Chem 551 :Instrumental Methods of Analysis - PowerPoint PPT Presentation

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Chem 551 :Instrumental Methods of Analysis

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Title: Chem 551 :Instrumental Methods of Analysis


1
Chem 551 Instrumental Methods of Analysis
  • Ralph Allen

2
Instrumental Analysis
  • There is much more than the Instrument
  • You are the analyst

3
Why are you taking this class?
  • What do you want to learn?
  • What analytical techniques do you want to study?

4
(http//www.people.virginia.edu/roa2s/chem_551/ho
me.html).
5
Get help on the web
  • http//www.virginia.edu/enhealth

6
You dont need a course to tell you how to run an
instrument
  • They are all different and change
  • Most of you wont be analysts
  • We will talk about experimental design
  • Learn about the choices available and the basics
    of techniques

7
Analytical Chemistry
  • art of recognizing different substances
    determining their constituents, takes a prominent
    position among the applications of science, since
    the questions it enables us to answer arise
    wherever chemical processes are present.
  • 1894 Wilhelm Ostwald

8
Questions to ask???
  • Why? Is sample representative
  • What is host matrix?
  • Impurities to be measured and approximate
    concentrations
  • Range of quantities expected
  • Precision accuracy required

9
More things to ask.
  • Where is analysis to be conducted
  • How many samples (per day total)
  • How soon are results needed
  • Are there standards (analytical QC)
  • Long term reliability
  • Form of answer required
  • Special facilities available

10
The Analytical Approach
  • Identify the problem.what do you want to know
  • What instrumental methods can provide necessary
    results
  • Which method is best
  • What do the results mean

11
What you want to learn
  • analytical process and skills
  • tools for research
  • solve practical problems
  • medical uses (including DNA)
  • how instruments work and general concepts
  • environmental and forensic applications
  • new advances

12
Techniques
  • mass spectrometry
  • NMR
  • spectroscopy (UV, IR, AA)
  • chromatography (GC, HPLC)
  • measure radioactivity, crystallography, PCR, gas
    phase analysis

13
Off flavor cake mix (10)
  • Send it off for analysis
  • Do simple extractions
  • Separation and identification by GC/MS
  • Over 100 peaks but problem was in a valley
    between peaks (compare)
  • Iodocresol at ppt
  • Eliminate iodized salt that reacted with food
    coloring (creosolmethyl phenol)

14
Pan Am 10385 of the Maid of the
Searecovered16,000 pieces of
propertyrecovered
15
Reason to understand how an instrument works
  • What results can be obtained
  • What kind of materials can be characterized
  • Where can errors arise

16
Design of instrumentation to probe a material
  • Signal Generation-sample excitation
  • Input transducer-detection of analytical signal
  • Signal modifier-separation of signals or
    amplification
  • Output transducer-translation interpretation

17
Characterization of Properties
  • chemical state
  • structure
  • orientation
  • interactions
  • general properties

18
Molecular Methods
  • macro Vs micro
  • pure samples Vs mixtures
  • qualitative Vs quantitative
  • surface Vs bulk
  • large molecules (polymers, biomolecules)

19
Molecular SpectroscopyIR, UV-Vis, MS, NMR
  • What are interactions with radiation
  • Means of excitation (light sources)
  • Separation of signals (dispersion)
  • Detection (heat, excitation, ionization)
  • Interpretation (qualitative easier than
    quantitative)

20
Elemental Analysis
  • bulk, micro, contamination (matrix)
  • matrix effects
  • qualitative Vs quantitative
  • complete or specific element
  • chemical state

21
Extreme trace elemental analysis
  • Direct instrumental determination - multi-element
    - direct excitation---should be least expensive
  • These are relative physical methods requiring
    appropriate standards systematic errors like
    spectral interferences occur
  • NAA, XRF, sputtered neutral MS

22
Extreme trace elemental analysis
  • Multi-stage procedures --- sample separation
    and preparation before quantitation
  • Standards are less of a problem
  • Time consuming subject to losses or
    contamination
  • Chromatography coupled with analysis

23
Comparing Methods
  • Detection limits
  • Dynamic range
  • Interferences
  • Generality
  • Simplicity

24
Your ideas
  • cost
  • sensitivity
  • accuracy/precision
  • time
  • compatibility
  • conditions
  • availability

25
Statisticsare no substitute for judgment
  • Common sense put into a mathematical form
  • Analysis of results - accuracy precision
  • Elimination of errors
  • Detection limits - signal to noise
  • Chemometrics - what do the results mean

26
There is a difference - you
need both
27
Errors in Analytical Measurements
  • Determinant - unidirectional errors ascribable to
    a definite cause
  • Indeterminate - uncertainties from unknown or
    uncontrollable factors - generally random -
    noise

