Food Science and Technology Research
Online ISSN : 1881-3984
Print ISSN : 1344-6606
ISSN-L : 1344-6606
Original papers
Prevalence of Cronobacter spp. in Retail Foods and Farm-associated Environments in Japan
Hirokazu OgiharaNoriko FukudaAoi FujiwaraHodaka SuzukiHiroyuki YamamotoDaisuke KyouiYumiko Okada Shizunobu Igimi
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2019 Volume 25 Issue 2 Pages 265-275

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Abstract

Five hundred and sixteen food samples retailed in Japan were examined for viable bacterial counts (VBC), coliforms, and Cronobacter spp. Cronobacter spp. was detected in 12.4% (64/516) of the total food samples, comprising 15.4% (35/228) in agricultural products, 14.7% (28/190) in livestock products, 1.5% (1/65) in marine products, and 0% in infant foods (0/33). Cut and packed vegetables for cooking, flours, and beef offal showed the high prevalence of Cronobacter spp., whereas raw milk, marine products, and infant foods showed the lower prevalence. High correlations were observed between the levels of VBC and the prevalence of Cronobacter spp., and the levels of coliform and the prevalence of Cronobacter spp. in some types of food sample. Cronobacter spp. was seen in bovine feces (37.5%, 3/8), soil (16.7%, 4/24) and composts (10.0%, 1/10). These results suggested that the bovine feces might be one of the potent natural habitats of Cronobacter spp.

Introduction

Cronobacter spp., former Enterobacter sakazakii, are Gram-negative, non-spore forming rods, belonging to Enterobacteriaceae family (Farmer et al., 1980; Iversen et al., 2007; Iversen et al., 2008; Forsythe, 2010).

Cronobacter infection is a rare disease, and approximately 4–6 cases per year occur in the USAi). Premature infants and low birth weight infants are recognized as high-risk groups; however, other age groups could also be infected with the pathogen. Cronobacter causes infantile sepsis, necrotizing enteritis and meningitis (Mutjens et al., 1983; Simmons et al., 1989; van Acker et al., 2001).

Powdered infant formula (PIF) is considered one of the most suspicious vehicles involved in the transmission of Cronobacter infections to infants (Drudy et al., 2006). Sporadic cases and outbreaks of Cronobacter infection, probably caused by PIF, were reported from the EU countries, the USA, and other countries (Drudy et al., 2006). A few cases of Cronobacter infection in low birth weight infants were also reported from Japan, although their routes of infection remained unclear (Ibuki et al., 2009; Teramoto et al., 2010).

In Japan, Cronobacter spp. including E. sakazakii contamination has been reported in PIF and other foods; however, the information is very limited. Oonaka et al. reported the prevalence of E. sakazakii in domestic and imported PIF in Japan, and showed that the prevalence was 6.6% (4/61) and 5.7% (5/88) in the domestic and imported PIF, respectively (Oonaka et al., 2010). Ogihara et al. examined the contamination of Cronobacter spp. in dried foods, and reported that spices, herbs and dried vegetables were highly contaminated with Cronobacter spp. (Ogihara et al., 2014) . Ueda reported that the prevalence of Cronobacter spp. was higher in fresh vegetables compared with dried foods and soil samples from agricultural fields were sometimes contaminated with this bacrterial species (Ueda, 2017). However, the contamination risks and routes are not completely revealed as described above, and more information about Cronobacter spp. habitats is needed.

In this study, we surveyed the prevalence and levels of contamination of Cronobacter spp. and other bacteria in various retail food samples and farm-associated environments, and aimed to clarify the natural habitats of the microorganisms.

