Evidence map›Paper›PMID 32476039›Full record

ArticleMikrochimica acta2020

Colorimetric determination of cysteine by a paper-based assay system using aspartic acid modified gold nanoparticles.

Chunye Liu, Yanqing Miao, Xuejiao Zhang, Shuli Zhang, Xiaojun Zhao

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 35 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Chunye LiuSchool of Pharmacy, Xi' an Medical University, Xi'an, 710021, China. doris8976@163.com.ORCID 0000-0002-6610-7498
Yanqing MiaoSchool of Pharmacy, Xi' an Medical University, Xi'an, 710021, China.
Xuejiao ZhangSchool of Pharmacy, Xi' an Medical University, Xi'an, 710021, China.
Shuli ZhangDepartment of Medical Technology, Xi' an Medical University, Xi'an, 710021, China.
Xiaojun ZhaoSchool of Pharmacy, Xi' an Medical University, Xi'an, 710021, China.
Xi'an Medical University · CN

Funding

National Natural Science Foundation of China 81202492Shaanxi Provincial Department of Water Resources 19JC035
6 · The paper itself

Abstract

A method is described for cysteine (Cys) determination on paper-based analytical devices using aspartic acid modified gold nanoparticles (Asp-AuNPs). The Asp-AuNPs were characterized by their size, zeta potential, and UV-visible absorption spectrum. After the addition of Cys, it will interact with Asp-AuNPs selectively and leads to the aggregation of Asp-AuNPs. A color change from red to blue can be observed on the paper-based analytical devices. The results were recorded using a cell phone and subsequently analyzed using the Photoshop software. The ratiometric color intensity at red channel and blue channel (Red/Blue) increased linearly in the range 99.9-998.7 μM for Cys (R = 0.9984), and the limit of detection was 1.0 μM. The effects of assay conditions have been investigated and are discussed. The Cys concentration was determined as (0.27 ± 0.02 mM) in human plasma, and the recovery was from 99.2 to 101.1%. Graphical abstract Schematic representation of the paper-based assay system using aspartic acid modified gold nanoparticles (Asp-AuNPs). The ratiometric color intensity method was used for the cysteine (Cys) determination.

Indexed as

PaperAspartic AcidCarbohydrate SequenceCell PhoneColorimetryCysteineGoldHumansLimit of DetectionMetal NanoparticlesSoftwareAspartic AcidCysteineGoldAspartic acidColorimetric assayCysteineGold nanoparticlesMicrofluidic paper-based analytical devicesRatiometric color intensity

Identifiers

PMID32476039
OpenAlexW3030754327

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.