Influence of electrical stunning voltage on bleed out, sensory parameters and color in chicken meat quality

Ciobanu, Marius Mihai; Corneliu, Boişteanu Paul; Lazăr, R.; Narcisa, Postolache Alina; Saccà, Elena; Bugeac, Teodor; Piasentier, Edi

doi:10.1016/j.copbio.2013.05.263

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…The outcomes of the present work confirm the efficacy of high frequency combined with the high root mean square current up to 200 mA as already reported by Raj [ 25 ] and Girasole [ 2 ]. This latter aspect is confirmed also by the studies of Karunanayaka [ 31 ] and Ciobanu [ 32 ] which demonstrated that the use of high frequencies speeds up the stunning process in broilers and, concerning the intensity of the current, makes stunning more effective. Based on these considerations, the combinations of stunning electrical parameters proposed appear effective to induce suppression of stunning ineffectiveness.…”

Section: Discussionmentioning

confidence: 56%

The Influence of Broilers’ Body Weight on the Efficiency of Electrical Stunning and Meat Quality under Field Conditions

Smaldone

Capezzuto²,

Ambrosio

et al. 2021

Animals

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Water-bath stunning represents the most-applied stunning system in poultry slaughtering, but within the European Union, specific indications on electric parameters that should be used, such as voltage, are missing. The objective of this study was to evaluate the efficiency of two commercially available types of electrical equipment (A and B) on broilers with different live body weights and the influence of the tested parameters on meat quality. Experimental trials in a European Union-approved slaughterhouse were carried out using two different stunners. 6600 broilers, divided into three weight groups, were stunned applying different protocols based on the same current frequencies and intensity but different voltages. The state of unconsciousness (presence of corneal reflex and wings flapping) and post-mortem defects (pectoral hemorrhages and dark meat) were evaluated by blinded trained operators. The presence of corneal reflex and petechiae were the most reported consciousness signs and post-mortem injuries, respectively. Different weights played an important role within stunner A, registering statistical differences (p < 0.01) among groups. Considering injuries, an inverse relationship between body weight and lesions was found. The results highlighted the effectiveness of both stunning systems applying the best combination of electrical parameters considering the weight of the animal and ensuring its well-being.

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Section: Discussionmentioning

confidence: 56%

The Influence of Broilers’ Body Weight on the Efficiency of Electrical Stunning and Meat Quality under Field Conditions

Smaldone

Capezzuto²,

Ambrosio

et al. 2021

Animals

View full text Add to dashboard Cite

show abstract

“…High frequency stunning may also reduce blood retention in the viscera, increasing liver yield. In addition, stunning is faster and, depending on the current intensity, the broiler can be more efficiently stunned (Komiyama et al, 2006;Ciobanu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Efficiency of Electrical Stunning by Electronarcosis: Current Situation and Perspective of Improvement in a Medium-Size Processing Plant

Barbosa

Adamczuk

Dvojatzki

et al. 2016

Rev. Bras. Cienc. Avic.

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Keywords Broilers, animal welfare, electric stunning by electronarcosis, stunning severity index, Statistical Process Control, control charts. ABStRACtThe objective of this study was to evaluate the efficiency of electrical stunning by electronarcosis in a medium-size poultry processing plant located in southern Brazil. The current measurement of this type of stunning is presented, and then improvements to this method are proposed. Data were collected for 90 days. A quality indicator was proposed: the Stunning Severity Index (SSI), which includes elements of Statistical Process Control (SPC) using a p-chart (proportion chart) and measures. This index comprises the variables "wing-flapping," "arched head," and "rhythmic breathing." Using the proposed index, 5% of the birds, on average, presented inefficient stunning symptoms.

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“…However, when insufficiently stunned (i.e., the electrical current reaching the brain is too low), broilers still sensitive to pain and stress (Devos et al, 2018 ), clonic-tonic convulsions (death struggle) will occur, leading to carcass damage (broken wings and clavicles) (Bourassa et al, 2017 ). Excessive stunning can also result in quality defects, such as clavicle rupture, bleeding from arteries and capillaries, and a large number of needle-like blood spots near the top of the chest (Ciobanu et al, 2013 ). Therefore, moderate stunning plays an important role in ensuring the quality of chicken meat.…”

Section: Introductionmentioning

confidence: 99%

Broiler stunned state detection based on an improved fast region-based convolutional neural network algorithm

Yousaf

Chen

et al. 2020

Poultry Science

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An improved fast region-based convolutional neural network (RCNN) algorithm is proposed to improve the accuracy and efficiency of recognizing broilers in a stunned state. The algorithm recognizes 3 stunned state conditions: insufficiently stunned, moderately stunned, and excessively stunned. Image samples of stunned broilers were collected from a slaughter line using an image acquisition platform. According to the format of PASCAL VOC (pattern analysis, statistical modeling, and computational learning visual object classes) dataset, a dataset for each broiler stunned state condition was obtained using an annotation tool to mark the chicken head and wing area in the original image. A rotation and flip data augmentation method was used to enhance the effectiveness of the datasets. Based on the principle of a residual network, a multi-layer residual module (MRM) was constructed to facilitate more detailed feature extraction. A model was then developed (entitled here Faster-RCNN+MRMnet) and used to detect broiler stunned state conditions. When applied to a reinforcing dataset containing 27,828 images of chickens in a stunned state, the identification accuracy of the model was 98.06%. This was significantly higher than both the established back propagation neural network model (90.11%) and another Faster-RCNN model (96.86%). The proposed algorithm can complete the inspection of the stunned state of more than 40,000 broilers per hour. The approach can be used for online inspection applications to increase efficiency, reduce labor and cost, and yield significant benefits for poultry processing plants.

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Influence of electrical stunning voltage on bleed out, sensory parameters and color in chicken meat quality

Cited by 4 publications

References 3 publications

The Influence of Broilers’ Body Weight on the Efficiency of Electrical Stunning and Meat Quality under Field Conditions

The Influence of Broilers’ Body Weight on the Efficiency of Electrical Stunning and Meat Quality under Field Conditions

Efficiency of Electrical Stunning by Electronarcosis: Current Situation and Perspective of Improvement in a Medium-Size Processing Plant

Broiler stunned state detection based on an improved fast region-based convolutional neural network algorithm

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