Tetracycline and ciprofloxacin multiresidues in beef and chicken meat samples using indirect competitive ELISA

2019 ◽  
Vol 40 (3) ◽  
pp. 328-342 ◽  
Author(s):  
Akram Baghani ◽  
Alireza Mesdaghinia ◽  
Mahsa Rafieiyan ◽  
Mohammad Mahdi Soltan Dallal ◽  
Masoumeh Douraghi
Keyword(s):  
Competitive Elisa ◽  
Chicken Meat ◽  
Indirect Competitive Elisa ◽  
Meat Samples

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.

Amperometric Immunoassay of Azinphos‐Methyl in Water and Honeybees Based on Indirect Competitive ELISA

2008 ◽  
Vol 41 (3) ◽  
pp. 392-405 ◽  
Author(s):  
Alexey Ivanov ◽  
Gennady Evtugyn ◽  
Herman Budnikov ◽  
Stefano Girotti ◽  
Severino Ghini ◽  
...  
Keyword(s):  
Competitive Elisa ◽  
Indirect Competitive Elisa ◽  
Azinphos Methyl

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 Occurrence and antimicrobial susceptibility of Salmonella isolates from grilled chicken meat sold at retail outlets in Erbil City, Kurdistan region, Iraq

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Dhary A. Almashhadany
Keyword(s):  
Public Health ◽  
Health Hazard ◽  
Public Health Problem ◽  
Chicken Meat ◽  
Major Public Health Problem ◽  
Antibiotic Resistance Profile ◽  
Retail Outlets ◽  
Disk Diffusion Assay ◽  
Antibiotics Sensitivity ◽  
Meat Samples

Food borne salmonellosis is a major public health problem worldwide. This study aimed to detect the occurrence and antibiotics sensitivity of Salmonella species in grilled chicken meat sold at retail outlets in Erbil City, Kurdistan, Iraq. Two hundred and twenty-five (225) samples were aseptically collected from central and suburb retail outlets. For isolation of salmonellae, samples were cultured on selective media and tested for their susceptibility to common antibiotics by disk diffusion assay. The results revealed that the overall prevalence of Salmonella among grilled chicken meat samples was 7.1%. The isolates belonged to eight different serotypes of Salmonella. These include S. Typhimurium, S. Tennessee, S. Newport, S. Enteritidis, S. Anatum, S. Arizona, S. Muenchen, and S. Montevideo. The antibiotic resistance profile revealed a total resistance to Levofloxacin and total sensitivity to Cefotaxime, Amoxicillin, and Cefadroxil. This resistance among Salmonella may pose a public health hazard that requires effective precautions and response.

scholarly journals Antimicrobial Susceptibility Pattern of Gram-Negative Bacterial Isolates from Raw Chicken Meat Samples

2019 ◽  
Vol 6 ◽  
pp. 89-95
Author(s):  
Neha Gautam ◽  
Rojan Poudel ◽  
Binod Lekhak ◽  
Milan Kumar Upreti
Keyword(s):  
Antimicrobial Resistance ◽  
Pathogenic Bacteria ◽  
Chicken Meat ◽  
Food Microbiology ◽  
Diffusion Method ◽  
Resistance Pattern ◽  
Kathmandu Valley ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Meat Samples

Objectives: This research aims to study the microbial quality of chicken meat available in retail shop of Kathmandu Valley. Methods:  This Study was conducted from June to December 2018 in three different districts of Kathmandu Valley. Samples were collected in sterile plastic bags, labeled properly and stored in an icebox and transported to the Food Microbiology laboratory of Golden Gate International College.  During sample preparation, 25 grams of each sample was taken and transferred to sterile flasks containing 225 ml of buffered peptone water. Potential pathogenic Gram-negative bacteria were isolated by using respective selective media and identified by biochemical test. Antibiotic susceptibility profile of isolates was carried out by Kirby-Bauer disc diffusion method according to CLSI 2017 guideline. Results: Of total 81 chicken meat samples processed; 201 Gram negative bacteria were isolated.  E. coli (100%) was the dominant Gram-negative isolates, followed by Citrobacter spp (62.96%), Pseudomonas spp (40.74%), Proteus spp (19.75%), Salmonella spp (16.04%) and Klebsiella spp (8.64%) respectively. No any multidrug isolates were detected. Conclusion: The study showed that the raw chicken meat samples of Kathmandu valley was highly contaminated with Gram negative potential pathogenic bacteria. Antimicrobial resistance pattern shown by the isolates may indicates that there is not overuse of drug in animals and the less chance of risk of increasing antimicrobial resistance.

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