Out of the 264 samples, fifty-four
S. aureus were isolated and all the phenotypically detected
S. aureus were
nuc gene bearers, with percentage positivity for this gene as 100.0% (Fig 3). The prevalence of
S. aureus was 25.0%, 15.27% and 14.58% in RTE vegetarian, non-vegetarian foods and serving environment, respectively, with overall prevalence of 20.45% as shown in Table 2.
Within the RTE vegetarian foods, prevalence of
S. aureus in samosa was 27.7%, similar and consistent to 17.0%, reported by
Siddabathuni et al., (2019) from India. Higher prevalence had been reported as 46.67% by
Khaledian et al., (2020) from Iran. Lower prevalence values had been reported by
Urmi et al., (2021) at 6.67% .Paneer pakora samples showed
S. aureus prevalence of 13.8%, similar to 12.5% by
Sabuj et al., (2018) from Bangladesh. While lower prevalence value reported by
Tambekar et al., (2008) was 7.0%. French fries revealed
S. aureus prevalence of 27.7 %, akin to 21.67% by
Ballah et al., (2022). Higher prevalence value has been reported as 40.0% by
Singh et al., (2025) from India. Cake/pastry samples showed
S. aureus prevalence of 30.5%, similar to 31.6%, reported by
Oh et al., (2007) from Korea. The overall prevalence of
S. aureus in RTE vegetarian foods was 25.0%, similar to 25.1%, reported by
Yang et al., (2016) from China. The maximum prevalence of
S. aureus was recorded in cake/pastry, followed by samosa and french fries, while panner pakora showed lowest prevalence. The reason behind the variation lies in the poor sanitation and food handling practices along with the post-frying contamination (for the fried items).
In RTE non-vegetarian foods, fried chicken samples showed a prevalence of 20.83%, similar to 26.7% reported by
Ghanem et al., (2025). Lower value to this was 6.42% by
Madahi et al., (2014) from Iran. The higher prevalence reported was 38.82% by
Thakur et al., (2023) in India. Chicken pakora samples revealed a lower prevalence (8.33%), similar to 6.8% reported by
Mesbah et al., (2021) from Iran. Fried fish samples showed a prevalence of 16.6%, aligning with
Sivaraman et al., (2022) from India at 17.74%. The overall prevalence of
S. aureus in RTE non-vegetarian foods was 15.27%, quite similar to 13.6%, reported by
Zwe et al., (2025) from Singapore. Higher prevalence of 40% was recorded by
Thakur et al., (2023) from India. The variations across studies may be attributed to differences in cooking temperature, duration and post-cooking handling.
Within serving environment samples, hand swabs revealed a prevalence of 12.5%. The higher value with to this was 30.0% found by
Saber et al., (2022) from Egypt. The utensil samples harbouring
S. aureus contamination showed a prevalence of 16.6%, which is absolutely the same as reported by
Tasanapak et al., (2023) from Thailand. Higher prevalence value 50.62% was reported by
Shahid et al., (2021) from Bangladesh.
The overall prevalence of
S. aureus from RTE foods and serving environment was 20.45% , very similar and consistent with 21.67% from
Ballah et al., (2022) in Bangladesh. In comparison to these results a higher prevalence of 58% was found within the findings of an Indian study reported by
Kaur and Kahlon (2017), while the lowest prevalence found to be 15.42% in RTE foods of Iran in a study by
Mesbah et al., (2021).
After careful assessment of the prevalence results of vegetarian and non- vegetarian food categories, noteworthy observations were made.
S. aureus prevalence in RTE vegetarian foods (25.0%) was higher than that found in RTE non-vegetarian foods (15.27%). The underlying reason attributable to this variation lies in the customer behaviour and food culture dynamics (that varies from one place to the other). Moreover, the food service establishments catering non-vegetarian foods take utmost precautions in handling and processing of these non- vegetarian attributes to cater to a larger audience, preferred for invaluable taste and unique delicacy as a rich source of protein. The vegetarian items are generally more perishable by nature, due to poor handling practices and inadequate sanitation.
In the study, by CRA, total biofilm formers were 16.6%, similar to the findings of
Ballah et al., (2022) from Bangladesh at 20%. Within Chicken products , the biofilm formers using CRA were 28.5%, which is dissimilar and inconsistent with the findings of the study by
Thakur et al., (2024) 60.0%. In cake/pastry, biofilm formers were 9.09%. In food contact surfaces also, the biofilm formers using CRA were only 25.0%. Using this method, 29.6% isolates were characterized as strong which is consistent with 20.0% as studied by
Ballah et al., (2022). Similarly, 48.1% isolates were regarded as moderate biofilm formers which is lower to and inconsistent with the findings of
Ballah et al., (2022) 77.0% from Bangladesh. Moreover 22.2% isolates were regarded as weak biofilm formers, having dissimilarity and inconsistency with findings that are lower as in 3.0% as in
Ballah et al., (2022).
