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Programmable inkjet printing of fluorometric freshness-progress-bar for consumer-level visualization of hot-pot freshness 认领 引用
1
作者 Yisheng Chen Zhijian Wang Shiyao Wang 《Food Science and Human Wellness》 SCIE CAS CSCD 2026年第5期2427-2438,共12页
In this work,an easy-to-use fluorometric sensor array in the form of freshness progress bar was fabricated by programmable inkjet printing,enabling consumer-level freshness visualization of Hot-pot dishes(fish,chicken... In this work,an easy-to-use fluorometric sensor array in the form of freshness progress bar was fabricated by programmable inkjet printing,enabling consumer-level freshness visualization of Hot-pot dishes(fish,chicken and beef).Firstly,the freshness progress bar was optimized with 2 spoilage-responsive indicators(fluorescein isothiocyanate and rhodamine B)encapsulated in metal-organic framework zeolitic imidazolate framework-8(ZIF-8).Subsequently,a 40 mm×10 mm freshness progress bar was precisely fabricated by programmable inkjet printing,ensuring adequate uniformity and reproducibility.The freshness progress bar showed high sensitivity up to 1.343 mg/kg to the total volatile basic nitrogen(TVB-N),good reproducibility(relative standard deviation(RSD)0.96.Therefore,the freshness progress bar may enable consumer-level management of the Hot-pot foods,which was particularly suitable for E-commerce sales. 展开更多
关键词 Programmable inkjet printing Freshness progress bar Intelligent package Hot-pot
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Freshness Detection of Plasma Treated Tomato Using CFL-YOLOv8n 认领 引用
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作者 Shaohuang Bian Qinxiu Gao +2 位作者 Shan Su Weifeng Wang Feng Huang 《Computers, Materials & Continua》 SCIE EI 2026年第9期597-613,共17页
Tomato,as a globally important crop,its freshness directly affects postharvest quality,market value,and consumer acceptance.Traditional tomato freshness evaluation mainly relies on manual inspection and experience-bas... Tomato,as a globally important crop,its freshness directly affects postharvest quality,market value,and consumer acceptance.Traditional tomato freshness evaluation mainly relies on manual inspection and experience-based judgment,which is time-consuming,labor-intensive,and inefficient.Meanwhile,plasma technology has shown promising potential in agricultural preservation due to its safety and effectiveness,making the evaluation of tomato freshness after plasma treatment particularly important.In recent years,with the rapid development of deep learning technology,non-destructive detection methods based on image analysis have become important tools for agricultural product quality assessment.This study proposes an improved YOLOv8n-based model(named CFL-YOLOv8n)for tomato freshness detection.The method optimizes the C2f module by introducing a RetBlock residual structure,adopts an FDPN-DASI feature pyramid for cross-scale feature fusion,and incorporates the Focaler-IoU loss function to enhance bounding box localization accuracy.Additionally,a lightweight LSCD detection head is proposed to replace the original module to reduce parameters.It shows that the improved CFL-YOLOv8n model performs better performance for tomato freshness detection than comparison models,achieving mAP@.50 and mAP@.50:.95 of 90.0%and 88.5%,improved by 3.4%and 3.4%compared to the original YOLOv8n model,while significantly reducing parameters and computational complexity.The ablation experiments confirmed the effectiveness of each improved module.The proposed method provides an efficient solution for tomato freshness detection and offers technical support for evaluating the preservation effects of plasma treatment under controlled experimental conditions.Future work will focus on expanding the dataset scale and validating the model under more complex real-world environments. 展开更多
关键词 Tomato freshness detection YOLOv8 object detection deep learning plasma-assisted preservation
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Dual Fluorescent Hydrogel Derived from Cross-Linked Chitosan-Salicylaldehyde-Eu(Ⅲ)for Visual Detection of Volatile Amine and Meat Freshness 认领 引用
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作者 WANG Yanmin ZHANG Xuan 《Journal of Donghua University(English Edition)》 CAS 2026年第3期57-63,共7页
Based on cross-linked chitosan(CS)-salicylaldehyde(SA)-Eu(Ⅲ),a dual fluorescent hydrogel,designated as Eu-SA-CS,was successfully fabricated.The Eu-SA-CS hydrogel exhibited a green fluorescence around 500 nm,whereas a... Based on cross-linked chitosan(CS)-salicylaldehyde(SA)-Eu(Ⅲ),a dual fluorescent hydrogel,designated as Eu-SA-CS,was successfully fabricated.The Eu-SA-CS hydrogel exhibited a green fluorescence around 500 nm,whereas a red fluorescence around 600 nm was observed upon exposure to volatile amines such as triethylamine(TEA).There was a good linear relationship between the fluorescence intensity ratio and TEA volume concentration(0-40μL/L).Furthermore,the hydrogel could be used to indicate the meat freshness by a change in fluorescence color from green(fresh)to red(spoiled).These results revealed that the present Eu-SA-CS hydrogel could serve as a smart green-red fluorescent signal label for real-time monitoring of meat freshness. 展开更多
关键词 dual fluorescent hydrogel volatile amine detection meat freshness
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Visual Detection of Shrimp Freshness via Colorimetric Sensors 认领 引用
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作者 SONG Guangjie WANG Lei TIAN Yanqing 《高等学校化学学报》 SCIE EI CAS CSCD 北大核心 2026年第1期198-204,共7页
Monitoring biogenic amines,which are metabolic byproducts of shrimp spoilage,is crucial for assessing food quality.Currently,most detection methods for biogenic amines suffer from limitations such as time-consuming pr... Monitoring biogenic amines,which are metabolic byproducts of shrimp spoilage,is crucial for assessing food quality.Currently,most detection methods for biogenic amines suffer from limitations such as time-consuming procedures,complex operations,and delayed results.Colorimetric analysis techniques have gained attention in recent years due to their advantages of short analysis time,simple operation,and suitability for on-site testing.This study successfully developed a series of colorimetric sensor platforms for biogenic amines by loading the natural active ingredient curcumin(CUR)and its derivative of Boron complex BFCUR onto filter paper and electrospun nanofibre films(ENFs),respectively.By analyzing the color response differences of these sensors upon contact with biogenic amines,the colorimetric sensors with superior detection performance were selected and further applied to the visual monitoring and indication of shrimp spoilage processes. 展开更多
关键词 Shrimp freshness Colorimetric analysis Biogenic amine Sensor
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Electronic Nose with an Air Sensor Matrix for Detecting Beef Freshness 认领 引用 被引量：33
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作者 Zhe Zhang Jin Tong +1 位作者 Dong-hui Chen Yu-bin Lan 《Journal of Bionic Engineering》 SCIE EI 2008年第1期67-73,共7页
China is one of the largest meat producing countries in the wodd. With the growing concern for food safety more attention has been paid to meat quality. The application of conventional test methods for meat quality is... China is one of the largest meat producing countries in the wodd. With the growing concern for food safety more attention has been paid to meat quality. The application of conventional test methods for meat quality is limited by many factors, and subjectiveness, such as longer time to prepare samples and to test. A sensor matrix was constructed with several separate air sensors, and tests were conducted to detect the freshness of the beef. The results show that the air sensors TGS2610, TGS2600, TGS2611, TGS2620 and TGS2602 made by Tianjin Figaro Electronic Co, Ltd could be used to determine the degree of freshness but TGS2442 is not suitable. This study provides a foundation for designing and making an economical and practical detector for beef freshness. 展开更多
关键词 gas sensitive sensor matrix degree of beef freshness electronic nose
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Application of Lactic Acid Bacteria(LAB) in Freshness Keeping of Tilapia Fillets as Sashimi 认领 引用 被引量：6
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作者 CAO Rong LIU Qi +2 位作者 CHEN Shengjun YANG Xianqing LI Laihao 《Journal of Ocean University of China》 SCIE CAS 2015年第4期675-680,共6页
Aquatic products are extremely perishable food commodities. Developing methods to keep the freshness of fish represents a major task of the fishery processing industry. Application of Lactic Acid Bacteria(LAB) as food... Aquatic products are extremely perishable food commodities. Developing methods to keep the freshness of fish represents a major task of the fishery processing industry. Application of Lactic Acid Bacteria(LAB) as food preservative is a novel approach. In the present study, the possibility of using lactic acid bacteria in freshness keeping of tilapia fillets as sashimi was examined. Fish fillets were dipped in Lactobacillus plantarum 1.19(obtained from China General Microbiological Culture Collection Center) suspension as LAB-treated group. Changes in K-value, APC, sensory properties and microbial flora were analyzed. Results showed that LAB treatment slowed the increase of K-value and APC in the earlier storage, and caused a smooth decrease in sensory score. Gram-negative bacteria dominated during refrigerated storage, with Pseudomonas and Aeromonas being relatively abundant. Lactobacillus plantarum 1.19 had no obvious inhibitory effect against these Gram-negatives. However, Lactobacillus plantarum 1.19 changed the composition of Gram-positive bacteria. No Micrococcus were detected and the proportion of Staphylococcus decreased in the spoiled LAB-treated samples. The period that tilapia fillets could be used as sashimi material extended from 24 h to 48 h after LAB treatment. The potential of using LAB in sashimi processing was confirmed. 展开更多
关键词 lactic acid bacteria tilapia fillets sashimi freshness microbial flora
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Fruits and Vegetables Freshness Categorization Using Deep Learning 认领 引用 被引量：6
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作者 Labiba Gillani Fahad Syed Fahad Tahir +3 位作者 Usama Rasheed Hafsa Saqib Mehdi Hassan Hani Alquhayz 《Computers, Materials & Continua》 SCIE EI 2022年第6期5083-5098,共16页
The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness levels.The existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fre... The nutritional value of perishable food items,such as fruits and vegetables,depends on their freshness levels.The existing approaches solve a binary class problem by classifying a known fruit\vegetable class into fresh or rotten only.We propose an automated fruits and vegetables categorization approach that first recognizes the class of object in an image and then categorizes that fruit or vegetable into one of the three categories:purefresh,medium-fresh,and rotten.We gathered a dataset comprising of 60K images of 11 fruits and vegetables,each is further divided into three categories of freshness,using hand-held cameras.The recognition and categorization of fruits and vegetables are performed through two deep learning models:Visual Geometry Group(VGG-16)and You Only Look Once(YOLO),and their results are compared.VGG-16 classifies fruits and vegetables and categorizes their freshness,while YOLO also localizes them within the image.Furthermore,we have developed an android based application that takes the image of the fruit or vegetable as input and returns its class label and its freshness degree.A comprehensive experimental evaluation of proposed approach demonstrates that the proposed approach can achieve a high accuracy and F1score on gathered FruitVeg Freshness dataset.The dataset is publicly available for further evaluation by the research community. 展开更多
关键词 Fruits and vegetables classification degree of freshness deep learning object detection model VGG-16 YOLO-v5
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Determination of royal jelly freshness by ELISA with a highly specific anti-apalbumin 1,major royal jelly protein 1 antibody 认领 引用 被引量：4
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作者 Li-rong SHEN Yi-ran WANG +5 位作者 Liang ZHAI Wen-xiu ZHOU Liang-liang TAN Mei-lu LI Dan-dan LIU Fa XIAO 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2015年第2期155-166,共12页
Major royal jelly protein 1（MRJP1）, designated apalbumin 1, has been regarded as a freshness marker of royal jelly（RJ）. A MRJP1-specific peptide（IKEALPHVPIFD） identified by bioinformatics analysis of homologous ... Major royal jelly protein 1（MRJP1）, designated apalbumin 1, has been regarded as a freshness marker of royal jelly（RJ）. A MRJP1-specific peptide（IKEALPHVPIFD） identified by bioinformatics analysis of homologous members of the major royal protein family was synthesized and used to raise polyclonal anti-MRJP1 antibody（antiSP-MRJP1 antibody）. Western blot analysis showed that anti-SP-MRJP1 antibody only reacted with MRJP1 in RJ. In contrast, the previously reported antibody against recombinant MRJP1（anti-R-MRJP1 antibody） reacted with other members of MRJP family in RJ. Enzyme-linked immunosorbent assay（ELISA） using anti-SP-MRJP1 antibody demonstrated that MRJP1 content in RJ stored at 40 °C significantly degraded by 37.3%, 55.9%, 58.0%, 60.6%, 65.7%, 72.7%, and 73.1% at 7, 14, 21, 28, 35, 42, and 49 d, respectively, when compared with MRJP1 content in fresh RJ（0 d）. Optical density analysis of MRJP bands from sodium dodecyl sulfate-polyacrylamide gel electrophoresis（SDS-PAGE） profiles demonstrated that the degradation of MRJP1, MRJP2, MRJP3, and MRJP5 in RJ was strongly and positively correlated with the period of storage（P〈0.0001）. Our results indicated anti-SP-MRJP1 antibody was highly specific for MRJP1, and ELISA using the antibody is a sensitive and easy-to-use method to determine the freshness and authenticity of RJ. 展开更多
关键词 Freshness Royal jelly Major royal jelly protein 1（MRJP1） Enzyme-linked immunosorbent assay（ELISA） High specific antibody
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Development,Characterization and Application of a Three-Layer Intelligent pH-Sensing Indicator Based on Bromocresol Green(BCG)for Monitoring Fish Freshness 认领 引用 被引量：1
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作者 WEN Haiying OU Changrong +3 位作者 TANG Haiqing SANG Shangyuan DU Yingqi CHEN Jingyi 《Journal of Ocean University of China》 SCIE CAS CSCD 2023年第2期565-575,共11页
As a novel food quality monitoring technology,intelligent freshness indicator has received wide attention in recent years.However,its poor safety and stability are the main problems hindering its practical application... As a novel food quality monitoring technology,intelligent freshness indicator has received wide attention in recent years.However,its poor safety and stability are the main problems hindering its practical application.Hence a new pH-sensing indicator based on bromocresol green(BCG)was developed in this study for nondestructive and real-time monitoring the freshness of marine fishes.The indicator was designed with a three-layer structure,using the polytetrafluoroethylene(PTFE)membrane with high hydrophobicity and air permeability as the inner layer to isolate the moisture in the package,BCG-coated filter paper as the colorchanging layer to indicate the freshness of fish,and a transparent unidirectional permeable(TUP)membrane with moisture resistance as the out layer to isolate the moisture in the environment.This contributed to weaken the influence of humidity and prevent dye migration,so as to improve the accuracy and safety of the indicator.Therefore,a highly sensitive and distinguished color variation response to trimethylamine(TMA)standard solution with different concentrations was observed on the indicator.Additionally,the indicator showed a high color stability at different storage temperatures up to 14 days with total color differences(ΔE)less than 5.0.The indicator presented visible color variations from yellow to green then eventually to blue when applied to monitor the freshness of sea bass and salmon stored at 4℃,implying that fish was spoiled.Meanwhile,indicatorsΔE value was significantly positively correlated with total volatile basic nitrogen(TVB-N)and total viable count(TVC)in sea bass and salmon samples.Thus,the pH-sensing indicator can be applied as a cost-effective and promising intelligent indicator for monitoring fish freshness. 展开更多
关键词 fish freshness spoilage pH-sensing indicator color change bromocresol green(BCG) intelligent packaging
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Effect of Freshness Protection Package on Storage and Preservation of Chinese Cabbage 认领 引用 被引量：1
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作者 王希卓 孙洁 +2 位作者 张凯 杨琴 孙海亭 《Agricultural Science & Technology》 CAS 2016年第12期2742-2745,2808,共4页
The effect of freshness protection package on Chinese cabbage placed in the self-made shelf in ventilated storage was investigated, and the physiological-qual-ity indexes change were determined during the storage peri... The effect of freshness protection package on Chinese cabbage placed in the self-made shelf in ventilated storage was investigated, and the physiological-qual-ity indexes change were determined during the storage period. The results showed that the losses of weight and vitamin C were significantly reduced. The accumula-tion of crude fiber was effectively inhibited. But protein content was maintained at a low level and the rotting more serious of Chinese cabbage at the end of the stor-age packaged with the fresh keeping bags. 展开更多
关键词 Freshness protection package Chinese cabbage Preservation Ventilat-ed storage
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A Cooperative Schema between Web Sever and Search Engine for Improving Freshness of Web Repository 认领 引用 被引量：1
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作者 WEN Kun-mei LU Zheng-ding LI Yu-hua SUN Xiao-lin 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第1期11-14,共4页
Because the web is huge and web pages are updated frequently, the index maintained by a search engine has to refresh web pages periodically. This is extremely resource consuming because the search engine needs to craw... Because the web is huge and web pages are updated frequently, the index maintained by a search engine has to refresh web pages periodically. This is extremely resource consuming because the search engine needs to crawl the web and download web pages to refresh its index, Based on present technologies of web refreshing, we present a cooperative schema between web server and search engine for maintaining freshness of web repository. The web server provides metadata defined through XML standard to describe web sites. Before updating the web page the crawler visits the meta-data files. If the meta-data indicates that the page is not modified, then the crawler will not update it. So this schema can save bandwidth resource. A primitive model based on the schema is implemented. The cost and efficiency of the schema are analyzed. 展开更多
关键词 search engine freshness cooperative schema
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Effects of Salinity and Freezing on Freshness of Crucian 认领 引用
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作者 高桂生 史秋梅 +5 位作者 葛慕湘 陈娟 苏咏梅 董玉玲 韩红升 宋青春 《Agricultural Science & Technology》 CAS 2015年第12期2791-2794,2800,共4页
Salt tolerance and freeze preservation of crucian are always important concerns of people. There are rare reports on effect of different salinity on fresh- ness and quality. However, water salinity will directly affec... Salt tolerance and freeze preservation of crucian are always important concerns of people. There are rare reports on effect of different salinity on fresh- ness and quality. However, water salinity will directly affect osmotic pressure in fish, thereby affecting meat quality. In this study, the tolerance of crucian to different salinities （1‰, 2‰, 5‰, 8‰, 10‰ and 15‰） was investigated. In addition, the ef- fect of different salinity on freezing freshness and quality of crucian was studied. The results showed that the tolerance threshold of crucian to salinity was about 8‰, and the freezing quality of crucian in water with salinity of ‰ was significantly better than that in fresh water. 展开更多
关键词 Crucian Salinity Salt tolerance Freshness
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Information Freshness-Oriented Trajectory Planning and Resource Allocation for UAV-Assisted Vehicular Networks 认领 引用 被引量：4
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作者 Hao Gai Haixia Zhang +1 位作者 Shuaishuai Guo Dongfeng Yuan 《China Communications》 SCIE CSCD 2023年第5期244-262,共19页
In this paper,multi-UAV trajectory planning and resource allocation are jointly investigated to improve the information freshness for vehicular networks,where the vehicles collect time-critical traffic information by ... In this paper,multi-UAV trajectory planning and resource allocation are jointly investigated to improve the information freshness for vehicular networks,where the vehicles collect time-critical traffic information by on-board sensors and upload to the UAVs through their allocated spectrum resource.We adopt the expected sum age of information(ESAoI)to measure the network-wide information freshness.ESAoI is jointly affected by both the UAVs trajectory and the resource allocation,which are coupled with each other and make the analysis of ESAoI challenging.To tackle this challenge,we introduce a joint trajectory planning and resource allocation procedure,where the UAVs firstly fly to their destinations and then hover to allocate resource blocks(RBs)during a time-slot.Based on this procedure,we formulate a trajectory planning and resource allocation problem for ESAoI minimization.To solve the mixed integer nonlinear programming(MINLP)problem with hybrid decision variables,we propose a TD3 trajectory planning and Round-robin resource allocation(TTPRRA).Specifically,we exploit the exploration and learning ability of the twin delayed deep deterministic policy gradient algorithm(TD3)for UAVs trajectory planning,and utilize Round Robin rule for the optimal resource allocation.With TTP-RRA,the UAVs obtain their flight velocities by sensing the locations and the age of information(AoI)of the vehicles,then allocate the RBs to the vehicles in a descending order of AoI until the remaining RBs are not sufficient to support another successful uploading.Simulation results demonstrate that TTP-RRA outperforms the baseline approaches in terms of ESAoI and average AoI(AAoI). 展开更多
关键词 information freshness for vehicular networks multi-UAV trajectory planning resource allocation deep reinforcement learning
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Information freshness optimization of multiple status update streams in Internet of things:Generation rate control and service rate reservation 认领 引用 被引量：1
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作者 Tianci Zhang Junjie Zhou +3 位作者 Zhengchuan Chen Zhong Tian Wanli Wen Yunjian Jia 《Digital Communications and Networks》 SCIE CSCD 2023年第4期971-980,共10页
The Internet of things(IoT)has become a key infrastructure providing up-to-date and fresh information for policy analysis and decision-making of upper-layer applications.However,there are limited sensing and communica... The Internet of things(IoT)has become a key infrastructure providing up-to-date and fresh information for policy analysis and decision-making of upper-layer applications.However,there are limited sensing and communication resources in IoT devices,which significantly affects the timeliness and freshness of the updated status.This work proposes two schemes,namely,the generation rate control and service rate reservation schemes,to improve the overall information freshness of multiple status update streams at the receiver.Specifically,using the recently proposed Age of Information(AoI)as the metric for evaluating information freshness,we characterized the overall information freshness,i.e.,the overall average AoI at the receiver for both schemes,by considering the urgency difference of status update and streams.Both schemes for status updates and streams,respectively,were formulated as two optimization problems.We proved that both problems are convex and the optimal generation and service rates for different streams are found by the standard convex optimization algorithm.Moreover,we proposed both approximate optimal generation and approximate optimal service rate for fast deployment in heavy and light load cases.Numerical results verify the theoretical findings and accuracy of the proposed approximate solutions,guiding the design and deployment of IoT. 展开更多
关键词 Internet of things Information freshness Age of information Multi-source M/M/1 queuing model
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Development and design of an intelligent monitoring system for cold chain meat freshness 认领 引用
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作者 Zhengbao Niu Jiajia Yang +7 位作者 Yaodi Zhu Lina Xu Shufeng Yang Miaoyun Li Lijun Zhao Yuanyuan Zhang Qing Guo Gaiming Zhao 《Food Materials Research》 2023年第1期309-318,共10页
Cold chain meat has become the main force of meat consumption in China due to its unique taste and rich nutrition.However,there are serious regulatory blind spots throughout the cold chain process,making it difficult ... Cold chain meat has become the main force of meat consumption in China due to its unique taste and rich nutrition.However,there are serious regulatory blind spots throughout the cold chain process,making it difficult to monitor the freshness quality and shelf life of cold chain meat in real time.Therefore,in this study,the dominant spoilage microorganism prediction model for cold chain meat was parsed to predict the logarithmic value of the dominant spoilage microorganism in real time based on temperature information,which was compared with the freshness quality threshold to derive real-time quality information.This paper proposes to develop the system with ASP.NET three-tier architecture as the development framework and.NET Framework 4.6.2 as the development environment.Combining MySQL 5.7.31 application database,Vue 2.6 and Apache ECharts front-end technology development a intelligent monitoring system for cold chain meat freshness.The system has five core application modules:multi-role login module,big data visualization and analysis module,product information management module,product freshness quality and shelf life real-time monitoring and warning module,and system setting module,to monitor the freshness quality and shelf life of cold chain meat products at all stages,real time.The development of this system can realize the real-time supervision of the quality of cold chain meat products in the whole industrial chain of processing,storage,transportation and sales,timely detect product abnormalities,provide technical support for food enterprises,and provide food safety assurance for consumers. 展开更多
关键词 spoilage microorganism prediction cold chain meat three tier architecture intelligent monitoring system meat freshness predict logarithmic value ASP NET cold chain
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Developing a Machine Vision System Equipped with UV Light to Predict Fish Freshness Based on Fish-Surface Color 认领 引用 被引量：3
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作者 Qiuhong Liao Chao Wei +2 位作者 Ying Li Lin’an Guo Huaxue Ouyang 《Food and Nutrition Sciences》 CAS 2021年第3期239-248,共10页
This study assessed the feasibility of developing a machine vision system equipped with ultraviolet (UV) light, using changes in fish-surface color to predict aerobic plate count (APC, a standard freshness indicator) ... This study assessed the feasibility of developing a machine vision system equipped with ultraviolet (UV) light, using changes in fish-surface color to predict aerobic plate count (APC, a standard freshness indicator) during storage. The APC values were tested and images of the fish surface were taken when fish were stored at room temperature. Then, images’ color-space conversion among RGB, HSV, and L*a*b* color spaces was carried out and analyzed. The results revealed that a* and b* values from the UV-light image decreased linearly during storage. A further regression analysis of these two parameters with APC value demonstrated a good exponential relationship between the a* value and the APC value (R2 = 0.97), followed by the b* (R2 = 0.85). Therefore, our results suggest that the change in color of the fish surface under UV light can be used to assess fish freshness during storage. 展开更多
关键词 Fish Freshness Machine Vision UV Light Color Parameters
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A New Method for the Non-destructive Determination of Fish Freshness by Nuclear Imaging 认领 引用
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作者 LIU Zhongdong LI Zhenxing +1 位作者 LIN Hong DONG Caiwen 《Journal of Ocean University of China》 CAS 2005年第3期240-243,共4页
A new method for determining the freshness of harvested carp using nuclear imaging technology is presented.This research attempted to determine the freshness of carp by measuring the radioactive area increase (RAI) va... A new method for determining the freshness of harvested carp using nuclear imaging technology is presented.This research attempted to determine the freshness of carp by measuring the radioactive area increase (RAI) value of fish.The carp samples were maintained under refrigerated condition for 12d, and RAI and total volatile base nitrogen (T-VBN)values were determined during the storage. The results showed that the RAI value increased with the T-VBN content duringthe storage. Also, there is a significant correlation between T-VBN content and RAI value of the carp kept in refrigeratedcondition. The results of this study suggest that the RAI value could be utilized to evaluate rapidly the freshness of carp. 展开更多
关键词 radioactive area increase （RAI） freshness sensory value T-VBN
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Exudate-based metabolomics: A novel strategy for tracking beef freshness during chilled storage 认领 引用
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作者 Wu Wang Peilin Weng +4 位作者 Jiali Peng Yujing Wang Lanfang Wan Fei Ma Hui Zhou 《Food Bioscience》 SCIE 2026年第4期815-825,共11页
Fresh beef is highly susceptible to spoilage during refrigerated storage,yet current freshness assessment ap-proaches remain limited by their invasiveness or low sensitivity.Beef exudate,a naturally released fluid enr... Fresh beef is highly susceptible to spoilage during refrigerated storage,yet current freshness assessment ap-proaches remain limited by their invasiveness or low sensitivity.Beef exudate,a naturally released fluid enriched with soluble metabolites,represents a promising yet underutilized matrix for non-invasive freshness assessment.This study applied non-targeted metabolomics to characterize spoilage-related metabolites in beef exudate and to clarify their association with freshness.Beef shank muscles were stored at 7±1℃,after which exudates were collected for physicochemical analyses and non-targeted metabolomic profiling using UHPLC-MS/MS.Comparative analyses revealed that metabolic variations in exudate closely mirrored physicochemical deterio-ration trends observed in the corresponding beef tissue.Among 1703 detected metabolites,62 changed signif-icantly during storage.Pathway enrichment identified the pivotal involvement of arginine metabolism and amino acid biosynthesis in spoilage progression.Correlation analysis further highlighted five key com-pounds-5′-methylthioadenosine,7-methylxanthine,N-methyltryptamine,L-phenylalanine,and spermine-as candidate freshness markers.Overall,this study demonstrates that exudate-based metabolomics offers an effective and non-invasive strategy for monitoring beef freshness,providing new insights for intelligent quality evaluation and spoilage prediction in the meat industry. 展开更多
关键词 Beef freshness Exudate Non-targeted metabolomics Biomarkers Refrigerated spoilage
Decoding the aroma of freshness:The characterization of universal key aroma compounds in blueberry wines through sensomics methods 认领 引用
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作者 Zhijun Guo Yue Wang +5 位作者 Yajuan Li Hongli Yang Lulu Song Tingting Ma Yulin Fang Xiangyu Sun 《Food Bioscience》 SCIE 2026年第2期1163-1174,共12页
Blueberry wine presents a novel and promising alternative to traditional grape wines,with its pronounced freshness,floral,and fruity aroma being particularly appealing to consumers.However,the key aroma-active compoun... Blueberry wine presents a novel and promising alternative to traditional grape wines,with its pronounced freshness,floral,and fruity aroma being particularly appealing to consumers.However,the key aroma-active compounds responsible for its freshness-associated aroma were unclear.This study determined the characteristics of aroma compounds among eighteen blueberry wine samples(including seven commercial blueberry wines and eleven lab-brewed blueberry wines)by sensomics.A total of 132 aroma compounds were quantified by two-dimensional gas chromatography and time-of-flight mass spectrometry.Gas chromatographyolfactometry and odor activity values indicated that 31 aroma-active compounds were the major aroma contributors in blueberry wines.Orthogonal partial least squares-discriminant analysis results showed that freshness demonstrates a positive correlation with floral,and isopentanol,linalool,geraniol,β-myrcene andβ-damascone exhibited a positive correlation with freshness aroma attributes.The recombination,omission and addition tests clarified that linalool and geraniol contributed to the freshness attribute most.Whereas ethyl 2-methylbutyrate,ethyl 2-furoate and LIMETOL are aging markers,they do not directly cause freshness decline.This study provides important reference information to further enhance the blueberry wine's quality and appeal. 展开更多
关键词 Blueberry wine GC×GC-qTOFMS Key aroma compounds Freshness odor note Aroma recombination Aroma omission
Corrigendum to“Preparation of a Co-pigmentation-based microneedle patch indicator and its application in freshness detection”[Food Bioscience,(75),108179] 认领 引用
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作者 Xiaoyu Gao Mingjuan Ma +1 位作者 Jing Qian Liqiang Wang 《Food Bioscience》 SCIE 2026年第3期1480-1481,共2页
The authors regret an error in the vertical axis labels of Fig.7(f)and(g).Upon reviewing the published article,we discovered that due to our oversight,the vertical axis labels in Fig.7(f)and(g)were incorrectly labelle... The authors regret an error in the vertical axis labels of Fig.7(f)and(g).Upon reviewing the published article,we discovered that due to our oversight,the vertical axis labels in Fig.7(f)and(g)were incorrectly labelled as“ΔE”instead of“Swelling Ratio(%)”.This error has now been corrected.The relevant annotations,analyses,and underlying data remain unchanged and are accurate. 展开更多
关键词 microneedle patch freshness detection co pigmentation vertical axis labels correction underlying data
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