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Aflatoxins are naturally occurring group ofcarcinogenic
toxins produced by Aspergillusflavus
and Aspergillusparasiticus. The
toxins affect both developing and developed worlds and are of public health importance
because of their effects on human health and food safety. Reportsindicate that
40% of diets in both rural and urban communities in Kenya are likely to be
contaminated by the aflatoxins. Cases of aflatoxin poisoning resulting from
consumption of contaminated maize have been reported yearly in Eastern
Kenya,with several outbreaks of aflatoxicosis, the worst having occurred in
2004.However, data on aflatoxin levels in foods in other parts of the country
is scanty. The main objective of this
study was establishedaflatoxin levelsin selected market foods in Kisumu County,
Kenya.The specific objectives were: to determine the proportion of foods
contaminated with aflatoxin; to determine aflatoxin levels by market place. In a cross sectional survey, 297 solid food
samples selected by a combination of cluster and systematic sampling; and 80
milk samples selected from market outlets using the European Model were
analyzed for aflatoxin contamination in June-August, 2013. Aflatoxin
levels were analyzed using Enzyme Linked Immunosorbent Assay (ELISA) in parts
per billion (ppb). Aflatoxin B1 and M1 levels in market
foods ranged between 0 ppb to 34.5 ppb and 0.012 ppb to 0.127 ppb respectively.
Sorghum had the highest aflatoxin median levels (median=14.2; IQR= (8.5-19).
These results underpin the need to initiate strategies geared towards reducing
aflatoxinlevels in staple foods consumed in
Kisumu County.
Key words:Aflatoxin, Sampling, ELISA, Parts per billion, Exposure
INTRODUCTION
Aflatoxins are food contaminants that
cause liver and others cancers in human (International Agency for
Research on Cancer)[IARC][1], as well asgrowth faltering in young children[2]. The toxins are of public health
importance because of their effects on human health and food safety[3].
Aflatoxinsare produced by fungal
action during food production, harvest, storage and processingand affect a
large proportion of world’s staple foods especially maize and groundnuts[4].Contamination
of food supplies by aflatoxin is of particular concern in rural communities of
developing countries[5], where high levels have been found in staple foods,
causing concerns about the quality of the food and the health implications to
the consumers.
It is
indicated that about 25% of the world’s
food could be contaminated with aflatoxins[6] and about 4.5 billion people globally exposed to
aflatoxins through contaminated food3, giving rise to concerns that
aflatoxin contamination could impair food securityand pose a great health risk
to consumers, especiallyin developing countries.Although Many of the dietary staples in developing countries
could be contaminated with aflatoxin, highest levels have been reported in
maize and groundnuts[7]. Aflatoxin levels in most staple foods in Kisumu County
have not been established.
Reports
indicate that about 1.8 million Kenyans are chronically exposed to large
amounts of aflatoxins[8]. Studies carried out in Kenya also reveal that more
than 40% of diets in both rural and urban communities are likely to be
contaminated by the aflatoxins[9]. This suggests that a big proportion of the
Kenyan population risk exposure to aflatoxin and the associated health risk.
Cases of
aflatoxin contamination in foods and aflatoxicosis have been reported yearly in
Eastern Region of Kenya the worst having occurred in 2004 where 317 cases and
125 deaths were reported[10]. However, high levels of aflatoxin have been
reported in maize in Nyanza compared to Eastern Region, which has been assumed
to have the highest levels of aflatoxin contamination in food[11], causing
concern that other parts of the country could be affected, other than Eastern
Region.
Most households in Kisumu
obtain their food products from own farms and from the markets[12]. It is
documented that any effort to combat exposure to aflatoxin must consider the
potential role of the market system in sustaining exposure[13]. Most staple foods in Kenya are
marketed through informal marketing systems where products are seldom tested
for aflatoxin contamination. The major food markets in Kisumu County include;
Kibuye whole sale market, Kibuye open air market, Oile market, Mamboleo market,
Ahero market, Kiboswa market, Holo market (Personal communication with Kisumu
East District Crops Officer, 2014). Investment in drying, and storage
facilities is crucial for prevention of aflatoxin contamination in market
food[3]. Most of the markets in Kisumu do not have appropriate drying and
storage facilities, potentially exposing the food products to extreme weather
conditions and aflatoxin contamination. Some of the foods consumed in Kisumu
County come from other counties and could be potential source of aflatoxin
exposure (Table 1).
