Study On Optimization Of Motion Parameters Of Catfish Headless Processing Device Based On Fem,
2022
College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384 , China
Study On Optimization Of Motion Parameters Of Catfish Headless Processing Device Based On Fem, Li Chen-Yang, Shan Hui-Yong, Zhang Cheng-Hao, Tian Yun-Chen, Wei Yong
Food and Machinery
Objective: Improve the mechanization and automation of the pretreatment process of China’s freshwater fish processing industry. Methods: The catfish head cutting simulation model is constructed by the numerical analysis software ANSYS/LS-DYNA, and the catfish head removal process is simulated and analyzed and the motion parameters are optimized by FEM. The blade speed and transportation speed are adjusted with the minimum cutting power consumption as the optimization goal, and the accuracy of the simulation results is verified by the prototype test. Results: When the speed of the blade is 850 r/min and the conveying speed is 14 cm/s, …
Online Visual Detection Method Of Defective Baoyu-Flavor-Slices Based On Mechanical Vision,
2022
College of Mechanical Engineering, Tianjin University of Science & Technology, Tianjin 300222 , China
Online Visual Detection Method Of Defective Baoyu-Flavor-Slices Based On Mechanical Vision, Xiang Yu-Hang, Zhou Cong-Ling, Wang Yong-Qiang
Food and Machinery
Objective: To solve the problem of appearance defects of Baoyu-flavor-slices, such as edge damage, internal porosity and uneven wrapper thickness in the production process. Methods: An on-line detection method based on machine vision was proposed. The Baoyu-Flavor-Slices were arranged into a single layer array by mechanical carding device. After image acquisition, image segmentation, gray value stretching and contour edge extraction were selected for image processing. Edge damage detection was completed by using the feature of outer contour roundness, abnormal wrapper thickness detection was accomplished by measuring wrapper thickness, by calculating the porosity area, the porosity detection was completed. …
Detection Of Defective Shrimp And Optimization For Key Parameters In Multi-Channel Automatic Elimination System,
2022
Jiaxing College, Jiaxing, Zhejiang 314000 , China
Detection Of Defective Shrimp And Optimization For Key Parameters In Multi-Channel Automatic Elimination System, Zeng Ling-Xiao, Liu Zi-Hao, Yan Zhi-Peng, Zhao Kun, Liu Hao
Food and Machinery
Objective: When inspecting the appearance and quality of Litopenaeus Vannamei, the system can realize the automatic elimination of defective shrimps efficiently. Methods: Constructed an automatic shrimp elimination equipment and quality inspection. Structured an algorithm to extract shrimps’ morphological feature, complete the clarification of normal and defective shrimps. Realizing defective shrimps’ elimination by blowing them from the side to middle. Through the analysis of internal stress of shrimp, we calculated the correlation between blowing volume and moving distance. Moreover, the relationships among gass output volume, shrimps’ moving distance and speed had been optimized. Results: With the increasing of …
Real-Time Classification Method For Liquor Hops Based On Deep Learning,
2022
Computer Department, North China Electric Power University, Baoding, Hebei 071003 , China
Real-Time Classification Method For Liquor Hops Based On Deep Learning, Liu Zhi-Ping, Cui Ke-Bin
Food and Machinery
Objective: To solve the subjectivity and instability of the traditional Baijiu picking method " liquor-receiving according to liquor hop", and the problem that the existing machine vision hops classification method is difficult to meet the real-time classification. Methods: The lightweight YOLOv5 takes YOLOv5s as the initial model, uses the K-mean clustering anchor box to replace the default anchor box to improve the model detection accuracy and stability, uses the shufflenetv2 network to replace the YOLOv5s backbone network for feature extraction, so as to achieve the purpose of lightweight model, and adds the CBAM attention mechanism to make the …
Application Of Information Visualization Technology In Tea Packaging Design,
2022
School of Art and Design, Changsha University of Seience & Technology, Changsha, Hunan 400114 , China
Application Of Information Visualization Technology In Tea Packaging Design, Xie Qi, Qin Yu-Yang
Food and Machinery
With functional information of tea as the starting point, information visualization as the means and tea packaging as the medium, benefiting from the visual communication between tea and consumers realized by the joint forces of the three, this paper discusses the principles and methods of information visualization in tea packaging design, and transmits the relevant information of tea to consumers easily, quickly and effectively to achieve the purpose of promotion.
