Evidence map›Paper›PMID 40047454›Full record

ArticleJournal of the American Chemical Society2025

Direct Imaging of Chirality Transfer Induced by Glycosidic Bond Stereochemistry in Carbohydrate Self-Assemblies.

Shuning Cai, Joakim S Jestilä, Peter Liljeroth, Adam S Foster

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Automating Model Building for SPM Images of Biomolecules Using MISO.Journal of chemical information and modeling · 2026
    Article
  2. Article
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

4 authors.

Shuning CaiDepartment of Applied Physics, Aalto University, Espoo 00076, Finland.
Joakim S JestiläDepartment of Applied Physics, Aalto University, Espoo 00076, Finland.ORCID 0000-0002-7233-2093
Peter LiljerothDepartment of Applied Physics, Aalto University, Espoo 00076, Finland.ORCID 0000-0003-1253-8097
Adam S FosterDepartment of Applied Physics, Aalto University, Espoo 00076, Finland.ORCID 0000-0001-5371-5905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbohydrates, essential biological building blocks, exhibit functional mechanisms tied to their intricate stereochemistry. Subtle stereochemical differences, such as those between the anomers maltose and cellobiose, lead to distinct properties due to their differing glycosidic bonds; the former is digestible by humans, while the latter is not. This underscores the importance of precise structural determination of individual carbohydrate molecules for deeper functional insights. However, their structural complexity and conformational flexibility, combined with the high spatial resolution needed, have hindered direct imaging of carbohydrate stereochemistry. Here, we employ noncontact atomic force microscopy integrated with a data-efficient, multifidelity structure search approach accelerated by machine learning integration to determine the precise 3D atomic coordinates of two carbohydrate anomers on Au(111). We observe that the stereochemistry of the glycosidic bond regulates on-surface chiral selection in carbohydrate self-assemblies. The reconstructed models, validated against experimental data, provide reliable atomic-scale structural evidence, uncovering the origin of the on-surface chirality from carbohydrate anomerism. Our study confirms that nc-AFM is a reliable technique for real-space discrimination of carbohydrate stereochemistry at the single-molecule level, providing a pathway for bottom-up investigations into the structure-property relationships of carbohydrates in biological research and materials science.

Identifiers

PMID40047454
PMCPMC11926875

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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.