Evidence map›Paper›PMID 35683757›Full record

ArticleNanomaterials (Basel, Switzerland)2022

High-Throughput Color Imaging Hg

He Zhu, Weizhen Xu, Min Shan, Tao Yang, Qinlu Lin, Kexue Yu, Yanxia Xing, Yang Yu

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. 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, top 94% of its field
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, 0 citations in OpenAlex.

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 at 2 institutions in 2 countries.

He ZhuNational Engineering Laboratory for Rice and By-Products Further Processing, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.ORCID 0000-0002-3736-4145
Weizhen XuNational Engineering Laboratory for Rice and By-Products Further Processing, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.
Min ShanTechnology Center of Gaoqing Black Cattle Product Processing and Quality Improvement, College of Food Science and Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China.
Tao YangNational Engineering Laboratory for Rice and By-Products Further Processing, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.
Qinlu LinNational Engineering Laboratory for Rice and By-Products Further Processing, College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China.
Kexue YuTechnology Center of Gaoqing Black Cattle Product Processing and Quality Improvement, College of Food Science and Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China.
Yanxia XingTechnology Center of Gaoqing Black Cattle Product Processing and Quality Improvement, College of Food Science and Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China.ORCID 0000-0002-2335-8246
Yang YuTechnology Center of Gaoqing Black Cattle Product Processing and Quality Improvement, College of Food Science and Engineering, Shandong Agriculture and Engineering University, Jinan 250100, China.
Central South University of Forestry and Technology · CNShangdong Agriculture and Engineering University · CN

Funding

Key R & D plan of Shandong Province 2021SFGC1202Shandong educational science planning cooperation 2021QYB039Zibo government 2021SNPT0007
6 · The paper itself

Abstract

Mercury, as one type of toxic heavy metal, represents a great threat to environmental and biological metabolic systems. Thus, reliable and sensitive quantitative detection of mercury levels is particularly meaningful for environmental protection and human health. We proposed a high-throughput single-particle color imaging strategy under dark-field microscopy (DFM) for mercury ions (Hg

Indexed as

Au nanoparticlesHg2+mercurysensor

Identifiers

PMID35683757
PMCPMC9182504
OpenAlexW4281919732

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.