Materials and Methods

Samples    Two hundred and twenty eight agricultural products were collected and the level of bacterial contamination was determined. In detail, 50 whole vegetables (including 14 leafy vegetables, 10 root vegetables, 16 sprouts, and 10 mushrooms), 100 cut and packed vegetables for salad (including 15 single type of vegetable, 83 mixed salad vegetables), 30 cut and packed vegetables for cooking (including 23 vegetables for stir-frying, 7 vegetables for simmering), and 48 flours (including 6 buckwheat, 6 wheat, 5 rice, 2 corn, 2 oat, 2 rye, and 25 other types of flours) were collected and examined. All the samples except raw milk samples were purchased in Tokyo and Kanagawa Prefectures during April 2013 and March 2017. Raw milk samples were obtained from farm in Kanagawa Prefecture during the same period. Regarding livestock products, 190 samples were examined: 60 raw minced/cut meat (including 8 beef, 31 pork, 15 chicken, and 6 mix of beef and pork meat), 68 beef offal (including 27 stomachs, 10 small intestines, 14 large intestines, 3 rectums, 8 hearts, and 6 livers), 26 pork offal (including 4 stomachs, 2 small intestines, 5 large intestines, 7 hearts, 4 livers, 3 uteri, and 1 lung), 6 chicken offal (including 3 gizzards, 2 livers, and 1 heart), and 30 raw milk samples. Sixty five marine products, consisting of 8 whole raw fish (including 2 horse mackerel, 2 flatfish, 4 other fish), 8 sashimi (including 2 tuna, and 6 other fish), and 49 marinated fish for cooking (including 7 sardine, 7 salmon, 5 marlin, 5 mackerel, 2 saury, 2 yellowtail, and 21 other fish) and 33 infant foods were also examined. All samples of whole vegetables, cut and packed vegetables for salad consisted with single vegetable, cut and packed vegetables for cooking, rice, beef offal except 2 liver , pork and chicken offal, raw milk and infant foods were produced in Japan. About 2/3 of cut and packed vegetables for salad consisted with more than 2 types of vegetables were domestic foods, and the rest were mixed with domestic and imported vegetables. Flour samples and marine products were domestic and imported foods. From farm-associated environments, 24 soil and 10 compost, and 8 bovine feces samples were examined in this study. The soil samples were collected from farms in Tokyo and Kanagawa Prefectures from March 2015 to March 2016. The compost samples and bovine feces were collected in Kanagawa Prefecture during the same periods.

Isolation of viable bacterial counts (VBC) and coliforms    Food samples were cut into small pieces with sterilized scissors. Ten grams or 25 g of each sample was weighed and suspended in 9 volumes of sterilized buffered peptone water (BPW; Oxoid Ltd., Basingstoke, Hampshire, UK), and homogenized for 1 min using a stomacher (Stomacher-400, Seward Medical, London, UK).

To determine the VBC, first, four 250 µL aliquots of initial suspension were plated onto 4 Plate Counts Agar (PCA; Difco, Detroit, MI) plates, as a result, 1 mL of initial suspension was used in total. Then, a part of the initial suspension was serially diluted with BPW, and 100 µL of each dilution was plated onto PCA plates. After incubation at 37 °C±1 °C for 48 h, the number of colonies was determined. All dilutions were plated in duplicate, and the averages of colony number were used as results.

To determine the number of coliforms, the samples prepared above were plated onto of XMG plates (XMG; NISSUI PHARMACEUTICAL CO., LTD., Tokyo, Japan) in the same method as VBC. After 24 h incubation at 37 °C±1 °C, the number of typical colonies with red color was calculated.

Isolation of Cronobacter spp. by qualitative and quantitative methods    Detection of Cronobacter spp. was performed according to the method of ISO/TS 22964:2006 (ISO, 2006). Briefly, 10 g or 25 g of each sample was suspended in 9 volumes of sterilized BPW, and homogenized for 1 minute using a stomacher. The homogenate was incubated at 37 °C±1 °C for 18 h for pre-enrichment. After incubation, 0.1 mL of the pre-enrichment culture was inoculated into 10 mL of mLST-vancomycin medium (LVM; Oxoid), followed by incubation at 44 °C±1 °C for 24 h. One loop of incubated LVM was streaked onto Chromocult Enterobacter sakazakii agar plate (ESA; Merck KGaA, Darmstadt, Germany) and incubated at 44 °C±1 °C for 24 h. Five typical colonies with blue-green color were selected and steaked onto Tryptic soy agar plates (TSA; Difco). After incubation at 25 °C±1 °C for 48 h, the colonies were examined for the confirmation test.

