Back to search

Article

An empirical investigation of deviations from the Beer-Lambert law in near-infrared spectroscopy: A case study of lactate in aqueous solutions, serum, blood and tissue

2021-02-15

Abstract excerpt

The linear relationship between optical absorbance and the concentration of analytes -as postulated by the Beer-Lambert law- is one of the fundamental assumptions that much of the optical spectroscopy literature is explicitly or implicitly based upon. The common use of linear regression models such as principal component regression and partial least squares exemplifies how the linearity assumption is upheld in pra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3ea35950-bb45-5089-847d-f536236f1259
DOI
10.21203/rs.3.rs-192224/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An empirical investigation of deviations from the Beer-Lambert law in near-infrared spectroscopy: A case study of lactate in aqueous solutions, serum, blood and tissueDOI 10.21203/rs.3.rs-192224/v1
Advanced Optical Techniques for Non-Invasive Glucose Monitoring: Optical Coherence Tomography, Optical Polarimetry, NIR/MIR Spectroscopy, and Surface Plasmon ResonanceSemantic proximity
Optical Coherence Tomography and Optical Polarimetry for Non-Invasive Glucose Monitoring: Principles, Recent Advances, Research Gaps, and Future DirectionsSemantic proximity
The application of Raman spectroscopy and chemometric methods for analysis healthy blood and blood with BRCA mutationSemantic proximity
Real-time Continuous Measurement of Lactate through a Minimally-invasive Microneedle Biosensor: a Phase I Clinical StudySemantic proximity
Invited review: A comprehensive review of visible and near-infrared spectroscopy for predicting the chemical composition of cheese.Semantic proximity
Key native fluorophores analysis of human breast cancer tissues using Gram–Schmidt subspace methodSemantic proximity
Probabilistic quotient’s work & pharmacokinetics’ contribution: countering size effect in metabolic time series measurementsSemantic proximity
Experimental Investigation of Wave Propagation in Bio-Modified Nonlocal Couple-Stress Thermoelastic Media with Viscosity, Phase-Lag Thermal Diffusion, and Microstructural EffectsSemantic proximity
Spectral Organ Fingerprints For Machine Learning-Based Intraoperative Tissue Classification With Hyperspectral ImagingSemantic proximity
In vivo optimization of the experimental conditions for the non-invasive optical assessment of breast density.Semantic proximity
Mutation Endmember Library Sparse Mixed Abundance Estimation Model for Glioma Margin Determination with Raman Spectroscopy.Semantic proximity
A Machine Learning-based approach for Simultaneous Detection of Interfering Analytes in Electrochemical NanobiosensorsSemantic proximity
Select a neighboring publication to make it the new centre.