Submit or Track your Manuscript LOG-IN

Advances in Animal and Veterinary Sciences

AAVS_4_9_449

 

 

Research Article

 

Assessing Cleaning and Disinfection Regime in a Slaughterhouse against Carcasses Contamination

 

Essam Samir Soliman1*, Sherif Abdel-Rahman Moawed2, Ahmed Mohamed garhy Ziaan3

1Department of Animal Hygiene, Zoonosis and Animal Behavior; 2Department of Animal Wealth Development, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt-41522; 3Slaughterhouses Inspection Department, Directorate of Veterinary Medicine, Ismailia, Egypt, 41513

 

Abstract | Cleaning and disinfection regime effectiveness in a slaughterhouse was evaluated against the recovery of environmentally-robust zoonotic enteric pathogens such as E. coli and Salmonella. About 64%, 59% of carcass samples (Muscles, Lymph nodes, Organs as Liver and Spleen), and 55%, 52% of environmental samples (Wall, Floor swabs and Water) were tested positive to E. coli and Salmonella spp.; respectively after applying routine disinfection procedures in the slaughterhouse. Two experimental designs (dry and wet models) were used in an attempt to mimic the conditions of disinfection regime used in the slaughterhouse. Carbolic acid was tested at the concentrations 5%, 6.5% (recommended conc.) and 10%, while crude carbolic acid was tested at the concentrations 3% (recommended cons.); 5%; 8% and 10%. Carbolic acid wet models: 6.5% achieved 100% (P < 0.01) efficacy after 4 h; 10% achieved 100% (P > 0.05) efficacy after 2 h. Carbolic acid dry models: 6.5%; 10% achieved 97% (P < 0.01); 100% (P > 0.05) efficacy after 4 h; respectively. Sodium hypochlorite wet model: 3% achieved 47.5% (P > 0.05) efficacy after 4 h; 5%; 8% and 10% achieved 78% (P < 0.01); 94% (P < 0.01), and 100% (P > 0.05) efficacy after 4 h; respectively. Meanwhile; Sodium hypochlorite dry models: 3%; 5%; 8% and 10% achieved 46%; 73%; 86% and 100% (P < 0.01) efficacy at 4 h, respectively. In conclusion; recommended carbolic acid (6.5%) and sodium hypochlorite (3%) concentrations failed to achieve the required efficacy; thus correction of concentrations up to 10%; 8%; respectively for 4 hours contact is required. Application of green disinfectants should be considered.

 

Keywords | Disinfection, Cleaning, Effectiveness, Salmonella, E. coli, Slaughterhouse

 

Editor | Kuldeep Dhama, Indian Veterinary Research Institute, Uttar Pradesh, India.

Received | July 21, 2016; Accepted | August 10, 2016; Published | August 22, 2016

*Correspondence | Essam S Soliman, Department of Animal Hygiene, Zoonosis and Animal Behavior, Faculty of Veterinary Medicine, Suez Canal University, Ismailia, Egypt-41522; Email: [email protected]

Citation | Soliman ES, Moawed SA and Ziaan AMG (2016). Assessing cleaning and disinfection regime in a slaughterhouse against carcasses contamination. Adv. Anim. Vet. Sci. 4(9): 449-457.

DOI | http://dx.doi.org/10.14737/journal.aavs/2016/4.9.449.457

ISSN (Online) | 2307-8316; ISSN (Print) | 2309-3331

Copyright © 2016 Soliman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

 

Introduction

 

A well-planned, well-executed and controlled cleaning and sanitation program inside a slaughterhouse is very important to achieve the required hygienic standard. Cleaning and sanitation alone, however, will not assure the required hygienic standard; where process disinfection is important factor. Lack of efficient sanitation and improper disinfection program in a slaughterhouse can contributes bacterial contamination of carcasses (Dixon et al., 1991).

 

Microbial contamination of animal carcasses during slaughtering is an unavoidable condition (Dickson and Anderson, 1991). Carcass dressing and evisceration processes constitute critical points in the microbial contamination of muscle; for which corrective measures need to be implemented (Gill et al., 1999; Bacon et al., 2000; Abdalla et al., 2009a; Abdalla et al., 2009b). Fecal matter was a major source of contamination and could reach carcasses through direct deposition, as well as indirect contact with contaminated equipment, workers, installations and air (Borch and Arinder, 2002).

 

Poor sanitation procedures have been linked to sustained bacterial levels (Pepper et al., 1993; Soliman et al., 2009), thus disinfectants that are effective against bacterial suspensions may have a reduced efficacy especially against bacteria that adhere to surfaces (Mosteller and Bishop, 1993). The effective use of reliable disinfectants is of fundamental importance to many control measures, particularly in all-in-all-out systems (MacLaren et al., 2001); as potential disinfectants act on microorganisms at several target sites resulting in membrane disruption, metabolic inhibition, and lysis of the bacterial cell (Maillard, 2002). Disinfectant efficacy is often tested against laboratory bacterial suspensions (Bloomfield et al., 1991). However, this approach may not always prove to mimic commercial; slaughtering and processing conditions, thus, making it difficult to determine the true and actual effectiveness of the disinfectant.

