scholarly journals Assessing Campylobacter Colonization of Broiler Herds Ante Mortem and Monitoring Campylobacter Contamination Post Mortem by qPCR

Pathogens ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 742
Author(s):  
Gudrun Overesch ◽  
Katrin Haas ◽  
Peter Kuhnert
Keyword(s):  
Chicken Meat ◽  
Post Mortem ◽  
Quantitative Real Time Pcr ◽  
Reliable Identification ◽  
Qpcr Method ◽  
Meat Samples ◽  
Human Campylobacteriosis ◽  
Campylobacter Spp ◽  
Colonization Rates ◽  
Higher Sensitivity

Human campylobacteriosis is the most prevalent zoonosis, with chicken meat contributing substantially to the number of cases. Measures to avoid or at least reduce exposure by meat contaminated with Campylobacter (C.) spp. are needed. With regard to the process hygiene criterion introduced in 2018 for Campylobacter spp. on broiler carcasses, we evaluated the performance of a recently developed quantitative real-time PCR (qPCR) for C. jejuni/coli on random caecal samples and chicken meat. With the qPCR on pooled caecal samples not only C. jejuni/coli positive (69.6%) versus negative broiler herds (30.4%) were identified, but herds highly colonized with C. jejuni/coli (39.4%) could also be identified. From the chicken meat samples, 8.0% were positive for C. jejuni/coli by qPCR and 0.7% by enumeration (>10 cfu/g) compared to 58.3% using cultural enrichment. Given the higher sensitivity, the qPCR method could replace the currently used enumeration method to assess the process hygiene criterion for Campylobacter spp. on broiler carcasses. Moreover, with the qPCR, a reliable identification of C. jejuni/coli colonized incoming broiler herds a few days before slaughter is feasible, which provides important information to optimize slaughter processes. Finally, identifying and monitoring herds with high C. jejuni/coli colonization rates could help to individually improve biosecurity measures at farm level, eventually reducing the C. jejuni/coli load on chicken meat.

scholarly journals Prevalence of Campylobacter coli and Campylobacter jejuni in Retail Chicken, Beef, Lamb, and Pork Products in Three Australian States

2019 ◽  
Vol 82 (12) ◽  
pp. 2126-2134 ◽  
Author(s):  
LIZ J. WALKER ◽  
RHIANNON L. WALLACE ◽  
JAMES J. SMITH ◽  
TRUDY GRAHAM ◽  
THEMY SAPUTRA ◽  
...  
Keyword(s):  
Control Strategies ◽  
Sampling Period ◽  
Common Species ◽  
Chicken Meat ◽  
Campylobacter Coli ◽  
Pork Products ◽  
South Wales ◽  
Meat Samples ◽  
Campylobacter Infection ◽  
Campylobacter Spp

ABSTRACT The aim of this study was to investigate the prevalence and distribution of Campylobacter species in a variety of fresh and frozen meat and offal products collected from retail outlets in New South Wales (NSW), Queensland (Qld), and Victoria (Vic). A total of 1,490 chicken, beef, lamb, and pork samples were collected from Australian supermarkets and butcher shops over a 2-year sampling period (October 2016 to October 2018). Campylobacter spp. were detected in 90% of chicken meat and 73% of chicken offal products (giblet and liver), with significantly lower prevalence in lamb (38%), pork (31%), and beef (14%) offal (kidney and liver). Although retail chicken meat was frequently contaminated with Campylobacter, the level of contamination was generally low. Where quantitative analysis was conducted, 98% of chicken meat samples, on average, had <10,000 CFU Campylobacter per carcass, with 10% <21 CFU per carcass. Campylobacter coli was the most frequently recovered species in chicken meat collected in NSW (53%) and Vic (56%) and in chicken offal collected in NSW (77%), Qld (59%), and Vic (58%). In beef, lamb, and pork offal, C. jejuni was generally the most common species (50 to 86%), with the exception of pork offal collected in NSW, where C. coli was more prevalent (69%). Campylobacter prevalence was significantly higher in fresh lamb (46%) and pork (31%) offal than in frozen offal (17 and 11%, respectively). For chicken, beef, and pork offal, the prevalence of Campylobacter spp. was significantly higher on delicatessen products compared with prepackaged products. This study demonstrated that meat and offal products are frequently contaminated with Campylobacter. However, the prevalence is markedly different in different meats, and the level of chicken meat portion contamination is generally low. By identifying the types of meat and offal products types that pose the greatest risk of Campylobacter infection to consumers, targeted control strategies can be developed. HIGHLIGHTS

scholarly journals Comparative bacteriological analysis of frozen and fresh chicken meats sold around old site Bayero University Kano

