Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness-Reference-Cited by-同舟云学术

Deep Learning Used with a Colorimetric Sensor Array to Detect Indole for Nondestructive Monitoring of Shrimp Freshness

Published:2024-07-09 Issue:29 Volume:16 Page:37445-37455
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Zhang Lihui¹²,Zhang Min¹³^ORCID,Mujumdar Arun S.⁴,Wang Dayuan¹²

Affiliation:

1. State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China

2. Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, Wuxi, Jiangsu 214122, China

3. China General Chamber of Commerce Key Laboratory on Fresh Food Processing & Preservation, Jiangnan University, Wuxi, Jiangsu 214122, China

4. Department of Bioresource Engineering, Macdonald Campus, McGill University, Montreal H3A 0G4, Quebec, Canada

Funder

Graduate Research and Innovation Projects of Jiangsu Province

National Key Research and Development Program of China

Jiangsu Province Key Laboratory Project of Advanced Food Manufacturing Equipment and Technology

National First-Class Discipline Program of Food Science and Technology

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c04223

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4. Efficient physical extraction of active constituents from edible fungi and their potential bioactivities: A review

5. pH-responsive chitosan-based film containing oregano essential oil and black rice bran anthocyanin for preserving pork and monitoring freshness