Evidence map›Paper›PMID 42760343›Full record

ArticleAnalytical and bioanalytical chemistry2026

Electron-buffering effect of Ce

Jianjun Kang, JiangRui Guo, Fang Ke, Gengneng Lai, Zongcheng Shu, Xiuzhi Xu, Wei Li

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. 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.

Jianjun KangSchool of Pharmacy, Institute of Materia Medica, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, Fujian Medical University, Fuzhou, 350004, China.
JiangRui GuoDepartment of Hematology, Fujian Provincial Key Laboratory On Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fuzhou, P. R. of China.
Fang KeSchool of Pharmacy, Institute of Materia Medica, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, Fujian Medical University, Fuzhou, 350004, China.
Gengneng LaiSchool of Pharmacy, Institute of Materia Medica, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, Fujian Medical University, Fuzhou, 350004, China.
Zongcheng ShuSchool of Pharmacy, Institute of Materia Medica, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, Fujian Medical University, Fuzhou, 350004, China.
Xiuzhi XuSchool of Pharmacy, Institute of Materia Medica, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, Fujian Medical University, Fuzhou, 350004, China. xiuzhi_xu@fjmu.edu.cn.
Wei LiSchool of Pharmacy, Institute of Materia Medica, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, Fujian Medical University, Fuzhou, 350004, China. lwwl321@fjmu.edu.cn.

Funding

Fujian Provincial Key Laboratory of Hepatic Drug Research No. KFLX2024002Natural Science Foundation of Fujian Province Nos. 2025J01702Natural Science Foundation of Fujian Province Nos. 2025J01708
6 · The paper itself

Abstract

Accurate quantification of enzyme activity is essential for early metabolic disease diagnosis and point-of-care bioanalysis. Abnormal α-glucosidase (α-GAA) activity is closely related to metabolic disorders, making its sensitive detection increasingly important. However, most current assays rely on one-to-one signal transduction, where each enzymatic event produces only a single detectable signal, inherently limiting sensitivity and compromising reliable detection under complex physiological conditions. Here, we establish a hierarchical catalytic amplification strategy for ultrasensitive α-GAA detection by integrating enzymatic hydrolysis, glucose oxidase-mediated H

Indexed as

Cascade signal amplificationCe@CuNCColorimetric biosensingPortable detectionα-GAA

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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.