Design and development of a fiber-optic immunosensor utilizing near-infrared fluorophores

1996 ◽  
Vol 6 (2) ◽  
pp. 69-75 ◽  
Author(s):  
Maryam I. Daneshvar ◽  
Guillermo A. Casay ◽  
Gabor Patonay ◽  
Malgorzata Lipowska ◽  
Lucjan Strekowski ◽  
...  
Keyword(s):  
Near Infrared ◽  
Fiber Optic ◽  
Design And Development

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

1998 ◽  
Vol 52 (5) ◽  
pp. 717-724 ◽  
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.

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

1998 ◽  
Vol 6 (A) ◽  
pp. A313-A320 ◽  
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.

Design and Development of Fiber-Optic Parametric 2R Regenerators

2013 ◽  
Vol 33 (9) ◽  
pp. 0906005
Author(s):  
马辉栋 Ma Huidong ◽  
武保剑 Wu Baojian ◽  
文峰 Wen Feng ◽  
周星宇 Zhou Xingyu ◽  
许渤 Xu Bo
Keyword(s):  
Fiber Optic ◽  
Design And Development

Near-infrared diffuse reflectance fiber optic spectroscopy for process monitoring applications

1999 ◽  
Author(s):  
Steven C. Switalski ◽  
Todd Colin ◽  
Neil Redden ◽  
Eric Stahlecker ◽  
Vijay Parthasarathy
Keyword(s):  
Process Monitoring ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Fiber Optic ◽  
Monitoring Applications

Near-infrared absorption fiber-optic sensors for ultra-sensitive CO2detection

2015 ◽  
Author(s):  
Xinyuan Chong ◽  
Ki-Joong Kim ◽  
Paul R. Ohodnicki ◽  
Chih-Hung Chang ◽  
Alan X. Wang
Keyword(s):  
Infrared Absorption ◽  
Near Infrared ◽  
Fiber Optic ◽  
Fiber Optic Sensors

Long-Length Fiber Optic Near-Infrared (NIR) Spectroscopy Probes for On-Line Quality Control of Processed Land Animal Proteins

2018 ◽  
Vol 72 (8) ◽  
pp. 1170-1182 ◽  
Author(s):  
Ana Garrido-Varo ◽  
Ana Sánchez-Bonilla ◽  
Francisco Maroto-Molina ◽  
Cecilia Riccioli ◽  
Dolores Pérez-Marín
Keyword(s):  
Near Infrared ◽  
Fiber Optic ◽  
Nir Spectroscopy ◽  
Conveyor Belt ◽  
Animal Origin ◽  
Processing Plant ◽  
Fiber Optic Cable ◽  
Operating Modes ◽  
On Line ◽  
Dynamic Operating

This research was conducted using a spectral database comprising 346 samples of processed animal proteins (PAPs) with a range of compositions, analyzed using a Fourier transform near-infrared spectroscopy multichannel instrument (Matrix-F, Bruker Optics) coupled to a 100 m fiber optic cable. Using both its static and dynamic operating modes (on a conveyor belt), simulating the movement of the product in the plant, the predictive capabilities of both modes of analysis were assessed and compared, for the purposes of predicting moisture, protein, and ashes. The results show that both exhibit highly similar degrees of precision and accuracy for predicting these parameters. This research provides a foundation of scientific-technical knowledge, hitherto unknown, regarding the “on-line” incorporation of an instrument (equipped with a 100 m fiber optic cable) into a processing plant of by-products of animal origin.

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