Evidence map›Paper›PMID 40060885›Full record

ArticleACS omega2025

Research on a Concentration Detection Method for Turbid Media Based on Multipath Combination.

Zhe Zhao, Yuyan Yang, Xinming Dong, Huiquan Wang, Ruina Zhu, Guang Han, Jinhai Wang

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Zhe ZhaoSchool of Electronics and Information Engineering, Tiangong University, Tianjin 300387, China.
Yuyan YangSchool of Electronics and Information Engineering, Tiangong University, Tianjin 300387, China.
Xinming DongTianjin Rehabilitation Convalescent Center, Tianjin 300191, China.
Huiquan WangSchool of Life Sciences, Tiangong University, Tianjin 300387, China.ORCID https://orcid.org/0000-0002-7896-303X
Ruina ZhuSchool of Life Sciences, Tiangong University, Tianjin 300387, China.
Guang HanSchool of Life Sciences, Tiangong University, Tianjin 300387, China.
Jinhai WangSchool of Life Sciences, Tiangong University, Tianjin 300387, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to improve the accuracy of concentration detection in turbid media, this study proposes a solution concentration detection method based on a variable-angle wedge-shaped sample cell. Each angle of the wedge-shaped sample cell corresponds to a specific optical path combination. By measuring at multiple wedge angles, we can expand a variety of optical path combinations, providing more information about the turbid media. In this study, transmission light intensity distribution characteristics of phantom solutions were collected at wedge angles ranging from 10 to 45°, with a 5° interval, and a multipath combination detection model was constructed. By analyzing the distribution characteristics of the transmission light intensity along the gradient direction, multipath combination information was fused, and a calibration model was constructed using partial least-squares regression. The results show that, compared to the detection method using a fixed-angle to construct multiple optical paths, the multipath combination method effectively improves the accuracy of concentration detection in turbid media, with a prediction set correlation coefficient (Rp) reaching 0.995. Therefore, this study proposes a new method to enhance the accuracy of turbid media detection by utilizing scattering characteristics through the construction of a multipath combination model by varying the wedge-shaped sample cell angles.

Identifiers

PMID40060885
PMCPMC11886670

What OpenQuestion holds

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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.