Storage Endurance Evaluation Of 'Jinxiu' Yellow Peach With Different Sugar Content Based On Nmr And 1h-Mri Techniques,
2022
Forest and Fruit Tree Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai 201403 ,China ；Agro-product Fresh Keeping and Processing Research Center, Shanghai 201403 , China
Storage Endurance Evaluation Of 'Jinxiu' Yellow Peach With Different Sugar Content Based On Nmr And 1h-Mri Techniques, Zhou Hui-Juan, Ye Zheng-Wen, Zhang Zhi-Qiang, Du Ji-Hong, Zeng Si-Yi
Food and Machinery
Objective: To evaluate the storability of yellow peach with different sugar content. Methods: The respiration intensity, ethylene release rate, soluble solid content and texture of the fruit stored at 0, 14, 21, 28, 35, (35+3) d were measured. Nuclear Magnetic Resonance (NMR) technique and proton magnetic resonance imaging (1H-MRI) were used to determine the content of free water (A2) and relaxation time (T2) to observe the changes of fruit stored at (2±0.5) ℃. Results: During storage and shelf, the decrease rate of firmness of pulp, flesh compactedness and chewiness was faster in low-sugar group, especially at the …
Automatic Classification Of Banana Ripeness Based On Deep Learning,
2022
Guilin University of Technology at Nannning, Nanning, Guangxi 530001 , China
Automatic Classification Of Banana Ripeness Based On Deep Learning, Wang Ling-Min, Jiang Yu
Food and Machinery
Objective: To classify banana ripeness quickly and accurately. Methods: Collect the bananas images of different maturity and establish gallery, using a variety of different neural networks as a classifier, banana feature extracting by migration study classifying banana six maturity level, access to the most suitable for banana maturity classification network model, network model, based on the improved and easily banana maturity real-time detection interface design, Finally, the feasibility and practicability of the model were verified. Results: AlexNet model was most suitable for banana maturity classification with the highest accuracy of 95.56%. AlexNet model was improved by modifying …
An Improved Automatic Detection Model For Egg Defection Based On Yolov5,
2022
Shenyang Vocational and Technical College, Shenyang, Liaoning 110045 , China
An Improved Automatic Detection Model For Egg Defection Based On Yolov5, Yao Xue-Feng, Li Chao
Food and Machinery
Objective: To solve the problems of low detection efficiency and poor accuracy of existing automatic detection methods for egg defect images. Methods: Based on the egg detection system, an improved YOLOv5 automatic detection model was proposed. Added the lightweight network MobileNetv3 to YOLOv5 model to reduce the complexity of the model, and deleted the neck network and small target detection at the output end. Results: Compared with the traditional control method, this method can detect the surface defects of egg targets more accurately and efficiently, with the complexity of more than 35% reducing, the detection time of …
Effect Of Irradiation On Active Components Of Rhodiola Rosea Extracts And Their Hypoglycemic Ability,
2022
Agricultural College of Yanbian University, Yanji, Jilin 133002 , China
Effect Of Irradiation On Active Components Of Rhodiola Rosea Extracts And Their Hypoglycemic Ability, Qu Meng, Chang Yan-Qiu, Qi Xin, Cui Cheng-Bi
Food and Machinery
Objective: This study aimed to study the changes of active components in irradiated Rhodiola rosea extracts (RRE) and their hypoglycemic effect. Methods: Rhodiola rosea was irradiated with 60Co-γ rays at doses of 5, 10, 20 and 30 kGy, respectively. High performance liquid chromatography (HPLC) was used to analyze RRE compounds before (0 kGy) and after irradiation. The type 1 diabetic mouse models established by intraperitoneal injection of Streptozotocin (STZ) were given a gavage. The body weight, fasting blood glucose, food intake and water intake of mice were measured regularly. Oral glucose tolerance was measured on the last day, …
Effects Of Typical Hot Processing On The Quality Of Chestnut,
2022
Agro-Food Science and Technology Research Institute, Guangxi Academy of AgriculturalSciences, Naning, Guangxi 530007 , China ；Guangxi Key Laboratory of Fruits and VegetablesStorage-processing Technology, Naning, Guangxi 530007 , China
Effects Of Typical Hot Processing On The Quality Of Chestnut, Zhou Kui, Li Ming-Juan, Zhang Ya-Yuan, Zhou Qing
Food and Machinery
