A non-statistical approach in systematic error estimation at some metal ions determination in environmental objects by stripping voltammetry

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Abstract

A technique for systematic error estimation and compensation in determination of bismuth (III), copper (II) and mercury (II) by stripping voltammetry in environmental objects was developed. The analytical signal modelling with the phenomenological functions for systematic error estimation of base line subtraction was used as a chemometric tool. The dependences of systematic error on relative magnitude of analytical signals of determined metals were used to calculate the mean value of systematic error and its confidential interval in order to correct the experimental results. The efficiency of the proposed technique is proved by determination of metals in model solutions and environmental objects. The proposed procedure allows not only reducing the systematic error but also decreasing the dispersion of experimental values (narrowing the confidence interval). The proposed procedure of systematic error compensation yields to increasing the analysis accuracy for determination of mercury (II), copper (II), and bismuth (III) in environmental objects by stripping voltammetry.

Original languageEnglish
Pages (from-to)11-17
Number of pages7
JournalChemometrics and Intelligent Laboratory Systems
Volume88
Issue number1
DOIs
Publication statusPublished - 15 Aug 2007

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Systematic Error
Systematic errors
Error Estimation
Voltammetry
Error analysis
Metal ions
Copper
Metals
Error Compensation
Error compensation
Bismuth
Mercury
Mercury (metal)
Chemometrics
Subtraction
Mean Value
Confidence interval
Object
Baseline
Calculate

Keywords

  • Analysis accuracy
  • Analytical signal modelling
  • Compensation procedure
  • Stripping voltammetry
  • Systematic error estimation

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Statistics and Probability

Cite this

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title = "A non-statistical approach in systematic error estimation at some metal ions determination in environmental objects by stripping voltammetry",
abstract = "A technique for systematic error estimation and compensation in determination of bismuth (III), copper (II) and mercury (II) by stripping voltammetry in environmental objects was developed. The analytical signal modelling with the phenomenological functions for systematic error estimation of base line subtraction was used as a chemometric tool. The dependences of systematic error on relative magnitude of analytical signals of determined metals were used to calculate the mean value of systematic error and its confidential interval in order to correct the experimental results. The efficiency of the proposed technique is proved by determination of metals in model solutions and environmental objects. The proposed procedure allows not only reducing the systematic error but also decreasing the dispersion of experimental values (narrowing the confidence interval). The proposed procedure of systematic error compensation yields to increasing the analysis accuracy for determination of mercury (II), copper (II), and bismuth (III) in environmental objects by stripping voltammetry.",
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author = "Romanenko, {S. V.} and Lyudmila Nikolaevna Larina and Larin, {S. L.}",
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T1 - A non-statistical approach in systematic error estimation at some metal ions determination in environmental objects by stripping voltammetry

AU - Romanenko, S. V.

AU - Larina, Lyudmila Nikolaevna

AU - Larin, S. L.

PY - 2007/8/15

Y1 - 2007/8/15

N2 - A technique for systematic error estimation and compensation in determination of bismuth (III), copper (II) and mercury (II) by stripping voltammetry in environmental objects was developed. The analytical signal modelling with the phenomenological functions for systematic error estimation of base line subtraction was used as a chemometric tool. The dependences of systematic error on relative magnitude of analytical signals of determined metals were used to calculate the mean value of systematic error and its confidential interval in order to correct the experimental results. The efficiency of the proposed technique is proved by determination of metals in model solutions and environmental objects. The proposed procedure allows not only reducing the systematic error but also decreasing the dispersion of experimental values (narrowing the confidence interval). The proposed procedure of systematic error compensation yields to increasing the analysis accuracy for determination of mercury (II), copper (II), and bismuth (III) in environmental objects by stripping voltammetry.

AB - A technique for systematic error estimation and compensation in determination of bismuth (III), copper (II) and mercury (II) by stripping voltammetry in environmental objects was developed. The analytical signal modelling with the phenomenological functions for systematic error estimation of base line subtraction was used as a chemometric tool. The dependences of systematic error on relative magnitude of analytical signals of determined metals were used to calculate the mean value of systematic error and its confidential interval in order to correct the experimental results. The efficiency of the proposed technique is proved by determination of metals in model solutions and environmental objects. The proposed procedure allows not only reducing the systematic error but also decreasing the dispersion of experimental values (narrowing the confidence interval). The proposed procedure of systematic error compensation yields to increasing the analysis accuracy for determination of mercury (II), copper (II), and bismuth (III) in environmental objects by stripping voltammetry.

KW - Analysis accuracy

KW - Analytical signal modelling

KW - Compensation procedure

KW - Stripping voltammetry

KW - Systematic error estimation

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