scholarly journals A Note on the Effects of Yoghurt Acid Whey Marination on the Tenderness and Oxidative Stability of Different Meat Types

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2557
Author(s):  
Panagiotis Simitzis ◽  
Fotini Zikou ◽  
Dionisis Progoulakis ◽  
Georgios Theodorou ◽  
Ioannis Politis
Keyword(s):  
Oxidative Stability ◽  
Quality Parameters ◽  
Chicken Meat ◽  
Meat Tenderness ◽  
Negative Effects ◽  
Oxidation Rates ◽  
Acid Whey ◽  
Novel Strategy ◽  
Meat Samples ◽  
Cooked Meat

The aim of this preliminary study was to examine the effects of yoghurt acid whey (YAW) marination on quality parameters and the oxidative stability of pork, lamb, rabbit and chicken meat. Twenty-four samples per meat type were randomly allocated to one of four groups: CON, without any treatment; YAW1 and YAW2, where samples were marinated for 20 h at 4 °C at a pH of 5 or 4.5, respectively; and YAW3, where samples were treated as in the YAW2 group except hesperidin was also added at the level of 2 g/L. As indicated, meat tenderness was improved as a result of YAW marination, apart from the chicken samples. In general, values of pH, redness and yellowness were decreased after immersion in YAW both in raw and cooked samples. However, lightness was increased in the raw meat samples as a result of YAW marination, though this effect was not observed in the cooked meat samples with the exception of chicken meat. Chroma values were higher in controls compared to YAW-treated groups in raw pork and lamb meat, while no significant differences regarding chroma were found among groups in cooked lamb and rabbit meat. Hue angle values were greater in YAW-treated groups compared to controls in raw samples, whereas no significant differences among groups were indicated in cooked meat. Meat oxidation rates were not affected by treatment with YAW and the hesperidin addition, which improved the oxidative stability of lamb and chicken meat. Thus, YAW marination could be recommended as a novel strategy that improves meat tenderness without negative effects on the other quality characteristics.

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 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 Linseed oil: Characterization and study of its oxidative degradation

2020 ◽  
Vol 71 (1) ◽  
pp. 337 ◽  
Author(s):  
B. M. Berto ◽  
R. K.A. Garcia ◽  
G. D. Fernandes ◽  
D. Barrera-Arellano ◽  
G. G. Pereira
Keyword(s):  
Fatty Acid ◽  
Oxidative Stability ◽  
Induction Period ◽  
Room Temperature ◽  
Linseed Oil ◽  
Oxidative Degradation ◽  
Acid Value ◽  
Quality Parameters ◽  
Time Intervals ◽  
Accelerated Oxidation

This paper proposes to characterize and monitor the degradation of linseed oil under two oxidation conditions using some traditional oxidative and quality parameters. The experimental section of this study was divided into 2 stages. In the first one, three commercial linseed oil samples (OL1, OL2, and OL3) were characterized according to oxidative stability (90 °C) and fatty acid composition. In the second stage, the OL1 sample, selected due to its availability, was subjected to the following oxidation procedures: storage at room temperature conditions with exposure to light and air (temperature ranging from 7 to 35 °C) for 140 days and accelerated oxidation at 100 °C for 7h. Samples were collected at different time intervals and analyzed for oxidative stability (90 °C), peroxide value, and acid value. The results showed that all the samples presented a similar fatty acid profile and that the OL3 sample showed a higher induction period (p < 0.05). Regarding the oxidative degradation, the induction period of the OL1 sample reduced from 9.7 to 5.7 and 9.7 to 6.3 during 140 days of storage under room temperature and 7 h of accelerated oxidation, respectively. The end of induction period of the OL1 sample is expected to occur within 229 days according to an exponential mathematical model fitted to the induction period values at different temperatures. In addition, the OL1 sample met the limits proposed by Codex and Brazilian regulations for peroxide and acid values during the oxidation time intervals.

