Biogenic amine production from processed animal and plant protein-based foods contaminated with Escherichia coli and Enterococcus feacalis

Akpomie, Olubunmi O.; Ejechi, Bernard O.; Banach, Artur; Adewuyi, Isaiah; Ayobola, Ehwarieme Daniel; Akpomie, Kovo G.; Ghosh, Soumya; Ahmadi, Shahin

doi:10.1007/s13197-022-05576-0

Cited by 1 publication

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We would like to highlight that the tested concentrations closely correspond to actual amine levels found in spoiled protein-based food, which can typically range from 10 1 −10 3 ppm, depending on the source of the protein. 39,40 Consequently, the capability to detect irreversible concentrations as low as 3 ppm (see Figure S4) low values holds promise for the development of smart labels aimed at identifying the onset of degradation phenomena before food spoilage occurs.…”

Section: ■ Resultsmentioning

confidence: 99%

“…In this context, we propose a hybrid polymer–inorganic DBR for the detection of biogenic amines in the vapor phase. Amines are indeed the typical degradation byproducts of protein-based food. , The working principle of the sensor is outlined in Figure . In detail, the sensor targets the destruction of the photonic structure upon amine exposure to provide an irreversible color response and, thus, anti-tampering properties.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Beyond Labeling: Hybrid Planar Photonic Crystals for Anti-tampering Detection of Amines

Escher,

Alloisio,

Cavallo

et al. 2024

ACS Appl. Opt. Mater.

View full text Add to dashboard Cite

Smart packaging promises to protect consumer health and safety, reduce food waste, and decrease energy and resource consumption. In other words, less food waste leads to better living conditions, decreasing plastic waste and greenhouse gas emissions. This work aims to create a colorimetric label for assessing food freshness by monitoring biogenic amines, which are the typical degradation byproducts of protein-based food such as meat, fish, and seafood. We focus on planar photonic crystals consisting of alternating thin films of a titanium dioxide-poly(acrylic acid) hybrid as a high-refractive-index medium and a blend of polystyrene and polylactic acid as a low-index and sensitive material. The colorimetric response of these sensors can be detected by visible reflectance spectroscopy and is visible to the naked eye, allowing a straightforward interpretation by any user. The response is tested for a prototype amine and for chicken meat, and it is caused by the loss of the structural color of the dielectric lattice resulting from the aminolysis of the polylactic acid that induces the collapsing of the rigid hybrid layers, thus providing effective nonreversible antitampering systems for smart labeling.

show abstract

Section: ■ Resultsmentioning

confidence: 99%

mentioning

confidence: 99%