Development of a New Combined Chemometrics Method, Applied in the Simultaneous Voltammetric Determination of Cinnamic Acid and 3, 4-Dihydroxy Benzoic Acid

Riahi, Siavash; Moghaddam, Abdolmajid Bayandori; Pourbasheer, Eslam; Norouzi, Parviz

doi:10.2174/157341109787047925

Cited by 11 publications

(7 citation statements)

References 37 publications

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“…OSC was performed as a preprocessing step prior to latent variable regression modeling to improve the calibration model [ 25 , 27 ]. OSC has been already applied in the preprocessing of near-infrared spectroscopy [ 25 , 26 ] and on electrochemical data [ 27 , 28 , 29 ]. In particular, Rouhollahi et al used OSC in linear sweep voltammetry data to improve predictions of the determination of ascorbic acid (in concentrations ranging from 3 to 350 ppm) and dopamine (ranging from 5 to 350 ppm) with a glassy carbon electrode [ 27 ], resulting in lower RMSEP values for the content prediction of both acids, compared to the performance of the model calculated with PLS without OSC.…”

Section: Methodsmentioning

confidence: 99%

Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue

Carbó

Carrero

García-Castillo³

et al. 2017

Sensors

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The use of a voltammetric electronic tongue for the quantitative analysis of quality parameters in spring water is proposed here. The electronic voltammetric tongue consisted of a set of four noble electrodes (iridium, rhodium, platinum, and gold) housed inside a stainless steel cylinder. These noble metals have a high durability and are not demanding for maintenance, features required for the development of future automated equipment. A pulse voltammetry study was conducted in 83 spring water samples to determine concentrations of nitrate (range: 6.9–115 mg/L), sulfate (32–472 mg/L), fluoride (0.08–0.26 mg/L), chloride (17–190 mg/L), and sodium (11–94 mg/L) as well as pH (7.3–7.8). These parameters were also determined by routine analytical methods in spring water samples. A partial least squares (PLS) analysis was run to obtain a model to predict these parameter. Orthogonal signal correction (OSC) was applied in the preprocessing step. Calibration (67%) and validation (33%) sets were selected randomly. The electronic tongue showed good predictive power to determine the concentrations of nitrate, sulfate, chloride, and sodium as well as pH and displayed a lower R2 and slope in the validation set for fluoride. Nitrate and fluoride concentrations were estimated with errors lower than 15%, whereas chloride, sulfate, and sodium concentrations as well as pH were estimated with errors below 10%.

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Section: Methodsmentioning

confidence: 99%

Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue

Carbó

Carrero

García-Castillo³

et al. 2017

Sensors

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“…In most cases, filtering with the OSC reduces the complexity of the model by the number of OSC components removed without noticeable enhancement in prediction performance [167,168]. In some cases the OSC method also removes a non-linear relationship between X and Y [169,170].…”

Section: Orthogonal Signal Correctionmentioning

confidence: 99%

Signal Processing in Electrochemistry

Jakubowska

2011

Electroanalysis

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This review presents and promotes preprocessing methods applied in electrochemistry prior to data exploration, calibration and classification. Smoothing by digital filtering, baseline correction, separation of overlapping signals, and also transformations to extract the relevant features of the curve are the algorithms of which the application, operation, and optimization of parameters are described. The presentation completes the description of the procedure enabling orthogonal correction of the signals. The theoretical consideration is demonstrated by examples of the practical application of the described algorithms in electrochemistry in recent years. Software packages useful in signal processing in electrochemistry are also listed. The paper underlines the point that particular methods show the different effects of signal processing and in the case of the improper selection of the algorithm or its parameters, undesirable distortions of the curves may be observed. Therefore a knowledge of signal processing methodology is necessary before its application.

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“…Genetic algorithms (GAs), which are inspired by the evolutionary principle of “survival of the fittest,” have been proposed as powerful search strategies for tackling complex optimization problems with high efficiencies and robustness [15, 16]. It is desirable that GAs should be suitable for automatically and rapidly optimizing the system parameters of SRA.…”

Section: Introductionmentioning

confidence: 99%

The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks

Deng

Xiang

et al. 2014

The Scientific World Journal

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Simultaneous determination of multiple weak chromatographic peaks via stochastic resonance algorithm attracts much attention in recent years. However, the optimization of the parameters is complicated and time consuming, although the single-well potential stochastic resonance algorithm (SSRA) has already reduced the number of parameters to only one and simplified the process significantly. Even worse, it is often difficult to keep amplified peaks with beautiful peak shape. Therefore, multiobjective genetic algorithm was employed to optimize the parameter of SSRA for multiple optimization objectives (i.e., S/N and peak shape) and multiple chromatographic peaks. The applicability of the proposed method was evaluated with an experimental data set of Sudan dyes, and the results showed an excellent quantitative relationship between different concentrations and responses.

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Development of a New Combined Chemometrics Method, Applied in the Simultaneous Voltammetric Determination of Cinnamic Acid and 3, 4-Dihydroxy Benzoic Acid

Cited by 11 publications

References 37 publications

Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue

Quantitative Determination of Spring Water Quality Parameters via Electronic Tongue

Signal Processing in Electrochemistry

The Application of Multiobjective Genetic Algorithm to the Parameter Optimization of Single-Well Potential Stochastic Resonance Algorithm Aimed at Simultaneous Determination of Multiple Weak Chromatographic Peaks

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