Coupling ASE, sylilation and SPME–GC/MS for the analysis of current-used pesticides in atmosphere

Raeppel, Caroline; Fabritius, Marie; Nief, Marie; Appenzeller, Brice; Millet, Maurice

doi:10.1016/j.talanta.2013.12.040

Cited by 35 publications

(14 citation statements)

References 22 publications

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“…The SPME coating was also evaluated and polyacrylate (PA) was preferred to polydimethylsiloxane/divinylbenzene (PDMS/ DVB). This was also observed by Jaber et al (2007) for bromoxynil and confirmed by Raeppel et al [15] for aryloxyacids herbicides (mecoprop-p, triclopyr, 2,4 MPCA and 2,4D). The SPME solution was acidified to pH 3 in order to obtain protonated aryloxyacids [16] and this pH modification did not alter the other molecules that were extracted by PDMS/DVB fiber.…”

Section: Spme/gc-ms/mssupporting

confidence: 82%

“…Variabilities are in many case relatively important and are the consequence of the successive steps (ASE C evaporation C SPME C GC-MS/MS) used in the method. However, these variabilities are in the same order of magnitude with those obtained by Scheyer et al, [16] Salqu ebre et al, [18] and Raeppel et al [15] for the same type of pesticides.…”

Section: Spme/gc-ms/mssupporting

confidence: 82%

“…The same calibration was used both for filters and resins as it can assumed more representative of adsorption processes than deposition of standard solutions of pesticides on clean filters. In addition, a recent paper [15] where calibration were performed with spiked filters and resins did not show a strong difference in terms of uncertainties and detection and quantification limits. These factors are more strongly pesticide dependent than matrix dependent.…”

Section: Methods Validationmentioning

confidence: 92%

See 2 more Smart Citations

Utilization of long duration high-volume sampling coupled to SPME-GC-MS/MS for the assessment of airborne pesticides variability in an urban area (Strasbourg, France) during agricultural application

Liaud

Schummer

et al. 2016

Journal of Environmental Science and Health, Part B

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Atmospheric samples have been collected between 14 March and 12 September 2012 on a 2-week basis (15 days of sampling and exchange of traps each 7 days) in Strasbourg (east of France) for the analysis of 43 pesticides. Samples (particle and gas phases) were separately extracted using Accelerated Solvent Extraction (ASE) and pre-concentrated by Solid Phase Micro-Extraction (SPME) before analysis by gas chromatography coupled to tandem mass spectrometry (GC-MS/MS). Four SPME consecutive injections at distinct temperatures were made in order to increase the sensitivity of detection for the all monitored pesticides. Currently used detected pesticides can be grouped in four classes; those used in maize crops (acetochlor, benoxacor, dicamba, s-metolachlor, pendimethalin, and bromoxynil), in cereal crops (benoxacor, chlorothalonil, fenpropimorph, and propiconazole), in vineyards (tebuconazole), and as herbicides for orchards, meadows of green spaces (2,4-MCPA, trichlopyr). This is in accordance with the diversity of crops found in the Alsace region and trends observed are in accordance with the period of application of these pesticides. Variations observed permit also to demonstrate that the long time sampling duration used in this study is efficient to visualize temporal variations of airborne pesticides concentrations. Then, long time high-volume sampling could be a simple method permitting atmospheric survey of atmospheric contamination without any long analysis time and consequently low cost.

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Section: Spme/gc-ms/mssupporting

confidence: 82%

Section: Spme/gc-ms/mssupporting

confidence: 82%

Section: Methods Validationmentioning

confidence: 92%

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Utilization of long duration high-volume sampling coupled to SPME-GC-MS/MS for the assessment of airborne pesticides variability in an urban area (Strasbourg, France) during agricultural application

Liaud

Schummer

et al. 2016

Journal of Environmental Science and Health, Part B

Self Cite

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“…For instance, Pressurized Liquid Extraction (PLE) 35–39 and Microwave Assisted Extraction (MAE) 19, 31, 40 have been used currently for pesticides extraction in particulate matter since they offer low consumption of organic solvents with high efficiency. However, these methods are not simple and require expensive and sophisticated apparatus 34 .…”

