2006
DOI: 10.1016/j.jhazmat.2005.09.016
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Conductometric simultaneous determination of acetic acid, monochloroacetic acid and trichloroacetic acid using orthogonal signal correction-partial least squares

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Cited by 10 publications
(10 citation statements)
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“…Ni [20] applied the PLS and PCR to resolve the potentiometric titration data from two five-acid mixtures containing: (i) phosphoric, malonic, formic, acetic and chloroacetic acids, and (ii) citric, boric, oxalic, malonic and succinic acids, and good quantitative results were obtained. Ghorbani et al [24] reported a conductometric method for simultaneous determination of acetic, monochloroacetic and trichloroacetic acids with the use of the orthogonal signal correction (OSC) and PLS. The %RPE S (%relative prediction error for individual analyte) for these acids with and without OSC were 7.18, 12.50 and 7.00, and 13.6, 18.5 and 13.6, respectively.…”
Section: Acid-base Potentiometric Titrationmentioning
confidence: 99%
“…Ni [20] applied the PLS and PCR to resolve the potentiometric titration data from two five-acid mixtures containing: (i) phosphoric, malonic, formic, acetic and chloroacetic acids, and (ii) citric, boric, oxalic, malonic and succinic acids, and good quantitative results were obtained. Ghorbani et al [24] reported a conductometric method for simultaneous determination of acetic, monochloroacetic and trichloroacetic acids with the use of the orthogonal signal correction (OSC) and PLS. The %RPE S (%relative prediction error for individual analyte) for these acids with and without OSC were 7.18, 12.50 and 7.00, and 13.6, 18.5 and 13.6, respectively.…”
Section: Acid-base Potentiometric Titrationmentioning
confidence: 99%
“…where, new T is calculated as follows: (8) In KOSC algorithm, because the nonlinear mapping function ) (⋅ is unknown visually and the dimensionality of feature space is arbitrarily high, direct eigenvalue solution on (3) seems difficult. The key is to get the explicit form of kernel matrix…”
Section: First Consider a Nonlinear Transformation Of The Input Varimentioning
confidence: 99%
“…OSC filtered data give a much simpler calibration model by reducing the required number of latent variables, and thus the interpretation of the model becomes easier. Since then, various versions of OSC algorithms [3][4][5][6][7][8][9][10] have emerged as a powerful and widely applicable preprocessing tool, in which the filtered data constitute an optimal platform for further calibration modeling according to model complexity, predictive ability and interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…This was made by titrations of sodium acetate in a mixture of acetic anhydride and acetic acid which was 0.05-0.1 mol dm À3 in sodium perchlorate [39]. A simultaneous conductometric titration method for determination of mixtures of acetic acid, monochloroacetic acid and trichloroacetic acid based on the multivariate calibration partial least squares is proposed by Ghorbani et al [40]. Fifteen metal acetates in aqueous medium have been conductometrically titrated with trichloroacetic acid by Gaslini and Nahum [41].…”
Section: Introductionmentioning
confidence: 99%