Evidence map›Paper›PMID 39891789›Full record

ArticleMikrochimica acta2025

High-loading Bi-MOF nanoparticles anchored on biomass waste-derived carbon for sensitive non-enzymic nitrite sensing.

Meng Xiang, Jing Wu, Le Li, Feipeng Ren, Renxing Dai, Feiyang Dai, Shuang Dong, Zhou Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 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

8 authors.

Meng XiangDepartment of Chemistry and Chemistry Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Jing WuDepartment of Chemistry and Chemistry Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Le LiDepartment of Chemistry and Chemistry Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Feipeng RenDepartment of Chemistry and Chemistry Engineering, Jiangsu University of Technology, Changzhou, 213001, China.
Renxing DaiJiangsu Ambassador Tongfeng Coatings Co., Ltd, Changzhou, 213012, China.
Feiyang DaiAmbassador Coatings (Anhui) Co., Ltd, Anqing, 246002, China.
Shuang DongDepartment of Chemistry Engineering and Material Science, Changzhou Institute of Technology, Changzhou, 213032, China. dongs@czu.cn.
Zhou YangDepartment of Chemistry and Chemistry Engineering, Jiangsu University of Technology, Changzhou, 213001, China. zhouyang@jsut.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel electrocatalyst based on loofah sponge-derived carbon-supported high-density Bi-MOF nanoparticles was designed and used for electrochemical nitrite detection. The use of conductive loofah sponge-derived carbon substrate to support Bi-MOF nanoparticles can not only accelerate electron transfer, thereby accelerating electrochemical reaction kinetics, but also effectively prevent the aggregation of MOF materials, promote the full exposure of MOF active sites, and improve electrochemical sensing performance. Benefitting from the synergy effect of conductive loofah sponge-derived carbon sustrate and highly loading Bi-MOF nanoparticles, the Bi-MOF-NPs/CLS electrode displayed high sensitivity of 190 µA cm

Indexed as

AmperometryBi-MOFBiomass waste–derived carbonElectrochemical sensorLoofah spongeNitrite detection

Identifiers

PMID39891789

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.