A Novel Machine-Learning Framework Based On A Hierarchy Of Dispute Models For The Identification Of Fish Species Using Multi-Mode Spectroscopy,
2023
University of North Dakota
A Novel Machine-Learning Framework Based On A Hierarchy Of Dispute Models For The Identification Of Fish Species Using Multi-Mode Spectroscopy, Mitchell Sueker, Amirreza Daghighi, Alireza Akhbardeh, Nicholas Mackinnon, Gregory Bearman, Insuck Baek, Chansong Hwang, Jianwei Qin, Amanda M. Tabb, Jiahleen Roungchun, Rosalee S. Hellberg, Fartash Vasefi, Moon Kim, Kouhyar Tavakolian, Hossein Kashini Zadeh
Food Science Faculty Articles and Research
Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for fish species identification, such as DNA analysis and polymerase chain reaction (PCR), are expensive and time-consuming, and require skilled technicians and specialized equipment. The combination of spectroscopy and machine learning presents a promising approach to overcome these challenges. In our study, we took a comprehensive approach by considering a total of 43 different fish species and employing three modes of spectroscopy: fluorescence (Fluor), and reflectance in the visible near-infrared (VNIR) and short-wave near-infrared (SWIR). To achieve higher accuracies, we developed a novel machine-learning framework, where groups of …
Comparison Of Dna Extraction Methods For The Detection Of Canned Tuna Species With Dna Mini-Barcoding,
2023
Chapman University
Comparison Of Dna Extraction Methods For The Detection Of Canned Tuna Species With Dna Mini-Barcoding, Aubrey J. Emmi, Biola Fatusin, Rosalee S. Hellberg
Food Science Faculty Articles and Research
Tuna is susceptible to species mislabeling due to its high demand, quick rate of production, and wide range of price points. DNA barcoding, a sequencing-based technique, allows for the detection of species mislabeling by targeting a standardized region of DNA. A mitochondrial control region (CR) DNA barcode has been found to be capable of species discrimination for tuna, but it is challenging to recover the entire DNA fragment from canned tuna. While a short fragment of CR, referred to as a “mini-barcode,” has shown some success with canned tuna species identification, more research is needed to improve identification rates. The …
Determination Of Rutin, Hyperoside, Quercetin In Xiang Lotus By Hplc,
2023
Changsha Institute for Food and Drug Control, Changsha, Hunan 410008, China
Determination Of Rutin, Hyperoside, Quercetin In Xiang Lotus By Hplc, Zhong Feifei, Li Jing, Lei Deqing, Yang Yun, Wu Jianfang, Ouyang Li
Food and Machinery
Objective: To establish a HPLC method for simultaneous determination of rutin, hyperoside, quercetin in Xiang lotus. Methods: The HPLC method was performed on an Agilent ZORBAX SB-C18 column (4.6 mm×250 mm, 5 m) with gradient elution of methanol and 0.6% phosphoric acid solution. The flow rate was 1.0 mL/min. The column temperature was 30 ℃ and the detection wavelength was set at 255 nm. Results: The contents of rutin, hypericin and quercetin in 20 batches of lotus samples were 1.32～2.06, 1.36～2.43, 1.41～3.26 mg/kg, respectively. The linear range of the concentration of rutin, hypericin and quercetin was 5～200 g/mL ( …
Nanozymatic Activity Of Zr-Based Mofs: Tuning The Coordinatively Unsaturated Metal Sites For Enhancing Hydrolytic Activity Toward Peptide Bonds,
2023
School of Food Science and Bioengineering, Changsha University of Science & Technology, Changsha, Hunan 410114, China
Nanozymatic Activity Of Zr-Based Mofs: Tuning The Coordinatively Unsaturated Metal Sites For Enhancing Hydrolytic Activity Toward Peptide Bonds, Xu Keyu, Xia Liwei, Xing Keyu, Cheng Yunhui, Xu Zhou
Food and Machinery
