Primer on multivariate calibration

Journal Article · Mon Aug 01 04:00:00 EDT 1994 · Analytical Chemistry (Washington); (United States)

DOI:https://doi.org/10.1021/ac00087a722· OSTI ID:7179644

Thomas, E V ^[1]

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1. Sandia National Lab., Albuquerque, NM (United States)

In analytical chemistry, calibration is the procedure that relates instrumental measurements to an analyte of interest. Typically, instrumental measurements are obtained from specimens in which the amount (or level) of the analyte has been determined by some independent and inherently accurate assay (e.g., wet chemistry). Together, the instrumental measurements and results from the independent assays are used to construct a model that relates the analyte level to the instrumental measurements. The advent of high-speed digital computers has greatly increased data acquisition and analysis capabilities and has provided the analytical chemist with opportunities to use many measurements - perhaps hundreds - for calibrating an instrument (e.g., absorbances at multiple wave-lengths). To take advantage of this technology, however, new methods (i.e., multivariate calibration methods) were needed for analyzing and modeling the experimental data. The purpose of this report is to introduce several evolving multivariate calibration methods and to present some important issues regarding their use. 30 refs., 7 figs.

• OSTI ID: 7179644
• Journal Information: Analytical Chemistry (Washington); (United States), Journal Name: Analytical Chemistry (Washington); (United States) Vol. 66:15; ISSN 0003-2700; ISSN ANCHAM
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
400102* -- Chemical & Spectral Procedures
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
990301 -- Information Handling-- Data Handling-- (1992-)
CALIBRATION
CHEMICAL ANALYSIS
COMPUTERS
DATA ACQUISITION SYSTEMS
DATA ANALYSIS
MATHEMATICS
MEASURING INSTRUMENTS
MULTIVARIATE ANALYSIS
SPECTROMETERS
SPECTROPHOTOMETERS
STATISTICS