Literature DB >> 28737421

Matrix effect management in liquid chromatography mass spectrometry: the internal standard normalized matrix effect.

Amedeo De Nicolò1, Marco Cantù2, Antonio D'Avolio1.   

Abstract

LC-MS is becoming a standard for many applications, thanks to high sensitivity and selectivity; nevertheless, some issues are still present, particularly due to matrix effect (ME). Considering this, the use of optimal internal standards (ISs, usually stable-isotope labeled) is important, but not always possible because of cost or availability. Therefore, a deep investigation of the inter-lot variability of the ME and of the correcting power of the chosen IS (isotope-labeled or not) is mandatory. While the adoption of isotopically labeled ISs considered as a 'gold standard' to mitigate ME impact on analytical results, there is not consensus about the standard technique to evaluate it during method validation. In this paper, currently available techniques to evaluate, reduce or counterbalance ME are presented and discussed. Finally, these techniques were summarized in a flowchart for a robust management of ME, particularly considering the concept of 'internal standard normalized ME'.

Entities:  

Keywords:  LC–MS; internal standard; matrix effects

Mesh:

Year:  2017        PMID: 28737421     DOI: 10.4155/bio-2017-0059

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  12 in total

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Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

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3.  Development and validation of a UHPLC-MS/MS method for quantification of the prodrug remdesivir and its metabolite GS-441524: a tool for clinical pharmacokinetics of SARS-CoV-2/COVID-19 and Ebola virus disease.

Authors:  Valeria Avataneo; Amedeo de Nicolò; Jessica Cusato; Miriam Antonucci; Alessandra Manca; Alice Palermiti; Catriona Waitt; Stephen Walimbwa; Mohammed Lamorde; Giovanni di Perri; Antonio D'Avolio
Journal:  J Antimicrob Chemother       Date:  2020-07-01       Impact factor: 5.790

4.  Validation of a UHPLC-MS/MS Method to Quantify Twelve Antiretroviral Drugs within Peripheral Blood Mononuclear Cells from People Living with HIV.

Authors:  Amedeo De Nicolò; Alice Ianniello; Micol Ferrara; Valeria Avataneo; Jessica Cusato; Miriam Antonucci; Elisa De Vivo; Catriona Waitt; Andrea Calcagno; Alice Trentalange; Giampiero Muccioli; Stefano Bonora; Giovanni Di Perri; Antonio D'Avolio
Journal:  Pharmaceuticals (Basel)       Date:  2020-12-25

5.  QuEChERS LC-MS/MS Screening Method for Mycotoxin Detection in Cereal Products and Spices.

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Journal:  Clin Chem       Date:  2021-06-01       Impact factor: 8.327

7.  Development and Validation of an Up-to-Date Highly Sensitive UHPLC-MS/MS Method for the Simultaneous Quantification of Current Anti-HIV Nucleoside Analogues in Human Plasma.

Authors:  Amedeo De Nicolò; Alessandra Manca; Alice Ianniello; Alice Palermiti; Andrea Calcagno; Micol Ferrara; Miriam Antonucci; Jessica Cusato; Valeria Avataneo; Elisa De Vivo; Stefano Bonora; Francesco Giuseppe De Rosa; Giovanni Di Perri; Antonio D'Avolio
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-13

8.  LC-MS/MS Method for Simultaneous Determination of Linarin and Its Metabolites in Rat Plasma and Liver Tissue Samples: Application to Pharmacokinetic and Liver Tissue Distribution Study After Oral Administration of Linarin.

Authors:  Yang Li; Chenxi Guang; Na Zhao; Xinchi Feng; Feng Qiu
Journal:  Molecules       Date:  2019-09-13       Impact factor: 4.411

9.  Rapid Targeted Method of Detecting Abused Piperazine Designer Drugs.

Authors:  Anna Welz; Marcin Koba; Piotr Kośliński; Joanna Siódmiak
Journal:  J Clin Med       Date:  2021-12-12       Impact factor: 4.241

10.  A Non-Invasive Method for Detection of Antihypertensive Drugs in Biological Fluids: The Salivary Therapeutic Drug Monitoring.

Authors:  Valeria Avataneo; Elvira Fanelli; Amedeo De Nicolò; Franco Rabbia; Alice Palermiti; Marco Pappaccogli; Jessica Cusato; Francesco Giuseppe De Rosa; Antonio D'Avolio; Franco Veglio
Journal:  Front Pharmacol       Date:  2022-01-05       Impact factor: 5.810

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