Method for fast detecting indexes of white granulated sugar through near infrared spectrum

Abstract

The invention belongs to the technical field of sucrose detection, and specifically relates to a method for rapidly detecting white sugar indicators by near-infrared spectroscopy. The invention uses a near-infrared spectrometer to measure the near-infrared spectrum of a sample, and applies chemometrics technology to process the measured spectral data. And based on the spectral data of the calibration set samples obtained after processing and the reference value of the white sugar index, the calibration model of the white sugar index was established by chemometrics technology, and then the performance of the white sugar index calibration model was evaluated with the verification set samples, and the established The calibration model predicts the indicators of unknown white sugar samples. Using this method to detect the indicators of white sugar does not require chemical reagents or manual intervention. It has the advantages of fast and accurate, high stability, and the white sugar can be obtained within 5 minutes. Important parameters such as color value, turbidity, sugar content and water content.

Description

technical field [0001] The invention belongs to the technical field of sucrose detection, and in particular relates to a method for rapidly detecting white granulated sugar indicators by near-infrared spectroscopy. Background technique [0002] Guangxi is the largest white sugar production province in China. How to produce high-quality white sugar and improve the production technology level in the new era needs to provide a fast and accurate method for testing the quality of white sugar. The existing sugar detection technology methods in sugar factories include instrumental analysis detection method and conventional chemical detection method. Although the instrumental analysis detection method is simple to operate, it has the defect of low detection accuracy, while the traditional national standard chemical analysis method has complex operations, time-consuming and laborious. Shortcomings, poor repeatability, lagging test results, far from reaching the purpose of timely guid...

AI Technical Summary

Problems solved by technology

The existing sugar detection technology methods in sugar factories include instrumental analysis detection method and conventional chemical detection method. Although the instrumental analysis detection method is simple to operate, it has the defect of low detection accuracy, while the traditional national standard chemical analysis method has complex operations, time-consuming and laborious. Shortcomings, poor repeatability, lagging test results, far from achieving the purpose of timely guidance of production

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