ABSTRACT
Mycotoxins such as aflatoxins and fumonisins are prevalent contaminants of maize, which is a major staple food in Kenya. Aspergillus flavus, Aspergillus parasiticus and Fusarium verticilloides are the major producers of carcinogenic aflatoxins and fumonisins respectively. Currently there are no effective methods of decontaminating grains and whole consignments have to be destroyed. This study sought to determine the effectiveness of density sorting in reducing aflatoxin B1, fumonisins, Aspergillus spp. and Fusarium spp. populations in maize grains. Samples (n=206) were collected during the 2017 harvest crop from markets in eight counties in Western and Nyanza regions of Kenya. Sample numbers differed across counties ranging from 10- 30 per county. All samples were analyzed for mycotoxins using an ELISA assay. Ten samples with more than 50 ppb of aflatoxin B1 and 4 ppm of fumonisins were weighed into 300 g with two replicates and sorted using a density sorter into heavy and light fractions constituting 65-75% and 25-35% of the original weight respectively. Bulk density was determined by filling a container of given weight and volume with kernels and the weights were determined for the heavy and light fractions. Kernel weight for each of the heavy and light fractions was determined by weighing 100 kernels. The effectiveness of density sorting in reducing mycotoxin-producing fungi was determined by isolation from 20 samples of the unsorted and 80 samples of the sorted heavy and light fractions. Finely ground maize flour was serially diluted and plated on PDA and Rose Bengal Modified Dichloran media. Single isolates of Fusarium spp. and Aspergillus spp. colonies were counted after five days and the number of colony forming units determined. Each fraction was analyzed for aflatoxin B1 and fumonisins by ELISA then reduction of the toxins in the heavy fractions determined in comparison to the unsorted samples. The unsorted maize samples had up to 765±0 ppb aflatoxin B1 and 16±0 ppm fumonisins. The Majority (68%) of the samples showed a co-existence of the two toxins with aflatoxin B1 being more prevalent. Bulk density and kernel weights of the fractions were higher in the heavy fractions and lower in the light fractions. Mycotoxin-producing fungi isolated from unsorted and sorted samples were Aspergillus spp., Fusarium spp. and Penicillium spp. Prevalence of Aspergillus flavus was higher in 93% of the samples followed by Penicillium spp. at 85% and Fusarium verticilloides at 67%. Population of Aspergillus flavus and Fusarium verticilloides significantly (p<0.05) varied among the unsorted, heavy and light fractions, with the light fractions exhibiting highest populations and the unsorted grains exhibiting the lowest. There was no significant (p>0.05) reduction in the populations of Aspergillus flavus and Fusarium verticilloides in the heavy fractions. Density sorting did not effectively lower the fungal populations in the heavy fractions though the light fractions had evidently higher populations than the unsorted and the heavy fractions. Density sorting reduced fumonisins in 100% of the samples with an average of 71% reduction and aflatoxin B1 in 50% of the samples while the levels increased in the rest of the samples averaging the percentage change at -12.8%. Bulk density and aflatoxin B1 levels exhibited a strong correlation. Bulk density and fumonisins levels in light fractions had a strong correlation while in the heavy fractions the correlation was weak. Density sorting can be used to reduce fumonisins and aflatoxin B1 effectively in maize grain but had no effect on mycotoxin-producing fungi. The density sorter machine should be improved for large scale use at a commercial level.
