METODOS INSTRUMENTALES INTRODUCCIÓN. Classification of Analytical Methods Qualitative instrumental analysis is that measured property – indicates presence.

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Presentation transcript:

METODOS INSTRUMENTALES INTRODUCCIÓN

Classification of Analytical Methods Qualitative instrumental analysis is that measured property – indicates presence of analyte in matrix Quantitative instrumental analysis is that magnitude of measured – property is proportional to concentration of analyte in matrix

Classical Qualitative - identification by color, indicators, boiling points, odors Quantitative - mass or volume (e.g. gravimetric, volumetric)

Instrumental Qualitative - chromatography, electrophoresis and identification by measuring physical property (e.g. spectroscopy, electrode potential) Quantitative - measuring property and determining relationship to concentration (e.g. spectrophotometry, mass spectrometry) Often, same instrumental method used for qualitative and quantitative analysis

Types of Instrumental Methods Property Example Method Radiation emission Emission spectroscopy - fluorescence, phosphorescence, luminescence Radiation absorption Absorption spectroscopy - spectrophotometry, photometry, nuclear magnetic resonance, electron spin resonance Radiation scattering Turbidity, Raman Radiation refraction Refractometry, interferometry Radiation diffraction X-ray, electron

Radiation rotation Polarimetry, circular dichroism Electrical potential Potentiometry Electrical charge Coulometry Electrical current Voltammetry - amperometry, polarography Electrical resistance Conductometry Mass Gravimetry Mass-to-charge ratio Mass spectrometry Rate of reaction Stopped flow, flow injection analysis Thermal Thermal gravimetry, calorimetry Radioactivity Activation, isotope dilution

DATA Time - vary with time (frequency, phase, pulse width) Analog - continuously variable magnitude (current, voltage, charge) Digital - discrete values (count, serial, parallel, number*)

Performance Characteristics How to choose an analytical method? How good is measurement? How reproducible? - Precision How close to true value? - Accuracy/Bias How small a difference can be measured? - Sensitivity What range of amounts? - Dynamic Range How much interference? - Selectivity