{"title":"通过实验室间研究评估非标称体积微移管校准的再现性不确定度","authors":"Katsuhiro Shirono, Hideyuki Tanaka","doi":"10.1007/s00769-020-01453-5","DOIUrl":null,"url":null,"abstract":"<p>The nominal volume of a variable volume micropipette is the maximum volume of the range specified by the micropipette manufacturer. The purpose of the present study is to quantify the reproducibility standard uncertainty for non-nominal volume micropipette calibrations for variable volume micropipettes. An interlaboratory study was implemented for this purpose, using variable volume micropipettes with nominal volumes of 10?μL, 200?μL, and 1000?μL and setting the measurement volumes as 10?%, 50?%, and 100?% of the nominal volumes. In our previous paper (Accredit Qual Assur 19:377, 2014), we quantified the uncertainty due to reproducibility using only data obtained for nominal volume calibrations. From the results obtained, we found that the reproducibility uncertainties quantified for nominal volumes are too small to cover interlaboratory variations for non-nominal volume calibrations. For calibrations of 10?% and 50?% of the nominal volumes, the reproducibility uncertainties must be increased by the factors of 2.7 and 1.4, respectively, for micropipettes with nominal volumes of 10?μL to 1 000?μL, based on the results of this study.</p>","PeriodicalId":454,"journal":{"name":"Accreditation and Quality Assurance","volume":"26 1","pages":"27 - 39"},"PeriodicalIF":0.8000,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00769-020-01453-5","citationCount":"0","resultStr":"{\"title\":\"Evaluation of reproducibility uncertainty in micropipette calibrations for non-nominal volumes through an interlaboratory study\",\"authors\":\"Katsuhiro Shirono, Hideyuki Tanaka\",\"doi\":\"10.1007/s00769-020-01453-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The nominal volume of a variable volume micropipette is the maximum volume of the range specified by the micropipette manufacturer. The purpose of the present study is to quantify the reproducibility standard uncertainty for non-nominal volume micropipette calibrations for variable volume micropipettes. An interlaboratory study was implemented for this purpose, using variable volume micropipettes with nominal volumes of 10?μL, 200?μL, and 1000?μL and setting the measurement volumes as 10?%, 50?%, and 100?% of the nominal volumes. In our previous paper (Accredit Qual Assur 19:377, 2014), we quantified the uncertainty due to reproducibility using only data obtained for nominal volume calibrations. From the results obtained, we found that the reproducibility uncertainties quantified for nominal volumes are too small to cover interlaboratory variations for non-nominal volume calibrations. For calibrations of 10?% and 50?% of the nominal volumes, the reproducibility uncertainties must be increased by the factors of 2.7 and 1.4, respectively, for micropipettes with nominal volumes of 10?μL to 1 000?μL, based on the results of this study.</p>\",\"PeriodicalId\":454,\"journal\":{\"name\":\"Accreditation and Quality Assurance\",\"volume\":\"26 1\",\"pages\":\"27 - 39\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2021-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s00769-020-01453-5\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accreditation and Quality Assurance\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00769-020-01453-5\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accreditation and Quality Assurance","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00769-020-01453-5","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Evaluation of reproducibility uncertainty in micropipette calibrations for non-nominal volumes through an interlaboratory study
The nominal volume of a variable volume micropipette is the maximum volume of the range specified by the micropipette manufacturer. The purpose of the present study is to quantify the reproducibility standard uncertainty for non-nominal volume micropipette calibrations for variable volume micropipettes. An interlaboratory study was implemented for this purpose, using variable volume micropipettes with nominal volumes of 10?μL, 200?μL, and 1000?μL and setting the measurement volumes as 10?%, 50?%, and 100?% of the nominal volumes. In our previous paper (Accredit Qual Assur 19:377, 2014), we quantified the uncertainty due to reproducibility using only data obtained for nominal volume calibrations. From the results obtained, we found that the reproducibility uncertainties quantified for nominal volumes are too small to cover interlaboratory variations for non-nominal volume calibrations. For calibrations of 10?% and 50?% of the nominal volumes, the reproducibility uncertainties must be increased by the factors of 2.7 and 1.4, respectively, for micropipettes with nominal volumes of 10?μL to 1 000?μL, based on the results of this study.
期刊介绍:
Accreditation and Quality Assurance has established itself as the leading information and discussion forum for all aspects relevant to quality, transparency and reliability of measurement results in chemical and biological sciences. The journal serves the information needs of researchers, practitioners and decision makers dealing with quality assurance and quality management, including the development and application of metrological principles and concepts such as traceability or measurement uncertainty in the following fields: environment, nutrition, consumer protection, geology, metallurgy, pharmacy, forensics, clinical chemistry and laboratory medicine, and microbiology.