Liquid- and Gas Chromatography With Tandem Mass Spectrometric Technique to Optimize and Validate the Analysis of Pesticides in Honey: A Large Scope, Multi-Class, Multi-Residue Method.
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| Title: | Liquid- and Gas Chromatography With Tandem Mass Spectrometric Technique to Optimize and Validate the Analysis of Pesticides in Honey: A Large Scope, Multi-Class, Multi-Residue Method. |
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| Authors: | Choudhury, Partha P1 (AUTHOR), Ekatpure, Sachin C2 (AUTHOR), Mandal, Abhishek1 (AUTHOR), Udupi, Veena Rao1 (AUTHOR), Krishnamurthy, Kusuma D1 (AUTHOR), Bheemiah, Nethravati1 (AUTHOR), Shenvi, Seema1 (AUTHOR), Banerjee, Kaushik2 (AUTHOR) |
| Source: | Journal of AOAC International. May/Jun2026, Vol. 109 Issue 3, p312-325. 14p. |
| Subjects: | Pesticide residues in food, Matrix effect, Tandem mass spectrometry, Gas chromatography, Scientific method, Conformance testing, Liquid chromatography, Food chemistry |
| Abstract: | Background Honey is a nutrient-rich food item with a complex matrix due to its diverse nutritional components. This complexity poses challenges in the analysis of pesticide residues, affecting accuracy and precision of results. A comprehensive and reliable method is required for the detection and quantification of these contaminants. Objective To develop and validate a method for simultaneous analysis of pesticide residues in various honey types using liquid chromatography–tandem mass spectrometry (LC-MS/MS) and gas chromatography–tandem mass spectrometry (GC-MS/MS). Methods Honey samples (5 g) were extracted using acetonitrile (10 mL) and water (10 mL) for LC-MS/MS analysis, while ethyl acetate (10 mL) was used for GC-MS/MS analysis. The extract was cleaned using primary secondary amine (PSA) before pesticide residue quantification by LC-MS/MS and GC-MS/MS. The method performance was evaluated based on recoveries (70–120%) and repeatability (RSD <20%) at a limit of quantification of 0.01 mg/kg, in accordance with SANTE/11312/2021 guidelines. Results The developed method demonstrated compliance with regulatory requirements, ensuring reliable determination of pesticide residues in honey samples. A study on matrix variability from 14 different honey samples revealed that each honey type exhibited a unique matrix effect (ME) for the targeted pesticides. To minimize this effect, the use of honey type-specific matrix-matched standards is recommended. Conclusion The study successfully developed a simple, robust, and high-throughput analytical method for the quantitative determination of pesticide residues in honey. Given its high selectivity, sensitivity, and rugged performance, the method can be implemented in regulatory testing for the analysis of targeted compounds across a wide range of honey matrixes. Highlights A method for pesticide residue analysis in honey was developed using LC-MS/MS and GC-MS/MS. The method showed acceptable recoveries (within 70–120%) and repeatability (RSD <20%) at an LOQ of 0.01 mg/kg. Each honey type exhibited a unique matrix effect (ME), emphasizing the need for matrix-matched standards for residue quantifications. The method demonstrated high throughput, selectivity, and sensitivity, making it suitable for regulatory testing. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of AOAC International is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193662939 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Liquid- and Gas Chromatography With Tandem Mass Spectrometric Technique to Optimize and Validate the Analysis of Pesticides in Honey: A Large Scope, Multi-Class, Multi-Residue Method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Choudhury%2C+Partha+P%22">Choudhury, Partha P</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ekatpure%2C+Sachin+C%22">Ekatpure, Sachin C</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mandal%2C+Abhishek%22">Mandal, Abhishek</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Udupi%2C+Veena+Rao%22">Udupi, Veena Rao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krishnamurthy%2C+Kusuma+D%22">Krishnamurthy, Kusuma D</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bheemiah%2C+Nethravati%22">Bheemiah, Nethravati</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shenvi%2C+Seema%22">Shenvi, Seema</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Banerjee%2C+Kaushik%22">Banerjee, Kaushik</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+AOAC+International%22">Journal of AOAC International</searchLink>. May/Jun2026, Vol. 109 Issue 3, p312-325. