Frontiers in Materials (May 2023)

Fabrication of a colorimetric sensor using acetic acid-capped drug-mediated copper oxide nanoparticles for nitrite biosensing in processed food

  • Umar Nishan,
  • Sajida Rehman,
  • Riaz Ullah,
  • Ahmed Bari,
  • Saifullah Afridi,
  • Mohibullah Shah,
  • Jibran Iqbal,
  • Muhammad Asad,
  • Amir Badshah,
  • Naeem Khan,
  • In Min Hwang,
  • Hameed Ullah Khan,
  • Nawshad Muhammad

DOI
https://doi.org/10.3389/fmats.2023.1169945
Journal volume & issue
Vol. 10

Abstract

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Nitrite (NO2−) and nitrate (NO3−) are frequently used in cured meat products as preservatives, as they give a better taste and work well in color fixation. As a key possible carcinogen, excessive dietary consumption of NO2− in cured meat products would be bad for health. Herein, copper oxide nanoparticles (CuO NPs) were synthesized using the drug Augmentin as a reducing and capping agent. The desired synthesis of CuO NPs was confirmed by various characterization techniques, including UV–visible spectroscopy, Fourier transform infrared spectroscopy, energy-dispersive X-ray spectroscopy, thermal gravimetric analysis, X-ray diffraction, and scanning electron microscopy. The new approach of drug-mediated acetic acid-capped CuO NPs was developed for simple colorimetric detection of nitrite ions in a mimic solution of processed food. The color of the detection system changes from brown to yellow with the increase in the concentration of NO2− and has been observed with the naked eye. The selectivity of the NO2− detection system by the UV–visible spectrum and the naked eye is compared to other ions, such as Br−, I−, Cl−1, PO4−3, CO32−, and SO42−. The platform was successfully employed for the determination of nitrite in real samples. Moreover, this probe can be used for the sensitive detection of NO2− with a linear range of 1 × 10−8 to 2.40 × 10−6 M, a detection limit of 2.69 × 10−7 M, a limit of quantification 8.9 × 10−7 M, and a regression coefficient (R2) of 0.997. Our results suggest that this sensor can be used for on-site analysis and quantification as well as in the fields of disease diagnosis, environmental monitoring, and food safety.

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