Rational synthesis of rare-earth lanthanum molybdate covered reduced graphene oxide nanocomposites for the voltammetric detection of Moxifloxacin hydrochloride

Akilarasan, Muthumariappan; Tamilalagan, Elayappan; Chen, Shen‐Ming; Maheshwaran, Selvarasu; Fan, Chi-Husan; Habila, Mohamed A.

doi:10.1016/j.bioelechem.2022.108145

Cited by 15 publications

(2 citation statements)

References 40 publications

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“…The observed peaks are attributed to the oxidation of the piperazine ring common to the different FQs (Figure S11). 31,32 A hyperbolic response was observed as evidenced in Figure 2e−g, from which the dissociation constant (k D ) and the maximum binding response at saturation (B max ) were calculated by fitting those to a one site saturation ligand binding model (Langmuir model, Table S1). Furthermore, a logarithmic relationship could be employed between the concentrations and the corresponding peak heights for low concentrations (from which the LOD could be calculated).…”

Section: ■ Results and Discussionmentioning

confidence: 99%

A Sensor Array Based on Molecularly Imprinted Polymers and Machine Learning for the Analysis of Fluoroquinolone Antibiotics

2022

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Fluoroquinolones (FQs) are one of the most important types of antibiotics in the clinical, poultry, and aquaculture industries, and their monitoring is required as the abuse has led to severe issues, such as antibiotic residues and antimicrobial resistance. In this study, we report a voltammetric electronic tongue (ET) for the simultaneous determination of ciprofloxacin, levofloxacin, and moxifloxacin in both pharmaceutical and biological samples. The ET comprises four sensors modified with three different customized molecularly imprinted polymers (MIPs) and a nonimprinted polymer integrated with Au nanoparticle-decorated multiwall carbon nanotubes (Au-fMWCNTs). MWCNTs were first functionalized to serve as a supporting substrate, while the anchored Au nanoparticles acted as a catalyst. Subsequently, MIP films were obtained by electropolymerization of pyrrole in the presence of the different target FQs. The sensors’ morphology was characterized by scanning electron microscopy and transmission electron microscopy, while the modification process was followed electrochemically step by step employing [Fe(CN)6]3–/4– as the redox probe. Under the optimal conditions, the MIP(FQs)@Au-fMWCNT sensors exhibited different responses, limits of detection of ca. 1 μM, and a wide detection range up to 300 μM for the three FQs. Lastly, the developed ET presents satisfactory agreement between the expected and obtained values when used for the simultaneous determination of mixtures of the three FQs (R 2 ≥0.960, testing subset), which was also applied to the analysis of FQs in commercial pharmaceuticals and spiked human urine samples.

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Section: ■ Results and Discussionmentioning

confidence: 99%

A Sensor Array Based on Molecularly Imprinted Polymers and Machine Learning for the Analysis of Fluoroquinolone Antibiotics

2022

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“…Composite metal oxides enhance conductivity, stability, and sensitivity, offering improved overall performance compared to individual components. 126–128…”

Section: Metal Oxidesmentioning

confidence: 99%

Metal oxide-based electrochemical sensors for pesticide detection in water and food samples: a review

Maheshwaran,

Chen,

Lin

et al. 2024

Environ. Sci.: Adv.

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Comparative validation of UV-spectrophotometry and RP-HPLC methods for cefixime and moxifloxacin analysis

Chaudhari,

Parmar,

Dudhat

2025

Analytical Biochemistry

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Rational synthesis of rare-earth lanthanum molybdate covered reduced graphene oxide nanocomposites for the voltammetric detection of Moxifloxacin hydrochloride

Cited by 15 publications

References 40 publications

A Sensor Array Based on Molecularly Imprinted Polymers and Machine Learning for the Analysis of Fluoroquinolone Antibiotics

A Sensor Array Based on Molecularly Imprinted Polymers and Machine Learning for the Analysis of Fluoroquinolone Antibiotics

Metal oxide-based electrochemical sensors for pesticide detection in water and food samples: a review

Comparative validation of UV-spectrophotometry and RP-HPLC methods for cefixime and moxifloxacin analysis

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