Fourier transform infrared spectroscopy based method for early detection of citrus sarcodactylis anthracnose

Abstract

The invention discloses a Fourier transform infrared spectroscopy based method for early detection of citrus sarcodactylis anthracnose. The method includes steps: firstly, sampling to obtain experimental materials; secondly, subjecting the experimental materials obtained at the step one to spectrometry; thirdly, subjecting relevant data obtained at the step two to spectrogram characteristic peak analysis to determine whether the related experimental materials are infected with anthracnose or not.

Description

technical field [0001] The invention relates to a method for detecting plant viruses, in particular to a method for early detection of bergamot anthracnose based on Fourier transform infrared spectroscopy. Background technique [0002] Bergamot (Citrusmedicavar.sarcodactylisSwingle), is a variant of Rutaceae citrus citron, an evergreen small tree. Bergamot is a traditional precious Chinese medicine. Its flowers, leaves and fruits can be used as medicine. It has the effects of soothing the liver and regulating qi, harmonizing the stomach and relieving pain. Bergamot fruit contains limonene, hesperidin, bergamot lactone and other compounds, and its alcohol extract has obvious inhibitory effect on the intestinal tract of rats. "And other effects. Bergamot blooms all year round, its flowers, leaves and fruits have a strong fragrance, and the ripe bergamot fruit is bright yellow, its taste is delicate and elegant, and the fragrance lasts for a long time, and the fruit shape is ...

AI Technical Summary

Problems solved by technology

[0005] Existing disease detection methods, such as naked eye observation, can only be judged when the symptoms are obvious and obvious; biological assay technology, nucleic acid sequence analysis technology, molecular marker technology, etc. all require laboratory diagnosis and identification , Carrying out a series of experimental operations: collecting diseases, isolating pathogenic bacteria, extracting DNA or RNA, designing detection primers for PCR amplification, etc., not only time-consuming and laborious, but also affecting and delaying timely control and affecting plant growth

Therefore, in view of the fact that the existing detection methods are difficult to achieve fast and accurate early detection, it is necessary to apply new technologies for early detection of diseases

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