2021 ◽  
Vol 14 (1) ◽  
pp. 258-262
Author(s):  
Habibu Usman Abdu ◽  
Aisha Mustapha Abubakar
Keyword(s):  
Staphylococcus Aureus ◽  
Bacterial Species ◽  
Bacterial Count ◽  
Chicken Meat ◽  
Salmonella Spp ◽  
E Coli ◽  
Meat Samples ◽  
And Staphylococcus Aureus ◽  
Klebsiella Spp ◽  
Campylobacter Spp

Foodborne pathogens are serious public healthproblems that greatly affect the cost of food production and healthcare while poultry are often associated with foodborne disease outbreaks. This study aimed at investigating the occurrence and distribution of bacterial pathogens associated with chicken meats sold around Bayero University, Kano old site. A total of twenty (20) meat samples comprised of 10 frozen and ten freshly slaughtered chicken were purchased from different selling outlets around the study area. The samples were processed using standard cultural and biochemical procedures. The results of the study showed the mean aerobic mesophilic bacterial count of 5.93 x 106 CFU/g and 3.12 x 106  CFU/g for frozen and freshly slaughtered chicken meat samples respectively. The coliform counts were 420.1 and 347.7 CFU/100g for frozen and freshly slaughtered chicken meat samples respectively. The distribution of different bacterial species revealed E. coli (26.0%), Klebsiella spp (4.0%), Salmonella spp (19.5%), Campylobacter spp. (14.6%) and Staphylococcus aureus (30%) in frozen chicken meat samples while freshly slaughtered chicken meat samples revealed E. coli (21.0%), Klebsiella spp (8.9%), Salmonella spp (30%), Campylobacter spp. (15.0%) and Staphylococcus aureus (24.0%). This showed that frozen chicken meats were more contaminated than freshly slaughtered chicken meats which might be associated with poor handling and storage conditions.

scholarly journals Prediction of Thiol Group Changes in Minced Raw and Cooked Chicken Meat with Plant Extracts—Kinetic and Neural Network Approaches

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1647
Author(s):  
Anna Kaczmarek ◽  
Małgorzata Muzolf-Panek
Keyword(s):  
Plant Extracts ◽  
Predictive Models ◽  
External Validation ◽  
Thiol Group ◽  
Chicken Meat ◽  
Validation Dataset ◽  
Heat Treated ◽  
Different Temperatures ◽  
Meat Samples ◽  
Network Approaches

The aim of the study was to develop predictive models of thiol group (SH) level changes in minced raw and heat-treated chicken meat enriched with selected plant extracts (allspice, basil, bay leaf, black seed, cardamom, caraway, cloves, garlic, nutmeg, onion, oregano, rosemary, and thyme) during storage at different temperatures. Meat samples with extract addition were stored under various temperatures (4, 8, 12, 16, and 20 °C). SH changes were measured spectrophotometrically using Ellman’s reagent. Samples stored at 12 °C were used as the external validation dataset. SH content decreased with storage time and temperature. The dependence of SH changes on temperature was adequately modeled by the Arrhenius equation with average high R2 coefficients for raw meat (R2 = 0.951) and heat-treated meat (R2 = 0.968). Kinetic models and artificial neural networks (ANNs) were used to build the predictive models of thiol group decay during meat storage. The obtained results demonstrate that both kinetic Arrhenius (R2 = 0.853 and 0.872 for raw and cooked meat, respectively) and ANN (R2 = 0.803) models can predict thiol group changes in raw and cooked ground chicken meat during storage.

Ultrasensitive determination of chloramphenicol in pork and chicken meat samples using a portable electrochemical sensor: effects of 2D nanomaterials on the sensing performance and stability

2021 ◽  
Author(s):  
Ngo Xuan Dinh ◽  
Tuyet Nhung Pham ◽  
Tran Quang Huy ◽  
Do Quang Trung ◽  
Pham Anh Tuan ◽  
...  
Keyword(s):  
Electrochemical Sensor ◽  
Food Samples ◽  
Chicken Meat ◽  
Electrochemical Sensing ◽  
Portable Sensors ◽  
2D Nanomaterials ◽  
Meat Samples ◽  
Sensing Performance

This work contributes to a deeper understanding of the effects of functional 2D nanomaterials on the electrochemical sensing performance of SPE-based portable sensors for the rapid, accurate, and on-site determination of CAP in food samples.

scholarly journals Helicobacter pullorum Isolated from Fresh Chicken Meat: Antibiotic Resistance and Genomic Traits of an Emerging Foodborne Pathogen

