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. 2020 Sep 1;7:1157–1163. doi: 10.1016/j.toxrep.2020.08.031

Aflatoxin M1 in Nicaraguan and locally made hard white cheeses marketed in El Salvador

Oscar Peña-Rodas 1, Roxana Martinez-Lopez 1, Mario Pineda-Rivas 1, Roberto Hernandez-Rauda 1,*
PMCID: PMC7494594  PMID: 32983903

Graphical abstract

graphic file with name ga1.jpg

Abbreviations: AFM1, Aflatoxin M1; AFB1, Aflatoxin B1; AFs, Total Aflatoxins (B1+B2+G1+G2); ELISA, Enzyme-linked immunosorbent assay; %RSD, Coefficient of variation; HORRAT, Horwitz ratio

Keywords: AFM1, Central America, Unripe hard white cheese, ELISA, Cumulative rainfall, Relative humidity

Highlights

  • Cheeses marketed in El Salvador have high prevalence of Aflatoxin M1 contamination.

  • Cheese contamination by Aflatoxin M1 is endemic in both El Salvador and Nicaragua.

  • Aflatoxin M1 contamination in cheeses is higher during dry season.

Abstract

Aflatoxin M1 is a carcinogenic and genotoxic metabolite of Aflatoxins present in food contaminated by fungi for lactating cattle, it is excreted through milk and when used to make cheese, the toxin will also be transferred to the dairy. The contamination of unripened hard white cheese with AFM1 seems to vary according to the season of the year, possibly due to the change of foodstuff, from fresh pasture in the rainy season to dried foods in the dry season and vice versa. This research determined both the prevalence and contents of AFM1 in cheeses of local and Nicaraguan origin marketed in El Salvador, as well as the changes occurred according to the season and the association between levels of AFM1 with meteorological parameters. The significantly higher prevalence of AFM1 contamination in both local cheeses and Nicaraguans, was found in the dry season and the lowest in the rainy season (41 % vs. 20 %; 31 % vs. 0%, respectively), the same trend was observed in AFM1 contents (0.076 vs. 0.036 μg/kg; 0.050 vs. 0.021 μg/kg, respectively). A significant association was demonstrated between levels of AFM1 with the averages of accumulated rainfall and relative humidity according to the sampled season. The prevalence of AFM1 in cheeses indicate that El Salvador and Nicaragua are endemic to dairy contamination by that mycotoxin. Seasonal variation may be due to a lack of rainfall, that promotes the growth of aflatoxigenic fungi in the crops of raw materials, which will be used for feedstuff intended for dairy cattle, thus, the consumption of contaminated food will cause the temporary increase of AFM1 in milk and their derivatives.

1. Introduction

Aflatoxin M1 (AFM1) is the main metabolite of Aflatoxin B1 (AFB1), which is one of the four most common variants of Aflatoxins (AFs) [[1], [2], [3], [4], [5], [6]]. There is sufficient evidence for the carcinogenicity of AFM1 alone or mixed with AFB1 and Aflatoxin G1 (AFG1) [7], although of lower potency than AFB1 [8,9]. When cattle ingest food or feed contaminated by AFs, it is estimated that up to 6.2 % of the content of AFB1 is transformed into AFM1 and excreted in milk [[2], [3], [4],10,11]. If milk contaminated by AFM1 is used to formulate cheese or other dairy products, the toxin is transferred from the raw material to the final product [[12], [13], [14]], a process enhanced by the affinity that AFM1 has for casein [13,[15], [16], [17], [18]]. This carry-over effect causes a higher concentration of that toxin content during the milk transformation process [14,15,19], reaching values up to 5.6 times the initial content of AFM1 in soft cheeses [20] and up to 4.5 times in hard ones [15,21].