scholarly journals GPR21 Inhibition Increases Glucose-Uptake in HepG2 Cells

2021 ◽  
Vol 22 (19) ◽  
pp. 10784
Author(s):  
Gemma K. Kinsella ◽  
Stefania Cannito ◽  
Valentina Bordano ◽  
John C. Stephens ◽  
Arianna C. Rosa ◽  
...  
Keyword(s):  
Glucose Uptake ◽  
Hepg2 Cells ◽  
Insulin Signalling ◽  
Hepatic Insulin Resistance ◽  
In Vivo Studies ◽  
Negative Effects ◽  
Cellular Models ◽  
Insulin Signalling Pathway ◽  
Novel Strategy

GPR21 is a constitutively active, orphan, G-protein-coupled receptor, with in vivo studies suggesting its involvement in the modulation of insulin sensitivity. However, its precise contribution is not fully understood. As the liver is both a major target of insulin signalling and critically involved in glucose metabolism, the aim of this study was to examine the role of GPR21 in the regulation of glucose uptake and production in human hepatocytes. In particular, HepG2 cells, which express GPR21, were adopted as cellular models. Compared with untreated cells, a significant increase in glucose uptake was measured in cells treated with siRNA to downregulate GPR21 expression or with the GPR21-inverse agonist, GRA2. Consistently, a significantly higher membrane translocation of GLUT-2 was measured under these conditions. These effects were accompanied by an increased ratio of phAKT(Ser473)/tot-AKT and phGSK-3β(Ser9)/tot-GSK-3β, thus indicating a marked activation of the insulin signalling pathway. Moreover, a significant reduction in ERK activation was observed with GPR21 inhibition. Collectively, these results indicate that GPR21 mediates the negative effects on glucose uptake by the liver cells. In addition, they suggest that the pharmacological inhibition of GPR21 could be a novel strategy to improve glucose homeostasis and counteract hepatic insulin resistance.

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 Incidence and contamination level of Clostridium perfringens in meat and meat products sold in Sakarya province of Turkey

2021 ◽  
Vol 7 (3) ◽  
pp. 172-178
Author(s):  
Serap Coşansu ◽  
Şeyma Şeniz Ersöz
Keyword(s):  
Clostridium Perfringens ◽  
Meat Product ◽  
Meat Products ◽  
Ground Beef ◽  
Chicken Meat ◽  
Contamination Level ◽  
Biochemical Tests ◽  
Contamination Levels ◽  
Emulsified Meat ◽  
Cooked Meat

Totally 101 meat and meat product samples obtained from local markets and restaurants were analyzed for incidence and contamination level of Clostridium perfringens. The typical colonies grown anaerobically on Tryptose Sulfite Cycloserine Agar supplemented with 4-Methyliumbelliferyl (MUP) were confirmed by biochemical tests. Forty-eight of the samples (47.5%) were contaminated with C. perfringens. The highest incidence of the pathogen was determined in uncooked meatball samples (72.2%) followed by ground beef samples (61.3%). The incidence of C. perfringens in chicken meat, cooked meat döner, cooked chicken döner and emulsified meat product samples were 33.3, 33.3, 28.6 and 16.7%, respectively. Thirteen out of 101 samples (12.9%) yielded typical colonies on TSC-MUP Agar, but could not be confirmed as C. perfringens. Average contamination levels in sample groups ranged from 8.3 to 1.5×102 cfu/g, with the highest ground beef and the lowest chicken meat.

scholarly journals Oxidative stability of chicken meat after application phytogenic additives in their diet

2015 ◽  
Vol 4 (Special issue 3) ◽  
pp. 14-17
Author(s):  
Marek Bobko ◽  
Peter Haščík ◽  
Tomáš Tóth ◽  
Vladimíra Kňazovická ◽  
Martin Mellen ◽  
...  
Keyword(s):  
Oxidative Stability ◽  
Chicken Meat
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