 

The objectives of this study was to evaluate cleaning and disinfection regime in a slaughterhouse (Abo-Khalifa abattoir- Ismailia- Egypt) against recovery of environmentally-robust zoonotic enteric pathogens such as Salmonella spp. and E. coli spp., as well as conducting an experimental designs for laboratory evaluation of the used chemical disinfectants’ effectiveness against these pathogens.

 

Material and methods

 

Study Design

The study design was conducted in two pathways, the first pathway was a field assessment of cleaning and disinfection regime in a slaughterhouse, and the second pathway was conducting a laboratory evaluation of the used chemical disinfectants. Regular Visits on a weekly basis for a period of six months (from April 2015 to September 2015) were assigned to a slaughterhouse (Abo-Khalifa abattoir- Ismailia- Egypt). Routine cleaning and disinfection procedures were investigated (water under pressure with soap, followed by sodium hypochlorite solution 3%, and finally carbolic acid 6.5%) for evaluation.

 

Sampling

A total of 480 samples (180 environmental and 300 carcass samples) were collected during the study period. Environmental swab samples (60 wall swabs and 60 floor swabs) were collected using sterile swabs previously moistened in peptone buffered water (PBW) before and after slaughtering procedures. Each swab sample was obtained by swabbing five points of 25 cm × 25 cm. Sixty (60) water samples were collected before and after slaughtering procedures from the main water sources inside the slaughterhouse using plastic bottles; they were thoroughly washed, rinsed with deionized water and soaked for 48 h in 50% HNO3, then rinsed thoroughly with deionized water and air-dried.

 

The carcass samples, including 120 muscle samples (right and left shoulder muscles, right and left colata muscles), 120 lymph node samples (right and left pre-scapular lymph nodes, right and left pre-femoral lymph nodes) and 60 organ samples (liver and spleen) were collected. All samples were preserved in ice box and transferred to the laboratory. Environmental samples (wall, floor swabs and water) were kept in refrigerator at 4 ºC, while non-environmental samples (muscles, lymph nodes and organs) were kept frozen at -20 ºC until used for examination.

 

Sample Preparation

Environmental and carcass samples were prepared according to the technique recommended by APHA (2001). Frozen carcass samples were thawed by placing them in the refrigerator overnight, the meat package (organs, lymph nodes and muscles) were opened in biological safety cabinet, then 25 g from each sample were transferred aseptically to a sterile polyethylene bags containing 225 mL of 0.1% sterile buffered peptone water. The content of the bag were homogenized using stomacher (Lab. Blender 400, Seward Lab., and London) to have a dilution of 10-1. One mL of the original dilution of all samples (wall and floor swabs, water samples, muscles, lymph nodes and organs) was transferred aseptically to a test tube containing 9 mL sterile 0.1% buffered peptone water (w/v) to prepare a dilution of 10-2. Tenfold decimal serial dilution up to 10-6 were prepared to cover the expected range of samples contamination which could be easily counted.

 

Bacteriological Examination

Aerobic Bacterial (TBC) and Enterobacteriaceae Count (TEC): Bacterial counts (total bacterial count TBC and total enterobacteriaceae count TEC) were applied using drop plate technique (Zelver et al., 1999; Herigstad et al., 2001). Total aerobic Bacterial Count (TBC) was performed using standard plate count agar at 37ºC for 24 - 48 h. On the other hand, Total Enterobacteriaceae Count (TEC) was conducted using Eosine Methylene Blue Agar (EMB) at 37 ºC for 24 - 48 h revealing the growth of typical metallic green colonies. Counting plates showed 30 - 300 CFU per plates (Cruickshank et al., 1975, 1980). Five typical colonies (metallic green colonies) were selected and cultured onto MacConkey agar plates, and incubated at 37ºC for 24 h, pure colonies on MacConkey agar plates were inoculated onto nutrient slant and incubated at 37ºC for 24 h and kept for further identification.

 

Isolation of Salmonella and E.coli spp.

All samples were pre enriched in peptone buffer water and incubated at 37ºC for 8±2 h. 0.1 mL of pre-enriched samples was transferred to 10 mL pre-warmed tetrathionate broth, incubated at 42ºC for 24±3 h. A loop from tetrathionate broth was streaked onto CHROMagar plates

 

Table 1: Log Total Bacterial Count (TBC) and Total Enterobactereacie Count (TEC) in carcasses samples’ slaughtered in the examined slaughterhouse