The prevalence of contamination and the contents of AFM1 in milk and cheese vary seasonally, associated with changes in temperature, rainfall, relative humidity or events such as drought and floods [15,16,[22], [23], [24]]. At the base of such seasonal fluctuation is the availability of green forage, as there is evidence that milk from animals that consume fresh pasture has lower prevalence values ​​and AFM1 contents [[25], [26], [27]]. The risk of milk contamination by AFM1 is increased when cattle are fed mainly with feedstuffs, which are more susceptible to being colonized by aflatoxicogenic fungi due to inappropriate conditions during storage, and which occurs precisely in times with shortage of pasture [17,22,24,25,27], thus, the use of contaminated food will cause the temporary increase in AFM1 in milk and its derivatives [[12], [13], [14],18].

Hard unripened cheeses in El Salvador, such as hard white, had an apparent consumption of 30821.8 metric tons in 2005, of all that imported volume, 71.8 % came from Nicaragua [28]. The import of hard white cheese continues to grow, from 11,240 to 13,266.7 metric tons, and from 29.7–35.2 million dollars between 2014 and 2017 [29,30]. The previous data provides relevance to three aspects, the consumption of hard white cheese is high and is growing among the Salvadoran population; due to this demandthe dairy processing plants in Nicaragua (industrial, semi-industrial and artisanal) export their products either legally or illegally to El Salvador [31]. In addition, there are no local or Nicaraguan reports related to the monitoring of AFM1 in that type of cheese.

In view of the above, it is necessary to monitor the white hard cheese marketed in El Salvador, to determine the prevalence of contamination and the contents of AFM1 in cheeses of local and Nicaraguan origin, the changes occurred according to the time of the year and the association between AFM1 contamination levels with meteorological parameters.

2. Material and methods

2.1. Cheese specimen, manufacturing and storing

Unripened artisanal hard white cheese, also known as Morolique, is semi-dry and it has a firm soft texture due to its relative low moisture content and does not melt with heat, it has similarities to homemade Feta in appearance but not it is so salty and not crumbly.

Artisan cheese processing plants have up to 12 employees, they process from 150 to 1500 L per day with minimal equipment to do so; in addition, they are not legally obliged to pasteurize the milk for the amount they process daily [32].

Manufacturers do not have their own dairy herd but depend on intermediary traders with collection routes for the provision of milk that comes from various farms [31,32]. Ninety-five plants operate in El Salvador, according to 2014 data [32], and one hundred operate in Nicaragua, although the available data is from 1999 [31]. In both countries, there is an underestimation of artisanal plants since Salvadorans process up to 65 % of milk production [32] and Nicaraguans up to 55 % [31].

The white hard cheese manufacturers process the milk between 3 and 6 h after receiving it, they curdle, salt, mold and press it during the following 24 h in the form of 25 kg models, which is ready for distribution to the market, as an option, it can be left to dry for 3 or 5 days more depending on the demand [32]. In the plant, the cheese is stored only for a few hours before distributing it to municipal markets and the shelf life is 30–35 days in refrigeration (if any) or in display cases at room temperature, depending on the equipment of the retailer [32]. According to the previous data, it is estimated that 5–7 days’ elapse between milking and the availability for sale of the cheese in the municipal market and it must be sold before it reaches its useful life (shelf life) because the product usually it is not pasteurized or vacuum packed.

2.2. Type of study and sampling

During a 13-month surveillance of white hard cheese from local and Nicaraguan manufacturing, 74 retail stores of 10 municipal markets were sampled repeatedly. Samplings were spaced three months apart, so that the collection periods were July-August 2018 (rainy season), November-December 2018 (rainy to dry transitional season), February-March 2019 (dry season) and June-July 2019 (rainy season).

The total samples of hard white cheese collected and analyzed were 312, 152 processed in El Salvador and 160 from Nicaragua, all marketed in El Salvador. Each sample collected weighed 1 kg, thus complying with the sampling specifications for the official control of mycotoxins in foods established by the Commission of European Communities [33] and were kept cold during transport to the laboratory. The samples were stored at 2−4 °C in a horizontal freezer until processing and analysis.

2.3. Sample preparation, extraction, and analysis of AFM1

Each 1 kg sample of hard white cheese was homogenized using a food processor. For AFM1 extraction, a procedure according to NEOGEN® Corporation (Lansing, Michigan, USA) was used [34].