To enumerate Cronobacter spp., a part of initial suspension and dilution prepared for VBC and coliforms were plated onto ESA plates in the same manner as VBC plates. After incubation at 44 °C±1 °C for 24 h, the number of typical colonies was counted.

For confirmation of Cronobacter spp. according to ISO/TS 22964:2006, 5 typical colonies on ESA agar plates were used. In case that the presumptive colonies were less than 5, all of the typical colonies were examined.

Stastical analysis    Relationship between VBC and Cronobacter spp. contamination and between coliform counts and Cronobacter spp. contamination were statistically compared. The samples in each food category, such as vegetables, flours, and meat and offal, were divided as “higher” (approximately higher-half) and “lower” (approximately lower-half) contamination groups based on the VBC or coliform counts. The levels of “higher” and “lower” contamination were different among the food category. And the numbers of Cronobacter spp. positive samples in each group were compared by using 2x2 Fisher's exact test.

Results

VBC of 516 food samples ranged from less than the detection limit (< 101 CFU/g) to 108 CFU/g (Table 1). The prevalence of VBC in whole vegetables, cut and packed vegetables for salad and cooking, raw meat, and offal was relatively high, and the prevalence of VBC in flours, raw milk, marine products, and infant foods was relatively low. Especially, half of the infant food samples showed VBC below the detection limit. Regarding coliforms, which are used as an indicator of fecal contamination, their prevalence was similar to that of VBC; bacterial contamination levels in raw milk and infant foods were low (Table 2).

Table 1. Contamination levels of viable bacterial counts in food samples
Sample type Number of samples Level of contamination (CFU/g)
<101 101 102 103 104 105 106 107 108
Agricultural products
    Whole vegetables 50 1 8 9 12 19 1
    Cut and packed vegetables for salad 100 9 35 35 18 3
    Cut and packed vegetables for cooking 30 2 15 13
    Flours 48 5 6 19 8 9 1
Total 228 5 6 19 18 52 47 45 35 1
Livestock products
    Raw minced meat 60 2 4 18 20 14 1 1
    Beef offal 68 5 24 20 18 1
    Pork offal 26 9 11 6
    Chicken offal 6 3 2 1
    Raw milk 30 6 13 4 4 3
Total 190 6 13 6 16 56 52 38 2 1
Marine products
    Raw fish 8 1 3 3 1
    Sashimi 8 1 3 2 2
    Marinated fish for grill 49 2 1 4 12 16 13 1
Total 65 3 1 8 17 21 14 1
Others
    Infant foods 33 16 13 3 1
Total 33 16 13 3 1
Table 2. Contamination levels of coliforms in food samples
Sample type Number of samples Level of contamination (CFU/g)
<101 101 102 103 104 105 106 107
Agricultural products
    Whole vegetables 50 7 3 5 13 9 13
    Cut and packed vegetables for salad 100 1 6 10 29 39 13 2
    Cut and packed vegetables for cooking 30 1 2 9 17 1
    Flours 48 33 6 2 5 2
Total 228 41 12 15 40 56 31 32 1
Livestock products
    Raw minced meat 60 1 5 11 23 14 5 1
    Beef offal 68 6 12 18 15 11 6
    Pork offal 26 1 1 8 13 3
    Chicken offal 6 2 2 1 1
    Raw milk 30 29 1
Total 190 37 21 31 47 39 14 1
Marine products
    Raw fish 8 3 1 1 2 1
    Sashimi 8 6 1 1
    Marinated fish for grill 49 21 9 11 4 2 2
Total 65 30 10 13 7 2 3
Others
    Infant foods 33 33
Total 33 33

