Risk Analysis for near Infrared Method Development

NIR news ◽  
2004 ◽  
Vol 15 (5) ◽  
pp. 12-13 ◽  
Author(s):  
Robert P. Cogdill ◽  
Carl A. Anderson ◽  
James K. Drennen
Keyword(s):  
Risk Analysis ◽  
Method Development ◽  
Near Infrared ◽  
Infrared Method

Near Infrared Method Development for a Continuous Manufacturing Blending Process

2014 ◽  
Vol 9 (4) ◽  
pp. 291-301 ◽  
Author(s):  
Yleana M. Colón ◽  
Miguel A. Florian ◽  
David Acevedo ◽  
Rafael Méndez ◽  
Rodolfo J. Romañach
Keyword(s):  
Method Development ◽  
Near Infrared ◽  
Continuous Manufacturing ◽  
Infrared Method ◽  
Blending Process

scholarly journals Process analytical technology case study part I: Feasibility studies for quantitative near-infrared method development

2005 ◽  
Vol 6 (2) ◽  
pp. E262-E272 ◽  
Author(s):  
Robert P. Cogdill ◽  
Carl A. Anderson ◽  
Miriam Delgado-Lopez ◽  
David Molseed ◽  
Robert Chisholm ◽  
...  
Keyword(s):  
Method Development ◽  
Near Infrared ◽  
Process Analytical Technology ◽  
Feasibility Studies ◽  
Infrared Method ◽  
Analytical Technology

Near-Infrared Method for Analysis of Block and Random Ethylene-Propylene Copolymers.

1966 ◽  
Vol 38 (2) ◽  
pp. 217-220 ◽  
Author(s):  
R. M. Bly ◽  
P. E. Kiener ◽  
B. A. Fries
Keyword(s):  
Near Infrared ◽  
Ethylene Propylene ◽  
Infrared Method

Determination of Moisture by Mid Infrared Transmission Spectroscopy

1988 ◽  
Vol 71 (5) ◽  
pp. 1024-1027 ◽  
Author(s):  
Frederick R Van De Voort ◽  
Marilou Laureano ◽  
James P Smith
Keyword(s):  
Near Infrared ◽  
Milk Powder ◽  
Skim Milk ◽  
Skim Milk Powder ◽  
Infrared Transmission ◽  
Mid Infrared ◽  
Standard Curve ◽  
Moisture Extraction ◽  
Infrared Method

Abstract An investigation was undertaken to determine whether commercially available mid infrared filter instrumentation (i.e., Multispec MK1) could be used to determine moisture in a manner similar to the AOAC near infrared method. Using a specially designed IR scanning spectrophotometer capable of working with aqueous systems, functional sample (6.02 jtm) and reference (5.56 iim) wavelengths were determined for quantitating water-methanol mixtures, and a standard curve was derived. Skim milk powder, bread crumbs, and flour were mixed with dry methanol to extract moisture into the solvent; moisture was quantitated relative to 3 AOAC methods. The results indicated that the wavelength pair selected worked well and had the potential to determine moisture content of low moisture food products, given that appropriate moisture extraction protocols were derived. This work indicates that the capabilities of commercial filter-based mid infrared instruments could be expanded to include moisture analyses if such instruments were equipped with the appropriate interference filters to carry out this determination.

Analytical Method Quality by Design for an On-Line Near-Infrared Method to Monitor Blend Potency and Uniformity

2014 ◽  
Vol 10 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Claudia C. Corredor ◽  
Ruben Lozano ◽  
Xin Bu ◽  
Ryan McCann ◽  
Jeffrey Dougherty ◽  
...  
Keyword(s):  
Analytical Method ◽  
Quality By Design ◽  
Near Infrared ◽  
On Line ◽  
Infrared Method

scholarly journals Development of a Food Manufacturing System with Near Infrared Method.

1998 ◽  
Vol 45 (3) ◽  
pp. 216-220
Author(s):  
Takuya KATSUBE ◽  
Tatsuo HOSOTANI ◽  
Yukikazu YAMASAKI ◽  
Katsuaki SUGINAKA ◽  
Masatoshi IWAMOTO
Keyword(s):  
Manufacturing System ◽  
Near Infrared ◽  
Food Manufacturing ◽  
Infrared Method

Moisture in Dried Vegetables and Spices

1966 ◽  
Vol 49 (4) ◽  
pp. 726-730 ◽  
Author(s):  
Bobby R Eader
Keyword(s):  
Near Infrared ◽  
Collaborative Study ◽  
Oven Method ◽  
Vacuum Oven ◽  
Karl Fischer ◽  
Karl Fischer Method ◽  
Infrared Method ◽  
Dried Vegetables ◽  
Fischer Method

Abstract A collaborative study was conducted to compare the near-infrared spectrophotometric method and a Karl Fischer volumetric method with a vacuum oven method for the determination of moisture. Results by the near-infrared method were as accurate as and more rapid and specific than the vacuum oven method. Results by the Karl Fischer method were not as satisfactory; more study is needed to improve the precision of the method.

Framework for Multivariate Selectivity Analysis, Part II: Experimental Applications

2005 ◽  
Vol 59 (6) ◽  
pp. 804-815 ◽  
Author(s):  
Trent D. Ridder ◽  
Christopher D. Brown ◽  
Benjamin J. Ver Steeg
Keyword(s):  
Method Development ◽  
Near Infrared ◽  
Calibration Model ◽  
Data Sets ◽  
Validation Data ◽  
Calibration Models ◽  
Vitro Data ◽  
In Vitro Data

In Part I of this paper, a framework for multivariate selectivity was introduced that is both calculable from first principles and experimentally tractable. In this part, we employ the proposed selectivity framework for analyzing both in vitro and in vivo near-infrared experimental data. Two in vitro data sets are used to compare different methods for estimating selectivity and to demonstrate the benefits obtained from validation data with expanded interferant concentration ranges. The in vitro data also demonstrate that the experimentally estimated selectivities provide insights into the properties of the calibration models that are difficult or impossible to infer by other means. The merits of the proposed selectivity function are further demonstrated using a complex in vivo application: the noninvasive measurement of ethanol in humans. Results indicate that in vivo calibration model sensitivity, selectivity, and concentration correlations can be systematically interrogated using the proposed selectivity framework and judicious use of experimental measurements. These analyses not only provide selectivity and sensitivity information, but also the variance components of the total MSEP, which is invaluable information for both method development and analytical method characterization.

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