Evidence map›Paper›PMID 40653569›Full record

ArticleAnalytical and bioanalytical chemistry2025

Enzyme-induced fluorescence signal-on for specific detection of alkaline phosphatase and imaging in live cells.

Zhifeng Wang, Yu Huang, Ke Pei, Tingting Feng

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. 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

4 authors.

Zhifeng Wang *Department of Digestive Endoscopy, Shanxi Provincial People's Hospital, Taiyuan, 030012, China.
Yu Huang *College of Traditional Chinese Medicine and Food Engineering, Shanxi University of Chinese Medicine, Jinzhong, 030619, China.
Ke PeiCollege of Traditional Chinese Medicine and Food Engineering, Shanxi University of Chinese Medicine, Jinzhong, 030619, China.
Tingting FengCollege of Traditional Chinese Medicine and Food Engineering, Shanxi University of Chinese Medicine, Jinzhong, 030619, China. tingtingfeng1985@126.com.

Funding

the Natural Science Foundation Project of Shanxi Province 202303021221158the Special Fund for Science and Technology Innovation Teams of Shanxi Province 202304051001044
6 · The paper itself

Abstract

A highly sensitive and stable fluorescent strategy for detecting alkaline phosphatase (ALP) in complex samples was developed using oxidized single-walled carbon nanohorns (oxSWCNHs) and exonuclease I (Exo I). A ssDNA probe, comprising a fluorophore-labeled aptamer and a 3' phosphate group, was designed and synthesized. In the absence of ALP, the ssDNA probe binds to oxSWCNHs, causing fluorescence quenching. When ALP is present, it removes the 3' phosphate group from the ssDNA, releasing a free 3'-OH group. The dephosphorylated ssDNA is then hydrolyzed by Exo I, generating a single base and FAM, which cannot bind to oxSWCNHs, resulting in enhanced fluorescence of the system. This strategy was successfully applied to image hepatocytes, showing the potential of our sensing system for ALP bioimaging in living cells. The method has good selectivity and high sensitivity under optimized experimental conditions, with a detection limit of 0.4 mU/mL and a range of 0.5-50 mU/mL. Additionally, it was used to study the inhibitory effects of Na

Indexed as

Alkaline PhosphataseOptical ImagingAptamers, NucleotideBiosensing TechniquesDNA, Single-StrandedFluorescenceFluorescent DyesHepatocytesHumansLimit of DetectionSpectrometry, FluorescenceAlkaline PhosphataseAptamers, NucleotideDNA, Single-StrandedFluorescent DyesAlkaline phosphataseExo IFluorescenceoxSWCNHs

Identifiers

PMID40653569

What Socratic holds

Textmetadata
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 Socratic graph.