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Li W, Fu Y, Picard F. Inclusion of dilution quality control samples in quantitative LC-MS bioanalysis. Bioanalysis 2024; 16:923-925. [PMID: 39324496 PMCID: PMC11486123 DOI: 10.1080/17576180.2024.2352253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Accepted: 04/30/2024] [Indexed: 09/27/2024] Open
Abstract
In LC-MS bioanalysis, sample dilution plays various roles, including bringing analyte concentrations within the validated/qualified dynamic range or alleviating matrix effect for accurate determination of the target analyte(s) in the intended study samples. Adherence to health authority requirements, incorporating good dilution practices, and timely demonstration of dilution integrity whenever samples are diluted in an analytical run are essential to ensure the reliability of bioanalytical results.
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Affiliation(s)
- Wenkui Li
- Pharmacokinetic Sciences, Novartis Biomedical Research, East Hanover, NJ07936, USA
| | - Yunlin Fu
- Pharmacokinetic Sciences, Novartis Biomedical Research, East Hanover, NJ07936, USA
| | - Franck Picard
- Pharmacokinetic Sciences, Novartis Biomedical Research, CH-4056Basel, Switzerland
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Zhang J, Dasgupta A, Ayala R, Bonapace C, Kassim S, Faustino PJ. Internal standard variability: root cause investigation, parallelism for evaluating trackability and practical considerations. Bioanalysis 2024; 16:771-776. [PMID: 38717365 DOI: 10.1080/17576180.2024.2348939] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 04/25/2024] [Indexed: 09/20/2024] Open
Affiliation(s)
- Jinhui Zhang
- Division of Product Quality Research, Office of Testing & Research, Office of Pharmaceutical Quality, Food & Drug Administration, Center for Drug Evaluation & Research, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
| | - Arindam Dasgupta
- Division of New Drug Study Integrity, Office of Study Integrity & Surveillance, Office of Translational Sciences, Food & Drug Administration, Center for Drug Evaluation & Research, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
| | - Ruben Ayala
- Division of New Drug Study Integrity, Office of Study Integrity & Surveillance, Office of Translational Sciences, Food & Drug Administration, Center for Drug Evaluation & Research, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
| | - Charles Bonapace
- Division of New Drug Study Integrity, Office of Study Integrity & Surveillance, Office of Translational Sciences, Food & Drug Administration, Center for Drug Evaluation & Research, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
| | - Sean Kassim
- Office of Study Integrity & Surveillance, Office of Translational Sciences, Food & Drug Administration, Center for Drug Evaluation & Research, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
| | - Patrick J Faustino
- Division of Product Quality Research, Office of Testing & Research, Office of Pharmaceutical Quality, Food & Drug Administration, Center for Drug Evaluation & Research, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA
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Evaluation, identification and impact assessment of abnormal internal standard response variability in regulated LC-MS bioanalysis. Bioanalysis 2020; 12:545-559. [PMID: 32352315 DOI: 10.4155/bio-2020-0058] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Internal standard (IS) plays an important role in LC-MS bioanalysis by compensating for the variability of the analyte of interest in bioanalytical workflow. Due to the complexity of biological sample compositions and bioanalytical processes, a certain level of IS response variability across a run or a study is anticipated. However, an extensive variability may raise doubts to the accuracy of the measured results and also suggest nonoptimal analytical method. In this current paper, recent publications and guidelines regarding IS response in LC-MS bioanalysis were thoroughly reviewed with focus on the evaluation, identification and impact assessment of 'abnormal' IS response variability. A systematic decision tree was proposed to facilitate investigation into abnormal IS response variability after each run.
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Crucial importance of evaluating internal standards (IS) response and troubleshooting in effective LCMS method development, validation and sample analysis. Bioanalysis 2019; 11:1645-1647. [PMID: 31637924 DOI: 10.4155/bio-2019-0245] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
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