Experimental design-artificial neural network-genetic algorithm optimization and computer-assisted design of celecoxib molecularly imprinted polymer/carbon nanotube sensor

Nezhadali, Azizollah; Sadeghzadeh, Samira

doi:10.1016/j.jelechem.2017.04.032

Cited by 25 publications

(10 citation statements)

References 40 publications

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“…Some unsuccessful recognition result images of paper and comparison images are shown in Figure 8. e feature information of Figure 8 is shown in Tables 6 and 7, where these numbers (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15) are characteristic information number (see Section 2.1 for details).…”

Section: Some Unsuccessful Recognition Results Images Andmentioning

confidence: 99%

“…A new adaptive version of particle swarm optimizer was used for improving the robustness and the stability of the controller according to the climatic changes and overcoming the problem of local optimum [10]. A NN was used for designing sensors, the parameters were modeled by ANN and optimized by genetic algorithm (GA) within the practical levels, and the optimization process led to find the most accurate optimal conditions possible [11].…”

Section: Introductionmentioning

confidence: 99%

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Study on Waste Type Identification Method Based on Bird Flock Neural Network

Chen

2020

Mathematical Problems in Engineering

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According to the waste type identification requirement in waste classification, a waste type identification method based on a bird flock neural network (BFNN) was proposed. The problem of obtaining the feature dataset of waste images was considered, and color histogram and texture feature extraction techniques were used. The local optimum problem of a typical backpropagation neural network (BPNN) was considered, and a bird flock optimization (BFO) algorithm was proposed. The accuracy problem of the typical BPNN was considered, and a new online weight adjustment method of neurons was proposed. The number of hidden layer neurons (nodes) of the typical BPNN was considered, and an online adjustment method was proposed. The experimental results show that the recyclables (paper, plastic, glass, and cloth) and nonrecyclables can effectively be identified by the waste type identification method based on the BFNN, and the recognition accuracy is 81% which meets actual needs.

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Section: Some Unsuccessful Recognition Results Images Andmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on Waste Type Identification Method Based on Bird Flock Neural Network

Chen

2020

Mathematical Problems in Engineering

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“…An easy way to cover the PGE surface is to apply multiple CV scans to a solution containing the desired modifier(s) [20,60,86,87,108], most often resulting in electrode surface polymeric films like polypyrrole [86,109,110], polyaniline [105,109], poly(2-thiobarbituric acid) [59], poly(Azure-B) [45], poly(xylenol orange) [46], poly(eriochrom black T) [111,112], poly(bromocresol green) [113], etc. or MIPs if the polymerization solutions contain both the monomer(s) and the analyte(s), which act as template molecule(s) [38,49,89,91,92,106,107,[114][115][116][117][118][119][120][121][122][123][124] (Table 3). Covering an electrode with electrogenerated polymeric films is simple, rapid, and cost-effective and results in sensors with enhanced electrochemical performance characteristics.…”

Section: Applications Of (Electro)chemically Modified Pges To the Vol...mentioning

confidence: 99%

“…The encapsulated template molecules were extracted by introducing the polymer adduct into an adequate solvent or solvent mixture for a given time, usually under stirring [36,37,[48][49][50][51][52]65,91,92,120,123,[125][126][127][128], with the complete removal of the analyte molecules most often being confirmed by the absence of the characteristic signal in voltametric recordings [48,[50][51][52]120,123,125] but also by FTIR [52], UV-Vis [48,49], or EDS analysis [120,128]. Some studies reported the electrochemical de-doping of the imprinted polymer performed either by cyclic [129] or differential pulse potential scanning [106,107,121,122,124] or by applying to the PGE covered with the polymeric film a given potential for a well-established time period [38].…”

Section: Applications Of (Electro)chemically Modified Pges To the Vol...mentioning

confidence: 99%

Recent Developments in Voltammetric Analysis of Pharmaceuticals Using Disposable Pencil Graphite Electrodes

et al. 2022

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The even growing production of both well-known and new derivatives with pharmaceutical action involves the need for developing facile and reliable methods for the analysis of these compounds. Among the widely used instrumental techniques, the electrochemical ones are probably the simplest and the most rapid, also having good performance characteristics. However, the key tool in electroanalysis is the working electrode. Due to the inherent electrochemical and economic advantages of the pencil graphite electrode (PGE), the interest in its applicability in the analysis of different analytes has continuously increased in recent years. Thus, this paper aims to review the scientific reports published in the last 10 years on the use of the disposable eco- and user-friendly PGEs in the electroanalysis of compounds of pharmaceutical importance in different matrices. The PGE characteristics and designs (bare or modified with various types of materials), along with their applications and performance parameters (e.g., linear range, limit of detection, and reproducibility), will be discussed, and their advantages and limitations will be critically emphasized.

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“…A similar approach was taken for the detection of mebeverin, where a graphite electrode was used and where the template was also removed by voltammetric cycling [30]. This was also the case for celecoxib, in the case of which the only deviation from this procedure was that a different potential range was employed for the removal of the template via voltammetric cycling [31]. 1 LOD-limit of detection.…”

Section: Detection Of Antibiotics and Other Drugsmentioning

confidence: 99%

Electropolymerised Polypyrroles as Active Layers for Molecularly Imprinted Sensors: Fabrication and Applications

Glosz

Stolarczyk

2021

Materials

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Conjugated polymers are widely used in the development of sensors, but even though they are sensitive and robust, they typically show limited selectivity, being cross-sensitive to many substances. In turn, molecular imprinting is a method involving modification of the microstructure of the surface to incorporate cavities, whose shape matches that of the “template”—the analyte to be detected, resulting in high selectivity. The primary goal of this review is to report on and briefly explain the most relevant recent developments related to sensors utilising molecularly imprinted polypyrrole layers and their applications, particularly regarding the detection of bioactive substances. The key approaches to depositing such layers and the most relevant types of analytes are highlighted, and the various trends in the development of this type of sensors are explored.

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Experimental design-artificial neural network-genetic algorithm optimization and computer-assisted design of celecoxib molecularly imprinted polymer/carbon nanotube sensor

Cited by 25 publications

References 40 publications

Study on Waste Type Identification Method Based on Bird Flock Neural Network

Study on Waste Type Identification Method Based on Bird Flock Neural Network

Recent Developments in Voltammetric Analysis of Pharmaceuticals Using Disposable Pencil Graphite Electrodes

Electropolymerised Polypyrroles as Active Layers for Molecularly Imprinted Sensors: Fabrication and Applications

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