Fabrication of a colorimetric sensor using acetic acid-capped drug-mediated copper oxide nanoparticles for nitrite biosensing in processed food
Nitrite (NO 2 − ) and nitrate (NO 3 − ) 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 NO 2 − in cured meat products would be bad for health. Herein, copper oxide...
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Veröffentlicht in: | Frontiers in materials 2023-05, Vol.10 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Nitrite (NO
2
−
) and nitrate (NO
3
−
) 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 NO
2
−
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 NO
2
−
and has been observed with the naked eye. The selectivity of the NO
2
−
detection system by the UV–visible spectrum and the naked eye is compared to other ions, such as Br
−
, I
−
, Cl
−1
, PO
4
−3
, CO
3
2−
, and SO
4
2−
. The platform was successfully employed for the determination of nitrite in real samples. Moreover, this probe can be used for the sensitive detection of NO
2
−
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 (
R
2
) 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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ISSN: | 2296-8016 2296-8016 |
DOI: | 10.3389/fmats.2023.1169945 |