| dc.contributor.author |
Ferentinos, KP |
en |
| dc.contributor.author |
Yialouris, CP |
en |
| dc.contributor.author |
Blouchos, P |
en |
| dc.contributor.author |
Moschopoulou, G |
en |
| dc.contributor.author |
Kintzios, S |
en |
| dc.date.accessioned |
2014-06-06T06:52:44Z |
|
| dc.date.available |
2014-06-06T06:52:44Z |
|
| dc.date.issued |
2013 |
en |
| dc.identifier.issn |
23146133 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1155/2013/813519 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/6149 |
|
| dc.subject.other |
carbamic acid derivative |
en |
| dc.subject.other |
organophosphate |
en |
| dc.subject.other |
pesticide residue |
en |
| dc.subject.other |
pyrethroid |
en |
| dc.subject.other |
carbamic acid derivative |
en |
| dc.subject.other |
organophosphate |
en |
| dc.subject.other |
pesticide residue |
en |
| dc.subject.other |
pyrethroid |
en |
| dc.subject.other |
animal cell |
en |
| dc.subject.other |
animal cell culture |
en |
| dc.subject.other |
animal experiment |
en |
| dc.subject.other |
article |
en |
| dc.subject.other |
artificial neural network |
en |
| dc.subject.other |
biosensor |
en |
| dc.subject.other |
human |
en |
| dc.subject.other |
human cell |
en |
| dc.subject.other |
human cell culture |
en |
| dc.subject.other |
mouse |
en |
| dc.subject.other |
neuroblastoma |
en |
| dc.subject.other |
nonhuman |
en |
| dc.subject.other |
screening |
en |
| dc.subject.other |
animal |
en |
| dc.subject.other |
cell line |
en |
| dc.subject.other |
electricity |
en |
| dc.subject.other |
equipment |
en |
| dc.subject.other |
genetic procedures |
en |
| dc.subject.other |
methodology |
en |
| dc.subject.other |
Animals |
en |
| dc.subject.other |
Biosensing Techniques |
en |
| dc.subject.other |
Carbamates |
en |
| dc.subject.other |
Cell Line |
en |
| dc.subject.other |
Electricity |
en |
| dc.subject.other |
Humans |
en |
| dc.subject.other |
Mice |
en |
| dc.subject.other |
Neural Networks (Computer) |
en |
| dc.subject.other |
Organophosphates |
en |
| dc.subject.other |
Pesticide Residues |
en |
| dc.subject.other |
Pyrethrins |
en |
| dc.title |
Pesticide residue screening using a novel artificial neural network combined with a bioelectric cellular biosensor |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1155/2013/813519 |
en |
| heal.identifier.secondary |
813519 |
en |
| heal.publicationDate |
2013 |
en |
| heal.abstract |
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. © 2013 Konstantinos P. Ferentinos et al. |
en |
| heal.journalName |
BioMed Research International |
en |
| dc.identifier.volume |
2013 |
en |
| dc.identifier.doi |
10.1155/2013/813519 |
en |