Food Processing Commons^™

The Application Of Computer Vision Combining With Deep Leaning Techniques For Rapid Discrimination Of Adulterated Star Anise Powder, Chen Jinxing

Food and Machinery

Objective: This study aims to design a novel approach, utilizing computer vision combining with deep learning, for rapid determination the adulteration in star anise powder. Methods: Collected the original images of star anise powder with varying adulteration ratios. Employing preprocessing and data enhancement techniques, an image dataset was curated. Subsequently, a SqueezeNet model was constructed and compared with five machine learning models, including Support Vector Machine （SVM）, K-Nearest Neighbor Learning （KNN）, Random Forest （RF）, Gradient Boosting Tree （GBT）, and Multilayer Perceptron （MLP）. Results: The highest accuracy achieved by the five machine learning models was only 66.37%, while the accuracy of …

Determination Of 11 Kinds Of Pesticide Residues In Liquid Milk By Dispersive Solid Phase Extraction Coupled With Ultra Performance Liquid Chromatography-Tandem Mass Spectrometry, Huang Mangu, Luo Yonghao, Yan Wanying, Xu Lizhu

Food and Machinery

Objective： This study aimed to evaluate the safety of pesticide residues in liquid milk. Methods： A method for simultaneous determination of 11 kinds of pesticide residues by ultra-high-performance liquid chromatography-tandem mass spectrometry was established. The samples were extracted by acetonitrile, purified by C₁₈ and PSA solid phase extractants, separated on a column Xbridge BEH C₁₈ (100 mm×2.1 mm, 1.7 μm), determined in multi-reaction monitoring mode, and optimized for pre-treatment parameters using response surface method. Results： The optimal conditions for pretreatment were 10 mL acetonitrile, 50 mg C₁₈ and 30 mg PSA. The linear relationships of 11 kinds …

Rapid And Non-Destructive Detection Of Hyperspectral Milk Protein Based On Improved Woa-Elman Neural Network, Cao Jilei, Gao Peixin, Li Xinyu, Xiao Wenjing, Li Zhenyu

Food and Machinery

Objective: To solve the problems of low accuracy, low efficiency, and strong manual dependence in existing milk protein detection methods. Methods: Based on hyperspectral imaging systems, proposed a combination of improved whale algorithm and Elman neural network for rapid and non-destructive detection of milk protein content. Optimized the whale algorithm through three aspects (chaotic mapping, adaptive convergence factor, and adaptive weight) to improve search accuracy, and optimized the Elman neural network parameters (weights and thresholds) after optimization. Analyzed the performance of the proposed non-destructive testing method through experimental analysis. Results: Compared with conventional detection methods, proposed method was optimal for …

Legal Boundary Of The Rights Of Professional Counterfeiters In Food Market, Cui Gehao

Food and Machinery

Focusing on the food market, starting from the litigation status of professional anti-counterfeiting cases, this paper summarizes and analyzes the problems and disputes about professional anti-counterfeiting behavior in current theory and practice, discusses the necessity of protecting and restricting the right of professional anti-counterfeiters to know and buy fake goods, and tries to guide and regulate their professional anti-counterfeiting behavior from multiple levels, such as clarifying the legal status of professional anti-counterfeiters and guiding the legitimate and standardized anti-counterfeiting behavior.

Food Safety Management In Online Live Broadcast Marketing, Hu Shuiying

Food and Machinery

Literature research and case analysis were used to summarize the development status of online live streaming marketing market, analyze the cases of food safety accidents in live streaming e-commerce, and summarize the food safety problems in current live streaming e-commerce. Governance strategies were proposed, such as strengthening the review of live content, strengthening supervision, unblocking consumer complaint channels and accelerating relevant legislative processes. For the problem of homemade food in network marketing, it can be counseled, supported and invested in the form of an incubator to promote its transformation to formal production.

Design Of Drying Machine With Co-Heating And Dehumidification And Testing Of Its Drying Performance On Shiitake Mushrooms, Bao Huangjie, Guo Wenwen, Li Guoneng, Shi Yuxin, Zhang Mengjie

Food and Machinery

Objective: In order to improve the mushroom drying efficiency and reduce the power consumption, a new type of co-heating and dehumidification drying machine was designed and built. Methods: The drying machine was a closed system, which took the semiconductor refrigeration piece as the main component, with its hot end as heat source for air pre-heating and its cold end as the cold source for water vapor condensation. On the device, the mushroom drying rate at different drying temperatures （55 and 65 ℃） and sample mass （200 and 400 g） were tested. Results: Nine thin layer mathematical drying models were used …

Design Of Automatic Processing Production Line For Fresh Corn, Niu Huli, Zhang Haoyu, Chang Hongjie, Guo Minghao, Yan Haipeng

