Guidelines for data acquisition and data quality evaluation in environmental chemistry
About: This article is published in Analytical Chemistry.The article was published on 1980-12-01. It has received 1424 citations till now. The article focuses on the topics: Data quality & Data acquisition.
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1,799 citations
TL;DR: In this article, an analytical method involving analyte extraction with a Carbograph 4 cartridge and LC coupled with negative turbo ion spray tandem mass spectrometry in the selected reaction monitoring mode was developed.
Abstract: Sewage treatment plant (STP) effluents with primarily domestic inputs are strongly suspected to be an important source of natural and synthetic estrogens contaminating the aquatic environment. Even a few ng/L of some of these substances can provoke reproductive disturbances in riverine fish. The main purpose of this investigation has been that of ascertaining whether activated sludge STPs (ASSTPs) are able to produce significant amounts of free estrogens. For this purpose, we have monitored monthly estriol (E3), estradiol (E2), estrone (E1) and ethinylestradiol (EE2) in influents and effluents of six Roman ASSTPs for five months. To do this, we have developed an original analytical method involving analyte extraction with a Carbograph 4 cartridge and LC coupled with negative turbo ion spray tandem mass spectrometry in the selected reaction monitoring mode. Analyte recovery ranged between 86 and 91%, and limits of quantification were below 1 ng/L. Over five months, inlet concentrations of E3, E2, E1 and EE...
979 citations
TL;DR: In this paper, the authors present guidelines for data acquisition and data quality evaluation in Environmental Chemistry, including planning, quality assurance and quality control, verification and validation, precision and accuracy, sampling, measurements, and documentation and reporting.
Abstract: This document is a revision to the ''Guidelines for Data Acquisition and Data Quality Evaluation in Environmental Chemistry''. The guidelines presented are organized according to a general operational model for conducting analytical measurements of environmental samples. Elements needed to obtain reliable data as well as factors that have been shown to produce unreliable measurements, are identified. The principles described include planning, quality assurance and quality control, verification and validation, precision and accuracy, sampling, measurements, and documentation and reporting. Differing degrees of reliability, dictated by the objectives, time, and resources available, influence the protocol chosen to meet the requirements of a given problem. Advances in analytical methodology continue to lower the concentration levels at which reliable measurements can be made, and requirements for increased sensitivity provide an incentive for advances in analytical procedures. 4 figures, 1 table.
694 citations
01 Jan 2004
TL;DR: The HarvestPlus Technical Monographs as mentioned in this paper provide a forum for HarvestPlus research outputs, which can be of two kinds: • state-of-the-art reviews that help to establish and define Harvestplus research questions or • " gold standard " procedures to be followed in Harvest plus research.
Abstract: 2 HarvestPlus Technical Monographs are designed to provide a forum for HarvestPlus research outputs. Technical Monographs can be of two kinds: • state-of-the-art reviews that help to establish and define HarvestPlus research questions or • " gold standard " procedures to be followed in HarvestPlus research. HarvestPlus technical monographs are written by recognized experts in the field and are externally peer reviewed prior to publication.
627 citations
TL;DR: Solid-phase immunoassays and ELISA have technically simplified antigen quantitation and antibody detection and are the basis for most modern immunodiagnostic tests for acquired immunodeficiency syndrome (AIDS), hepatitis, allergies, and many other human and animal diseases.
Abstract: (2000). Enzyme-Linked Immunosorbent Assay. Journal of Immunoassay: Vol. 21, No. 2-3, pp. 165-209.
500 citations
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01 Jan 1972
TL;DR: In this paper, the authors present a survey of statistical and data analysis methods for probability distributions and their application to statistical quality control problems, including one and two Sided Tests of Hypotheses.
Abstract: 1. Introduction to Statistics and Data Analysis 2. Probability 3. Random Variables and Probability Distributions 4. Mathematical Expectations 5. Some Discrete Probability Distributions 6. Some Continuous Probability Distributions 7. Functions of Random Variables (optional) 8. Fundamental Distributions and Data Description 9. One and Two Sample Estimation Problems 10. One and Two Sided Tests of Hypotheses 11. Simple Linear Regression 12. Multiple Linear Regression 13. One Factor Experiments: General 14. Factorial Experiments (Two or More Factors) 15. 2k Factorial Experiments and Fractions 16. Nonparametric Statistics 17. Statistical Quality Control 18. Bayesian Statistics
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