Evidence map›Paper›PMID 42778776›Full record

ArticleJournal of fluorescence2026

A Near-infrared Fluorescent Probe for Sensitive Detection of Viscosity in Biosystems and Beverages Spoilage.

Yu Zhu Yang, Gui Yong Li, Nan Jun Huang, Huan Li Liu, Xin Dai

Abstract read
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In one paragraph

Article in Journal of fluorescence, 2026. 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

5 authors.

Yu Zhu YangDepartment of Basic Teaching, Zunyi Medical and Pharmaceutical College, Zunyi, 563006, PR China. yangyuzhus@163.com.
Gui Yong LiDepartment of Basic Teaching, Zunyi Medical and Pharmaceutical College, Zunyi, 563006, PR China.
Nan Jun HuangDepartment of Basic Teaching, Zunyi Medical and Pharmaceutical College, Zunyi, 563006, PR China.
Huan Li LiuDepartment of Basic Teaching, Zunyi Medical and Pharmaceutical College, Zunyi, 563006, PR China.
Xin DaiDepartment of Basic Teaching, Zunyi Medical and Pharmaceutical College, Zunyi, 563006, PR China. 307574046@qq.com.

Funding

Team Research Project of Zunyi Medical and Pharmaceutical College (2026)13the Guizhou Provincial Department of Science and Technology and the General Projects of China Qiankehe Foundation MS (2025)035Zunyi City and School Joint Project of China Zun City Kehe HZ Word (2024)396
6 · The paper itself

Abstract

Viscosity is a key parameter for the quality of liquid foods and is also closely related to the occurrence of various diseases in biological systems. Therefore, real-time monitoring of microviscosity changes in food and intracellular is of great significance. In this paper, a near-infrared viscosity probe (CDM) was exploited, which enables highly specific and sensitive monitoring of viscosity changes in food and intracellular environments. The CDM exhibits a 27-fold enhancement in fluorescence intensity under high-viscosity conditions, demonstrating excellent sensitivity and selectivity, along with superior photostability and biocompatibility. Probe CDM was applied to monitor the viscosity changes induced by Nystatin and Momantin in liver cancer cells and effectively monitored the dynamic changes of intracellular viscosity in APAP-induced liver injury. Furthermore, this probe has successfully measured the viscosity changes of two different juices during spoilage. These research results indicate that CDM can serve as a novel analytical method for monitoring the viscosity changes of beverage spoilage during the spoilage process, and also as a reliable tool for early diagnosis of liver diseases and exploration of their underlying pathogenesis.

Indexed as

Beverage spoilageLiver disease, bioimagingNear-infrared fluorescent probeViscosity

Identifiers

What OpenQuestion holds

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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.