General Introduction

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General Introduction
Classical
Analytical methods
Instrumental
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Basic Concepts
Important topics in this lecture
Basic definitions Transducer, data domain, .
Review of Statistics (chm3120) Performance
characteristics of instruments Statistical
methods Calibration of instruments Standard
addition method
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Basics of Instrumental Analysis
Stimulus
Response
Sample
Energy Source
Analytical Information
Data domain of Transduced information
Information processor
Input transducer
Readout
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Data Domains
A data domains is one of the many modes in which
data may be encoded.
Non-electric domains Electric domains
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Analog domain Time domain Digital
domain
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Selecting Analytical Instruments In order to
select an analytical method intelligently, it is
essential to define clearly the nature of the
analytical problem. Such a definition requires
answers to the following questions 1. What
accuracy is required? 2. How much sample is
available? 3. What is the concentration range of
the analyte? 4. What components of the sample
will cause interference? 5. What are the
physical and chemical properties of the sample
matrix? 6. How many samples are to be analyzed?
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Review of Statistics (chm3120) I
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Review of Statistics (chm3120) II
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Review of Statistics (chm3120) III
Method of Least Squares
The method of least squares assumes That the
errors in the y values are substantially greater
than the errors in the x values.
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Review of Statistics (chm3120) IV
Precision and Accuracy
Not precise But accurate
Not precise Not accurate
Precise And accurate
Precise But not accurate
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Absolute standard deviation
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Review Chapter 1 and appendix A
Preview Ch. 5 signal/noise
Homework
5.1, 5.2, 5.5, 5.6, 5.7, 5.8, 5.9, 5. 11