Key words: Aspergillus, Aflatoxins, Density sorting, Fumonisins, Fusarium, Mycotoxin
TABLE OF CONTENTS
DECLARATION I
DECLARATION OF ORIGINALITY II
DEDICATION III
ACKNOWLEDGEMENTS IV
LIST OF TABLES VII
LIST OF FIGURES VIII
LIST OF ACRONYMS AND ABBREVIATIONS IX
GENERAL ABSTRACT XI
CHAPTER ONE: INTRODUCTION
1.1 Background information 1
1.2 Problem statement 1
1.3 Justification 3
1.4 Objectives 4
1.5 Research hypotheses 5
CHAPTER TWO: LITERATURE REVIEW
2.1 Key maize production areas in Kenya and their risk of mycotoxin contamination 6
2.2 Prevalence of mycotoxins in Kenya 6
2.3 Mycotoxins occurring in maize 7
2.4 Fungi producing aflatoxin B1 and fumonisins 8
2.5 Diseases caused by Aspergillus flavus and Fusarium verticilloides in maize 9
2.6 Factors that contribute to aflatoxin and fumonisins accumulation 11
2.7 Health effects of aflatoxin B1 and fumonisins on human and animals 12
2.8 Management of aflatoxins and fumonisins 13
2.9 The use of sorting in the management of aflatoxin B1 and fumonisins 15
2.10 Regulations of aflatoxins and fumonisins 17
2.11 Detection and quantification of aflatoxin B1 and fumonisins 18
CHAPTER THREE
EFFECTIVENESS OF DENSITY SORTING IN REDUCING ASPERGILLUS AND FUSARIUM INFECTION IN MAIZE GRAIN
3.1 Abstract 20
3.2 Introduction 21
3.3 Materials and Methods 22
3.3.1 Description of the average rainfall and temperatures where samples were collected 22
3.3.2 Density sorting of the selected maize samples 23
3.3.3 Preparation of media 24
3.3.4 Determination of populations of Aspergillus and Fusarium in the maize samples 25
3.3.5 Identification of the isolated Aspergillus and Fusarium species 26
3.4 Data analysis 27
3.5 Results 27
3.5.1. Weights of the sorted fractions for determination of Aspergillus and Fusarium populations. 27
3.5.2 Population of Aspergillus and Fusarium species isolated from sorted and unsorted samples 29
3.6 Discussion 35
3.6.1 Weights of the sorted fractions for determination of Aspergillus and Fusarium populations 35
3.6.2 Population of Aspergillus and Fusarium species from sorted and unsorted samples 35
CHAPTER FOUR
EFFECTIVENESS OF DENSITY SORTING IN REDUCING AFLATOXIN B1 AND FUMONISINS IN MAIZE GRAIN
4.1 Abstract 37
4.2 Introduction 38
4.3 Materials and Methods 39
4.3.1 Mycotoxin analysis by Enzyme-Linked Immunosorbent Assay 39
4.3.2 Mycotoxin analysis for density sorted maize samples 41
4.4 Data analysis 41
4.5 Results 42
4.5.1 Levels of Aflatoxin B1 and fumonisins in unsorted samples and their reduction after sorting 42
4.5.3 Correlations among toxins, bulk density, and populations of Aspergillus and Fusarium
species 44
4.6 Discussion 47
4.6.1 Levels of Aflatoxin B1 and fumonisins in unsorted samples and their reduction after sorting 47
4.6.2 Correlations among toxins, bulk density, and populations of Aspergillus and Fusarium
species 49
CHAPTER FIVE
GENERAL DISCUSSION, CONCLUSION AND RECOMMENDATIONS
5.1 General discussion 53
5.2 Conclusions 54
5.3 Recommendations 55
REFERENCES 56
APPENDICES 63
APPENDIX 1: HELICA AFLATOXIN B1 TESTING PROTOCOL 63
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LIST OF TABLES
Table 3.1: Annual climatic conditions of the counties where samples were collected 22
Table 3. 2:Weights of the fractions after sorting for determination of Aspergillus populations 28
Table 3. 3:Weights of the fractions after sorting for determination of Fusarium populations 28
Table 3.4: Population (CFUs g-1 x102) of Aspergillus spp. isolated from unsorted and sorted ground maize 32
Table 3. 5: Population (CFUs g-1 x102) of Fusarium spp. isolated from unsorted and sorted ground maize 33
Table 3. 6: Population (CFUs g-1 x102) of Penicillium spp. isolated from unsorted and sorted ground maize 34
Table 4. 1: Aflatoxin B1 and fumonisins levels in unsorted samples from different counties
and their coexistence in Western Kenya 43
Table 4. 2: Aflatoxin B1 (ppb) levels in the unsorted and sorted maize samples 43
Table 4.3:Fumonisins (ppm) levels in the unsorted and sorted samples and the percentage change after sorting 44
LIST OF FIGURES
Figure 3. 1: Density sorter machine 24
Figure 3. 2: Aspergillus species isolated from ground maize on Rose Bengal media modified with Dichloran fungicide 30
Figure 3. 3: Fusarium species isolated on potato dextrose agar (PDA) from ground maize 31
LIST OF ACRONYMS AND ABBREVIATIONS
BecA : Biosciences East and Central Africa CFU : Colony forming units
Cm : Centimeters
0C : Degrees
DNA : Deoxyribonucleic Acid
ELISA : Enzyme Linked Immunosorbent Assay ESI : Electron Spray Ionization
GC/MS : Gas Chromatography Mass Spectrometry g : Grams
HPLC : High Pressure Liquid Chromatography ILRI : International Livestock Research Institute
ISO : International Organization for Standardization KCL : Potassium chloride
Kg : Kilograms
KH2PO4 : Potassium dihydrogen phosphate KNO3 : Potassium nitrate
LC : Liquid Chromatography
LCMS : Liquid Chromatography Mass Spectrometry MgSO4.7H2O: Magnesium sulfate heptahydrate
ml : Milliliters
MS : Mass Spectrometry
NIR : Near Infra-red
Nm : Nanometer
OD : Optical density
PDA : Potato Dextrose Agar ppb : Parts per billion
ppm : Parts per million
Psi : Pounds per square inch
QC : Quality Control
SNA : Synthetic Nutrient Agar
Spp. : Species
TFC : Total Fungal Count
USA : United States of America
µl : Microliters
µm : Micrometer
CHAPTER ONE: INTRODUCTION
1.1 Background information
Maize is a staple food in Kenya. About 75% of the maize production is provided by small scale farmers out of the 90% produced by households in the rural areas (Kang’ethe, 2011) while 25% is produced by large scale farmers. Maize contributes to most households as a main food source and as an income earner especially in Western and Rift valley regions of Kenya. Statistics from Kenya Maize Development Program show that maize consumption levels are at 103 kg per person per year contributing to 35% of the dietary consumption per day (Kang’ethe, 2011). Maize production has been fluctuating in Kenya over the last 10 years, with the production levels being 24 million bags to 33 million bags per annum. The consumption levels are estimated at over 36 million bags. Maize farming is faced by major challenges at the pre-harvest stages which include pests and diseases such as Maize Lethal Necrosis Disease and Fall Army Worm whereas post-harvest challenges are majorly inclined to fungi producing mycotoxins (Hell and Mutegi, 2011). Mycotoxins pose threats to food safety, requiring great interventions as food safety enhances people’s health and productivity.
