In Situ High-Temperature Raman Spectroscopy via a Remote Fiber-Optic Raman Probe

Zhang, Bohong; Tekle, Hanok; O’Malley, Ronald J.; Smith, Jeffrey D.; Gerald, Rex E.; Huang, Jie

doi:10.1109/tim.2023.3244238

Cited by 7 publications

(7 citation statements)

References 35 publications

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“…Therefore, by examining all Raman spectra at the same temperature, the intrinsic temperature dependence of Raman scattering can be eliminated. In our previous studies, we proposed a background subtraction method to eliminate the background thermal radiation signal [15,16]. In the high-temperature experiments, an empty furnace was first heated to 1400 °C and held for thermal stability.…”

Section: Resultsmentioning

confidence: 99%

“…Comparing with the traditional electronic devices, Fiber optic sensors offer numerous advantages over traditional sensors, including high sensitivity, immunity to electromagnetic interference, and the ability to operate in harsh environments [9][10][11][12][13][14]. Recent advancements in fiber optic sensors Raman spectroscopy have opened up new avenues for studying the molecular structure of molten materials [15,16]. Raman spectroscopy is a non-destructive analytical technique that can be used to identify the molecular structure of a material by analyzing the scattering of laser light.…”

Section: Introductionmentioning

confidence: 99%

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Structural analysis of molten materials by a remote fiber optic Raman sensor

Zhang

Tekle

O’Malley

et al. 2023

Optical Waveguide and Laser Sensors II

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This study presents a novel in situ high-temperature fiber optic Raman probe that enables the study of the physical properties and structure of molten samples at temperatures up to 1400 °C. To demonstrate the functionality of the hightemperature fiber optic Raman probe, different composition mold fluxes were evaluated in this report. The Raman spectra at flux molten temperature were successfully collected and analyzed. A deconvolution algorithm was employed to identify peaks in the spectra associated with the molecular structure of the components in each sample. The experimental results demonstrate that the composition-dependent Raman signal shift can be detected at high temperatures, indicating that molten materials analysis using a high-temperature Raman system shows significant promise. This flexible and reliable high-temperature Raman measurement method has great potential for various applications, such as materials development, composition and structure monitoring during high-temperature processing, chemical identification, and process monitoring in industrial production.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural analysis of molten materials by a remote fiber optic Raman sensor

Zhang

Tekle

O’Malley

et al. 2023

Optical Waveguide and Laser Sensors II

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“…To assess the structural composition of silicate-chlorinated BG, Raman spectroscopy was employed (Figure 1A). It is noteworthy that the glass structure was constituted by Q 2 silica structural units, 28 as evidenced by the prominent band positioned at 960 cm À1 . 29 Additionally, a minor peak is discernible around 1050 cm À1 , which can be related to the P O stretching modes.…”

Section: Chemical Physical and Morphological Characterization Of Bg P...mentioning

confidence: 99%

Biodegradable electrospun poly(L‐lactide‐co‐ε‐caprolactone)/polyethylene glycol/bioactive glass composite scaffold for bone tissue engineering

de Souza,

Cardoso,

de Toledo

et al. 2024

J Biomed Mater Res

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The field of tissue engineering has witnessed significant advancements in recent years, driven by the pursuit of innovative solutions to address the challenges of bone regeneration. In this study, we developed an electrospun composite scaffold for bone tissue engineering. The composite scaffold is made of a blend of poly(L‐lactide‐co‐ε‐caprolactone) (PLCL) and polyethylene glycol (PEG), with the incorporation of calcined and lyophilized silicate‐chlorinated bioactive glass (BG) particles. Our investigation involved a comprehensive characterization of the scaffold's physical, chemical, and mechanical properties, alongside an evaluation of its biological efficacy employing alveolar bone‐derived mesenchymal stem cells. The incorporation of PEG and BG resulted in elevated swelling ratios, consequently enhancing hydrophilicity. Thermal gravimetric analysis confirmed the efficient incorporation of BG, with the scaffolds demonstrating thermal stability up to 250°C. Mechanical testing revealed enhanced tensile strength and Young's modulus in the presence of BG; however, the elongation at break decreased. Cell viability assays demonstrated improved cytocompatibility, especially in the PLCL/PEG+BG group. Alizarin red staining indicated enhanced osteoinductive potential, and fluorescence analysis confirmed increased cell adhesion in the PLCL/PEG+BG group. Our findings suggest that the PLCL/PEG/BG composite scaffold holds promise as an advanced biomaterial for bone tissue engineering.

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“…The degree of polymerization (DP) of the insulating paper is a reliable measure to reflect the aging state of the oil-paper insulation and characterize the aging stages of transformers [2][3][4]. This parameter can be directly assessed in a nondestructive and non-contact manner via Raman spectroscopy [5][6][7]. In the inspection of electrical equipment, Raman spectroscopy analysis of insulating oil can bring information about the aging characteristics of transformer operation at different stages [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction of Oil–Paper Insulation Raman Spectroscopy Based on Manifold Dimension Transformation

Chen

Fan

et al. 2023

Applied Sciences

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Transformers play a crucial role in power systems. In this respect, fault diagnosis and aging state assessment have garnered significant attention from researchers. Herein, accelerated thermal aging and Raman scattering experiments are conducted on oil–paper insulation samples to accurately detect aging states. The samples are categorized into different aging stages based on the polymerization degree of the insulating paper. Principal component analysis (PCA), multi-dimensional scale change method (MDS), and isometric mapping algorithm (Isomap) are employed to extract features from the Raman spectra. Subsequently, the XGBoost strong classifier, optimized through Bayesian hyperparameter optimization (BO-XGBoost), is utilized to distinguish between four and ten states among 175 groups of samples after feature extraction. The subsequent classification results of the three feature-extraction methods are compared. The results indicate that Isoamp, which pertains to the manifold dimension transformation, achieves the highest average discriminative accuracy after feature extraction. The discriminative accuracies for aging states four and ten are 97.0% and 95.1% respectively, demonstrating that Raman spectroscopy manifold dimension transformation enhances the distinctiveness between samples of different aging states in the feature-extraction process. The diagnostic model constructed with Isomap and BO-XGBoost enables accurate discrimination of the aging states of oil–paper insulation.

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In Situ High-Temperature Raman Spectroscopy via a Remote Fiber-Optic Raman Probe

Cited by 7 publications

References 35 publications

Structural analysis of molten materials by a remote fiber optic Raman sensor

Structural analysis of molten materials by a remote fiber optic Raman sensor

Biodegradable electrospun poly(L‐lactide‐co‐ε‐caprolactone)/polyethylene glycol/bioactive glass composite scaffold for bone tissue engineering

Feature Extraction of Oil–Paper Insulation Raman Spectroscopy Based on Manifold Dimension Transformation

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