The concentration of AFM1 was determined in the cheese samples using the VERATOX kit for AFM1 with a quantification range between 0.005 and 0.100 μg/kg, agreeing to NEOGEN® Corporation [34]. All reagents were acclimatized at room temperature (24 ± 2 °C) prior to use.

2.4. Validation of analytical method

The validation of the analytical method was done by applying two evaluation criteria, the average recovery and the intermediate precision [35]. The procedure to evaluate the average recovery, consisted of spiking hard cheese samples with AFM1 standards at concentrations of 0.050, 0.100, 0.200, 0.300, 0.400, 0.500 and 0.600 μg/kg, prepared in HPLC grade acetonitrile (Avantor ™, Ecatepec de Morelos, Mexico), prior to their analysis. Extraction of the toxin and its quantification was done in the same way described for the cheese samples [34]. The procedure is similar to other previous validations [[15], [16], [17]]. The spiking of AFM1 was carried out in quadruplicate for each level and the analyzes were carried out with the same method, the same type of cheese and the same reactive kits, while the instruments and analysts were different during the five-day trial, as specified to evaluate the inter-run precision tests [35].

The recovery% was calculated by dividing the measured content of a sample by the spiking concentration and the resulting ratio is multiplied by 100; whereas, mean recovery% is the simple average of the set of recovery values obtained per day and per concentration of spiking [35]. The acceptable range for average% recovery values of an analyte in concentrations equal to or less than 1 μg/kg is 40–120%, as established by AOAC International [35].

To evaluate the inter-assay accuracy, the coefficient of variation of the average recovery (% RSD) and the Horwitz Ratio (HORRAT) of spiked samples were calculated [35,36]. To consider that an at concentrations equal to or less than 1 μg/kg, according to the threshold established by AOAC International [35], while HORRAT values must be between 0.3 and 1.3 [36].

2.5. Maximum aflatoxin M1 level

The regulations of the quality standard of unripened hard cheeses, both from El Salvador and Nicaragua, does not have specified maximum permissible limits for AFM1 [37,38] for that reason the maximum level of 0.050 μg/kg setting through Commission Regulation (EC) No 1881/2006 issued by the European Community was adopted in this work, applied it to both fluid milk and dairy products, considering the effect of drying and processing of milk on the concentration of that mycotoxin [8,9,27]. This limit is based on the ALARA principle "As low as reasonably achievable", because AFM1 is a genotoxic carcinogen and that exposure to any level of that toxin will put consumers at risk [9].

As there is no legal limit established for AFM1 in cheeses by the EU through any consensus, other maximum levels have been established on the initiative of five European countries [15,21,27], allowing fulfill requirements of AFM1 maximum permissible content and preventing unwanted economic consequences by a very strict regulatory limit for dairy products to be marketed [13,23].

2.6. Meteorological parameters

To establish the association between the average contents of AFM1 in cheeses of Salvadoran and Nicaraguan origin, with some meteorological parameters, the average monthly accumulated rainfall (mm), temperature (°C) and relative air humidity (%), were obtained from the reports generated by the Environmental Observatory of the Ministry of Environment of El Salvador and by the General Directorate of Meteorology of the Nicaraguan Institute of Territorial Studies, available on the following websites https://www.ineter.gob.ni/met.html and http://www.marn.gob.sv/informes-sequia-meteorologica/. The data of aforementioned parameters for El Salvador were taken from 18 stations distributed throughout the territory, while the measures corresponding to Nicaragua were taken from the stations located in the Western Pacific Zone and the Northern Region, border territories with El Salvador and Honduras, where there is livestock commerce, from which milk is collected and processed to produce the cheeses that are exported to El Salvador [31].

2.7. Statistical analysis

Statistically significant differences among AFM1 prevalence values or average contents, were determined by means of Chi Square test and Student t test, respectively. In all tests, a significance value of p < 0.05 was specified.

