Stir bar sorptive extraction kit for determination of pesticides in water samples with chemometric data processing

Gorji, Setare; Biparva, Pourya; Bahram, Morteza; Nematzadeh, Ghorbanali

doi:10.1016/j.microc.2019.04.056

Cited by 33 publications

(3 citation statements)

References 26 publications

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“…As represented in Figure S4, it is evident that, AgNPs/N6-based stir bars can be reused for extraction of OPPs from aqueous sample for more than 20 times, without any significant decrease in the extraction efficiency. Also, it is evident that the prepared stir bars are chemically and mechanically stable during more than 20 times extractions, which is more stable than other reported stir bars [34].…”

Section: Lifetime and Reproducibility Of The Prepared Stir Barsmentioning

confidence: 64%

“…The developed SBSE-GC-MS method for the measurement of some OPP compounds was compared with other methods reported in literature and the figure of merit for various methods [34][35][36][37][38][39] are represented in Table 2. Accordingly, the developed method provides lower LODs compared to some researches [35,[37][38][39] and wider LDR in comparison with some cases [36,37,39] and comparable LOD and LDR in comparison with the rest of researches.…”

Section: Comparison Of the Developed Methods With The Other Reported Researchesmentioning

confidence: 99%

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A monolithic mixed matrix membrane based on silver nanoparticle/nylon‐6 nanocomposite: A novel coating for stir bar sorptive extraction of organophosphorus pesticides

Ayazi

Esfahlan

2021

Separation Science Plus

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In this research, a novel monolithic mixed matrix membrane based on silver nanoparticles reinforced nylon 6 was prepared by in situ reduction of silver nitrate salt in a formic acid solution of nylon 6. The phase separation method was employed to deposit prepared nanocomposite onto a stainless steel substrate. The characterization of nylon 6 and silver nanoparticles/nylon 6 nanocomposite coated stir bars were conducted applying scanning electron microscopy, X-ray diffraction, and energy dispersive X-ray spectroscopy. The prepared stir bar was employed for the stir bar sorptive extraction of organophosphorus pesticides such as ethion, phosalone, and chlorpyrifos in environmental water samples applying gas chromatography with mass spectrometry. The effect of the silver nanoparticles doping level in the nanocomposite on the extraction efficiency of the monolithic mixed matrix membrane was studied. Multivariate optimization based on the central composite design was employed to study and optimize essential parameters affecting the extraction and elution steps. The limits of detection were 0.2 and 0.3 ng/mL and the linear dynamic ranges were in the concentration range of 0.7-1000 and 1-1000 ng/mL for all analytes. The method precision based on relative standard deviation by performing six replicates ranged from 2.4 to 7.4% for spiked distilled water (100 ng/mL).

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Section: Lifetime and Reproducibility Of The Prepared Stir Barsmentioning

confidence: 64%

Section: Comparison Of the Developed Methods With The Other Reported Researchesmentioning

confidence: 99%

A monolithic mixed matrix membrane based on silver nanoparticle/nylon‐6 nanocomposite: A novel coating for stir bar sorptive extraction of organophosphorus pesticides

Ayazi

Esfahlan

2021

Separation Science Plus

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“…Te current methods have introduced improvements to avoid the high consumption of solvents and long extraction steps. Several alternatives include matrix solid-phase dispersion (MSPD) [16]; dispersive liquid-liquid microextraction based on solidifcation of foating organic drop (DLLME-SFO) [17,18]; liquid-phase microextraction (LPME) [19]; microwave-assisted extraction (MAE) [20]; the quick, easy, cheap, efective, rugged, and safe (QuEChERS) method [21]; supercritical fuid extraction (SFE) [22]; solid-phase extraction (SPE) [23]; solidphase microextraction (SPME) [24,25]; and stir bar sorptive extraction (SBSE) [26]. Notably, extraction technique selection depends on the characteristics of the pesticide, the matrix, and the system availability.…”

Section: Introductionmentioning

confidence: 99%

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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Recent advances and trends in miniaturized sample preparation techniques

Burato

Medina

Toffoli

et al. 2019

J of Separation Science

168

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Advances in the area of sample preparation are significant and have been growing significantly in recent years. This initial step of the analysis is essential and must be carried out properly, consisting of a complicated procedure with multiple stages. Consequently, it corresponds to a potential source of errors and will determine, at the end of the process, either a satisfactory result or a fail. One of the advances in this field includes the miniaturization of extraction techniques based on the conventional sample preparation procedures such as liquid‐liquid extraction and solid‐phase extraction. These modern techniques have gained prominence in the face of traditional methods since they minimize the consumption of organic solvents and the sample volume. As another feature, it is possible to reuse the sorbents, and its coupling to chromatographic systems might be automated. The review will emphasize the main techniques based on liquid‐phase microextraction, as well as those based upon the use of sorbents. The first group includes currently popular techniques such as single drop microextraction, hollow fiber liquid‐phase microextraction, and dispersive liquid‐liquid microextraction. In the second group, solid‐phase microextraction techniques such as in‐tube solid‐phase microextraction, stir bar sorptive extraction, dispersive solid‐phase extraction, dispersive micro solid‐phase microextraction, and microextraction by packed sorbent are highlighted. These approaches, in common, aim the determination of analytes at low concentrations in complex matrices. This article describes some characteristics, recent advances, and trends on miniaturized sample preparation techniques, as well as their current applications in food, environmental, and bioanalysis fields.

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Stir bar sorptive extraction kit for determination of pesticides in water samples with chemometric data processing

Cited by 33 publications

References 26 publications

A monolithic mixed matrix membrane based on silver nanoparticle/nylon‐6 nanocomposite: A novel coating for stir bar sorptive extraction of organophosphorus pesticides

A monolithic mixed matrix membrane based on silver nanoparticle/nylon‐6 nanocomposite: A novel coating for stir bar sorptive extraction of organophosphorus pesticides

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

Recent advances and trends in miniaturized sample preparation techniques

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