Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Framework for multivariate selectivity analysis, part II: experimental applications.

Trent D Ridder1, Christopher D Brown, Benjamin J Ver Steeg

  • 1InLight Solutions, Inc., 800 Bradbury SE, Albuquerque, New Mexico 87106, USA. ridder@inlightsolutions.com

Applied Spectroscopy
|August 2, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Expanded chromatin accessibility mapping explains genetic variation associated with complex traits in liver.

American journal of human genetics·2026
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Alzheimer's Imaging Consortium.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Developing Topics.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

A deep dive into statistical modeling of RNA splicing QTLs reveals variants that explain neurodegenerative disease.

American journal of human genetics·2025
Same author

Expanded Chromatin Accessibility Mapping Explains Genetic Variation Associated with Complex Traits in Liver.

medRxiv : the preprint server for health sciences·2025
Same journal

EXPRESS: Deterministic Compressed Sensing in Time-Domain Spectroscopy.

Applied spectroscopy·2026
Same journal

EXPRESS: Multi-Parameter Wavelength Characterization of Array Spectrometers Under Near-Limit Sampling Conditions.

Applied spectroscopy·2026
Same journal

EXPRESS: A Validated Reference Database for Twentieth-Century Cd-Based Pigments: Integrated Structural and Compositional Characterization.

Applied spectroscopy·2026
Same journal

EXPRESS: Two-Trace Two-Dimensional (2T2D-COS) in the Analysis of Brain Tissue Sample Preparation Method.

Applied spectroscopy·2026
Same journal

EXPRESS: Simplified Protocol for Analyzing Polarization Properties of Scanning Tunneling Microscope (STM) Light Emission Spectra at an Oblique Angle.

Applied spectroscopy·2026
Same journal

EXPRESS: Monitoring a Polyurethane Synthesis by Fiber-Coupled Attenuated Total Reflection Fourier Transform Infrared Spectroscopy and Multivariate Curve Resolution-Alternating Least Squares.

Applied spectroscopy·2026
See all related articles

This study validates a multivariate selectivity framework using near-infrared data. The framework enhances calibration models for applications like noninvasive ethanol monitoring in humans, improving analytical method characterization.

Area of Science:

  • Analytical Chemistry
  • Biomedical Engineering
  • Spectroscopy

Background:

  • A previously introduced framework for multivariate selectivity provides a calculable and experimentally tractable method.
  • This part applies the framework to analyze both in vitro and in vivo near-infrared (NIR) experimental data.

Purpose of the Study:

  • To employ the proposed selectivity framework for analyzing experimental data.
  • To compare methods for estimating selectivity using in vitro data with expanded interferant ranges.
  • To demonstrate the framework's utility in complex in vivo applications, such as noninvasive human ethanol measurement.

Main Methods:

  • Utilized two in vitro data sets to compare selectivity estimation methods.
  • Applied the selectivity framework to in vivo near-infrared spectroscopy (NIRS) data for human ethanol monitoring.

Related Experiment Videos

  • Analyzed calibration model sensitivity, selectivity, and concentration correlations.

    • Main Results:

    • In vitro data demonstrated the benefits of validation data with expanded interferant concentration ranges.
    • Experimentally estimated selectivities provided insights into calibration model properties.
    • The framework allowed systematic interrogation of in vivo calibration model performance.
    • Variance components of the total MSEP were identified, aiding method development.

    Conclusions:

    • The proposed selectivity framework is effective for analyzing both in vitro and in vivo NIR data.
    • The framework offers valuable insights into calibration model properties and performance.
    • It facilitates systematic interrogation and characterization of analytical methods, particularly for noninvasive measurements.