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. 2020 Nov 22;9(11):1717. doi: 10.3390/foods9111717

Table 4.

The distribution of microbial contaminants that resulted in the rejection of samples across food category based on the reports of the Ministry of Public Health (MoPH) in Lebanon.

Food Categories
Microbial Contaminant Red Meat
N = 1132 (% a)
Poultry Meat
N = 760 (%)
Dairy
N = 530 (%)
Bakery
N = 52 (%)
Fish
N = 51 (%)
Nuts
N = 40 (%)
Desserts
N = 167 (%)
Spices
N = 387 (%)
Water
N = 94 (%)
Other
N = 121 (%)
Total N (% b) for Each Contaminant p-Value c
Sulfate-reducing bacteria (SRB) 534 (46.2) 391 (33.8) 8 (0.7) 5 (0.4) 11 (0.95) 11 (0.95) 3 (0.3) 159 (13.8) 27 (2.3) 7 (0.6) 1156 (34.7) < 0.001
E. coli 592 (55.3) 200 (18.7) 211 (19.7) 7 (0.7) 8 (0.7) 4 (0.4) 17 (1.6) 8 (0.7) 10 (0.9) 14 (1.3) 1071 (32.1) < 0.001
Aerobic bacteria 190 (26.3) 168 (23.2) 57 (7.9) 26 (3.6) 31 (4.3) - 58 (8.0) 82 (11.3) 69 (9.5) 42 (5.8) 723 (21.7) < 0.001
Coliforms 26 (4.0) 9 (1.4) 253 (38.7) 16 (2.4) 1 (0.2) 6 (0.9) 115 (17.6) 99 (15.1) 71(10.9) 58 (8.87) 654 (19.6) < 0.001
S. aureus 279 (65.2) 43 (10.0) 67 (15.7) 3 (0.7) 8 (1.9) - 18 (4.2) 3 (0.7) 1 (0.2) 6 (1.4) 428 (12.8) < 0.001
Salmonella spp. 126 (32.6) 240 (62.0) 6 (1.6) - 1 (0.3) - 5 (1.3) 2 (0.5) - 7 (1.8) 387 (11.6) < 0.001
Streptococcus spp. 7 (8.9) 3 (3.8) 5 (6.3) - 2 (2.5) - 4 (5.1) 14 (17.7) 39 (49.4) 5 (6.3) 79 (2.4) < 0.001
Listeria monocytogenes 31 (52.5) 13 (22.0) 14 (23.7) 1 (1.7) - - - - - - 59 (1.8) < 0.001
Pseudomonas aeruginosa - - - - - - - - 48 (100.0) - 48 (1.4) < 0.001
Clostridium botulinum 4 (18.2) 2 (9.1) 1(4.5) - 1 (4.5) - 1(4.5) 2(9.1) 1(4.5) 10 (45.5) 22 (0.7) < 0.001
Yeast/fungi 11 (2.6) 8 (1.9) 160 (37.1) 24 (5.6) 3 (0.7) 17 (3.9) 20 (4.6) 151 (35.0) - 37 (8.6) 431 (12.9) < 0.001
Aflatoxin 1 (3.7) - - - - 5 (18.5) - 20 (74.1) - 1 (3.7) 27 (0.8) < 0.001

a Percentages were calculated by dividing the number of samples rejected for each microbial contaminant within each food category to the total number of samples rejected for the same microbial contaminant b Total percentages were calculated by dividing the number of samples rejected for each microbial contaminant to the total number of rejected samples. c p-values were derived from Chi-square tests that were conducted to examine the associations between food categories and each type of microbial contaminant (Yes vs. No).