Objective: To develop efficient and stable artificial proteases and investigate the relationship between coordinatively unsaturated metal sites and hydrolysis activity of peptide bond. Methods: Three zirconium-based metal-organic frameworks （Zr-MOFs） with different coordinatively unsaturated sites （12-connected Zr-MOF, 6-connected Zr-MOF, and 4-connected Zr-MOF） were prepared to modulate protein hydrolase activity. The protein hydrolase activity of three Zr-MOFs was evaluated by the hydrolysis rate of bis-glycopeptide （Gly-Gly） as an indicator. Subsequently, soy protein, surimi protein and casein were hydrolyzed using the best performing protein hydrolase nanoenzymes, and the hydrolysis products were separated using SDS-polyacrylamide gel electrophoresis, and the hydrolysis efficiency of the three …
Effects Of Three Media On The Isolation Of Two Kinds Of Antimicrobial-Resistant Bacteria From Chicken Products,
2023
Institute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China
Effects Of Three Media On The Isolation Of Two Kinds Of Antimicrobial-Resistant Bacteria From Chicken Products, Huang Liujuan, Fan Yanli, Zhong Hai, Jiang Jing, Shao Yi
Food and Machinery
Objective: To evaluate the isolation effects of different media on antimicrobial risistant （ART） bacteria flora from the surface of cold fresh and cooked chicken products. Methods: Based on high-throughput sequencing technology, the flora structure and abundance of tetracycline-resistant （Tr） and sulfamethazole-resistant （Sr） bacteria isolated by brain heart infusion （BHI）, tryptic soy agar （TSA） and plate count agar （PCA） media was comparatively analyzed. Results: Among the 101 genera of ART bacteria from cold fresh chicken samples, 30, 5 and 3 genera of Tr bacteria were isolated only on BHI, TSA and PCA media respectively, while the …
Changes Of Chemical Components Of Tibetan Tea During Pile Fermentation Process,
2023
Institute of Agro-products Processing Science and Technology, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan 610066, China
Changes Of Chemical Components Of Tibetan Tea During Pile Fermentation Process, Deng Junlin, He Yanghang, Chen Jian, Liu Gang, Xia Chen
Food and Machinery
Objective: The changes in the main chemical components in water extracts of Tibetan tea during the pile fermentation process were investigated. Methods: Research was done on tea samples and water extracts from various fermentation stages of Tibetan tea. Soluble solids, soluble sugars, total polyphenols, total flavonoids, and in vitro antioxidant activity (ABTS and DPPH) were all examined. Additionally, ultra-performance liquid chromatography (UPLC) was used to find theophylline, caffeine, gallic acid (GA), and 8 catechins monomers. By using enzyme-linked immunoassay, the amount of theaflavin, thearubigin, and theabrownin were determined. Results: The soluble solids in Tibetan tea reduced and then slightly increased …
Evaluation Of The Performance Of Enrofloxacin In The Detection Of Egg By Quantum Dot Microsphere Immunochromatography Strip,
2023
Jiangxi Agricultural Product Quality Safety and Inspection Center, Nanchang, Jiangxi 330077, China
Evaluation Of The Performance Of Enrofloxacin In The Detection Of Egg By Quantum Dot Microsphere Immunochromatography Strip, Zhang Fusheng, Wang Yuchen, Lu Lisheng, Deng Jiajun, Chen Junsong, Yang Linfen, Guo Jing, Wu Renwei, Lai Weihua
Food and Machinery
Objective: This study aimed to realize rapid on-site screening of enrofloxacin in eggs. Methods: According to the requirements of the “Maximum residue limit of 41 veterinary drugs in the national food safety standard” and the “Opinions on regulating the use of rapid food testing” issued by the State Market Supervision and Administration in January 2023, the spiked samples at three concentration levels of enrofloxacin were prepared. Fifty blank samples and fifty spiked samples at a concentration level of 0.5 time the standard limit requirement (5 μg/kg) were used to evaluate the false positive rate of the rapid detection method. Fifty …
