Cargando…

Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array

Biogenic amines (BAs) were presented as significant markers for the evaluation of the spoilage of meat and meat products. In this work, a colorimetric sensor array was developed for the discrimination and detection of spermine (SP), spermidine (SD), histamine (HS), and tryptamine (TP) as important B...

Descripción completa

Detalles Bibliográficos
Autores principales: Abbasi-Moayed, Samira, Orouji, Afsaneh, Hormozi-Nezhad, Mohammad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452313/
https://www.ncbi.nlm.nih.gov/pubmed/37622889
http://dx.doi.org/10.3390/bios13080803
_version_ 1785095637612625920
author Abbasi-Moayed, Samira
Orouji, Afsaneh
Hormozi-Nezhad, Mohammad Reza
author_facet Abbasi-Moayed, Samira
Orouji, Afsaneh
Hormozi-Nezhad, Mohammad Reza
author_sort Abbasi-Moayed, Samira
collection PubMed
description Biogenic amines (BAs) were presented as significant markers for the evaluation of the spoilage of meat and meat products. In this work, a colorimetric sensor array was developed for the discrimination and detection of spermine (SP), spermidine (SD), histamine (HS), and tryptamine (TP) as important BAs in food assessment. For this aim, two important spherical plasmonic nanoparticles, namely gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs), were utilized as the sensing elements of the probes. The cross-reactive interaction of the target biogenic amines and the plasmonic nanoparticles caused the aggregation-induced UV–Vis spectra changes, which were accompanied by visual color variation in the solution. The collected responses were analyzed by principal component analysis-linear discrimination analysis (PCA-LDA) to classify the four BAs. This colorimetric sensor array can also discriminate between the individual BAs and their mixture accurately. Partial least squares regression (PLS-R) was also utilized for quantitative analysis of the BAs. The wide linear concentration ranges of 0.1–10.0 µM for the four BAs and desirable figures of merits (FOMs) showed the potential of the developed sensor for quantitative detection of the BAs. Finally, the practical ability of the developed probe was studied by the determination of the BAs in the meat samples, which successfully proved the potential of the colorimetric sensor array in a food sample.
format Online
Article
Text
id pubmed-10452313
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104523132023-08-26 Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array Abbasi-Moayed, Samira Orouji, Afsaneh Hormozi-Nezhad, Mohammad Reza Biosensors (Basel) Article Biogenic amines (BAs) were presented as significant markers for the evaluation of the spoilage of meat and meat products. In this work, a colorimetric sensor array was developed for the discrimination and detection of spermine (SP), spermidine (SD), histamine (HS), and tryptamine (TP) as important BAs in food assessment. For this aim, two important spherical plasmonic nanoparticles, namely gold nanoparticles (AuNPs) and silver nanoparticles (AgNPs), were utilized as the sensing elements of the probes. The cross-reactive interaction of the target biogenic amines and the plasmonic nanoparticles caused the aggregation-induced UV–Vis spectra changes, which were accompanied by visual color variation in the solution. The collected responses were analyzed by principal component analysis-linear discrimination analysis (PCA-LDA) to classify the four BAs. This colorimetric sensor array can also discriminate between the individual BAs and their mixture accurately. Partial least squares regression (PLS-R) was also utilized for quantitative analysis of the BAs. The wide linear concentration ranges of 0.1–10.0 µM for the four BAs and desirable figures of merits (FOMs) showed the potential of the developed sensor for quantitative detection of the BAs. Finally, the practical ability of the developed probe was studied by the determination of the BAs in the meat samples, which successfully proved the potential of the colorimetric sensor array in a food sample. MDPI 2023-08-10 /pmc/articles/PMC10452313/ /pubmed/37622889 http://dx.doi.org/10.3390/bios13080803 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Abbasi-Moayed, Samira
Orouji, Afsaneh
Hormozi-Nezhad, Mohammad Reza
Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
title Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
title_full Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
title_fullStr Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
title_full_unstemmed Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
title_short Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array
title_sort multiplex detection of biogenic amines for meat freshness monitoring using nanoplasmonic colorimetric sensor array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452313/
https://www.ncbi.nlm.nih.gov/pubmed/37622889
http://dx.doi.org/10.3390/bios13080803
work_keys_str_mv AT abbasimoayedsamira multiplexdetectionofbiogenicaminesformeatfreshnessmonitoringusingnanoplasmoniccolorimetricsensorarray
AT oroujiafsaneh multiplexdetectionofbiogenicaminesformeatfreshnessmonitoringusingnanoplasmoniccolorimetricsensorarray
AT hormozinezhadmohammadreza multiplexdetectionofbiogenicaminesformeatfreshnessmonitoringusingnanoplasmoniccolorimetricsensorarray