Quantitation of mixtures from two-dimensional data sets using orthonormal functions
Related Experiment Video
Updated: Nov 4, 2026

Quantification of Orofacial Phenotypes in Xenopus
Published on: November 6, 2014
1Analytical Development Laboratories, Wellcome Foundation Limited, Dartford, Kent, UK.
Abstract:
The use of orthogonal polynomials in mixture analysis has been extended to two-dimensional data sets. Orthonormal two-dimensional functions, constructed from Legendre polynomials, are fitted to the standard and test data sets. Weighted combinations of coefficients are used to correct for interferences from other components whilst quantifying the analyte of interest. The general procedure can be extended to data sets of higher dimensionality or to different orthogonal basis sets.
Related Concept Videos
Two-Dimensional (2D) NMR: Overview
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse.
5-Number Summary
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
2D NMR: Overview of Homonuclear Correlation Techniques
COSY90 is the standard two-dimensional (2D) COSY experiment that...
Functions of Three or More Variables
Newman Projections
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as conformers.
2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)
