Evidence map›Paper›PMID 42026227›Full record

ArticleCommunications engineering2026

On-chip trace detection of Cd

Yiming Yu, Wei Cai, Wei Fu, Tao Deng, Chenyu Ma, Yifan Wang, Xi Zhang, Chenhong Cui, Xu Yao, Tingyi Zhang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Detection of CdRSC advances · 2026
    Article
  2. On-chip trace detection of CdCommunications engineering · 2026
    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

15 authors.

Yiming YuDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Wei CaiAdvanced Institute for Ocean Research, Southern University of Science and Technology, Shenzhen, China. caiw@sustech.edu.cn.ORCID http://orcid.org/0009-0001-2852-7598
Wei FuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Tao DengSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Chenyu MaSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Yifan WangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Xi ZhangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China.
Chenhong CuiDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Xu YaoDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Tingyi ZhangDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Shangqi DiaoDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Dan LiDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Songqing LinDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Yuan GaoSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China. gaoy@sustech.edu.cn.ORCID http://orcid.org/0000-0001-8565-1790
Yi LiSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, China. liy37@sustech.edu.cn.ORCID http://orcid.org/0000-0002-6134-3117

Funding

Guangdong Science and Technology Department (Science and Technology Department, Guangdong Province) 2021QN02H436Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFC3104700National Natural Science Foundation of China (National Science Foundation of China) 62171211Shenzhen Science and Technology Innovation Commission JCYJ20220814170440001, JCYJ20220818100218039, JCYJ20220530113013030 and JCYJ20230807092459028
6 · The paper itself

Abstract

Electrochemical techniques are commonly employed for heavy metal detection. However, due to parasitic capacitance and noise issues arising from their structural design, conventional workstations face limitations in detection performance and system scalability when used for trace analysis in complex environments. To address these limitations, here we developed a custom-designed, low-noise, multi-channel complementary metal-oxide-semiconductor transimpedance amplifier integrated circuit with vertically integrated on-chip electrodes. This system achieves a low noise level of 273.9 fA

Identifiers

PMID42026227
PMCPMC13314973

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.