2015 ◽  
Vol 81 (23) ◽  
pp. 8155-8163 ◽  
Author(s):  
Vítor Borges ◽  
Andrea Santos ◽  
Cristina Belo Correia ◽  
Margarida Saraiva ◽  
Armelle Ménard ◽  
...  
Keyword(s):  
Membrane Filter ◽  
Acquired Resistance ◽  
Foodborne Pathogen ◽  
Meat Products ◽  
Chicken Meat ◽  
Filter Method ◽  
Type Vi Secretion System ◽  
Genetic Traits ◽  
Content Type ◽  
Meat Samples

ABSTRACTMeat and meat products are important sources of human intestinal infections. We report the isolation ofHelicobacter pullorumstrains from chicken meat. Bacteria were isolated from 4 of the 17 analyzed fresh chicken meat samples, using a membrane filter method. MIC determination revealed that the four strains showed acquired resistance to ciprofloxacin; one was also resistant to erythromycin, and another one was resistant to tetracycline. Whole-genome sequencing of the four strains and comparative genomics revealed important genetic traits within theH. pullorumspecies, such as 18 highly polymorphic genes (including a putative new cytotoxin gene), plasmids, prophages, and a complete type VI secretion system (T6SS). The T6SS was found in three out of the four isolates, suggesting that it may play a role inH. pullorumpathogenicity and diversity. This study suggests that the emerging pathogenH. pullorumcan be transmitted to humans by chicken meat consumption/contact and constitutes an important contribution toward a better knowledge of the genetic diversity within theH. pullorumspecies. In addition, some genetic traits found in the four strains provide relevant clues to how this species may promote adaptation and virulence.

scholarly journals Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Sylvio Barbon ◽  
Ana Paula Ayub da Costa Barbon ◽  
Rafael Gomes Mantovani ◽  
Douglas Fernandes Barbin
Keyword(s):  
Near Infrared ◽  
Prediction Models ◽  
Nir Spectroscopy ◽  
Quality Parameters ◽  
Chicken Meat ◽  
Poultry Meat ◽  
Spectral Information ◽  
Support Vector ◽  
Near Infrared Spectra ◽  
Meat Samples

Identification of chicken quality parameters is often inconsistent, time-consuming, and laborious. Near-infrared (NIR) spectroscopy has been used as a powerful tool for food quality assessment. However, the near-infrared (NIR) spectra comprise a large number of redundant information. Determining wavelengths relevance and selecting subsets for classification and prediction models are mandatory for the development of multispectral systems. A combination of both attribute and wavelength selection for NIR spectral information of chicken meat samples was investigated. Decision Trees and Decision Table predictors exploit these optimal wavelengths for classification tasks according to different quality grades of poultry meat. The proposed methodology was conducted with a support vector machine algorithm (SVM) to compare the precision of the proposed model. Experiments were performed on NIR spectral information (1050 wavelengths), colour (CIEL∗a∗b∗, chroma, and hue), water holding capacity (WHC), and pH of each sample analyzed. Results show that the best method was the REPTree based on 12 wavelengths, allowing for classification of poultry samples according to quality grades with 77.2% precision. The selected wavelengths could lead to potential simple multispectral acquisition devices.

scholarly journals Antibiotic resistance and residue in chicken, cattle, buffalo and goat meats in different southern districts of Bangladesh

2021 ◽  
Vol 5 (1) ◽  
pp. 19-26
Author(s):  
Bidyut Matubber ◽  
Farzana Islam Rume ◽  
Mohammad Enamul Hoque Kayesh ◽  
Mohammad Mahfuzur Rahman ◽  
Mohammad Rohul Amin ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Chicken Meat ◽  
Human Consumption ◽  
Antibiotic Residues ◽  
Salmonella Spp ◽  
Resistance Patterns ◽  
Cattle Meat ◽  
Meat Samples ◽  
Controlling Measures ◽  
Antibiotic Resistance Patterns

The presence of antibiotic residue in chicken and animal meats is a serious threat to human health due to its harmful effects. This study aimed at identifying the antibiotic resistance patterns of the isolates as well as antibiotic residues in chicken, cattle, buffalo and goat meats in different southern districts of Bangladesh. A total of 205 meat samples, including 70 chicken meat, 60 cattle meat, 50 buffalo meat and 25 goat meat were aseptically collected and analysed for the detection of antibiotic residues by thin layer chromatography and the isolates obtained from these samples were subjected to antibiogram study against 16 commonly used antibiotics. The isolates found in this study were Staphylococcus spp., Streptococcus spp., Escherichia coli, and Salmonella spp. and their prevalence were 37.5% (77/205), 22.1% (48/205), 29.7% (61/205), 8.7% (19/205), respectively. The isolates showed different degrees of sensitivity to the antibiotics used in the study. The most resistant phenotype was against cefradine, amoxicillin, penicillin, oxytetracycline, erythromycin, and enrofloxacin. 18.5% (38/205) meat samples were found to be positive for antibiotic residues and the highest prevalence was observed in chicken meat compared to other meat types. Overall, the findings of the study suggest that it is important to take controlling measures for the emergence of antibiotic resistance and also for ensuring healthy meats for human consumption. Asian Australas. J. Food Saf. Secur. 2021, 5 (1), 19-26

