Introduction of a new nitrite-selective optical sensor for food analysis using a copper(II) Schiff base complex

Habibzadeh, Sepideh; Tavallail, Hossein; Esmaielzadeh, Sheida; Gharghani, Zahra

doi:10.33945/sami/ecc.2020.2.10

Cited by 1 publication

(1 citation statement)

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“…Nevertheless, these methods were confined to a narrow nitrite linear detection range at low levels. The incorporation of a copper(II) [Cu(II)] Schiff base complex into a transparent triacetylcellulose membrane produced from waste photographic film as an ionophore for a nitrite-selective optical sensor by absorption spectrophotometry [ 54 ], however, involved the use of toxic sodium hypochlorite, which is extremely reactive towards organic matter and is not friendly to the environment during the preparation of the nitrite sensor membrane.…”

Section: Resultsmentioning

confidence: 99%

Bio-Doped Microbial Nanosilica as Optosensing Biomaterial for Visual Quantitation of Nitrite in Cured Meats

Zuki

Kassim

et al. 2022

Biosensors

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A microbial optosensor for nitrite was constructed based on biomimetic silica nanoparticles, which were doped with R5, a polypeptide component of silaffin, as a robust biosilica immobilization matrix entrapped with Raoultella planticola and NAD(P)H cofactor during the in vitro biosilicification process of silica nanoparticles. Ruthenium(II)(bipy)2(phenanthroline-benzoylthiourea), the chromophoric pH probe, was physically adsorbed on the resulting biogenic nanosilica. Optical quantitation of the nitrite concentration was performed via reflectance transduction of the bio-doped microbial nanosilica at a maximum reflectance of 608 nm, due to the deprotonation of phen-BT ligands in the ruthenium complex, while the intracellular enzyme expression system catalyzed the enzymatic reduction of nitrite. Reflectance enhancement of the microbial optosensor was linearly proportional to the nitrite concentration from 1–100 mg L−1, with a 0.25 mg L−1 limit of detection and a rapid response time of 4 min. The proposed microbial optosensor showed good stability of >2 weeks, great repeatability for 5 repetitive assays (relative standard deviation, (RSD) = 0.2–1.4%), high reproducibility (RSD = 2.5%), and a negligible response to common interferents found in processed meats, such as NO3−, NH4+, K+, Ca2+, and Mg2+ ions, was observed. The microbial biosensor demonstrated an excellent capacity to provide an accurate estimation of nitrite in several cured meat samples via validation using a standard UV-vis spectrophotometric Griess assay.

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Section: Resultsmentioning

confidence: 99%