Fluoride Fiber-Optic SPR Sensor With Graphene and NaF Layers: Analysis of Accuracy, Sensitivity, and Specificity in Near Infrared

Two-dimensional (2D) heterostructure materials show captivating properties for application in surface plasmon resonance (SPR) sensors. A fluoride fiber-based SPR sensor is proposed and simulated with the inclusion of a 2D heterostructure as the analyte interacting layer. The monolayers of two 2D heterostructures (BlueP/MoS2 and BlueP/WS2, respectively) are considered in near infrared (NIR). In NIR, an HBL (62HfF4-33BaF2-5LaF3) fluoride glass core and NaF clad are considered. The emphasis is placed on figure of merit (FOM) enhancement via optimization of radiation damping through simultaneous tuning of Ag thickness (dm) and NIR wavelength (λ) at the Ag-2D heterostructure–analyte interfaces. Field distribution analysis is performed in order to understand the interaction of NIR signal with analyte at optimum radiation damping (ORD) condition. While the ORD leads to significantly larger FOM for both, the BlueP/MoS2 (FOM = 19179.69 RIU−1 (RIU: refractive index unit) at dm = 38.2 nm and λ = 813.4 nm)-based sensor shows massively larger FOM compared with the BlueP/WS2 (FOM = 7371.30 RIU−1 at dm = 38.2 nm and λ = 811.2 nm)-based sensor. The overall sensing performance was more methodically evaluated in terms of the low degree of photodamage of the analyte, low signal scattering, high power loss, and large field variation. The BlueP/MoS2-based fiber SPR sensor under ORD conditions opens up new paths for biosensing with highly enhanced overall performance.

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Dryer Effluent Monitoring in a Chemical Pilot Plant via Fiber-Optic Near-Infrared Spectroscopy

Applied Spectroscopy ◽

10.1366/0003702981944139 ◽

1998 ◽

Vol 52 (5) ◽

pp. 717-724 ◽

Cited By ~ 10

Author(s):

Charity Coffey ◽

Alex Predoehl ◽

Dwight S. Walker

Keyword(s):

Real Time ◽

Pilot Plant ◽

Near Infrared ◽

Fiber Optic ◽

Tunable Filter ◽

Calibration Model ◽

Gas Cell ◽

Rotary Dryer ◽

Vapor Stream ◽

Effluent Stream

The monitoring of the effluent of a rotary dryer has been developed and implemented. The vapor stream between the dryer and the vacuum is monitored in real time by a process fiber-optic coupled near-infrared (NIR) spectrometer. A partial least-squares (PLS) calibration model was developed on the basis of solvents typically used in a chemical pilot plant and uploaded to an acousto-optic tunable filter NIR (AOTF-NIR). The AOTF-NIR is well suited to process monitoring as it electrically scans a crystal and hence has no moving parts. The AOTF-NIR continuously fits the PLS model to the currently collected spectrum. The returned values can be used to follow the drying process and determine when the material can be unloaded from the dryer. The effluent stream was monitored by placing a gas cell in-line with the vapor stream. The gas cell is fiber-optic coupled to a NIR instrument located 20 m away. The results indicate that the percent vapor in the effluent stream can be monitored in real time and thus be used to determine when the product is free of solvent.

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Effect of Sample Heterogeneity on near Infrared Meat Analysis: The Use of the RMS Statistic

Journal of Near Infrared Spectroscopy ◽

10.1255/jnirs.214 ◽

1998 ◽

Vol 6 (A) ◽

pp. A313-A320 ◽

Cited By ~ 16

Author(s):

M.L. Martínez ◽

Ana Garrido-Varo ◽

E. De Pedro ◽

L. Sánchez

Keyword(s):

