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Live fish waterless transportation is a low cost and promising strategy. But how to improve survival rate and reduce stress are challenging goal. This paper aims to explore the effect of ambient and stress indicators on fish state in waterless transportation. Multi-sensors ambient indicators and breath rate stress indicator monitoring system were designed and implemented in live salmon waterless transportation. Dynamic probing for fish stress changes in term of acceleration sensor-based that is a significant survey to get optimum temperature and improve fish survival rate. The critical indicators dynamic prediction and live salmon state diagnosis model were developed by using CNN-SVM algorithm. And stress level evaluation model is established based on ambient indicators and stress indicator by using fuzzy comprehensive evaluation method. After 10h waterless transportation, the quality indicators i.e. texture, color and pH changes were measured and evaluated. The results show that multi-sensors real-time monitoring are significant to improve survival rate and fish flesh. Quality properties of live salmon samples decreased more slowly than dead salmon. This will provide an effective and reliable survival evaluation and transportation management.
Huanhuan Feng; Mengjie Zhang; Luwei Zhang; Bingqi Chen; Xiaoshuan Zhang. Evaluation of dynamic stress level and physiological change for live salmon in waterless and low-temperature transportation. Aquaculture 2021, 544, 737128 .
AMA StyleHuanhuan Feng, Mengjie Zhang, Luwei Zhang, Bingqi Chen, Xiaoshuan Zhang. Evaluation of dynamic stress level and physiological change for live salmon in waterless and low-temperature transportation. Aquaculture. 2021; 544 ():737128.
Chicago/Turabian StyleHuanhuan Feng; Mengjie Zhang; Luwei Zhang; Bingqi Chen; Xiaoshuan Zhang. 2021. "Evaluation of dynamic stress level and physiological change for live salmon in waterless and low-temperature transportation." Aquaculture 544, no. : 737128.
Precision, sustainability and intelligence are the development trend of livestock farming in the future. Precision livestock farming (PLF) is a key step to achieve the sustainable development of smart farms, but it is still in the initial stage and has broad prospects. In order to realize precise livestock production, it is necessary to speed up the popularization of intelligent technologies such as environmental control, disease early warning, precise feeding and remote diagnosis. By analyzing the background and technical features of wearable Internet of Things (W-IoT), this paper puts forward a new scheme of applying W-IoT to PLF. Through the detailed survey of the related research on W-IoT and PLF, we believe that precise perception of information, biocompatibility of wearable devices, and sustainability monitoring of wearable systems are necessary contents. However, most wearable technologies that can generate precise, dynamic and sustainable signals are only applicable to humans, and rarely modified or tested specifically for farm animals. At present, these innovative technologies are gradually promoted to livestock farming, which are expected to become one of the most effective solutions for PLF in smart farms. In addition, this paper also discusses the benefits, challenges and prospects of the W-IoT in farm animals.
Mengjie Zhang; Xuepei Wang; Huanhuan Feng; Qiuyi Huang; Xinqing Xiao; Xiaoshuan Zhang. Wearable Internet of Things enabled precision livestock farming in smart farms: A review of technical solutions for precise perception, biocompatibility, and sustainability monitoring. Journal of Cleaner Production 2021, 312, 127712 .
AMA StyleMengjie Zhang, Xuepei Wang, Huanhuan Feng, Qiuyi Huang, Xinqing Xiao, Xiaoshuan Zhang. Wearable Internet of Things enabled precision livestock farming in smart farms: A review of technical solutions for precise perception, biocompatibility, and sustainability monitoring. Journal of Cleaner Production. 2021; 312 ():127712.
Chicago/Turabian StyleMengjie Zhang; Xuepei Wang; Huanhuan Feng; Qiuyi Huang; Xinqing Xiao; Xiaoshuan Zhang. 2021. "Wearable Internet of Things enabled precision livestock farming in smart farms: A review of technical solutions for precise perception, biocompatibility, and sustainability monitoring." Journal of Cleaner Production 312, no. : 127712.
Fruit and vegetable (F&V) harvested from plants trigger a series of stress-related physiological processes, potentially resulting in quality deterioration and considerable losses. Cold chain acting as abiotic stressors and activation of specific pathways to maintains metabolic activities is an effective way to reduce postharvest F&V loss. To this end, real-time monitoring of the micro-environment of the cold chain is an important approach. While temperature and humidity are routinely monitored nowadays, gas is much less explored despite it deeply interacts with the product quality of cold chain. This article analyzes the requirement for quality sensing via gas signal, reviews existing and emerging gas sensor technology and gas signal processing method for F&V cold chain. Furthermore, mathematical models, which interpret sensed gas data and predict product quality, are systematically analyzed and discussed. Gas sensor technology and associated modelling method is an effective approach to improve transparency and product quality for F&V cold chain. The results illustrate that the gas sensor for quality sensing of F&V cold chain should have characteristic with high precise resolution and full scale, low power consumption, low cost and smaller size, existed gas sensors have been gradually developed from a single unit to a plurality of components, specially rigid and flexible structural materials and manufacturing process. Existing mathematical models still have limited prediction accuracy that gas signal interfere product quality. Then, the model need improve the performances to explain the complex interaction relationship between gas and quality.
