Multivariate Analysis of Molecular Spectroscopy Data for Covid-19 Detection

Liang, Qizhong; Ye, Jun; Nesbitt, David J.; Parker, Roy; Leinwand, Leslie A.; Bjorkman, Kristen K.; Toscano, Jutta; Chan, Ya-Chu

doi:10.15278/isms.2022.mk04

Cited by 3 publications

(3 citation statements)

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“…This state-of-the-art technique is capable of generating a large amount of molecular absorption features in real-time, getting down to part-per-trillion volume sensitivity. 190 The use of molecular absorption features can help to improve the specificity of the WGM sensors.…”

Section: ■ Surface Functionalizationmentioning

confidence: 99%

From Whispering Gallery Mode Resonators to Biochemical Sensors

et al. 2023

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Optical biosensors are frontrunners for the rapid and real-time detection of analytes, particularly for low concentrations. Among them, whispering gallery mode (WGM) resonators have recently attracted a growing focus due to their robust optomechanical features and high sensitivity, measuring down to single binding events in small volumes. In this review, we provide a broad overview of WGM sensors along with critical advice and additional “tips and tricks” to make them more accessible to both biochemical and optical communities. Their structures, fabrication methods, materials, and surface functionalization chemistries are discussed. We propose this reflection under a pedagogical approach to describe and explain these biochemical sensors with a particular focus on the most recent achievements in the field. In addition to highlighting the advantages of WGM sensors, we also discuss and suggest strategies to overcome their current limitations, leaving room for further development as practical tools in various applications. We aim to provide new insights and combine different knowledge and perspectives to advance the development of the next generation of WGM biosensors. With their unique advantages and compatibility with different sensing modalities, these biosensors have the potential to become major game changers for biomedical and environmental monitoring, among many other relevant target applications.

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Section: ■ Surface Functionalizationmentioning

confidence: 99%

From Whispering Gallery Mode Resonators to Biochemical Sensors

et al. 2023

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“…Optical frequency combs are powerful tools for rapid gas sensing. In particular, frequency comb spectroscopy in the mid-infrared (MIR, 3-5 µm) region of the atmospheric window has made significant progress in various applications, such as greenhouse gas monitoring, atmospheric monitoring, green agriculture and breath analysis [1][2][3][4] . Generally, these MIR frequency combs can be obtained via χ (2) and χ (3) nonlinear processes in lithium niobate (LN) [5][6][7][8][9] , which is a widely used optical material that can provide a wide transparency window, high nonlinear coefficient and electro-optical effect for integrated chip-based laser devices [10] .…”

Section: Introductionmentioning

confidence: 99%

Compact mid-infrared dual-comb spectrometer over 3–4 μm via intra-pulse difference frequency generation in LiNbO₃ waveguides

Zhou,

Lou,

Deng

et al. 2024

High Pow Laser Sci Eng

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The mid-infrared optical frequency comb is a powerful tool for gas sensing. In this study, we demonstrate a simple midinfrared dual-comb spectrometer covering 3-4 µm in LiNbO 3 waveguides. Based on a low-power fiber laser system, the mid-infrared comb is achieved via intra-pulse difference frequency generation in the LiNbO 3 waveguide. We construct pre-chirp management before supercontinuum generation to control spatiotemporal alignment for pump and signal pulses. The supercontinuum is directly coupled into a chirped periodically poled LiNbO 3 waveguide for the 3-4 µm idler generation. A mid-infrared dual-comb spectrometer based on this approach provides a 100 MHz resolution over 25 THz coverage. To evaluate the applicability for spectroscopy, we measure the methane spectrum using the dualcomb spectrometer. The measured results are consistent with the HITRAN database, in which the root mean square of the residual is 3.2%. This proposed method is expected to develop integrated and robust mid-infrared dual-comb spectrometers on chip for sensing.

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“…[ 2 ] Due to the large absorption cross sections in this spectral range, a potentially high detection sensitivity in direct absorption spectroscopy measurements can be reached, allowing the technology to progress further into trace gas detection. Various spectroscopic applications of optical frequency combs have been developed such as cavity enhanced Fourier transform spectroscopy, [ 3 ] MIR up‐conversion spectroscopy, [ 4 ] MIR virtually imaged phase array spectroscopy, [ 5 ] and dual comb spectroscopy (DCS), [ 6 ] which is based on superimposing two mutually coherent frequency combs. The DCS technique allowing fast measurements is especially well suited for monitoring of transient chemical phenomena.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Gas Mixtures with Broadband Dual Frequency Comb Spectroscopy and Unsupervised Learning Neural Network

Tian,

Kolomenskii,

Schuessler

et al. 2023

Advanced Intelligent Systems

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Broadband mid‐infrared spectroscopy not only offers supreme sensitivity for the massively parallel detection of trace gases but also presents many challenges. Herein, a new platform combining the advantages of a mid‐infrared dual‐comb spectrometer based on two difference‐frequency generation combs pumped by femtosecond Er‐doped fiber comb oscillators and an unsupervised deep learning neural network consisting of information extraction and information mapping blocks is presented. The scarce data problem, the uncertainties of apparatus, and manual operations intrinsic to multicomponent gas mixture analysis are overcome by coupling an unsupervised leaning approach with a model‐agnostic, physics‐informed data augmentation strategy using simulated data from spectral databases. The system provides reliable simultaneous identification of gas species, concentration retrieval, as well as ambient pressure prediction and eliminates the negative impacts on the measurement, such as model error, baseline fluctuation, and unknown absorbers. Parallel optical detection of 31 different mixtures of 5 gas species over a 2900–3100 cm−1 spectral range with a sub part‐per‐billion sensitivity is demonstrated showing the potential in various applications such as atmospheric monitoring, diagnostics with breath biomarkers, and capturing rapid chemical reaction kinetics.

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Multivariate Analysis of Molecular Spectroscopy Data for Covid-19 Detection

Cited by 3 publications

References 0 publications

From Whispering Gallery Mode Resonators to Biochemical Sensors

From Whispering Gallery Mode Resonators to Biochemical Sensors

Compact mid-infrared dual-comb spectrometer over 3–4 μm via intra-pulse difference frequency generation in LiNbO₃ waveguides

Analysis of Gas Mixtures with Broadband Dual Frequency Comb Spectroscopy and Unsupervised Learning Neural Network

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Multivariate Analysis of Molecular Spectroscopy Data for Covid-19 Detection

Cited by 3 publications

References 0 publications

From Whispering Gallery Mode Resonators to Biochemical Sensors

From Whispering Gallery Mode Resonators to Biochemical Sensors

Compact mid-infrared dual-comb spectrometer over 3–4 μm via intra-pulse difference frequency generation in LiNbO3 waveguides

Analysis of Gas Mixtures with Broadband Dual Frequency Comb Spectroscopy and Unsupervised Learning Neural Network

Contact Info

Product

Resources

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Compact mid-infrared dual-comb spectrometer over 3–4 μm via intra-pulse difference frequency generation in LiNbO₃ waveguides