Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Dept. of Optoelectronic Engineering, Jinan Univ., Guangzhou, 510632, China.
Hangzhou Tienchu Miyuan Health Food Co., Ltd.
J Food Sci. 2019 Sep;84(9):2458-2466. doi: 10.1111/1750-3841.14748. Epub 2019 Sep 4.
A rapid quantitative analysis model for determining the hydroxy-2-decenoic acid (10-HDA) content of royal jelly based on near-infrared spectroscopy combining with PLS has been developed. Firstly, near-infrared spectra of 232 royal jelly samples with different 10-HDA concentrations (0.35% to 2.44%) were be collected. Second-order derivative processing of the spectra was carried out to construct a full-spectrum PLS model. Secondly, GA-PLS, CARS-PLS, and Si-PLS were used to select characteristic wavelengths from the second-order derivative spectrum to construct a PLS calibration model. Finally, 58 samples were used to select the best predictive model for 10-HDA content. The result show that the PLS model constructed after wavelength selection was significantly more accurate than the full spectrum model. The Si-PLS algorithm performed best and the corresponding characteristic wavelength range were: 980 to 1038, 1220 to 1278, 1340 to 1398, and 1688 to 1746 nm. The prediction results were RMSEP = 0.1496% and R = 0.9380. Hence, it is feasible to employ near-infrared spectra to analyze 10-HDA in royal jelly.
建立了一种基于近红外光谱结合偏最小二乘法（PLS）快速定量分析蜂王浆中羟基-2-癸烯酸（10-HDA）含量的方法。首先，采集了 232 个不同 10-HDA 浓度（0.35%-2.44%）的蜂王浆样品的近红外光谱。对光谱进行二阶导数处理，构建全光谱 PLS 模型。其次，采用 GA-PLS、CARS-PLS 和 Si-PLS 从二阶导数光谱中选择特征波长，构建 PLS 校正模型。最后，使用 58 个样品选择预测 10-HDA 含量的最佳预测模型。结果表明，经波长选择构建的 PLS 模型明显比全光谱模型更准确。Si-PLS 算法表现最好，对应的特征波长范围为：980-1038nm、1220-1278nm、1340-1398nm 和 1688-1746nm。预测结果的 RMSEP=0.1496%，R=0.9380。因此，采用近红外光谱分析蜂王浆中的 10-HDA 是可行的。
