Method for improving detection efficiency and representativeness of chemical components of crude tobacco package

Abstract

The invention relates to a method for improving mass detection of chemical components of a crude tobacco package in tobacco leaf tobacco industries, and in particularly relates to a method for improving the detection efficiency and representativeness of the chemical components of the crude tobacco package. The method includes the following steps: sampling multiple points of tobacco leaves in a to-be-tested crude tobacco package for four or more than times, and mixing the tobacco leaves obtained by the four or more than times of sampling for detecting; spreading flatly the obtained tobacco leaves on a detection conveyor belt, starting the detection conveyor belt, conveying the tobacco leaves by the detection conveyor belt to pass through a light spot irradiation detection area of an on-line near infrared spectroscopy, processing obtained near infrared spectrum of each chemical component by detecting measuring software for detecting, and after the processing by the detecting measuring software, outputting detection numerical values of all the chemical components, and recording the numerical values of all the chemical components; performing numerical optimization on the numerical values obtained by the on-line near infrared spectroscopy to obtain the chemical component values of the whole crude tobacco package. The fast detection function of the chemical components of the crude tobacco hemp package can be realized, and the method has the advantage of high efficiency, complete detection and representative detection values.

Description

Technical field [0001] The invention relates to a method for inspecting the quality of chemical components of original tobacco packets in the tobacco industry, in particular to a method for improving the detection efficiency and representativeness of the chemical components of original tobacco packets. Background technique [0002] In order to facilitate the handling of original cigarette packs, tobacco companies often carry out the processing of about several large baskets of cigarette packs. When conducting random inspections on the chemical composition of raw cigarettes, they only take them from each large frame. A small number of leaves undergo offline chemical composition testing to represent the quality of the whole frame of tobacco leaves. The test result of a randomly selected sample represents the chemical quality of a pack or several packs of tobacco leaves, which is neither representative nor reflective of the true situation, and objectively amplifies the random error ...

AI Technical Summary

Problems solved by technology

Before the samples are tested by these two instruments, the samples need to be pretreated by tobacco leaves, and the samples need to be processed by removing stems from tobacco leaves, coarse powder, drying and refined powder. Therefore, the processing workload is large and time-consuming. However, the chemical composition detection time of the flow injection analyzer takes about 3 to 4 hours, which takes a long time and seriously affects the amount of tobacco leaf sampling.

The efficiency of testing the chemical composition of raw cigarette packs is low, which directly affects the judgment and grasp of the quality of raw tobacco purchased and stored by enterprises

Moreover, tobacco companies always use the single-point sampling value of the sample taken as the chemical composition value of the whole box of cigarettes for the detection value of the chemical composition of the original cigarette pack, which is not representative and has a large difference;

[0003] Raw tobacco leaves are agricultural products, and the chemical composition values ​​of different leaves, and even different parts of the same tobacco leaf, are very different. Therefore, sampling and inspection of a single point in the same cigarette pack cannot represent the chemical composition of the whole pack of tobacco leaves.

However, due to the time-consuming and labor-intensive inspection methods for the chemical composition quality of raw tobacco packs purchased and stored by tobacco leaf and tobacco enterprises, it is difficult to realize the detection of multi-point samples, but only a few samples are taken from each large frame (a basket of tobacco contains several packs of tobacco leaves). The leaves represent the quality of the whole frame of tobacco leaves, which also objectively magnifies the random error of sampling

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