Grady Hanrahan

Summary

Affiliation: California Lutheran University
Country: USA

Publications

  1. ncbi Chemometric experimental design based optimization techniques in capillary electrophoresis: a critical review of modern applications
    Grady Hanrahan
    Department of Chemistry and Biochemistry, California State University, Los Angeles, Los Angeles, CA 90032, USA
    Anal Bioanal Chem 390:169-79. 2008
  2. ncbi Swarm intelligence metaheuristics for enhanced data analysis and optimization
    Grady Hanrahan
    Department of Chemistry, California Lutheran University, 60 West Olsen Road, Thousand Oaks, CA 91360, USA
    Analyst 136:3587-94. 2011
  3. ncbi Computational neural networks driving complex analytical problem solving
    Grady Hanrahan
    Applied Analytical Chemistry, California Lutheran University, CA 91360, USA
    Anal Chem 82:4307-13. 2010
  4. ncbi Use of chemometric methodology in optimizing conditions for competitive binding partial filling affinity capillary electrophoresis
    Ruth E Montes
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA, USA
    Electrophoresis 29:3325-32. 2008
  5. ncbi Chemometrical examination of active parameters and interactions in flow injection-capillary electrophoresis
    Froseen T Dahdouh
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA 90032, USA
    Electrophoresis 29:3779-85. 2008
  6. ncbi Application of artificial neural networks in the prediction of product distribution in electrophoretically mediated microanalysis
    Toni Ann Riveros
    Department of Chemistry and Biochemistry, California State University, State University Drive, Los Angeles, CA 90032, USA
    Electrophoresis 30:2385-9. 2009
  7. ncbi Implementation of a genetically tuned neural platform in optimizing fluorescence from receptor-ligand binding interactions on microchips
    Judith Alvarado
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA, USA
    Electrophoresis 33:2711-7. 2012
  8. ncbi Biologically driven neural platform invoking parallel electrophoretic separation and urinary metabolite screening
    Tessa Page
    Department of Chemistry, California Lutheran University, Thousand Oaks, CA 91360, USA
    Anal Bioanal Chem 403:2367-75. 2012
  9. ncbi On-capillary derivatization using a hybrid artificial neural network-genetic algorithm approach
    Toni Riveros
    Department of Chemistry and Biochemistry, California State University, Los Angeles, 5151 State University Drive, Los Angeles, CA 90032, USA
    Analyst 134:2067-70. 2009
  10. ncbi Evolving neural network optimization of cholesteryl ester separation by reversed-phase HPLC
    Michael A Jansen
    Department of Biological Sciences, California State University Los Angeles, Los Angeles, CA 90032, USA
    Anal Bioanal Chem 397:2367-74. 2010

Collaborators

  • Frank A Gomez
  • Tina M Salmassi
  • Ruth E Montes
  • Judith Alvarado
  • Tessa Page
  • Michael A Jansen
  • Jennifer Arceo
  • Toni Ann Riveros
  • Herbe Pech
  • Toni Riveros
  • Sarah Muliadi
  • Froseen T Dahdouh
  • Lorena Ramos
  • Huong T H Nguyen
  • Huong Thi Huynh Nguyen
  • Lindsey Hilts
  • Edith Porter
  • Kym F Faull
  • Jacqueline Kiwata
  • Lyra Porcasi
  • Amanda Henry
  • Crist S Khachikian
  • Krishna L Foster
  • Keith Clarke
  • Marisol Salgado

