Publication

Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment

Van De Merbel, N. C., Koster, R. A. & Ohnmacht, C., 27-Nov-2019, In : Bioanalysis. 11, 18, p. 1693-1700 8 p.

Research output: Contribution to journalReview articleAcademicpeer-review

APA

Van De Merbel, N. C., Koster, R. A., & Ohnmacht, C. (2019). Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment. Bioanalysis, 11(18), 1693-1700. https://doi.org/10.4155/bio-2019-0122

Author

Van De Merbel, Nico C ; Koster, Remco A ; Ohnmacht, Corey. / Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment. In: Bioanalysis. 2019 ; Vol. 11, No. 18. pp. 1693-1700.

Harvard

Van De Merbel, NC, Koster, RA & Ohnmacht, C 2019, 'Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment', Bioanalysis, vol. 11, no. 18, pp. 1693-1700. https://doi.org/10.4155/bio-2019-0122

Standard

Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment. / Van De Merbel, Nico C; Koster, Remco A; Ohnmacht, Corey.

In: Bioanalysis, Vol. 11, No. 18, 27.11.2019, p. 1693-1700.

Research output: Contribution to journalReview articleAcademicpeer-review

Vancouver

Van De Merbel NC, Koster RA, Ohnmacht C. Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment. Bioanalysis. 2019 Nov 27;11(18):1693-1700. https://doi.org/10.4155/bio-2019-0122


BibTeX

@article{bd8dae543589410ca7b57fe4a3fa5bb5,
title = "Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment",
abstract = "Internal standards (ISs) are essential for the development and use of reliable quantitative bioanalytical LC-MS/MS methods, because they correct for fluctuations in the analytical response that are caused by variations in experimental conditions. Sample-to-sample differences in the IS response are thus to be expected, but a large variability often is an indication of nonoptimal sample handling or analysis settings. This paper discusses a number of cases of very complex variation of IS responses that could be attributed to analytical problems such as injection errors and sample inhomogeneity, and matrix-related issues such as degradation and increased ionization efficiency. A decision tree is proposed to help find the underlying root cause for extreme IS variability.",
keywords = "internal standard, LC-MS, matrix effects, response variability, root cause analysis, decision tree, ionization, liquid chromatography-mass spectrometry, matrix effect, review, standard, SPECTROMETRY",
author = "{Van De Merbel}, {Nico C} and Koster, {Remco A} and Corey Ohnmacht",
year = "2019",
month = nov,
day = "27",
doi = "10.4155/bio-2019-0122",
language = "English",
volume = "11",
pages = "1693--1700",
journal = "Bioanalysis",
issn = "1757-6180",
publisher = "FUTURE SCI LTD",
number = "18",

}

RIS

TY - JOUR

T1 - Very complex internal standard response variation in LC-MS/MS bioanalysis: Root cause analysis and impact assessment

AU - Van De Merbel, Nico C

AU - Koster, Remco A

AU - Ohnmacht, Corey

PY - 2019/11/27

Y1 - 2019/11/27

N2 - Internal standards (ISs) are essential for the development and use of reliable quantitative bioanalytical LC-MS/MS methods, because they correct for fluctuations in the analytical response that are caused by variations in experimental conditions. Sample-to-sample differences in the IS response are thus to be expected, but a large variability often is an indication of nonoptimal sample handling or analysis settings. This paper discusses a number of cases of very complex variation of IS responses that could be attributed to analytical problems such as injection errors and sample inhomogeneity, and matrix-related issues such as degradation and increased ionization efficiency. A decision tree is proposed to help find the underlying root cause for extreme IS variability.

AB - Internal standards (ISs) are essential for the development and use of reliable quantitative bioanalytical LC-MS/MS methods, because they correct for fluctuations in the analytical response that are caused by variations in experimental conditions. Sample-to-sample differences in the IS response are thus to be expected, but a large variability often is an indication of nonoptimal sample handling or analysis settings. This paper discusses a number of cases of very complex variation of IS responses that could be attributed to analytical problems such as injection errors and sample inhomogeneity, and matrix-related issues such as degradation and increased ionization efficiency. A decision tree is proposed to help find the underlying root cause for extreme IS variability.

KW - internal standard

KW - LC-MS

KW - matrix effects

KW - response variability

KW - root cause analysis

KW - decision tree

KW - ionization

KW - liquid chromatography-mass spectrometry

KW - matrix effect

KW - review

KW - standard

KW - SPECTROMETRY

U2 - 10.4155/bio-2019-0122

DO - 10.4155/bio-2019-0122

M3 - Review article

VL - 11

SP - 1693

EP - 1700

JO - Bioanalysis

JF - Bioanalysis

SN - 1757-6180

IS - 18

ER -

ID: 103506655