Literature DB >> 30228391

Identification and characterization of matrix components in spinach during QuEChERS sample preparation for pesticide residue analysis by LC-ESI-MS/MS, GC-MS and UPLC-DAD.

Abul Kasem Mohammad Mydul Islam1, Su-Myeong Hong1, Hyo-Sub Lee1, Byeong-Chul Moon1, Danbi Kim1, Hyeyoung Kwon1.   

Abstract

In this article matrix components in spinach were investigated in detail. The samples were prepared using two QuEChERS (quick, easy, cheap, effective, rugged and safe) methods, AOAC and CEN. Liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS), gas chromatography-mass spectrometry (GC-MS) and ultra performance liquid chromatography-diode array detector (UPLC-DAD), were applied for component identification. The strategies of identification by LC-ESI-MS/MS include accurate mass spectra of the parent ion, comparison with previous literature data and investigation of the mass spectral decomposition pattern. Overall, fourteen components were identified by LC-ESI-MS/MS in each methods of AOAC and CEN, which were phytosteroids, flavonoids, fatty acids and fatty acid amides. Fifty components using AOAC method and fifty-seven components using CEN method were identified in GC-MS by comparing mass data with the National Institute of Standards and Technology (NIST, U.S.) database. The results indicate that the major components of the matrix are terpenoids, fatty acids and fatty acid esters. Moreover, three pigments (neoxanthin, violaxanthin and lutein) in the AOAC method and eight pigments (neoxanthin, violaxanthin, zeaxanthin, lutein, chlorophyll a, chlorophyll b, pheophytin a and beta-carotene) in the CEN method that gave a characteristics peak at 440 nm were identified by the UPLC-DAD. According to the sample preparation condition using different amounts of graphitized carbon black (GCB) in this study, the AOAC method had higher matrix component removal efficiency than the CEN method. A better understanding of matrix components would increase the current knowledge for improvement of existing QuEChERS methodology, as well as contribute to new method developments.

Entities:  

Keywords:  Flavonoids; GC–MS; LC–ESI–MS/MS; Matrix components; Pigments; UPLC-DAD

Year:  2018        PMID: 30228391      PMCID: PMC6133855          DOI: 10.1007/s13197-018-3318-4

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  23 in total

Review 1.  Recent Trends in Sample Preparation and Liquid Chromatography/Mass Spectrometry for Pesticide Residue Analysis in Food and Related Matrixes.

Authors:  Tomasz Rejczak; Tomasz Tuzimski
Journal:  J AOAC Int       Date:  2015 Sep-Oct       Impact factor: 1.913

2.  Matrix effects in pesticide multi-residue analysis by liquid chromatography-mass spectrometry.

Authors:  Anneli Kruve; Allan Künnapas; Koit Herodes; Ivo Leito
Journal:  J Chromatogr A       Date:  2008-02-06       Impact factor: 4.759

3.  Compensation for matrix effects in gas chromatography-tandem mass spectrometry using a single point standard addition.

Authors:  Antonia Garrido Frenich; José Luis Martínez Vidal; José Luis Fernández Moreno; R Romero-González
Journal:  J Chromatogr A       Date:  2009-04-15       Impact factor: 4.759

4.  Identification and determination of 34 water-soluble synthetic dyes in foodstuff by high performance liquid chromatography-diode array detection-ion trap time-of-flight tandem mass spectrometry.

Authors:  Xiu Qin Li; Qing He Zhang; Kang Ma; Hong Mei Li; Zhen Guo
Journal:  Food Chem       Date:  2015-03-13       Impact factor: 7.514

5.  Comparison of QuEChERS sample preparation methods for the analysis of pesticide residues in fruits and vegetables.

Authors:  Steven J Lehotay; Kyung Ae Son; Hyeyoung Kwon; Urairat Koesukwiwat; Wusheng Fu; Katerina Mastovska; Eunha Hoh; Natchanun Leepipatpiboon
Journal:  J Chromatogr A       Date:  2010-01-22       Impact factor: 4.759

6.  Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism.

Authors:  Wei Chen; Yanqiang Gao; Weibo Xie; Liang Gong; Kai Lu; Wensheng Wang; Yang Li; Xianqing Liu; Hongyan Zhang; Huaxia Dong; Wan Zhang; Lejing Zhang; Sibin Yu; Gongwei Wang; Xingming Lian; Jie Luo
Journal:  Nat Genet       Date:  2014-06-08       Impact factor: 38.330

7.  Antiproliferative and antioxidant activities of a tricin acylated glycoside from sugarcane (Saccharum officinarum) juice.

Authors:  Joaquim Mauricio Duarte-Almeida; Giuseppina Negri; Antonio Salatino; João Ernesto de Carvalho; Franco Maria Lajolo
Journal:  Phytochemistry       Date:  2007-03-12       Impact factor: 4.072

8.  Matrix behavior during sample preparation using metabolomics analysis approach for pesticide residue analysis by GC-MS in agricultural products.

Authors:  Kuniyo Sugitate; Machiko Saka; Takeshi Serino; Sadao Nakamura; Akira Toriba; Kazuichi Hayakawa
Journal:  J Agric Food Chem       Date:  2012-10-01       Impact factor: 5.279

9.  Chemical characterization of a family of brain lipids that induce sleep.

Authors:  B F Cravatt; O Prospero-Garcia; G Siuzdak; N B Gilula; S J Henriksen; D L Boger; R A Lerner
Journal:  Science       Date:  1995-06-09       Impact factor: 47.728

10.  Analysis of Chemical Constituents of Melastoma dodecandrum Lour. by UPLC-ESI-Q-Exactive Focus-MS/MS.

Authors:  Jinfeng Wang; Ziyao Jia; Zhihao Zhang; Yutong Wang; Xi Liu; Linghua Wang; Ruichao Lin
Journal:  Molecules       Date:  2017-03-17       Impact factor: 4.411

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  2 in total

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Authors:  Qiuhong Yang; Xiaohui Ai; Siqi Li; Huan Liu; Yongtao Liu
Journal:  Environ Monit Assess       Date:  2019-09-06       Impact factor: 2.513

2.  Cassia fistula Leaves; UHPLC-QTOF-MS/MS Based Metabolite Profiling and Molecular Docking Insights to Explore Bioactives Role Towards Inhibition of Pancreatic Lipase.

Authors:  Zain Ul Aabideen; Muhammad Waseem Mumtaz; Muhammad Tayyab Akhtar; Muhammad Asam Raza; Hamid Mukhtar; Ahmad Irfan; Syed Ali Raza; Tooba Touqeer; Muhammad Nadeem; Nazamid Saari
Journal:  Plants (Basel)       Date:  2021-06-29
  2 in total

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