ArticleBiosensors2023
Multiplex Detection of Biogenic Amines for Meat Freshness Monitoring Using Nanoplasmonic Colorimetric Sensor Array.
Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 25 citations in OpenAlex.
- Multidimensional fluorescent array-sensing of biogenic amines based on porphyrin-functionalized carbon dots.Analytical and bioanalytical chemistry · 2026Article
- Leakage-Free Benchmarking of Electronic Noses for Beef Freshness: A Signal-Richness Criterion for Model Selection.Foods (Basel, Switzerland) · 2026Article
- Coordination-Driven Nanoarchitectures for Smart Packaging Strategies in Poultry Preservation.Research (Washington, D.C.) · 2026Review
- A Review of Advanced Sensor Technologies for Aquatic Products Freshness Assessment in Cold Chain Logistics.Biosensors · 2024Review
- Article
- Nanosensor-Enabled Detection and Identification of Intracellular Bacterial Infections in Macrophages.Biosensors · 2024Article
- Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry.ACS sensors · 2024Review
- Article
- Development of Optical Differential Sensing Based on Nanomaterials for Biological Analysis.Biosensors · 2024Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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