Estimating the decision limit (CCα) and the capability of detection (CCβ) from analytical curves on water analysis for substances with permitted limits: an electronic spreadsheet for results interpretation in Public Health Laboratories

  • Sergio Dovidauskas Instituto Adolfo Lutz, Centro de Laboratorios Regional de Ribeirão Preto, Nucleo de Ciencias Quimicas e Bromatologicas, Ribeirão Preto, SP
  • Isaura Akemi Okada Instituto Adolfo Lutz, Centro de Laboratorios Regional de Ribeirão Preto, Nucleo de Ciencias Quimicas e Bromatologicas, Ribeirão Preto, SP
  • Marina Miyuki Okada Instituto Adolfo Lutz, Centro de Laboratorios Regional de Ribeirão Preto, Nucleo de Ciencias Quimicas e Bromatologicas, Ribeirão Preto, SP
  • Rita de Cassia Briganti Instituto Adolfo Lutz, Centro de Laboratorios Regional de Ribeirão Preto, Nucleo de Ciencias Quimicas e Bromatologicas, Ribeirão Preto, SP
  • Camila Cardoso de Oliveira Instituto Adolfo Lutz, Centro de Materiais de Referencia, Nucleo de Analise e Tratamento de Dados, São Paulo, SP
Keywords: decision limit, capability of detection, analytical curves, water analysis, electronic spreadsheet, interpretation of results

Abstract

In this paper the electronic spreadsheets built in Microsoft ExcelR software are presented, and these parameters enable to estimate the decision limit (CCα) and the detection capability (CCβ) at the detection limit and of the maximum permitted value (MVP) regions. The estimates are evaluated from linear and homoscedastic analytical curves obtained in calibration procedures based on ISO standards and IUPAC guidelines. After validating by means of manual data processing, the electronic spreadsheets were used for determining the nitrite in bottled waters (MVP = 0.02 mg/L) and the fluoride contents in public supply waters (compliance interval = 0.6 to 0.8 mg/L). For fluoride analysis there are the minimum required value (0.6 mg/L) and the maximum acceptable value (0.8 mg/L) for its concentration; therefore, the spreadsheet computes the critical concentration at both limits with a probability of a type I error equal to 0.05. On that account, the electronic spreadsheets provide the rapid decision between compliant and non-compliant data in the interpretation of results.
Published
2015-09-30
How to Cite
Dovidauskas, S., Okada, I. A., Okada, M. M., Briganti, R. de C., & Oliveira, C. C. de. (2015). Estimating the decision limit (CCα) and the capability of detection (CCβ) from analytical curves on water analysis for substances with permitted limits: an electronic spreadsheet for results interpretation in Public Health Laboratories. Revista Do Instituto Adolfo Lutz, 73(2), 148-157. https://doi.org/10.18241/0073-98552014731600
Section
ORIGINAL ARTICLE

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