A Fluorescence Elisa Based On Dsdna-Cuncs For The Detection Of E. Coli O157:H7 In Milk,
2023
College of Food Science, Nanchang University, Nanchang, Jiangxi 330047, China
A Fluorescence Elisa Based On Dsdna-Cuncs For The Detection Of E. Coli O157:H7 In Milk, Cao Wenkai, Shan Shan, Liu Daofeng, Peng Juan, Xing Keyu, Lai Weihua
Food and Machinery
Objective: This study aimed to developed a novel fluorescent enzyme-linked immunosorbent assay method for the sensitive detection of E. coli O157:H7 in milk samples. Methods: The pyrophosphate-Cu2+ coordination complex was hydrolyzed by alkaline phosphatase, and Cu2+ was released from copper nanoclusters as signal reporting probes. Key factors such as Cu2+ concentration, pyrophosphate concentration, and DNA template concentration and length were optimized. Results: Under the control of the optimized conditions, the method exhibited a good linear relationship (R2=0.980 8) with the target E. coli O157:H7 in the range of 5×104~1×108 CFU/mL. The …
Determination Of Acrylamide In Fried Foods By High Performance Liquid Chromatography Based On Quechers,
2023
Meizhou Institute for Food and Drug Control, Meizhou, Guangdong 514071, China
Determination Of Acrylamide In Fried Foods By High Performance Liquid Chromatography Based On Quechers, Dong Wenjing, Dai Jinbo, Nie Rongrong, Shen Jie, Ye Caiping, Cai Zhitao
Food and Machinery
Objective: This study aimed to popularize the detection capability of acrylamide in fried foods and optimize the pre-treatment process and the reliance on expensive instruments. Methods: The acrylamide in fried foods were extracted by methanol as extraction solvent and used C18 and Z-Sep+ as clean up materials. Then separated it with C18 liquid chromatography column by using water as mobile phase for isocratic elution and detected at wavelength 197 nm. Results: This method showed a good linearity (R2>0.999) of acrylamide in the range of 0.1～2.0 mg/L and the limits of detection was 0.007 mg/kg. …
Determination Of Zn2+ Cd2+ Pb2+ In Food Base On Bi-Co-Btc Electrochemical Sensor,
2023
Fujian Polytechnic Normal University, Fujian Province-Indonesia Marine Food Joint Research and Development Center, Fuzhou, Fujian 350300, China;Fujian Provincial Key Lab of Coastal Basin Environment, Fuzhou, Fujian 350300, China
Determination Of Zn2+ Cd2+ Pb2+ In Food Base On Bi-Co-Btc Electrochemical Sensor, Ding Kewu, Dai Lili, Huang Dihui, Sun Zhongwei, Ye Ruihong
Food and Machinery
Objective: This study focused on the preparation of a new electrochemical sensor for detection of heavy metal content in food. Methods: In this study, a new type of bismuth-based metal-organic framework was prepared by hydrothermal method. 1,3,5-benzenetricarboxylic acid （H3BTC） was used as a ligand, which supplemented by bismuth nitrate pentahydrate [Bi（NO3）3 5H2O] and cobalt nitrate hexahydrate [Co（NO3）2·6H2O] metal salts to prepare novel bismuth-based metal-organic frameworks. Bi-based metal-organic framework composites supported by multi-walled carbon nanotubes were prepared by ultrasonic self-assembly. The surface of glassy carbon electrode （GCE） was …
A Study On The Application Of Non-Prosecution Of Criminal Compliance By Food Production And Operation Enterprises,
2023
School of Social Sciences， Xinyang University， Xinyang， Henan 464000, China
A Study On The Application Of Non-Prosecution Of Criminal Compliance By Food Production And Operation Enterprises, Cai Kunpeng
Food and Machinery
With the current criminal compliance pilot, how to apply it correctly in the field of food safety is a new research direction. Starting from the criminal behavior of substantive law, this paper probes into the rationality of applying compliance non-prosecution in food production and operation enterprises, and through the analysis of the application of criminal compliance non-prosecution, puts forward the measures for applying the system in the field of food safety.
