Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Physical chemistry, Colloid chemistry, Biochemical research methods, Nano-materials, Toxicology
Abstract
Mycotoxins are secondary metabolic products of fungi. They are poisonous, carcinogenic, and mutagenic in nature and pose a serious health threat to both humans and animals, causing severe illnesses and even death. Rapid, simple and low-cost methods of detection of mycotoxins are of immense importance and in great demand in the food and beverage industry, as well as in agriculture and environmental monitoring, and, for this purpose, lateral flow immunochromatographic strips (ICSTs) have been widely used in food safety and environmental monitoring. The literature to date describing the development of ICSTs for the detection of different types of mycotoxins using different nanomaterials, nanoparticle size, and replicates was reviewed in an attempt to identify the most important determinants of the limit of detection (LOD). It is found that the particle size and type of materials contribute significantly to determining the LOD. The nanoparticle sizes used in most studies have been in the range 15–45 nm and gold nanoparticle-based ICSTs have been shown to exhibit the lowest LOD. Perspectives for potential future development to reduce the LODs of ICSTs are also discussed.
DOI
https://doi.org/10.3390/applnano3020006
Recommended Citation
Zhao X, Byrne HJ, O’Connor CM, Curtin J, Tian F. Limits of Detection of Mycotoxins by Laminar Flow Strips: A Review. Applied Nano. 2022; 3(2):91-101. DOI: 10.3390/applnano3020006
Funder
This research was funded by the Researcher Award from TU Dublin postgraduate school.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Included in
Biology and Biomimetic Materials Commons, Environmental Chemistry Commons, Materials Chemistry Commons, Optics Commons, Process Control and Systems Commons
Publication Details
Appl. Nano 2022, 3(2), 91-101; https://doi.org/10.3390/applnano3020006