Maize, sorghum,
groundnuts, cassava and rice constitute the major staple diet consumed in
Kisumu County[12], and are likely to be contaminated with aflatoxins. However, emphasis in most researches on aflatoxin
contamination levels in Kenya have been conducted in Eastern Region and mainly
focused on maize. Given that other foods could also be at risk of aflatoxin
contamination and exposure even to low levels of the toxins may have
long term effect on health, studies aimed at determining aflatoxin levels in
staple foods that constitute the diet of Kisumu County,and other parts of the
Kenya, ought to be encouraged.
Consumption of contaminated animal feedsand improved pastures such napier grass, fodder shrubs and legumes, by animals may expose consumers to the toxin
through contaminated animal products[14]. It is reported that most
animal feed manufacturers rarely testimported raw animal feed materials for
aflatoxins and the Kenya Bureau of Standards does not remit results of
aflatoxin in feeds regularly[15]. A study carried out in Kenya to highlight
existing danger of mycotoxin contamination of dairy feeds, found that aflatoxin
B1 was one of the most widely occurring and dangerous of all
mycotoxins found in animal feeds[14]. A similar study by Kangethe and
Langa[15], further established that 72% of the milk from dairy farmers, 84%
from large and medium scale farmers, and 99% of the pasteurized marketed milk
were positive for aflatoxin M1, and 20%, 35% and 31% of positive
milk from dairy farmers, medium and large scale farmers, and market outlets
respectively, exceeded the WHO/FAO levels of 0.05µ g/Kg-1. The aforementionedfindings confirm the
presence of aflatoxin in animal based food and aflatoxin contamination through
animal feed which may find its way into the human food chain, potentially
endangering the health of consumers; and therefore the need to determine the
aflatoxin in such foods.
A report
from the then Ministry of Fisheries Development[16] revealed that Nyanza
produced 90% of the total fish in the Country with Rastrienobolaargentea (dagaa)
contributing 47% of the fish produced in Nyanza. Dagaa is one of the cheap sources of protein that is consumed by
many Kenyans as well as a major ingredient in animal feeds [17]. In 2010,
70,000 tons of dagaawas produced, 70%
of which went to feed industry and 30% for human consumption (MoFD, 2012). Any
contamination that finds its way into feeds ends up in human consumption
through the food chain.Nile perch and dagaa together constitute over 90%
of fish of Lake Victoria[17]. In a
recent study carried out in Winam Gulf of Kenya to establish determinants of
carcinogenic polyclic aromatic hydrocarbons, aflatoxins and nitrosamines in
processed fish, aflatoxins mean concentration of 0.33–1.58 ppb were found in
sun dried dagaa and daily intake of aflatoxins through consumption of dagaa
was estimated at 0.0079 ug/kg during rainy season[18].
Milk
consumption in Kenya was projected at 4.1 billion litres in 2014, the highest
in Sub-Sahara Africa[19]. The annual per capita consumption at household level
in the rural areas was 45 litres for milk producing households and 19 litres
for milk purchasing households and 145 litres for urban areas. Per capita
consumption in Central and Rift Valley Regions was 144 litres to 152 litres and
38 litres to 54 litres in other Regions[20]. This translates to daily milk
consumption of 0.128 litres (128 mls) in other Regions. Per capita milk
consumption in Kisumu County was estimated at 31.2 litres which translates to
0.09 litres (90 mls per day)[20].
MATERIALS AND METHODS
This study was conducted in Kisumu East and
Nyando Sub-Counties, Kisumu County, Kenya. Kisumu County has seven Sub-Counties
(Kisumu East, Kisumu West, Kisumu Central, Kisumu North, Nyando, Muhoroni and
Nyakach), with an area of 2,085.9 km2 and a population of 968,909(Kenya National Bureau
of Statistics)[21].
