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Enhanced electro active properties of NiCo2O4 nanostructures using garlic extract for the sensitive and selective enzyme-free detection of ascorbic acid

  • Abdul Ghaffar Solangi
  • , Aneela Tahira
  • , Abdul Sattar Chang
  • , Tajnees Pirzada
  • , Zulfiquar Ali Solangi
  • , Fouzia Chang
  • , Muhammad Ali Bhatti
  • , Adeel Liaquat Bhatti
  • , Shusheel Kumar
  • , Abdul Hanan
  • , Elmuez Dawi
  • , Abd Al Karim Haj Ismail
  • , Shymaa S. Medany
  • , Ayman Nafady
  • , L. V. Kangle
  • , Brigitte Vigolo
  • , Zafar Hussain Ibupoto
  • Shah Abdul Latif University
  • University of Sindh
  • Mehran University of Engineering & Technology
  • Harbin Engineering University
  • Cairo University
  • King Saud University
  • South-Central University for Nationalities
  • Université de Lorraine

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Electroactive materials with low costs, simplicity, eco-friendliness, and efficiency are highly desirable for a variety of applications, including energy conversion, energy storage, and non-enzymatic sensing. Through the use of garlic green leaf biomass, active molecules are extracted to enhance NiCo2O4 nanostructure electroactive properties via reducing, stabilizing, and capping agents. A NiCo2O4 nanostructure electroactive material was created using 5 mL, 10 mL, and 15 mL of garlic leaf extract heated hydrothermally. An evaluation of the material's morphology, crystallinity, and surface chemical composition, as well as the application of electrochemical tests aimed at detecting ascorbic acid (AA) without the use of enzymes in phosphate buffer solution with pH of 7.4. Pure NiCo2O4 has the morphology of nanorods which was transformed into thinner nanowires consisting of nanoparticles with the addition of garlic leaves extract. Biosensors without enzymes have the advantages of being easy to make, reproducible, and stable over those with enzymes. NiCo2O4 nanostructures fabricated with garlic leaf extract in a 10 mL volume are being developed as non-enzymatic AA sensors. The AA sensor presented here operates linearly from 0.5 to 8.5 mM with a detection limit of 0.01 mM. It was found that an AA sensor is highly selective, stable, repeatable, and capable of quantifying AA concentrations in various real-life samples.

Original languageEnglish
Article number1549
JournalJournal of Materials Science: Materials in Electronics
Volume34
Issue number20
DOIs
StatePublished - Jul 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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