Next Article in Journal
Comparison of In Vitro Methods for Assaying the Antibacterial Activity of a Mix of Natural Essential Oils Against Zoonotic Bacteria
Previous Article in Journal
Jet-Breaking Extrusion of Alginate–Chitosan Capsules for Encapsulation of Plant Growth–Promoting Extremophilic Fungi
Previous Article in Special Issue
Potential Use of Selected Natural Anti-Microbials to Control Listeria monocytogenes in Vacuum Packed Beef Burgers and Their Impact on Quality Attributes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Communication

Microbiological Quality and Presence of Salmonella spp. in Broiler Carcasses with and Without Visible Gastrointestinal Contamination During Industrial Processing

by
Bruno Leandro de Almeida Brito
1,
Rafaela Assis Machado
1,
João Luís Batista de Jesus
1,
Francisco Yan Tavares Reis
1,
Isabela Pádua Zanon
1,
Monique Ribeiro Tiba Casas
2,
Rodrigo Otávio Silveira Silva
1,
Henrique César Pereira Figueiredo
1,
Tadeu Chaves de Figueiredo
1,
Marcelo Resende de Souza
1 and
Silvana de Vasconcelos Cançado
1,*
1
Escola de Veterinária, Universidade Federal de Minas Gerais (UFMG), Avenida Antônio Carlos, 6627, Belo Horizonte 30123-970, Brazil
2
Centro de Bacteriologia (NDEI), Instituto Adolfo Lutz, Avenida Doutor Arnaldo, 351, Pacaembu, São Paulo 01246-000, Brazil
*
Author to whom correspondence should be addressed.
Microorganisms 2025, 13(5), 1124; https://doi.org/10.3390/microorganisms13051124
Submission received: 28 April 2025 / Revised: 11 May 2025 / Accepted: 12 May 2025 / Published: 14 May 2025
(This article belongs to the Special Issue Epidemiology, Prevention and Control of Foodborne Microbial Pathogens)

Abstract

:
The industrial processing of broiler chickens has become increasingly automated to scale up meat production. However, certain procedures may cause rupture of the gastrointestinal tract, contaminating the products. The objective of this study was to evaluate the efficiency of the removal of visible contaminated broiler carcasses from the slaughter line based on their microbiological quality compared to non-contaminated ones. Carcasses were analyzed for Escherichia coli and aerobic mesophilic microorganisms counts, as well as Salmonella spp. detection. Carcasses with gastrointestinal contamination had significantly higher counts of aerobic mesophilic microorganisms and E. coli than those without contamination. However, carcasses without visible contamination also showed high counts of bacteria, indicative of the hygiene and sanitary concerns during slaughter. Salmonella spp. were detected in both types of carcasses, with no significant difference in the frequency of positive samples. The most frequently identified serovar was Salmonella Minnesota. The most frequently detected bacteria were E. coli, Klebsiella pneumoniae, Citrobacter freundii, and Pseudomonas aeruginosa. In conclusion, both contaminated and non-contaminated carcasses exhibited high bacterial counts, including potentially pathogenic microorganisms, highlighting the need for post-evisceration steps to reduce microbial contamination.

1. Introduction

Advancements in broiler slaughter technologies and procedures have been essential for improving the scale of poultry meat production. However, automated evisceration systems can lead to mechanical rupture of the gastrointestinal tract, resulting in contamination of carcasses, equipment, and surfaces by undesirable microorganisms [1,2].
The microbiota of the gastrointestinal tract in broiler chickens plays essential roles in digestion and immune system regulation. However, it can also harbor pathogenic microorganisms, such as Salmonella spp. and Escherichia coli [3].
The microbiological quality of poultry carcasses can be assessed by counting aerobic mesophilic microorganisms, which indicate the general hygienic conditions of processing. Additionally, testing for the presence of E. coli and Salmonella spp. serves as an indicator of sanitary conditions [3].
Outbreaks of gastroenteritis in humans have been linked to the consumption of chicken meat contaminated with Salmonella. In 2022, the European Union reported 65,208 cases of salmonellosis, leading to hospitalizations. Salmonella Enteritidis accounted for 67.3% of cases, followed by S. Typhimurium at 13.1% [4].
Therefore, the aim of this study was to evaluate the efficiency of the removal of visible contaminated broiler carcasses from the slaughter line based on the microbiological quality of them compared to non-contaminated ones by quantifying aerobic mesophilic bacteria and E. coli, as well as detecting Salmonella spp. and determining their serovars. Additionally, the isolated bacteria were identified using proteomic analyses.

