Evidence map›Paper›PMID 35396610›Full record

ArticleAnalytical and bioanalytical chemistry2022

Hybrid 3D printed integrated microdevice for the determination of copper ions in human body fluids.

Shuai Jiang, Jie Zhao, Shifan Zhao, Huizhen Deng, Rui Zhu, Yujian Bai, Guofeng Cui

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shuai JiangSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640, People's Republic of China.
Jie ZhaoSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640, People's Republic of China. zhaoj77@scut.edu.cn.
Shifan ZhaoSchool of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Huizhen DengSchool of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640, People's Republic of China.
Rui ZhuSchool of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Yujian BaiSchool of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Guofeng CuiSchool of Chemistry, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.

Funding

National Natural Science Foundation of China 51271205National Natural Science Foundation of China 51571093Scientific Technology Project of Guangzhou City 202103000003"Tian'e Plan" by Huizhou city 20170220011822281"Tian'e Plan" by Huizhou city 20170220085037390
6 · The paper itself

Abstract

On-site screening of copper ions in body fluid plays a critical role in monitoring human health, especially in heavy pollution areas. In this study, we have developed a hybrid 3D printed integrated microdevice for the determination of copper ions in human body fluids. A fixed and low volume of sample was detected by using the integrated microdevice without any preprocessing. The hybrid channel enables sample uniform mixing and quantitative dilution with buffer solution by inducing the "horseshoe vortex" phenomenon. The electrolytic microcell based on the flow detection system shows a more effective copper ion reaction ratio and, as a result, a better sensitivity. The simulation of the finite element method (FEM) determined the relevant optimum parameters of the hybrid channel and the microcell. The design, fabrication, and detection procedure of the integrated microdevice are here illustrated. The microdevice presented superior detection properties towards copper ions. The calibration curves covered two linear ranges varying from 20 to 100 ppb and 100 to 400 ppb, respectively. The limit of detection was estimated to be 15 ppb (S/N = 3). The relative standard deviation of the peak current measurements was 2.26%. The designed microdevice was further applied to detect copper ions in practical samples (calf serum sample and synthetic human urine sample) using a standard addition method, and the average recovery was found to be 95-104%. The performance of copper ion detection with the integrated microdevice was consistent with that of the inductively coupled plasma mass spectrometry (ICP-MS) in the same practical samples, demonstrating significant practicality in the test of body fluidics. The portable integrated microdevice is an excellent choice for on-site detection and has a promising prospect in the point-of-care testing (POCT) applications.

Indexed as

Body FluidsCopperHumansIonsLimit of DetectionPrinting, Three-DimensionalCopperIonsCOMSOLCopper ionsFlow detectionHybrid channelIntegrated microdevice

Identifiers

PMID35396610
PMCPMC8993678

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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.