Pesticide residue screening using a novel artificial neural network combined with a bioelectric cellular biosensor.
We developed a novel artificial neural network (ANN) system able to detect and classify pesticide residues. The novel ANN is coupled, in a customized way, to a cellular biosensor operation based on the bioelectric recognition assay (BERA) and able to simultaneously assay eight samples in three minut...
| Publicado en: | BioMed Research International Vol. 2013; pp. 813519 - 813520 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104090810&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104090810 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104090810 2012240587 NLM23984408 PMC3745894 104090810 ppf: 813519 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Pesticide residue screening using a novel artificial neural network combined with a bioelectric cellular biosensor. aug: au: Ferentinos, Konstantinos P Yialouris, Costas P Blouchos, Petros Moschopoulou, Georgia Kintzios, Spyridon affil: Laboratory of Informatics, School of Food Science, Biotechnology and Development, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece. sug: subj: Biosensing Techniques Equipment and Supplies Biosensing Techniques Methods Electricity Neural Networks (Computer) Pesticides Analysis Animals Acids, Acyclic Analysis Cell Line Mice Organophosphorus Compounds Analysis Insecticides Analysis ab: We developed a novel artificial neural network (ANN) system able to detect and classify pesticide residues. The novel ANN is coupled, in a customized way, to a cellular biosensor operation based on the bioelectric recognition assay (BERA) and able to simultaneously assay eight samples in three minutes. The novel system was developed using the data (time series) of the electrophysiological responses of three different cultured cell lines against three different pesticide groups (carbamates, pyrethroids, and organophosphates). Using the novel system, we were able to classify correctly the presence of the investigated pesticide groups with an overall success rate of 83.6%. Considering that only 70,000-80,000 samples are annually tested in Europe with current conventional technologies (an extremely minor fraction of the actual screening needs), the system reported in the present study could contribute to a screening system milestone for the future landscape in food safety control. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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