Method for quickly detecting nutritional quality of root/stem crops on basis of near-infrared spectrum

Abstract

The invention discloses a method for quickly detecting nutritional quality of root / stem crops on the basis of near-infrared spectrum, and belongs to the field of nutritional quality detection. The method includes steps of 1), screening a representative test sample bank with high gradient of component content and according with modeling; 2), acquiring near-infrared spectrum data of test samples by a near-infrared spectrometer; 3), precisely analyzing component content of nutritional quality of the test samples in the test sample bank by referring to international or national standard methods; 4), processing the near-infrared spectrum data; 5), selecting a chemical metering process for building a mathematical model and establishing a model by a program QUANT-2 in OPUS quantitative analysis software; 6), evaluating the model by means of correction and internal cross validation; and 7), collecting the near-infrared spectrum data of to-be-tested samples, preprocessing the spectrum data, and then predicting the nutritional quality of the samples by the aid of the established model. The method has the advantages of high analysis speed, no pollution, no sample preprocessing, high detection precision, good repeatability, and capability of analyzing various nutritional quality components of underground root / stem crops simultaneously.

Description

technical field [0001] The invention relates to a method for quickly detecting the nutritional quality of underground root / stem crops based on near-infrared spectroscopy, and belongs to the technical field of detection of nutritional quality components of underground root / stem crops. It can quickly and pollution-free detect the nutritional quality components in underground root / stem crops such as sweet potato, cassava, potato, yam, and taro. Background technique [0002] Sweet potato, cassava, potato, yam, taro, etc., as typical underground root / stem starch crops, are important food, feed and industrial raw materials in my country and even in the world. Every year, a large number of samples of such underground root / stem starch crops in my country need quality analysis and identification in terms of breeding, cultivation, resource selection and preservation, and processing and utilization. The analysis of nutritional components by conventional chemical testing instruments in...

AI Technical Summary

Problems solved by technology

The analysis of nutritional components by conventional chemical testing instruments in the laboratory requires multiple steps such as extraction or reaction of chemical reagents, and detection. It is easy to cause environmental errors and human errors, affect the reliability and comparability of analysis results, consume a large amount of chemical reagents, and produce waste liquid, waste gas and other pollutants that do not meet the current low-carbon society requirements.

At present, in my country, there is no rapid, low-consumption, and pollution-free analytical method for the nutritional quality of such underground root / stem starch crops.

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