Evaluation of dynamic stress level and physiological change for live salmon in waterless and low-temperature transportation

Feng, Huanhuan; Zhang, Mengjie; Zhang, Luwei; Chen, Bingqi; Zhang, Xiaoshuan

doi:10.1016/j.aquaculture.2021.737128

Cited by 26 publications

(9 citation statements)

References 26 publications

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“…Feng et al found similar results to this paper in the waterless live transportation experiment of salmon. Within two hours, the respiration of the grouper did not undergo severe mutation when it was stressed [ 11 ]. Fan et al and Das et al also found that the respiration rate of the grouper increased with the temperature, and the respiration rate was about 0.27 Hz at 12 °C [ 23 , 24 ].…”

Section: Resultsmentioning

confidence: 99%

“…According to the Nyquist–Shannon sampling theorem, the system can theoretically measure a maximum respiration rate of 10 Hz, while in practice, due to the presence of noise, the maximum respiration rate is 2.5 Hz, which is one-fourth of the theoretical value. The respiration rate of the different species of fish during the waterless live transportation is generally less than 1 Hz [ 4 , 11 ]. Setting a higher sampling frequency can increase the maximum respiration rate, and even make it possible to monitor the heart rate of grouper in the future.…”

Section: Resultsmentioning

confidence: 99%

“…Traditional methods of breathing rate detection are generally achieved by direct contact between the living aquatic product and wearable sensors or adhesive electrodes. However, wearable sensors can not only put pressure on the living aquatic product and limit its movement, but also create problems with fixation [ 11 ]. Therefore, working out how to realize the non-destructive measurement of breathing is an urgent problem.…”

Section: Introductionmentioning

confidence: 99%

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Millimeter Wave-Based Non-Destructive Biosensor System for Live Fish Monitoring

Wang

Yang

et al. 2022

Biosensors

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Waterless transportation for live grouper is a novel mode of transport that not only saves money, but also lowers wastewater pollution. Technical obstacles remain, however, in achieving intelligent monitoring and a greater survival rate. During live grouper waterless transportation, the stress response is a key indicator that affects the survival life-span of the grouper. Studies based on breathing rate analysis have demonstrated that among many stress response parameters, breathing rate is the most direct parameter to reflect the intensity. Conventional measurement methods, which set up sensors on the gills of groupers, interfere with the normal breathing of living aquatic products and are complex in system design. We designed a new breathing monitoring system based on a completely non-destructive approach. The system allows the real-time monitoring of living aquatic products’ breathing rate by simply placing the millimeter wave radar on the inner wall of the incubator and facing the gills. The system we developed can detect more parameters in the future, and can replace the existing system to simplify the study of stress responses.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Millimeter Wave-Based Non-Destructive Biosensor System for Live Fish Monitoring

Wang

Yang

et al. 2022

Biosensors

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“…It is important to ensure the survival of oysters from harvesting to marketing, which has a strong impact on economic efficiency. The reasonable transportation strategy effectively reduces the metabolism and oxygen consumption of oysters, and has the advantages of green, efficient, and low‐carbon (Feng et al, 2021; Xiao et al, 2015). However, live oyster transportation is susceptible to environmental factors, which leads to continuous physiological stress that not only affects health and reduces survival rate but also affects oyster meat quality (Zhang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Enhancing quality assessment of live Pacific oysters (Crassostrea gigas) using flexible sensors real‐time monitoring physiological signals

Liu,

Qu,

Glamuzina

et al. 2024

J Food Process Engineering

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Shell‐closing strength (SCS) is commonly used to assess oyster vigor and quality as an important physiological stress indicator of the oyster organism. In this study, a quality decision support system based on flexible wireless sensor network and web services was designed and developed to explore the application of SCS in the rapid assessment of vitality and quality. Based on physiological and environmental information collected by flexible wireless sensor networks, this study proposes a novel quantitative vitality assessment method to identify oyster life decline cycles and processes. Meanwhile, TVB‐N, TVC, and pH were selected as quality indicators, and a back‐propagation artificial neural network (BP‐ANN) was used to predict and evaluate oyster quality indicators. The results showed that the root mean square errors (RMSE) for TVB‐N, TVC, and pH were 0.4624, 0.8827, and 0.1941; the coefficients of determination (R2) were 0.8919, 0.8578, and 0.6249. Therefore, the rapid assessment of oyster vitality and quality based on a flexible wireless sensor network is a reliable and effective means.Practical applicationsThis study aims to explore the application of live oyster SCS for rapid quality evaluation. In this article, a quality decision support system based on a flexible wireless sensor network (WSN) and web services is developed to improve the quality and health of live oysters in the supply chain. The use of the multi‐sensor system enables the monitoring and collection of environmental and physiological signals of live oysters throughout the supply chain process. The evaluation of the quality of live oysters using physiological and environmental information collected by flexible wireless sensor networks is a reliable and efficient method. This will provide an effective and reliable quality evaluation and management for the oyster industry.

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“…Wireless sensor network (WSN) provides an opportunity to address real‐time dynamic monitoring (Xiao et al, 2017). In WSN applications, the most widely used protocols are ZigBee, WIFI, and Bluetooth (Feng et al, 2021; Mois et al, 2017; Zhang et al, 2021). Among them, ZigBee is an energy‐saving solution, but it requires additional hardware facilities to realize the function, and cannot meet certain reliability requirements.…”

Section: Introductionmentioning

confidence: 99%

Flexible wireless in situ optical sensing system for banana ripening monitoring

Wang,

Zhang,

et al. 2023

J Food Process Engineering

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Determining the ripening level of bananas in the environment of banana ripening plays an important role in ensuring the quality of bananas, reducing losses and waste, and improving economic benefits. Traditional monitoring methods face a series of challenges such as inefficiency, high energy consumption, and high cost. This paper aims to develop a flexible wireless in situ optical sensing system (FIS) for banana ripening monitoring with a good prediction effect, low energy consumption, and high economy. When monitoring the ripening process, the ripeness of the bananas can be accurately determined without taking out the bananas. Among them, the prediction effect on soluble solid content and a* is the best, the residual predictive deviation value is above 3, and the classification accuracy is as high as 95%. Compared to other commercially available spectrometers, the device exhibits the lowest power consumption characteristics. The theoretical maximum energy consumption of the FIS is only 627 mW, and a single measurement only consumes 15 J. The overall price of the FIS does not exceed $60. The application of the FIS can effectively reduce the waste of bananas during the ripening process, and greatly alleviate the labor‐intensive and inefficient problems of fruit maturity monitoring, thereby promoting more sustainable and cleaner production in the banana industry.

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Evaluation of dynamic stress level and physiological change for live salmon in waterless and low-temperature transportation

Cited by 26 publications

References 26 publications

Millimeter Wave-Based Non-Destructive Biosensor System for Live Fish Monitoring

Millimeter Wave-Based Non-Destructive Biosensor System for Live Fish Monitoring

Enhancing quality assessment of live Pacific oysters (Crassostrea gigas) using flexible sensors real‐time monitoring physiological signals

Flexible wireless in situ optical sensing system for banana ripening monitoring

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