Evidence map›Paper›PMID 39945961›Full record

ArticleMikrochimica acta2025

Digital microfluidic-based fluorescence methods for the automated determination of copper ions in wine.

Zhihui Liu, Si Wang, Kemin Wang, Jiajun Tong, Zijun Zhao, Xiaofeng Liu, Yiwei Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2025. 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
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.

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

7 authors.

Zhihui LiuHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China.ORCID http://orcid.org/0009-0004-0057-3666
Si WangHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China.ORCID http://orcid.org/0009-0002-6293-1858
Kemin WangHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China.ORCID http://orcid.org/0009-0006-0279-1549
Jiajun TongHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China.ORCID http://orcid.org/0009-0006-9282-0701
Zijun ZhaoHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China.ORCID http://orcid.org/0009-0006-1560-217X
Xiaofeng LiuHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China. lxf0301@xtu.edu.cn.ORCID http://orcid.org/0000-0002-0447-5658
Yiwei LiuHunan Provincial Key Laboratory of Smart Carbon Materials and Advanced Sensing, Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, Hunan, China. yiweiliu@xtu.edu.cn.ORCID http://orcid.org/0000-0001-7416-4452

Funding

the National Key Research &Development Program Grant No. 2016YFA0201901the National Natural Science Foundation of China 62404193, 22204136 and U22A20617the Natural Science Foundation of Hunan Province Grant No. 2024JJ6425the Scientific Research Fund of Hunan Provincial Education Department 23B0140
6 · The paper itself

Abstract

A novel approach is introduced by combining digital microfluidic technology with click chemistry for automated sample handling on a chip, enabling accurate detection of copper ions in wine. By developing a copper-catalyzed click chemistry reaction using azide coumarin and hexanol, we have introduced a method that offers advantages such as simplicity, minimal by-products, and enhanced resistance to interference compared with other fluorescent methods. Furthermore, optimization of the digital microfluidic chip parameters enabled processing of sub-microliter samples with a droplet coefficient of variation of 0.6%, outperforming the ~ 4.0% error typically seen with conventional pipetting methods. This method processes samples as small as 870 nL, providing cost efficiency, automated detection, reduced errors, and a detection limit of 15.4 μM (0.98 mg/L), meeting testing requirements. Our approach effectively detects copper ion contamination in wine with a recovery of 98.7 to 106%, offering robust technical support for food safety regulations.

Indexed as

Automated inspectionClick chemistryCopper ions detectionDigital microfluidic chip

Identifiers

PMID39945961

What OpenQuestion holds

Textmetadata
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.