Rosewood identification method based on high performance liquid chromatography fingerprint maps and clustering analysis

Abstract

The invention discloses a rosewood identification method based on high performance liquid chromatography fingerprint maps and clustering analysis and relates to the technical field of wood identification. The method comprises the following steps of obtaining high performance liquid chromatography fingerprint map data of a plurality of samples of various accurately named rosewoods, carrying out mapdata standardization, and establishing a rosewood identification model based on a clustering analysis method; obtaining the high performance liquid chromatography fingerprint map data of an unknown rosewood, carrying out standardization, substituting the data into the rosewood identification model for clustering analysis, thereby obtaining similar rosewood species; and carrying out high performance liquid chromatography fingerprint map similarity analysis on the similar rosewood species and the unknown rosewood, and obtaining the rosewood specie with the highest similarity as an identification result. According to the method, true and false judgment of the unknown rosewood is realized through utilization of big data, influence of human factors is overcome, the rosewood specie to which theunknown rosewood possibly belongs to does not need to be provided, the result is accurate and reliable, the problem that peak areas are inconsistent due to retention time data drift and a chromatographic detection device is avoided, and accuracy and practicability of the rosewood identification model are improved.

Description

technical field [0001] The invention relates to the technical field of wood identification, in particular to an identification method for mahogany based on high performance liquid phase fingerprints and cluster analysis. Background technique [0002] As a kind of precious wood resources, mahogany is favored by people because of its characteristic color and good physical and mechanical properties. With the rapid growth of the national economy, people's pursuit of wood materials is getting higher and higher in both quality and quantity. They are used and collected by the majority of mahogany lovers, and the demand is increasing greatly. However, high-quality and authentic mahogany resources are in short supply. As a result, it is very common to shoddy and fake ones. Coupled with the unprecedented development of the transportation industry, wood similar to mahogany from remote South America, Africa and other real estates has also flooded into the market, which further aggravate...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that mahogany is affected by site conditions, and the chemical composition of wood is different. Even if the chemical composition of samples from different sources of the same mahogany has certain commonalities, there are certain differences. Only a single standard material is used to make the background film and Comparison of sample pieces, instead of extracting the commonality of different standard materials from multiple sources for comparison, the identification result is likely to show that the sample is this kind of mahogany, but because it is not completely consistent with the standard material used as the background piece, it is rejected false mahogany

[0007] Due to technical limitations, gas chromatography technology cannot detect samples with poor volatility, poor thermal stability, and ionic samples. Therefore, generally speaking, for redwood samples, the chemical information contained in the gas chromatogram is less than that in the liquid chromatogram. Fingerprint technology The more specificity of the chromatographic peak is required, the more guaranteed it is, resulting in less specificity of the identification method

[0008] The fingerprints produced by the HPLC method contain many fingerprint peaks and are more specific. However, the chromatographic columns used in the high-performance liquid chromatography method have been tested for a long time, and the aging of the column and slight changes in the chromatographic conditions are likely to cause retention time. For a certain range of drift, the general detection is corrected by standard substances; for fingerprints, because the detected substances are all substances with unknown content, generally there will be no suitable standard substances to correct them, so the peaks containing the same substance may be in the In different tests, there are certain fluctuations, and accurate data comparison cannot be made; the standard fingerprint data after comparison by similarity software will use functions such as multi-point correction, and there will also be changes in retention time

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