Mycotoxins are secondary metabolites produced by many species of fungi during the pre-and post- harvest periods. High levels of contamination cause the maize to be very unsafe for animal and human consumption (Wagacha and Muthomi, 2008). Currently the issue of mycotoxins is of primary concern in the Kenyan maize value chain. The major fungi of interest are Aspergillus and Fusarium species causing aflatoxins and fumonisins respectively (Kang’ethe, 2011). Aflatoxins are classified as B1, B2, G1 and G2 with Aflatoxin B1 being the most prevalent and the most potent (Kang’ethe, 2011).
1.2 Problem statement
Many fungi attack maize in the field which include Aspergillus, Fusarium, Alternaria, Cladosporioum and Cochlioboulus. Some fungi start attacking maize in the field and in storage causing major threats to food safety as well as serious post-harvest losses (Mutiga et al., 2015). Aspergillus spp. and Fusarium spp. are major threats to maize causing Aspergillus and Fusarium ear rots respectively, which reduce grain quality. In storage they tend to cause discoloration and shriveling. In addition these fungi produce mycotoxins as their secondary metabolites (Wagacha and Muthomi, 2008). Aspergillus flavus produces aflatoxin which is highly toxic and carcinogenic. Chronic exposure to aflatoxins is associated with liver cancer and currently Kenya ranks 76th globally for this type of cancer (Chai and Jamal, 2012). Acute exposure to aflatoxins in humans leads to hepatic failure and can kill very fast. In 2010, 2.3 million bags of maize were declared unsafe for human consumption by the Kenyan government due to high levels of aflatoxins (Mutegi, Cotty and Bandyopadhyay, 2018). Over 60% of maize produced in Eastern Kenya has unsafe levels of aflatoxins in some years (Mutegi, Cotty and Bandyopadhyay, 2018). Major aflatoxicosis outbreak was reported in Kenya in 2004 with minor outbreaks being reported in 2005, 2006 and 2009 (Muthomi et al., 2009).
Fusarium verticilloides is associated with production of fumonisins which are also carcinogenic. Chronic toxicity arising from exposure of small amounts in humans over a long period of time leads to esophageal cancer (Mutiga et al., 2015). They have also been associated with disruption of sphingolipid metabolism. Currently, Kenya ranks 8th globally in esophageal cancer cases (Chai and Jamal, 2012). Fumonisins have been associated with blind staggers a condition known as leukoencephalemalocia in animals (Cardwell and Henry 2004). Co-exposure of aflatoxins and fumonisins have been shown to increase human morbidity and stunted growth in children (Smith et al., 2012).Aspergillus and Fusarium require high moisture content to thrive especially in storage (Kang’ethe, 2011). Grain damage in the field facilitates fungal colonization which can be prevented by interventions at the pre-harvest and post-harvest stages. Interventions have been attempted in Kenya by improving storage conditions which are not always enhanced by farmers, so the two fungi tend to thrive (Kang’ethe, 2011). Visual sorting has been attempted by most farmers as they believe that visual characteristics can enable them distinguish between the clean and infected samples, which is not always possible. It has been documented that maize kernels that look very clean can be highly toxic with either aflatoxins or fumonisins or both (Mutiga et al., 2015). Maize samples that are traded in the local markets can be very toxic and are then sold to the millers who sell the flour for household consumption. The rate of maize flour consumption in Kenya is very high, which can lead to continuous exposure to the toxins present. Farmers as well as millers do not have a specific way of distinguishing between the clean and infected maize grains. In some cases, some of the grains tend to have a natural co-occurrence of both Aspergillus and Fusarium, being highly contaminated with fumonisins and aflatoxins increasing the negative health effects of consumption (Kimanya et al., 2015). Mycotoxins remain be a major threat to human and animal health and their great impact has informed several approaches to lowering their levels to below the acceptable limit for consumption. The present study adds onto the knowledge gap in the area of sorting maize grains for fungal and mycotoxin contamination.
