Pesticide Residue Screening Using a Novel Artificial Neural Network Combined with a Bioelectric Cellular Biosensor

Ferentinos, Konstantinos P.; Yialouris, Constantine P.; Blouchos, Petros; Moschopoulou, Georgia; Kintzios, Spyridon

doi:10.1155/2013/813519

Cited by 20 publications

(10 citation statements)

References 23 publications

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“…At the same time, it is possible to increase the amount of information received by assaying a single sample against a large number of different cell lines. The interpretation of the recorded bioelectric profiles can be further facilitated by novel user-friendly approaches, including the employment of artificial neural networks [33]. Naturally, long term toxic effects cannot be determined within the three minutes of the duration of the bioelectric profiling assay.…”

Section: Discussionmentioning

confidence: 99%

Cellular bioelectric profiling: a novel method to differentially assess the in vitro toxicity of pesticides

2017

JCEBC

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We present a novel approach for assessing pesticide toxicity on mammalian cells, by measuring the response patterns of four cell lines (two neuroblastoma and two fibroblast) to three different pesticide groups (carbamates, organophosphates, pyrethroids) at a broad range of concentrations. Two different aspects of the cellular bioelectric response are measured, namely the potential and the combined resistance + capacitance of the cell suspension. Both the cell line and the mode of measurement affected the observed in vitro cellular responses, with each cell type providing a unique pattern. The measured of resistance + capacitance through amperometry provided more reproducible results than potentiometry. The results of the study demonstrate the potential of bioelectric profiling as a tool for developing novel toxicity assays and associated biosensors with superior analytical capacity, speed of assay and the ability to respond to a broad spectrum of toxicants, at the same time satisfying the demand for increased cost-efficiency and ease of operation.

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Section: Discussionmentioning

confidence: 99%

Cellular bioelectric profiling: a novel method to differentially assess the in vitro toxicity of pesticides

2017

JCEBC

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“…A customized biosensor, previously used specifically for BERA-based tests, was employed, allowing for either potentiometric or cyclic voltammetric measurements [17,18]. Using either approach, different concentrations of 2,4,6-TCA will produce a unique pattern of biosensor response, like a 'signature'.…”

Section: Biosensor Devicementioning

confidence: 99%

Comparative Study of a Cell-Based and Electrochemical Biosensor for the Rapid Detection of 2,4,6-Trichloroanisole in Barrel Water Extracts

Moschopoulou

Mavrikou

Valdés³

et al. 2018

Beverages

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(1) Background: Fungal metabolites such as haloanisoles (especially 2,4,6-tribromoanisole/ 2,4,6-TCA) are contaminants of cork and wood barrels, materials that are widely used in the wine industry. Thus, the accurate and timely detection of these substances is very important for this sector of beverage industry. (2) Methods: Potentiometry was used for the Bioelectric Recognition Assay (BERA)-based experimental approach, where changes in the electric properties of the Vero cells modified with anti-TCA antibodies were recorded in response to the presence of 2,4,6-TCA in different concentrations. Furthermore, a second electrochemical biosensor system based on the cyclic voltammetric (CV) measurement of a reaction taking place on a screen printed electrode was developed in parallel to the customized application and configuration of the cell-based system. (3) Results: The BERA cell-based biosensor was able to quantitatively differentiate among the lower 2,4,6-TCA concentrations (control, 0.25 and 1.25 ng/L) from spiked oak barrel water extracts in an entirely distinct and reproducible manner. In contrast, the CV method was not sensitive enough to differentiate between the samples. (4) Conclusions: The present study indicates that the BERA-based biosensor after further development and optimization could be used for the routine, high throughput detection of 2,4,6-TCA in oak barrel water extracts.

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“…An optimal network architecture of 12 input neurons (for 12 sensors in the array), 5 neurons in the hidden layer with tansig function, and 4 neurons in the output layer was selected. A novel ANN system capable of detecting and classifying pesticide residues has been reported, 204 in which the ANN is coupled to a cellular biosensor operation based on BERA to simultaneously assay eight samples in 3 min. For a more detailed discussion on ANN, readers are encouraged to refer to the book chapter 199 on biosensors coupled with artificial intelligence.…”

Section: Biosensor Data Modelingmentioning

confidence: 99%

Development and Applications of Portable Biosensors

2015

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The significance of microfluidics-based and microelectromechanical systems-based biosensors has been widely acknowledged, and many reviews have explored their potential applications in clinical diagnostics, personalized medicine, global health, drug discovery, food safety, and forensics. Because health care costs are increasing, there is an increasing need to remotely monitor the health condition of patients by point-of-care-testing. The demand for biosensors for detection of biological warfare agents has increased, and research is focused on ways of producing small portable devices that would allow fast, accurate, and on-site detection. In the past decade, the demand for rapid and accurate on-site detection of plant disease diagnosis has increased due to emerging pathogens with resistance to pesticides, increased human mobility, and regulations limiting the application of toxic chemicals to prevent spread of diseases. The portability of biosensors for onsite diagnosis is limited due to various issues, including sample preparation techniques, fluid-handling techniques, the limited lifetime of biological reagents, device packaging, integrating electronics for data collection/analysis, and the requirement of external accessories and power. Many microfluidic, electronic, and biological design strategies, such as handling liquids in biosensors without pumps/valves, the application of droplet-based microfluidics, paper-based microfluidic devices, and wireless networking capabilities for data transmission, are being explored.

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Pesticide Residue Screening Using a Novel Artificial Neural Network Combined with a Bioelectric Cellular Biosensor

Cited by 20 publications

References 23 publications

Cellular bioelectric profiling: a novel method to differentially assess the in vitro toxicity of pesticides

Cellular bioelectric profiling: a novel method to differentially assess the in vitro toxicity of pesticides

Comparative Study of a Cell-Based and Electrochemical Biosensor for the Rapid Detection of 2,4,6-Trichloroanisole in Barrel Water Extracts

Development and Applications of Portable Biosensors

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