| Literature DB >> 34822570 |
Mohamed F Abdallah1, Wannes H R Van Hassel2, Mirjana Andjelkovic3, Annick Wilmotte4, Andreja Rajkovic1.
Abstract
Cyanotoxins have gained global public interest due to their potential to bioaccumulate in food, which threatens human health. Bloom formation is usually enhanced under Mediterranean, subtropical and tropical climates which are the dominant climate types in developing countries. In this context, we present an up-to-date overview of cyanotoxins (types, toxic effects, analysis, occurrence, and mitigation) with a special focus on their contamination in (sea)food from all the developing countries in Africa, Asia, and Latin America as this has received less attention. A total of 65 publications have been found (from 2000 until October 2021) reporting the contamination by one or more cyanotoxins in seafood and edible plants (five papers). Only Brazil and China conducted more research on cyanotoxin contamination in food in comparison to other countries. The majority of research focused on the detection of microcystins using different analytical methods. The detected levels mostly surpassed the provisional tolerable daily intake limit set by the World Health Organization, indicating a real risk to the exposed population. Assessment of cyanotoxin contamination in foods from developing countries still requires further investigations by conducting more survey studies, especially the simultaneous detection of multiple categories of cyanotoxins in food.Entities:
Keywords: Africa; Asia; Latin America; cyanotoxins; cylindrospermopsin; developing countries; food safety; microcystins; nodularins; seafood
Mesh:
Substances:
Year: 2021 PMID: 34822570 PMCID: PMC8619289 DOI: 10.3390/toxins13110786
Source DB: PubMed Journal: Toxins (Basel) ISSN: 2072-6651 Impact factor: 4.546
Figure 1Chemical structure of microcystin-LR and nodularin.
Figure 2Possible toxic effects of cyanotoxins and clinical symptoms in humans.
Figure 3Chemical structure of guanitoxin, anatoxin-a, saxitoxins and cylindrospermopsin.
Advantages and limitations for biological and chemical methods used/developed for the detection of cyanotoxins.
| Evaluation Parameters | Biological Methods | Chemical Methods | |||||
|---|---|---|---|---|---|---|---|
| Mouse Bioassay | ELISA Assay | PPI Assay | LC-UV, | LC-MS/MS | LC-HRMS | Sensors | |
| Sensitive | low | ✓ | ✓ | ✓ | ✓✓ | ✓✓✓ | ✓✓ |
| Expensive | cheap | ✓ | ✓ | ✓ | ✓✓ | ✓✓✓ | cheap |
| Distinguished variants | ✓ | ✓✓ | ✓✓✓ | ||||
| Multiple classes | ✓ | ✓✓ | ✓✓ | ✓ | |||
| Quantitation | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
| Retrospective analysis | ✓ | ||||||
| In situ analysis | ✓ | ||||||
| Trendy | ✓ | ✓ | ✓ | ||||
| Other | Ethical approval | Matrix interference | Not for all cyanotoxins | Derivatization for LC-FLD analysis | Highly trained analysts | Highly trained analysts | |
ELISA, enzyme-linked immunosorbent assay; PPI, protein phosphatase inhibition assays; LC-UV, liquid chromatography with ultraviolet detector; LC-PDA, liquid chromatography with photodiode array detector; LC-FLD, liquid chromatography with fluorescence detectors; LC-MS/MS, liquid chromatography tandem mass spectrometry; LC-HRMS, liquid chromatography high-resolution mass spectrometry.
Figure 4Geographical heatmap showing the conducted research (from 2000 until October 2021) on cyanotoxins in food (seafood and edible plants) from the developing countries in Africa, Asia, and Latin America. Countries with white color are lacking data. Developing countries are defined according to their Gross National Income (GNI) per capita per year, as calculated by the World Bank Atlas method, 31 October 2020.