A cross sectional design was used to establish aflatoxin levels was
used to determine the aflatoxin levels in selected market foods in Kisumu
County.The cross sectional market study was conducted in Kisumu East and Nyando
Sub-Counties, Kisumu County, Kenya. Based on data on food production and
requirement in Kisumu County from the Department of Agriculture Annual Report
2015, and informal interviews with nutritionists, consumers and Department of
Agriculture staff, common staple foods (maize, sorghum, millet, cassava, rice, dagaaand milk) were collected from five
major markets (Kibuye wholesale market, Kibuye open market, Oile Market,
Mamboleo market and Ahero market) and analyzed to determine the actual
aflatoxin levels.
The study population composed of 213 bags
(90kg) of dry foods (dagaa63 bags,
rice 34 bags, groundnuts 23 bags, cassava 41 bags, maize 46 bags, sorghum 31
bags) from 5 markets (Kibuye wholesale market, Kibuye open market, Oile Market,
Mamboleo market, and Ahero market) from Kisumu East and Nyando Sub-Counties,
and raw milk samples from 3 milk bazaars (Ahero, Mamboleo and Guba markets) and
processed milk from 3 supermarkets in Kisumu County. The total population of
milk samples in the supermarkets was unknown.
The
sample size for the number of food samples to be collected from each market was
calculated based on formula by Israel[22]:
N/ (1+N (e) 2); .where N is the
population size of total available bags of each food in the market at the time
of survey and e is the margin of error set at 5% (0.05) at 95%
Confidence
level.
Only one
sample of 500g was required per bag[23], hence the total number of bags was
equal to the total number of the different samples. The total population of
milk samples in the supermarkets was unknown. Two hundred and nineteen dried
food samples (500g each) and 80 milk samples (50 samples of processed and 30
samples of raw milk) were collected as shown in Tables 2.
Of the
dry foods, dagaa had the highest
numbers of bags (63) in the market followed by maize (46) and cassava (41),
while groundnuts had the lowest number of bags (23) in the market.
Six
markets were purposively selected for inclusion in the survey. Based on their
geographic locations, these markets served the largest population in their
respective Sub-Counties. They were likely to have enough vendors with a variety
of food products of interest to the study including; maize, sorghum, cassava,
rice, dagaa (Rastrienobolaargentea) and milk. The markets selected were: Kibuye
wholesale market, Kibuye open market, Oile Market, Mamboleo market, Guba and
Ahero market. Foods that formed a big proportion of the staple food in Kisumu
County, according to Ministry of Agriculture 2012 Annual report[24], were
chosen for inclusion in the study. The vendors were chosen if they had foods of
interest to the study and gave an informal consent to have their foods sampled.
Sampling
of dry foods was done using a combination of cluster and systematic sampling. A
sample of five hundred grams of available maize, sorghum, polished rice,
cassava, groundnuts and dagaa,was
collected from each bag from the vendors[25]. The European model, which
recommends that a 500g sample composed of five 100 g portions of milk is taken
from a batch, be used for the minimum sample size and sample selection method
was applied[26].
Two
hundred and nineteen dried food samples (Maize, sorghum, cassava, rice,
groundnuts and dagaa) were scooped
from selling bags at different points of the bags to ensure uniformity, using
respective vendor tools such as tins, and double packaged in brown paper
envelopes to avoid cross contamination and moisture penetration[23]. The
packages were properly labeled, coded and the sources properly recorded and
were transported to Kenya Agricutureand Livestock Research Organization (KALRO)
Kitale for aflatoxin analysis. Processed cow’s milk samples were collected from
three major supermarkets in Kisumu City and raw cow’s milk samples from 3
market milk bazaars at Guba, MamboleoandAhero markets. Five 500 mls portions of
milk were taken from each batch of milk[26] and put in 100 ml plastic bottles.
A total of 80 milk samples were collected as follows: 50 processed milk samples
from the 5 most common milk brands (coded for purposes of confidentiality) from
three major supermarkets in Kisumu City; and 30 raw milk samples were collected
from Ahero, Mamboleo and Guba market milk bazaars. The milk samples were
immediately frozen and stored at -20oC before being transferred to
KALRO Kitale for analysis.Aflatoxin M1 content was reported in parts
per billion (ppb).