2. Materials and Methods

2.1. Sampling

The carcasses were collected from a poultry slaughterhouse under official veterinary inspection. The facility uses an automated evisceration system capable of completely removing the viscera. Immediately after evisceration, 60 broiler carcasses were sampled, 30 with and 30 without visible gastrointestinal contamination on the external surface. Contamination from the entire gastrointestinal tract was considered, including the esophagus, crop, proventriculus, gizzard, and intestines. Sampling was conducted at the beginning, middle, and end of each shift. The collections took place over six weeks, with five carcasses from each category sampled per week. Each carcass was considered a separate replicate. Carcasses with bile contamination were excluded from the study.

2.2. Microbiological Analyses

After collection, each carcass was weighed and aseptically placed in a bag containing 1 mL of 0.1% buffered peptone saline solution per 10 g of carcass weight. The carcass was then rinsed for one minute with 35 inversion movements [5,6]. Aliquots of the rinsing liquid were serially diluted from 10−1 to 10−6 for the enumeration of aerobic mesophilic microorganisms and E. coli, with results expressed in colony-forming units (CFU) per gram.
Aerobic mesophilic microorganism counts were performed following the ISO 4833-1 methodology [7]. The plates were incubated at 32 ± 2 °C for 72 h. E. coli enumeration was conducted by inoculating sample dilutions onto Petrifilm® plates (3M™, St. Paul, MN, USA) [8], which were incubated at 35 ± 2 °C for 48 h.
Detection of Salmonella spp. was carried out according to ISO 6579-1 [9]. Aliquots of 25 mL of rinse liquid from each carcass were transferred to 225 mL of 1% peptone saline solution and incubated at 36 ± 2 °C for 18 h. Subsequently, 1 mL was transferred to 10 mL of Muller-Kauffmann Tetrathionate-Novobiocin (MKTTn) broth (Oxoid, Basingstoke, Hampshire, England, UK) and incubated at 36 ± 2 °C for 24 h. Additionally, 0.1 mL was transferred to 10 mL of Rappaport-Vassiliadis broth with soy (RVS) (Hexis, Jundiaí, São Paulo, Brazil) and incubated at 41.5 ± 2 °C for 24 h.
After incubation, aliquots from both MKTTn and RVS broths were streaked onto xylose lysine deoxycholate (XLD) agar (Titan Biotech, New Delhi, India) and Brilliant Green Phenol-Red Lactose Sucrose (BPLS) agar (Oxoid). The plates were incubated at 36 ± 2 °C for 24 h.

2.3. Identification of Salmonella Serotypes

Initially, all isolates were confirmed as Salmonella spp. using conventional biochemical tests. Subspecies determination was based on additional biochemical characteristics [10]. Salmonella serotyping was conducted according to the 9th edition of the White–Kauffmann–Le Minor scheme [11], using agglutination tests with antisera targeting somatic (O) and flagellar (H) antigens. The antisera were prepared at the Laboratory of Enteric Pathogens, Adolfo Lutz Institute (São Paulo, Brazil).

