Evidence map›Paper›PMID 35790752›Full record

ArticleNature communications2022

Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy.

Zhihao Ren, Zixuan Zhang, Jingxuan Wei, Bowei Dong, Chengkuo Lee

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Strategies for Multiplexing Plasmonic Biosensing.Sensors (Basel, Switzerland) · 2026
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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

5 authors.

Zhihao Ren *Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID 0000-0002-2520-0784
Zixuan Zhang *Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Jingxuan WeiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID 0000-0003-0295-3764
Bowei DongDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID 0000-0002-4122-0953
Chengkuo LeeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore. elelc@nus.edu.sg.ORCID 0000-0002-8886-3649

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infrared (IR) plasmonic nanoantennas (PNAs) are powerful tools to identify molecules by the IR fingerprint absorption from plasmon-molecules interaction. However, the sensitivity and bandwidth of PNAs are limited by the small overlap between molecules and sensing hotspots and the sharp plasmonic resonance peaks. In addition to intuitive methods like enhancement of electric field of PNAs and enrichment of molecules on PNAs surfaces, we propose a loss engineering method to optimize damping rate by reducing radiative loss using hook nanoantennas (HNAs). Furthermore, with the spectral multiplexing of the HNAs from gradient dimension, the wavelength-multiplexed HNAs (WMHNAs) serve as ultrasensitive vibrational probes in a continuous ultra-broadband region (wavelengths from 6 μm to 9 μm). Leveraging the multi-dimensional features captured by WMHNA, we develop a machine learning method to extract complementary physical and chemical information from molecules. The proof-of-concept demonstration of molecular recognition from mixed alcohols (methanol, ethanol, and isopropanol) shows 100% identification accuracy from the microfluidic integrated WMHNAs. Our work brings another degree of freedom to optimize PNAs towards small-volume, real-time, label-free molecular recognition from various species in low concentrations for chemical and biological diagnostics.

Indexed as

NanostructuresPeptide Nucleic AcidsMachine LearningSpectrophotometry, InfraredSurface Plasmon ResonancePeptide Nucleic Acids

Identifiers

PMID35790752
PMCPMC9256719

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.