Objective: This study aimed to explore the appropriate cooking method of chestnut. Methods: Nine kinds of thermal treatment on the quality of chestnut were compared. The thermal treatment included chestnut fruit (roasting, cooking without water under normal-pressure, cooking within water under normal-pressure, cooking without water under high-pressure, cooking within water under high-pressure) and chestnut kernel (cooking without water under normal-pressure, cooking within water under normal-pressure, cooking without water under high-pressure, cooking within water under high-pressure). Results: The content of starch and polyphenols in chestnut were decreased by the nine kinds of thermal treatment, while the amylose content …
Preparation And Application Of Maillard Reaction Flavors Based On Cigar Tobacco Leaf Residues,
2022
Zhengzhou Tobacco Research of CNTC, Zhengzhou, Henan 450001 , China
Preparation And Application Of Maillard Reaction Flavors Based On Cigar Tobacco Leaf Residues, Xu Xiu-Juan, Wang Ai-Xia, Hu Shao-Dong, Shi Qing-Zhao, Yang Chun-Qiang, Ma Ji
Food and Machinery
Objective: To solve the problem of tobacco leaf residues produced during the production of tobacco extracts. Methods: Maillard reaction was carried out using aqueous extracts from cigar tobacco leaf residues as raw materials, and the effects of amino acid dosage and reaction time on the chemical composition of the Maillard reaction products and the sensory quality of cigarettes were systematically investigated. The relationship between the 18 components of the Maillard reaction product and the sensory index of cigarettes was also investigated. Results: ① Based on sensory effects, the optimal reaction conditions for the Maillard reaction based on …
Progress In The Analysis And Detection Of Steroidal Hormones In Royal Jelly,
2022
Changchun University of Chinese Medicine, Changchun, Jilin 130000 , China
Progress In The Analysis And Detection Of Steroidal Hormones In Royal Jelly, Li Zheng, Yang Jing, Jiao Li-Li, Li Hui, Wu Wei
Food and Machinery
The rapid determination of steroidal hormones and their contents in royal jelly by molecular imprinting and high performance liquid chromatography-mass spectrometry (HPLC-MS) was reviewed. The research progress of liquid-liquid extraction, solid phase extraction, QuECHERS and other pretreatment methods, as well as HPLC-MS, gas chromatography-mass spectrometry (GC-MS), radioimmunoassay and enzyme-linked immunosorbent assay were introduced. The advantages and disadvantages of various pretreatment methods and analytical methods were analyzed and compared. Finally, the feasibility of using molecular imprinting technology and HPLC-MS to detect steroid hormones in royal jelly was prospected.
Research Progress On Extraction Of Phenols With Natural Deep Eutectic Solvent,
2022
College of Life Sciences, Yantai University, Yantai, Shandong 264005 , China
Research Progress On Extraction Of Phenols With Natural Deep Eutectic Solvent, Zhang Yi-Xin, Wu Xu-Ran, He Ruo-Han, Feng Shuo, Yang Feng-Qi
Food and Machinery
This review summarized the research status of NADES on the extraction and separation of phenols, discussed the main factors affecting the extraction efficiency, and prospected the future development direction.
Research Progress On New Extraction Technologies And Bioactivities Of Flavonoids From Orange,
2022
School of Food and Biological Engineering, Chengdu University, Chengdu, Sichuan 610106 , China ；Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu, Sichuan 610213 , China
Research Progress On New Extraction Technologies And Bioactivities Of Flavonoids From Orange, Liu Dan, Guo Huan, Wu Di, Gan Ren-You
Food and Machinery
The new extraction technologies of citrus flavonoids in recent five years were reviewed, including low eutectic solvent extraction, subcritical fluid extraction and magnetic molecular blot selective extraction.the bioactivities and mechanisms of citrus flavonoids, such as antioxidant, anti-inflammatory, antibacterial, anti-obesity, anti-diabetes, anti-cancer, intestinal protection, cardiovascular protection, liver protection and neuroprotection, were also expounded, and suggestions for further study of citrus flavonoids were proposed.
Research Progress On The Sources And Detection Methods Of Determination Of Benzo-Α-Pyrene In Aquatic Products,
2022
Research Institute of Agricultural Quality Standards and Testing Technology, Hubei Academy ofAgricultural Science, Wuhan, Hubei 430064 , China ；Hubei Key Laboratory of Nutritional Quality andSafety of Agro Products, Wuhan, Hubei 430064 , China
Research Progress On The Sources And Detection Methods Of Determination Of Benzo-Α-Pyrene In Aquatic Products, Xia Hong, Liu Li, Peng Xi-Tian, Peng Li-Jun, Lin Chun
Food and Machinery
This review summarized the source, properties, as well as the harm of benzo-α-pyrene exposure to aquatic products. The commonly used instrumental analysis methods for the detection of benzo-α-pyrene were also discussed, and the future research direction of benzo-α-pyrene detection was prospected.
