Kenneth W. Busch - Waco TX, US Isabel Maya P. Swamidoss - TamiNadu, IN Sayo Fakayode - Waco TX, US Marianna Busch - Waco TX, US
Assignee:
Baylor University - Waco TX
International Classification:
G01N 31/00
US Classification:
702 22, 702 23
Abstract:
A new strategy for the quantitative determination of enantiomeric purity that combines guest-host complexation, spectroscopy, and chemometric modeling. Spectral data for samples of known enantiomeric composition is subjected to a type of multivariate regression modeling known as partial least squares (“PLS-1”) regression. The PLS-1 regression produces a mathematical model that can be used to predict the enantiomeric composition of a set of samples of unknown enantiomeric purity.
Kenneth W. Busch - Waco TX, US Dennis H. Rabbe - Crawford TX, US Marianna Busch - Waco TX, US
Assignee:
Baylor University - Waco TX
International Classification:
G01N 21/21
US Classification:
2503381, 2503361, 250372, 356 51, 356432
Abstract:
A method for determining sugar concentration using spectropolarimetry and multivariate regression modeling A set of fixed polarizers are used in association with a spectrometer, which enables the measurement of optical rotation as absorbance values over a range of wavelengths. The adverse effects of color within the samples is corrected by measuring a background level of absorbance that is not due to optical rotation and using this as a baseline. A regression model is then developed for predicting sugar concentration in unknown samples. This method is effective even if the sample is colored.
Methods For Determining Enantiomeric Purity With Varying Chiral Analyte Concentration
Kenneth W. Busch - Waco TX, US Jemina Rose Ingle - Lawrence KS, US Marianna Busch - Waco TX, US
Assignee:
Baylor University - Waco TX
International Classification:
G01J 3/00
US Classification:
356300
Abstract:
A new strategy for the quantitative determination of enantiomeric purity that combines guest-host complexation, spectroscopy, and chemometric modeling. Spectral data for samples of known enantiomeric composition is subjected to a type of multivariate regression modeling known as partial least squares (“PLS-1”) regression. The PLS-1 regression produces a mathematical model that can be used to predict the enantiomeric composition of a set of samples of unknown enantiomeric purity. In this strategy, the concentration of the chiral compound does not have to be fixed or known.
Classification Of Fabrics By Near-Infrared Spectroscopy
Kenneth W. Busch - Waco TX, US Christopher B. Davis - Live Oak TX, US Marianna Busch - Waco TX, US
Assignee:
Baylor University - Waco TX
International Classification:
G06F 17/00 G06N 7/04
US Classification:
706 54
Abstract:
A method for classifying textile samples and unknown fabrics into known categories using spectroscopy, chemometric modeling, and soft independent modeling of class analogies (“SIMCA”). The method involves collecting spectral data, preferably diffuse near infrared reflectance data, for a library of known fabric samples, creating a database of principal component analyses for each type of fabric, and using SIMCA to classify an unknown fabric sample according to the database.
Methods For Determining Enantiomeric Purity With Improved Chiral Selectors
Kenneth W. Busch - Waco TX, US Selorm Modzabi - Waco TX, US Marianna Busch - Waco TX, US
International Classification:
G01N 21/00 G06F 19/00
US Classification:
436 89, 702 19, 436164
Abstract:
A strategy, or method, for the quantitative determination of enantiomeric purity that combines lin situ enantiomer diastereomerization', spectroscopy, and chemometric modeling. Spectral data for samples of known enantiomeric composition is subjected to a type of multivariate regression modeling known as partial least squares (“PLS-I”) regression. The PLS-I regression produces a mathematical model that can be used to predict the enantiomeric composition of a set of samples of unknown enantiomeric purity. In this strategy, the guest-host complexation utilizes improved chiral selector molecules, including chiral amines and chiral alcohols such as phenylethylamine and 1,2-propanediol, that form ion pairs or covalent bonds with the chiral analytes.
High Accuracy Determination Of Chlorine Content By Isotope Dilution Flame Infrared Emission Spectrometry (Id-Fire)
Kenneth W. Busch - Waco TX Arvie J. Kuehn - Waco TX Marianna A. Busch - Waco TX
Assignee:
Baylor University - Waco TX
International Classification:
G01N 2172 G01N 2135
US Classification:
25033912
Abstract:
A method and apparatus for quantitatively determining chlorine content and fractional abundance of chlorine isotopes in unknown samples. When using this method and apparatus to determine chlorine content, isotope dilution principles may be employed. Chlorine isotopes used for diluting an unknown sample may be. sup. 35 Cl or. sup. 37 Cl, and relative isotope content in the diluted mixture may be measured using infrared spectrometry.
Kenneth W. Busch - Waco TX M. Keith Hudson - Little Rock AR Marianna A. Busch - Waco TX Sidney W. Kubala - Angleton TX David C. Tilotta - Grand Forks ND Ravishankar Srinivasan - Houston TX Yunke Zhand - Columbia SC
Assignee:
Baylor University - Waco TX
International Classification:
G01N 2171 G01N 2162
US Classification:
2503416
Abstract:
Apparatus and method for qualitatively and quantitatively analyzing infrared emission from excited molecules in the determination of, for example, total inorganic carbon, chloride and available chlorine in aqueous samples. Methods of exciting the gas-phase, infrared-active molecules to emit radiation include flame excitation, furnace excitation, excitation by electron impact in a gas discharge or excitation by collisions with a vibrationally excited diatomic molecule. The detector is optimized by use of dual beam system with background subtraction capabilities thereby eliminating background noise and fluctuations therein.
Kenneth W. Busch - Waco TX M. Keith Hudson - Little Rock AR Marianna A. Busch - Waco TX Sidney W. Kubala - Hewitt TX David C. Tilotta - Waco TX Ravishankar Srinivasan - Waco TX
Assignee:
Research Corporation Technologies, Inc. - Tucson AZ
International Classification:
G01N 2172
US Classification:
436101
Abstract:
Apparatus and method for qualitatively and quantitatively analyzing infrared emission from excited molecules in samples of interest is disclosed. Over the wavelength interval from 1 to 5 um, two strong emission bands are observed with a PbSe detector when organic compounds are introduced into an hydrogen/air flame. The band at 4. 3 um (2326 cm. sup. -1 is due to the asymmetric stretch of carbon dioxide while the band at 2. 7 um is due to both water and carbon dioxide emission. The carbon dioxide emission at 4. 3 um is most intense at the tip of the flame, and increases with the amount of organic compound introduced into the flame. For chromatographic application, an optical filter can be used to isolate the 4. 3 um emission band. The infrared emission detection system finds application in the determination of total inorganic carbon, chloride and available chlorine in aqueous samples.
Professor Emeritus of Chemistry, Ged
Baylor University
Professor Emeritus of Chemistry, Ged Science and Math Tutor
Education:
Heidelberg University
Victoria University of Wellington
Randolph College
Bachelors, Bachelor of Arts, Chemistry
Florida State University
Doctorates, Doctor of Philosophy, Philosophy, Chemistry