Sample

Sample level

Log TBC mean ±SE

Log TEC mean ±SE

Muscles

R. Colata Ms

4.51336a ± 0.15438

3.00529a ± 0.09501

L. Colata Ms

4.63806a ± 0.15853

3.05745a ± 0.10994

R. Shoulder Ms

4.68878a ± 0.14458

2.99325a ± 0.09810

L. Shoulder Ms

4.53089a ± 0.17871

3.01761a ± 0.13067

P value

0.840

0.711

Lymph Nodes

R. Prefemoral L.n.

4.39252a ± 0.16721

2.75361a ± 0.10420

L. Prefemoral L.n.

4.66924a ± 0.18649

2.97011a ± 0.10075

R. Prescapular L.n.

4.80139a ± 0.15277

2.96378a ± 0.09548

L. Prescapular L.n.

4.54119a ± 0.17058

3.16341a ± 0.11645

P value

0.368

0.058

Internal Organs

Liver

4.64887a ± 0.18027

3.14379a ± 0.10705

Spleen

4.50044a ± 0.16903

3.06634a ± 0.08002

P value

0.357

0.449

 

Means carrying different superscripts in the same column are significantly different at (P ≤ 0.05) or highly significantly different at (P < 0.01); Means carrying the same superscripts in the same column are non-significantly different at (P > 0.05)

 

and incubated at 37ºC for 24 h. Typical Salmonella spp. colonies showed pink colour, while E. coli colonies showed blue colour. Five typical colonies were streaked on the surface of nutrient agar and incubated at 37 ºC ± 1 for 24±3 h. The growing colonies were picked and kept for biochemical confirmation using traditional biochemical set including indole test, Methyl Red, Voges Proskauer, Cimmon Citrate (IMVIC) and TSI (Triple sugar iron agar) / LIA (Lysine Iron Agar) reactions.

 

Laboratory Evaluation of in-use Disinfectants

Preparation of Dry and Wet Models of Bacterial Suspensions: E.coli and Salmonella spp. that were stored onto nutrient slopes were resuscitated on tubes of tetrathionate broth and incubated at 42ºC for 24 h, then plated onto CHROMagar and incubated at 37ºC for 24 h, typical colonies of E. coli and Salmonella spp. were counted and tenfold serial dilution was prepared. A concentration of (8×103 CFU) was used for preparing two models: dry and wet models (dry model was prepared on a stainless steel carrier and wet model was prepared on buffered peptone water), one mL of wet model, as well as carriers of dry models were added to 4.5 mL of 5% yeast suspension (a source of organic matter, dispensed into tubes, sterilized by autoclaving at 121 ºC / 20 min, subjected to pre-enrichment in buffered peptone water followed by selective culture, to demonstrate freedom from E.coli and Salmonella contamination) to simulate the conditions of slaughterhouse.

 

Preparation of Disinfectant Concentrations: The disinfectants were used in the slaughterhouse, Carbolic Acid 6.5% and Sodium Hypochlorite 3% were prepared from original stocks with additional concentrations (above and below the recommended concentration by manufacturer). Carbolic Acid was tested at the concentrations 5%, 6.5% and 10%. Sodium Hypochlorite was tested at the concentrations 3%, 5%, 8% and 10%.

 

Testing of Disinfectant Concentrations: One mL of bacterial suspension (wet model), as well as ten carriers (dry model) were added / immersed to four replicates of 9 mL disinfectant concentration: carbolic acid (5%, 6.5% and 10%), sodium hypochlorite (3%, 5%, 8% and 10%). Combinations were mixed, allowed to stand at cool room temperature and shaken briefly. After 0.25, 0.5, 1, 2 and 4 h contact time points, 0.1 mL aliquots were mixed with 10 mL disinfectant neutralizer (tween 80 3%). One mL of the combination in neutralizer was transferred to a resuscitation tube of 9 mL nutrient broth. The inoculated resuscitation tubes were incubated overnight, then plated onto CHROMagar and incubated at 37 ºC for 24 h. The development of typical colonies of both E.coli and Salmonella was detected and counted.

 

Statistical Analysis

The data obtained were assessed using SPSS 10.01 (version 20). Differences between the treatments and groups were determined with the one-way analysis of variance (ANOVA) test with Duncan’s posttest for some parameters, while the nonparametric Kruskal–Wallis was used to detect the mean rank and frequencies of both E. coli and Salmonella. Univariate analysis of variance was used to compare the influence of the tested disinfectant concentrations against pathogens in relation to exposure time. The data were expressed as mean ± standard error of the mean (SEM). Differences were considered significant at P ≤ 0.05 and P < 0.01 (Levesque, 2007). Bacterial count logarithmic transformation were done before analysis. The correlation co-efficient was calculated to compare the influence of each measured parameter mean values on each other (Fulekar, 2009).

 

Results

 

A uniform pattern of carcass contamination from the slaughterhouse’s floors and walls was reflected on carcasses samples’ bacteriological examination. A high log total bacterial and enterobacteriaceae counts with no significant differences (P > 0.05) between the different types of carcass samples including muscles, lymph nodes and internal organs as a result of insufficient cleaning and disinfection routine in the slaughterhouse (Table 1). On another view, the collected floor; wall swabs and water samples from the slaughterhouse revealed a highly significant increase (P<0.01) as revealed in (Table 2) in log total bacterial and enterobacteriaceae counts in after slaughtering samples when compared to after disinfection samples.

