Evidence map›Paper›PMID 41060372›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2025

Biomineralized gold nanoparticle-based colorimetric sensing platform for ascorbic acid detection.

Zhuqing Wang, Junyuan Zhang, Yuetong Ma, Mengran Zhang, Huixue Zhang, Bing Yang, Qiaorong Tang

Abstract read
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Article in Analytical sciences : the international journal of the Japan Society for Analytical 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. Beyond ensemble averages: single-entity approaches for complex systems.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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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.

Zhuqing WangShandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China.
Junyuan ZhangShandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China.
Yuetong MaCollege of Life Science, Dezhou University, Dezhou, 253023, China.
Mengran ZhangCollege of Life Science, Dezhou University, Dezhou, 253023, China.
Huixue ZhangCollege of Life Science, Dezhou University, Dezhou, 253023, China.
Bing YangCollege of Chemistry and Chemical Engineering, Dezhou University, Dezhou, 253023, China.
Qiaorong TangShandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, China. tangqr98@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ascorbic acid (AA), a critical regulator of redox homeostasis, plays a vital role in disease prevention. Thus, the development of a rapid and precise detection method is urgently needed. In this work, a colorimetric sensing platform based on bioinspired mineralization-synthesized gold nanoparticles (AuNPs) was proposed for the visual and rapid detection of AA. The as-prepared AuNPs exhibited uniform morphology and excellent oxidase-like activity, efficiently catalyzing 3,3',5,5'-tetramethylbenzidine (TMB) oxidation to produce a characteristic 650 nm absorption peak. However, in the presence of AA, TMB oxidation was significantly inhibited due to the reducing property of AA. The color change was visually detectable within 5 min. The absorbance at 650 nm linearly decreased with the AA concentration in the range of 1-60 μM (R

Indexed as

Ascorbic AcidColorimetryGoldMetal NanoparticlesBenzidinesLimit of DetectionOxidation-Reduction3,3',5,5'-tetramethylbenzidineAscorbic AcidBenzidinesGoldAscorbic acidBiomimetic mineralizationColorimetric assayGold nanoparticlesOxidase-like activity

Identifiers

PMID41060372

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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.