More number of biofilm formers were found in RTE vegetarian foods (66.6%) as compared to that in RTE non-vegetarian foods (19.04%) , while the lowest number of biofilm formers were found in serving environment (14.28%). The reasons attributable to more biofilm formers in RTE vegetarian foods lies with the inadequate food handling practices (Fig 4 and Table 3).
Antibiotic sensitivity test (ABST)
The total biofilm formers (77.7%) were further subjected to ABST against 12 antibiotics as shown in Table 4. Penicillin recorded a high resistance of 81.0%. similar to that of
Mesbah et al., (2021) at 85.93% from Iran. Even higher resistance, reaching 93%, was reported by
Esemu et al., (2023) in Cameroon. Resistance to ampicillin was also high at 66.7%. Extremely higher resistance value of 100.0% was observed by
Sabuj et al., (2018) from Bangladesh. Lower resistance levels, around 31.0%, were found by
Kaur and Kahlon (2017) from Mewar and
Verma et al., (2023). The resistance to tetracycline was 40.5%. similar to 44.82% by
Kaur and Kahlon (2017). Higher resistance to this value was recorded as 85.93% by
Mesbah et al., (2021), while lower resistance at 40.6% was reported by
Xing et al., (2014). For oxacillin, a resistance of 69.0% was observed, which is more than 5.56% as reported by
Esemu et al., (2023). Resistance to methicillin was 71.40%, lower values were reported as 12.2% by
Shahid et al. (2021) and 23.4% by
Saber et al., (2022) from Egypt.
No resistance to vancomycin was detected, consistent with
Esemu et al., (2023) from Cameroon. However,
Puah et al., (2018) from Malaysia, showed a slightly higher resistance of 5.8% in his study. Chloramphenicol showed low resistance of 11.9%, similar to 10.5%, reported by
Moges et al., (2024). Higher resistance to this finding was 20.83%, found by
Esemu et al., (2023), while absolutely 0.0% resistance was reported by
Urmi et al., (2021), from Bangladesh. Absolutely 0.0% resistance was found by
Esemu et al., (2023). Resistance to gentamicin was 11.9%, consistent with 25.0%, reported by
Urmi et al., (2021). Higher resistance to this value at 30.56% was observed by
Esemu et al., (2023), while absolutely 0.0% was reported by
Khaledian et al., (2020) from Iran. For cefotaxime, the resistance was 21.4%, which is very similar to the findings reported as 25.0% by
Urmi et al., (2021) from Bangladesh. Higher resistance at 60.0% was reported by
Siddabathuni et al., (2019), lower resistance value of 2.0% was reported by
Zwe et al., (2025). Resistance to erythromycin was 35.7%, similar with 35.5%, as revealed by
Alelign et al., (2023) from Ethiopia. Resistance of 100.0% was reported by
Urmi et al., (2021).Resistance to ciprofloxacin was 11.9%, similar to 10.8%, by
Moges et al., (2024). However, higher resistance at 44.82%, was recorded by
Kaur and Kahlon (2017), whereas absolutely 0.0% was found by
Urmi et al., (2021). Multi-drug resistant
S. aureus revealed as 57.14%,were similar and consistent with the findings reported as 62% by
Kaur and Kahlon (2017) from India. On the other side, lower value of 38.9% MDR
S. aureus was identified by
Li et al. (2019) from China.
Sixteen strong biofilm formers were subjected to E-Test for MIC determination against eight antibiotics. MIC for tetracycline (0.12-1.0 µg/ml), oxacillin (0.12-0.5 µg/ml), vancomycin (0.12-2.0 µg/ml), ofloxacin (0.12-1.0 µg/ml), gentamicin (0.12-1.0 µg/ml) were recorded. The highest MIC value was recorded with Chloramphenicol in the range (2-16 µg/ml). MIC for erythromycin was in the range (0.2-1.0 µg/ml) , which is lower than 16 µg/ml as per an Indian study by
Kaur and Kahlon (2017) and also lower than 2 µg/ml as per study by
Camellini et al., (2021). Ciprofloxacin showed the lowest MIC range (0.12-0.5 µg/ml), but somewhat similar to the range (0.25-1 mcg/ml) as per
Camellini et al., (2021) from Italy.