Food and Machinery

Objective: It solved the problem of low accuracy and large random error when cutting fresh corn, which is easy to damage the grain. Methods: A new process of sweet and waxy corn processing production line was designed, the production line used machine vision technology to judge the attitude of corn, completed the adjustment of corn attitude through reversing equipment, designed adaptive positioning structure to cut the head and tail of corn, and then carried out layer retention processing according to the difference characteristics of ear bract adhesion after cutting results, packed after camera quality screening, and used prototype to carry …

Simulation Analysis Of The Influencing Parameters On The Shelling Efficiency Of Rubber Roller Husker Based On Adams, Wang Zixiao, Wang Wangping, Song Shaoyun

Food and Machinery

Objective: Improve the hulling efficiency of the rice huller. Methods: Simulated the process of rice hulling, and analyzed the influence of various parameters on the hulling process by changing the movement speed of the rubber roller and the line speed difference. Firstly, the model of huller and the model of single-sided shelled brown rice were established in SolidWorks, and then the established model was imported into ADAMS for simulation, and the effects of the corresponding factors on the hulling efficiency of huller were observed by changing the rotational speeds of the fast and slow rollers, the difference in line speeds …

Determination Of Chlorantraniliprole And Penoxsulam Residues In Rice By Quechers-Uplc-Ms/Ms, Huang Zijie, Huang Pengmian, Luo Kuanneng, Xiang Zhongping, Zhang Honggang

Food and Machinery

Objective: To establish a new QuEChERS-ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the detection of chlorantraniliprole and penoxsulam residues in rice. Methods: After the sample was extracted with 0.2% formic acid-acetonitrile, purified with N-propylethylenediamine (PSA) and graphitized carbon black (GCB) packing, 0.2% formic acid water and acetonitrile were used as mobile phases for gradient elution, and then subjected to C₁₈ chromatography. UPLC-MS/MS was used to column separation and determination. Results: The limits of quantification (LOQ) of chlorantraniliprole and penoxsulam were both 0.004 mg/kg, and the method detection limits (LOD) were both 0.001 mg/kg. Chlorantraniliprole and penoxsulam had …

Fruit Variety And Freshness Recognition Method Based On Yolo-Ffd, Yan Zi, Chen Liangyan, Liu Weihua, Lai Huaqing, Ye Sheng

Food and Machinery

Objective: In order to improve the situation that existing fruit recognition and classification methods rely on manual operation and complex equipment. Methods: A lightweight model YOLO-FFD (YOLO with fruit and freshen detection) was proposed, which based on the YOLOv5 framework. Firstly, LightweightC3 was designed as the basic unit of the backbone feature extraction network based on the depth separable convolution and GELU activation function, which reduced the number of model parameters and computation, and speeds up the convergence of the model. Secondly, EnhancedC3, a large kernel depth separable convolution module, was used to improve the neck of the original model, …

Preparation, Structural Characteristics And Antioxidant Activity Of Cardamine Violifolia Oligopeptides, Wen Xiaolong, Xiang Jiqian, Zhang Liang, Li Yajie, Long Lan

Food and Machinery

Objective: This study aimed to prepare oligopeptidess of Camelina violifolia and expand its application range. Methods: C. violifolia protein was hydrolyzed by alkaline protease, and then used ultrafiltration membrane for isolating and concentrating, and obtained oligopeptides by freeze-drying. The structure and antioxidant activity of C. violifolia oligopeptides were analyzed. Results: The optimum conditions for the hydrolysis of C.violifolia protein were as follows: hydrolysis temperature 50 ℃, pH 10, enzyme dosage 4%, substrate concentration 2%, and hydrolysis degree 17.9%. The C. violifolia oligopeptides contents of protein and polypeptide were 49.01% and 42.87%, respectively. The oligopeptides had a strong absorption band at …

Research Progress Of Visual Information Communication In Food Packaging: A Systematic Review, Tang Cong, Liu Zongming

Food and Machinery

To further develop scientific food packaging design methods, providing consumers with more accurate and prompt food packaging information, the article comprehensively analyzed three types of key cues for food packaging information communication: textual information, food imagery and cross-modal correspondence by integrating domestic and international related literature, and pointed out that textual information was more advantageous in the process of conveying information, positive slogans are more influential, and other detailed information would reduce consumer cognitive bias. Text is more suitable for expressing food functions, while pictures are more suitable for expressing sensory appeals. Secondly, package imagery had a significant impact on …

Research Trends On The Extraction Of Vegetable Oil By Aqueous Enzymatic Method, Guan Mengzhen, Chen Fusheng, Zhao Yuhui

Food and Machinery

Currently, vegetable oil is extracted by pressing method, solvent leaching method and aqueous enzymatic method. The aqueous enzymatic method has the advantages of high oil extraction rate, simple process and good oil quality compared with the pressing method and solvent leaching method. It also reduces the environmental pollution and improves the economic benefits. The review summarized the principle, process flow, characteristics, types of commonly used enzyme preparation, demulsification and vegetable oil quality of vegetable oil production by aqueous enzyme method, and the development trend of vegetable oil preparation by aqueous enzymatic method was prospected.