The association between variables was determined by means of Pearson's r coefficient. The tests and figures were made with the IBM SPSS Statistics v.24 for Windows program.

2.8. Ethical considerations

In this study, only samples of cheese available for sale to the public were used, no data from vendors nor obtaining living animal tissue were needed, therefore, the consent of informants or the application of a guide for experimentation with animals were not required.

3. Results

3.1. Method validation parameters to determinate AFM1 in pooled samples of hard white cheese

The values ​​of the mean recovery and the inter-test precision as validation parameters of the method to analyze AFM1, are presented in Table 1. The average recovery for spiking greater than 0.050 μg/kg, obtained during the five-day test, were better adjusted to the established range. The mean recovery values ​​did not vary significantly between the five days of the validation test or between the spiking concentrations (F = 1,804, 139 df, p = 0.132).

Table 1.

Method performance parameters for Aflatoxin M1 (AFM1) in spiked pooled samples of hard white cheese.

Spiked level μg/kg Day 1 repeatability (n = 4 per level)
Day 2 repeatability (n = 4 per level)
Day 3 repeatability (n = 4 per level)
Day 4 repeatability (n = 4 per level)
Day 5 repeatability (n = 4 per level)
Average of five day trial
Predicted coefficient of variation under intermediate precision conditions Ratio of average trial RSD% to RSD predicted from Horwitz equation (n = 20 per level) [36]
Mean recovery (%) RSD (%) Mean recovery (%) RSD (%) Mean recovery (%) RSD (%) Mean recovery (%) RSD (%) Mean recovery (%) RSD (%) Mean recovery (%) RSD (%)a PRSD (%) HORRAT Accepted values
0.050 147.15 23.71 215.10 22.38 191.75 22.78 191.00 22.79 147.70 23.69 178.54 23.07 25.12 0.92 0.3 to 1.3
0.100 112.73 22.23 129.95 21.76 140.75 21.49 140.73 21.49 95.30 22.79 123.89 21.95 22.63 0.97
0.200 89.84 20.74 84.98 20.92 93.29 20.61 93.91 20.59 112.90 20.04 94.98 20.58 20.39 1.01
0.300 75.45 20.01 113.53 18.82 80.28 19.82 80.27 19.82 101.21 19.14 90.15 19.52 19.18 1.02
0.400 119.30 17.88 85.47 18.81 83.71 18.86 83.87 18.86 82.99 18.89 91.07 18.66 18.37 1.02
0.500 119.33 17.30 112.04 17.46 84.93 18.20 84.01 18.23 90.87 18.02 98.23 17.84 17.76 1.00
0.600 44.54 19.52 121.29 16.78 89.62 17.57 89.47 17.57 70.97 18.19 83.18 17.93 17.28 1.04
a

Acceptable recovery percentages from 40 % to 120 %, and acceptable values of RSD% are ≤45.3 after Horwitz, and ≤30.0 after AOAC International [35].

Regarding the coefficient of variation under reproducibility conditions (% RSD), it presented an average range of values from 17.84 to 23.07, regardless of the six spiking concentrations used, therefore it did not exceed the limit value threshold of 30 % for contents equal to or less than 1.0 μg/kg. The HORRAT presented a range of values from 0.92 to 1.04 (Table 1), adjusting to the limits established between 0.3 and 1.3. The HORRAT values also did not vary significantly between the five days of the validation test or between the spiking concentrations (F = 1,952, 139 df, p = 0.105).

3.2. Seasonal occurrence of AFM1 in Salvadoran and Nicaraguan hard white cheeses

The prevalence values ​​of contamination by AFM1 in cheeses of local origin and the predominant meteorological parameters are presented in Table 2. During February and March 2019, the highest prevalence of samples took place, which exceeded 0.050 μg/kg during the year sampled (41.0 %); this interval had the lowest average accumulated rainfall of the four quarters sampled (3.6 mm), a temperature of 26.6 °C and the lowest relative humidity overall (63.9 %).

Table 2.

