An approach to detection capabilities estimation of analytical procedures based on measurement uncertainty
Detection capabilities are important performance characteristics of analytical procedures. There are several conceptual approaches on the subject, but in most of them a level of ambiguity is presented. It is not clear which conditions of measurements should be used, and there is a relative lack of d...
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| Published in | Accreditation and quality assurance Vol. 15; no. 1; pp. 19 - 28 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer-Verlag
01.01.2010
Springer Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0949-1775 1432-0517 |
| DOI | 10.1007/s00769-009-0608-6 |
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| Abstract | Detection capabilities are important performance characteristics of analytical procedures. There are several conceptual approaches on the subject, but in most of them a level of ambiguity is presented. It is not clear which conditions of measurements should be used, and there is a relative lack of definition concerning blanks. Moreover, there are no systematic experimental studies concerning the influence of uncertainty associated with bias evaluation. A new approach based on measurement uncertainty is presented for estimating quantities that characterize capabilities of detection. It can be applied to different conditions of measurement and it is not necessary to perform an additional experiment with blanks. Starting from a modelling process of the combined uncertainty of concentration, it is possible to include in the estimated quantities the effects due to random errors and the uncertainty associated to evaluation of bias. The detection capabilities are then compared with the results obtained using some other relevant approaches. Slightly higher values were obtained with the measurement uncertainty approach due to inclusion of uncertainty associated with bias. |
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| AbstractList | Detection capabilities are important performance characteristics of analytical procedures. There are several conceptual approaches on the subject, but in most of them a level of ambiguity is presented. It is not clear which conditions of measurements should be used, and there is a relative lack of definition concerning blanks. Moreover, there are no systematic experimental studies concerning the influence of uncertainty associated with bias evaluation. A new approach based on measurement uncertainty is presented for estimating quantities that characterize capabilities of detection. It can be applied to different conditions of measurement and it is not necessary to perform an additional experiment with blanks. Starting from a modelling process of the combined uncertainty of concentration, it is possible to include in the estimated quantities the effects due to random errors and the uncertainty associated to evaluation of bias. The detection capabilities are then compared with the results obtained using some other relevant approaches. Slightly higher values were obtained with the measurement uncertainty approach due to inclusion of uncertainty associated with bias. |
| Author | Jiménez-Chacón, Juan Alvarez-Prieto, Manuel |
| Author_xml | – sequence: 1 givenname: Juan surname: Jiménez-Chacón fullname: Jiménez-Chacón, Juan organization: Institute of Science and Technology of Materials, University of Havana – sequence: 2 givenname: Manuel surname: Alvarez-Prieto fullname: Alvarez-Prieto, Manuel email: malvarez@imre.oc.uh.cu organization: Institute of Science and Technology of Materials, University of Havana |
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| Keywords | Validation Detection capabilities Critical concentration Detection limit Uncertainty modelling Uncertainty Bias Estimation Use Performance characteristic Random error Concentration Experimental study Detection |
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| PublicationSubtitle | Journal for Quality, Comparability and Reliability in Chemical Measurement |
