Evidence map›Paper›PMID 36772351›Full record

ArticleSensors (Basel, Switzerland)2023

rGO-PDMS Flexible Sensors Enabled Survival Decision System for Live Oysters.

Pengfei Liu, Luwei Zhang, You Li, Huanhuan Feng, Xiaoshuan Zhang, Mengjie Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pengfei LiuBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
Luwei ZhangBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-3525-1470
You LiBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
Huanhuan FengBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
Xiaoshuan ZhangBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.ORCID 0000-0002-0395-928X
Mengjie ZhangBeijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.

Funding

This work was supported by the NationalKey R&D Program of China under grant 2019YFD0901705
6 · The paper itself

Abstract

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 °C and 25 °C. 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 °C and 25 °C 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.

Indexed as

OstreidaeAnimalsCold TemperatureDimethylpolysiloxanesGraphiteSeafoodDimethylpolysiloxanesgraphene oxideGraphiteflexible sensorlive oystersshell-closing strengthsurvival prediction

Identifiers

PMID36772351
PMCPMC9919715

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.