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 …
Flavor Analysis Of Passion Beer Based On Gc-Ims Technology,
2022
College of Food Science and Engineering, Lingnan Normal University, Zhanjiang, Guangdong 524048 ,China ；Key Laboratory of Tropical Crop Products Processing of Ministry of Agriculture and Rural Affairs,Agricultural Products Processing Research Institute, Chinese Academy of Tropical Agricultural Sciences,Zhanjiang, Guangdong 524001 , China
Flavor Analysis Of Passion Beer Based On Gc-Ims Technology, Gong Xiao, Chen Ting-Hui, Hu Xiao-Jun, Fan Wei-Wei, Li Ya-Jun, Zhao Xin-Qiang
Food and Machinery
Objective: This study aimed to fully develop and utilize the resources of passion fruits. Methods: The volatile flavor compounds at different brewing stages were analyzed by GC-IMS technology. Results: A total of 63 kinds of flavor compounds were identified, including 26 kinds of esters, 10 kinds of alcohols, 9 kinds of aldehydes, 7 kinds of ketones, 6 kinds of alkanes, 2 kinds of acids, 2 kinds of furans and 1 kinds of ether. Principal components analysis (PCA) showed that the cumulative difference contribution rate of the first two principal components (PC1 and PC2) was 81.2%, indicating that …
Determination Of Duck Meat Adulteration Ratio In Pork Stuffing,
2022
Heilongjiang National Vocational College, Harbin, Heilongjiang 150066 , China
Determination Of Duck Meat Adulteration Ratio In Pork Stuffing, Fei Ying-Min, Pan Lei, Ni Xue, Zhang Gen-Sheng
Food and Machinery
Objective: This study aimed to determine the proportion of duck adulteration in pork stuffing by gas chromatography. Methods: Based on the analysis of characteristic fatty acid types as well as contents in different meats by gas chromatography, the standard fingerprint profiles of pork and duck were established manually, and the chromatograms of duck adulteration samples with 10%, 30%, 50% and 70% adulteration in pork stuffing were analyzed. The characteristic fatty acids of duck-pork were finally selected as lauric acid, stearic acid, trans Behenic acid, and linoleic acid. The adulteration experiment was simulated to establish the prediction regression models …
Simultaneous Determination Of 45 Kinds Of Antibiotics In Aquatic Vegetables By High-Performance Liquid Chromatography-Triple Quadrupole Linear Ion Trap Mass Spectrometry,
2022
Taizhou Food Inspection Centre, Taizhou, Zhejiang 318000 , China
Simultaneous Determination Of 45 Kinds Of Antibiotics In Aquatic Vegetables By High-Performance Liquid Chromatography-Triple Quadrupole Linear Ion Trap Mass Spectrometry, Zhang Jin-Jun, Xia Hui-Li, Gao Hai-Bo, Zhang Fang-Fang
Food and Machinery
Objective: This study aimed to establish a rapid screening and confirmation method for the 45 kinds of antibiotics, including quinolones, sulfonamides, nitroimidazoles and macrolides in aquatic vegetable, by ultra-high performance liquid chromatography-triple quadrupole-linear ion trap mass spectrometry (UPLC-Q-Trap-MS). Methods: The sample was extracted with acetonitrile containing 0.1% formic acid, then cleaned up with primary secondary amine (PSA), anhydrous magnesium sulfate (Na2SO4) and C18. The analytes were detected by UPLC-Q-Trap-MS in the multiple-reaction monitoring with information-dependent acquisition of enhanced product ion (SMRM-IDA-EPI) mode, followed by matching retrieval of a multiple antibiotic database. The …
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.
Construction Of Embedded Governance Model Of Food Safety Risk In China,
2022
Marxism School of Hebi Polytechnic, Hebi, Henan 458030 , China
Construction Of Embedded Governance Model Of Food Safety Risk In China, Cai Shi-Qin
Food and Machinery
As an innovative research method, embedded governance not only pays attention to the impact of institutional factors on organizational change, but also pays more attention to the importance of economic, political, social and other factors in organizational development. The review summarized the practical problems of "decoupling" between the governance subject, governance mechanism, governance means and governance objectives in Chinese food safety risk, such as the unidirectional governance subject, the decoupling of governance means, and the hysteresis of governance mechanism. It is pointed out that the embedded management of food safety risks in China can be realized and the new model …
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. …
Research On Mill Distance Monitoring System Based On Machine Vision,
2022
School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, Henan 450001 , China
Research On Mill Distance Monitoring System Based On Machine Vision, Lu Shao-Jie, Wu Wen-Bin, Zhang Wen-Long, Hou Ning-Pei, Liu Pei-Kang, Zhao Qi-Feng
Food and Machinery
Objective: Real-time monitoring of the grinding roller distance of the pulverizer. Methods: CCD industrial camera was used to collect the rolling distance image, threshold segmentation and morphology were used to preprocess the gray image, and then the edge detection algorithm combined with MATLAB software and mathematical operation were used to eliminate the irrelevant edge points, and finally the rolling distance of the mill was calculated. The feasibility and veracity of the system were verified by comparing the value of gauge and the value of system monitoring. Results: The data fluctuation range of the online monitoring system was …
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 …
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 …
Storage Stability Of Bilayer Indicator Films Containing Anthocyanin,
2022
School of Food Engineering, Henan Vocational College of Agriculture, Zhengzhou, Henan 451450 , China
Storage Stability Of Bilayer Indicator Films Containing Anthocyanin, Wang Wen-Yan, Zhou Xi, Wei Zhen, Yu Xi-Zheng, Xiong Guo-Yuan
Food and Machinery
Objective: This study aimed to investigate the best storage conditions for anthocyanin indicator films. Methods: The double-layer indicator films containing anthocyanins were investigated. The mechanical properties (tensile strength and elongation at break), thickness, color and antioxidant properties (DPPH free radical scavenging ability, total phenol content and ABTS free radical scavenging ability) of double-layer indicator films containing anthocyanins were determined at different storage time (0, 7, 14, 21, 28 and 35 d) and temperature (25, 4 and 18 ℃). Results: The results showed that the thickness of the indicator films was generally maintained at about 0.15 mm, and …
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, …
Extraction Process, Structural Characteristics And Biological Activity Of Mesona Chinensis Polysaccharide,
2022
College of Life Sciences and Technology, Lingnan Normal University, Zhanjiang,Guangdong 524048 , China ；School of Mechanical and Electrical Engineering,Xinjiang Agricultural University, Urumqi, Xinjiang 830052 , China
Extraction Process, Structural Characteristics And Biological Activity Of Mesona Chinensis Polysaccharide, Dong Wei, Ma Sheng-Jian, Guo Jun-Xian, Luo Hao, Tao Mei-Hua
Food and Machinery
Objective: This study focused on improving the extraction rate and application of Mesona chinensis polysaccharide (MCP). Methods: MCP was obtained from fresh M. chinensis by thermally alkaline extraction, protein removal by trichloroacetic acid and purification by dialysis bag. The chemical structure was analyzed by ultraviolet and infrared spectrum scanning, X-ray diffraction and SEM scanning. The antioxidant activity was determined by in vitro antioxidant capacity, and the antibacterial activity was determined by antibacterial experiment. Results: The optimal extraction conditions of MCP were solid-liquid ratio of 1∶5.47 (g/mL), soaking time of 10.71 min, sodium bicarbonate concentration of 1.64%. Under …