Xiang Wang; Huanhuan Feng; Tao Chen; Shuang Zhao; Jian Zhang; Xiaoshuan Zhang. Gas sensor technologies and mathematical modelling for quality sensing in fruit and vegetable cold chains: A review. Trends in Food Science & Technology 2021, 110, 483 -492.
AMA StyleXiang Wang, Huanhuan Feng, Tao Chen, Shuang Zhao, Jian Zhang, Xiaoshuan Zhang. Gas sensor technologies and mathematical modelling for quality sensing in fruit and vegetable cold chains: A review. Trends in Food Science & Technology. 2021; 110 ():483-492.
Chicago/Turabian StyleXiang Wang; Huanhuan Feng; Tao Chen; Shuang Zhao; Jian Zhang; Xiaoshuan Zhang. 2021. "Gas sensor technologies and mathematical modelling for quality sensing in fruit and vegetable cold chains: A review." Trends in Food Science & Technology 110, no. : 483-492.
Freshwater aquaculture is the main form of aquaculture in inland areas, and pollution is a significant challenge. The aim of this work was to propose an effective risk assessment method for aquaculture to predict pollutant bioaccumulation in fish tissue based on water environment variables. This method was designed to assess the risk of pollutant levels in fish tissue that exceed China’s food safety standards. Firstly, field observation and investigation were conducted to analyze the migration mechanisms of the main pollutants between fish tissue and the water environment. Secondly, a classification and regression tree (CART) and generalized additive model (GAM) nexus method was used to analyze the environmental variables related to pollutants in the water environment and establish prediction models. Finally, models of the bio-reaction kinetics were established to predict the pollutant bioaccumulation in fish tissue. The experimental results indicate that the GAM models could explain 73.7%, 84.4%, and 84.5% of the deviations for the three predicted pollutants. For 90% of the sample data, the accuracy of the bioaccumulation prediction was 93.44% for volatile phenol bioaccumulation, and 90.16% for Cu and coliform bioaccumulation. The proposed risk assessment method could be extended for aquaculture applications that require monitoring of additional parameters to safeguard aquaculture quality and facilitate effective safety risk management.
Xuebing Bai; Zetian Fu; Nan Li; Stevan Stankovski; Xiaoshuan Zhang; Xinxing Li. Water environmental nexus-based quality and safety risk assessment for fish (Carassius auratus) in aquaculture. Journal of Cleaner Production 2020, 288, 125633 .
AMA StyleXuebing Bai, Zetian Fu, Nan Li, Stevan Stankovski, Xiaoshuan Zhang, Xinxing Li. Water environmental nexus-based quality and safety risk assessment for fish (Carassius auratus) in aquaculture. Journal of Cleaner Production. 2020; 288 ():125633.
Chicago/Turabian StyleXuebing Bai; Zetian Fu; Nan Li; Stevan Stankovski; Xiaoshuan Zhang; Xinxing Li. 2020. "Water environmental nexus-based quality and safety risk assessment for fish (Carassius auratus) in aquaculture." Journal of Cleaner Production 288, no. : 125633.
Salmon is a highly perishable food due to temperature, pH, odor, and texture changes during cold storage. Intelligent monitoring and spoilage rapid detection are effective approaches to improve freshness. The aim of this work was an evaluation of IoT-enabled monitoring system (IoTMS) and electronic nose spoilage detection for quality parameters changes and freshness under cold storage conditions. The salmon samples were analyzed and divided into three groups in an incubator set at 0 °C, 4 °C, and 6 °C. The quality parameters, i.e., texture, color, sensory, and pH changes, were measured and evaluated at different temperatures after 0, 3, 6, 9, 12, and 14 days of cold storage. The principal component analysis (PCA) algorithm can be used to cluster electronic nose information. Furthermore, a Convolutional Neural Networks and Support Vector Machine (CNN-SVM) based algorithm is used to cluster the freshness level of salmon samples stored in a specific storage condition. In the tested samples, the results show that the training dataset of freshness is about 95.6%, and the accuracy rate of the test dataset is 93.8%. For the training dataset of corruption, the accuracy rate is about 91.4%, and the accuracy rate of the test dataset is 90.5%. The overall accuracy rate is more than 90%. This work could help to reduce quality loss during salmon cold storage.
Huanhuan Feng; Mengjie Zhang; Pengfei Liu; Yiliu Liu; Xiaoshuan Zhang. Evaluation of IoT-Enabled Monitoring and Electronic Nose Spoilage Detection for Salmon Freshness During Cold Storage. Foods 2020, 9, 1579 .
AMA StyleHuanhuan Feng, Mengjie Zhang, Pengfei Liu, Yiliu Liu, Xiaoshuan Zhang. Evaluation of IoT-Enabled Monitoring and Electronic Nose Spoilage Detection for Salmon Freshness During Cold Storage. Foods. 2020; 9 (11):1579.
