Large multiresidue analysis of pesticides in edible vegetable oils by using efficient solid-phase extraction sorbents based on quick, easy, cheap, effective, rugged and safe methodology followed by gas chromatography–tandem mass spectrometry

Vázquez, P. Parrilla; Hakme, Elena; Uclés, Samanta; Cutillas, Víctor; Galera, M. Martı́nez; Mughari, Ahmed R.; Fernández‐Alba, Amadeo R.

doi:10.1016/j.chroma.2016.08.008

Cited by 78 publications

(21 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3), these results cannot be considered optimal due to recovery overestimation caused by the presence of matrix interferences. Dissimilar finding was revealed in study performed by Dias et al (2016) and Parrilla Vázquez et al (2016), who found EMR-Lipid superior to Z-Sep sorbent. However, this difference can be explained by the fact that the authors conducted experiments for samples of other edible oils than rapeseed oil, for different analytes, and with application of other instrumentation.…”

Section: Optimization Of Quechers-based Extraction Followed By Spe Anmentioning

confidence: 60%

“…Additionally, novel EMR-Lipid (enhanced matrix removal-lipid) was taken into evaluation. This clean-up material was so far assessed for analysis of pesticides in kale, pork, salmon and avocado (Han et al 2016), olive oil, olives and avocado (López-Blanco et al 2016), as well as edible oils (Dias et al 2016;Parrilla Vázquez et al 2016;He et al 2017). In our study, EMR-Lipid removed less interference than 75 mg of Z-Sep, which is shown in overlaid chromatograms of blank samples obtained after application of both clean-up solutions (Fig.…”

Section: Optimization Of Quechers-based Extraction Followed By Spe Anmentioning

confidence: 99%

“…Moreover, a freezingout step prior to d-SPE has been introduced for initial clean-up of the edible oil extracts (Parrilla Vázquez et al 2016). Current developments of extraction methods based on modifications to the QuEChERS procedure were elaborated by several authors (Polgár et al 2012, Ruiz-Medina et al 2012, Moreno-González et al 2014, Parrilla Vázquez et al 2016, Dias et al 2016, He et al 2017.…”

Section: Introductionmentioning

confidence: 99%

“…Both gas chromatography (GC) (Guardia-Rubio et al 2006, López-Feria et al 2009, Deme et al 2014, He et al 2017, Parrilla Vázquez et al 2016) and liquid chromatography (LC) (Gilbert-López et al 2010, Sobhanzadeh et al 2011, Polgár et al 2012, Moreno-González et al 2014) coupled with mass spectrometry (MS), or tandem mass spectrometry (MS/ MS) detection, are widely used for the determination of pesticides in vegetable oils. Nevertheless, less selective highperformance liquid chromatography with diode array detector (HPLC-DAD) was also successfully applied to the analysis of pesticide residues in edible oils (Jaabiri et al 2013, Ma et al 2016).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Method Development for Sulfonylurea Herbicides Analysis in Rapeseed Oil Samples by HPLC–DAD: Comparison of Zirconium-Based Sorbents and EMR-Lipid for Clean-up of QuEChERS Extract

Rejczak

Tuzimski

2017

Food Anal. Methods

View full text Add to dashboard Cite

This study develops a simple, cost-effective and sensitive high-performance liquid chromatography with diode array detector (HPLC-DAD) method for the simultaneous determination of eight sulfonylurea herbicides (oxasulfuron, metsulfuron-methyl, triasulfuron, chlorsulfuron, amidosulfuron, mesosulfuron-methyl, bensulfuron-methyl and tritosulfuron) in rapeseed oil. Extraction of target analytes was performed using quick, easy, cheap, effective, rugged and safe-based procedure followed by solid-phase extraction (SPE) and dispersive solid-phase extraction (d-SPE) cleanup, and presents good performance for all of the analytes with recoveries in the range of 67-133% and relative standard deviations (RSD) less than 15%. No significant matrix interference was observed due to the application of effective zirconium dioxide-based sorbent (Z-Sep). Method LOQs for most of the investigated analytes were set at satisfactory low value of 20 ng g −1 in food product. The procedure was evaluated in analyses of actual samples. The most important steps of the method optimization are presented. Novel EMR-Lipid cleanup solution for samples with high fat content was evaluated and compared to Z-Sep sorbent.

show abstract

Section: Optimization Of Quechers-based Extraction Followed By Spe Anmentioning

confidence: 60%

Section: Optimization Of Quechers-based Extraction Followed By Spe Anmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Method Development for Sulfonylurea Herbicides Analysis in Rapeseed Oil Samples by HPLC–DAD: Comparison of Zirconium-Based Sorbents and EMR-Lipid for Clean-up of QuEChERS Extract