Agricultural products were highly contaminated with Cronobacter spp. (Table 3). In whole vegetables, 2 out of 10 (20%) root vegetables and 7 out of 16 (43.8%) sprouts were contaminated with Cronobacter spp. On the other hand, 14 leafy vegetables and 10 mushrooms were shown negative to this bacterial species by the qualitative method. Cut and packed vegetables for salad were mainly consisted with lettuce and cabbage, and showed a middle level of contamination. Cut and packed vegetables for cooking were mainly consisted with sprouts, and showed high prevalence (26.7%). In flours, Cronobacter spp. were detected in 4 buckwheat, 1 wheat, 1 rice, and 4 other flour samples (1 wheat bran, 1 seed mix, 1 cereal, and 1 potato powders) samples. Regarding livestock products, the prevalence of Cronobacter spp. was relatively high, except for raw milk. Especially, the prevalence of Cronobacter spp. in beef minced meat, gastrointestinal tract of cattle and pigs was above 25%, although the contamination levels were below the detection limit by the quantitative method. The prevalence of Cronobacter spp. in marine products was low, and negative for all infant food samples tested in this study. The prevalences of Cronobacter spp. were not different between domestic and imported products in most food categories, except for buckwheat (data not shown). Buckwheat samples showed the positive results in 4 out of 6 samples (66.7%), and 3 out of 4 positive samples were imported (data not shown).

Table 3. Prevalence of Cronobacter spp. in foodstuffs
Category Number of samples Qualitative analysis
    Sample type
        Detail
Number of positives Percentage ofpositives
Agricultural products 228 35 15.4
    Whole vegetables 50 9 18.0
        leafy vegetables 14 0 0.0
        root vegetables 10 2 20.0
        sprouts 16 7 43.8
        mushrooms 10 0 0.0
    Cut and packed vegetables for salad 100 8 8.0
        single 15 0 0.0
        mixed 85 8 9.4
    Cut and packed vegetables for cooking 30 8 26.7
        for stir frying 23 6 26.1
        for simmering 7 2 28.6
    Flours 48 10 20.8
        buckwheat 6 4 66.7
        wheat 6 1 16.7
        rice 5 1 20.0
        corn 2 0 0.0
        oat 2 0 0.0
        rye 2 0 0.0
        others 25 4 16.0
Livestock products 190 28 14.7
    Raw minced/cut meat 60 6 10.0
        beef minced/cut meat 8 2 25.0
        pork minced/cut meat 31 2 6.5
        chicken minced/cut meat 15 1 6.7
        beef and pork minced meat 6 1 16.7
    Beef offal 68 17 25.0
        stomach 27 7 25.9
            rumen (1st compartment) 5 1 20.0
            reticulum (2nd compartment) 8 2 25.0
            omasum (3rd compartment) 3 0 0.0
            abomasum (4th compartment) 11 4 36.4
        small intestine 10 3 30.0
        large intestine 14 6 42.9
        rectum 3 0 0.0
        heart 8 0 0.0
        liver 6 1 16.7
    Pork offal 26 4 15.4
        stomach 4 2 50.0
        small intestine 2 0 0.0
        large intestine 5 1 20.0
        heart 7 1 14.3
        liver 4 0 0.0
        uterus 3 0 0.0
        lung 1 0 0.0
    Chicken offal 6 1 16.7
        gizzard 3 0 0.0
        liver 2 1 50.0
        heart 1 0 0.0
    Raw milk 30 0 0.0
Marine products 65 1 1.5
    Raw fish 8 0 0.0
        horse mackerel 2 0 0.0
        flatfish 2 0 0.0
        others 4 0 0.0
    Sashimi 8 0 0.0
        tuna 2 0 0.0
        others 6 0 0.0
    Marinated fish for cooking 49 1 2.0
        sardine 7 1 14.3
        salmon 7 0 0.0
        marlin 5 0 0.0
        mackerel 5 0 0.0
        saury 2 0 0.0
        yellowtail 2 0 0.0
        others 21 0 0.0
Others 33 0 0.0
    Infant foods 33 0 0.0
Total 516 64 12.4

By the quantitative method, most of the samples (501/516) were below the detection limit (Table 4). The CFUs ranged from 101 to 104 CFU/g, were detected only in 18 samples of agricultural products, 2 samples of livestock products, and 1 sample of marine products.