Aflatoxin
B1levels in maize, sorghum, millet, cassava, rice, anddagaawere determined by Enzyme Linked
Immunosorbent Assay [ELISA][27]. Aflatoxin M1 levels in milk samples
were analyzed using HelicaAflatoxin M1 Assay (Aflatoxin M1
ELISA), with high affinity for aflatoxin M1[27].
Data was
entered in excel (version2010), cleaned and exported to Statistical Package for
Social Sciences (SPSS) software (IBM SPPS Statistics®) version 20,where
variables for analysis were generated.
Prevalence
of aflatoxin contamination levels in selected staple foods was determined by
frequency of detectable AFBI in food samples and expressed as
proportions. Levels of aflatoxin in market food were expressed as median and
IQR.
The
research proposal was approved by the School of Graduate Studies, Maseno
University approval process. Permission to conduct study was sought from the
Maseno University School of Graduate Studies.
Aflatoxin
in solid food and milk samples was assessed to determine contamination levels
and identify samples with levels above the regulatory limits that could be
potential sources of aflatoxin contamination in Kisumu Country. The KEBS limits
of 10ppb apply for solid foods[28] and the Codex Alimentarius limits of 0.05
ppb apply for milk samples[29].
Aflatoxin levels ranged from 0 ppb to 35.4 ppb aflatoxin B1 in
solid food samples and 0.00 ppb to 0. 13 ppb aflatoxin M1 in milk
samples. Of the solid food samples (n = 219) analyzed, 80.8% were contaminated
with aflatoxin with 12.8% above the regulatory limit of 10ppb. All (100%) of
the maize, groundnuts and sorghum samples were contaminated with aflatoxin.
None of the cassava and dagaa samples
had aflatoxin levels above the regulatory limit. Maize had the samples with the
highest aflatoxin levels of 35.4 ppb, but they were isolated cases hence
outliers. Of the dry foods, sorghum had the highest proportion of samples
(71.4%) with aflatoxin contamination levels above the regulatory limit of >
10 ppb, with a median (IQR) contamination level at 14.2 (8.5, 19); while
cassava had the lowest median (IQR) aflatoxin contamination levels at 0.5 (0.5,
0.5). All the processed milk (n = 50)
and raw (n = 30) milk samples were contaminated with aflatoxin. Of the total
processed milk samples (n=50), 38%
were contaminated with aflatoxin levels above regulatory limit of 0.05 ppb,
while raw milk did not have any samples above the regulatory limit for milk.
All dagaa, cassava and raw milk samples had
aflatoxin levels below 10 ppb; with some of the samples having no detectable
aflatoxin. Some maize samples had high aflatoxin levels, but all of these were
outliers. When the median contamination levels were calculated, only sorghum
had median aflatoxin levels above the regulatory limit of 10 ppb (Table 3).
Aflatoxin was assessed by market to determine potential source
markets of aflatoxin contaminated foods in Kisumu County. Figure 1 shows the overall median and IQR aflatoxin levels in total
food samples for each market.
Sorghum
had the highest median aflatoxin levels and the levels were highest for sorghum
from Kibuye Wholesale Market compared the other markets.
Results
in Table 4indicate aflatoxin levels
in foods by market place. Food samples from Kibuye open air and Ahero markets
had the highest overall aflatoxin median (IQR) levels, 0.5 (0.5, 7.3) and 0.7
(0.5, 2.08) respectively, compared to 0 (0, 0.7), 0.5 (0.01, 1.8) and 0.5 (0.5,
1.75) for former Oile, Mamboleo and Kibuye wholesale markets respectively.
Processed
milk had the highest median aflatoxin M1 level (0.04 ppb) compared
to the other markets. Raw milk from Ahero market had highest median M1aflatoxin
level (0.1 ppb) Guba market had the lowest median M1 aflatoxin level (0.035).
In this
study, selected market foods were analyzed to identify foods which could be
potential sources of aflatoxin exposure in Kisumu County. All the samples of
maize, sorghum, groundnuts and milk were contaminated with varying levels of
aflatoxin, indicating that they are all sources of dietary aflatoxin exposure.