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Geneva, Switzerland – reference: US Environmental Protection Agency (1980) 198,140 CFR part 136, Appendix B – reference: HuberWAccred Qual Assur200382132171:CAS:528:DC%2BD3sXjs1Kntr4%3D – reference: VogelgesangJHädrichJAccred Qual Assur1998324225510.1007/s0076900502341:CAS:528:DyaK1cXkslOlsb8%3D – reference: JülicherBGowikPUhligSAnalyst199812317317910.1039/a707281c – reference: LinnetKKondratovichMClin Chem20045073274010.1373/clinchem.2003.0299831:CAS:528:DC%2BD2cXivVCmtrw%3D – reference: YangXJLowGK-CFoleyRAnal Bioanal Chem20053811253126310.1007/s00216-004-3019-x1:CAS:528:DC%2BD2MXisFygtb4%3D – reference: Statistical Graphics Corp (2000) Statgraphics Plus for Windows, Ver. 5.1 – reference: KuselmanIShermanAAnal Chim Acta199530630130510.1016/0003-2670(94)00693-G1:CAS:528:DyaK2MXltVyntL4%3D – reference: BrownENClin Chem1996428939031:STN:280:DyaK283ltFWitQ%3D%3D – reference: Jiménez-ChacónJAlvarez-PrietoMAccred Qual Assur200914152710.1007/s00769-008-0440-4 – reference: ACS Committee on Environmental ImprovementAnal Chem1980522242224910.1021/ac50064a004 – reference: KuselmanIShermanFAccred Qual Assur1999412412810.1007/s0076900503311:CAS:528:DyaK1MXjs1yitrg%3D – reference: JCGM 100 (2008) Evaluation of measurement data—guide to the expression of uncertainty in measurement (GUM). 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Available at http://www.bipm.org/en/publications/guides/vim.html. Last accessed October 2009 – reference: Weisstein EW (2002) CRC concise encyclopedia of mathematics, 2nd edn. CRC Press, Boca Raton, FL – reference: HeydornKAnglovTAccred Qual Assur2002715315810.1007/s00769-002-0440-8 – reference: Analytical Methods CommitteeAnalyst198711219920410.1039/an9871200199 – volume: 4 start-page: 124 year: 1999 ident: 608_CR18 publication-title: Accred Qual Assur doi: 10.1007/s007690050331 – volume: 124 start-page: 981 year: 1999 ident: 608_CR28 publication-title: Analyst doi: 10.1039/a901845j – volume: 14 start-page: 15 year: 2009 ident: 608_CR20 publication-title: Accred Qual Assur doi: 10.1007/s00769-008-0440-4 – ident: 608_CR24 – volume: 42 start-page: 893 year: 1996 ident: 608_CR15 publication-title: Clin Chem doi: 10.1093/clinchem/42.6.893 – ident: 608_CR4 – volume: 7 start-page: 153 year: 2002 ident: 608_CR30 publication-title: Accred Qual Assur doi: 10.1007/s00769-002-0440-8 – volume: 8 start-page: 213 year: 2003 ident: 608_CR8 publication-title: Accred Qual Assur doi: 10.1007/s00769-003-0626-8 – volume: 39b start-page: 829 year: 1984 ident: 608_CR26 publication-title: Spectrochim Acta doi: 10.1016/0584-8547(84)80091-9 – ident: 608_CR31 – volume: 50 start-page: 732 year: 2004 ident: 608_CR17 publication-title: Clin Chem doi: 10.1373/clinchem.2003.029983 – volume: 52 start-page: 2242 year: 1980 ident: 608_CR1 publication-title: Anal Chem doi: 10.1021/ac50064a004 – volume: 33 start-page: 2291 year: 1999 ident: 608_CR14 publication-title: Environ Sci Technol doi: 10.1021/es981133b – volume: 3 start-page: 242 year: 1998 ident: 608_CR12 publication-title: Accred Qual Assur doi: 10.1007/s007690050234 – ident: 608_CR19 – ident: 608_CR27 – ident: 608_CR23 doi: 10.1201/9781420035223 – ident: 608_CR5 – volume: 123 start-page: 173 year: 1998 ident: 608_CR13 publication-title: Analyst doi: 10.1039/a707281c – volume: 112 start-page: 199 year: 1987 ident: 608_CR2 publication-title: Analyst doi: 10.1039/an9871200199 – volume: 391 start-page: 173 year: 1999 ident: 608_CR25 publication-title: Anal Chim Acta doi: 10.1016/S0003-2670(99)00111-7 – ident: 608_CR29 doi: 10.1007/s00769-009-0570-3 – volume-title: Handbook of chemometrics and qualimetrics, Part A year: 1997 ident: 608_CR22 – volume: 255 start-page: 1 year: 1971 ident: 608_CR21 publication-title: Fresenius Z Anal Chem doi: 10.1007/BF00423819 – volume: 381 start-page: 1253 year: 2005 ident: 608_CR9 publication-title: Anal Bioanal Chem doi: 10.1007/s00216-004-3019-x – volume: 69 start-page: 3069 year: 1997 ident: 608_CR11 publication-title: Anal Chem doi: 10.1021/ac970082i – ident: 608_CR32 – ident: 608_CR7 – volume: 67 start-page: 1699 year: 1995 ident: 608_CR3 publication-title: Pure Appl Chem doi: 10.1351/pac199567101699 – volume: 306 start-page: 301 year: 1995 ident: 608_CR6 publication-title: Anal Chim Acta doi: 10.1016/0003-2670(94)00693-G – volume: 42 start-page: 849 year: 1970 ident: 608_CR10 publication-title: Anal Chem doi: 10.1021/ac60290a013 – volume: 13 start-page: 29 year: 2008 ident: 608_CR16 publication-title: Accred Qual Assur doi: 10.1007/s00769-007-0339-5 |
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| SubjectTerms | Analytical Chemistry Bias Biochemistry Blanks Calibration Chemistry Chemistry and Materials Science Commercial Law Ecotoxicology Estimation Exact sciences and technology Food Science General Paper Marketing Probability distribution Random errors Uncertainty |
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| Title | An approach to detection capabilities estimation of analytical procedures based on measurement uncertainty |
| URI | https://link.springer.com/article/10.1007/s00769-009-0608-6 https://www.proquest.com/docview/2918064407 |
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