Mycotoxin contamination is a global phenomenon and causes a wide array of negative effects and other complications. This study focused on commonly found mycotoxins in Africa and the possible means of prevention or reduction of their contaminating effects. Mycotoxins are secondary metabolites of mold and fungi; they are generally toxic to living organisms. Hundreds of mycotoxins have been identified thus far, with some, such as aflatoxins, ochratoxins, trichothecenes, zearalenone, fumonisins, and patulin, considered agro-economically important. Several factors contribute to the presence of mycotoxins in food, such as climatic conditions, pest infestation, and poor harvest and storage practices. Exposure to mycotoxins, which occurs mostly by ingestion, leads to various diseases, such as mycotoxicoses and mycoses that may eventually result in death. In light of this, this review of relevant literature focuses on mycotoxin contamination, as well as various methods for the prevention and control of their prevalence, to avert its debilitating consequences on human health. Clear evidence of mycotoxin contamination is present in Africa, and it was therefore recommended that adequate prevention and control of these toxic substances in our food system should be encouraged and that appropriate measures must be taken to ensure food safety as well as the enhanced or long-lifespan of the African populace. Governments, research institutions, and non-governmental organizations should tailor the limited resources available to tackle mycotoxin prevalence, as these will offer the best prospects for successful development of a sustainable food system in Africa.

The government’s lockdown and restriction measures on the COVID-19 pandemic adversely altered livelihoods, commodity/food prices as well as food security status in Nigeria, especially for rural farming households. A multistage sampling technique was used to collect data from 480 rural farming households across three selected states of the SouthWest geopolitical zone of Nigeria. This research entailed rapid evaluation of the determining factors of rising food expenditure, implications for food security as well as households’ coping strategies during the COVID-19 pandemic. A structured questionnaire was used to obtain data that were analyzed using the following descriptive and inferential statistics: double-logarithmic analysis, Foster–Greer–Thorbecke (FGT) and probit regression analysis. The results showed that 60% of respondents were married, mean years spent in school was 17, mean age was 49 years, household size was 7 people and monthly income less than $200. The FGT model results for head count ratio showed that 78% of households were food insecure. The depth of food insecurity and severity before COVID-19 were 18.4% and 9.9% respectively, and 27.1% and 13.0% during the pandemic. The double-logarithmic regression revealed that household income, size, age and occupation significantly influenced the household’s food expenditure. Probit regression showed that households’ income, size, amount spent on food, and the household’s head, gender and educational level influenced its food security status. The research concluded that food security was indeed influenced by the COVID-19 pandemic among rural farming households in Nigeria. Intervention policies are needed to promote and enable sustainable livelihoods to eradicate hunger and food insecurity due to high food prices and high household sizes in relation to their low average income to enable rural farming households to economically recover and have the capacity to sustain themselves against future shocks.

The presence of mycotoxins in staple food can have adverse effect that result in ill health and associated socio-economic losses. Mycotoxins are naturally occurring toxins produced by certain fungi and can be found in staple food plants such as ginger. Ginger is a renowned medicinal plant that is extensively used for cooking and healing. However, this medicinal plant is with little information about its possible mycotoxins contamination. This study determined the occurrence and prevalence of Aflatoxin B 1 , B 2 , G 1 and G 2 and Ochratoxin A contamination in raw ginger sold around Mahikeng, North West Province, South Africa. Samples were collected purposively from various retailers over winter and summer. The analytical procedure optimized was based on immunoaffinity column cleanup (IAC), followed by High performance liquid chromatography with fluorescence (HPLC-FLC) detection. ELISA was also used for mycotoxin screening. On HPLC, the limits of detection and quantification for the four Aflatoxins were 3.9 × 10 −7 -1.4 × 10 -3 and 1.3 × 10 -6 - 4.7 × 10 -3 for samples collected in winter, and 3.7 × 10 −7 - 1.4 × 10 -3 , LOQ 1.2 × 10 -6 – 4.6 × 10 -3 for the summer samples. The average recoveries at three spiking levels ranged from 62 to 91% for the summer samples and 70–93% for those collected in winter. A linearity was observed for the analytes whose correlation coefficients were within the range of 0.9995 and 1.000 for the winter samples and 0.9995 and 1.000 for those collected in summer. The results showed that the contamination levels, especially for samples collected in summer were greater than the legally permissible limits. The t -test analysis shows that the mean and standard deviation of the four types of Aflatoxins considered were higher in summer than in winter. The findings of the study indicated that ginger, as for all agricultural commodities, are prone to mycotoxin contamination.

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The community of microbes in the rhizosphere region is diverse and contributes significantly to plant growth and crop production. Being an important staple and economic crop, the maize rhizosphere microbiota has been studied in the past using culture-dependent techniques. However, these limited culturing methods often do not help in understanding the complex community of microbes in the rhizosphere. Moreover, the vital biogeochemical processes carried out by these organisms are yet to be fully characterized. Herein, shotgun metagenomics, which enables the holistic study of several microbial environments, was employed to examine the community structure and functional potentials of microbes in the maize rhizosphere and to assess the influence of environmental variables on these. The dominant microbial phyla found in the soil environments include Actinobacteria, Microsporidia, Bacteroidetes, Thaumarchaeota, Proteobacteria and Firmicutes. Carbohydrate metabolism, protein metabolism and stress metabolism constitute the major functional categories in the environments. The beta diversity analysis indicated significant differences (p = 0.01) in the community structure and functional categories across the samples. A correlation was seen between the physical and chemical properties of the soil, and the structural and functional diversities. The canonical correspondence analysis carried out showed that phosphorus, N-NO3, potassium and organic matter were the soil properties that best influenced the structural and functional diversities of the soil microbes. It can be inferred from this study that the maize rhizosphere is a hotspot for microorganisms of agricultural and biotechnological importance which can be used as bioinoculants for sustainable agriculture.