All the foods except dagaa, cassava
and raw milk had samples with aflatoxin levels above the regulatory limits;
therefore they are sources of high aflatoxin exposure as defined in this study.
Sorghum had the highest number of samples contaminated with aflatoxin and also
the highest median aflatoxin levels reflecting the most consistent
contamination of all the foods. Although maize had the samples with highest
aflatoxin contamination levels, they were isolated samples. This study
established that although sorghum, maize, groundnuts and rice are sources of
aflatoxin contamination at levels above the Kenya regulatory limit, such
contamination occurs in less than 50% of total samples and only translates to
consistent contamination in sorghum. These results are of concern for several
reasons:
First,
the foods analyzed form a major component of staple foods produced and consumed
in Kisumu County[24]. Whereas previous studies on aflatoxin contamination
internationally have focused on maize and groundnuts[3], little attention is
given to other foods which could be potential sources of aflatoxin
contamination. Results from our study show that rice, dagaa, sorghum and processed milk may also expose individuals to
aflatoxins above regulatory limits and hence may pose a health risk to
consumers in Kisumu County. This is especially so if individuals purchase even
isolated samples with high contamination levels, given that aflatoxin persists
in the system for a considerable period of time. In a simulation study from the
data in this study, it was indicated that if the food items assessed were used
as complimentary foods for infants, assuming consumption of cereal and tubers
and milk, infants could have aflatoxin intakes as high as 110 ng (0.110µg)/kg
body weight per day[30] and pregnant women 150 µg/ kg body weight per day[31].
These figures are higher than the findings from a study carried out in The
Gambia, West Africa, where residents of Keneba, West Kiang, were found to be
exposed to aflatoxin originating from several foods with an intake ranging from
0 to 29 µg/day[30].
Secondly,
the findings of this study reveal that about 90% of the foods were contaminated
with aflatoxin compared to the reported 25% of the world food contamination6.
However, unlike the FAO’s 25% that takes into consideration aflatoxin
contamination of all foods consumed, this study only focused on selected
samples comprising of the commonly consumed foods in Kisumu County, therefore
bias cannot be ruled out in the high percentage. Nonetheless, these foods form
a big proportion of the foods consumed in Kisumu County and their flours are
commonly used in complimentary foods by most households in the County[24],
hence the results of this study may be a good reflection of average consumption
of aflatoxin. Data from weighed food records from one day dietary intakes by 20
participants showed that 19 consumed at least one meal of ugali, 9 at least one
meal of porridge, 10 consumed at least one meal of rice, 20 at least one meal of tea with milk,
and 9 at least one meal of omena in one day. These data showed that cereals,
milk, as well as omena were commonly consumed in Kisumu County and could be
possible sources of aflatoxin exposure.
Third,
although maize and groundnuts have been considered the major sources of
aflatoxin and the results of this study showed that sorghum may also require
equal attention given its production and wide consumption in the region[12]. In
this study, the proportion of sorghum samples with detectable aflatoxin levels
was higher than that of maize and groundnuts, indicating more widespread
contamination in sorghum than in other foods. This suggests that sorghum could be an emerging possible
source of high levels of aflatoxin compared to maize. Therefore, although the
findings of this study are based on cross-sectional data, only reflecting
contamination at one time point, the findings of this and the other studies, in
combination, point to a need to confirm whether or not this contamination
persists over time. Furthermore, from the food frequency and 24-hour dietary
recall surveys, sorghum was used in preparation of ugali (cooked paste made from flour and water) and porridge
consumed by both adults and young children.
Fourth,
sorghum, rice and cassava are among the major food crops being promoted as food
security crops by the National and County Governments under the Traditional
High Value Crops and Rice Promotion Programmes[12]. This has resulted in
increased production and by extension, consumption of these foods. At the levels detected through the analysis,
sorghum and rice could be among major contributors to aflatoxin exposure in
Kisumu County, other than groundnuts and maize.
Cassava and dagaa(Rastrineobolaargentea) had the lowest
aflatoxin levels among dried foods.