2.4. Proteomic Identification of Microorganisms

For identification of other microorganisms, colonies grown on PCA, BPLS, and XLD with distinct morphological characteristics were identified using Matrix-Assisted Laser Desorption Ionization—Time of Flight (MALDI-TOF) mass spectrometry with Microflex® equipment (Bruker Daltonics, Bremen, Germany). Each selected colony was transferred to a stainless-steel target plate, followed by the addition of 1 µL of 70% formic acid and 1 µL of α-cyano-4-hydroxycinnamic acid before being processed. Prior to measurement, calibration was performed using a bacterial test standard (Escherichia coli DH5 alpha; Bruker Daltonics).
The mass spectrum obtained at each analysis, based on the bacterial ribosomal protein profile, was compared with the database of the manufacturer and analyzed using the MALDI Biotyper Compass Version 4.1.100, with the library BDAL V13.0.0.2 (Bruker Daltonics). Identification scores were interpreted according to the manufacturer’s criteria: scores ≥ 2000 indicated species-level identification, scores between 1700 and 2000 indicated genus-level identification, and scores below 1700 were considered unreliable for identification [12].

2.5. Experimental Design

The experiment followed a randomized block design with two treatments (contaminated and non-contaminated carcasses) and six blocks (weeks), with 30 replicates, each consisting of one carcass. Homoscedasticity was assessed using the Levene test. The counts of aerobic mesophilic microorganisms and E. coli were found to be nonparametric and were transformed into log₁₀ values. Statistical analyses were conducted using ANOVA, with the Fisher test applied at a 5% significance level. The frequency of Salmonella spp. positivity was compared using the Chi-square test. SAS (Statistical Analysis System version 9.4) software was used for data management and statistical analysis.

3. Results and Discussion

3.1. Counts of Microorganisms Indicating Sanitary and Hygienic Quality

Carcasses with gastrointestinal contamination had significantly higher (p < 0.05) counts of aerobic mesophilic microorganisms and E. coli compared to those without contamination (Table 1). Elevated counts of aerobic mesophilic microorganisms indicate hygienic deficiencies during the slaughter process, while higher E. coli levels suggest sanitary inadequacies, as this bacterium is part of the enteric microbiota of birds.
There is limited information in the literature regarding the influence of gastrointestinal contamination on the microbiological quality of chicken carcasses collected immediately after evisceration. In this study, both contaminated and non-contaminated carcasses exhibited high counts of aerobic mesophilic microorganisms and E. coli, suggesting the occurrence of cross-contamination. Cibin et al. [13] reported high microbial counts in broiler carcasses contaminated with gastrointestinal content, showing that those parameters indicate the sanitary conditions of the processing.
Quality Control Programs establish the absence of visible gastrointestinal contamination as a critical limit for hygienic and sanitary safety. However, during slaughter, carcasses with high microbial loads but no visible gastrointestinal content are not excluded from processing.
The contamination of chicken carcasses presents a challenge for inspection services, as carcasses with high microbial loads but no visible contamination may go undetected. As a result, foods derived from these carcasses may enter the market, posing a risk to consumer health.

3.2. Salmonella spp. Detection

Salmonella spp. was detected in 23 (38.4%) of the 60 analyzed carcasses. The pathogen was found in 10 (33.3%) of the 30 carcasses with visible gastrointestinal contamination and in 13 (43.3%) of those without. Chi-square analysis showed no significant difference (p > 0.05) in Salmonella positivity between the two groups. Jimenez et al. [14] also did not observe differences in the frequency of these bacteria when comparing carcasses with and without gastrointestinal contamination.
Out of 612 colonies with suggestive morphotypes from BPLS and XLD media, 60 were confirmed as Salmonella spp., with 22 (44%) originating from carcasses with visible contamination and 28 (56%) from those without. Cross-contamination between carcasses, surfaces, equipment, and handlers may contribute to the spread of Salmonella spp. in the poultry slaughter environment.
The similarity in sample positivity between treatments suggests that visible gastrointestinal contamination is an inadequate parameter for identifying carcasses positive for Salmonella spp.