Analysis And Comprehensive Evaluation Of Amino Acid Composition Of Coreopsis Tinctoria From Different Habitats,
2022
School of Food and Bioengineering, Xihua University, Chengdu, Sichuan 610039 , China
Analysis And Comprehensive Evaluation Of Amino Acid Composition Of Coreopsis Tinctoria From Different Habitats, Lu Qing-Yao, Zhou Min, Zhou Hui-Ling, Jiao Shi-Rong
Food and Machinery
Objective: This study focuses on in-depth research and development of the utilization of Coreopsis tinctoria resources. Methods: The Coreopsis samples from Hetian, Urumqi, Aba, Luding and Xining were hydrolyzed with hydrochloric acid, and the contents of 17 kinds of amino acids were determined by automatic amino acid analyzer. On this basis, the characteristics of amino acid flavor were analyzed and compared with the amino acid pattern spectrum issued by FAO/WHO. RAA, RC and SRC were calculated, and correlation analysis and cluster analysis were performed on 17 kinds of amino acids of chrysanthemum. Thereafter, the nutritional value of Coreopsis …
Correlation Analysis Of Taste Intensity Of Tea Flavor Attribute Reference Based On Electronic Tongue And Artificial Senses,
2022
Tea Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou 550006 ,China
Correlation Analysis Of Taste Intensity Of Tea Flavor Attribute Reference Based On Electronic Tongue And Artificial Senses, Liu Zhong-Ying, Ran Qian-Song, Zhang Tuo, Zheng Wen-Jia, Pan Ke
Food and Machinery
Objective: This study aimed to explore the correlation between electronic tongue and artificial senses on the taste intensity of tea taste attribute reference. Methods: Quinine, alum, sodium glutamate, sucrose and citric acid were used as the reference materials for bitter, astringent, fresh, sweet and sour taste attributes in turn. Based on the perception threshold, the relationship between concentration and taste intensity of each reference material for electronic tongue and artificial senses and its correlation were analyzed. Results: The bitterness perception threshold of quinine was 0.015 mg/mL, and the corresponding electronic tongue response value was 4.91. The detection …
Determination Of 4 Categories Of Flavor Substances In Liquor By Gas Chromatography Mass Spectrometry,
2022
Wuxi Center for Disease Control and Prevention, Wuxi, Jiangsu 214023 , China
Determination Of 4 Categories Of Flavor Substances In Liquor By Gas Chromatography Mass Spectrometry, Xu Zhi-Fei, Wu Yu-Kang, Jiang Yu-Hong, Zhou Run
Food and Machinery
Objective: To establish an analytical method for the determination of four main flavor substances in liquor. Methods: A gas chromatography mass spectrometry (GC-MS) method was established for the simultaneous determination of esters, alcohols, acids, and aldehydes in liquor. Single ion monitoring (SIM) mode was chosen. Then the method was inspected through comparison with the standard mass spectrum database, quantitative analysis of the external standard method and relative standard deviation of day-in and day-out were investigated. Results: The limits of detection of the four types of flavor compounds in liquor were 0.007~0.070 mg/L, and the limits of quantitation …
Research On The Application Of Big Data In Food Safety Supervision Risk Early Warning,
2022
Information Center of the State Administration for Market Regulation, Beijing 100820 , China
Research On The Application Of Big Data In Food Safety Supervision Risk Early Warning, Du Lin, Wen Sheng-Jun, Yuan Gang
Food and Machinery
As an important part of modern food safety governance system, food safety risk early warning fully embodies the scientific principle of "prevention first, risk management, whole process control and social co governance". This paper focuses on how to use effective data collection and data analysis strategies to achieve food safety risk early warning through monitoring, analysis, evaluation and other ways, so as to support government supervision with a more scientific and accurate food risk data management and evaluation system.
Efficientnet Edible Fungus Image Recognition Based On Improved Weight Decay,
2022
College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang 830052 , China
Efficientnet Edible Fungus Image Recognition Based On Improved Weight Decay, Yao Zhi-Xin, Zhang Tai-Hong, Zhao Yun-Jie
Food and Machinery
Objective: In order to solve the problem of edible fungus species identification, an EfficientNet edible fungus image classification model based on convolution neural network is proposed. Methods: Firstly, the edible fungus images were collected and the datasets were made according to different equipment and shooting environment, and then the model performance was improved through model training skills and network skills. A YWeight weight attenuation method was proposed to control the effective learning rate, and the generalization performance of the model was affected by controlling the cross-boundary. Results: This method makes EfficientNet-B0 obtain 79.82% (+0.85%) top-1 accuracy on …