1.3 Justification
Food safety is vital in any society and ensuring that food consumed enhances nutritional status rather than causing harm. Food that is contaminated only leads to predisposing factors that can lead to chronic illnesses or even death. Continuous intake of aflatoxins in small quantities is suspected to have implications for human nutrition and can lead to chronic problems such as stunted growth and liver cancer. Fumonisins have been associated with esophageal cancer. Fumonisins also affect sphingolipid metabolism. The threats posed to human health by intake of aflatoxins and fumonisins in humans either in small quantities over time or in high quantities at once are very high. It is important to reduce this intake in economically viable ways so that everyone can have access to safe maize. Management of the fungi at the farming and storage levels has not guaranteed safe and clean maize. Several approaches have been applied in trying to reduce the toxicity levels in maize to ensure that the maize is safe for consumption. Mitigation processes that have been tried at pre- and post- harvest periods include;
Harvesting practices are highly critical and most farmers have tried harvesting when the maize is fully mature and dry (Kang’ethe, 2011). The approach seeks to ensure that the maize has the right moisture content to reduce the prevalence of any fungal development. However, most farmers don’t have the right information as to when they are supposed to harvest. Some of the approaches such as harvesting at the onset of rain causes most of the maize to accumulate moisture creating a favorable environment for the fungi producing mycotoxins to infect the maize during storage (Alakonya et al. 2009). Climatic conditions that tend to change over time really affect planting and harvesting seasons (Santiago et al. 2015).
Maize drying is one of the most critical steps in reducing moisture content in maize, which reduces probabilities of fungal growth and consequently, fumonisins and aflatoxin production (Hell and Mutegi, 2011). However, some farmers tend to harvest maize when natural sun drying is not highly effective and when moist maize is placed into storage, fungal development is very high. Other regions have very high relative humidity combined with high temperatures. In such places maize is not fully dried and in storage, mycotoxin accumulation is very high. This approach has not been very effective in curbing the problem of mycotoxins.
Maize sorting has also been practiced by farmers whereby most farmers sort the maize during the harvesting process as they get rid of the rotten maize cobs (Kang’ethe, 2011). The cobs that are classified as highly rotten are shelled separately and their grains used to make animal feeds. The maize cobs that pass through the grading system as clean are shelled separately and considered fit for consumption or sale. The sorting approach has a limitation in that not all maize kernels that are highly contaminated are visibly moldy. Some of the highly contaminated samples appear clean when observed visually, so contaminated maize is still consumed in the Kenyan households. The maize grain lots tend to be heterogeneous for the toxins. Most of the toxins tend to be in a minority of the kernels thus mycotoxin contamination is highly skewed greatly reducing sorting effectiveness (Stasiewicz et al. 2017).
Mycotoxins, as a major threat to food safety and human health, have attracted significant interest. In this context, this project seeks to come up with a cost effective intervention method at a farmer’s and miller’s level to reduce toxicity in the maize set for consumption. The project seeks to test the effectiveness of density sorting in reducing toxicity caused by aflatoxin B1 and fumonisins in maize grain. The approach is because maize grain with high levels of toxins has a lower density compared to the maize grains with lower levels of toxins (Shi et al. 2014; Morales et al. 2019). The difference is attributed to the fact that the fungi in the maize grains feeds on the sugars and carbohydrates in the maize, which lead to the production of secondary metabolites which are the mycotoxins (Nelson, 2016; Lewis et al., 2005). This reduces the bulk density of the kernel thus sorting out a portion of the lighter maize grain from a larger sample may reduce toxicity of the maize.
1.4 Objectives
The broad objective of the study was to evaluate a low-cost sorter as a possible technology in reducing mycotoxin contamination in maize that is used for consumption at a household and consumer level through sorting thus enhancing food safety in Kenya.
The specific objectives were:
i. To determine the effectiveness of density sorting in reducing Aspergillus and Fusarium populations in maize grain.
ii. To determine the effectiveness of density sorting in reducing aflatoxin B1 and fumonisins levels in maize grain.
1.5 Research hypotheses
i. The heavy fractions of sorted maize kernels have lower populations of Aspergillus and Fusarium species.
ii. Kernels that have high levels of aflatoxin B1 or high levels of fumonisins are lighter in weight compared to the ones that are less toxic.
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