| Literature DB >> 31998379 |
Timothy Omara1,2,3, Winfred Nassazi1,3, Tom Omute4, Aburu Awath5,6, Fortunate Laker3,7, Raymond Kalukusu3,7, Bashir Musau3,7, Brenda Victoria Nakabuye7,8, Sarah Kagoya3,9, George Otim3, Eddie Adupa3,10.
Abstract
Uganda is an agrarian country where farming employs more than 60% of the population. Aflatoxins remain a scourge in the country, unprecedentedly reducing the nutritional and economic value of agricultural foods. This review was sought to synthetize the country's major findings in relation to the mycotoxins' etiology, epidemiology, detection, quantification, exposure assessment, control, and reduction in different matrices. Electronic results indicate that aflatoxins in Uganda are produced by Aspergillus flavus and A. parasiticus and have been reported in maize, sorghum, sesame, beans, sunflower, millet, peanuts, and cassava. The causes and proliferation of aflatoxigenic contamination of Ugandan foods have been largely due to poor pre-, peri-, and postharvest activities, poor government legislation, lack of awareness, and low levels of education among farmers, entrepreneurs, and consumers on this plague. Little diet diversity has exacerbated the risk of exposure to aflatoxins in Uganda because most of the staple foods are aflatoxin-prone. On the detection and control, these are still marginal, though some devoted scholars have devised and validated a sensitive portable device for on-site aflatoxin detection in maize and shown that starter cultures used for making some cereal-based beverages have the potential to bind aflatoxins. More efforts should be geared towards awareness creation and vaccination against hepatitis B and hepatitis A to reduce the risk of development of liver cancer among the populace.Entities:
Year: 2020 PMID: 31998379 PMCID: PMC6970494 DOI: 10.1155/2020/4723612
Source DB: PubMed Journal: Int J Microbiol
Types and chemical structure of common aflatoxins.
| Difuranocoumarins | Aflatoxin | Chemical structure and molecular formula | Molecular weight (kg/mol) | Metabolites |
|---|---|---|---|---|
| Difurocoumarocyclopentenone series | AFB1 |
| 312.274 | |
| AFB2 |
| 314.2895 | ||
| AFB2A |
| 330.2889 | ||
| AFM1 |
| 328.273 | Metabolite of AFB1 in humans and animals comes from the mother's milk. It is believed to be associated with the casein fraction of milk | |
| AFM2 |
| 330.2889 | Metabolite of aflatoxin B2 in milk of cattle fed on AF-contaminated foods | |
| AFM2A |
| 346.069 | Metabolite of AFM2 | |
| Aflatoxicol (AFL) |
| 314.289 | Metabolite of AFB1 | |
| Aflatoxicol M1 |
| 330.2889 | Metabolite of AFM1 | |
| Difurocoumarolactone series | AFG1 |
| 328.273 | |
| AFG2 |
| 330.289 | ||
| AFG2A |
| 346.2883 | Metabolite of AFG2 | |
| AFGM1 |
| 344.272 | ||
| AFGM2 |
| 330.2889 | Metabolite of AFG2 | |
| AFB3 (parasiticol) |
| 302.279 | ||
| Aflatrem |
| 501.656 | ||
| Aspertoxin |
| 354.310 | ||
| AFQ1 |
| 328.273 | Major metabolite of AFB1 in |
Source: modified after [9, 10].
Median lethal dose for AFB1 administered as a single dose to different animals.
| Animal | Sex | Age/size | LD50 (mg/kg body weight) |
|---|---|---|---|
| Golden hamster | Male | 30 days | 10.2 |
| Rat | Male/female | 1 day | 1.0 |
| Rat | Male | 21 days | 5.5 |
| Rat | Female | 21 days | 7.4 |
| Rat | Male | 0.001 kg | 17.5 |
| Dog | Male/female | Adult | 0.5 |
| Pig | Unspecified | 6-7 kg | 0.6 |
| Chicken embryo | Unknown | Not applicable | 0.025 |
| Duckling | Male | 1 day | 0.37 |
Source: Agag [38], Ciegler [10], and Robens and Richard [39]. 1 mg/kg = 1000 μg/kg.
Aflatoxin content of peanuts from farmers in some selected peanut growing districts of Uganda.
| Village (district) | Samples analyzed | Aflatoxin status | Aflatoxin concentration ( | |
|---|---|---|---|---|
| Positive (%) | Negative (%) | |||
| Kabulamuliro (Mubende) |
| 80 | 20 | 12.4 ± 5.31 |
| Kiboyo (Iganga) |
| 75 | 15 | 10.5 ± 6.15 |
| Bugodi (Mayuge) |
| 60 | 40 | 7.3 ± 4.98 |
| Gayaza (Mubende) |
| 67 | 33 | 9.8 ± 4.32 |
Adapted from Kaaya et al. [79].
