Method for rapidly detecting quality of sugar cane juice based on near infrared spectrum analysis

Abstract

The invention provides a method for quickly detecting the quality of sugar cane juice by using characteristic information of quality differences consisting of sugar degree, concentration (brix) and cane sugar content of the sugar cane juice, reflected in a near infrared spectrum. The method comprises the following steps of: crushing a sugar cane sample, squeezing and filtering to obtain a sugar cane sample; acquiring a near infrared spectrum of the sugar cane sample; and converting acquired near infrared spectrum information into quality parameters of the sugar cane juice to be detected with a partial least square algorithm by using the characteristic information reflected by different quality parameters of the sugar cane juice in the near infrared spectrum to quickly detect the quality of the sugar cane juice. Due to the adoption of the method, pricing by quality is conveniently realized for a sugar making enterprise, the production consumption is lowered, excellent quality and high price during selling can be practically and technically ensured for a sugar cane peasant, and the benefits of the sugar cane peasant are guaranteed.

Description

technical field [0001] The present invention relates to a method for quickly detecting the quality of sugarcane juice. Specifically, it involves using the characteristic information reflected in the near-infrared spectrum of quality differences such as sugar content, concentration, and sucrose content in sugarcane juice, and using the partial least squares algorithm to convert the collected near-infrared spectrum. The infrared spectrum information is converted into the parameters of the medium quality of the sugarcane juice to be tested, and the method for quickly detecting the medium quality of the sugarcane juice. Background technique [0002] Nearly 70% of the production costs of enterprises using sugarcane sugar lie in the raw material-sugarcane. In my country, due to the relative dispersal and backwardness of sugarcane agriculture and the limitations of complex operations, time-consuming and laborious operations of traditional detection and analysis techniques, it is sti...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the chemical and chromatographic analysis methods of sugarcane juice quality detection, which are complicated to operate, time-consuming and labor-intensive, the present invention provides a mathematical model that utilizes the near-infrared spectrum of sugarcane juice and the various quality parameters of sugarcane juice to analyze the quality parameters of sugarcane juice. Rapid detection method for assay