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Adv Pharm Bull. 2021;11(3): 469-476.
doi: 10.34172/apb.2021.054
PMID: 34513621
PMCID: PMC8421623
Scopus ID: 85108912789
  Abstract View: 1334
  PDF Download: 536
  Full Text View: 261

Research Article

Development and Optimization of Solanum Lycocarpum Polyphenol Oxidase-Based Biosensor and Application towards Paracetamol Detection

Rafael Souza Antunes 1 ORCID logo, Douglas Vieira Thomaz 1 ORCID logo, Luane Ferreira Garcia 1, Eric de Souza Gil 1, Flavio Marques Lopes 1* ORCID logo

1 Faculty of Pharmacy, Federal University of Goias, R. 240, S/n - Setor Leste Universitário, Goiânia - GO, Brazil. Zip Code: 74605-170.
*Corresponding Author: *Corresponding Author: Flavio Marques Lopes, Email: , Email: flaviomarques@ufg.br

Abstract

Purpose: The development biosensing technologies capable of delivering fast and reliable analysis is a growing trend in drug quality control. Considering the emerging use of plant-based polyphenol oxidases (PPO) as biological component of electrochemical biosensors, this work reports the first Solanum lycocarpum PPO biosensor and its use in the pharmaceutical analysis of paracetamol in tablet formulations.

Methods: The biosensor was optimized regarding fruit maturation (immature and mature-ripe), vegetal extract volume to be used in biosensor construction as well as optimal pH of electrochemical cell fluid.

Results: Results evidenced that the extract which rendered the biosensor with best analytical performance was from immature fruits, and the biosensor produced using 100 µL of crude plant extract promoted better faradaic signal gathering. Moreover, when neutral pH media was used in the electrochemical cell, the biosensor showcased best faradaic signal output from the used redox probe (catechol), suggesting thence that the method presents high sensibility for phenolic compounds detection. Furthermore, the biosensor was able to quantify paracetamol in a linear range from 50 to 300 μM, showcasing LoD and LoQ of 3 μM and 10 μM, respectively.

Conclusion: after careful evaluation, this biosensor might be a low-cost alternative for conventional pharmaceutical quality control methods.




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Submitted: 15 Oct 2019
Revision: 30 Jun 2020
Accepted: 07 Jul 2020
ePublished: 07 Jul 2020
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