Evidence map›Paper›PMID 35062644›Full record

ArticleSensors (Basel, Switzerland)2022

Freshness Identification of Oysters Based on Colorimetric Sensor Array Combined with Image Processing and Visible Near-Infrared Spectroscopy.

Binbin Guan, Wencui Kang, Hao Jiang, Mi Zhou, Hao Lin

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Binbin GuanNantong Food and Drug Supervision and Inspection Center, Nantong 226400, China.ORCID 0000-0002-7314-1926
Wencui KangSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Hao JiangSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Mi ZhouNantong Food and Drug Supervision and Inspection Center, Nantong 226400, China.
Hao LinSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.
Jiangsu University · CNShandong Institute of Food and Drug Inspection · CN

Funding

Jiangsu Agricultural Independent Innovation Fund SCX203321National Natural Science Foundation of China 31972154Natural Science Foundation of Jiangsu Province BK20190238
6 · The paper itself

Abstract

Volatile organic compounds (VOCs) could be used as an indicator of the freshness of oysters. However, traditional characterization methods for VOCs have some disadvantages, such as having a high instrument cost, cumbersome pretreatment, and being time consuming. In this work, a fast and non-destructive method based on colorimetric sensor array (CSA) and visible near-infrared spectroscopy (VNIRS) was established to identify the freshness of oysters. Firstly, four color-sensitive dyes, which were sensitive to VOCs of oysters, were selected, and they were printed on a silica gel plate to obtain a CSA. Secondly, a charge coupled device (CCD) camera was used to obtain the "before" and "after" image of CSA. Thirdly, VNIS system obtained the reflected spectrum data of the CSA, which can not only obtain the color change information before and after the reaction of the CSA with the VOCs of oysters, but also reflect the changes in the internal structure of color-sensitive materials after the reaction of oysters' VOCs. The pattern recognition results of VNIS data showed that the fresh oysters and stale oysters could be separated directly from the principal component analysis (PCA) score plot, and linear discriminant analysis (LDA) model based on variables selection methods could obtain a good performance for the freshness detection of oysters, and the recognition rate of the calibration set was 100%, while the recognition rate of the prediction set was 97.22%. The result demonstrated that the CSA, combined with VNIRS, showed great potential for VOCS measurement, and this research result provided a fast and nondestructive identification method for the freshness identification of oysters.

Indexed as

OstreidaeVolatile Organic CompoundsAnimalsColorimetryDiscriminant AnalysisSpectroscopy, Near-InfraredVolatile Organic Compoundscolorimetric sensor arrayoystersstorage timevariable screeningvisible near-infrared spectroscopy

Identifiers

PMID35062644
PMCPMC8781135
OpenAlexW4205649131

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Registered trials

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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.