Literature DB >> 26469829

Second order advantage obtained by spectroelectrochemistry along with novel carbon nanotube modified mesh electrode: Application for determination of acetaminophen in Novafen samples.

Karim Asadpour-Zeynali1, S Maryam Sajjadi2, Fatemeh Taherzadeh3.   

Abstract

A matrix-augmentation multivariate curve resolution-alternating least-squares (MA-MCR-ALS) has been conducted on the spectroelectrochemical data of acetaminophen oxidation in order to quantify acetaminophen in Novafen capsule in the presence of unknown interferences. The experiments were carried out using new cheap mesh electrode, namely carbon nanotube modified mesh electrode (CNMME) as optically transparent thin layer electrode (OTTLE). For each sample, a second order spectroelectrochemical data was obtained and MA-MCR-ALS method was applied to analyze these data. Unlike full trilinear models such as PARAFAC, MCR-ALS is flexible in applying trilinearity constraint for each component, a fact which makes it manage deviations from trilinearity of data effectively. This method was employed in both spectral and kinetic augmentation mode of data under examining different trilinear components. However, spectral augmentation was the only setting which allows MA-MCR-ALS to solve the analytical problem achieving the second order advantage. Therefore, here the results of the augmentation in this mode have been described. In order to obtain the best analytical figures of merit in the analysis, different constraints were investigated. The results indicated the accuracy of the proposed method.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acetaminophen; MA-MCR–ALS; Modified mesh electrode; Spectroelectrochemistry

Mesh:

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Year:  2015        PMID: 26469829     DOI: 10.1016/j.saa.2015.09.035

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  1 in total

1.  One millimeter per minute growth rates for single wall carbon nanotube forests enabled by porous metal substrates.

Authors:  Naoyuki Matsumoto; Azusa Oshima; Sachiko Ishizawa; Guohai Chen; Kenji Hata; Don N Futaba
Journal:  RSC Adv       Date:  2018-02-19       Impact factor: 3.361

  1 in total

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