Chicago/Turabian StyleHuanhuan Feng; Mengjie Zhang; Pengfei Liu; Yiliu Liu; Xiaoshuan Zhang. 2020. "Evaluation of IoT-Enabled Monitoring and Electronic Nose Spoilage Detection for Salmon Freshness During Cold Storage." Foods 9, no. 11: 1579.
Due to the presence of bioactive compounds, fruits are an essential part of people’s healthy diet. However, endogenous ethylene produced by climacteric fruits and exogenous ethylene in the microenvironment could play a pivotal role in the physiological and metabolic activities, leading to quality losses during storage or shelf life. Moreover, due to the variety of fruits and complex scenarios, different ethylene control strategies need to be adapted to improve the marketability of fruits and maintain their high quality. Therefore, this study proposed an ethylene dynamic monitoring based on multi-strategies control to reduce the post-harvest quality loss of fruits, which was evaluated here for blueberries, sweet cherries, and apples. The results showed that the ethylene dynamic monitoring had rapid static/dynamic response speed (2 ppm/s) and accurately monitoring of ethylene content (99% accuracy). In addition, the quality parameters evolution (firmness, soluble solids contents, weight loss rate, and chromatic aberration) showed that the ethylene multi-strategies control could effectively reduce the quality loss of fruits studied, which showed great potential in improving the quality management of fruits in the supply chain.
Xuepei Wang; Xinwu Li; Daqi Fu; Rajko Vidrih; Xiaoshuan Zhang. Ethylene Sensor-Enabled Dynamic Monitoring and Multi-Strategies Control for Quality Management of Fruit Cold Chain Logistics. Sensors 2020, 20, 5830 .
AMA StyleXuepei Wang, Xinwu Li, Daqi Fu, Rajko Vidrih, Xiaoshuan Zhang. Ethylene Sensor-Enabled Dynamic Monitoring and Multi-Strategies Control for Quality Management of Fruit Cold Chain Logistics. Sensors. 2020; 20 (20):5830.
Chicago/Turabian StyleXuepei Wang; Xinwu Li; Daqi Fu; Rajko Vidrih; Xiaoshuan Zhang. 2020. "Ethylene Sensor-Enabled Dynamic Monitoring and Multi-Strategies Control for Quality Management of Fruit Cold Chain Logistics." Sensors 20, no. 20: 5830.
The market demand for fresh sweet cherries in China has experienced continuous growth due to its rich nutritional value and unique taste. Nonetheless, the characteristics of fruits, transportation conditions and uneven distribution pose a huge obstacle in keeping high quality, especially in express logistics. This paper proposes dynamic monitoring and quality assessment system (DMQAS) to reduce the quality loss of sweet cherries in express logistics. The DMQAS was tested and evaluated in three typical express logistics scenarios with “Meizao” sweet cherries. The results showed that DMQAS could monitor the changes of critical micro-environmental parameters (temperature, relative humidity, O2, CO2 and C2H4) during the express logistics, and the freshness prediction model showed high accuracy (the relative error was controlled within 10%). The proposed DMQAS could provide complete and accurate microenvironment data and can be used to further improve the quality and safety management of sweet cherries during express logistics.
Xiaoshuan Zhang; Xuepei Wang; Shaohua Xing; Yunfei Ma; Xiang Wang. Multi-Sensors Enabled Dynamic Monitoring and Quality Assessment System (DMQAS) of Sweet Cherry in Express Logistics. Foods 2020, 9, 602 .
AMA StyleXiaoshuan Zhang, Xuepei Wang, Shaohua Xing, Yunfei Ma, Xiang Wang. Multi-Sensors Enabled Dynamic Monitoring and Quality Assessment System (DMQAS) of Sweet Cherry in Express Logistics. Foods. 2020; 9 (5):602.
Chicago/Turabian StyleXiaoshuan Zhang; Xuepei Wang; Shaohua Xing; Yunfei Ma; Xiang Wang. 2020. "Multi-Sensors Enabled Dynamic Monitoring and Quality Assessment System (DMQAS) of Sweet Cherry in Express Logistics." Foods 9, no. 5: 602.
The underwater non-contact methods for fish length measurement play an important role in aquaculture for fish sorting, grading and effective management. One challenge is to obtain the fish length data automatically instead of to locate the key measurement points of fish manually during the processing. This study presents a stereo vision system with procedure that obtains the oplegnathus punctatus fish body length based on LabVIEW. The key measurement points of fish snout tip and caudal peduncle can be automatically extracted through the processing algorithm that is based on the contour and convex hull calculation. The experiment validated the success rate and accuracy of fish length estimation at different angles of the free-swimming fish body to the optical axis. Experimental results showed that the proposed system could estimate the fish length with high accuracy and success rate. The regression analysis between estimated and manually measured body length showed a good linear relationship with R2 > 0.91 and mean relative error <2.55%. These findings indicated that the proposed system for non-contact and automatic fish body length measurement could be applied in the fish farm.