Section: Introductionmentioning

confidence: 99%

Pesticides in fine airborne particles: from a green analysis method to atmospheric characterization and risk assessment

Nascimento

Rocha

Andrade

2017

Sci Rep

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The intensive use of pesticides such as herbicides, insecticides, fungicides and acaricides has been lead to ubiquitous contamination, being present not only in soils, water bodies and/or crops, but also in the atmosphere. Considering the massive amount of pesticides employed globally, together to their persistence, this may be an important concern regarding air quality and human health worldwide. In the present study we developed a green sensitive sample preparation method for determination of nine organophosphates, two pyrethroids, one carbamate, and one strobirulin in PM2.5 collected in a tropical coastal area in the Southern Hemisphere for the first time. Extraction of PM2.5 sample masses, as low as 206 µg, were performed in a miniaturized device using 500 μL of a mixture containing 18% acetonitrile in dichloromethane followed by sonication for 23 minutes and injection into GC-MS. A total of 12 pesticides were identified and quantified successfully, among them, eight banned pesticides. A risk assessment exposure and cancer risk for possible carcinogenic pesticides (bifenthrin, malathion, parathion and permethrin) were performed for exposure of adults, children and infants. Hazard Quotient and cumulative exposure for organophosphate and pyrethroid pesticides were less than 1, showing that cumulative risk is within acceptable range.

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“…By estimating the flow rate of the high-volume sampler in about 1.4 m 3 /min, the observed atmospheric concentration of emamectin benzoate was of 0.02 ng/m 3 . Literature experiments reported ambient air in concentrations ranging from few pg/m 3 to several ng/m 3 [72,73,[83][84][85][86][87][88], but each study showed its own peculiarities. In particular, the sampled pesticides often have different chemical and physical characteristics, the use of several types of sampling equipment and application techniques, the different weather conditions, etc.…”

Section: On-site Measurement Campaignmentioning

confidence: 99%

Atmospheric Dispersion Modelling and Spatial Analysis to Evaluate Population Exposure to Pesticides from Farming Processes

et al. 2018

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This work originates from an epidemiological study aimed to assess the correlation between population exposure to pesticides used in agriculture and adverse health effects. In support of the population exposure evaluation two models implemented by the authors were applied: a GIS-based proximity model and the CAREA atmospheric dispersion model. In this work, the results of the two models are presented and compared. Despite the proximity analysis is widely used for these kinds of studies, it was investigated how meteorology could affect the exposure assessment. Both models were applied to pesticides emitted by 1519 agricultural fields and considering 2584 receptors distributed over an area of 8430 km 2 . CAREA output shows a considerable enhancement in the percentage of exposed receptors, from the 4% of the proximity model to the 54% of the CAREA model. Moreover, the spatial analysis of the results on a specific test site showed that the effects of meteorology considered by CAREA led to an anisotropic exposure distribution that differs considerably from the symmetric distribution resulting by the proximity model. In addition, the results of a field campaign for the definition and planning of ground measurement of concentration for the validation of CAREA are presented. The preliminary results showed how, during treatments, pesticide concentrations distant from the fields are significantly higher than background values.

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Coupling ASE, sylilation and SPME–GC/MS for the analysis of current-used pesticides in atmosphere

Cited by 35 publications

References 22 publications

Utilization of long duration high-volume sampling coupled to SPME-GC-MS/MS for the assessment of airborne pesticides variability in an urban area (Strasbourg, France) during agricultural application

Utilization of long duration high-volume sampling coupled to SPME-GC-MS/MS for the assessment of airborne pesticides variability in an urban area (Strasbourg, France) during agricultural application

Pesticides in fine airborne particles: from a green analysis method to atmospheric characterization and risk assessment

Atmospheric Dispersion Modelling and Spatial Analysis to Evaluate Population Exposure to Pesticides from Farming Processes

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