Chemometric and Statistical Evaluation of Calibration Curves in Pharmaceutical Analysis—A Short Review on Trends and Recommendations
The calibration of an analytical method is a very important part of its development, and only the proper statistical and chemometric evaluation of the results, together with understanding this process, allows good results. The purpose of this minireview is to call the reader's attention to the major problems in calibration: curvilinearity, heteroscedasticity, presence of outliers, transformation of results, and distribution and autocorrelation of residuals. The common misunderstandings and mistakes are emphasized to inform the reader. Additionally, the computational package “quantchem” for GNU R environment, allowing full and automatic calibration evaluation, is presented.
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Document Type: Research Article
Publication date: 01 May 2012
More about this publication?
- The Journal of AOAC INTERNATIONAL publishes refereed papers and reviews in the fields of chemical, biological and toxicological analytical chemistry for the purpose of showcasing the most precise, accurate and sensitive methods for analysis of foods, food additives, supplements and contaminants, cosmetics, drugs, toxins, hazardous substances, pesticides, feeds, fertilizers and the environment available at that point in time. The scope of the Journal includes unpublished original research describing new analytical methods, techniques and applications; improved approaches to sampling, both in the field and the laboratory; better methods of preparing samples for analysis; collaborative studies substantiating the performance of a given method; statistical techniques for evaluating data. The Journal will also publish other articles of general interest to its audience, e.g., technical communications; cautionary notes; comments on techniques, apparatus, and reagents.
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