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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/13/8/803 |
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| author | Samira Abbasi-Moayed Afsaneh Orouji Mohammad Reza Hormozi-Nezhad |
| author_facet | Samira Abbasi-Moayed Afsaneh Orouji Mohammad Reza Hormozi-Nezhad |
| author_sort | Samira Abbasi-Moayed |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-11T00:05:42Z |
| format | Article |
| id | doaj.art-b941c9de04014702a279965fd8574845 |
| institution | Directory Open Access Journal |
| issn | 2079-6374 |
| language | English |
| last_indexed | 2024-03-11T00:05:42Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj.art-b941c9de04014702a279965fd85748452023-11-19T00:25:28ZengMDPI AGBiosensors2079-63742023-08-0113880310.3390/bios13080803Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor ArraySamira Abbasi-Moayed0Afsaneh Orouji1Mohammad Reza Hormozi-Nezhad2Department of Analytical Chemistry, Faculty of chemistry, Kharazmi University, Tehran 15719-14911, IranDepartment of Chemistry, Sharif University of Technology, Tehran 11155-9516, IranDepartment of Chemistry, Sharif University of Technology, Tehran 11155-9516, IranBiogenic 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.https://www.mdpi.com/2079-6374/13/8/803colorimetricsensor arraybiogenic aminesmeat freshnessnanoplasmonic |
| spellingShingle | Samira Abbasi-Moayed Afsaneh Orouji Mohammad Reza Hormozi-Nezhad Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array Biosensors colorimetric sensor array biogenic amines meat freshness nanoplasmonic |
| 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 | colorimetric sensor array biogenic amines meat freshness nanoplasmonic |
| url | https://www.mdpi.com/2079-6374/13/8/803 |
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