Feasibility of Quantitative Analysis of Peanut Milk Based on Near Infrared Spectroscopy

doi:10.7506/spkx1002-6630-201724030

Abstract

Abstract: This study focused on the feasibility of using near infrared (NIR) spectroscopy for quantitative analysis of peanut milk. Simulated peanut milk samples were prepared by mixing different amounts of milk powder with peanut slurry and they were scanned by NIR. A quantitative analysis model was established based on the spectra obtained. The results demonstrated that the PLS modeling method could effectively make up for the light scattering and the interference between peanut and milk powder, and thus it could be applied to analyze such complex systems as peanut milk. The root-mean-square error of calibration (RMSEC), root-mean-square error of predication (RMSEP) and correlation coefficient (R) of the quantitative analysis model were 0.573%, 3.73% and 0.999 7 for peanut and 0.066, 0.183 g/L, and 0.955 7 for milk powder, respectively. In conclusion, NIR spectroscopy could be used in the rapid quantitative analysis of peanut milk. However, further study is needed on the model.

Key words: peanut milk, peanut, milk powder, near infrared spectroscopy, quantitative analysis

CLC Number:

TS207.3

FAN Rui, SUN Xiaokai, ZHOU Xin, CHEN Jie, NIU Jinye, SUN Fazhe, KONG Ling, CHEN Zhiwei. Feasibility of Quantitative Analysis of Peanut Milk Based on Near Infrared Spectroscopy[J]. FOOD SCIENCE, 2017, 38(24): 189-195.

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Feasibility of Quantitative Analysis of Peanut Milk Based on Near Infrared Spectroscopy

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