A method for constructing and predicting the humification degree prediction model of aerobic fermentation based on bacterial community data
An aerobic fermentation and prediction model technology, applied in the field of bioinformatics, can solve the problems of complex judgment of humification degree and incomplete judgment results, and achieve the effect of perfect abundance and accurate humification degree
Active Publication Date: 2022-04-15
NORTHEAST AGRICULTURAL UNIVERSITY
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[0004] In view of this, the purpose of the present invention is to provide a method for constructing and predicting the humification degree prediction model of aerobic fermentation based on bacterial community data, so as to solve the long-standing problem of complex judgment of humification degree and incomplete judgment results
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Embodiment 1
[0073] 1. Data collection
[0074] According to the laboratory-scale aerobic fermentation process, during the aerobic fermentation process (random sampling regardless of specific time), five types of aerobic fermentation materials (including garden waste, rice straw, cow dung, chicken dung, and sludge) were collected. , and store the collected materials at -80°C for subsequent 16S rRNA amplicon sequencing to obtain bacterial community data of different organic solid wastes;
[0075] After the original materials are collected and returned to the laboratory, they are first dried; when the excess water in each material is removed, the materials are cut into pieces with a particle size of 15-30mm, which is convenient for composting and decomposing; and the total organic carbon of different materials is analyzed. 2 and total Kjeldahl nitrogen determination 3 , using different materials to adjust the carbon-nitrogen ratio (C / N) of the initial compost material to 25-30, adjust the i...
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The invention provides a method for constructing and predicting a prediction model of aerobic fermentation humification degree based on bacterial community data, and belongs to the technical field of bioinformatics. The present invention screens the common bacteria from the bacterial communities in the aerobic fermentation process of different organic solid wastes, and at the same time screens the node bacteria and functional bacteria and analyzes the differences to select the key difference bacteria in the aerobic fermentation process of different organic solid wastes , the bacteria code of aerobic fermentation was constructed based on the common bacteria combined with the key difference bacteria; the bacteria code and the actual degree of humification were used as training samples, and the prediction model of the degree of humification of aerobic fermentation was obtained through random forest model analysis. The bacterial community of the sample to be predicted is input into the prediction model to realize the prediction of the humification degree of aerobic fermentation of different organic solid wastes, which solves the long-standing problem of complex judgment of humification degree and incomplete judgment results.
Description
technical field [0001] The invention belongs to the technical field of bioinformatics, in particular to a method for constructing and predicting a humification degree prediction model of aerobic fermentation based on bacterial community data. Background technique [0002] The degree of humification is a comprehensive index to identify the final quality of aerobic fermentation, and it is also a key factor affecting the safe application of the final product. Various non-biological indicators traditionally used to evaluate the degree of humification, including physical evaluation indicators, chemical evaluation indicators, spectroscopy indicators, etc. Among them, although physical indicators and chemical indicators have their own characteristics, they have limitations in measurement and use. However, spectrometry is used to analyze humic acid from the perspective of chemical dosimetry and material structure. The information provided is not comprehensive, and it is difficult t...
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IPC IPC(8): G16B20/30G16B40/00G16B50/00G06K9/62
CPCG16B20/30G16B40/00G16B50/00G06F18/24323
Inventor 魏自民杨红宇吴俊秋张书博赵越赵昕宇张旭解新宇陈晓蒙
Owner NORTHEAST AGRICULTURAL UNIVERSITY