Detection of diarrheal shellfish toxins
Abstract: Seafood poisoning outbreaks are often caused by biotoxins generated by harmful algal blooms. Shellfish toxins, mainly derived from phytoplankton, cause diarrhea and poisoning in humans who consume contaminated seafood. Many studies suggest that diarrheal shellfish toxins cause functional changes in various cells. In order to protect shellfish products, it is becoming increasingly important to remove these contaminants from the ocean. Public attention plays a crucial role in reducing the risk of acute intoxication caused by contaminated seafood. Monitoring algal toxins is the best way to ensure that seafood is safe and clean. In order to attain these objectives, a variety of technologies were developed and constructed for the purpose of detecting and decontaminating algal toxins in aquatic environments. A review of the current literature regarding the detection and detoxification of diarrheal shellfish toxins is presented in this article.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Detection of diarrheal shellfish toxins ; volume:41 ; number:1 ; year:2022 ; pages:314-323 ; extent:10
Reviews in analytical chemistry ; 41, Heft 1 (2022), 314-323 (gesamt 10)
- Urheber
-
Xu, Rui
Zhao, Xiyan
Zhao, Guangxi
Yang, Yang
- DOI
-
10.1515/revac-2022-0053
- URN
-
urn:nbn:de:101:1-2023011313292351657065
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Xu, Rui
- Zhao, Xiyan
- Zhao, Guangxi
- Yang, Yang
Ähnliche Objekte (12)
Passivity analysis and state estimation for a class of memristor-based neural networks with multiple proportional delays
Global dynamics of an age-structured in-host viral infection model with humoral immunity
Passivity analysis of memristive neural networks with mixed time-varying delays and different state-dependent memductance functions
TikTok/Douyin Use and Its Influencer Video Use: A Cross-Cultural Comparison Between Chinese and US Users
Dual-frequency radar observations of snowmelt processes on Antarctic perennial sea ice by CFOSCAT and ASCAT
Multi-omic analyses of m5C readers reveal their characteristics and immunotherapeutic proficiency
The stability analysis of an epidemic model with saturating incidence and age-structure in the exposed and infectious classes
Synthesis of rhodium catalysts with amino acid or triazine as a ligand, as well as its polymerization property of phenylacetylene
Synchronization analysis for stochastic reaction-diffusion Cohen-Grossberg neural networks with Neumann boundary conditions via periodically intermittent control
Global dynamics of a tuberculosis transmission model with age of infection and incomplete treatment
How Africans pursue low-end globalization in Hong Kong and Mainland China
Does high-quality auditing decrease the use of collateral? Analysis from the perspective of lenders' self-protection
Passivity analysis and state estimation for a class of memristor-based neural networks with multiple proportional delays
Global dynamics of an age-structured in-host viral infection model with humoral immunity
Passivity analysis of memristive neural networks with mixed time-varying delays and different state-dependent memductance functions
TikTok/Douyin Use and Its Influencer Video Use: A Cross-Cultural Comparison Between Chinese and US Users
Dual-frequency radar observations of snowmelt processes on Antarctic perennial sea ice by CFOSCAT and ASCAT
Multi-omic analyses of m5C readers reveal their characteristics and immunotherapeutic proficiency
The stability analysis of an epidemic model with saturating incidence and age-structure in the exposed and infectious classes
Synthesis of rhodium catalysts with amino acid or triazine as a ligand, as well as its polymerization property of phenylacetylene
Synchronization analysis for stochastic reaction-diffusion Cohen-Grossberg neural networks with Neumann boundary conditions via periodically intermittent control
Global dynamics of a tuberculosis transmission model with age of infection and incomplete treatment
How Africans pursue low-end globalization in Hong Kong and Mainland China
Does high-quality auditing decrease the use of collateral? Analysis from the perspective of lenders' self-protection
Passivity analysis and state estimation for a class of memristor-based neural networks with multiple proportional delays
Global dynamics of an age-structured in-host viral infection model with humoral immunity
Passivity analysis of memristive neural networks with mixed time-varying delays and different state-dependent memductance functions
TikTok/Douyin Use and Its Influencer Video Use: A Cross-Cultural Comparison Between Chinese and US Users
Dual-frequency radar observations of snowmelt processes on Antarctic perennial sea ice by CFOSCAT and ASCAT
Multi-omic analyses of m5C readers reveal their characteristics and immunotherapeutic proficiency
The stability analysis of an epidemic model with saturating incidence and age-structure in the exposed and infectious classes
Synthesis of rhodium catalysts with amino acid or triazine as a ligand, as well as its polymerization property of phenylacetylene
Synchronization analysis for stochastic reaction-diffusion Cohen-Grossberg neural networks with Neumann boundary conditions via periodically intermittent control
Global dynamics of a tuberculosis transmission model with age of infection and incomplete treatment
How Africans pursue low-end globalization in Hong Kong and Mainland China