{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T03:17:23Z","timestamp":1780370243674,"version":"3.54.1"},"reference-count":31,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T00:00:00Z","timestamp":1674432000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2019YFD0901705"],"award-info":[{"award-number":["2019YFD0901705"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The shell-closing strength (SCS) of oysters is the main parameter for physiological activities. The aim of this study was to evaluate the applicability of SCS as an indicator of live oyster health. This study developed a flexible pressure sensor system with polydimethylsiloxane (PDMS) as the substrate and reduced graphene oxide (rGO) as the sensitive layer to monitor SCS in live oysters (rGO-PDMS). In the experiment, oysters of superior, medium and inferior grades were selected as research objects, and the change characteristics of SCS were monitored at 4 \u00b0C and 25 \u00b0C. At the same time, the time series model was used to predict the survival rate of live oyster on the basis of changes in their SCS characteristics. The survival times of superior, medium and inferior oysters at 4 \u00b0C and 25 \u00b0C were 31\/25\/18 days and 12\/10\/7 days, respectively, and the best prediction accuracies for survival rate were 89.32%\/82.17%\/79.19%. The results indicate that SCS is a key physiological indicator of oyster survival. The dynamic monitoring of oyster vitality by means of flexible pressure sensors is an important means of improving oyster survival rate. Superior oysters have a higher survival rate in low-temperature environments, and our method can provide effective and reliable survival prediction and management for the oyster industry.<\/jats:p>","DOI":"10.3390\/s23031308","type":"journal-article","created":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T01:29:45Z","timestamp":1674523785000},"page":"1308","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["rGO-PDMS Flexible Sensors Enabled Survival Decision System for Live Oysters"],"prefix":"10.3390","volume":"23","author":[{"given":"Pengfei","family":"Liu","sequence":"first","affiliation":[{"name":"Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3525-1470","authenticated-orcid":false,"given":"Luwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"You","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huanhuan","family":"Feng","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0395-928X","authenticated-orcid":false,"given":"Xiaoshuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.ejar.2014.02.001","article-title":"Biochemical Profile of Oyster Crassostrea Madrasensis and Its Nutritional Attributes","volume":"40","author":"Asha","year":"2014","journal-title":"Egypt. 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