Research of the Measurement on Palmitic Acid in Edible Oils by Near-Infrared Spectroscopy
A method for determination of palmitic acid in edible oils by the near-infrared spectroscopy was addressed in this paper. 56 samples were col-lected in the experiment. In terms of concentration content gradient method, 44 samples were selected for modeling set and 12 for testing set. This paper described the utilization of PLS for establishing a quantitative analysis model for predicting the content of palmitic acid in edible oils by nearinfrared spectros-copy. The result shows that the model has a high accuracy for predicting the palmitic acid content with vector normalization and firstderivative preproc-essing spectra with its best main factorial number of 8.The determination coef-ficients (R2), root mean square error of cross validation (RMSECV), root mean square error of prediction (RMSEP) and average bias are 99.59, 0.162, 0.306 and 0.148, respectively. The model used in the paper can be adopted for the measurement of palmitic acid in edible oils accurately.
Near-infrared Spectroscopy Palmitic Acid Edible Oils quantita-tive analysis
Hui Li Jingzhu Wu Cuiling Liu
College of Computer & Information Engineering, Beijing Technology and Business University,Fucheng Road 33, 100048 Beijing, P. R. China
国际会议
南昌
英文
317-321
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）