Evidence map›Paper›PMID 30544505›Full record

ArticleMicromachines2018

High-Precision and Low-Cost Wireless 16-Channel Measurement System for Malachite Green Detection.

Tong Shen, Tong Zhou, Ying Wan, Yan Su

Erratum issuedAbstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

4 authors.

Tong ShenSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. shentong@njust.edu.cn.
Tong ZhouSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. zhoutong@njust.edu.cn.ORCID 0000-0003-4061-2549
Ying WanSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. yingwan@njust.edu.cn.
Yan SuSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. yansu@njust.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 309181A8805National Natural Science Foundation of China 61805121Scientific Research Project Natural Science Foundation of Jiangsu Province BK20170850Scientific Research Project Natural Science Foundation of Jiangsu Province BK20170853
6 · The paper itself

Abstract

Focusing on the issue of the malachite green traditional test methods such as large volume, high cost and high complex, this paper proposed a novel multi-channel electrochemical malachite green detection system. Specific recognition properties of malachite green DNA adapter is employed to realize accurate sensing of concentration of malachite green, which can achieve precise detection of malachite green concentration with low noise and high precision. The maximum measurement capability of multi-channel acquisition system is 16 samples in a batch. According to the experimental results, malachite green could be detected quantitatively in the range from 10

Indexed as

DNA biosensorelectrochemical instrumentmalachite green detection

Identifiers

PMID30544505
PMCPMC6316330

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.