Compact Chemical Identifier Based on Plasmonic Metasurface Integrated with Microbolometer Array

Meng, Jiajun; Weston, Luke; Balendhran, Sivacarendran; Wen, Dandan; Cadusch, Jasper J.; Unnithan, Ranjith Rajasekharan; Crozier, Kenneth B.

doi:10.1002/lpor.202100436

Cited by 19 publications

(13 citation statements)

References 55 publications

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“…However, this method is not necessarily optimal in terms of the accuracy of chemical identification and the time required to obtain an answer. [ 40 ] Therefore, we use machine‐learning algorithms to solve the problem of molecular recognition. First, the spectra of the OC‐PNAs coated with different molecules were measured, each molecule containing 50 absorption spectra (Figure 5a).…”

Section: Resultsmentioning

confidence: 99%

Ultrasensitive Molecular Fingerprint Retrieval Using Strongly Detuned Overcoupled Plasmonic Nanoantennas

Zhou

Chen

et al. 2023

Advanced Materials

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Tailoring light‐matter interactions via plasmonic nanoantennas (PNAs) has emerged as a breakthrough technology for spectroscopic applications. The detuning between molecular vibrations and plasmonic resonances, as a fundamental and inevitable optical phenomenon in light‐matter interactions, reduces the interaction efficiency, resulting in a weak molecule sensing signal at the strong detuning state. Here, it is demonstrated that the low interaction efficiency from detuning can be tackled by overcoupled PNAs (OC‐PNAs) with a high ratio of the radiative to intrinsic loss rates, which can be used for ultrasensitive spectroscopy at strong plasmonic‐molecular detuning. In OC‐PNAs, the ultrasensitive molecule signals are achieved within a wavelength detuning range of 248 cm−1, which is 173 cm−1 wider than previous works. Meanwhile, the OC‐PNAs are immune to the distortion of molecular signals and maintain a lineshape consistent with the molecular signature fingerprint. This strategy allows a single device to enhance and capture the full and complex fingerprint vibrations in the mid‐infrared range. In the proof‐of‐concept demonstration, 13 kinds of molecules with some vibration fingerprints strongly detuning by the OC‐PNAs are identified with 100% accuracy with the assistance of machine‐learning algorithms. This work gains new insights into detuning‐state nanophotonics for potential applications including spectroscopy and sensors.

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Section: Resultsmentioning

confidence: 99%

Ultrasensitive Molecular Fingerprint Retrieval Using Strongly Detuned Overcoupled Plasmonic Nanoantennas

Zhou

Chen

et al. 2023

Advanced Materials

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“…Our recent microspectrometer platform [1] comprises a nanophotonic filter chip integrated with a miniature thermal camera (Fig. 1a).…”

Section: Resultsmentioning

confidence: 99%

“…in consumer personal electronics. In this presentation, we will describe our recent work [1] on a compact microspectrometer platform for chemical identification. If time permits, we may describe a selection from our related work on other topics in nanophotonics from 2021-2022, e.g.…”

Section: Introductionmentioning

confidence: 99%

Nanophotonics-enabled mid-infrared microspectrometers for chemical identification and related topics

Crozier

2023

Smart Photonic and Optoelectronic Integrated Circuits 2023

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The identification of chemicals from their mid-infrared spectra has a wide range of applications, such as forensics and environmental monitoring. This is generally done using laboratory benchtop tools, such as the Fourier transform infrared spectrometer. Although such systems offer high performance, alternative platforms offering reduced size, weight, and cost can enable a host of new applications. In this presentation, we will describe our recent work on a compact microspectrometer platform for chemical identification.

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“…In addition, certain applications can be combined with deep learning algorithms. [44,45] Such instruments could be inexpensively deployed in large quantities to accelerate the automation in material and industrial applications.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Sparsity for Ultrafast Material Identification

Qu,

Zhou,

Xiang

et al. 2024

Laser & Photonics Reviews

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Mid‐infrared spectroscopy is often used to identify material. Thousands of spectral points are measured in a time‐consuming process using expensive table‐top instrument. However, material identification is a sparse problem, which in theory can be solved with just a few measurements. Here the sparsity of the problem is exploited to develop an ultra‐fast, portable, and inexpensive method to identify materials. In a single‐shot, a mid‐infrared camera can identify materials based on their spectroscopic signatures. This method does not require prior calibration, making it robust and versatile in handling a broad range of materials.

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Compact Chemical Identifier Based on Plasmonic Metasurface Integrated with Microbolometer Array

Cited by 19 publications

References 55 publications

Ultrasensitive Molecular Fingerprint Retrieval Using Strongly Detuned Overcoupled Plasmonic Nanoantennas

Ultrasensitive Molecular Fingerprint Retrieval Using Strongly Detuned Overcoupled Plasmonic Nanoantennas

Nanophotonics-enabled mid-infrared microspectrometers for chemical identification and related topics

Sparsity for Ultrafast Material Identification

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