Chen Shi; Qingbin Wang; Xinlei He; Xiaoshuan Zhang; Daoliang Li. An automatic method of fish length estimation using underwater stereo system based on LabVIEW. Computers and Electronics in Agriculture 2020, 173, 105419 .
AMA StyleChen Shi, Qingbin Wang, Xinlei He, Xiaoshuan Zhang, Daoliang Li. An automatic method of fish length estimation using underwater stereo system based on LabVIEW. Computers and Electronics in Agriculture. 2020; 173 ():105419.
Chicago/Turabian StyleChen Shi; Qingbin Wang; Xinlei He; Xiaoshuan Zhang; Daoliang Li. 2020. "An automatic method of fish length estimation using underwater stereo system based on LabVIEW." Computers and Electronics in Agriculture 173, no. : 105419.
Traceability plays a vital role in food quality and safety management. Traditional Internet of Things (IoT) traceability systems provide the feasible solutions for the quality monitoring and traceability of food supply chains. However, most of the IoT solutions rely on the centralized server-client paradigm that makes it difficult for consumers to acquire all transaction information and to track the origins of products. Blockchain is a cutting-edge technology that has great potential for improving traceability performance by providing security and full transparency. However, the benefits, challenges and development methods of blockchain-based food traceability systems are not yet fully explored in the current literature. Therefore, the main aim of this paper is to review the blockchain technology characteristics and functionalities, identify blockchain-based solutions for addressing food traceability concerns, highlight the benefits and challenges of blockchain-based traceability systems implementation, and help researchers and practitioners to apply blockchain technology based food traceability systems by proposing an architecture design framework and suitability application analysis flowchart of blockchain based food traceability systems. The results of this study contribute to better understanding and knowledge on how to improve the food traceability by developing and implementing blockchain-based traceability systems. The paper provides valuable information for researchers and practitioners on the use of blockchain-based food traceability management and has a positive effect on the improvement of food sustainability.
Huanhuan Feng; Xiang Wang; Yanqing Duan; Jian Zhang; Xiaoshuan Zhang. Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges. Journal of Cleaner Production 2020, 260, 121031 .
AMA StyleHuanhuan Feng, Xiang Wang, Yanqing Duan, Jian Zhang, Xiaoshuan Zhang. Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges. Journal of Cleaner Production. 2020; 260 ():121031.
Chicago/Turabian StyleHuanhuan Feng; Xiang Wang; Yanqing Duan; Jian Zhang; Xiaoshuan Zhang. 2020. "Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges." Journal of Cleaner Production 260, no. : 121031.
Energy conservation, cost, and emission reduction are the research topics of most concern today. The aim of this paper is to reduce the cost and carbon emissions and improve the sustainable development of sheep transportation. Under the typical case of the “farmers–middlemen–slaughterhouses” (FMS) supply model, this paper comprehensively analyzed the factors, sources, and types of cost and carbon emissions in the process of sheep transportation, and a quantitative evaluation model was established. The genetic algorithm (GA) was proposed to search for the optimal path of sheep transportation, and then the model solving algorithm was designed based on the basic GA. The results of path optimization indicated that the optimal solution can be obtained effectively when the range of basic parameters of GA was set reasonably. The optimal solution is the optimal path and the shortest distance under the supply mode of FMS, and the route distance of the optimal path is 245.6 km less than that of random path. From the cost distribution, the fuel power cost of the vehicle, labor cost in transportation, and consumables cost account for a large proportion, while the operation and management cost of the vehicle and depreciation cost of the tires account for a small proportion. The total cost of the optimal path is 26.5% lower than that of the random path, and the total carbon emissions are 36.3% lower than that of random path. Path optimization can thus significantly reduce the cost of different types and significantly reduce the proportion of vehicle fuel power cost and consumables cost, but the degree of cost reduction of different types is different. The result of the optimal path is the key to be explored in this study, and it can be used as the best reference for sheep transportation. The quantitative evaluation model established in this paper can systematically measure the cost and carbon emissions generated in the sheep transportation, which can provide theoretical support for practical application.
Mengjie Zhang; Lei Wang; Huanhuan Feng; Luwei Zhang; Xiaoshuan Zhang; Jun Li. Modeling Method for Cost and Carbon Emission of Sheep Transportation Based on Path Optimization. Sustainability 2020, 12, 835 .
AMA StyleMengjie Zhang, Lei Wang, Huanhuan Feng, Luwei Zhang, Xiaoshuan Zhang, Jun Li. Modeling Method for Cost and Carbon Emission of Sheep Transportation Based on Path Optimization. Sustainability. 2020; 12 (3):835.
Chicago/Turabian StyleMengjie Zhang; Lei Wang; Huanhuan Feng; Luwei Zhang; Xiaoshuan Zhang; Jun Li. 2020. "Modeling Method for Cost and Carbon Emission of Sheep Transportation Based on Path Optimization." Sustainability 12, no. 3: 835.
