Evidence map›Paper›PMID 40733246›Full record

ArticleMolecules (Basel, Switzerland)2025

A Sensitive and Accurate Electrochemical Sensor Based on Biomass-Derived Porous Carbon for the Detection of Ascorbic Acid.

Yashuang Hei, Lisi Ba, Xingwei Shi, Huanhuan Guo, Sisi Wen, Bingxiao Zheng, Wenjie Gu, Zhiju Zhao

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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

8 authors.

Yashuang HeiFunctional Polymer Materials Research and Development and Engineering Application Technology Innovation Center of Hebei Province, Xingtai University, Xingtai 054001, China.ORCID 0009-0003-2059-3851
Lisi BaFunctional Polymer Materials Research and Development and Engineering Application Technology Innovation Center of Hebei Province, Xingtai University, Xingtai 054001, China.
Xingwei ShiXingtai Key Laboratory of Biomimetic and Catalytic Materials, Xingtai 050041, China.
Huanhuan GuoFunctional Polymer Materials Research and Development and Engineering Application Technology Innovation Center of Hebei Province, Xingtai University, Xingtai 054001, China.
Sisi WenFunctional Polymer Materials Research and Development and Engineering Application Technology Innovation Center of Hebei Province, Xingtai University, Xingtai 054001, China.
Bingxiao ZhengFunctional Polymer Materials Research and Development and Engineering Application Technology Innovation Center of Hebei Province, Xingtai University, Xingtai 054001, China.
Wenjie GuCollege of Chemical Engineering and Biotechnology, Xingtai University, Xingtai 054001, China.
Zhiju ZhaoFunctional Polymer Materials Research and Development and Engineering Application Technology Innovation Center of Hebei Province, Xingtai University, Xingtai 054001, China.

Funding

Innovation Talent Special Project of Xingtai Science and Technology Bureau 2022zz109
6 · The paper itself

Abstract

Ascorbic acid (AA) is a vital biomarker for human metabolic processes, and many diseases are strongly linked to aberrant variations in its content. It is crucial to detect the levels of AA with sensitivity, speed, and accuracy. In this work, three-dimensional honeycomb-like porous carbons derived from discarded walnut (green) husks (DWGH-HCPCs) were synthesized using a process involving hydrothermal treatment, freeze-drying, and carbonization. The DWGH-HCPCs, with a high specific surface area of 419.72 m

Indexed as

Ascorbic AcidBiomassBiosensing TechniquesCarbonElectrochemical TechniquesElectrodesHumansJuglansLimit of DetectionPorosityAscorbic AcidCarbonascorbic acidbiomasselectrochemical sensorporous carbon

Identifiers

PMID40733246
PMCPMC12298935

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.