Simulation Analysis Of Flow Channel Of Different Twin-Screw Extruder With Different Groove Depth,
2023
School of Artificial Intelligence, Being Technology and Business University, Beijing 100048, China;Plastic Beijing Municipal Key Laboratory of Health and Safety Quality Evaluation Technology, Beijing 100048, China
Simulation Analysis Of Flow Channel Of Different Twin-Screw Extruder With Different Groove Depth, Zhang Yiming, Huang Zhigang, Yang Yanan
Food and Machinery
Objective: The flow channel distribution of polylactic acid （PLA） in different groove depths of a double screw extruder was discussed. Methods: Three kinds of screw elements with different depth of screw groove and their corresponding flow channel models were established by Solidworks software. Polyflow fluid simulation software was used for numerical simulation, and FieldView software was used for numerical analysis of post-processing results. The pressure field, shear rate field, viscosity field and residence time distribution curve （RTD） of polylactic acid （PLA） in three different screw extruders with different groove depths were studied. Results: The depth of the screw groove was …
Prediction Method Of Fragrant Pear Weight Based On Kinect Camera,
2023
College of Information Engineering, Tarim University, Alar, Xinjiang 843300, China
Prediction Method Of Fragrant Pear Weight Based On Kinect Camera, Zhang Runzhi, Zhang Xiao, Wu Gang
Food and Machinery
Objective: Aiming to obtain the weight of fragrant pear quickly to provide a basis for developing the fragrant pear grading device. Methods: This method acquired RGB-D images of fragrant pear by Kinect camera and converted them into point cloud data. The point cloud data was pre-processed and interpolated to generate a fragrant pear model. Then calculated the size parameter of the fragrant pear model. Finally, using the fragrant pear's volume predicted its weight. Results: Experimental results showed that the average relative error of the volume was 2.8%. Then the volume of fragrant pears was calculated by the error-compensated measurement method …
Fruit Classification System Based On The Pressure Sensor Coupled With Support Vector Machine,
2023
Puyang Medical College, Puyang, Henan 457000, China
Fruit Classification System Based On The Pressure Sensor Coupled With Support Vector Machine, Wang Feifei, Liu Peng, Sun Fengwei, Zhou Qiong
Food and Machinery
Objective: To improve fruit classification accuracy while considering low computational cost and low sensor cost. Methods: A fruit classification system based on capacitive pressure sensor was proposed. The system used support vector machine algorithm with a Gaussian kernel function (GKF-SVM) to classify fruits. The capacitive pressure sensors used were made of thin copper sheets and a layer of vinyl acetate, and these sensors were fixed to the thumb and index finger of a polyamide spandex glove that simulates a robotic hand. The obtained capacitance value was expressed in the form of digital level, and the data was extracted by data …
Identification Method Of Canned Food For Production Line Sorting Robot Based On Improved Pso-Svm,
2023
Jinzhong Vocational & Technical College, Jinzhong, Shanxi 030600, China
Identification Method Of Canned Food For Production Line Sorting Robot Based On Improved Pso-Svm, Gao Haiyan, Gao Jinyang, Wang Weicheng
Food and Machinery
Objective: To solve the problems of poor accuracy and low efficiency in target recognition methods for existing sorting robots in food production lines. Methods: On the basis of the analysis of the binocular vision food sorting system, a combination of improved particle swarm optimization algorithm and support vector machine was proposed for target recognition of food sorting robots. By improving the particle swarm optimization algorithm to optimize support vector machine parameters, an optimized support vector machine classification model was obtained. The classifier was trained for both global and local features, and feature weight coefficients were dynamically assigned to obtain the …
Research Progress Of Food Packaging Defect Detection Based On Machine Vision,
2023
Information Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China;Zhejiang Academy of Agricultural Sciences, Institute of Food Research, Hangzhou, Zhejiang 310022, China
Research Progress Of Food Packaging Defect Detection Based On Machine Vision, Ge Minghui, Zhang Jun, Lu Huijuan
Food and Machinery