Waterless transport is an alternative method to realize the larger volume and higher survival rate of live aquatic products, this paper aims to investigate the effects of transport multi-stressors on the blood physiology and flesh quality, then optimize the setting of ambient parameters during waterless live transportation. Amur sturgeon, Acipenser schrenckii is selected as research objective because it is a representative fish of Chinese farmed sturgeon species. Fish were divided into three groups, Group I, Group II, and Group III. The fish in group I were cultured in the normal living environment (21 °C, with water), and Group II were transported in a lower temperature but normal living environment (4 °C, with water), but fish in Group III were transported in a waterless environment (4 °C, without water). Blood and muscle for assay were sampled at every 8 h intervals (0 h, 8 h, 16 h, 24 h and 32 h). The results indicate that temperature and oxygen are the critical ambient parameters in waterless live transportation, and significantly influence the fish survivability and blood physiology; blood glucose (GLU) and serum cortisol (COR) could be regarded as the representative indexes to assess the physiological stress level. Furthermore, the fish in waterless condition (Group III) exhibit no significant changes in flesh quality, such as total protein and crude fat after transport. These findings provide the theoretical evidence to understand the effects of multi-transport stressors on live fish and apply waterless transport in actual situation.
Wensheng Wang; Yongjun Zhang; Yan Liu; Nóra Adányi; Xiaoshuan Zhang. Effects of waterless live transportation on survivability, physiological responses and flesh quality in Chinese farmed sturgeon (Acipenser schrenckii). Aquaculture 2019, 518, 734834 .
AMA StyleWensheng Wang, Yongjun Zhang, Yan Liu, Nóra Adányi, Xiaoshuan Zhang. Effects of waterless live transportation on survivability, physiological responses and flesh quality in Chinese farmed sturgeon (Acipenser schrenckii). Aquaculture. 2019; 518 ():734834.
Chicago/Turabian StyleWensheng Wang; Yongjun Zhang; Yan Liu; Nóra Adányi; Xiaoshuan Zhang. 2019. "Effects of waterless live transportation on survivability, physiological responses and flesh quality in Chinese farmed sturgeon (Acipenser schrenckii)." Aquaculture 518, no. : 734834.
Korla fragrant pear is prestigious for its special texture and unique flavor but suffers storage and supply chain difficulties for its deterioration-prone properties. In order to improve the storage quality of Korla fragrant pears during the whole cold chain from the orchard to the customers, the paper deeply researches multiple influencing factors of cold chain logistics and home storage of Korla fragrant pears with multi-sensor technology (MST), such as the temperature, relative humidity, concentrations of oxygen (O2), carbon dioxide (CO2) and ethylene (C2H4). Cold chain logistics are assessed by sensory evaluation and physiological index measurement, and home storage environments are classified by using back propagation neural network (BPNN) in both refrigerators and ordinary rooms. Experimental results show that the MST-based detectors can improve the accuracy of continuous sensor data acquisition, such that the preservation quality of Korla fragrant pears is effectively enhanced by data analysis on gas contents, firmness, pH, and total soluble solids. These results indicate that Korla fragrant pears stored in refrigerators have a higher acceptance for customers.
Jingjing Liu; Xu Zhang; Zhigang Li; Xiaoshuan Zhang; Tomislav Jemric; Xiang Wang. Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology. Applied Sciences 2019, 9, 3895 .
AMA StyleJingjing Liu, Xu Zhang, Zhigang Li, Xiaoshuan Zhang, Tomislav Jemric, Xiang Wang. Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology. Applied Sciences. 2019; 9 (18):3895.
Chicago/Turabian StyleJingjing Liu; Xu Zhang; Zhigang Li; Xiaoshuan Zhang; Tomislav Jemric; Xiang Wang. 2019. "Quality Monitoring and Analysis of Xinjiang ‘Korla’ Fragrant Pear in Cold Chain Logistics and Home Storage with Multi-Sensor Technology." Applied Sciences 9, no. 18: 3895.
With the continuous push for improving packaging efficiency of current packaging practices to prevent losses in a real cold chain, a holistic evaluation method with improved indicators and a conceptual assessment framework to improve packaging efficiency continuously in a fresh vegetable cold chain was proposed. Based on two fresh leafy vegetables with typical packaging practices in a real cold chain in China, the evaluation method was performed and tested from a macro perspective, and then the packaging efficiency constitution with loss prevention perspective was better visualized. The results show that the method can be used for improving the performance of specific packaging efficiency in the fresh vegetable cold chain and improving the suggestions’ sustainability orientation, and systematically summarize their impacts on packaging efficiency; specifically as follows: (1) Since the correlation between the state of fresh vegetables and the environmental stress in the package, the performance of the micro-environment parameters should be given priority for packaging efficiency improvement in loss prevention. (2) Although the use of the packaging materials in current practices was relatively better, it still can improve in food safety and packaging sustainability of the packaging practices through the selection of packaging materials with better sustainability characteristics. (3) Via the visualization of targeted packaging efficiency in cold chain, the fluctuation of loss rates in the cold chain process are well perceived, and there are still room can be performed continuously to realize more efficient packaging for better loss prevention. (4) The method has drawbacks that the optimization of the weights to the given indicators and the indicators based on nutrition and quality of fresh produce was not considered in current research, and it should be strengthened in future research. (5) It is necessary that the perception of differences in targeted packaging efficiency and the consciousness to improve specific packaging efficiency in vegetable cold chain for sustainability.