Near Infrared ◽

Fiber Optic ◽

Iberian Pig ◽

Set Up ◽

Sample Heterogeneity ◽

Meat Analysis

Ground and emulsified samples from Iberian pig hams were analysed by reflectance and interactance reflectance mode. Spectral errors due to intra-sample variations were calculated for both analysis modes. The spectral errors were calculated by means of the STD RMS statistic included on the ISI software. The results obtained show that a mean STD RMS value as low as 4200, could be obtained for paired subsamples of the same sample and that an STD limit of 4374 could be fixed at the instrument set-up program in order to ensure that a representative spectrum has been obtained from two subsamples readings of the same sample. That procedure avoids the need to take numerous subsamples, as is traditional in NIR/NIT meat analysis. The results also show that the spectral repeatability using fiber optic is worse than for spinning cups and it has been concluded that effort should be made to avoid moisture variations during scanning in order to improve spectral repeatability.

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Monitoring a progressing transesterification reaction by fiber-optic near infrared spectroscopy with correlation to 1 H nuclear magnetic resonance spectroscopy

Journal of the American Oil Chemists Society ◽

10.1007/s11746-000-0078-5 ◽

2000 ◽

Vol 77 (5) ◽

pp. 489-493 ◽

Cited By ~ 172

Author(s):

Gerhard Knothe

Keyword(s):

Nuclear Magnetic Resonance ◽

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Magnetic Resonance Spectroscopy ◽

Nuclear Magnetic Resonance Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Fiber Optic ◽

Transesterification Reaction ◽

Resonance Spectroscopy

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Comparison of Gold and Silver/Gold Bimetallic Surface for Highly Sensitive Near-infrared SPR Sensor at 1550 nm

Plasmonics ◽

10.1007/s11468-012-9446-1 ◽

2012 ◽

Vol 8 (2) ◽

pp. 619-624 ◽

Cited By ~ 19

Author(s):

Jerome Hottin ◽

Edy Wijaya ◽

Laurent Hay ◽

Sophie Maricot ◽

Mohamed Bouazaoui ◽

...

Keyword(s):

Near Infrared ◽

Spr Sensor ◽

Bimetallic Surface ◽

Highly Sensitive

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A Comparison of Near-Infrared Imaging and Computerized Tomography Scan for Detecting Maxillary Sinusitis

Annals of Otology Rhinology & Laryngology ◽

10.1177/00034894211060623 ◽

2021 ◽

pp. 000348942110606

Author(s):

Mehdi Abouzari ◽

Brooke Sarna ◽

Joon You ◽

Adwight Risbud ◽

Kotaro Tsutsumi ◽

...

Keyword(s):

Maxillary Sinus ◽

Computerized Tomography ◽

Sensitivity And Specificity ◽

Near Infrared ◽

Maxillary Sinusitis ◽

Tertiary Care ◽

Pixel Intensity ◽

Sinus Disease ◽

Nir Imaging ◽

Average Pixel Intensity

Objective: To investigate the use of near-infrared (NIR) imaging as a tool for outpatient clinicians to quickly and accurately assess for maxillary sinusitis and to characterize its accuracy compared to computerized tomography (CT) scan. Methods: In a prospective investigational study, NIR and CT images from 65 patients who presented to a tertiary care rhinology clinic were compared to determine the sensitivity and specificity of NIR as an imaging modality. Results: The sensitivity and specificity of NIR imaging in distinguishing normal versus maxillary sinus disease was found to be 90% and 84%, normal versus mild maxillary sinus disease to be 76% and 91%, and mild versus severe maxillary sinus disease to be 96% and 81%, respectively. The average pixel intensity was also calculated and compared to the modified Lund-Mackay scores from CT scans to assess the ability of NIR imaging to stratify the severity of maxillary sinus disease. Average pixel intensity over a region of interest was significantly different ( P < .001) between normal, mild, and severe disease, as well as when comparing normal versus mild ( P < .001, 95% CI 42.22-105.39), normal versus severe ( P < .001, 95% CI 119.43-174.14), and mild versus severe ( P < .001, 95% CI 41.39-104.56) maxillary sinus disease. Conclusion: Based on this data, NIR shows promise as a tool for identifying patients with potential maxillary sinus disease as well as providing information on severity of disease that may guide administration of appropriate treatments.

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