Portable Low Frequency Raman Spectrometer Based on Fliter

Guan, Xinru; Meng, Jian; Yang, Fu; Yu, Yongai; Chen, Juan

doi:10.1109/ogc.2019.8925036

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Consequently, there arises a pressing need to develop miniaturized and chip‐based portable Raman spectrometers to cater to diverse scenarios and enable more practical and versatile usage. For example, Guan et al 17 designed a portable low‐wavenumber Raman spectrometer to realize the detection of raw pharmaceutical materials, and the instrument size is about 260 mm × 185 mm × 60 mm. Storey et al 18 presented an innovative approach using spontaneous Raman spectroscopy in bio‐fluids for disease marker quantification.…”

Section: Introductionmentioning

confidence: 99%

Generative adversarial networks‐based super‐resolution algorithm enables high signal‐to‐noise ratio spatial heterodyne Raman spectra

Hu,

Shen,

Chen

et al. 2023

J Raman Spectroscopy

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High‐resolution interference pattern images are vital for spatial heterodyne Raman spectroscopy to produce quality Raman spectra with a good signal‐to‐noise ratio. A sought‐after super‐resolution algorithm can enhance Raman interference pattern images, reducing reliance on expensive imaging sensors. This enables miniaturization and portability for point‐of‐care testing. This study proposes a generative adversarial network (GAN)‐based super‐resolution reconstruction algorithm explicitly designed for Raman interference patterns. Employing GAN adversarial training, the algorithm effectively reconstructs interference pattern images at higher resolution, improving Raman spectra signal‐to‐noise ratio. Considering Raman spectra analysis mainly focuses on characteristic peaks, a Raman characteristic peak‐focused network training scheme is used. For instance, acetaminophen is studied with two selected Raman characteristic peaks centered at 388 and 858 cm−1. These peaks are observed in Fourier transformed Raman spectra from corresponding low‐resolution interference pattern images obtained by down‐sampling high‐resolution ones by twofold and fourfold. The proposed GAN‐based algorithm successfully reconstructs low‐resolution interference patterns into high‐resolution ones, achieving high R‐square values (96.05% for twofold and 91.1% for fourfold). This innovation holds potential for point‐of‐care applications, like noninvasive blood glucose concentration measurements, enabling cost‐effective, portable Raman spectrometers with improved capabilities.

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Section: Introductionmentioning

confidence: 99%

Generative adversarial networks‐based super‐resolution algorithm enables high signal‐to‐noise ratio spatial heterodyne Raman spectra

Hu,

Shen,

Chen

et al. 2023

J Raman Spectroscopy

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show abstract

“…With further technological development, THz Raman detection systems now use Bragg notch filters (BNFs) to filter low-wavenumber signals. Christophe Moser et al [17] and Xinru Guan et al [18] have used a combination of BNFs and a dispersive Raman spectrometer to realize THz Raman measurement. However, the incidence slit of a dispersive Raman spectrometer reduces the throughput and the SNR.…”

Section: Introductionmentioning

confidence: 99%

Terahertz Raman Measurements Using a Spatial Heterodyne Raman Spectrometer

Sun

Galantu

et al. 2021

Applied Sciences

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We propose a method of measuring the terahertz (THz) Raman spectra of a material. As Raman spectroscopy is a measurement of the relative frequency spectrum relative to the frequency of the excitation source, it is not necessary to use an expensive THz source and THz detector. Instead, an ultraviolet, visible, or infrared excitation source and corresponding detector can be used. A combination of prisms and gratings is used to widen the field of view at high resolution. The resolution of the system is 4.945 cm−1 (0.149 THz), and the spectral range is 2531.84 cm−1 (75.963 THz). We measured the THz Raman spectra of solid powder, aqueous solutions, and mixtures, and studied the effects of environment, container material, and time of measurement on the spectra. The results show that the system is not significantly affected by interference from the water environment and has good stability and repeatability. This method can be applied in many fields such as material detection and environmental protection.

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