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Review
.2022 Nov 22;12(23):4116.
doi: 10.3390/nano12234116.

Recent Progress in Nanotechnology-Based Approaches for Food Monitoring

Affiliations
Review

Recent Progress in Nanotechnology-Based Approaches for Food Monitoring

Nguyen Nhat Nam et al. Nanomaterials (Basel)..

Abstract

Throughout the food supply chain, including production, storage, and distribution, food can be contaminated by harmful chemicals and microorganisms, resulting in a severe threat to human health. In recent years, the rapid advancement and development of nanotechnology proposed revolutionary solutions to solve several problems in scientific and industrial areas, including food monitoring. Nanotechnology can be incorporated into chemical and biological sensors to improve analytical performance, such as response time, sensitivity, selectivity, reliability, and accuracy. Based on the characteristics of the contaminants and the detection methods, nanotechnology can be applied in different ways in order to improve conventional techniques. Nanomaterials such as nanoparticles, nanorods, nanosheets, nanocomposites, nanotubes, and nanowires provide various functions for the immobilization and labeling of contaminants in electrochemical and optical detection. This review summarizes the recent advances in nanotechnology for detecting chemical and biological contaminations in the food supply chain.

Keywords: food monitoring; foodborne; nanomaterials; nanotechnology.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 4
Figure 4
The application of SERS for food monitoring. (A) SERS-based aptasensor for β-lactoglobulin (β-Lg) determination using Au-Ag nanourchins as active substrates. Reprinted with permission [148], copyright 2022, Elsevier. (B) Controlling numbers of gold nanoparticles in the highly ordered AAO nanopore as SERS substrates with the limit of detection of 20 nM. Reprinted with permission [179], copyright 2019, American Chemical Society. (C) In situ detection of pesticide residue by flexible and transparent Au@Ag nanorid array. Reprinted with permission [177], copyright 2022, MDPI.
Figure 1
Figure 1
Application of nanotechnology for the monitoring of food contamination.
Figure 2
Figure 2
(A) Schematic illustration of the mechanism of GNP synthesis and stabilization by valine. Inset shows the effect of high alkalinity of valine capped GNPs. (B) Absorption spectra depicting the selectivity of valine-GNPs for Pb2+ ions. (C) Quantitative analysis of selectivity of valine-GNPs. (D) Graph showing the absorption ratio obtained by treating valine-GNP with a commixture of 100 ppm of Pb2+ ion and 100 ppm of respective metal ion. (E) TEM images of valine-GNPs (1,2) before treatment with Pb2+ ions (3,4) after treatment with Pd2+ ions. Reprinted with permission [116], copyright 2017, Nature Portfolio.
Figure 3
Figure 3
The colorimetric detection of kanamycin residue (Ky2) based on the aptamer-enhanced peroxidase-mimicking activity of the layered WS2 nanosheet. Reprinted with permission [118], copyright 2021, American Chemical Society.
Figure 5
Figure 5
Scheme (A) and experiment setup (B) of a dual immunological Raman-enabled crosschecking test for detection of contamination in LMF. Reprinted with permission [223], copyright 2020, MDPI.
Figure 6
Figure 6
(A) A schematic of SERS detection of MNPs. (B) Measure the Raman spectra of polystyrene in the sponge-supported Au NPs and polystyrene miss Au colloid. Reprinted with permission [245], copyright 2021, Elsevier. Measure the Raman spectra of polystyrene in SA (a), polystyrene mis Au colloid (b), SA black (c), polystyrene solid (d) and Au solid (e) respectively.
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