Jingjie Wang; Zhiqiang Zhu; Liliana Mihaela Moga; Jinyou Hu; Xiaoshuan Zhang. A Holistic Packaging Efficiency Evaluation Method for Loss Prevention in Fresh Vegetable cold chain. Sustainability 2019, 11, 3874 .
AMA StyleJingjie Wang, Zhiqiang Zhu, Liliana Mihaela Moga, Jinyou Hu, Xiaoshuan Zhang. A Holistic Packaging Efficiency Evaluation Method for Loss Prevention in Fresh Vegetable cold chain. Sustainability. 2019; 11 (14):3874.
Chicago/Turabian StyleJingjie Wang; Zhiqiang Zhu; Liliana Mihaela Moga; Jinyou Hu; Xiaoshuan Zhang. 2019. "A Holistic Packaging Efficiency Evaluation Method for Loss Prevention in Fresh Vegetable cold chain." Sustainability 11, no. 14: 3874.
Tricholoma matsutake (T. matsutake) growing in Tibet is very popular for its high economic and medicinal value, but fresh T. matsutake has an extremely short shelf life. The shelf life of T. matsutake is complex, influenced by product characteristics, surrounding environmental conditions, and spoilage development. The objective of this work was to study the quality characteristics of fresh T. matsutake during its shelf life period in modified atmosphere packaging (MAP) conditions and establish its remaining shelf life prediction models in a cold chain. In this study, we measured and analyzed quality indicators of fresh T. matsutake, including hardness (cap, stipe), color, odor of sensory characteristics, pH, soluble solids content (SSC), and moisture content (MC) of physical and chemical characteristics under the temperature condition of 4 °C and relative humidity (RH) of 90%. The sensory evaluation results showed that the odor indicator in sensory characteristics was more sensitive to the freshness of T. matsutake. The changes of pH, SSC, and MC were divided into three periods to analyze the physiological changes of T. matsutake. The cap spread process could affect the changes of pH, SSC, and MC in period S1, and they changed gradually in period S2. In the period S3, they changed complicatedly because of deterioration. The remaining shelf life prediction model of T. matsutake was established by the back propagation (BP) neural network method to quantify the relationship between the quality indicators and the remaining shelf life. The shelf life characteristics are complex, which were optimized by correlation analysis. Significant benefits of this work are anticipated on the transportation and preservation of fresh T. matsutake to the market and the reduction of its losses in the postharvest chain.
Zetian Fu; Shuang Zhao; Xiaoshuan Zhang; Martin Polovka; Xiang Wang. Quality Characteristics Analysis and Remaining Shelf Life Prediction of Fresh Tibetan Tricholoma matsutake under Modified Atmosphere Packaging in Cold Chain. Foods 2019, 8, 136 .
AMA StyleZetian Fu, Shuang Zhao, Xiaoshuan Zhang, Martin Polovka, Xiang Wang. Quality Characteristics Analysis and Remaining Shelf Life Prediction of Fresh Tibetan Tricholoma matsutake under Modified Atmosphere Packaging in Cold Chain. Foods. 2019; 8 (4):136.
Chicago/Turabian StyleZetian Fu; Shuang Zhao; Xiaoshuan Zhang; Martin Polovka; Xiang Wang. 2019. "Quality Characteristics Analysis and Remaining Shelf Life Prediction of Fresh Tibetan Tricholoma matsutake under Modified Atmosphere Packaging in Cold Chain." Foods 8, no. 4: 136.
Tricholoma matsutake (T. matsutake) is a special type of fungus known as "the king of bacteria", and has the very high economic value. However, it is also very difficult to transport due to its corruptibility. Therefore, tracing and tracking the quality and safety of T. matsutake in the cold chain is very important and necessary. Based on changes in the cold chain environmental parameters determine the safety of T. matsutake is a viable option. This paper developed and tested a real-time monitoring traceability system (RM-TM) using emerging Internet of Things (IoT) technologies for monitoring the cold chain logistics environmental parameters of T. matsutake. Finally, system testing and evaluation have shown that RM-TM can track and monitor temperature, humidity, oxygen and carbon dioxide fluctuations in the cold chain in real-time. In addition, the collected data can be used to increase the transparency of cold chain logistics and to more effectively control quality, safety, and traceability. In general, the system evaluation results show that it is reliable and meets the requirements of users.
Xinwu Li; Lin Yang; Yanqing Duan; Zhigang Wu; Xiaoshuan Zhang. Developing a Real-time Monitoring Traceability System for Cold Chain of Tricholoma matsutake. Electronics 2019, 8, 423 .
