Cubic-shaped corylus colurna extract coated Cu2O nanoparticles-based smartphone biosensor for the detection of ascorbic acid in real food samples

Selcan Karakuş; Fatih Özbaş; Gülsen Baytemir; Nevin Taşaltın

doi:10.1016/j.foodchem.2023.135918

Cubic-shaped corylus colurna extract coated Cu₂O nanoparticles-based smartphone biosensor for the detection of ascorbic acid in real food samples

Food Chem. 2023 Aug 15:417:135918. doi: 10.1016/j.foodchem.2023.135918. Epub 2023 Mar 11.

Authors

Selcan Karakuş¹, Fatih Özbaş², Gülsen Baytemir³, Nevin Taşaltın⁴

Affiliations

¹ Istanbul University-Cerrahpaşa, Department of Chemistry, Faculty of Engineering, Avcılar, Istanbul 34320, Turkey. Electronic address: selcan@iuc.edu.tr.
² Fatih Sultan Mehmet Vakif University, Research Center for the Conservation of Cultural Property of Foundation, 34083 Istanbul, Turkey.
³ Maltepe University, Department of Electrical and Electronics Eng., 34857 Istanbul, Turkey; Maltepe University, Dept. of Renewable Energy Tech. and Management, Istanbul, Turkey.
⁴ Maltepe University, Dept. of Renewable Energy Tech. and Management, Istanbul, Turkey; Maltepe University, Department of Basic Sciences, Istanbul, Turkey; Maltepe University Environment and Energy Technologies Research Center, Istanbul, Turkey; CONSENS Inc., Maltepe University Research Center, Technopark Istanbul, Istanbul, Turkey.

PMID: 36940511
DOI: 10.1016/j.foodchem.2023.135918

Abstract

Ascorbic acid (AA) is a highly water-soluble organic chemical compound and plays a significant role in human metabolism. For the purpose of food quality monitoring, this study focuses on the development of a smartphone-integrated colorimetric and non-enzymatic electrochemical Corylus Colurna (CC) extract-Cu₂O nanoparticles (Cu₂O NPs) biosensor to detect AA in real food samples. The characterization of the CC-Cu₂O NPs was determined using SEM, SEM/EDX, HRTEM, XRD, FTIR, XPS, TGA, and DSC. The CC-Cu₂O NPs are cubic in shape with an approximate size of 10 nm. According to electrochemical results, the oxidation of AA at the modified electrode exhibited a LOD of 27.92 nmolL^-1 in a wide concentration range of 0.55-22 mmolL^-1. The fabricated digital CC-Cu₂O NPs sensor successfully detected AA in food samples. This strategy provides a nanoplatform to determine the detection of AA in food samples.

Keywords: Ascorbic acid; Food quality; Smartphone sensor.

MeSH terms

Ascorbic Acid
Biosensing Techniques* / methods
Copper
Corylus*
Electrochemical Techniques / methods
Humans
Metal Nanoparticles* / chemistry
Nanoparticles / chemistry
Smartphone

Substances

Ascorbic Acid
cupric oxide
Copper