Evidence map›Paper›PMID 41663682›Full record

ReviewAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2026

Beyond ensemble averages: single-entity approaches for complex systems.

Takahito Ohshiro, Yuki Komoto, Masateru Taniguchi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 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

3 authors.

Takahito OhshiroSanken, The University of Osaka, Osaka, Japan. toshiro@sanken.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-8205-8438
Yuki KomotoSanken, The University of Osaka, Osaka, Japan.
Masateru TaniguchiSanken, The University of Osaka, Osaka, Japan.

Funding

Japan Science and Technology Agency JPMJKP23H3Japan Society for the Promotion of Science London 23K21064Japan Society for the Promotion of Science London 24K08201Japan Society for the Promotion of Science London 24K10680Japan Society for the Promotion of Science London 25H01060
6 · The paper itself

Abstract

Analytical chemistry is undergoing a paradigm shift from measuring ensemble-averaged properties to directly probing the individuality, heterogeneity, and fluctuations of molecules and particles. Single-Entity analytical chemistry addresses this need by resolving structure, dynamics, and reactions at the level of single molecules or single particles using techniques such as nanopores, nanogap electrodes, surface-enhanced Raman scattering, and nanofluidic devices. In this Mini-Review, we highlight recent developments in Single-Entity measurements with a particular focus on studies reported in Analytical Sciences during 2024-2025, while also placing them in the context of global advances. We first discuss the conceptual significance of Single-Entity approaches as a framework for accessing "chemistry of individuality." We then summarize emerging detection technologies and nanodevice platforms that provide nanoscale spatiotemporal resolution, and outline how machine learning (ML) and artificial intelligence (AI) enable high-dimensional signal interpretation and robust extraction of rare events. Finally, we discuss future directions, including multimodal Single-Entity platforms and statistical schemes that connect event-level fluctuations to bulk properties, positioning Single-Entity analytical chemistry as a next-generation foundation for complex systems analysis.

Indexed as

And artificial intelligence (AI)Machine learning (ML)NanodevicesSingle-Entity analysisSingle-molecule detection

Identifiers

What Socratic 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 Socratic graph.