Fiber Optic Probe Applications Using Near-Infrared Compounds: Determination of NaOH

1995 ◽  
Vol 28 (3) ◽  
pp. 301-326 ◽  
Author(s):  
Guillermo A. Casay ◽  
Fred Meadows ◽  
Niambi Daniels ◽  
Alexandra Roberson ◽  
Gabor Patonay
Keyword(s):  
Near Infrared ◽  
Fiber Optic ◽  
Fiber Optic Probe ◽  
Optic Probe

scholarly journals Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Jucelino Medeiros Marques Junior ◽  
Aline Lima Hermes Muller ◽  
Edson Luiz Foletto ◽  
Adilson Ben da Costa ◽  
Cezar Augusto Bizzi ◽  
...  
Keyword(s):  
Least Squares ◽  
Near Infrared ◽  
Fiber Optic ◽  
Pharmaceutical Preparations ◽  
Infrared Spectrometry ◽  
Propranolol Hydrochloride ◽  
Fiber Optic Probe ◽  
Near Infrared Spectrometry ◽  
Optic Probe

A method for determination of propranolol hydrochloride in pharmaceutical preparation using near infrared spectrometry with fiber optic probe (FTNIR/PROBE) and combined with chemometric methods was developed. Calibration models were developed using two variable selection models: interval partial least squares (iPLS) and synergy interval partial least squares (siPLS). The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. A root mean square error of prediction (RMSEP) of 8.2 mg g−1was achieved using siPLS (s2i20PLS) algorithm with spectra divided into 20 intervals and combination of 2 intervals (8501 to 8801 and 5201 to 5501 cm−1). Results obtained by the proposed method were compared with those using the pharmacopoeia reference method and significant difference was not observed. Therefore, proposed method allowed a fast, precise, and accurate determination of propranolol hydrochloride in pharmaceutical preparations. Furthermore, it is possible to carry out on-line analysis of this active principle in pharmaceutical formulations with use of fiber optic probe.

Quick Determination of Fat Content in Beef Longissimus by Near-Infrared Spectroscopy with a Fiber Optic Probe

1994 ◽  
pp. 939-941
Author(s):  
Mitsuru Mitsumoto ◽  
Shinobu Ozawa ◽  
Tadayoshi Mitsuhashi ◽  
Kimiyuki Shinohara ◽  
Kenichi Tatsubayashi
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Fiber Optic ◽  
Fat Content ◽  
Fiber Optic Probe ◽  
Optic Probe ◽  
Quick Determination

Remote Sensing Fiber Optic Probe NIR Spectroscopy Coupled with Chemometric Data Treatment

1987 ◽  
Vol 41 (5) ◽  
pp. 786-790 ◽  
Author(s):  
L. G. Weyer ◽  
K. J. Becker ◽  
H. B. Leach
Keyword(s):  
Remote Sensing ◽  
Near Infrared ◽  
Fiber Optic ◽  
Fatty Acid Derivative ◽  
Guided Wave ◽  
Composition Analysis ◽  
Good Prediction ◽  
Fiber Optic Probe ◽  
Data Treatment ◽  
Optic Probe

A near-infrared fiber optic probe remote sensing spectroscopic system has been developed for online multicomponent composition analysis. The Guided Wave Model 200 UV-VIS-NIR spectrophotometer has been evaluated as the base of this system. Multiple linear regression (MLR) software has been combined with data transfer, graphics, and online monitoring programs. The system has been evaluated in plant trials to monitor the composition of mixed alcohol purification streams, mixed solvent distillate, and a fatty acid derivative. The combined use of derivative spectroscopy and MLR data treatment provided good prediction equations for the real-time (20 s) monitoring of the concentrations of several components in moving streams.

A fiber-optic probe and FT-NIR for onsite quality analysis of olive oils

NIR news ◽  
2018 ◽  
Vol 29 (4) ◽  
pp. 4-8 ◽  
Author(s):  
José A Adame-Siles ◽  
Francisco Sánchez-Müller ◽  
Francisco Maroto-Molina ◽  
Cecilia Riccioli ◽  
Ana Garrido-Varo ◽  
...  
Keyword(s):  
Near Infrared ◽  
Fiber Optic ◽  
Fiber Optic Sensor ◽  
Quality Analysis ◽  
Fiber Optic Probe ◽  
Sensor Performance ◽  
Olive Oils ◽  
Decision Making Processes ◽  
Enhance Efficiency ◽  
Optic Probe

Compliance checks at reception of olive oil in bulk before unloading is an essential step for packing plants to meet quality standards and ensure traceability. Nevertheless, classic procedures based on the withdrawal of samples followed by at-line analysis need to be improved. Near-infrared spectroscopy features can make it an ideal technology to enhance efficiency and decision-making processes. This article presents a new approach whose main pillar is the automated use of a fiber-optic sensor to sample and analyse olive oils in bulk, directly in the tank before the downloading at the reception point. Moreover, a preliminary assessment of the sensor performance is also reported.

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