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Study Of A System For Pesticides Residμes Detection Based On AchE Biosensor And Internet Of Thing

Posted on:2016-02-12Degree:MasterType:Thesis
Country:ChinaCandidate:G ZhaoFull Text:PDF
GTID:2283330464454793Subject:Agricultural Engineering
Abstract/Summary:PDF Full Text Request
Pesticides are chemical substances applied to crops at various stages of cultivation and during the post-harvest storage of crops. The use of pesticides is intended to prevent the destruction of food crops by controlling agricultural pests or unwanted plants and to improve plant quality. Pesticide use in commercial agriculture has led to an increase in farm productivity. Despite the wide ranging benefits of using pesticides in agriculture, several incorrect applications can result in high and undesirable levels of the compounds in the produce that reaches consumers. These include inappropriate selection of pesticides used on foodstuffs, over use of pesticides and harvesting the crops before the residues have washed off after application.Monitoring of pesticides in fruit and vegetable samples has increased in the last years since most countries have es tablished maximum residue level(MRL) for pesticides in food products. With the explosive growth of smart phones, wireless technologies and sensor technologies have become a fundamental tool for everyday life around the world. The coming wave of interconnected devices, appliances, sensors, meters and countless other ―things‖ represents the next generation of a hyper-connected world, the Internet of Things. This study presents a system based on acetylcholinesterase(ACh E) biosensor and Internet of Things(Io T) for pesticide residues detection and agricultural products traceability. The system we presented based on ACh E biosensor and Io T aims to extend the benefits of the pesticide residues detection date —remote control ability, data processing and sharing, agricultural products traceability and so on —to detection devices(hypogynous computer) in detection locations. The ACh E biosensor was based on the inhibition of enzyme activity that was monitored by the change of oxidation current of the thiocholine using ordinary three electrodes and an own designed potentiostat. Detection devices could realize the rapid detection of pesticides residues in fruits and vegetables on-site with automatic data processing, display, print out and data storage.These detection data got from detection devices were further aggregated, processed and analyzed by Epigynous computer in order to extract useful information( detection time, production places, detection samples, pesticide residues values, detection inspector)which were effective in protecting the quality and safety of agricultural products. In this study, the code of useful information was used in form of QR code, tracing and retracing the safety of agricultural products was achieved efficiently and reliably. In view of above, we design and implement a system based on ACh E biosensor and Io T for pesticide residues detection and agricultural products traceability. It provides safe fruit and vegetable information for consumer and lay foundation for the traceability of agricultural product.
Keywords/Search Tags:Pesticide residues rapid detection, Acetylcholinesterase biosensor, Internet of things, QR barcode, Information sharing platform, Rraceability system
PDF Full Text Request
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