Evidence map›Paper›PMID 42808609›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Cooperative Regulation of Defect-Mediated Molecular Recognition With Single-Walled Carbon Nanotubes.

Srestha Basu, Gili Bisker

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

2 authors.

Srestha BasuBiophysical Sciences Group, Saha Institute of Nuclear Physics, Kolkata, India.
Gili BiskerSchool of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.ORCID https://orcid.org/0000-0003-2592-7956

Funding

ERC NanoNonEq 101039127Israel Science Foundation 196/22Ministry of Science, Technology 1001818370Ministry of Science, Technology 1001944224
6 · The paper itself

Abstract

Defects are increasingly recognized as powerful modulators of the chemistry and photophysics of fluorescent single-walled carbon nanotubes (SWCNTs), enabling tunable optical responses toward exogenously introduced analytes. However, defect-mediated interactions arise not solely from defects, but from the interplay among multiple interconnected system variables, including defect type and density, analyte identity and size, corona composition and conformation, SWCNT chirality, and the surrounding environment. In this forward-looking perspective, we discuss how these variables collectively govern the fluorescence modulation and molecular recognition behavior of defect-engineered SWCNTs. We first summarize major strategies for defect introduction and recent advances in defect quantification. Subsequently, through case-by-case analyses, we examine how systematic variation of individual parameters reshapes analyte-SWCNT interactions and sensing outcomes. Specifically, we discuss systems exhibiting analyte-dependent fluorescence modulation, defect-enabled ratiometric sensing, analyte-size-dependent interactions, corona-dependent defect reactivity, and the cooperative behavior of multiple defect types within the same nanotube framework. Finally, we highlight key challenges associated with defect heterogeneity, predictability, and controllable molecular recognition, while outlining emerging opportunities involving programmable nanosensing, artificial intelligence-assisted design, and multifunctional imaging platforms. Overall, this perspective emphasizes that defect-mediated sensing in SWCNTs is fundamentally governed by the cooperative interplay of multiple system variables.

Identifiers

PMID42808609
PMCPMC13676830

What OpenQuestion holds

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Registered trials

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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.