Evidence map›Paper›PMID 36433573›Full record

ArticleSensors (Basel, Switzerland)2022

Hybrid Vibration and UV Fluorescence Technology for Rapid Imaging and Guidance for Manual Removal of Fish Bones from Fish Floss.

Yen-Hsiang Wang, Kuan-Chieh Lee, Wen-Chun Wei, Chung-Huang Wang, Hao-Jie Liu, Jia-Rong Hou, Tien-Chen Hsieh, Ju-Kai Chen, Ting-Yuan Chen, Shien-Kuei Liaw and 4 more

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Yen-Hsiang WangInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Kuan-Chieh LeeInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Wen-Chun WeiInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Chung-Huang WangProduct and Process Research Center, Food Industry Research and Development Institute, Hsinchu 300, Taiwan.
Hao-Jie LiuInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Jia-Rong HouInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Tien-Chen HsiehInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Ju-Kai ChenInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Ting-Yuan ChenInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Shien-Kuei LiawDepartment of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Choa-Feng LinDepartment of Electronic Engineering, Asia Eastern University of Science and Technology, New Taipei 220, Taiwan.
Chin-Cheng WuInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.
Jen-Jie ChiehInstitute of Electro-Optical Engineering, National Taiwan Normal University, Taipei 116, Taiwan.ORCID 0000-0002-7144-2637
Chin-Hung ChangProduct and Process Research Center, Food Industry Research and Development Institute, Hsinchu 300, Taiwan.

Funding

National Taiwan University of Science and Technologythe Ministry of Science and Technology, Taiwan MOST 110-2622-E-003-004-
6 · The paper itself

Abstract

The objective of the proposed human-machine cooperation (HMC) workstation is to both rapidly detect calcium-based fish bones in masses of minced fish floss and visually guide operators in approaching and removing the detected fish bones by hand based on the detection of fingernails or plastic-based gloves. Because vibration is a separation mechanism that can prevent absorption or scattering in thick fish floss for UV fluorescence detection, the design of the HMC workstation included a vibration unit together with an optical box and display screens. The system was tested with commonly used fish (swordfish, salmon, tuna, and cod) representing various cooking conditions (raw meat, steam-cooked meat, and fish floss), their bones, and contaminating materials such as derived from gloves made of various types of plastic (polyvinylchloride, emulsion, and rubber) commonly used in the removal of fish bones. These aspects were each investigated using the spectrum analyzer and the optical box to obtain and analyze the fluorescence spectra and images. The filter was mounted on a charge-coupled device, and its transmission-wavelength window was based on the characteristic band for fish bones observed in the spectra. Gray-level AI algorithm was utilized to generate white marker rectangles. The vibration unit supports two mechanisms of air and downstream separation to improve the imaging screening of fish bones inside the considerable flow of fish floss. Notably, under 310 nm ultraviolet B (UVB) excitation, the fluorescence peaks of the raw fillets, steam-cooked meat, and fish floss were observed at for bands at longer wavelengths (500-600 nm), whereas those of the calcium and plastic materials occurred in shorter wavelength bands (400-500 nm). Perfect accuracy of 100% was achieved with the detection of 20 fish bones in 2 kg of fish floss, and the long test time of around 10-12 min results from the manual removal of these fish bones.

Indexed as

CalciumVibrationAnimalsFishesFluorescenceHumansPlasticsSteamTechnologyCalciumPlasticsSteamfish bonesfish flossfluorescencefood safetyimagingmonitorultravioletvibration

Identifiers

PMID36433573
PMCPMC9699430

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.