3.3. Identification of Salmonella Serotypes

Of the 48 colonies positive for Salmonella spp., the following serotypes were identified: Minnesota (n = 25, 52%), Anatum (n = 8, 17%), Ealing (n = 5, 11%), Mbandaka (n = 4, 8%), Agona (n = 2, 4%), Corvallis (n = 1, 2%), Rissen (n = 1, 2%), Soerenga (n = 1, 2%), and Schwarzengrund (n = 1, 2%). Studies that assessed the presence of Salmonella spp. in chicken carcasses also identified the Minnesota serotype at frequencies of 31.4% [15] and 25% [16]; Anatum of 66.7% [17] and 13.7% [18]; and Ealing of 0.4% [19].
Although Brazilian health authorities are particularly concerned about the Typhimurium and Enteritidis serotypes, the detection of Salmonella Minnesota is also alarming. As demonstrated by Habib et al. [16], this serotype, isolated from chicken meat sold in the United Arab Emirates, exhibited multidrug resistance to several antimicrobials, including colistin.
Lin et al. [20] and Boubendir et al. [21] demonstrated that the evisceration stage poses a significant risk for carcass contamination by Salmonella spp. and that contaminated carcasses serve as a primary source of cross-contamination.
Salmonella spp. are recognized as one of the leading causes of foodborne illnesses worldwide [22]. Epidemiological studies identify chicken meat as the primary source of Salmonella spp. transmission to humans [23], given that birds serve as a significant reservoir for these bacteria [24]. Although the serotypes identified in the present study are not Salmonella Enteritidis or S. Typhimurium, non-typhoidal serotypes still possess invasive capabilities and can cause systemic infections [25], leading to substantial public health and economic challenges [26].

3.4. Identification of Contaminating Microorganisms

Of the 1220 colonies with distinct morphotypes, 30 genera, including 49 species of bacteria, were identified (Figure 1). The carcasses were predominantly contaminated with Gram-negative bacteria, including E. coli (95%), Klebsiella pneumoniae (85%), Citrobacter freundii (82%), Pseudomonas aeruginosa (77%), and Enterobacter kobei (53%).
The microbiota of broiler carcasses, including both spoilage and pathogenic bacteria, depends on the occurrence and extent of contamination, as well as the exchange of microorganisms between carcasses [27]. In this study, the high frequency of E. coli can be attributed to its presence as part of the intestinal microbiota of birds, in addition to the potential for slaughter stages to cause rupture of the viscera and contaminate the carcasses. Results of carcasses contaminated with E. coli were also reported by Hussain et al. [28] with 78%, Davis et al. [29] with 87.6%, Gautam et al. [30] with 100%, and Adzitey et al. [31] with 80%. This also explains the high frequency of other bacteria from the Enterobacteriaceae family, such as Citrobacter and Enterobacter, found on the sampled carcasses.
Klebsiella pneumoniae poses a potential risk to humans due to the severity of the associated conditions, which include urinary tract infections, meningitis, pneumonia, and septicemia [32,33]. The presence of this pathogen was reported by Mourão et al. [34] at various points along the poultry production chain, including one-day-old chicks (7%), cleaned poultry houses (36%), pre-slaughter broiler fecal samples (79%), and broiler carcasses (50%).
Pseudomonas aeruginosa, although not a member of the Enterobacteriaceae family, is part of the gastrointestinal microbiota of poultry and has also been reported as an opportunistic pathogen in these animals, being associated with cases of septicemia and diarrhea, as well as causing respiratory symptoms [35].

4. Conclusions

The presence of gastrointestinal contents in broiler carcasses is not a sufficient indicator of safety during processing, as carcasses without visible contamination may still harbor high bacterial counts, including potentially pathogenic microorganisms. Proper sanitary procedures are essential to reduce contamination during the slaughter stages and ensure the production of safe food.

Author Contributions

Conceptualization: R.O.S.S., M.R.d.S. and S.d.V.C.; methodology: M.R.T.C., H.C.P.F., R.O.S.S. and M.R.d.S.; formal analysis: B.L.d.A.B., R.A.M., J.L.B.d.J., F.Y.T.R., I.P.Z. and M.R.T.C.; investigation: R.O.S.S., M.R.d.S. and S.d.V.C.; resources: R.O.S.S. and S.d.V.C.; data curation: B.L.d.A.B. and T.C.d.F.; writing—original draft preparation: T.C.d.F., M.R.d.S. and S.d.V.C.; writing—review and editing: T.C.d.F., M.R.d.S. and S.d.V.C.; supervision: R.O.S.S. and S.d.V.C.; project administration: S.d.V.C.; funding acquisition: S.d.V.C. All authors have read and agreed to the published version of the manuscript.

