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Early period detection method for wood material biological decayed

An early detection and biological technology, applied in the field of early detection of wood biodegradation, can solve the problems of wood biodegradation, identification and prediction of biodegradation type and degree, etc., and achieve the effect of accurate evaluation

Inactive Publication Date: 2007-03-28
INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY
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Problems solved by technology

Recently, the United States used near-infrared to predict the mechanical strength of decayed wood "Method of predicting mechanical properties of decayed wood" (US Patent US 6,593,572 B2). Although this patent can quickly predict the mechanical strength of decayed wood, it cannot predict whether the wood is biodegraded or not. , Biodegradation type and degree for discrimination and prediction

Method used

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  • Early period detection method for wood material biological decayed

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Embodiment 1: Principal component analysis (PCA) method detects the early biodegradation of wood

[0048] 1) Sample preparation

[0049] Collect wood strips or block samples, inoculate one kind of brown rot fungus and one kind of white rot fungus, and put them into the cultivation room for biological decay. The weight loss rate (weight loss rate) is used to evaluate the degree of biological decay, and the early decay samples with a weight loss rate of less than 10% are taken out;

[0050] For samples of discoloration fungus and mold spoiling wood, the method of inoculation and biological culture is similar to that of wood rot fungus.

[0051] 2) Acquisition of near-infrared spectra

[0052] Using near-infrared spectroscopy equipment, first collect near-infrared spectra on the solid surface of the wood sample, collect spectra at 3 to 10 positions for the same sample, and convert the spectra into one spectrum after averaging to represent a sample; Drill a small amount ...

Embodiment 2

[0058] Example 2: Soft Independent Modeling Classification (SIMCA) Method for Detection of Early Biodegradation of Wood

[0059] The method of sample preparation and near-infrared spectrum acquisition is similar to that of Example 1, the difference is that two-thirds of the samples under different biodegradation conditions are randomly selected from the biodegradation sample, and are used for training to establish SIMCA analysis. In the PCA model, the number of principal components is determined after cross-validation, and the remaining one-third of the samples are used as a test set to evaluate the effectiveness of the training set model.

[0060] Perform preprocessing such as smoothing, baseline correction, first derivative, second derivative, multivariate scattering correction or data dimensionality reduction on near-infrared spectral data to improve the signal-to-noise ratio and analysis efficiency of the spectrum. When modeling, PCA analysis is first performed on the trai...

Embodiment 3

[0063] Embodiment 3: Partial least squares discriminant analysis (PLS-DA) method detects the early biodegradation of wood

[0064] The method of sample preparation and near-infrared spectrum collection is similar to Example 1, and the preprocessing of near-infrared spectrum data, spectral wavelength selection and sample selection during modeling are similar to Example 2. The difference is that PLS-DA discriminant analysis is used method to build a model.

[0065] Since the PLS-DA discriminant analysis method is based on the regression model between the sample classification variables and the near-infrared spectral characteristics established by the PLS regression method, the classification variable group Y of the training set samples is assigned according to the actual biological deterioration category characteristics of the samples. m . Then, through the PLS regression analysis method, regression analysis is carried out on the spectrum of the training set sample and the clas...

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Abstract

This invention relates to an early test method for molder biology of wood including: collecting a wood sample to be inoculated with different foxed bacterium and put into a cultivating room for biological molder, then taking out an early sample with the weightlessness lower than 10%, first of all, collecting near infrared spectrums on the solid surface of the sample, then, grinding the sample to powder and collecting the near infrared spectrum, carrying out smoothing, base line calibration, first order derivative, second order derivative or data dimensionality reduction, analyzing the main composition, soft independent modeling sort and deflection least square differentiate analysis to set up models separately so as to check if the wood is eroded, the color is changed or molded.

Description

technical field [0001] The invention relates to an early detection method of wood biodegradation, more specifically, a near-infrared spectrum detection method of whether biodegradation occurs in the early stage of wood, the type and degree of biodeterioration. Background technique [0002] Wood is a biomass material that is susceptible to attack by various microorganisms, even in the early stages of wood biodegradation (including wood decay caused by wood rotting fungi, discoloration fungi, and molds), which can lead to a serious reduction in wood quality and use value. However, in the early stage of wood biodegradation, the wood has just been infected by fungi. Although mycelium grows inside the wood, it has not caused obvious changes in the wood surface and wood properties, and it is generally difficult to be found. Therefore, the early and rapid detection or identification of wood biodegradation can provide reference for the protection and rational utilization of wood, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/17G01N21/31G01N1/28
Inventor 江泽慧杨忠覃道春费本华任海青
Owner INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY
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