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采用近红外光谱结合化学计量学测定蜂王浆中的 10-羟基-2-癸烯酸。

Determination of 10-Hydroxy-2-Decenoic Acid of Royal Jelly Using Near-Infrared Spectroscopy Combined with Chemometrics.

机构信息

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.

出版信息

J Food Sci. 2019 Sep;84(9):2458-2466. doi: 10.1111/1750-3841.14748. Epub 2019 Sep 4.

Abstract

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.

摘要

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。

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