Optimization Of Macroporous Resin Adsorption Process Of Enzymatic Hydrolysis Of Pueraria Protein And Its Antioxidant Activity In Vitro By Response Surface Method, Yue Yihan, Yan Mingming, Shao Shuai, Ding Yiyuan, Jiang Ting

Food and Machinery

Objective： This study aims to optimize the adsorption of enzymatic hydrolysis of Pueraria protein by macroporous resin and maximize the antioxidant properties in vitro. Methods: The Box-Behnken response surface method was used to determine the optimization of adsorption of enzymatic hydrolysis of Pueraria protein. Using V_C as a control, the antioxidant activity of Kase was determined before and after purification under the optimal purification process. Results： The optimal adsorption-desorption process of macroporous resin is: the mass concentration of the sample solution was 10.0 mg/mL, the flow rate of the eluent was 2.6 mL/min, and the volume fraction of …

Development Of Methods To Quantify The Affective Response To Food Product Consumption Based On Kansei Engineering And Their Application In New Product Development, Dietmar Weiss

Dissertations

Consumer research, crucial to the success of new products, relies traditionally on rational judgements and opinions, which may not reflect the real reasons for consumer choice. The goal of this research was to apply and further develop the concepts of Kansei engineering to quantify an emotional response to product use. In addition to the application of the traditional Kansei engineering methods, three innovations were introduced. Firstly, the use of images instead of words to define the emotional space and further limit the interference of cognitive processes in the outcome. Secondly, the application of orthogonal arrays in product designs. Thirdly, the …

Development Of Fungal Hydrogels For 3d Bioprinting And Cellular Agriculture, Lauren E. Doyle

Theses and Dissertations--Biosystems and Agricultural Engineering

Hydrogel scaffolds are an important component to cellular agriculture. There is a need for a sustainable alternative to the commonly used gelatin-sodium-alginate hydrogels. Specific edible fungus species may provide a suitable alternative. Many fungi possess high protein contents, ease of cultivation, and strong functional properties. However, functional characterizations and application of fungal flour and protein extracts in cellular agriculture are lacking in the literature. Therefore, this study’s objectives were to 1) Develop processes to create functional fungal protein fractions from different fungal strains and evaluate their characteristics, and 2) Quantify the printability of the resulting fungal gels for the creation …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Formula Optimization And Volatile Flavor Substance Analysis Of Extruded Corn Flour Composite Powder, Liu Xiaoqin, Ye Yang, Zeng Deyu, Yang Zhengang, Lin Fengmei

Food and Machinery

Objective: This study aimed to improve the flavor and solubility of extruded corn flour by compounding. Methods: D-optimal mixture design was used to add different proportions of puffed millet flour, fried red rice flour, puffed rice flour, and puffed black rice flour, into puffed corn flour. The composite powder was analyzed and evaluated from the perspectives of caking rate, viscosity, sensory score, and volatile flavor substance changes. The aroma components of different samples were analyzed by gas chromatography-mass spectrometry. Results: The formula of compound powder was as follows: expanded corn flour 50.8%, expanded millet flour 8.8%, fried red rice flour …

Effects Of Sublimation Temperature On Cell Microstructure Of Pear Melon During Vacuum Freeze Drying, Tian Jinjin, Yao Chaoyang, Zhang Zhiqiang, Zhang Zhe, Ji Hongwei, Wu Jinyu

Food and Machinery

Objective: This study aimed to obtain optimal sublimation temperature of pear melon cells. Methods: The pre-freezing cooling rate and vacuum pressure were selected by optimization method to be 25 ℃/min and 10 Pa, respectively, based on cryogenic microscope imaging and vacuum freeze-drying technology. Then, sublimation temperatures of 10, 5, 0, -4, -7 and -10 ℃ were used for experimental research. The morphological parameters (equivalent diameter, area, circumference, volume), internal pressure, and porosity of cells during the process of dehydration and drying were analyzed. Results: As the sublimation temperature rose, the morphological parameters of different dimensions of cells first decreased and …

Research On Image Recognition Of Cracked Eggs Based On Convolutional Neural Network Model, Li Shu, Tang Mengdi, Tong Siyuan, Sun Ke

Food and Machinery

Objective: In order to improve the accuracy and operating efficiency of the egg crack detection method based on computer vision. Methods: Used poultry egg simulation impact equipment to obtain cracked eggs, and collected images of cracked eggs and intact eggs from different angles through egg dynamic image acquisition equipment. Then, the YOLO-v5, ResNet and SuffleNet models for cracked egg image recognition were established for the original and the preprocessed egg images, respectively. After that, the recognition accuracy and the adaptability for original egg images recognition of different models were compared. Results: The YOLO-v5, ResNet and SuffleNet models could effectively identify …