AMA StyleXinwu Li, Lin Yang, Yanqing Duan, Zhigang Wu, Xiaoshuan Zhang. Developing a Real-time Monitoring Traceability System for Cold Chain of Tricholoma matsutake. Electronics. 2019; 8 (4):423.
Chicago/Turabian StyleXinwu Li; Lin Yang; Yanqing Duan; Zhigang Wu; Xiaoshuan Zhang. 2019. "Developing a Real-time Monitoring Traceability System for Cold Chain of Tricholoma matsutake." Electronics 8, no. 4: 423.
Sustainable development is an eternal topic in the development of human society. The paper seeks to contribute to the adoption of sustainable development practices in the food processing enterprises of China by fostering the capacities of the enterprises. Moreover, the paper aims to contribute to the promotion of sustainable consumption by helping and encouraging consumers in making informed choices of sustainable and eco-efficient produced foodstuffs. We combined with 1015 survey data in 28 areas of China by using AHP model analysis of the sustainable development of food processing enterprises. The results show that, the overall level of sustainable development ability of food processing enterprises in China is not high; paying attention to economic is significantly more important than paying attention to social and environmental aspects. Chinese food processing entities have an acceptable basis for the implementation of sustainable development. But there are still some problems. Finally, some suggestions are put forward to promote the sustainable development of Chinese food processing enterprises.
Shuai Cao; Dong Tian; Xiaoshuan Zhang; Yunxian Hou. Sustainable Development of Food Processing Enterprises in China. Sustainability 2019, 11, 1318 .
AMA StyleShuai Cao, Dong Tian, Xiaoshuan Zhang, Yunxian Hou. Sustainable Development of Food Processing Enterprises in China. Sustainability. 2019; 11 (5):1318.
Chicago/Turabian StyleShuai Cao; Dong Tian; Xiaoshuan Zhang; Yunxian Hou. 2019. "Sustainable Development of Food Processing Enterprises in China." Sustainability 11, no. 5: 1318.
Toxic and hazardous sulfur dioxide (SO2) residue reduction is not only one of the core issues in the preservation process with SO2 solid antistaling agents in actual table grapes cold chain, but also one of the important ways to improve the cleaner production efficiency of the table grapes. The aim of this paper is to propose an improved preservation process for the table grapes in cold chain by combining the fumigation treatment with the slow-release SO2 solid antistaling agent. The process was performed to reduce the toxic and hazardous SO2 residue of the table grapes, improve the cleaner production efficiency of the cold chain, guarantee the quality and safety of the table grapes, and finally enhance the human health. The slow-release SO2 solid antistaling agent was developed with no pricking holes and relatively stable release rate of the SO2. According to the comprehensive analysis of the fumigation treatment condition determination, the slow-release SO2 solid antistaling agent performance, the table grapes quality performance, the SO2 residue performance and the evaluation on improved preservation process, the proposed improved preservation process with SO2 residue reduction could effectively reduce the bleaching injury, the decay rate, the threshing rate and the toxic and hazardous SO2 residue of the table grapes. There was no bleaching injury after the fumigation treatment at the optimal fumigation treatment conditions with 5000 ppm fumigation concentration and 20 minutes fumigation time. The maximization reduction range of the average decay rate and the average threshing rate of the table grapes was about 91.3 % and 44.8 %, while the maximization reduction range of the average SO2 residue in table grapes peels was about 44.7 %. The proposed improved preservation process could be extended for other cold chain applications to reduce their SO2 residue and improve their cleaner production efficiency.
Xinqing Xiao; Zetian Fu; Zhiqiang Zhu; Xiaoshuan Zhang. Improved preservation process for table grapes cleaner production in cold chain. Journal of Cleaner Production 2018, 211, 1171 -1179.
AMA StyleXinqing Xiao, Zetian Fu, Zhiqiang Zhu, Xiaoshuan Zhang. Improved preservation process for table grapes cleaner production in cold chain. Journal of Cleaner Production. 2018; 211 ():1171-1179.
Chicago/Turabian StyleXinqing Xiao; Zetian Fu; Zhiqiang Zhu; Xiaoshuan Zhang. 2018. "Improved preservation process for table grapes cleaner production in cold chain." Journal of Cleaner Production 211, no. : 1171-1179.
Shellfish have limited shelf life due to quality fluctuation caused by biochemical, microbiological or physical changes under real cold chain conditions. The objective of this study was to integrate Wireless Sensors Network (WSN) monitoring system and knowledge engineering to monitor the dynamic indicators that affect quality characteristics and establish knowledge-based HACCP quality control plan to improve the safety of frozen shellfish in the real cold chain. The obtained dynamic data by WSN including temperature, humidity, O2, CO2 indicators, and an Arrhenius equation based kinetic model were simulated with field cold chain scenarios to determine the shelf life and quality loss probability. The key quality control points were identified based on the HACCP plan and unified representation and reasoning rule were established for enhancing the HACCP knowledge sharing and reuse. The system was tested and evaluated in cold chain logistics from Rushan to Fuzhou, China. The results show WSN-based monitoring can achieve the dynamic indicators continuous monitoring and contribute to the CCPs dynamic adjustment. The application of WSN-enabled and knowledge-based HACCP modeling as effective approach can help to increase cold chain management (CCM) transparency and improve the quality control for the frozen shellfish during their commercial life.