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pesticide+residues+in+food%22">Pesticide residues in food</searchLink><br /><searchLink fieldCode="DE" term="%22Matrix+effect%22">Matrix effect</searchLink><br /><searchLink fieldCode="DE" term="%22Tandem+mass+spectrometry%22">Tandem mass spectrometry</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+chromatography%22">Gas chromatography</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+method%22">Scientific method</searchLink><br /><searchLink fieldCode="DE" term="%22Conformance+testing%22">Conformance testing</searchLink><br /><searchLink fieldCode="DE" term="%22Liquid+chromatography%22">Liquid chromatography</searchLink><br /><searchLink fieldCode="DE" term="%22Food+chemistry%22">Food chemistry</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background Honey is a nutrient-rich food item with a complex matrix due to its diverse nutritional components. This complexity poses challenges in the analysis of pesticide residues, affecting accuracy and precision of results. A comprehensive and reliable method is required for the detection and quantification of these contaminants. Objective To develop and validate a method for simultaneous analysis of pesticide residues in various honey types using liquid chromatography–tandem mass spectrometry (LC-MS/MS) and gas chromatography–tandem mass spectrometry (GC-MS/MS). Methods Honey samples (5 g) were extracted using acetonitrile (10 mL) and water (10 mL) for LC-MS/MS analysis, while ethyl acetate (10 mL) was used for GC-MS/MS analysis. The extract was cleaned using primary secondary amine (PSA) before pesticide residue quantification by LC-MS/MS and GC-MS/MS. The method performance was evaluated based on recoveries (70–120%) and repeatability (RSD <20%) at a limit of quantification of 0.01 mg/kg, in accordance with SANTE/11312/2021 guidelines. Results The developed method demonstrated compliance with regulatory requirements, ensuring reliable determination of pesticide residues in honey samples. A study on matrix variability from 14 different honey samples revealed that each honey type exhibited a unique matrix effect (ME) for the targeted pesticides. To minimize this effect, the use of honey type-specific matrix-matched standards is recommended. Conclusion The study successfully developed a simple, robust, and high-throughput analytical method for the quantitative determination of pesticide residues in honey. Given its high selectivity, sensitivity, and rugged performance, the method can be implemented in regulatory testing for the analysis of targeted compounds across a wide range of honey matrixes. Highlights A method for pesticide residue analysis in honey was developed using LC-MS/MS and GC-MS/MS. The method showed acceptable recoveries (within 70–120%) and repeatability (RSD <20%) at an LOQ of 0.01 mg/kg. Each honey type exhibited a unique matrix effect (ME), emphasizing the need for matrix-matched standards for residue quantifications. The method demonstrated high throughput, selectivity, and sensitivity, making it suitable for regulatory testing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of AOAC International is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/jaoacint/qsaf040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 312 Subjects: – SubjectFull: Pesticide residues in food Type: general – SubjectFull: Matrix effect Type: general – SubjectFull: Tandem mass spectrometry Type: general – SubjectFull: Gas chromatography Type: general – SubjectFull: Scientific method Type: general – SubjectFull: Conformance testing Type: general – SubjectFull: Liquid chromatography Type: general – SubjectFull: Food chemistry Type: general Titles: – TitleFull: Liquid- and Gas Chromatography With Tandem Mass Spectrometric Technique to Optimize and Validate the Analysis of Pesticides in Honey: A Large Scope, Multi-Class, Multi-Residue Method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choudhury, Partha P – PersonEntity: Name: NameFull: Ekatpure, Sachin C – PersonEntity: Name: NameFull: Mandal, Abhishek – PersonEntity: Name: NameFull: Udupi, Veena Rao – PersonEntity: Name: NameFull: Krishnamurthy, Kusuma D – PersonEntity: Name: NameFull: Bheemiah, Nethravati – PersonEntity: Name: NameFull: Shenvi, Seema – PersonEntity: Name: NameFull: Banerjee, Kaushik IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10603271 Numbering: – Type: volume Value: 109 – Type: issue Value: 3 Titles: – TitleFull: Journal of AOAC International Type: main |
| ResultId | 1 |