Food packaging can develop defects during the production process due to various factors. The types of packaging defects are numerous with complex background. Machine vision detection, which uses visual imaging and computer information processing to complete tasks such as identification, detection, and measurement of packaging, has faster execution speed and higher accuracy compared to traditional manual inspection. This can significantly improve the degree of production automation. This article analyzes the common defects in food packaging and their causes, introduces traditional machine vision detection algorithms, and explores the research application of deep learning algorithms in food packaging defect detection. It also …
Design Of Spherical Fruit Packing Machine Based On Ahp/Ad/Triz,
2023
College of Mechanical Engineering, Suzhou Vocational University, Suzhou, Jiangsu 215104, China
Design Of Spherical Fruit Packing Machine Based On Ahp/Ad/Triz, Zuo Bin, Wang Renzhong, Wang Min
Food and Machinery
Objective： The paper aims to solve the large amount of packing for spherical fruit packing with unstable and unshapen with foam. Methods： A product design method based on AHP, AD and TRIZ integration was proposed in view of user demands. The weight and ranking of customer demands was obtained through AHP, the high-weights of design elements was converted to functional requirement. Then, the mapping between functional domain and physical domain of design elements was completed by means of AD axiomatic design. The design parameter sets of bevel gear packaging mechanism, spiral auxiliary mechanism, cutter mechanism and tension control mechanism were …
Research On Intelligent Real-Time Identification System Of Traffic Signs Based On Improved Recurrent Neural Network Algorithm,
2023
Huanghe Jiaotong University, Jiaozuo, Henan 454950, China
Research On Intelligent Real-Time Identification System Of Traffic Signs Based On Improved Recurrent Neural Network Algorithm, Wang Shaoying
Food and Machinery
Objective： In order to meet the needs of the edge computing of the Internet of Things, a recurrent neural network algorithm was introduced for the first time in this paper, and an intelligent real-time classification and recognition system was constructed to conduct research on food packaging images. Methods： To build a simulation experiment test model, firstly preprocessed the image data set, de-redundantize, grayscale, and normalized the two-dimensional image, and finally input the time-sequential data in parallel. Using a typical memristor as the research object of realizing hardware RNN, the nonlinear function of memristor was used to construct the mapping layer …
Food Freshness Recognition Method Based On Improved Resnet Model,
2023
Jiangxi Institute of Economic Administrators, Nanchang, Jiangxi 330088, China
Food Freshness Recognition Method Based On Improved Resnet Model, Wan Wei, Pu Yingxue, Wang Xiang, Li Chao
Food and Machinery
Objective: Solve the problems of low detection efficiency and poor accuracy in existing food freshness recognition methods. Methods: Based on the food production line image acquisition system, an improved residual neural network model was proposed for food freshness recognition on the production line. The improved LRELU activation function was introduced to improve the recognition performance of the model, the batch normalization layer was introduced to improve the training efficiency of the model, and the Dropout layer was introduced to discard a certain proportion of neurons to reduce the impact of over fitting. Results: Compared with conventional food freshness recognition methods, …
Research On Tomato Maturity Detection Method Based On Improved Yolov4 Model,
2023
Taiyuan City Vocational College, Taiyuan, Shanxi 030027, China
Research On Tomato Maturity Detection Method Based On Improved Yolov4 Model, Lu Jinrui, Fu Yan, Ni Meiyu, Cao Weigang, Du Zitao
Food and Machinery
Objective: To solve the problems of low detection accuracy and large number of model parameters in existing tomato maturity detection methods. Methods: Based on the tomato image acquisition system, an improved YOLOv4 model was proposed for automatic detection of tomato maturity. Introducing the lightweight network MobileNetv3 network into the model to replace the CSPParkNet53 network, reducing model complexity. Using average pooling instead of maximum pooling in the SPP module improved the algorithm's detection accuracy for small targets. Introduced attention mechanism CBAM in the upsampling process to enhance the fusion ability of deep and shallow features, and verified the feasibility of …
