Developing a novel and intelligent chemometrics-assisted molecularly imprinted electrochemical sensor: Application to the improvement of the efficiency of the treatment of Parkinson's disease
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Abstract
In this work, a novel chemometrics-assisted electrochemical approach has been developed based on fabrication of a novel electrochemical sensor under computerized methods for simultaneous determination of levodopa (LD), carbidopa (CD) and benserazide (BA) in the presence of indigo carmine (IC) as uncalibrated interference. A glassy carbon electrode (GCE) was modified with multiwalled carbon nanotubes-1-butyl-3-methylimidazolium chloride, [bmim]Cl (MWCNTs-IL), and triple templates molecularly imprinted polymers (TTMIPs) were electrochemically synthesized onto its surface. The effects of experimental parameters on response of the sensor were screened and optimized by Min Run screening and central composite design, respectively. Under optimized conditions, the third-order hydrodynamic differential pulse voltammetric data were recorded and modeled by MCR-ALS, PARAFAC2, U-PLS/RTL, N-PLS-RTL, U-PCA/RTL, and APARAFAC to select the best algorithm for assisting the sensor with the aim of simultaneous determination of LD, CD and BA in the presence of IC as uncalibrated interference. Our results confirmed MCR-ALS showed the best performance to assist the sensor for the analysis of synthetic samples. The TTMIPs/MWCNTs-IL/GCE assisted by MCR-ALS was also successful in analysis of pharmaceuticals used as medications to the treatment of Parkinson's disease, and its performance was comparable with HPLC-UV as the refence method.
期刊介绍：
Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines.
Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data.
The journal deals with the following topics:
1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.)
2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered.
3) Development of new software that provides novel tools or truly advances the use of chemometrical methods.
4) Well characterized data sets to test performance for the new methods and software.
The journal complies with International Committee of Medical Journal Editors'' Uniform requirements for manuscripts.
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