 

Total bacterial count in carcass and environmental samples (Table 3) revealed a highly significant (P < 0.01) strong positive (r = 0.819), significant (P ≤ 0.05) intermediate positive (r = 0.441) and a highly significant (P < 0.01) strong positive (r = 0.719) correlations between muscles with lymph nodes, liver and spleen, respectively. Significant (P ≤ 0.05) weak positive (r = 0.391), a highly significant (P < 0.01) strong positive (r = 0.736) correlation between lymph nodes with liver and spleen, respectively. A highly significant (P < 0.01) strong intermediate (r = 0.589) correlation between liver and spleen. A predominant non-significant (P > 0.05) weak (positive / negative) correlations was revealed between carcass and environmental samples in total bacterial count (Table 3).

 

Total enterobacteriaceae count in carcass and environmental samples (Table 3), revealed a highly significant (P<0.01) strong positive (r=0.805), significant (P≤0.05) intermediate positive (r=0.436) and a highly significant intermediate positive (r=0.511) correlations between muscles with lymph nodes, liver and spleen, respectively. Non-significant (P>0.05) weak positive (r=0.320), strong, significant (P≤0.05) intermediate positive (r=0.443) correlation between lymph nodes with liver and spleen, respectively.

 

Table 2: Log Total Bacterial Count (TBC) and Total Enterobactereacie Count (TEC) in environmental samples from in the examined slaughterhouse

Sample

Sample level

Log TBC mean ± SE

Log TEC mean ± SE

Floor Swabs

After Disinfection

1.65596b ± 0.20401

0.75655b ± 0.17424

After Slaughtering

5.46737a ± 0.09120

3.75536a ± 0.04249

P value

0.001

0.001

Wall Swabs

After Disinfection

0.74618b ± 0.17050

0.91647b ± 0.18322

After Slaughtering

4.51728a ± 0.09374

3.34518a ± 0.03697

P value

0.001

0.001

Water samples

After Disinfection

2.50222b ± 0.56055

1.60020b ± 0.13621

After Slaughtering

4.78108a ± 0.09901

3.77128a ± 0.08028

P value

0.001

0.001

 

Means carrying different superscripts in the same column are significantly different at (P ≤ 0.05) or highly significantly different at (P < 0.01); Means carrying the same superscripts in the same column are non-significantly different at (P > 0.05)

 

Table 3: Log Total Bacterial Count (TBC) correlations (Above Diagonal) and Log Total Enterobactereacie Count (TEC) correlations (Below Diagonal) between carcasses and environmental samples from the examined slaughterhouse

Bacterial Count r

Muscle

Lymph Nodes

Liver

Spleen

Floor Swabs

Wall Swabs

Water

Muscle

1

0.819**

0.441*

0.719**

0.087

0.056

0.042

Lymph Nodes

0.805**

1

0.391*

0.736**

-0.015

0.060

0.269

Liver

0.436*

0.320

1

0.589**

0.208

0.258

0.093

Spleen

0.511**

0.443*

0.432*

1

0.140

0.189

0.193

Floor Swabs

0.307

0.223

0.221

0.084

1

0.319

-0.060

Wall Swabs

0.162

0.278

-0.003

0.218

0.282

1

-0.209

Water

-0.275

-0.197

-0.416*

-0.310

-0.395*

-0.240

1

**: Correlation is highly significant (P < 0.01); *: Correlation is significant (P ≤ 0.05); NS: Correlation is non-significant (P > 0.05); r: 0.1 – 0.39 represent weak correlation; r: 0.40 – 0.69 represent intermediate correlation; r: 0.70 – 1.00 represent strong correlation (Fulekar, 2009)

 

Table 4: Intensity and frequencies of E. coli infection in carcasses and environmental samp

Type/level of Samples

Mean Rank

Frequency

Positive

Negative

Total

Carcass Samples

Muscle

R. Colata Ms

62.50a

22a

8a

30

L. Colata Ms

62.50a

22a

8a

30

R. Shoulder Ms

64.50a

23a

7a

30

L. Shoulder Ms

52.50a

17a

13a

30

P value

0.326

P=0.321

χ2=3.492

Lymph nodes

R. Prefemoral L.n.

63.50a

25a

5a

30

L. Prefemoral L.n.

59.50a

23a

7a

30

R. Prescapular L.n.

59.50a

23a

7a

30

L. Prescapular L.n.

59.50a

23a

7a

30

P value

0.900

P=0.898

χ2=0.589

Internal Organs

Liver

32.00a

19a

11a

30

Spleen

29.00a

16a

14a

30

P value

0.436

P=0.432

χ2=0.617

Environmental Samples

Floor Swabs

After Disinfection

26.50b

12b

18a

30

After Slaughtering

34.50a

20a

10b

30

P value

0.040

P=0.038

χ2=4.286

Wall Swabs

After Disinfection

26.50b

14b

16a

30

After Slaughtering

34.50a

22a

8b

30

P value

0.037

P=0.035

χ2=4.444

Water

After Disinfection

28.50a

25a

5a

30

After Slaughtering

32.50a

29a

1a

30

P value

0.088

P=0.085

χ2=2.963

 

