Evidence map›Paper›PMID 41681318›Full record

ArticleMaterials (Basel, Switzerland)2026

Fabrication of Highly Conductive Inkjet Printing Silver Nanoparticle Ink via a Synergistic Strategy Combining Centrifugal Classification and Dispersant Optimization.

Guo-Xiang Zhou, Yan Wang, Xing-Ping Zhou, Kuang Zhang, Zhi-Hua Yang, De-Chang Jia, Yu Zhou

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. 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.

Guo-Xiang ZhouDepartment of Microwave Engineering, Harbin Institute of Technology, Harbin 150001, China.
Yan WangChongqing Research Institute of HIT, Chongqing 401135, China.
Xing-Ping ZhouChongqing Research Institute of HIT, Chongqing 401135, China.
Kuang ZhangDepartment of Microwave Engineering, Harbin Institute of Technology, Harbin 150001, China.ORCID 0000-0002-5642-967X
Zhi-Hua YangChongqing Research Institute of HIT, Chongqing 401135, China.
De-Chang JiaChongqing Research Institute of HIT, Chongqing 401135, China.
Yu ZhouInstitute for Advanced Ceramics, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150080, China.

Funding

National Natural Science Foundation of China Nos.52302062
6 · The paper itself

Abstract

Inkjet printing technology shows significant potential for producing high-performance conductive circuits in printed electronics. However, conventional silver nanoparticle (Ag NP) inks often face challenges such as nozzle clogging, poor stability, and low conductivity after low-temperature sintering. While most existing studies focus solely on dispersant selection or individual process optimization, few have systematically explored the synergistic effects of particle size distribution, dispersion methods, and dispersant dosage. This study proposes a sequential optimization approach involving centrifugal classification to identify an optimal Ag NPs source and size distribution, followed by comparison and optimization of different dispersion methods. Furthermore, the effects of dispersant (a PEO-PPO-PEO triblock copolymer) concentration and application strategy (individual or combined use) on the rheological properties and conductivity of the ink were systematically investigated. The optimized Ag NP ink demonstrated excellent jetting stability with no nozzle clogging, exhibiting a surface tension of 19.60 mN/m and a viscosity of 6.83 mPa·s. After low-temperature sintering at 260 °C on glass or polyimide (PI) substrates, the printed patterns achieved a high electrical conductivity of 1.506 × 10

Indexed as

centrifugal classificationconductivitydispersion methodinkjet printingprinted electronicssilver nanoparticle inks

Identifiers

PMID41681318
PMCPMC12898684

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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.