si-ACO-PLS proved to the reliable, rapid and cost-effective method to quantify the phenolics and flavonoids in Z. Jujuba.
一种低成本的手持式光谱分析系统被开发出来，用于现场筛选膨化干燥的枣（Z. Jujuba）样品中的酚类和类黄酮。使用没食子酸、咖啡酸、表儿茶素、根皮苷和氰苷醇标准品，通过高效液相色谱-二极管阵列检测器（HPLC-DAD）对单个酚类和类黄酮进行定量。尝试使用协同区间偏最小二乘与蚁群优化（Si-ACO-PLS）来优化和捕获预测目标化合物的信息变量。使用预测相关系数（Rp）；预测均方根误差（RMSEP）和残留预测偏差（RPD）评估模型性能。Si-ACO-PLS 产生了最佳性能，0.8540≤Rc≤0.9250，0.8360≤Rp≤0.9056，0.84≤RMSEP≤16.30 和 2.03≤RPD≤2.26。手持式光谱分析系统与 Si-ACO-PLS 相结合，被证明是一种可靠、快速且具有成本效益的方法，可用于定量测定枣中的酚类和类黄酮。
