Assessment of pesticides in water using time-weighted average calibration of passive sampling device manufactured with carbon nanomaterial coating on stainless steel wire

Valenzuela, Eduard F.; Paula, Fabiano F de; Teixeira, Ana Paula C.; Menezes, Helvécio Costa; Cardeal, Zenilda de Lourdes

doi:10.1007/s00216-021-03270-2

Cited by 11 publications

(6 citation statements)

References 54 publications

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“…Te PARA (Programa de Análise de Resíduos de Agrotóxicos em Alimentos) and PNCRC (Plano Nacional de Controle de Resíduos e Contaminantes) pesticide residue monitoring programs reported evidence of these specifc pesticides in Brazil between 2001 and 2010 [55]. It should be pointed out that a previous study by our group detected organochlorine compounds in Brazilian environmental water [30,31]; however, they were not detected in the present study.…”

Section: Application To Apple Samplescontrasting

confidence: 69%

“…According to Raman spectroscopy experiments (Supplementary Material; Figure S1), G and D bands (1584 cm −1 and 1358 cm −1 , respectively) were observed in the sample spectrum. It was previously reported that the G band observed in the substrate deposited on the metal surface is related to graphiticlike structures, and the D band is related to defects in these structures [31]. Tis observation made it possible to determine the types of synthesized CNMs.…”

Section: Preparation and Characterization Of Cnm Fibersmentioning

confidence: 94%

“…Te data related to the preparation and characterization of the CNM fbers were described previously [30,31], providing some carbon structure information. According to Raman spectroscopy experiments (Supplementary Material; Figure S1), G and D bands (1584 cm −1 and 1358 cm −1 , respectively) were observed in the sample spectrum.…”

Section: Preparation and Characterization Of Cnm Fibersmentioning

confidence: 99%

“…Tis observation made it possible to determine the types of synthesized CNMs. Moreover, the scanning electron microscopy (SEM) images (Supplementary Material; Figure S2) revealed the complete covering of the rod with a rough layer on the steel after CNM growth [31].…”

Section: Preparation and Characterization Of Cnm Fibersmentioning

confidence: 99%

“…Te results highlighted the great absorption capacity of nanomaterials to remove contaminants. Te implementation of CNMs as passive sampling devices was also efcient when analyzing pesticides in water [31].…”

Section: Introductionmentioning

confidence: 99%

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Development of a Simple Integrative Carbon Nanomaterial Microextraction Method with GC-MS for Assessing Pesticide Residues in Apples

Valenzuela

André

Menezes

et al. 2023

Journal of Chemistry

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The present study describes an efficient analytical method for analyzing apple pesticide residues. This novel approach employs ultrasound-assisted cleaning (UAC), solid-phase microextraction (SPME), and gas chromatography/mass spectrometry (GC-MS). A fiber coating with carbon nanomaterials (CNMs) was used for the extraction process. The methodology underwent extraction process optimization and analytical method validation. Moreover, its applicability for detecting pesticides in apples was evaluated. The validation showed satisfactory results with linearity coefficients greater than 0.99 (R2 > 0.99) and linear working ranges from 0.5 ng·g−1 to 300.0 ng·g−1. The limits of detection and quantification (LODs and LOQs) ranged from 0.1 ng·g−1 to 0.3 ng·g−1 and from 0.5 ng·g−1 to 0.7 ng·g−1, respectively. The calculated recovery values ranged from 79% to 98%. The precision presented a relative standard deviation (RSD) lower than 14%. The validated method was applied to apple samples acquired from different markets and fruit stands in Belo Horizonte, Minas Gerais, Brazil. Organophosphate pesticides typically used in Brazilian apple production areas were detected in some samples. This study demonstrates the utility of UAC and CNM microextraction as an effective and highly efficient approach for analyzing pesticides in apples.

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Section: Application To Apple Samplescontrasting

confidence: 69%

Section: Preparation and Characterization Of Cnm Fibersmentioning

confidence: 94%

Section: Preparation and Characterization Of Cnm Fibersmentioning

confidence: 99%

Section: Preparation and Characterization Of Cnm Fibersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of a Simple Integrative Carbon Nanomaterial Microextraction Method with GC-MS for Assessing Pesticide Residues in Apples

Valenzuela

André

Menezes

et al. 2023

Journal of Chemistry

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TWAc‐Check: A New Approach to Determine the Appropriate Use of Time‐Weighted Average Concentration in Aquatic Risk Assessment

Wolf

Gabsi²,

Bruns

et al. 2022

Enviro Toxic and Chemistry

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In pesticide risk assessment, regulatory acceptable concentrations for surface water bodies (RACsw,ch) are used that are derived from standard studies with continuous exposure of organisms to a test compound for days or months. These RACsw,ch are compared with the maximum tested concentration of more realistic exposure scenarios. However, the actual exposure duration could be notably shorter (e.g., hours) than the standard study, which intentionally leads to an overly conservative Tier 1 risk assessment. This discrepancy can be addressed in a risk assessment using the time‐weighted average concentration (TWAc). In Europe, the applicability of TWAc for a particular risk assessment is evaluated using a complex decision scheme, which has been controversial; thus we propose an alternative approach: We used TWAc‐check (which is based on the idea that the TWAc concept is just a model for aquatic risk assessment) to test whether the use of a TWAc is appropriate for such assessment. The TWAc‐check method works by using predicted–measured diagrams to test how well the TWAc model predicts experimental data from peak exposure experiments. Overestimated effects are accepted because the conservatism of the TWAc model is prioritized over the goodness of fit. We illustrate the applicability of TWAc‐check by applying it to various data sets for different species and substances. We demonstrate that the applicability is case dependent. Specifically, TWAc‐check correctly identifies that the use of TWAc is not appropriate for early onset of effects or delayed effects. The proposed concept shows that the time window is a decisive factor as to whether or not the model is acceptable and that this concept can be used as a potential refinement option prior to the use of toxicokinetic‐toxicodynamic models. Environ Toxicol Chem 2022;41:1778–1787. © 2022 Bayer AG. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

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Trends in Nanostructured Sorbent Materials for Passive Sampling Applications

Minho

Valenzuela

Menezesand

et al. 2023

Materials Horizons: From Nature to Nanomaterials

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Assessment of pesticides in water using time-weighted average calibration of passive sampling device manufactured with carbon nanomaterial coating on stainless steel wire

Cited by 11 publications

References 54 publications

Development of a Simple Integrative Carbon Nanomaterial Microextraction Method with GC-MS for Assessing Pesticide Residues in Apples

Development of a Simple Integrative Carbon Nanomaterial Microextraction Method with GC-MS for Assessing Pesticide Residues in Apples

TWAc‐Check: A New Approach to Determine the Appropriate Use of Time‐Weighted Average Concentration in Aquatic Risk Assessment

Trends in Nanostructured Sorbent Materials for Passive Sampling Applications

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