Huanhuan Feng; Jing Chen; Wei Zhou; Vilai Rungsardthong; Xiaoshuan Zhang. Modeling and evaluation on WSN-enabled and knowledge-based HACCP quality control for frozen shellfish cold chain. Food Control 2018, 98, 348 -358.
AMA StyleHuanhuan Feng, Jing Chen, Wei Zhou, Vilai Rungsardthong, Xiaoshuan Zhang. Modeling and evaluation on WSN-enabled and knowledge-based HACCP quality control for frozen shellfish cold chain. Food Control. 2018; 98 ():348-358.
Chicago/Turabian StyleHuanhuan Feng; Jing Chen; Wei Zhou; Vilai Rungsardthong; Xiaoshuan Zhang. 2018. "Modeling and evaluation on WSN-enabled and knowledge-based HACCP quality control for frozen shellfish cold chain." Food Control 98, no. : 348-358.
Chinese consumers prefer to purchase fish that have only recently been killed. The supplying of live fish is routinely delivered by water. However, the traditional transportation of live fish with water results in small volume of transportation and may cost prohibitive. Therefore, cold anesthetized waterless live fish transport is considered an alternative and promising strategy, since this is likely to demand less energy with large freight volume. This paper aims to develop an intelligent traceability platform based on HACCP system that integrates wireless monitoring and quality control models to improve the quality control and safety transparency in waterless fish transportation. In this research Chinese sturgeon is taken as experiment subjects for long-distance transportation. Oxygen change model is established as a life-sustained key factor by hybrid prediction method can optimize fish survivability. Survival prediction model is also designed for improvement of live delivery quality with minimum stress accumulation under precise temperature condition. For tracing function evaluation, the QR Code combined with existing EPC traceability technology enables users to expediently query and quickly trace the safety transport information from aquaculture to markets. To demonstrate the automatic monitoring and intelligent traceable management in this platform, sturgeon delivery experiments have been evaluated and analyzed. The results illustrate this system can reduce the potential risks, implement quality control with high survival results, and improve the live fish transport volume at low-costly. In brief, application of this smart platform will provide an effective, suitable technical reference for aquatic enterprises to follow, and help them to adjust the waterless transport techniques for the other types of aquatic products.
Yongjun Zhang; Wensheng Wang; Liu Yan; Branko Glamuzina; Xiaoshuan Zhang. Development and evaluation of an intelligent traceability system for waterless live fish transportation. Food Control 2018, 95, 283 -297.
AMA StyleYongjun Zhang, Wensheng Wang, Liu Yan, Branko Glamuzina, Xiaoshuan Zhang. Development and evaluation of an intelligent traceability system for waterless live fish transportation. Food Control. 2018; 95 ():283-297.
Chicago/Turabian StyleYongjun Zhang; Wensheng Wang; Liu Yan; Branko Glamuzina; Xiaoshuan Zhang. 2018. "Development and evaluation of an intelligent traceability system for waterless live fish transportation." Food Control 95, no. : 283-297.
At present, due to their geographical distribution, environmental conditions and traditional monitoring technologies, the manual inspection of brine pumps in Qinghai Saline Lake can not be effectively carried out in real time, so the pumps have a high failure rate. This has seriously affected the chemical production of this saline lake. The paper designed a remote real-time monitoring terminal and a decision support system based on LoRa technology, GPRS (General Packet Radio Services) remote communication technology and remote-control technology. The system integrated the liquid-level sensing model and the decision support model for brine pump management. The system monitored and analyzed the voltage, current, and liquid-level parameters in real time to determine the operating status or failure of the brine pump. The ID3 (Iterative Dichotomiser 3) method was used to establish the correlation models between the dynamic monitoring information and the brine pump failure, which is the core of the decision support model. The remote controller was implemented to display and control the running status of the brine pumps when the maintenance personnel received the warning information. PHP (Hypertext Preprocessor) language and a MySQL database were implemented to realize the data display, management and decision support system.
Yan Cui; He Liu; Mengjie Zhang; Stevan Stankovski; Jianying Feng; Xiaoshuan Zhang. Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management. Electronics 2018, 7, 147 .
AMA StyleYan Cui, He Liu, Mengjie Zhang, Stevan Stankovski, Jianying Feng, Xiaoshuan Zhang. Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management. Electronics. 2018; 7 (8):147.
Chicago/Turabian StyleYan Cui; He Liu; Mengjie Zhang; Stevan Stankovski; Jianying Feng; Xiaoshuan Zhang. 2018. "Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management." Electronics 7, no. 8: 147.