Flow-Injection Analysis of Chlorophenoxyacid Herbicides using Photochemically Induced Fluorescence Detection<sup>a</sup>

García, Luisa; Eremin, Sergei A.; Aaron, Jean‐Jacques

doi:10.1080/00032719608001493

Cited by 17 publications

(9 citation statements)

References 14 publications

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“…From an analytical point of view, it is not necessary to identify the structure of the fluorescent compound formed after irradiation because the PIF signals are reproducible and directly proportional to the concentration of nonfluorescent analyte. As example, chlorophenoxyacid herbicides do not show native fluorescence but as well as other aromatic pesticides, they can be photolyzed into strongly fluorescent photoproducts [8], allowing the establishment of a new method for their quantitative analysis in methanolic medium [12,13]. Also, the influence of the presence of organized media such as cationic, anionic and non-ionic surfactants has been studied with regard to the PIF properties of these herbicides in static and flowing stream solutions, allowing the use of PIF detection for the sensitive determination of 2,4-Dichlorophenoxyacetic acid (2,4-D) and Mecoprop (MCPP) in a cationic micellar medium, avoiding the need to use organic solvents [14,15].…”

Section: Introductionmentioning

confidence: 99%

Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants

et al. 2003

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A study on using non-parametric statistical methods was carried out to calculate the binding constant of an inclusion complex and to estimate its associated uncertainty. First, a correct evaluation of the stoichiometry was carried out in order to ensure an accurate determination of the binding constant. For this purpose, the modified Benesi-Hildelbrand method had been previously applied. Then, four statistical methods (three non-parametric methods: two bootstrap approaches, the jackknife method and a parametric one: Fieller's theorem) were employed in order to compute the binding constant. The results obtained from applying these methods and the combination of the methods: jackknife after bootstrap and bootstrap after jackknife were compared. The best results in terms of accuracy were obtained from the application of a bootstrap method: the resampling residuals approach. These procedures were applied to the inclusion complex 2-hydroxil-propyl-beta-cyclodextrin-2,4-dichloro-phenoxyacetic, which shows photochemically-induced fluorescence.

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Section: Introductionmentioning

confidence: 99%

Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants

et al. 2003

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“…Also, Brown et al [152] proposed a PIF approach based on complexation with morin and combined with TLC to screen phenyltin fungicides in potato extracts down to 10 ng ml -1 . [21,143,144] have also reported PIF detection coupled with FIA for the determination of several types of aromatic pesticides. This system allows improving significantly the sampling rate.…”

Section: Pif-complexation Combined With Hplc and Tlcmentioning

confidence: 99%

“…Generally, PIF methods are considered as efficient fluorophore-generating systems for stationary media [132][133][134][135][136][137][138][139][140][141] as well as for flowing devices such as HPLC post-column photoreaction [142,[145][146][147][148][149] or FIA [21,[142][143][144]. Among the various parameters controlling the analyte conversion photoreaction and method sensitivity, two are particularly important, namely the optimum UV irradiation time (t irr opt , corresponding to the maximum PIF signal) [132,135,138] and the type of solvent [132,135,138,142,149].…”

Section: Pif Optimal Analytical Conditionsmentioning

confidence: 99%

Luminescence methods in pesticide analysis. Applications to the environment

Aaron¹,

Coly²

2000

Analusis

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DossierLuminescence spectroscopy such as the need for pretreatment procedures in the case of weakly volatile and/or thermally labile pesticides (e.g., carbamates, phenylureas and sulfonylureas). The second most utilized method is HPLC, with UV-visible absorption detectors; it remains the technique of choice for screening work.The use of luminescence techniques (especially fluorescence) for organic pesticide residue analysis has been limited by the fact that, relatively few of these compounds are strongly luminescent. However, many compounds do possess the necessary degree of aromaticity and may be converted into luminescent species using a variety of methods. Hence, two distinct cases have to be considered. (i) If the pesticide under study is luminescent, then it can be determined directly; (ii) if the pesticide is non or weakly luminescent, it can be converted into a luminescent compound using various physicochemical means, including chemical and/or photochemical reactions.Derivatization reactions constitute an important aspect of pesticide luminescence analysis since many pesticides have one or more functional groups and can be converted into more stable derivatives to successfully ensure environmental analysis. The number of papers, especially reviews [8][9][10][11][12][13] and books [14][15][16][17], in which this subject is discussed, demonstrates this increase of the derivatization use.In this review, the most important publications concerning significant advances in the luminescence methodology, instrumentation and applications to environmental analysis of pesticides will be reported. We will describe the recent available literature on direct and indirect fluorimetric methods, photochemically-induced fluorescence, photosensitized fluorescence and phosphorimetric methods used for pesticide analysis. As it will be shown, recent instrumentation, including sophisticated electronics and precise optical systems, makes luminescence a highly sensitive and selective tool for pesticide residue detection. Fluorimetric methodsAn early work on the fluorescence of pesticides has been performed in stationary solutions, (i.e., batch procedure) by

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“…These methods are selective enough, being the cross-reactivity of MCPA between 0.3 and 13.8%. Moreover, in recent years static [21,22] and flow injection methods [23,24] have been described for the determination of chlorophenoxyacid herbicides with fluorescence detection that provides detection limits for MCPA in the range of 74 µg·mL -1 .…”

Section: Introductionmentioning

confidence: 99%

FI on-line chemiluminescence reaction for determination of MCPA in water samples

2011

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This paper reports an economic, simple and rapid FI-CL method for the determination of MCPA. This method requires simple instrumentation and it is fast enough to be used in routine analyses. Chemiluminescence signal is generated by reaction between photodegraded MCPA and ferricyanide solution in alkaline medium. All physical and chemical parameters in the flow injection chemiluminescence system were optimized in the experimental setting. To eliminate the interferences a solid phase extraction stage with SDB-1 cartridges and ethanol elution is applied. The signal-MCPA concentration relation is linear in concentration intervals between 0.0015 μg·mL -1 and 0.6 μg·mL -1 . The calibration lines are statistically similar in different working conditions: standards with ethanol without extraction and standards with ethanol and extraction, allowing standards to be excluded from the extraction step, which simplifies the process. The detection limit (DL) is 0.5 ng·mL -1 , which is the same order as the maximum limit established in legislation regarding pesticide limits in water destined for human consumption. A DL of 0.13 ng·mL -1 can be reached if a sample of 100 mL is preconcentrated. The interday variance coefficient is 3% and the sample throughput is 90 hour -1 . The water analysis method is efficient with relative error percentages lower than 5% with respect to the added concentration.

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Flow-Injection Analysis of Chlorophenoxyacid Herbicides using Photochemically Induced Fluorescence Detection^a

Cited by 17 publications

References 14 publications

Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants

Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants

Luminescence methods in pesticide analysis. Applications to the environment

FI on-line chemiluminescence reaction for determination of MCPA in water samples

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Flow-Injection Analysis of Chlorophenoxyacid Herbicides using Photochemically Induced Fluorescence Detectiona

Cited by 17 publications

References 14 publications

Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants

Applying non-parametric statistical methods to the classical measurements of inclusion complex binding constants

Luminescence methods in pesticide analysis. Applications to the environment

FI on-line chemiluminescence reaction for determination of MCPA in water samples

Contact Info

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Flow-Injection Analysis of Chlorophenoxyacid Herbicides using Photochemically Induced Fluorescence Detection^a