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InTech
Part of book or chapter of book . 2022
Data sources: InTech
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https://doi.org/10.5772/intech...
Part of book or chapter of book . 2022 . Peer-reviewed
License: CC BY
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Mycotoxin Decontamination of Foods Using Nonthermal Plasma and Plasma-Activated Water

Authors: Hsiu-Ling, Chen,; D., Arcega, Rachelle; Samuel, Herianto,; Chih-Yao, Hou,; Chia-Min, Lin,;

Mycotoxin Decontamination of Foods Using Nonthermal Plasma and Plasma-Activated Water

Abstract

Mycotoxins are food safety and public health concerns due to their widespread contamination in agricultural products and adverse health effects on humans. Several decontamination techniques, including physical-, chemical-, and thermal-based treatments, are employed to minimize the levels of mycotoxins in food. However, these treatments present disadvantages, such as negative impacts on the quality and leftover chemical residues on the treated food after physical- and chemical-based treatments. Furthermore, mycotoxins are resistant to heat, thus contributing to the insufficiency of thermal treatments for complete mycotoxin degradation. The use of alternative nonthermal-based treatments, such as nonthermal plasma (NTP) and plasma-activated water (PAW) for mycotoxin degradation in food, have been recently explored to overcome these limitations. NTP and PAW treatments are known to minimize the unfavorable changes in food quality while ensuring safety from food contaminants. The basics of NTP and PAW technologies, their mycotoxin decontamination efficiencies, their underlying mechanisms of action, effects on food quality, and the safety of mycotoxin degradation byproducts and treated food are hereby discussed in this chapter.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
hybrid