scholarly journals THE DIFFERENCE OF E.COLI CONTENT IN THE CHICKEN MEAT IN THE SOUTH KEPUTRAN TRADITIONAL MARKET AND SUPERMARKET ' X ' OF SURABAYA CITY

2019 ◽  
Vol 14 (1) ◽  
pp. 24
Author(s):  
Athalla Permana ◽  
R. Bambang W
Keyword(s):  
Bacterial Contamination ◽  
Chicken Meat ◽  
Personal Hygiene ◽  
Food Handler ◽  
The South ◽  
Cross Sectional ◽  
E Coli ◽  
Traditional Market ◽  
The Difference ◽  
Meat Samples

Hygiene and sanitation practices in chicken influenced Eschericia coli bacterial contamination in food. A Study conducted by Sasmita and Juwita mentioned that there was positively E.coli content in chicken meat in supermarket. Thus, the purpose of this study was to assess the difference of E.Coli content in chicken meat and personal hygiene of food handler. It was an observational study with cross sectional approach. The population of this study included traditional market sellers and supermarkets. The sample of this study consisted of 14 samples of chicken meat in which 7 samples came from the South Keputran traditional market and other 7 samples came from Supermarket ‘X’. Moreover, 7 traditional market sellers and 2 supermarkets were involved to be examined. Variables of the study were E.coli content in chicken meat from Traditional Market of South Keputran and Supermarket ‘X’ and personal hygiene. Samples of chicken meat was done by accidental sampling. Data were collected through interview and observation, whereas the difference of E-Coli content was analyzed using statistical test. The results of this study indicated that one of chicken meat samples positively contained E.Coli bacteria, and no significant differences of the E.coli content were found on the chicken meat samples from both the Traditional Market of South Keputran and Supermarket ‘X’. The suggestion that can be given to Supermarket ‘X’ seller is to control and pay close attention to the sanitation process from suppliers to retails

scholarly journals Comparative evaluation of cost effective extraction free molecular technique for detection of SARS-CoV-2 with reference to standard VTM based RT-qPCR method

2021 ◽  
Author(s):  
Megh Singh Dhakad ◽  
Sanjib Gogoi ◽  
Ansu Kumari ◽  
Aashish Kumar Singh ◽  
Manoj B. Jais ◽  
...  
Keyword(s):  
Detection Method ◽  
Cost Effective ◽  
Molecular Technique ◽  
Rt Pcr ◽  
Index Method ◽  
Resource Limited ◽  
Qpcr Method ◽  
Kappa Value ◽  
The Cost ◽  
Higher Sensitivity

Background and Objectives: The entire globe is undergoing an unprecedented challenge of COVID-19. Considering the need of rapid and accurate diagnostic tests for SARS-CoV-2, this study was planned to evaluate the cost effective extraction free RT-PCR technique in comparison to the standard VTM based RT-qPCR method. Materials and Methods: Paired swabs from nasopharynx and oropharynx were collected for SARS-CoV-2 testing, from 211 adult patients (≥18 years) in VTM and plain sterile tubes (dry swabs). These samples were processed and RT-qPCR was carried out as per standard protocols. Results: 54.5% of the patients were females and 45.5% were males with sex ratio 1:1.19 (M: F). 38.86% were symptomatic, of which fever (86.59%), cough (79.23%) and breathlessness (46.34%) were the most common symptoms. The positivity by VTM based method and index method was 31.27% and 13.27% respectively. Of the 27 inconclusive results from index method, 37.04% were positive, 48.15% were negative by VTM based method. However, in 40 inconclusive results by VTM based method, 90% were negative and rest remained inconclusive by index method. The sensitivity and specificity of the index method were 39.39% and 85.71% respectively. The overall agreement between VTM based method and index method was 49.59% with estimated Kappa value of 0.19. Conclusion: VTM based method showed higher sensitivity compared to the index method. The higher positivity by VTM based method, suggests that VTM based method could plausibly be a better detection method of SARS-CoV-2. Still, the index method might add value in a resource limited setups for detection of SARS-CoV-2.  

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