Funding

The APC was funded by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Programa de Pós-Graduação em Ciência Animal at the Escola de Veterinária, and Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) nº APQ-03904-23.

Institutional Review Board Statement

Ethical review and approval were waived for this study, as it involved only animals already intended for slaughter. Samples were collected directly at a meatpacking facility under official veterinary inspection. Broiler chickens were slaughtered in accordance with humane slaughter principles and were properly stunned using electrical stunning prior to bleeding, in order to minimize suffering.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

The authors acknowledge the support from the Programa de Pós-Graduação em Ciência Animal at the Escola de Veterinária at the Universidade Federal de Minas Gerais (UFMG), the Pró-Reitoria de Pesquisa at the UFMG, the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). The authors also thank the Instituto Adolfo Lutz for their assistance with the analyses.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Chen, Y.; Ai, H.; Li, S. Analysis of correlation between carcass and viscera for chicken eviscerating based on machine vision technology. J. Food Process Eng. 2020, 44, e13592. [Google Scholar] [CrossRef]
  2. Libera, K.; Lipman, L.; Berends, B.R. Small contaminations on broiler carcasses are more a quality matter than a food safety issue. Foods 2023, 12, 522. [Google Scholar] [CrossRef] [PubMed]
  3. Rouger, A.; Tresse, O.; Zagorec, M. Bacterial contaminants of poultry meat: Sources, species, and dynamics. Microorganisms 2017, 5, 50–66. [Google Scholar] [CrossRef] [PubMed]
  4. European Food Safety Authority (EFSA); European Centre for Disease Prevention and Control. The European Union One Health 2022 Zoonoses Report. EFSA J. 2023, 21, e8442. [Google Scholar] [CrossRef]
  5. Line, J.E.; Oakley, B.B.; Stern, N.J. Comparison of cumulative drip sampling with whole carcass rinses for estimation of Campylobacter species and quality indicator organisms associated with processed broiler chickens. Poult. Sci. 2013, 92, 218–224. [Google Scholar] [CrossRef]
  6. United States Department of Agriculture (USDA). Quantitative Analysis of Bacteria in Foods as Sanitary Indicators. MLG 3.02. 2015. Available online: https://www.fsis.usda.gov/sites/default/files/media_file/2021-03/MLG-3.pdf (accessed on 1 January 2025).
  7. ISO 4833-1:2013; Microbiology of the Food Chain—Horizontal Method for the Enumeration of Microorganisms—Part 1: Colony Count at 30 °C by the Pour Plate Technique. International Organization for Standardization: Geneva, Switzerland, 2013.
  8. Association of Official Agricultural Chemists (AOAC). AOAC 998.08-2002: Confirmed Escherichia coli Counts in Poultry, Meats, and Sea Food; AOAC Official Methods 998.08; AOAC International: Rockville, MD, USA, 2002. [Google Scholar]
  9. ISO 6579-1:2017; Microbiology of the Food Chain—Horizontal Method for the Detection, Enumeration and Serotyping of Salmonella. International Organization for Standardization: Geneva, Switzerland, 2017.
  10. Grimont, P.A.; Weil, F.X. Antigenic Formulae of the Salmonella Serovars, 9th ed.; Institut Pasteur: Paris, France, 2007. [Google Scholar]
  11. Issenhuth-Jeanjean, S.; Roggentin, P.; Mikoleit, M.; Guibourdenche, M.; Pinna, E.; Nair, S.; Fields, P.I.; Weill, F.X. Supplement 2008–2010 (no. 48) to the White-Kauffmann-Le Minor scheme. Microbiol. Res. 2014, 165, 526–530. [Google Scholar] [CrossRef] [PubMed]
  12. Singhal, N.; Kumar, M.; Kanayjia, P.K.; Virdi, J.S. MALDI-TOF mass spectrometry: An emerging technology for microbial identification and diagnosis. Front. Microbiol. 2015, 6, 791. [Google Scholar] [CrossRef]