Table 4. Contamination levels of Cronobacter spp. in food samples
Category Quantitative analysis
    Sample type Number of samples Level of contamination (CFU/g)
<101 101 102 103 104
Agricultural products 228 211 7 7 2 1
    Whole vegetables 50 41 4 4 1
    Cut and packed vegetables for salad 100 98 2
    Cut and packed vegetables for cooking 30 26 1 2 1
    Flours 48 46 1 1
 
Livestock products 190 188 2
    Raw minced meat 60 59 1
    Beef offal 68 68
    Pork offal 26 25 1
    Chicken offal 6 6
    Raw milk 30 30
Marine products 65 64 1
    Raw fish 8 8
    Sashimi 8 8
    Marinated fish for cooking 49 48 1
Others 33 33
    Infant foods 33 33
Total 516 496 10 7 2 1

The relationship between VBC and Cronobacter spp. contamination was shown in Table 5.1. The levels of VBC seemed to correlate with the percentages of Cronobacter spp. positive. For example, as to the vegetables, including whole vegetables, cut and packed vegetables for salad, and cut and packed vegetables for cooking, the samples with higher (≧106 CFU/g) VBC showed significantly (p < 0.01) more Cronobacter spp. contamination compared with those with lower (<106 CFU/g) VBC (Table 5.2). As to the flours, the samples with higher (≧103 CFU/g) VBC showed significantly (p < 0.01) more Cronobacter spp. contamination compared with those with lower (<103 CFU/g) VBC, and as to the meat and offal, including raw minced meat, beef, pork and chicken offal, the samples with higher (≧105 CFU/g) VBC showed significantly (p < 0.05) more Cronobacter spp. contamination compared with those with lower (<105 CFU/g) VBC (Table 5.2).

Table 5.1 Relationship between viable bacterial counts and Cronobacter spp. contamination in food samples
Table 5.2 Relationship between viable bacterial counts and Cronobacter spp. contamination in food samples
Viable bacterial counts (CFU/g) No. of samples No. of Cronobacter positive % of Cronobacter positive p value by Fisher's exact test
Vegetables
≥106 81 20 24.7% 0.0002
<106 99 5 5.1%
Flours
≥103 18 9 50.0% 0.0002
<103 30 1 3.3%
Meat and offal
≥105 93 22 23.7% 0.0197
<105 67 6 9.0%

The relationship between coliform counts and Cronobacter spp. contamination was shown in Table 6.1. The levels of coliform counts also seemed to correlate with the percentages of Cronobacter spp. positive. For example, as to the vegetables, the samples with higher (≧105 CFU/g) coliform counts showed significantly (p < 0.01) more Cronobacter spp. contamination compared with those with lower (<105 CFU/g) coliform counts (Table 6.2). As to the flours, the samples with higher (≧103 CFU/g) coliform counts showed significantly (p < 0.01) more Cronobacter spp. contamination compared with those with lower (<103 CFU/g) coliform counts, and as to the meat and offal, the samples with higher (≧104 CFU/g) coliform counts showed not significant but nearly significant (p = 0.0510) more Cronobacter spp. contamination compared with those with lower (<105 CFU/g) coliform counts (Table 6.2).

