Machine vision-based colorimetric sensor systems for food applications

被引：24

作者：

Jia, Xiaoxue ^{[1
]}

Ma, Peihua ^{[1
]}

Tarwa, Kevin ^{[1
]}

Wang, Qin ^{[1
]}

机构：

[1] Univ Maryland, Coll Agr & Nat Resources, Dept Nutr & Food Sci, College Pk, MD 20742 USA

来源：

JOURNAL OF AGRICULTURE AND FOOD RESEARCH | 2023年 / 11卷

关键词：

RECURRENT NEURAL-NETWORKS; ARRAY; CLASSIFICATION; PREDICTION;

D O I：

10.1016/j.jafr.2023.100503

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Food safety and quality are of importance in daily life. Colorimetric sensors can be used to rapidly and sensitively detect food safety and quality parameters. In this review, we summarize the recent developments and applications of colorimetric sensors in the field of food safety and quality determination. The principles, and advantage and disadvantage of machine vision are firstly discussed. Then, food application including food quality, food classification, and food poisoning related progress have been reviewed. In addition, the current challenges and future perspectives in the field of machine vision-based colorimetric sensor (MVBCS) for food safety and quality determination have also been highlighted. With the application of MVBCS in daily life, it is expected that food safety and quality can be improved in the near future.

引用

页数：8

共 59 条

[31] Integrated Portable Shrimp-Freshness Prediction Platform Based on Ice-Templated Metal-Organic Framework Colorimetric Combinatorics and Deep Convolutional Neural Networks [J].

Ma, Peihua ;

Zhang, Zhi ;

Xu, Wenhao ;

Teng, Zi ;

Luo, Yaguang ;

Gong, Cheng ;

Wang, Qin .

ACS SUSTAINABLE CHEMISTRY & ENGINEERING, 2021, 9 (50) :16926-16936

[32] Colorimetric Sensor Array for Monitoring, Modelling and Comparing Spoilage Processes of Different Meat and Fish Foods [J].

Magnaghi, Lisa Rita ;

Capone, Federica ;

Zanoni, Camilla ;

Alberti, Giancarla ;

Quadrelli, Paolo ;

Biesuz, Raffaela .

FOODS, 2020, 9 (05)

[33] Food quality and safety monitoring using gas sensor array in intelligent packaging [J].

Matindoust, Samaneh ;

Baghaei-Nejad, Majid ;

Abadi, Mohammad Hadi Shahrokh ;

Zou, Zhuo ;

Zheng, Li-Rong .

SENSOR REVIEW, 2016, 36 (02) :169-183

[34] Development and validation of a colorimetric sensor array for fish spoilage monitoring [J].

Morsy, Mohamed K. ;

Zor, Kinga ;

Kostesha, Nathalie ;

Alstrom, Tommy Sonne ;

Heiskanen, Arto ;

El-Tanahi, Hassan ;

Sharoba, Ashraf ;

Papkovsky, Dmitri ;

Larsen, Jan ;

Khalaf, Hassan ;

Jakobsen, Mogens Havsteen ;

Emneus, Jenny .

FOOD CONTROL, 2016, 60 :346-352

[35]

O'Shea K, 2015, Arxiv, DOI arXiv:1511.08458

[36] Classification of rice wine according to different marked ages using a novel artificial olfactory technique based on colorimetric sensor array [J].

Ouyang, Qin ;

Zhao, Jiewen ;

Chen, Quansheng ;

Lin, Hao .

FOOD CHEMISTRY, 2013, 138 (2-3) :1320-1324

[37] Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons [J].

Pang, Zhihong ;

Niu, Fuxin ;

O'Neill, Zheng .

RENEWABLE ENERGY, 2020, 156 (156) :279-289

[38] Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend [J].

Pazikadin, Abdul Rahim ;

Rifai, Damhuji ;

Ali, Kharudin ;

Malik, Muhammad Zeesan ;

Abdalla, Ahmed N. ;

Faraj, Moneer A. .

SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 715 (715)

[39] Glycerol-Based Dendrimer Nanocomposite Film as a Tunable pH-Sensor for Food Packaging [J].

Pounds, Karyn ;

Jairam, Suguna ;

Bao, Hanxi ;

Meng, Shanyu ;

Zhang, Lin ;

Godinez, Scarlett ;

Savin, Daniel A. ;

Pelletier, William ;

Correll, Melanie J. ;

Tong, Zhaohui .

ACS APPLIED MATERIALS & INTERFACES, 2021, 13 (19) :23268-23281

[40] Silver Nanoparticles as Colorimetric Sensors for Water Pollutants [J].

Prosposito, Paolo ;

Burratti, Luca ;

Venditti, Iole .

CHEMOSENSORS, 2020, 8 (02)

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