The
levels of aflatoxin in dagaareported
in this study were similar to those reported in samples of dagaa in Winam Gulf of Kenya Kisumu[18]. Given
that Nile Perch anddagaa together constitute over 90% of fish of
Lake Victoria and that 70% of dagaa
from Nyanza region is used as animal feed[16] and 30% as human food, there is
need to ensure that fish intake does not expose consumers to aflatoxins.
Further, given that the detection limit for both aflatoxin B1 and
aflatoxin M1 was < 1 ppb, even samples with non-detectable levels
could still contribute to the total aflatoxin exposure in Kisumu County.
Processed
milk, but not raw milk, had samples with contamination levels above the Codex
Alimentarius regulatory limits. These findings concur with results from the
study carried out Kenya which established that 72% of the milk from dairy
farmers, compared with 99% of the pasteurized marketed milk was positive for
aflatoxin M1, and 20%, and 31% of positive milk from dairy farmers,
and market outlets respectively, exceeded the WHO/FAO levels of 0.05µg/Kg-1.
High levels of aflatoxin in processed milk could have resulted from aflatoxin
contaminated animal feed concentrates fed to the animals[15].
Codex
Alimentarius recommends a regulatory limit of 0.05µg/kg for countries with
strict regulatory measures for aflatoxin M1; and 0.5µg/kg for other
countries[29]. Currently, Kenya
does not have set minimum regulatory limit for aflatoxin M1 for
milk[28], whose consumption is high among the general population, infants and
young children. Given that mean
aflatoxin M1 concentrations of 0.023 µg, 0.05 µg and 0.5 µg in milk
are associated with 9.4, 20 and 200 cancer cases per year per 106
people[29], the levels in processed
milk in Kisumu County should spur some action from respective authorities.
Therefore, based on the levels of aflatoxin established in processed milk,
there is need to institute quality control measures to ensure continued safety
of milk consumers; and given that milk forms a big proportion of the first food
an infant is given before introduction of other foods.
In
considering food contamination by source, food samples from Ahero and Kibuye
open air markets had the highest median aflatoxin levels, while food samples
from Oile market had the lowest aflatoxin levels. Ahero area is characterized
by frequent flooding during the rainy seasons and prolonged drought during the
dry periods[32], conditions which favor growth of moulds. Kibuye Open Air
Market did not have properly constructed shelters for dry foods; the foods were
therefore exposed to extreme weather conditions making them vulnerable to
aflatoxin contamination and proliferation of aflatoxins. Oile Market, on the
contrary, had temporary structures which provided some form of protection
against harsh weather conditions; which could explain the low levels of
aflatoxin in foods from that market.
Kisumu
County is not food secure and some of the foods consumed in the County are
sourced from outside the County based on the figures on food production and
requirements[12] (Table 2.). Some of
the sources of the food consumed are as indicated: Dagaa (Homa Bay, Migori, Siaya and Bondo); Rice (Busia, Tanzania,
Siaya); Groundnuts (Uganda, Busia, Homa Bay); Maize (Rift Valley, Busia, Molo,
Migori); Sorghum (Busia, Uyoma, Migori, Siaya), Raw milk (Nandi, Kericho,
Bomet) (Table 1).Traceability of the food sources is important if
efforts to minimize aflatoxin levels in the foods in Kisumu County are to
succeed.
ACKNOWLEDGEMENT
My special tribute goes to my supervisors; Dr. Pauline
Andang’o, Prof. Charles Obonyo and Dr. Francesca Lusweti for their dedication,
patience and encouragement that resulted in the completion of this Thesis. This work would not have been
possible without the financial support from the East Africa Agricultural
Productivity Project (EAAPP), who provided funds for aflatoxin analysis of food
samples;.I highly appreciate the Kenya Agricultural and Livestock Research
Organization (KALRO) Kitale for the special role of carrying out aflatoxin
analysis of the food samples; with special gratitude to the laboratory
technicians, Mr. PhochunatusSifuna and Mr.Hillary Simiyu. I would also like to appreciate the staff of
the School of Public Health and Community Development and Maseno University
School of Graduate Studies for the assistance they offered that has contributed
to the completion of this work.
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