Means carrying different superscripts in the same column are significantly different at (P ≤ 0.05) or highly significantly different at (P < 0.01); Means carrying the same superscripts in the same column are non-significantly different at (P > 0.05)

 

Significant (P ≤ 0.05) intermediate positive (r = 0.432) correlation between liver and spleen. A predominant non-significant (P > 0.05) weak (positive / negative) correlations was revealed between carcass and environmental samples in total enterobacteriaceae count (Table 3).

 

E. coli and Salmonella isolation (Table 4 and 5) from carcass samples revealed no significant differences (P > 0.05) in frequencies of isolation and nearly similar mean rank (60%) among the 300 carcass samples. On the other hand the frequencies of isolation among the environmental samples (20% - 40%) revealed a highly significant increase (P<0.01) in floor, wall swabs and water samples collected after slaughtering compared to samples collected after disinfection, in contra verse of a non-significant differences (P>0.05) in log TEC from water samples collected after the two stages of sampling.

 

Carbolic acid wet model 6.5% (Table 6) achieved a highly significant (P<0.01) 100% killing efficacy after 4 h exposure, compared to carbolic acid wet models 5%, 10% that achieved non-significant (P>0.05) 51% killing efficacy after 4 h contact, non-significant (P>0.05) 100% killing efficacy after only 2 h exposure, respectively. Carbolic acid dry models 5%, 6.5% and 10% (Table 6) achieved highly significant (P<0.01) 60%, 97%, and non-significant (P>0.05) 100% killing efficacy after 4 h contact, respectively.

 

Sodium hypochlorite wet model 3% (Table 7) achieved non-significant (P>0.05) 47.5% killing efficacy after 4 h exposure, compared to Sodium hypochlorite wet model 5%, 8% and 10% achieved highly significant (P<0.01) 78%, 94% and non-significant (P>0.05) 100% killing efficacy after 4 h contact, respectively. On the other hand, Sodium hypochlorite dry models 3%, 5%, 8% and 10% revealed highly significant (P<0.01) 46%, 73%, 86% and 100% killing efficacy after 4 h exposure, respectively.

 

Discussion

 

At the slaughterhouse, standard strict measures were pointed as a proper control measure to prevent the transmission of the micro-organisms to and from animal carcasses and slaughterhouse environment. Meanwhile, even when cleaning procedures were classified as satisfactory and a strong disinfectants were used.

 

Table 5: Intensity and frequencies of Salmonella infection in carcasses and environmental samples

Type/level of Samples

Mean Rank

Frequency

Positive

Negative

Total

Carcass Samples

Muscle

R. Colata Ms

58.50a

17a

13a

30

L. Colata Ms

54.50a

15a

15a

30

R. Shoulder Ms

64.50a

20a

10a

30

L. Shoulder Ms

64.50a

20a

10a

30

P value

0.479

P=0.475

χ2=2.500

Lymph nodes

R. Prefemoral L.n.

59.50a

20a

10a

30

L. Prefemoral L.n.

65.50a

23a

7a

30

R. Prescapular L.n.

61.50a

21a

9a

30

L. Prescapular L.n.

55.50a

18a

12a

30

P value

0.575

P=0.571

χ2=2.003

Internal Organs

Liver

30.50a

14a

16a

30

Spleen

30.50a

14a

16a

30

P value

1.0

P=1.000

χ2=0.001

Environmental Samples

1. Floor Swabs

After Disinfection

22.00b

6b

24a

30

After Slaughtering

39.00a

23a

7b

30

P value

0.001

P=0.001

χ2=19.288

Wall Swabs

After Disinfection

23.50b

6b

24a

30

After Slaughtering

37.50a

20a

10b

30

P value

0.001

P=0.001

χ2=13.303

Water

After Disinfection

20.00b

3b

27a

30

After Slaughtering

41.00a

24a

6b

30

P value

0.001

P=0.001

χ2=29.697

 

Means carrying different superscripts in the same column are significantly different at (P ≤ 0.05) or highly significantly different at (P < 0.01); Means carrying the same superscripts in the same column are non-significantly different at (P > 0.05)

 

Table 6: Laboratory efficacy of Carbolic acid (5%, 6.5%, 10%) at different times of exposure against bacterial mixture in wet model and dry model