Occurrences of AFM1 in hard white cheese from El Salvador and meteorological parameters in this country.

Country of origin of samples Classification based on AFM1 level Months of sample collection by year
July to August, 2018 (Rainy season) November to December, 2018 (Rainy to dry transitional season) February to March, 2019 (Dry season) June to July, 2019 (Rainy season)
El Salvador < 0.005 μg/kg (< LOQ) 3 (7.9 %)a,b 0 (0%)a 2 (5.1 %)a,b 8 (20.0 %)b
0.005 – 0.050 μg/kg 24 (63.2 %)a 28 (80.0 %)a 21 (53.8 %)a 23 (57.5 %)a
> 0.050 μg/kg 11 (28.9 %)a 7 (20.0 %)a 16 (41.0 %)a 9 (22.5 %)a
Range of contents (μg/kg) 0 to 0.092 0.005 to 0.350 0 to 0.485 0 to 0.308
Sample size 38 35 39 40
Meteorological parameters
Average cumulative rainfall (mm) 205.8 234.3 3.6 231.8
Average temperature °C 25.7 25.0 26.6 27.5
Average relative humidity % 77.8 80.4 63.9 76.5

< LOQ: Under limit of quantitation of test.

a,bCounts and percentages with distinct letter differ significantly between same AFM1 level group per season of a year (p < 0.05, Chi Square test). Salvadoran cheese samples, n = 152.

Cumulative rainfall, temperature, and relative humidity data are averages of the sampling months, including the prior one to each collection period, if these data are available.

The period between June and July 2019 had the significantly higher prevalence of AFM1 negative samples (20.0 %, χ2 = 16.71, 6 df, p < 0.05), it had also an accumulated rainfall of 231.8 mm, average temperature of 27.5 °C and relative humidity of 76.5 %.

The seasonal variation of the prevalence of contamination by AFM1 in Nicaraguan cheeses, as well as the meteorological parameters, are shown in Table 3. The period from November to December 2018 presented the significantly higher prevalence of cases with levels between 0.005 and 0.050 μg/kg throughout the monitored year (94.9 %, χ2 = 63.66, 6 df, p < 0.001) although no sample exceeded the limit of 0.050 μg/kg; This period experienced the highest accumulated rainfall of the year (239.7 mm), average temperature of 25.4 and relative humidity of 82.3 %.

Table 3.

Occurrences of AFM1 in hard white cheese from Nicaragua and meteorological parameters in this country.

Country of origin of samples Classification based on AFM1 level Months of sample collection by year
July to August, 2018 (Rainy season) November to December, 2018 (Rainy to dry transitional season) February to March, 2019 (Dry season) June to July, 2019 (Rainy season)
Nicaragua, Western Pacific Zone and Northern Region < 0.005 μg/kg (< LOQ) 3 (10.3 %)a 2 (5.1 %)a 2 (4.2 %)a 23 (52.3 %)b
0.005 – 0.050 μg/kg 22 (75.9 %)a,b 37 (94.9 %)b 31 (64.6 %)a,c 18 (40.9 %)c
> 0.050 μg/kg 4 (13.8 %)a,b 0 (0.0 %)b 15 (31.3 %)a 3 (6.8 %)b
Range of contents (μg/kg) 0 to 0.162 0 to 0.044 0 to 0.241 0 to 0.415
Sample size 29 39 48 44
Meteorological parameters
Average cumulative rainfall (mm) 118.6 239.7 4.5 153.3
Average temperature °C 25.8 25.4 25.9 27.1
Average relative humidity % 72.5 82.3 64.8 75.7

< LOQ: Under limit of quantitation of test.

a,bCounts and percentages with distinct letter differ significantly between same AFM1 level group per season of a year (p < 0.05, Chi Square test). Nicaraguan cheese samples, n = 160.

Cumulative rainfall, temperature, and relative humidity data are averages of the sampling months, including the prior one to each collection period, if these data are available.

