journal article·2021-05-05

Providing Multicolor Plasmonic Patterns with Au@Ag Core–Shell Nanostructures for Visual Discrimination of Biogenic Amines

Afsaneh Orouji, Forough Ghasemi, Arafeh Bigdeli, Mohammad Reza Hormozi-Nezhad

ACS Applied Materials & Interfaces· Volume 13· Issue 17
Publisher page

Abstract

Biogenic amines (BAs) are known as substantial indicators of the quality and safety of food. Developing rapid and visual detection methods capable of simultaneously monitoring BAs is highly desired due to their harmful effects on human health. In the present study, we have designed a multicolor sensor array consisting of two types of gold nanostructures (i.e., gold nanorods (AuNRs) and gold nanospheres (AuNSs)) for the discrimination and determination of critical BAs (i.e., spermine (SM), tryptamine (TT), ethylenediamine (EA), tyramine (TR), spermidine (SD), and histamine (HT)). The design principle of the probe was based on the metallization of silver ions on the surface of AuNRs and AuNSs in the presence of BAs, forming Au@Ag core–shell nanoparticles. Changes in the surface composition, size, and aspect ratio of AuNSs and AuNRs induced a blue shift in the plasmonic band, which was accompanied by sharp and rainbowlike color variations in the solution. The collected data were visually assessed and statistically analyzed by various data visualization and pattern recognition methods. Namely, linear discriminant analysis (LDA) and partial least squares (PLS) regression were employed for the qualitative and quantitative determination of BAs. The responses were linearly correlated to the concentrations of BAs in a wide range of 10–800, 20–800, 40–800, 40–800, 60–800, and 80–800 μmol L–1 with the limit of detections of 2.46, 4.79, 8.58, 14.26, 10.03, and 27.29 μmol L–1 for SD, SM, TT, HT, EA, and TR, respectively. Finally, the practical applicability of the sensor array was investigated by the determination of BAs in meat and fish samples by which the potential of the probe for on-site determination of food freshness/spoilage was successfully verified.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Chemical Sensor Technologies · Biosensors and Analytical Detection · Polyamine Metabolism and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry, Sharif University of Technology, Tehran 111559516, Iran

Department of Nanotechnology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education, and Extension Organization (AREEO), Karaj 3135933151, Iran

Funding

Agricultural Biotechnology Research Institute of Iran · Sharif University of Technology

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