Sequential injection kinetic spectrophotometric determination of quaternary mixtures of carbamate pesticides in water and fruit samples using artificial neural networks for multivariate calibration

Chu, Ning; Fan, Suhua

doi:10.1016/j.saa.2009.09.030

Cited by 22 publications

(11 citation statements)

References 24 publications

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“…Spectrophotometry determination is often based on diazotization reaction (several reagents have been proposed) to obtain azo-dye compounds. 4,5 Fluorescence has also been applied, often employing compounds such as cyclodextrins 6 to enhance the emission since most carbamates have poor fluorescence.…”

Section: Introductionmentioning

confidence: 99%

Photoinduced chemiluminescence determination of carbamate pesticides

Catalá-Icardo

Lloret

Torres-Cartas

2016

Photochem Photobiol Sci

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Royal Society of ChemistryCatalá-Icardo, M.; Meseguer-Lloret, S.; Torres-Cartas, S. (2016 A liquid chromatography method with post-column photoinduced chemiluminescence (PICL) detection is proposed for the simultaneous determination of eight carbamate pesticides, namely aldicarb, butocarboxim, ethiofencarb, methomyl, methiocarb, thiodicarb, thiofanox and thiophanate-methyl. After chromatographic separation, quinine (sensitizer) was incorporated and the flow passed through an UV lamp (67 s of irradiation time) to obtain the photoproducts, which reacted qith acidic Ce(IV) and provided a CL emission. The PICL method showed great selectivity for carbamate pesticides containing sulphur in their chemical structure. A solid-phase extraction process increased sensitivity (LODs ranging from 0.06 to 0.27 ng mL -1) and allowed the carbamate pesticides in surface and ground water samples to be determined, with recoveries in the range 87-110% (except for thiophanate-methyl, whose recoveries were between 60 and 75%). The intraand inter-day precision was evaluated, with RSD ranging from 1.1 to 7.5% and from 2.6 to 12.3%, respectively. A discussion about the PICL mechanism is also included.

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Section: Introductionmentioning

confidence: 99%

Photoinduced chemiluminescence determination of carbamate pesticides

Catalá-Icardo

Lloret

Torres-Cartas

2016

Photochem Photobiol Sci

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“…They have been increasingly popular on the account of their broad insecticidal activities, low mammalian toxicities, and low persistence characteristics when compared to organochlorine and organophosphorus pesticides [1]. However, due to their intensive uses, residues can be found in different environmental compartments [2] as well as in agricultural products.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of an ultrasound-assisted surfactant-enhanced emulsification microextraction method for liquid chromatographic determination of carbamate residues in fruit juices

Vichapong¹,

Burakham²

2015

Acta Chromatographica

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Summary.A microextraction procedure based on ultrasound-assisted surfactantenhanced emulsification microextraction (UASEME) was optimized and validated for preconcentration of carbamate pesticides prior to fast determination using high-performance liquid chromatography (HPLC) with monolithic column. The nonionic surfactant (Tween 20) was used as an emulsifier, and chloroform was selected as an extraction solvent. The experimental parameters affecting the extraction efficiency, such as the kind, concentration, and volume of surfactant, the kind of extraction solvent and its volume, salt addition, ultrasonic extraction time, and centrifugation time, were optimized. Under the selected UASEME and HPLC conditions, separation of five carbamate pesticides (carbofuran, carbaryl, isoprocarb, methiocarb, and promecarb) was achieved within 10 min. The linearity of the method was obtained in the wide range of 2-5000 μg L −1 , with correlation coefficients of 0.9931-0.9970. The limits of detection were in the range of 0.4-7.0 μg L −1 . The relative standard deviations (n = 5) were less than 0.59% and 4.86% for retention time and peak area, respectively. The enrichment factors of the developed UASEME method were in the range of 33-166. The fruit juice samples (at fortified levels of 0.25, 0.50, and 1.00 mg L −1 ) were successfully analyzed, and the relative recoveries were obtained in the range of 81-115%.

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“…ANN has been often applied for simultaneous determination of analytes in multicomponent problems [20,24]. With proper training, ANN can accurately model the presence of synergistic effects and avoid the potential loss of kinetic data for mixtures resulting from very short periods [25].…”

Section: Radial Basis Function Artificial Neural Network (Ann)mentioning

confidence: 99%