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Consequences of Insufficient Selectivity in Quantitative and Qualitative Chemical Analysis
Department of Physics, Alba Nova University Center, Stockholm University, Stockholm, Sweden
Department of Physics, Alba Nova University Center, Stockholm University, Stockholm, Sweden
- 1 Department of Physics, Alba Nova University Center, Stockholm University, Stockholm, Sweden
- 2 Department of Physics, Alba Nova University Center, Stockholm University, Stockholm, Sweden
Journal of Analytical Sciences, Methods and Instrumentation·Volume 13 (2023)·Pages 13–25·Published 13 July 2023·DOI10.4236/jasmi.2023.132002
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Abstract
A problem in chemical analysis in connection with measurements of a substance normally occurring in a sample, or identification of a substance which should not exist in a sample, is insufficient selectivity. In this article , we analyze this problem and propose remedies. We use a real doping case to illu strate how chemical noise causes a serious selectivity problem, probably causing a false positive outcome.
KeywordsChemical AnalysisQuantitative and Qualitative SelectivityChemical Measurement ProceduresMeasurement ErrorsChemical Noise
- van der Veen, A.M.H. (2003) Measurement Uncertainty and Doping Control in Sport. Accreditation and Quality Assurance, 8, 334-339. https://doi.org/10.1007/s00769-003-0644-6
- de Zeeuw, R.A. (2004) Substance Identification: The Weak Link in Analytical Toxicology. Journal of Chromatography B, 811, 3-12. https://doi.org/10.1016/j.jchromb.2004.07.043
- Joint Committee for Guides in Metrology, JCGM 200 (2012) VIM: International Vocabulary of Metrology. 3rd Edition.
- ISO 11843-1 (1997) Capability of Detection—Part 1: Terms and Definitions. ICS.
- Nilsson, G. (1991) Comparison of Measurement Methods Based on a Model for the Error Structure. Journal of Chemometrics, 5, 523-536. https://doi.org/10.1002/cem.1180050605
- Nilsson, G., et al. (2018) IFCC Working Group Recommendations for Assessing Commutability Part 2: Using the Difference in Bias between a Reference Material and Clinical Samples. Clinical Chemistry, 64, 455-464. https://doi.org/10.1373/clinchem.2017.277541
- Miller, W.G., Thienpont, L.M., Van Uytfanghe, K., Clark, P.M., Lindstedt, P., Nilsson, G. and Steffes, M.W. (2009) Toward Standardization of Insulin Immunoassays. Clinical Chemistry, 55, 1011-1018. https://doi.org/10.1373/clinchem.2008.118380
- Honour, J.W. (1996) Testing for Drug Abuse. The Lancet, 348, 41-43. https://doi.org/10.1016/S0140-6736(96)05336-6
- Tsivou, M., Livadara, D., Georgakopoulos, D.G., Koupparis, M.A., Atta-Politou, J. and Georgakopoulos, C.G. (2009) Stabilization of Human Urine Doping Control Samples: II Microbial Degradation of Steroids. Analytical Biochemistry, 388, 146-154. https://doi.org/10.1016/j.ab.2009.02.013
- Hassell, K.M., LeBlanc, S.A. and McLuckey, S.A. (2011) Chemical Noise Reduction via Mass Spectrometry and Ion/Ion Charge Inversion: Amino Acids. Analytical Chemistry, 83, 2352-2355. https://doi.org/10.1021/ac200439k
- https://www.wada-ama.org/sites/default/files/resources/files/td2021idcr_final_eng_0.pdf
- Maurer, H.H. (2020) Pitfalls in Drug Testing by Hyphenated Low-and High-Resolution Mass Spectrometry. Drug Testing and Analysis, 12, 172-179. https://doi.org/10.1002/dta.2744
- ISO 5725 (1994-1998): Accuracy (Trueness and Precision) of Measurement Methods and Results (6 Parts). There Are New Versions of Part 2 (2019) and Part 4 (2020).