  13. Cibin, V.; Mancin, M.; Pedersen, K.; Barruci, F.; Belluco, S.; Rocatto, A.; Cocola, F.; Ferrarini, S.; Sandri, A.; Baggesen, D.L.; et al. Usefulness of Escherichia coli and Enterobacteriaceae as process hygiene criteria in poultry: Experimental study. EFSA Support. Publ. 2014, 11, 635E. [Google Scholar] [CrossRef]
  14. Jimenez, S.M.; Salsi, M.S.; Tiburzi, M.C.; Pirovani, M.E. A Comparison between broiler chicken carcasses with and without visible faecal contamination during the slaughtering process on hazard identification of Salmonella spp. J. Appl. Microbiol. 2002, 93, 593–598. [Google Scholar] [CrossRef]
  15. Mendonça, E.P.; Melo, R.T.; Nalevaiko, P.C.; Monteiro, G.P.; Fonseca, B.B.; Galvão, N.N.; Giombelli, A.; Rossi, D.A. Spread of the serotypes and antimicrobial resistance in strains of Salmonella spp. isolated from broiler. Food Microbiol. 2019, 50, 515–522. [Google Scholar] [CrossRef]
  16. Habib, I.; Elbediwi, M.; Ghazawi, A.; Mohamed, M.Y.I.; Lakshmi, G.B.; Khan, M. First report from supermarket chicken meat and genomic characterization of colistin resistance mediated by mcr-1.1 in ESBL-producing, multidrug-resistant Salmonella Minnesota. Int. J. Food Microbiol. 2022, 379, 109835. [Google Scholar] [CrossRef] [PubMed]
  17. Chang, Y.J.; Chen, M.C.; Feng, Y.; Su, L.H.; Li, H.C.; Yang, H.P.; Yu, M.J.; Chen, C.L.; Chiu, C.H. Highly antimicrobial-resistant nontyphoidal Salmonella from retail meats and clinical impact in children, Taiwan. Pediatr. Neonatol. 2020, 61, 432–438. [Google Scholar] [CrossRef]
  18. Chang, Y.J.; Chen, C.L.; Yang, H.P.; Chiu, C.H. Prevalence, serotypes, and antimicrobial resistance patterns of non-typhoid Salmonella in food in Northern Taiwan. Pathogens 2022, 11, 705. [Google Scholar] [CrossRef] [PubMed]
  19. Rodrigues, I.B.B.E.; Silva, R.L.; Menezes, J.; Machado, S.C.A.; Rodrigues, D.P.; Pomba, C.; Abreu, D.L.C.; Nascimento, E.R.; Aquino, M.H.C.; Pereira, V.L.A. High prevalence of multidrug-resistant nontyphoidal Salmonella recovered from broiler chickens and chicken carcasses in Brazil. Braz. J. Poult. Sci. 2020, 22, 1–6. [Google Scholar] [CrossRef]
  20. Lin, C.H.; Huang, J.F.; Sun, Y.F.; Adams, P.J.; Lin, J.H.; Robertson, I.D. Detection of chicken carcasses contaminated with Salmonella enterica serovar in the abattoir environment of Taiwan. Int. J. Food Microbiol. 2020, 325, 108640. [Google Scholar] [CrossRef]
  21. Boubendir, S.; Arsenault, J.; Quessy, S.; Thibodeau, A.; Fravalo, P.; Theriault, W.P.; Fournaise, S.; Gaucher, M.L. Salmonella contamination of broiler chicken carcasses at critical steps of the slaughter process and in the environment of two slaughter plants: Prevalence, genetic profiles, and association with the final carcass status. J. Food Prot. 2021, 84, 321–332. [Google Scholar] [CrossRef]
  22. Villegas, K.J.L.; Barragán, I.S.R. Virulence and antimicrobial-resistant gene profiles of Salmonella spp. isolates from chicken carcasses markets in Ibague City, Colombia. Int. J. Microbiol. 2024, 2024, 4674138. [Google Scholar] [CrossRef]
  23. Ehuwa, O.; Jaiswal, A.K.; Jaiswal, S. Salmonella, food safety and food handling practices. Foods 2021, 10, 907. [Google Scholar] [CrossRef] [PubMed]
  24. Elshebrawy, H.A.; Abdel-Naeem, N.H.S.; Mahros, M.A.; Elsayed, H.H.; Imre, K.; Herman, V.; Morar, A.; Sallam, K.I. Multidrug-resistant Salmonella enterica serovars isolated from frozen chicken carcasses. LWT 2022, 164, 113647. [Google Scholar] [CrossRef]
  25. Hiyoshi, H.; Tiffany, C.R.; Bronner, D.N.; Bäumler, A.J. Typhoidal Salmonella serovars: Ecological opportunity and the evolution of a new pathovar. FEMS Microbiol. Rev. 2018, 42, 527–541. [Google Scholar] [CrossRef]
  26. Reta, G.G.; Lopes, S.M.; Aquino, N.S.M.; Tondo, E.C. Quantification of Salmonella transfer in cross-contamination scenarios found in chicken slaughterhouses. Food Microbiol. 2023, 116, 104347. [Google Scholar] [CrossRef]