28
Systematic errors - sources
  • Inhomogeneity - handling storage
  • Contamination - sampling to reagents
  • Adsorption on surface or volatilization
  • Unwanted or incomplete chemical reactions
  • Matrix effects on generation of analytical signal
  • Incorrect standards or calibration

29
Recognition of systematic errors
  • Reproducibility gives NO information on accuracy
    (high std. dev. hints at problems)
  • Make comparisons with other methods
  • Check standard reference materials (available
    from NIST)
  • Run blanks (be sure background is small and
    reproducible)

30
Errors in Analytical Measurements
  • Determinant - unidirectional errors ascribable to
    a definite cause
  • Indeterminate - uncertainties from unknown or
    uncontrollable factors - generally random -
    noise

31
Gaussian Distribution
  • Random fluctuations
  • Bell shaped curve
  • Mean and standard deviation
  • 1sigma 68.3, 2sigma 95.5, 3sigma 99.7
  • Absolute Vs Relative standard deviation
  • Accuracy and its relationship to the measured mean

32
Limit of detection
  • signal - output measured as difference between
    sample and blank (averages)
  • noise - std dev of the fluctuations of the
    instrument output with a blank
  • S/N 3 for limit of detection
  • S/N 10 for limit of quantitation

33
Sources of Noise
  • Environmental - 60 Hz electrical, vibrational
    (shield)
  • Johnson (thermal) noise - random fluctuations in
    charge carriers (cool)
  • Shot noise - pulses
  • 1/f (flicker) noise - important at low frequencies

34
Noise Reduction
  • Avoid (cool, shield, etc.)
  • Electronically filter
  • Average
  • Mathematical smoothing
  • Fourier transform

35
Single channel scanning
  • 3 objects each measured 3 times (averaged to
    reduce noise)
  • Balance requires 9 measurements
  • Monochromator - broad band source to dispersive
    device and then wavelengths are selected one at a
    time
  • Increase intensity by scanning slower or
    increasing bandpass

36
Multidetector Spectrometer
  • Get 3 balances and measure all 3 samples
    simultaneously on separate balances
  • Can make measurements in 1/3 time or measure 3
    times as much (noise is random and proportional
    to square root of number of measurements)
  • Use of diode arrays instead of slits

37
Signal Transformation
  • Double pan balance - mesure multiple objects
    simultaneously measure linear combinations
  • y(1)X(1) X(2)
  • y(2)X(1) X(3)
  • y(3)X(2) X(3)
  • 3 equations 3 unknowns (each object measured
    twice in half the time)

38
Hadamard multiplexing (transform)
  • Use one detector and replace the slit with a mask
    of slits at certain locations (n)- some are open
    others closed (2n-1 slits in mask with just
    more than half open)
  • For n3 a mask of 11011 (1 is open) can be slid
    to give 110, 101, 011
  • Linear equations improve S/N

39
Fourier advantage
  • Put all weights on 2 pan balance at the same time
  • Change what is measured (not weights but angle of
    pointer showing difference in the 2 pans)
  • Z(1)X(1) X(2) - X(3)
  • Z(2)X(1) - X(2) X(3)
  • Z(3) -X(1) X(2) X(3)

40
h(t) a cos 2 pi freq. x time
  • sum cos(2pi((f1f2)/2)t
  • beat or difference cos(2pi((f1-f2)/2)t
  • 5104-sine-wa

41
Fourier transform - beat frequency (time domain)
  • We can sample the time domain at N equally spaced
    time intervals
  • Represent each measurement in terms of a series
    of frequencies
  • Decoding procedure to decode N algebraic
    equations
  • Fourier transform requires a computer

42
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43
An analytical checklist
  • Have the analytical tasks and goals been defined?
  • Have issues of sampling been defined?(eg. size,
    homogeneity, composites)
  • Are there facilities for sample storage (custody)
    available and is there a means of identification
    and retreival)

44
Checklist 2
  • Is pretreatment (eg. extraction, dissolution)
    necessary? (facilities, equipment, reagents)
  • Is the sample analyzed representative? (mixing,
    weighing, size)
  • Are the instruments appropriate for the required
    measurements? (sensitivity, sample state)

45
Checklist 3
  • What is the time required for each analysis?
  • What expertise is needed to prepare, analyze, and
    interpret?
  • How is data captured, calculated, presented, and
    stored for future comparisons?
  • Are there appropriate quality controls?
  • Define time line for tasks and analysis and then
    calculate overall costs

46
Attenuated Internal Reflection
  • Surface analysis
  • Limited by 75 energy loss
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