Method for identifying alga species by combining Raman spectroscopic technology and spectral peak ratio method

Abstract

The invention discloses a method for identifying an alga species by combining a Raman spectroscopic technology and a spectral peak ratio method. The method comprises the following steps of extracting a plurality of samples of the same alga species in different growth stages, and acquiring the initial Raman spectral information of each sample, wherein each sample is the living alga liquid of the current alga species; preprocessing the initial Raman spectral information to obtain a corresponding preprocessed spectrogram, and obtaining a spectral peak ratio corresponding to carotene; replacing the alga species, and obtaining corresponding spectral peak ratios of different alga species in each growth stage; establishing a BP (back propagation) neural network model by taking the spectral peak ratios of all the alga species as input and taking the alga species corresponding to each ratio as output; extracting living alga liquid to be identified, obtaining a spectral peak ratio of the living alga liquid to be identified, and inputting the obtained spectral peak ratio into the BP neural network model to obtain the alga species in the living alga liquid to be identified. According to the method for identifying the alga species, the Raman spectroscopic technology is combined with the spectral peak ratio method, so that operation steps are greatly simplified, and the detection time is shortened.

Description

technical field [0001] The invention relates to the technical field of classification and detection of algae species, in particular to a method for identifying algae species in combination with Raman spectrum technology and spectral peak ratio method. Background technique [0002] Microalgae are a class of aquatic (or terrestrial, aerial, symbiotic) lower plants with diverse phylogenies, small individuals, usually single cells or groups, and capable of photosynthesis (a small part is heterotrophic growth). It is a microorganism capable of photosynthesis, using sunlight, water and CO 2 Synthesize the substances you need. At present, the identification, classification and biochemical analysis of algae have become one of the research hotspots in marine biology. [0003] Chlorella is a kind of single-celled green algae, which belongs to Chlorophyta, Chlorophyceae, and Chlorella genus. It is widely distributed in nature and has the most species in freshwater waters. Chlorella ...

AI Technical Summary

Problems solved by technology

[0006] The invention provides a method for identifying algae species combined with Raman spectroscopy technology and spectral peak ratio method, which solves the problems of low detection rate, relatively cumbersome operation, time-consuming and labor-consuming problems of existing detection methods

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