February and March 2019 interval showed the significantly higher prevalence recorded in the four sampled quarters of specimen that exceeded the 0.050 μg/kg limit (31.3 %, χ2 = 63.66, 6 df, p < 0.001); the season in question had the lowest accumulated rainfall of the year (4.5 mm), temperature of 25.9 °C and average relative humidity of 64.8 %. The period between June and July 2019 had the significantly higher prevalence of negative samples (52.3 %, χ2 = 63.66, 6 df, p < 0.001) This sampled period had an accumulated rainfall of 153.3 mm, an average temperature of 27.1 °C and a relative humidity of 75.7 %.

3.3. Seasonal variation on AFM1 contents in Salvadoran and Nicaraguan hard white cheeses

The levels of AFM1 in samples of Salvadoran hard white cheese, obtained during the four monitored quarters are presented in Fig. 1. A significant difference was found between average contents of 2018’s rainy and 2019’ dry seasons (t = -2.545, 75 df, p = 0.014), partially coinciding with the trend shown by the prevalence of AFM1 contamination cases in samples collected in the same periods, especially those that exceed 0.050 μg kg (Table 2). Additionally, the average contents of AFM1 in hard white cheese samples have a low but significant association with the average cumulative precipitation values (Pearson r = -0.226, p < 0.01, n = 152) and relative humidity (Pearson r = -0.225, p < 0.01, n = 152), recorded during the four monitored periods.

Fig. 1.

Fig. 1

Four sampling periods comparison of AFM1 levels in Salvadoran cheese specimen. Variation in AFM1 mean contents of locally−made hard white cheese expressed in month and year in which samples were taken. Numbers inside bars are means and whiskers indicate ± 1 SEM (n=152), bars with distinct superscript differ significantly (p<0.05, Student t test).

The levels of AFM1 in samples of hard white cheese from Nicaragua, obtained during the four monitored quarters are presented in Fig. 2. Significant differences were found among average contents of 2019’s dry and 2018’s rainy seasons (t = -2.023, 75 df, p = 0.047), also with the 2018’s rainy to dry transitional season (t = -3.975, 85 df, p < 0.001), and 2019’s rainy season as well is (t = 2.550, 90 df, p = 0.012). The significant differences found in the contents of AFM1 coincide with the trend shown by the prevalence of samples contaminated by that mycotoxin, which exceed the limit of 0.050 μg/kg and were collected in the same periods (Table 3).

Fig. 2.

Fig. 2

Four sampling periods comparison of AFM1 levels in Nicaraguan cheese specimen. Variation in AFM1 mean contents of Nicaraguan hard white cheese expressed in month and year in which samples were taken. Numbers inside bars are means and whiskers indicate ± 1 SEM (n=160), bars with distinct superscript differ significantly (p<0.05, Student t test).

Additionally, the variation in the average contents of AFM1 in hard white cheese samples, has a low but significant association with the average cumulative precipitation values ​​(Pearson r = -0.266, p < 0.01, n = 160) and with the percentage relative humidity (Pearson r = -0.264, p < 0.01, n = 160), recorded during the monitoring period.

Most of the datasets generated and analyzed during the current study are available at the Mendeley Data site: https://data.mendeley.com/datasets/5hm687y7td/3 [39].

4. Discussion

According to the results obtained in the validation of the analytical method, the recovery averages for spiking equal to and greater than 0.100 μg/kg, are coincident with the acceptable values of mean recuperation for concentrations equal to or less than 1 μg/kg [35] and that are similar to the results obtained in other recovery trials of AFM1 in cheeses [16,19,26].

Regarding the inter-run precision, none of the measurements of both average recovery and % RSD varied significantly between the five days of the trial; in addition, the %RSD values obtained in this work do not exceed the thresholds established by the Codex Alimentarius Commission (45.3 %) or by the AOAC International (30 %) [35]. On the other hand, the HORRAT averages calculated in the five-day trial meet the accepted inter-run precision values [36].