Occurrence of cyanotoxins in seafood from the developing countries in Africa.
| Country | Location/Year | Detected Toxins and | Matrix | N | P | Method of Detection | References |
|---|---|---|---|---|---|---|---|
| Algeria | Lake Oubeir/2010–2011 | MCs | 36 | 36 | PP2A inhibition assay | [ | |
| Egypt | Sohag city/2000 | MCs | NM | NM | ELISA | [ | |
| Sohag city/2012–2013 | CYN | 99 | 63 | ELISA | [ | ||
| Sohag city/2012–2013 | Free MCs | 198 | NM | ELISA & | [ | ||
| Ethiopia | Lake Hora-Arsedi/2015 | MCs <LOD | 8 | Not detected | LC-HRMS | [ | |
| Addis Ababa/2015–2016 | MCs <LOD | 36 | Not detected | LC-HRMS | [ | ||
| Kenya | Nyanza Gulf, Lake Victoria/2011-2012 | MC-YR | 16 | 4 | LC-MS/MS | [ | |
| South Africa | Mpumalanga province/2012 | MC-LR | 26 | 21 | ELISA | [ | |
| Uganda | Lake Mburo and Murchison Bay, Lake Victoria/2004–2005 | MCs | 72 | 51 | LC-MS/MS | [ | |
| Lakes (Victoria, Albert, Edward, George, Mburo, Nkuruba, Saka)./2007–2009 | MCs | 19 species of fish (muscles) | 399 | NM | ELISA | [ | |
| Lake Mburo & Murchison Bay, Lake Victoria/2004–2005 | MCs | 24 | 17 | LC-MS/MS | [ |
DW, dry weight; WW, wet or fresh weight; N, number of samples; P, positive samples; LOD, limit of detection; NM, not mentioned; MCs, microcystins; MC-LR, microcystin-LR; MC-YR, microcystin-YR; CYN, cylindrospermopsin; PP2A, protein phosphatase type 2A inhibition assay; ELISA, enzyme-linked immunosorbent assay, LC-PDA, liquid chromatography with photodiode array detector; LC-MS/MS, liquid chromatography tandem mass spectrometry; LC-HRMS, liquid chromatography high-resolution mass spectrometry.
Occurrence of cyanotoxins in seafood from the developing countries in Asia.
| Country | Location/ | Detected Toxins and Concentration Ranges | Matrix | N | P | Method of Detection | References |
|---|---|---|---|---|---|---|---|
| China | Tianjin/2017 | MC-RR | 21 | NM | LC-PDA | [ | |
| Lake Taihu/2005 | MC-RR | 9 | NM | LC-MS/MS | [ | ||
| Lake Taihu/2004–2005 | MCs | 48 | NM | LC-MS/MS | [ | ||
| Lake Taihu/2003–2004 | MCs | 28 | 15 | LC-UV | [ | ||
| Lake Chaohu, Anhui Province/2003 | MC-LR and -RR | 11 | 5 | LC-UV | [ | ||
| Lake Taihu/2004–2005 | MCs | 12 | 11 | LC-MS/MS | [ | ||
| Lake Chaohu, Anhui Province/2003 | MC-LR and -RR | 7 | 4 | LC-UV | [ | ||
| China’s Tiesha River, Hangzhou/NM | MCs | 3 | 3 | LC-MS/MS | [ | ||
| Lake Taihu/2011 | MCs | 46 | NM | LC-MS/MS | [ | ||
| Lake Chaohu, Anhui Province/2012 | MCs | NM | NM | ELISA | [ | ||
| Lake Chaohu, Anhui Province/2014 | MCs | 60 | NM | ELISA | [ | ||
| WJD | MC-LR | 205 | 106 (MC-LR), 110 (MCs-RR) | LC-PDA | [ | ||
| Fish pond, Hangzhou/2009 | MC-LR | 1 | 1 | LC-MS/MS | [ | ||
| Lake Taihu and Lake Chaohu/2009–2010 | MCs | Nine fish species (muscles) | NM | NM | ELISA | [ | |
| Eight different lakes in four provinces (Hubei, | MCs | 24 | 24 | LC-MS/MS | [ | ||
| Lake Dianchi/2008 | MCs | 6 | 6 | ELISA | [ | ||
| Lake Chaohu, Anhui Prov-ince/2003 | MC-LR | 8 | 4 | LC-UV | [ | ||
| Lake Taihu/2005 | MCs | NM | NM | LC-MS/MS | [ | ||
