VALIDATION, UNCERTAINTY AND
CONTROLE DE QUALIDADE
Method Validation
Assesses the degree of confidence in the laboratory method, developed or applied, according to statistical studies directly through numerous parameters, issuing a final report with the results obtained.
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Validation. Uncertainty. Control Chart. AQAC Cycle (Analytical Quality Assurance)
ConfLab Software is based on the concept of the Analytical Quality Cycle (AQAC) [01], published in one of the international journals with the highest impact factor in analytical chemistry and currently applied in numerous references for validation, uncertainty, and quality controls [02 - 05].
Thus, ConfLab presents the validation module, which covers all statistical tests to meet the most rigorous validation protocols; the uncertainty module, which provides an appropriate estimate using validation information and the equipment applied in the method execution; and the quality control module, which properly monitors results during routine through control charts.
Considering that these calculations are related within the same database, it is possible through AQAC to update validation data and uncertainty estimates based on quality control results.
It is noteworthy that validation, uncertainty estimation, and quality control are key requirements in the current edition of ISO/IEC 17025, with ConfLab being an excellent ally to meet 100% of these requirements.
References
[01] AQAC Cycle (Analytical Quality Assurance Cycle). Ref. Olivares, I.R.B.; Lopes, F.A. Essential steps to providing reliable results using the Analytical Quality Assurance Cycle. Trends in Analytical Chemistry (Regular ed.). v.35, pp.109 - 121, 2012.
[02] Brazilian Compendium of Animal Feed (Sindirações) - 2017.
[03] Validation of Methods for Food Analysis: Focus on Proximate Analysis. Technical Committee on Food Chemistry of REMESP, 106 pp., 2015. ISBN: 978-85-69725-00-8.
[04] Manual of Analytical Quality Assurance – Areas of Food and Input Identity and Quality. Brasília: Ministry of Agriculture, Livestock and Supply, 2015. ISBN: 978-85-7991-093-7.
[05] OLIVARES, Igor Renato Bertoni. Quality Management in Laboratories (3rd edition – revised and expanded). 3rd ed. Campinas: Átomo e Alínea, 2015. 160 pp (3rd edition in Portuguese and English).
Get to Know ConfLab Software.
Uncertainty
Estimates variations arising from analytical processes in the form of a result applied to the measurand.
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Quality Control
Maintains confidence in the quality of your analytical results through monitoring of laboratory routine (by applying control charts) when the evaluated method is applied during routine.
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Software Advantages.
- It’s not a spreadsheet. It’s Software!
- Fast and Easy to use
- No formulas required — the software calculates any parameter without the need for deep statistics knowledge.
- Portability: Access from your computer, tablet, or phone anywhere on the planet.
- Developed to operate with any guideline or standard
- Provide the criteria and the software alerts you when the parameter is not met.
- Developed focusing on the new ISO 17025:2017
- Fully traceable (documents, personnel, and equipment) to meet your Quality Management System
- Create numerous projects that encompass the assured quality cycle (Validation - Uncertainty - Control Chart)
- Generates complete and customizable reports
- Validated Software (receive the software validation report within the system itself)
- All projects are stored and can be accessed from anywhere, on any platform
- Perfect for companies, laboratories, and universities
About the Creators.
Prof. Dr. Igor Renato Bertoni Olivares
is a tenured professor at the Institute of Chemistry of the University of São Paulo (teaching different subjects in Quality Management for laboratories). He has been an external evaluator for Cgcre/Inmetro for laboratory assessments according to ISO/IEC 17025:2017 since 2009. He has provided consulting and courses in laboratories for over 15 years. He worked for 8 years as a consultant for the National Agricultural Laboratory (Lanagro) of the Ministry of Agriculture (MAPA). He has numerous publications in Laboratory Quality Management, notably his book “Quality Management in Laboratories” (published in 2006, currently in its 3rd edition, published in 2015 in Portuguese and in 2016 in English).
Learn MoreProf. Dr. Vitor Hugo Polisél Pacces
is a tenured professor at the Institute of Chemistry of the University of São Paulo (teaching different subjects in Quality Management for laboratories). He has been an external evaluator for Cgcre/Inmetro for laboratory assessments according to ISO/IEC 17025:2017 since 2012. He has provided consulting and courses in laboratories for over 15 years. He worked for 8 years as a consultant for the National Agricultural Laboratory (Lanagro) of the Ministry of Agriculture (MAPA). He has numerous publications and software patents in the area of Laboratory Quality Management.
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