The average prevalence values of AFM1 are high in both Salvadoran (91.7 %) and Nicaraguan (82 %) cheeses, indicating that both countries are endemic to dairy contamination by the aforesaid mycotoxin. Nevertheless, the highest prevalence of cases that exceeded the 0.050 μg/kg limit were detected in the dry season, while the lower prevalence values occurring in the rainy to dry transitional season.

Concerning the fluctuations described in the prevalence of hard white cheese contamination of both origins, several studies provide evidence about the seasonal variation of AFM1 in milk and its derivatives [17,24,25,27,40]. It has been described that prolonged events or conditions of shortage of rain or drought and high temperatures are associated with increases in AFM1 contamination in dairy products or in their raw material [15,[22], [23], [24],41]. The increases in temperature and the decrease in rainfall upsurge the conditions for the growth of aflatoxicogenic fungi in corn [3,4,42,43], the main raw ingredient of feedstuff for cattle [22,42,44,45], therefore, the consumption of contaminated feed will cause the temporary increase of AFM1 in milk and its derivatives [13,15,23]. The previous framework would explain the increase in the prevalence of samples of Salvadoran and Nicaraguan cheeses, with levels of AFM1 that exceed the limit of 0.050 μg/kg during the dry season months, precisely when the use of supplementary food is used more before the shortage of grass for all the cattle, especially the lactating ones.

The proportion of AFM1 positive cheeses of both origins, reported in this work, is similar or higher than the values reported in most other studies presented in Table 4. Differences on AFM1 prevalence among collected values and those from Italy and Argentina are due to, such studies being conducted to estimate the incremental effect of the toxin concentration in cheese making [15] or the process of carryover of Aflatoxins in livestock feed to cheese [20].

Table 4.

AFM1 occurrences and levels in cheeses, after report’s year, country and season.

Year and location No. samples Occurrence and season Contents (range and/or average μg/kg) Reference
1996, Spain 9 55.5%, Not determined 0.020 to 0.130, 0.074 12
2004, Libya 20 75%, Summer 0.110 to 0.520, 0.290 ± 0.160 49
2009, Italy 25 100%, Late autumn to early winter 0.111 to 0.413, 15
0.246 ± 0.095
2010, Turkey 304 71.1%, from autumn 2006 to late summer 2007 0.051 to 0.860, 0.263 ± 0.198 50
2011, Iran 75 Total 65.3 % Spring 0.162 ± 0.024 17
Summer 0.051 ± 0.015
Autumn 0.053 ± 0.018
Winter 0.083 ± 0.020
2012, Iran 50 80% in Winter 2008 0.055 to 0.374, 0.083 ± 0.079 18
40 % in Summer 2009 0.041 to 0.215, 0.024 ± 0.025
2013, Iran 823 40 to 86.6 %, Not determined Not available 51
2014, Iran 20 Not determined Spring: Not detected 26
Summer 0.031 ± 0.005
Autumn 0.047 ± 0.006
Winter 0.119 ± 0.070
2014, Turkey 40 50%, Not determined 0.050 to 0.700, 0.130 52
2015, Serbia 10 100%, Late spring to early summer 0.13 to 0.22, 0.64 13
2016, Turkey 100 52%, Autumn 0.106 to 0.702, 0.211 14
2017, Iran 180 57.8%, Winter 0.153 ± 0.0003 16
50.0, Summer 0.121 ± 0.0023
2017, Iran 100 52%, Winter 0.052 to 0.424, 0.169 ± 0.032 53
2018, Italy 40 27.5%, Winter, spring and early summer 0.039 to 0.096 46
2019, Argentina 36 100%, Winter 0.084 20

In general terms, during the months of February and March 2019, the average levels of AFM1 were significantly higher, both in Salvadoran and Nicaraguan cheeses, coinciding with the lowest averages of both accumulated precipitation and relative humidity for those zones of the Central American Isthmus. Significantly lower average AFM1 contents were detected between July and August 2018 for Salvadoran cheeses, and between June and July 2019 for Nicaraguan dairy products, in both cases coinciding with relatively high averages of accumulated precipitation and relative humidity.