Contact Time/hr

Model

Concentration

5%

6.5%*

10%

Total

0.25

Dry

3.1e ± 1.0825

9.0e ± 2.8584

22.1d ± 3.7974

11.4e ± 2.8154

Wet

3.1c ± 1.0825

6.2e ± 2.2243

20.9c ± 4.3712

10.1d ± 2.7885

0.5

Dry

16.8d ± 3.1663

23.1d ± 1.6535

45.6c ± 2.1949

28.5d ± 3.9313

Wet

17.5b ± 2.4473

32.8d ± 2.1875

60.3b ± 5.3125

36.8c ± 5.6627

1

Dry

35.3c ± 1.9348

75.0c ± 0.5103

85.4b ± 1.5598

65.2c ± 6.5584

Wet

45.0a ± 2.1040

84.0c ± 1.3858

99.3a ± 0.3865

76.1b ± 6.9421

2

Dry

49.6b ± 0.7864

92.3b ± 0.7447

98.7a ± 0.2570

80.2b ± 6.5786

Wet

50.0a ± 1.0206

91.3b ± 2.0999

100.0a ± 0.000

80.4a ± 6.6169

4

Dry

60.0a ± 1.3501

97.9a ± 0.2991

100.0a ± 0.000

85.9a ± 5.5622

Wet

51.2a ± 0.5103

100.0a ± 0.000

100.0a ± 0.000

83.7a ± 6.9307

Total

Dry

33.0c ± 4.8313

59.5b ± 8.4001

70.4a ± 7.1907

54.3 ± 4.4512

Wet

33.3c ± 4.5152

62.8b ± 8.4579

76.1a ± 7.3393

57.4 ± 4.5892

 

*Recommended concentration by manufacture to be used in field; Means carrying different superscripts in the same column are significantly different at (P ≤ 0.05) or highly significantly different at (P < 0.01); Means carrying the same superscripts in the same column are non-significantly different at (P > 0.05)

 

Table 7: Laboratory efficacy of Sodium Hypochlorite (2%, 5%, 8%, 10%) at different times of exposure against bacterial mixture in wet model and dry model

Contact Time/hr

Model

Concentration

3%*

5%

8%

10%

Total

0.25

Dry

3.2e ± 1.0825

16.8e ± 2.7243

18.1e ± 1.0825

22.1e ± 1.3858

15.0e ± 2.0041

Wet

7.5d ± 2.1040

19.6e ± 3.2425

19.6e ± 1.8663

27.5d ± 1.3501

18.5e ± 2.1036

0.5

Dry

11.8d ± 0.8068

30.6d ± 2.5259

37.5d ± 0.5103

37.5d ± 2.4473

29.3d ± 2.8275

Wet

21.8c ± 3.0830

36.8d ± 1.3010

39.3d ± 1.6535

57.8c ± 3.1612

38.9d ± 3.4727

1

Dry

25.6c ± 1.9432

50.0c ± 1.0206

58.1c ± 0.8068

71.2c ± 2.6516

51.2c ± 4.3645

Wet

35.9b ± 1.6437

50.6c ± 2.0728

71.5c ± 2.4138

80.6b ± 1.9432

59.6c ± 4.6104

2

Dry

34.6b ± 1.6437

60.0b ± 1.3501

73.1b ± 1.5728

92.9b ± 0.4824

65.1b ± 5.4927

Wet

49.0a ± 0.5983

69.3b ± 1.4878

85.6b ± 1.1967

99.4a ± 0.3321

75.8b ± 4.8737

4

Dry

46.2a ± 1.6137

73.1a ± 1.6535

86.7a ± 0.6929

100.0a ± 0.000

76.5a ± 5.1649

Wet

47.5a ± 1.3501

78.4a ± 2.2462

94.2a ± 1.0325

100.0a ± 0.000

80.0a ± 5.2988

Total

Dry

24.3d ± 3.5937

46.1c ± 4.6910

54.7b ± 5.6429

64.7a ± 7.0166

47.4 ± 3.1289

Wet

32.3d ± 3.7068

51.0c ± 4.9650

62.0b ± 6.5159

73.0a ± 6.3542

54.6 ± 3.1861

 

*Recommended concentration by manufacture to be used in field; Means carrying different superscripts in the same column are significantly different at (P ≤ 0.05) or highly significantly different at (P < 0.01); Means carrying the same superscripts in the same column are non-significantly different at (P > 0.05)

 

Some micro-organisms as E.coli and Salmonella was still able to survive and detected in environmental samples of the slaughterhouse and in carcass samples (Carrique-Mas and Davies, 2008).

 

It has been described that holes in floors and walls make it difficult for the penetration of disinfectant solutions and what is more, the biofilms created by Salmonella can make the action of the disinfectants more difficult (Marin et al., 2009). The average intermediate degree of correlations between total bacterial counts, total enterobacteriaceae counts with the different environmental and carcass samples ensured the deficient access of disinfectant to some areas in the slaughterhouse contributing a definite contamination of the carcass directly or indirectly through the workers, equipment and air.