Total AF content of some selected foods in some Ankole districts of Southwestern Uganda.
| Matrix/food sample | Samples analyzed | % AF-positive samples | Average total AF ( | |
|---|---|---|---|---|
| <4.0 | >4.0 | |||
| Peanut flour |
| 0 | 100 | 11.5 ± 0.43 |
| Sorghum (flour and porridge) |
| 42. 9 and 13.3 | 57.1 and 86.7 | 15.2 ± 0.20 |
| Millet (flour and porridge) |
| 25 and 0 | 75 and 100 | 14.0 ± 1.22 |
| Cassava flour |
| 38.9 | 61.1 | 16.0 ± 1.66 |
|
|
| 7.1 | 92.9 | 18.6 ± 2.40 |
Excerpted from Kitya et al. [57].
Per capita food and aflatoxin contamination patterns in the East African region.
| Food | Country | Per capita food consumption (g/person/day) | Mean AF content ( |
|---|---|---|---|
| Maize | Uganda | 400 | 9.7 |
| Tanzania | 69 | 49.7 | |
| Kenya | 405 | 131.7 | |
| Groundnuts (peanuts) | Uganda | 25.1 | |
| Tanzania | 15.0 | ||
| Burundi | 65 | 12.5 | |
| Cassava chips | Uganda | 0.5 | |
| Tanzania | 214 | 0.9 | |
| Sorghum | Tanzania | 40 | 3.0 |
| Milk | Kenya | 750 ml | 0.8 |
| Tanzania | 750 ml | 0.9 |
Adapted from the report by the East African Community's aflatoxin working group in April 2013 (Dar es Salaam-Tanzania, EAC/TF/405/2013) cited in a penultimate study [82].
Aflatoxin content of some staple foods in Uganda.
| Sample/matrix | Number of samples | Total aflatoxin ( | ||||
|---|---|---|---|---|---|---|
| Analyzed | AF positive | % AF positive | 1–100 | 100–1000 | >1000 | |
| Beans | 64 | 46 | 71.9 | 30 | 11 | 5 |
| Maize | 49 | 22 | 44.9 | 13 | 9 | 0 |
| Sorghum | 69 | 26 | 37.7 | 19 | 5 | 5 |
| Peanuts | 152 | 27 | 17.8 | 11 | 8 | 8 |
| Millet | 55 | 9 | 16.4 | 9 | 0 | 0 |
| Peas | 19 | 3 | 15.8 | 3 | 0 | 0 |
| Cassava | 34 | 4 | 11.8 | 0 | 2 | 2 |
| Rice | 11 | 0 | N/A | 0 | 0 | 0 |
| Other grains | 11 | 2 | 18.2 | 0 | 1 | 1 |
| Grain mixtures | 16 | 3 | 18.7 | 2 | 0 | 0 |
| Total | 480 | 142 | 87 | 37 | 18 | |
Adapted from [93]. N/A: not applicable.
Hepatoma incidence and frequency of aflatoxin contamination of some staple foods in Uganda.
| Regiona | Hepatoma cases/100,000 people per annum | Aflatoxigenic contamination | ||||
|---|---|---|---|---|---|---|
| Analyzed samples | % of AF-positive samples | Total aflatoxin ( | ||||
| 1–100 | 100–1000 | >1000 | ||||
| Toro | No data collected | 29 | 79.3 | 10 | 31 | 38 |
| Karamoja | 15.0 | 105 | 43.8 | 24 | 15 | 5 |
| Buganda | 2.0–3.0 | 149 | 28.9 | 23 | 4 | 1 |
| West Nile | 2.7 | 26 | 23.1 | 19 | 4 | 0 |
| Busoga | 2.4 | 39 | 10.3 | 05 | 5 | 0 |
| Acholi | 2.7 | 26 | 15.4 | 15 | 0 | 0 |
| Ankole | 1.4 | 37 | 10.8 | 11 | 0 | 0 |
| Rwanda immigrants | 3.0 | None collected | Not applicable | Not applicable | Not applicable | Not applicable |
Modified from [93]. Regions have different tribes with different traditional practices and ways of handling foods. aUganda is no longer divided into these regions, which have instead been made districts.
Some of the analytical methods employed by aflatoxigenic investigations in Uganda.
| Method | Sample (s) | Yeara | References |
|---|---|---|---|
| Lateral flow immunochromatography | Maize grain | 2019 | [ |
| HPLC | Maize-based product ( | 2019 | [ |
| ELISA | Sorghum, millet, | 2019 | [ |
| ELISA, HPLC | Maize flour | 2018 | [ |
| ELISA | Maize, sorghum, millet, sesame, peanuts | 2018 | [ |
| HPLC | Human sera | 2018 | [ |
| TLC, ELISA | Peanuts (seeds and paste) | 2017 | [ |
| LC/MS/MS | Peanuts (seeds and paste) | 2017 | [ |
| FS | Peanuts (seeds and paste), cassava flour, maize grains | 2016 | [ |
| ELISA | Human sera | 2015 | [ |
| ELISA | Human sera | 2014 | [ |
| ELISA | Cereal-based baby foods | 2011 | [ |
| FS | Cassava | 2010 | [ |
| FS | Sorghum, millet, | 2010 | [ |
| ELISA | Maize | 2006 | [ |
| FS | Peanuts | 2006 | [ |
aYears cited represent the years the data were published with most data collected in over 2 months to 1 year.