Method for predicting green brick tea raw material pile fermentation degree through near infrared spectrometer scanning

Abstract

The invention relates to a method for predicting the green brick tea raw material pile fermentation degree through near infrared spectrometer scanning, wherein a near infrared spectrometer is used and an integrating sphere is adopted as an optical platform to scan. The method comprises: selecting green brick tea raw materials, carrying out near infrared spectral scanning on the green brick tea raw material samples, converting all near infrared spectrums of the green brick tea pile fermentation raw materials into pairs of data points by using a spectrum software, carrying out main component analysis on the data points on a Matlab software platform, and respectively adopting the previous three main component numbers PC1, PC2 and PC3 as the X axis, Y axis and Z axis and inputting the data into an origin 8.0 software so as to obtain the space distribution map of the green brick tea pile fermentation raw material samples with different pile fermentation degrees, wherein the green brick tea pile fermentation raw material samples with different pile fermentation degrees do not produce the cross distribution in the space. With the method of the present invention, the pile fermentation degree of the green brick tea raw material can be rapidly, accurately and non-destructively predicted.

Description

technical field [0001] The invention relates to a method for determining the aging time of green brick tea, in particular to a method for predicting the degree of aging of green brick tea raw materials by scanning with a near-infrared spectrometer. Background technique [0002] The near-infrared spectral region is the first non-visible light region discovered in the absorption spectrum. The combined frequency of the near-infrared spectral region and the vibration of hydrogen-containing groups (O-H, N-H, C-H) in organic molecules and the absorption region of all levels of frequency multiplication unanimous. Near-infrared spectroscopy (NIR) is one of the fastest-growing and most eye-catching analytical techniques since the 1990s. It can be used for the rapid quantitative detection of agricultural products (including grains, feed, fruits, vegetables and tea, etc.) Research, by scanning the near-infrared spectrum of the sample, the characteristic information of the hydrogen-con...

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Problems solved by technology

[0004] The object of the present invention is to provide a method for predicting the degree of heaping of green brick tea raw materials by scanning with a near-infrared spectrometer, aiming at the shortcomings of the existing method for sensory evaluation of the degree of heaping of raw materials of green brick tea, which has greater subjectivity and randomness.

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