 

It was cleared from our results that carbolic acid recommended concentration (6.5%) achieved the 100% killing efficacy only after 4 h in wet model, on the contrary carbolic acid 6.5% dry model achieved only 97% at the same time of contact and under the same experimental conditions. The same distinguish in killing efficacy was noticed in sodium hypochlorite dry model 3 % (46% after 4 h contact) compared to sodium hypochlorite wet model 3% (47.5% after 4 h contact). The differences in disinfectant performance between the two models (dry, wet) are probably a result of several factors. Physiological status of the micro-organism especially E.coli and Salmonella in the dried versus the wet preparations; adaptive responses by the micro-organism in conditions of low water activity (Russell, 2004; Fraise et al., 2008) and reduced nutrient availability (Hoff and Akin, 1986). It has been observed that susceptibility of members of the enterobacteriaceae to certain antiseptics and disinfectants, may increase or decrease depending on cell density, growth rate and the limiting nutrient (Brown et al., 1990; Bjergbæk et al., 2008).

 

The reduction of the microbial contamination (Rahkio and Korkeala, 1996) depends on the enforcement of hygienic practice such as regular disinfection of working tools and worker hands are important in reducing the microbiological contamination of carcasses. The used routine disinfection in the slaughterhouse depends on the usage of disinfectants that are effective and efficient against wide variety of micro-organisms and doesn’t tent the meat and its marketability (Sander et al., 2002)

 

Conclusion & Recommendation

 

Current research prove that routinely cleaning and disinfection procedures performed at the slaughterhouse were not able to control microbial growth, and subsequently carcass contamination with some zoonotic enteric pathogens such as E. coli and Salmonella spp. using the recommended concentrations of in-use disinfectants. Although the high germicidal power of carbolic acid, it is not recommended to be used inside the slaughterhouses. Recommended carbolic acid (6.5%) and sodium hypochlorite (3%) concentrations failed to achieve the expected efficacy. Correction of carbolic acid and sodium hypochlorite concentrations up to 10%, 8%, respectively is required.

 

A new line and strategies have to be taken in consideration to enhance the cleaning and disinfection procedures in a slaughterhouse, such as considering the usage of green chemistry disinfectants that might have a higher germicidal potential, long term effectiveness and safe to be used inside the slaughterhouses. Others sources of contamination have to be considered during evaluation of the routine cleaning and disinfection program in the slaughterhouse, and in disease control strategies as workers; equipment; air and containers used for transportation of animals to the slaughterhouse.

 

Acknowledgments

 

Prof. Dr. Mohamed Abdel-Aal Sobieh for his tremendous direction during the processing of the work.

 

Authors’ contribution

 

All authors contributed equally in samples collection, reviewing and improving of the manuscript.

 