  27. Lyu, C.; Li, D.; Wang, B.; Rao, W.; Han, M.; Deng, S.; Xu, X.; Wang, H. Risk investigation and diversity of microbial contamination during slaughter processing of yellow-feathered broiler. LWT 2024, 210, 116801. [Google Scholar] [CrossRef]
  28. Hussain, A.; Shaik, S.; Ranjan, A.; Nandanwar, N.; Tiwari, S.K.; Majid, M.; Baddam, R.; Qureshi, I.A.; Semmler, T.; Wieler, L.H.; et al. Risk of transmission of antimicrobial resistant Escherichia coli from commercial broiler and free-range retail chicken in India. Front. Microbiol. 2017, 8, 2120. [Google Scholar] [CrossRef] [PubMed]
  29. Davis, G.S.; Waits, K.; Nordstrom, L.; Grande, H.; Weaver, B.; Papp, K.; Horwinski, J.; Koch, B.; Hungate, B.A.; Liu, C.M.; et al. Antibiotic-resistant Escherichia coli from retail poultry meat with different antibiotic use claims. BMC Microbiol. 2018, 18, 174. [Google Scholar] [CrossRef]
  30. Gautam, N.; Poudel, R.; Lekhak, B.; Upreti, M.K. Antimicrobial susceptibility pattern of Gram-negative bacterial isolates from raw chicken meat samples. Tribhuvan Univ. J. Microbiol. 2019, 6, 89–95. [Google Scholar] [CrossRef]
  31. Adzitey, F.; Pepra, P.A.; Teye, G.A.; Somboro, A.M.; Kumalo, H.M.; Amoako, D.G. Prevalence and antimicrobial resistance of Escherichia coli isolated from various meat types in the Tamale metropolis of Ghana. Int. J. Food Sci. 2020, 2020, 8877196. [Google Scholar] [CrossRef]
  32. Wasfi, R.; Elkhatib, W.F.; Ashour, H.M. Molecular typing and virulence analysis of multidrug resistant Klebsiella pneumoniae clinical isolates recovered from Egyptian hospitals. Sci. Rep. 2016, 6, 38929. [Google Scholar] [CrossRef]
  33. Paczosa, M.K.; Mecsas, J. Klebsiella pneumoniae: Going on the offense with a strong defense. Microbiol. Mol. Biol. Rev. 2016, 80, 629–661. [Google Scholar] [CrossRef]
  34. Mourão, J.; Magalhães, M.; Almeida, M.R.; Rebelo, A.; Novais, C.; Peixe, L.; Novais, A.; Antunes, P. Decoding Klebsiella pneumoniae in poultry chain: Unveiling genetic landscape, antibiotic resistance, and biocide tolerance in non-clinical reservoirs. Front. Microbiol. 2024, 15, 1365011. [Google Scholar] [CrossRef]
  35. El-Ghany, W.A.A. Pseudomonas aeruginosa infection of avian origin: Zoonosis and one health implications. Vet. World 2021, 14, 2155–2159. [Google Scholar] [CrossRef]
Figure 1. Frequencies of microorganisms isolated in broiler carcasses (n = 60) and identified by MALDI-TOF. (a) Isolated from PCA agar; (b) isolated from XLD or BPLS agar.
Figure 1. Frequencies of microorganisms isolated in broiler carcasses (n = 60) and identified by MALDI-TOF. (a) Isolated from PCA agar; (b) isolated from XLD or BPLS agar.
Microorganisms 13 01124 g001
Table 1. Means and standard deviations of aerobic mesophilic microorganism and E. coli counts (Log10 CFU/g) in 60 broiler carcasses, with and without visible gastrointestinal contamination, collected immediately after automated evisceration.
Table 1. Means and standard deviations of aerobic mesophilic microorganism and E. coli counts (Log10 CFU/g) in 60 broiler carcasses, with and without visible gastrointestinal contamination, collected immediately after automated evisceration.
Counts of Bacterial Indicators
Type of CarcassAerobic Mesophilic MicroorganismsE. coli
Without visible gastrointestinal contamination5.42 ± 0.40 b3.74 ± 0.68 b
With visible gastrointestinal contamination6.01 ± 0.61 a4.70 ± 0.62 a
Means followed by distinct letters in the same column differ by the Fisher test (p < 0.05).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Brito, B.L.d.A.; Machado, R.A.; Jesus, J.L.B.d.; Reis, F.Y.T.; Zanon, I.P.; Casas, M.R.T.; Silva, R.O.S.; Figueiredo, H.C.P.; Figueiredo, T.C.d.; Souza, M.R.d.; et al. Microbiological Quality and Presence of Salmonella spp. in Broiler Carcasses with and Without Visible Gastrointestinal Contamination During Industrial Processing. Microorganisms 2025, 13, 1124. https://doi.org/10.3390/microorganisms13051124

