Evidence map›Paper›PMID 37952033›Full record

ArticleNature communications2023

Dynamic construction of refractive index-dependent vibrations using surface plasmon-phonon polaritons.

Hong Zhou, Zhihao Ren, Dongxiao Li, Cheng Xu, Xiaojing Mu, Chengkuo Lee

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Hong ZhouDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0002-3146-2238
Zhihao RenDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0002-2520-0784
Dongxiao LiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Cheng XuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0001-6253-1075
Xiaojing MuKey Laboratory of Optoelectronic Technology & Systems of Ministry of Education, International R&D Center of Micro-Nano Systems and New Materials Technology, Chongqing University, Chongqing, 400044, P. R. China. mxjacj@cqu.edu.cn.ORCID http://orcid.org/0000-0003-2024-2595
Chengkuo LeeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore. elelc@nus.edu.sg.ORCID http://orcid.org/0000-0002-8886-3649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the fundamental hurdles in infrared spectroscopy is the failure of molecular identification when their infrared vibrational fingerprints overlap. Refractive index (RI) is another intrinsic property of molecules associated with electronic polarizability, but with limited contribution to molecular identification in mixed environments currently. Here, we investigate the coupling mode of localized surface plasmon and surface phonon polaritons for vibrational de-overlapping. The coupling mode is sensitive to the molecular refractive index, attributed to the RI-induced vibrational variations of surface phonon polaritons (SPhP) within the Reststrahlen band, referred to as RI-dependent SPhP vibrations. The RI-dependent SPhP vibrations are linked to molecular RI features. According to the deep-learning-augmented demonstration of bond-breaking-bond-making dynamic profiling in biological reaction, we substantiate that the RI-dependent SPhP vibrations effectively disentangle overlapping vibrational modes, achieving a 92% identification accuracy even for the strongly overlapping vibrational modes in the reaction. Our findings offer insights into the realm of light-matter interaction and provide a valuable toolkit for biomedicine applications.

Identifiers

PMID37952033
PMCPMC10640644

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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.