References

  • Abdalla MA, Siham E Suliman, Alian YYHA (2009a). Microbial contamination of sheep carcasses at slaughterhouse in Khartoum State. Sud. J. Vet. Sci. Anim. Husb. 48(1-2): 51-56.
  • Abdalla MA, Suliman SE, Ahmed DE, Bakhiet AO (2009b). Estimation of bacterial contamination of indigenous bovine carcasses in Khartoum (Sudan). Afr. J. Microbiol. Res. 3(12): 882-886.
  • APHA (2001). American Pharmaceutical Association 148th Annual Meeting. March 16- 20, San Francisco, California.
  • Bacon RT, Belk KE, Sofos IN, Clayton RP, Reagan JA, Smith GC (2000). Microbial populations on animal hides and beef carcasses at different stages of slaughter in plants employing multiple-sequential interventions for decontamination. J. Food Prot. 63(8): 1080-l086.
  • Bjergbæk LA, Haagensen JAJ, Molin S, Roslev P (2008). Effect of oxygen limitation and starvation on the benzalkonium chloride susceptibility of Escherichia coli. J. Appl. Microbiol. 105(5): 1310-1317. http://dx.doi.org/10.1111/j.1365-2672.2008.03901.x
  • Bloomfield SF, Arther M, Looney E, Begun K, Patel H (1991). Comparative testing of disinfectant and antiseptic products using proposed European suspension testing methods. Lett. Appl. Microbiol. 13(5): 233–237. http://dx.doi.org/10.1111/j.1472-765X.1991.tb00617.x
  • Borch E, Arinder P (2002). Bacteriological safety issues in beef and ready-to-eat meat products, as well as control measures. Meat Sci. 62(3): 381-390. http://dx.doi.org/10.1016/S0309-1740(02)00125-0
  • Brown MR, Collier PJ, Gilbert P (1990). Influence of growth rate on susceptibility to antimicrobial agents: modification of the cell envelope and batch and continuous culture studies. Antimicrob. Agents Chemother. 34(9):1623-1628. http://dx.doi.org/10.1128/AAC.34.9.1623
  • Carrique-Mas J, Davies RH (2008). Sampling and bacteriological detection of Salmonella in poultry and poultry premises: A review. Rev. Sci. Tech. 27(3): 665-677. http://dx.doi.org/10.20506/rst.27.3.1829
  • Cruickshank R, Duguid JP, Marmion BP, Swain RHA (1975). The enterobacteriaceae: Salmonella. In: “Medical Microbiology.” Vol. 11, 12th Edition. Churchill Livingstone, Edinburgh, London and New York. Pp. 403-419.
  • Cruickshank R, Duguid JP, Marmion BP, Swain RHA (1980). The Practice of Medical Microbiology Volume 2, 12th Edition, Churchill Livingstone Edinburgh and New York, Pp. 193, 194, 299.
  • Dickson JS, Anderson ME (1991). Control of Salmonella on beef tissue surfaces in a model system by pre and post-evisceration washing and sanitizing, with and without spray chilling. J. Food Prot. 54(7): 514-518.
  • Dixon ZR, Acuff GR, Lucia LM, Vanderzant C, Morgan JB, May SG, Savell JW (1991). Effect of degree of sanitation from slaughter through fabrication on the microbiological and sensory characteristics of beef. J. Food Prot. 54(3), 200-207.
  • Fraise AP, Maillard JY, Sattar S (2008). Russell, Hugo and Ayliffe’s principles and practice of disinfection, preservation and sterilization. 4th Edition. Oxford, UK, Wiley-Blackwell. Pp. 98-127.
  • Fulekar (Ed.) MH (2009). Bioinformatics: Applications in Life and Environmental Sciences, Springer. Pp. 110. http://dx.doi.org/10.1007/978-1-4020-8880-3
  • Gill CO, McGinnis JC, Jones T (1999). Assessment of the microbiological conditions of tails, tongues, and head meat at two beef-packing plants. J. Food Prot. 62(6):674-677.
  • Herigstad B, Hamilton M, Heersink J (2001). How to optimize the drop plate method for enumerating bacteria. J. Microbiol. Meth. 44(2): 121-129. http://dx.doi.org/10.1016/S0167-7012(00)00241-4
  • Hoff JC, Akin EW (1986). Microbial resistance to disinfectants: mechanisms and significance. Environ. Hlth. Perspect. 69: 7-13. http://dx.doi.org/10.1289/ehp.86697
  • Levesque R (2007). SPSS Programming and Data Management: A Guide for SPSS and SAS® Users, Fourth Edition, SPSS Inc., Chicago IL.
  • MacLaren I, Wales A, Breslin M, Davies R (2001). Evaluation of commonly-used farm disinfectants in wet and dry models of salmonella farm contamination. Avian Pathol. 40(1): 33-42. http://dx.doi.org/10.1080/03079457.2010.537303
  • Maillard JY (2002). Bacterial target sites for biocide action. Symp. Ser. Soc. Appl. Microbiol. (31): 16S-27S. http://dx.doi.org/10.1046/j.1365-2672.92.5s1.3.x
  • Marin C, Hernandiz A, Lainez M (2009). Biofilm development capacity of Salmonella strains isolated in poultry risk factors and their resistance against disinfectants. Poult. Sci. 88(2): 424-431. http://dx.doi.org/10.3382/ps.2008-00241
  • Mosteller TM, Bishop JR (1993). Sanitizer efficacy against attached bacteria in a milk biofilm. J. Food Prot. 56(1): 34–41.
  • Pepper IL, Josephson KL, Bailey RL, Burr MD, Gerba CP (1993). Survival of indicator organisms in Sonoran Desert soil amended with sewage sludge. J. Environ. Sci. Hlth. A28: 1287-1302. http://dx.doi.org/10.1080/10934529309375943
  • Rahkio M, Korkeala H (1996). Microbiological contamination of carcasses related to hygiene practice and facilities on slaughtering lines. Acta Vet. Scand. 37(3): 219-228.
  • Russell AD (2004). Bacterial adaptation and resistance to antiseptics, disinfectants and preservatives is not a new phenomenon. J. Hosp. Infect. 57(2): 97-104. http://dx.doi.org/10.1016/j.jhin.2004.01.004
  • Sander JE, Hofacre CL, Cheng IH, Wyatt RD (2002). Investigation of resistance of bacteria from commercial poultry sources to commercial disinfectants. Avian Dis. 46(4): 997-1000. http://dx.doi.org/10.1637/0005-2086(2002)046[0997:IOROBF]2.0.CO;2
  • Soliman ES, Taha EG, Sobieh MAA, Reddy PG (2009). Efficacy of some commercial disinfectants on Salmonella enterica serovar typhimurium. Am. J. Anim. Vet. Sci. 4(3): 58-64. http://dx.doi.org/10.3844/ajavsp.2009.58.64
  • Zelver N, Hamilton M, Pitts B, Goeres D, Walker D, Sturman P, Heersink J (1999). Measuring antimicrobial effects on biofilm bacteria: from laboratory to field. Methods Enzymol. 310: 608-628. http://dx.doi.org/10.1016/S0076-6879(99)10047-8
  •  

     

     

     

     

     

    Advances in Animal and Veterinary Sciences

    November

    Vol. 12, Iss. 11, pp. 2062-2300

    Featuring

    Click here for more

    Subscribe Today

    Receive free updates on new articles, opportunities and benefits


    Subscribe Unsubscribe