Table 6.1 Relationship between coliform counts and Cronobacter spp. contamination in food samples
Table 6.2 Relationship between coliform counts and Cronobacter spp. contamination in food samples
Coliform counts (CFU/g) No. of samples No. of Cronobacter positive % of Cronobacter positive p value by Fisher's exact test
Vegetables
≥105 64 19 29.7% 0.00001
<105 116 6 5.2%
Flours
≥103 7 5 71.4% 0.0025
<103 41 5 12.2%
Meat and offal
≥104 54 14 25.9% 0.0510
<104 106 14 13.2%

The prevalence of Cronobacter spp. from the soil of farms, composts and bovine feces was shown in Table 7. Cronobacter spp. contamination was detected in soils, composts and bovine feces, although the levels of contamination were below the detection limit. Especially, bovine feces showed a prevalence (37.5%) of Cronobacter spp. higher as compared to that of the others.

Table 7. Prevalence of Cronobacter spp. isolated from farm-associated environments
Sample type No. of samples No. of Cronobacter positive % of Cronobacter positive
Soil 24 4 16.7
Composts 10 1 10.0
Bovine feces 8 3 37.5
Total 42 8 19.0

Discussion

Despite many studies of the prevalence of Cronobacter spp. in many foods and environments, its natural habitats remain unknown. In this study, the prevalence of Cronobacter spp. in varieties of foods and farm-associated environments was investigated for determination of the contamination level of foods in Japan, and investigation of natural habitats of Cronobacter spp.

Previous studies showed that sprouts were often contaminated with this bacterial species. Berthold-Pluta et al. suggested that sprouts are one of natural habitat of Cronobacter spp. (Berthold-Pluta et al., 2017). Baumgartner et al.(2009) detected Cronobacter in 14 out of 23 samples comprising sprouts, fresh herbs and salad. Among them, 7 positive samples were sprouts (Baumgartner et al., 2009). Kim et al. (2009) reported the prevalence of Cronobacter spp. in mixed sprout and radish sprout to be 13.3% and 0%, respectively (Kim et al., 2009). Hochel et al. showed that 1 out of 9 wheat sprouts was positive to Cronobacter spp. (Hochel et al., 2012). In our study, sprouts also showed a very high prevalence rate (43.8%) of Cronobacter spp. Cut and packed vegetables for cooking, which mainly contained bean sprouts, were also highly contaminated by this bacterial species.

The prevalence of Cronobacter spp. in buckwheat flour was higher than that in other types of flour. However, there was only one report concerning the detection of Cronobacter spp. in buckwheat flour (Li et al., 2014). Further studies are needed to evaluate the risk of contamination of Cronobacter spp. in buckwheat flour. From these, the prevalence rates of Cronobacter spp. in retail foods in Japan are at similar levels as that found in the other countries.

Previous studies have reported the detection of Cronobacter spp. in ground beef, for example, Kandhai et al. (2010) detected Cronobacter spp. in 2 out of 141 samples in the Netherlands (Kandhai et al., 2010) , and Mohammed et al. detected the organism in 8 out of 50 samples in Egypt (Mohammed et al., 2015). Cronobacter spp. were also reported to be detected in feed, feces and carcasses of cattle (Molloy, 2009; McAuley, 2014), and soil samples from farm, flower beds and sandboxes (Ueda, 2017). This study revealed that Cronobacter spp. was significantly isolated from the intestines of cattle and pigs, feces of cattle, soil of farms and composts. These findings suggest that one of the natural habitats of Cronobacter spp. might be the gastrointestinal tract of livestock. Actually, 3 out of 8 feces samples from cow were positive with Cronobacter spp. in our preliminaly research. Further study is needed to investigate the relationship between feces of livestock, soil, and other environmental samples in the agricultural fields.

Furthermore, higher VBC and coliform counts correlated with the percentages of Cronobacter spp. contamination. It is considered that viable bacteria and coliforms might be an index for Cronobacter spp. contamination in some types of food.

Acknowledgements    This work was supported by Ministry of Health, Labour and Welfare under Health Labour Sciences Research Grant (No. H23-syokuhin-ippan-010). This work was also partially supported by the Japan Society for the Promotion of Science (JSPS) under Grant-in-Aid for Scientific Research (C) (KAKENHI) Grant No. 15K07733.

References
 
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