Evidence map›Paper›PMID 40255607›Full record

ArticleACS measurement science au2025

Novel Separation Media with Metal Oxide Nanostructures for Capillary Electrochromatography.

Katsuya Nakano, Ryoma Kamei, Eisuke Kanao, Takuro Hosomi, Sayaka Konishi Yamada, Yasushi Ishihama, Takeshi Yanagida, Takuya Kubo

Abstract read
In one paragraph

Article in ACS measurement science au, 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

8 authors.

Katsuya NakanoGraduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan.
Ryoma KameiSeinan Indusutries, Co. LTD, Kitagagaya 4-3-24, Suminoe-ku, Osaka 559-0011, Japan.
Eisuke KanaoGraduate School of Pharmaceutical Sciences, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.ORCID https://orcid.org/0000-0001-7268-1501
Takuro HosomiDepartment of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8654, Japan.ORCID https://orcid.org/0000-0002-5649-6696
Sayaka Konishi YamadaGraduate School of Life and Environmental Science, Kyoto Prefectural University, 1-5 Shimogamo Hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan.
Yasushi IshihamaGraduate School of Pharmaceutical Sciences, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.ORCID https://orcid.org/0000-0001-7714-203X
Takeshi YanagidaDepartment of Applied Chemistry, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8654, Japan.ORCID https://orcid.org/0000-0003-4837-5701
Takuya KuboGraduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan.ORCID https://orcid.org/0000-0002-9274-3295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zinc oxide nanowires (ZnO nanowire, ZnO NWs) are nanostructures that have drawn attention as separation media for efficient biomolecules because of high biological compatibility and low cost. Development of the capillary column (ZnO column) using a ZnO NW to an inner wall has been reported, although there are only a few studies about molecular recognition of a ZnO NW regardless of numerous studies reporting ZnO NWs. In our previous studies, we conducted fundamental research to elucidate molecular recognition of ZnO NW and develop a novel liquid phase separation field. Consequently, we achieved baseline separation of mixed adenosine phosphate analytes using a phosphate buffer in the mobile phase. In this study, to improve the low resistance of ZnO NW toward a solvent, we covered a surface of ZnO NW with titanium oxide (TiO

Identifiers

PMID40255607
PMCPMC12006950

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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.