The increase in the mean contents of AFM1 in Salvadoran and Nicaraguan cheeses during the time of the year with less accumulated rainfall, coincides not only with the higher prevalence of contamination by that mycotoxin, but with the evidence indicating that the scarcity or absence of rain is associated with the increase of AFM1 contamination in milk and its derivatives [23,24,41].

Regardless of the time of year sampled, the ranges and averages of the levels of AFM1 in both Salvadoran and Nicaraguan cheeses, presented in this work, are lower than the values obtained in most of the studies shown in Table 4, but similar to those reported in Spain, Iran, Italy and Argentina [12,18,20,26,46]. In any case, substantially higher levels of AFM1 are reported in other geographical regions, for example, some countries in Northern Africa and the Middle East [[49], [50], [51], [52], [53]].

Understanding the seasonal fluctuation and the high prevalence of AFM1 in cheeses, can provide the basis for selecting the best season and crop practices that are used for the preparation of feed for livestock, thus preventing the contamination by toxicogenic fungi and, consequently, the transfer of AFM1 to dairy products.

The risk estimate for Salvadorans of all ages within the frequent consumption of dairy products contaminated by AFM1 should be addressed in future studies, as has been done in milk [47,48] and cheese [16].

5. Conclusions

The method to quantify AFM1 used in this work proved to have adequate precision, because it has reached acceptable values of average recovery and intermediate reproducibility or inter-assay accuracy.

The high prevalence values of AFM1 in cheeses of both origins, indicate that both El Salvador and Nicaragua are endemic to the contamination of dairy products by that mycotoxin; however, the average contents found in this work do not exceed those reported in other geographical areas such as the Middle East.

The prevalence of cases that exceed the limit of 0.050 μg/kg and the average AFM1 contents in cheeses vary seasonally, reaching higher measurements during the season with lower values of rainfall and relative humidity, while the lowest prevalence was recorded during the season with more accumulated rainfall and greater relative humidity, regardless of the country of origin of the dairy. This seasonal variation may be due to rain shortage conditions that are associated with the increase in dairy contamination by AFM1, precisely because they promote the growth of aflatoxicogenic fungi in crops that serve as raw materials to produce feedstuffs for cattle. In this way, the consumption of contaminated food will cause the temporary increase in AFM1 in milk and its derivatives.

Knowing the seasonal variation of AFM1 in dairy products will allow informed decisions regarding the season and practices that represent less risk of contamination by toxicogenic fungi in crops used to feed livestock, thus preventing contamination by AFM1 and its transfer to dairy.

Funding

This study was entirely supported by Universidad Doctor Andres Bello research budget.

CRediT authorship contribution statement

Oscar Peña-Rodas: Conceptualization, Methodology, Validation, Investigation, Writing - original draft, Writing - review & editing, Visualization. Roxana Martinez-Lopez: Conceptualization, Methodology, Validation, Investigation. Mario Pineda-Rivas: Investigation. Roberto Hernandez-Rauda: Conceptualization, Methodology, Validation, Formal analysis, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

The authors are indebted to laboratory technician Mrs. Martha Idalia Guzmán for her skillful help with laboratory data acquisition, to Mrs. Alejandra Varela, Mrs. Marcela Doradea, Mr. Juan Escuintla, Mr. Samuel Cano, and Mr. Domingo Romero for their prompt assistance with sample gathering. They also wish to thanks Mr. Mario Rivas for his skillful assistance with the collection and statistical processing of meteorological parameters from official databases. This work is dedicated to the memory of Ana Marta Moreno de Araujo, distinguished rector emeritus of Universidad Doctor Andres Bello.

Contributor Information

Oscar Peña-Rodas, Email: oscar.pena@unab.edu.sv.

Roxana Martinez-Lopez, Email: roxana.martinez@unab.edu.sv.

Mario Pineda-Rivas, Email: marioernesto.pineda@unab.edu.sv.

Roberto Hernandez-Rauda, Email: roberto.rauda@unab.edu.sv.

References

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