Rejczak

Tuzimski

2017

Food Anal. Methods

View full text Add to dashboard Cite

show abstract

“…More recently, a novel enhanced matrix removal (EMR)‐lipid dSPE sorbent was introduced into Agilent Bond Elut QuEChERS protocol to remove matrices in fatty samples. The EMR‐lipid dSPE sorbents and polish salts for the trace‐level analytes have been used to detect veterinary drugs, polycyclic aromatic hydrocarbons, and pesticides in complex food samples using this method (Lucas & Zhao, ; Zhao & Lucas, , ; Parrilla Vázquez et al, ).…”

Section: Introductionmentioning

confidence: 99%

Determination of Heterocyclic Amines in Meat Matrices Using Enhanced Matrix Removal‐Lipid Extraction and Liquid Chromatography–Tandem Mass Spectrometry

Linghu

Karim

Taghvaei

et al. 2019

Journal of Food Science

View full text Add to dashboard Cite

A simple, fast, and efficient method, “enhanced matrix removal of lipids” (EMR‐lipid), was proposed, optimized, and validated for identifying five polar heterocyclic amines (HCAs) in meat samples that ranged from high‐protein (beef and chicken) to high‐fat (pork bacon) matrices. The protocol involves an initial solid–liquid phase extraction followed by a rapid dispersive solid‐phase extraction using EMR‐lipid sorbents and salting‐out partitioning. Acetonitrile containing formic acid at two levels (1% and 2%) efficiently extracted HCAs from different meat matrices. Liquid chromatography–tandem mass spectrometry (MS/MS) with selective reaction monitoring mode was developed for qualitative and quantitative analysis. The highest MS/MS responses and better peak separation of analytes were achieved by adjusting mobile phases to pH 3.0 with instrumental detection limits between 0.01 and 0.05 ng/mL. Good linearity of standard curves was obtained in both pure solvents and postspiked meat extracts between 0.5 and 50.0 ng/mL. The validation results showed good precision, accuracy, and sensitivity for detecting HCAs in spiked meat samples. Satisfactory recoveries of four HCAs were achieved: 65% to 111% in beef, 71% to 106% in bacon, and 42% to 77% in chicken. Matrix effects were also assessed and showed less than –20% of ion suppression in bacon extract, while a medium to high signal suppression was observed in beef (–37% to –55%) and chicken (–28% to –52%). This optimized EMR‐lipid method provides acceptable results and advantages for determining trace level HCAs in complex meat matrices.

show abstract

Advances in sample preparation methods for pesticide residue analysis in medicinal plants: A focus on Nepal

Pandey,

Pant,

Dall'Acqua

2024

Archiv der Pharmazie

View full text Add to dashboard Cite

Medicinal plant safety is a rising challenge worldwide due to the continued overuse of pesticides to their maximum residue limits. Due to the high demand for medicinal plants, their production is being increased and sometimes protected by pesticide use. The analysis of these residues requires robust analytical methods to ensure the safety and quality of medicinal plants. Developing effective sample preparation for detecting pesticides is challenging, due to their diverse natures, classes, and physico‐chemical characteristics. Hence, existing techniques and strategies are needed to improve the reliability of the results. The review discusses the current state of sample preparation techniques, analytical methods, and instrumental technologies employed in pesticide residue analysis in medicinal plants. It highlights the challenges, limitations, and advancements in the field, providing insights into the analytical strategies used to detect and quantify pesticide residues. Reliable, accessible, affordable, and high‐resolution analytical procedures are essential to ensure that pesticide levels in medicinal plants are effectively regulated. By understanding the complexities of pesticide residue analysis in medicinal plants, this review article aims to support the conservation of medicinal plant resources, promote public health, and contribute to the development of sustainable strategies for ensuring the safety and quality of medicinal plants in Nepal. The findings of this review will benefit researchers, policymakers, and stakeholders involved in the conservation of medicinal plant resources and the promotion of public health.

show abstract

Large multiresidue analysis of pesticides in edible vegetable oils by using efficient solid-phase extraction sorbents based on quick, easy, cheap, effective, rugged and safe methodology followed by gas chromatography–tandem mass spectrometry

Cited by 78 publications

References 23 publications

Method Development for Sulfonylurea Herbicides Analysis in Rapeseed Oil Samples by HPLC–DAD: Comparison of Zirconium-Based Sorbents and EMR-Lipid for Clean-up of QuEChERS Extract

Method Development for Sulfonylurea Herbicides Analysis in Rapeseed Oil Samples by HPLC–DAD: Comparison of Zirconium-Based Sorbents and EMR-Lipid for Clean-up of QuEChERS Extract

Determination of Heterocyclic Amines in Meat Matrices Using Enhanced Matrix Removal‐Lipid Extraction and Liquid Chromatography–Tandem Mass Spectrometry

Advances in sample preparation methods for pesticide residue analysis in medicinal plants: A focus on Nepal

Contact Info

Product

Resources

About