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Can I read Multiresidue analysis of pesticides in four different pomegranate cultivars: Investigating matrix effect variability by GC-MS/MS and LC-MS/MS on EtoBox?
Multiresidue analysis of pesticides in four different pomegranate cultivars: Investigating matrix effect variability by GC-MS/MS and LC-MS/MS by Rahul D. Damale; Anirban Dutta; Nasiruddin Shaikh; Anita Pardeshi; Raviraj Shinde; K. Dhinesh Babu; Nilesh N. Gaikwad; Kaushik Banerjee is a Agricultural and Biological Sciences article available to read on EtoBox.
What is Multiresidue analysis of pesticides in four different pomegranate cultivars: Investigating matrix effect variability by GC-MS/MS and LC-MS/MS about?
Matrix effect (ME) is unavoidable in multiresidue pesticide analysis, even when using highly advanced instruments, and differences in MEs can affect residue analytical accuracy due to pomegranate cultivar composition variations. However, literature to support this claim is limited.The study used GC-MS/MS and LC-MS/MS to investigate four different Indian pomegranate cultivar extracts and their MEs on multi-class pesticides.The whole fruit and arils of all cultivarswere tested for 22 GC-amenable and 21 LC-amenable pesticides. Principal component analysis of the data confirmed that each cultivar had unique MEs for each pesticide.The majority of pesticides showed acute variations in recovery rates with 95% confidence, while GC-MS/MS-amenablepesticides showed more variation. Although extrapolative dilution reduced the influence of MEs on analytical accuracy, a generalized matrix-matching for all cultivars was not possible to achieve.To reduce the variability in MEs, it is recommended that a cultivar-specific matrix-matched standard should be used.
Who reads Multiresidue analysis of pesticides in four different pomegranate cultivars: Investigating matrix effect variability by GC-MS/MS and LC-MS/MS?
It is typically read by researchers, students, and practitioners in Agricultural and Biological Sciences.
- Author
- Rahul D. Damale; Anirban Dutta; Nasiruddin Shaikh; Anita Pardeshi; Raviraj Shinde; K. Dhinesh Babu; Nilesh N. Gaikwad; Kaushik Banerjee
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Agricultural and Biological Sciences (Life Sciences)