Literature DB >> 27188317

Graphene-polyaniline modified electrochemical droplet-based microfluidic sensor for high-throughput determination of 4-aminophenol.

Poomrat Rattanarat1, Akkapol Suea-Ngam2, Nipapan Ruecha3, Weena Siangproh4, Charles S Henry5, Monpichar Srisa-Art2, Orawon Chailapakul6.   

Abstract

We report herein the first development of graphene-polyaniline modified carbon paste electrode (G-PANI/CPE) coupled with droplet-based microfluidic sensor for high-throughput detection of 4-aminophenol (4-AP) in pharmaceutical paracetamol (PA) formulations. A simple T-junction microfluidic platform using an oil flow rate of 1.8 μL/min and an aqueous flow rate of 0.8 μL/min was used to produce aqueous testing microdroplets continuously. The microchannel was designed to extend the aqueous droplet to cover all 3 electrodes, allowing for electrochemical measurements in a single droplet. Parameters including flow rate, water fraction, and applied detection potential (Edet) were investigated to obtain optimal conditions. Using G-PANI/CPE significantly increased the current response for both cyclic voltammetric detections of ferri/ferrocyanide [Fe(CN)6](3-/4-) (10 times) and 4-AP (2 times), compared to an unmodified electrode. Using the optimized conditions in the droplet system, 4-AP in the presence of PA was selectively determined. The linear range of 4-AP was 50-500 μM (R(2) = 0.99), limit of detection (LOD, S/N = 3) was 15.68 μM, and limit of quantification (LOQ, S/N = 10) was 52.28 μM. Finally, the system was used to determine 4-AP spiked in commercial PA liquid samples and the amounts of 4-AP were found in good agreement with those obtained from the conventional capillary zone electrophoresis/UV-Visible spectrophotometry (CZE/UV-Vis). The proposed microfluidic device could be employed for a high-throughput screening (at least 60 samples h(-1)) of pharmaceutical purity requiring low sample and reagent consumption.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  4-Aminophenol; Droplet-based microfluidics; Electrochemical detection; Graphene; Paracetamol; Polyaniline

Mesh:

Substances:

Year:  2016        PMID: 27188317     DOI: 10.1016/j.aca.2016.03.010

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  6 in total

1.  Polycaprolactone-enabled sealing and carbon composite electrode integration into electrochemical microfluidics.

Authors:  Kevin J Klunder; Kaylee M Clark; Cynthia McCord; Kathleen E Berg; Shelley D Minteer; Charles S Henry
Journal:  Lab Chip       Date:  2019-06-28       Impact factor: 6.799

2.  Development of an Efficient Voltammetric Sensor for the Monitoring of 4-Aminophenol Based on Flexible Laser Induced Graphene Electrodes Modified with MWCNT-PANI.

Authors:  Salem Nasraoui; Sami Ameur; Ammar Al-Hamry; Mounir Ben Ali; Olfa Kanoun
Journal:  Sensors (Basel)       Date:  2022-01-22       Impact factor: 3.576

3.  Graphene nanosheet-sandwiched platinum nanoparticles deposited on a graphite pencil electrode as an ultrasensitive sensor for dopamine.

Authors:  Nadeem Baig; Abdel-Nasser Kawde; Abdelaziz Elgamouz; Mohamed Morsy; Ahmed Mohsen Abdelfattah; Rizafizah Othaman
Journal:  RSC Adv       Date:  2022-01-12       Impact factor: 3.361

Review 4.  Electrochemically Deposited Molecularly Imprinted Polymer-Based Sensors.

Authors:  Simonas Ramanavičius; Inga Morkvėnaitė-Vilkončienė; Urtė Samukaitė-Bubnienė; Vilma Ratautaitė; Ieva Plikusienė; Roman Viter; Arūnas Ramanavičius
Journal:  Sensors (Basel)       Date:  2022-02-08       Impact factor: 3.576

5.  Platinized agarose microspheres as a new modifier in graphite paste electrodes for the electrochemical determination of 4-aminophenol.

Authors:  M Tohidinia; A Biabangard; M Noroozifar
Journal:  RSC Adv       Date:  2020-01-16       Impact factor: 4.036

6.  Simultaneous detection of acetaminophen and 4-aminophenol with an electrochemical sensor based on silver-palladium bimetal nanoparticles and reduced graphene oxide.

Authors:  Nannan Dou; Siyu Zhang; Jianying Qu
Journal:  RSC Adv       Date:  2019-10-03       Impact factor: 4.036

  6 in total

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