Detail Information

Publications16

  1. ncbi Chemometric experimental design based optimization techniques in capillary electrophoresis: a critical review of modern applications
    Grady Hanrahan
    Department of Chemistry and Biochemistry, California State University, Los Angeles, Los Angeles, CA 90032, USA
    Anal Bioanal Chem 390:169-79. 2008
    ..Furthermore, future perspectives in the use of chemometric methodology in capillary electrophoresis are considered...
  2. ncbi Swarm intelligence metaheuristics for enhanced data analysis and optimization
    Grady Hanrahan
    Department of Chemistry, California Lutheran University, 60 West Olsen Road, Thousand Oaks, CA 91360, USA
    Analyst 136:3587-94. 2011
    ..Consideration will be given to algorithm development, ease of implementation and model performance, detailing subsequent influences on a number of application areas in the analytical, bioanalytical and detection sciences...
  3. ncbi Computational neural networks driving complex analytical problem solving
    Grady Hanrahan
    Applied Analytical Chemistry, California Lutheran University, CA 91360, USA
    Anal Chem 82:4307-13. 2010
    ..To listen to a podcast about this article, please go to the Analytical Chemistry multimedia page at pubs.acs.org/page/ancham/audio/index.html .)...
  4. ncbi Use of chemometric methodology in optimizing conditions for competitive binding partial filling affinity capillary electrophoresis
    Ruth E Montes
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA, USA
    Electrophoresis 29:3325-32. 2008
    ..3 min, voltage = 11.6 kV, [L(o)] = 1.4 microM). The achieved results greatly extend the usefulness of chemometrics in ACE and provide a valuable statistical tool for the study of other receptor-ligand combinations...
  5. ncbi Chemometrical examination of active parameters and interactions in flow injection-capillary electrophoresis
    Froseen T Dahdouh
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA 90032, USA
    Electrophoresis 29:3779-85. 2008
    ..This work is not only highly significant for advancing FI-CE developments, but instructive for investigators actively exploring other coupled analytical techniques and associated experimental parameters...
  6. ncbi Application of artificial neural networks in the prediction of product distribution in electrophoretically mediated microanalysis
    Toni Ann Riveros
    Department of Chemistry and Biochemistry, California State University, State University Drive, Los Angeles, CA 90032, USA
    Electrophoresis 30:2385-9. 2009
    ..Model validation addressing the extent of reaction and product ratios were subsequently determined experimentally in replicate analyses, with results shown to be in good agreement (<10% discrepancy difference) with predicted data...
  7. ncbi Implementation of a genetically tuned neural platform in optimizing fluorescence from receptor-ligand binding interactions on microchips
    Judith Alvarado
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA, USA
    Electrophoresis 33:2711-7. 2012
    ..967) data. Simulated results were experimentally validated demonstrating efficiency of the neural network approach and proved superior to the use of multiple linear regression and neural networks using standard back propagation...
  8. ncbi Biologically driven neural platform invoking parallel electrophoretic separation and urinary metabolite screening
    Tessa Page
    Department of Chemistry, California Lutheran University, Thousand Oaks, CA 91360, USA
    Anal Bioanal Chem 403:2367-75. 2012
    ..Adaptable pseudo-code is provided to enable users of varied software packages and modeling framework to implement the PSO algorithm for their desired use...
  9. ncbi On-capillary derivatization using a hybrid artificial neural network-genetic algorithm approach
    Toni Riveros
    Department of Chemistry and Biochemistry, California State University, Los Angeles, 5151 State University Drive, Los Angeles, CA 90032, USA
    Analyst 134:2067-70. 2009
    ..The model developed will likely prove useful for the analysis of other organic-based reaction systems...
  10. ncbi Evolving neural network optimization of cholesteryl ester separation by reversed-phase HPLC
    Michael A Jansen
    Department of Biological Sciences, California State University Los Angeles, Los Angeles, CA 90032, USA
    Anal Bioanal Chem 397:2367-74. 2010
    ....
  11. ncbi Reduced inorganic phosphorus in the natural environment: significance, speciation and determination
    Grady Hanrahan
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA 90032, USA
    Talanta 66:435-44. 2005
    ..This paper discusses the significance of reduced phosphorus in the natural environment, its speciation and methods of detection...
  12. ncbi Response surface examination of the relationship between experimental conditions and product distribution in electrophoretically mediated microanalysis
    Ruth E Montes
    Department of Chemistry, California Lutheran University, Thousand Oaks, CA, USA
    Electrophoresis 29:375-80. 2008
    ....
  13. ncbi Detection of geothermal phosphite using high-performance liquid chromatography
    Herbe Pech
    Department of Chemistry and Biochemistry, California State University, Los Angeles, California 90032, USA
    Environ Sci Technol 43:7671-5. 2009
    ..04 microM) and phosphate was measured at 1.06 +/- 0.36 microM. The presence of phosphite in the geothermal pool was confirmed using both chemical oxidation and ion chromatography/mass spectrometry...
  14. ncbi Design and development of a flow injection-capillary electrophoresis analyzer employing fiber optic detection
    Grady Hanrahan
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA 90032, USA
    J Capill Electrophor Microchip Technol 10:1-6. 2007
    ..Future directions in terms of instrument automation and incorporation into a microfluidic format are also discussed...
  15. ncbi Design and development of an automated flow injection instrument for the determination of arsenic species in natural waters
    Grady Hanrahan
    Department of Chemistry, California Lutheran University, 60 West Olsen Road, Thousand Oaks, California 91360 2787, USA
    Rev Sci Instrum 80:104101. 2009
    ..Spiked ultrapure water samples were analyzed and recoveries were found to be 97%-101% for As(III) and 95%-99% for As(V), respectively. Future directions in terms of automation, optimization, and field deployment are discussed...
  16. ncbi Implementation of chemometric methodology in ACE: predictive investigation of protein-ligand binding
    Grady Hanrahan
    Department of Chemistry and Biochemistry, California State University, Los Angeles, CA 90032, USA
    Electrophoresis 28:2853-60. 2007
    ..The adequacy of the model was validated by experimental runs with the predicted model solution (capillary length = 47 cm, voltage = 11 kV, injection time = 0.01 min) presented in detail as an example...