Advancing Food Safety Sensing through Artificial Intelligence: Machine Learning-Enhanced Biosensors in Action-Reference-Cited by-同舟云学术

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Advancing Food Safety Sensing through Artificial Intelligence: Machine Learning-Enhanced Biosensors in Action

Published:2024-05-28 Issue: Volume:5 Page:25
ISSN:
Container-title:The 4th International Electronic Conference on Biosensors
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Author:

Barciela Paula¹^ORCID,Perez-Vazquez Ana¹,Silva Aurora¹²^ORCID,Barroso M. Fatima²,Carpena Maria¹^ORCID,Prieto Miguel A.¹^ORCID

Affiliation:

1. Universidade de Vigo, Nutrition and Bromatology Group, Department of Analytical Chemistry and Food Science, Instituto de Agroecoloxía e Alimentación (IAA)–CITEXVI, 36310 Vigo, Spain

2. REQUIMTE/LAQV, Instituto Superior de Engenharia do Porto, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida 431, 4200-072 Porto, Portugal

Publisher

MDPI

Link

https://www.mdpi.com/2504-3900/104/1/25/pdf

Reference5 articles.

1. Advancing Biosensors with Machine Learning;Cui;ACS Sens.,2020

2. Chen, Y., Wang, Y., Zhang, Y., Wang, X., Zhang, C., and Cheng, N. (2024). Intelligent Biosensors Promise Smarter Solutions in Food Safety 4.0. Foods, 13.

3. Pampoukis, G., Lytou, A.E., Argyri, A.A., Panagou, E.Z., and Nychas, G.-J.E. (2022). Recent Advances and Applications of Rapid Microbial Assessment from a Food Safety Perspective. Sensors, 22.

4. Kakkar, S., Gupta, P., Kumar, N., and Kant, K. (2023). Progress in Fluorescence Biosensing and Food Safety towards Point-of-Detection (PoD) System. Biosensors, 13.

5. Food Sensors: Challenges and Opportunities;Weston;Adv. Mater. Technol.,2021

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