| Literature DB >> 31483872 |
Xinhao Yang1, Yuanpeng Li1, Lei Wang2, Liqun Li3, Liu Guo1, Furong Huang1,4, Hongxia Zhao3.
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 RP = 0.9380. Hence, it is feasible to employ near-infrared spectra to analyze 10-HDA in royal jelly.Entities:
Keywords: 10-hydroxy-2-decenoic acid; Chemometric algorithms; NIR; Royal jelly; Variable selection
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Year: 2019 PMID: 31483872 DOI: 10.1111/1750-3841.14748
Source DB: PubMed Journal: J Food Sci ISSN: 0022-1147 Impact factor: 3.167