Electrochemical Fingerprint Signal Collection And Recognition Of Plant Growth

Electrical analysis sensing is a metrology and analysis technique that provides information feedback by measuring the voltammetry signal that a substance changes when it participates in an electrochemical reaction.Differences exist in the types and concentrations of electroactive species in different plant species,and the differences in their electrochemical signals can be used for plant identification and physiological monitoring.In this study,ginkgo and maple plants were selected as research subjects,and their electrochemical fingerprint signals were collected to explore applications in plant identification,systematics research,and physiological monitoring based on fingerprint mapping.The specific research content is as follows:(1)The growth status of male and female Ginkgo biloba was monitored using electroanalytical sensing technology.This study investigated the feasibility of using electroanalytical sensing technology for plant physiological monitoring.The changes in the electrochemical fingerprint spectra of male and female Ginkgo biloba leaves were studied during one year of growth.The results showed that the differences in the electrochemical fingerprint spectra of Ginkgo biloba leaves could be used not only to determine the sex of Ginkgo biloba,but also to identify the growth status of Ginkgo biloba in different months.A recognition flowchart based on electrochemical fingerprint recognition was proposed in this study.The research indicated that electrochemical fingerprint technology is an extremely effective tool for monitoring plant growth,with potential applications in agricultural management and plant growth.(2)This study used electroanalytical sensing technology to monitor the growth of three different species of maple trees,including Acer cinnamomifolium,Acer sinopurpurascens and Acer palmatum ’Matsumurae’.The feasibility of using this technology for monitoring the physiology of highly differentiated plants was explored and further validated.The study analyzed the changes in electrochemical fingerprints of these three species of maple trees throughout a one-year growth cycle.The results showed that the differences in electrochemical fingerprints of maple trees could be used to distinguish different species and to identify the growth stages of the trees during different seasons.A recognition flowchart based on electrochemical fingerprint recognition was proposed in this study.(3)This study established an identification pattern of electrochemical fingerprint spectra for38 species of maple plants,and explored the application of electrochemical fingerprint spectra technology in the identification and classification of plants in the same genus.The experiment used ethanol and water to extract leaves from maple plants,and used them with acetic acid buffer and phosphate buffer solutions to obtain voltammetric signals through electroanalytical sensing technology,and further processed them to obtain electrochemical fingerprint spectra.To improve the data richness and solve the problem of certain similarities in electrochemical fingerprint spectra under a single condition,this study collected electrochemical fingerprint spectra under four different conditions.Cluster analysis and principal component analysis were used to analyze the electrochemical fingerprint spectra under different conditions,and multiple pattern recognition techniques were constructed to quickly and accurately identify maple plants.In addition,this study conducted phylogenetic analysis of the electrochemical fingerprint spectra of maple plants and discussed the results.The results showed that the electrochemical fingerprint spectra technology has broad application prospects in plant classification and phylogenetic research.