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Method for identifying red sandalwood by near-infrared ray

A near-infrared spectroscopy and identification method technology is applied in the field of using near-infrared spectroscopy to quickly identify real and fake mahogany and wood species, and can solve the problems of being unsuitable for on-site detection, long time and high cost

Inactive Publication Date: 2009-08-05
INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY
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Problems solved by technology

[0004] These methods not only need professionals with rich experience, but also carry out a large amount of work such as sample preparation, microsection observation and analysis in the laboratory, the time is long, the cost is high (identifying a tree species needs 800~1000 yuan), and it is not suitable for On-site inspection
However, in the face of the vast and fast-growing mahogany market, the above identification methods are difficult to meet the needs of the market

Method used

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  • Method for identifying red sandalwood by near-infrared ray

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] (1) Preparation of wood samples: select standard mahogany and fake mahogany samples, the surface of which is flat and free from pollution. The samples include eight types of mahogany in the standard and 18 kinds of fake mahogany obtained from the market. The fake mahogany includes artificial mahogany produced by methods such as dyeing, painting, impregnation, decorative paper veneer and compaction, and wood with characteristics similar to mahogany. sample.

[0050] (2) Collection of near-infrared spectrum: use near-infrared spectrum equipment to collect several near-infrared spectra at different positions on the surface of the wood sample. For the same sample, the spectra are collected at 3 to 10 positions, and the spectra are converted into one spectrum after averaging. Represents a sample; the wavelength range of the collected spectrum is 350nm-2500nm, and the spectral information from the visible part to the near-infrared short-wave region from 350nm to 1000nm mainly...

Embodiment 2

[0057] (1) In this embodiment, the preparation of wood samples, near-infrared spectrum collection, spectral pretreatment and classification of modeling samples are similar to the first to fourth steps in Example 1, the difference is that the partial The least squares discriminant analysis (PLS-DA) method was used to build the model.

[0058] (2) The partial least squares discriminant analysis (PLS-DA) method is based on the PLS regression method, and the spectral data and the categorical variables are subjected to multiple regression, and the discriminant process is mainly as follows:

[0059] ① Establish the classification variables of the training set samples, namely true and false;

[0060] ② Partial least squares regression analysis of categorical variables and spectral data, and establishment of a partial least squares discriminant analysis model between categorical variables and spectral data;

[0061] ③ According to the PLS model of the categorical variables and spectr...

Embodiment 3

[0065] In this example, the methods of wood sample preparation, near-infrared spectrum acquisition, and spectrum pretreatment are similar to steps 1 to 3 in Example 1, but the difference is that the mahogany sample is divided into eight Redwood species and fake rosewood are divided into one category, and then use the Soft Independent Modeling Classification (SIMCA) method to establish a model for distinguishing true and false rosewood and distinguishing redwood categories.

[0066] The verification of the discriminant model and the identification of mahogany are similar to the 5th to 6th steps in Example 2. The difference is that the discriminative model can not only identify the authenticity of mahogany, but also output the category of mahogany. The results show that the model can The mahogany and fake mahogany samples are correctly discriminated, and if it is mahogany, the category of the mahogany sample is directly output, and the correct rate is 100%.

[0067]It shows that...

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Abstract

This invention relates to a method for identifying near infrared spectrum of rosewood including the following steps: applying rosewood and non-rosewood samples to collect several times of near infrared spectrums at different positions on the surface of the sample by a near infrared spectrum device and collect spectrums of 3-19 positions at a same sample to set up distinguishing models of true and false rosewood and its kind through spectrum pre-process such as smoothing, base line correction, a first stage derivative, a second stage derivative, multiple dispersion correction or pre-process of dimensionality reduction of data by a multivariable data analysis method of soft independent modeling sorting or deflection of the least square differential analysis so as to realize quick and harmless identification to true and false of rosewood and their kinds in several minutes.

Description

technical field [0001] The invention relates to a near-infrared spectrum identification method of mahogany, more specifically, a method for quickly identifying true and false mahogany and wood species by using near-infrared spectrum technology. Background technique [0002] Mahogany has been regarded as precious wood by people since ancient times. With the rapid development of social economy and the continuous improvement of human life quality, mahogany furniture and mahogany decorations are not only luxurious furnishings in high-end hotels, but also have entered the homes of ordinary people and have become used and Favorites. In practical application, because there are many types of wood that can be called mahogany, it is difficult for most people to identify the authenticity of mahogany, and the economic losses brought to producers and consumers due to ignorance of the authenticity range from a few thousand yuan to tens of thousands. Yuan, up to several million yuan, so t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84G01N21/17
Inventor 江泽慧杨忠许忠允傅峰任海青
Owner INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY
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