AMA Style

Brito BLdA, Machado RA, Jesus JLBd, Reis FYT, Zanon IP, Casas MRT, Silva ROS, Figueiredo HCP, Figueiredo TCd, Souza MRd, et al. Microbiological Quality and Presence of Salmonella spp. in Broiler Carcasses with and Without Visible Gastrointestinal Contamination During Industrial Processing. Microorganisms. 2025; 13(5):1124. https://doi.org/10.3390/microorganisms13051124

Chicago/Turabian Style

Brito, Bruno Leandro de Almeida, Rafaela Assis Machado, João Luís Batista de Jesus, Francisco Yan Tavares Reis, Isabela Pádua Zanon, Monique Ribeiro Tiba Casas, Rodrigo Otávio Silveira Silva, Henrique César Pereira Figueiredo, Tadeu Chaves de Figueiredo, Marcelo Resende de Souza, and et al. 2025. "Microbiological Quality and Presence of Salmonella spp. in Broiler Carcasses with and Without Visible Gastrointestinal Contamination During Industrial Processing" Microorganisms 13, no. 5: 1124. https://doi.org/10.3390/microorganisms13051124

APA Style

Brito, B. L. d. A., Machado, R. A., Jesus, J. L. B. d., Reis, F. Y. T., Zanon, I. P., Casas, M. R. T., Silva, R. O. S., Figueiredo, H. C. P., Figueiredo, T. C. d., Souza, M. R. d., & Cançado, S. d. V. (2025). Microbiological Quality and Presence of Salmonella spp. in Broiler Carcasses with and Without Visible Gastrointestinal Contamination During Industrial Processing. Microorganisms, 13(5), 1124. https://doi.org/10.3390/microorganisms13051124

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop