Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment

Published:2024-08 Issue: Volume:448 Page:139078
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Lin Yuandong,Ma Ji,Sun Da-Wen^ORCID,Cheng Jun-Hu,Zhou Chenyue

Publisher

Elsevier BV

Reference54 articles.

1. Sentiment analysis of customer reviews of food delivery services using deep learning and explainable artificial intelligence: Systematic review;Adak;Foods,2022

2. Highly fluorescent copper nanoclusters for sensing and bioimaging;An;Biosensors and Bioelectronics,2020

3. A multicolor fluorescent sensor array based on curcumin and its analogs as a shrimp freshness indicator;Cai;Sensors and Actuators B: Chemical,2022

4. Continuous monitoring of temperature and freshness in cold chain transport based on the dual-responsive fluorescent hydrogel;Cao;Food Chemistry,2024

5. Cyanostilbene-based fluorescent paper array for monitoring fish and meat freshness via amino content detection;Dhinakaran;Microchimica Acta,2023

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel fluorescence platform for portable and visual monitoring of meat freshness;Biosensors and Bioelectronics;2025-01

2. CR-YOLOv9: Improved YOLOv9 Multi-Stage Strawberry Fruit Maturity Detection Application Integrated with CRNET;Foods;2024-08-17

3. Elevating nanomaterial optical sensor arrays through the integration of advanced machine learning techniques for enhancing visual inspection of food quality and safety;Critical Reviews in Food Science and Nutrition;2024-07-17

4. Machine learning-assisted nanosensor arrays: An efficiently high-throughput food detection analysis;Trends in Food Science & Technology;2024-07

5. The Application of Multi-Parameter Multi-Modal Technology Integrating Biological Sensors and Artificial Intelligence in the Rapid Detection of Food Contaminants;Foods;2024-06-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3