| India | Lakshmikund pond, Varanasi/2011-2012 | MC-LR | 3 | 3 | LC-MS/MS | [ | |
| Iran | Anzali wetland, Guilan Province/2014 | MC-LR | 18 | NM | LC-UV | [ | |
| Thailand | Fish ponds, Bang Bo District, Samut Prakan Province/NM | MC-LR < LOD | 720 | - | LC-MS/MS | [ | |
| Phayao Lake, Phayao | MC-LR | 24 | 7 | LC-UV | [ | ||
| Experimental fish pound, Chiang Mai/NM | MC-LR | 120 | NM | ELISA | [ | ||
| Experimental fish pound, Chiang Mai/2006-2007 | MC-LR | 30 | NM | ELISA | [ | ||
| Turkey | Lake Eğirdir, Turkey/2013 | MCs | 110 | 51 | ELISA | [ | |
| Vietnam | Mekong basin, South Vietnam/ 2015–2016 | MC-dmLR | 68 | 3 | LC-MS/MS | [ | |
| Phuoc Ninh/2011 | MCs | 200 | 200 | LC-PDA | [ |
DW, dry weight; WW, wet or fresh weight; N, number of samples; P, positive samples; LOD, limit of detection; NM, not mentioned; MCs, microcystins; MC-LR, microcystin-LR; MC-RR, microcystin-RR; MC-YR, microcystin-YR; MC-dmLR, microcystin-dmLR; ELISA, enzyme-linked immunosorbent assay; LC-UV, liquid chromatography with ultraviolet detector; LC-PDA, liquid chromatography with photo-diode array detector; LC-MS/MS, liquid chromatography tandem mass spectrometry.
Occurrence of cyanotoxins in (sea)food from the developing countries in Latin America.
| Country | Location/ | Detected Toxins and Concentration Ranges | Matrix | N | P | Method of Detection | References |
|---|---|---|---|---|---|---|---|
| Argentina | Los Padres Lake/2007 | MCs | 20 | NM | LC-MS/MS | [ | |
| San Roque reservoir/2004 | MC-RR | 30 | NM | LC-UV | [ | ||
| San Roque Reservoir/2011 | NODs | 80 | NM | LC-MS/MS | [ | ||
| Brazil | Rio de Janeiro/2003 | MCs | 27 | 27 | ELISA | [ | |
| Jacarepaguá lagoon/2012 | MCs | 17 | 10 | ELISA | [ | ||
| Alagados Reservoir/2007–2008 | GTXs | 64 | 64 | LC-FLD | [ | ||
| Paranoa Lake/2006–2007 | MC-LR | 78 | NM | LC-PDA | [ | ||
| Sepetiba Bay, Rio de Janeiro/1999 | MCs | Fish muscles; shrimp; crab | 33 | 16 | ELISA | [ | |
| Rio de Janeiro/1996–1999 | MCs | 144 | 108 | ELISA | [ | ||
| Garça city/2005 | STXs | 24 | NM | LC-FLD | [ | ||
| Iraí Reservoir, Paraná State/2015 | MCs | 50 | NM | LC-MS/MS | [ | ||
| Guatemala | Lake | MC-RR | 12 | 12 | LC/MS/MS | [ | |
| Mexico | Lago Catemaco, Veracruz/NM | CYN | NM | NM | ELISA | [ | |
| Lake Catemaco, Veracruz/2009 | CYN | 14 | 14 | ELISA | [ | ||
| Michoacan/2008–2009 | MCs | NM | NM | ELISA | [ | ||
| Lake Zumpango, Mexico City/2016–2017 | MCs | 30 | 30 | ELISA | [ |
DW, dry weight; WW, wet or fresh weight; N, number of samples; P, positive samples; LOD, limit of detection; NM, not mentioned; MCs, microcystins; MC-RR, microcystin-RR; MC-LR, microcystin-LR; NODs, nodularins; CYN, cylindrospermopsin; STXs; saxitoxins; GTXs, guanitoxin; ELISA, enzyme-linked immunosorbent assay; LC-UV, liquid chromatography with ultraviolet detector; LC-PDA, LC-FLD, liquid chromatography with fluorescence detectors; liquid chromatography with photo-diode array detector; LC-MS/MS, liquid chromatography tandem mass spectrometry.