Analytical Analysis Flashcards

1
Q

Step 1 in an Analytical Analysis

A

Formulating a Question
Asking a meaningful question. What specifically do you want to know?
What are we analyzing for? What kind of sample is it?
How much silver is in a trainload of ore? (accuracy)
Did an athlete cheat? vs. how much clenbuterol is present? (sensitivity, specificity)

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2
Q

Step 2 in an Analytical Analysis

A

Selecting analytical procedure
What analytical method will we use? Availability, cost, sensitivity, sample volume
Literature search method, or make a new method.
Is a Regulatory method available and needed?

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3
Q

Step 3 in an Analytical Analysis

A

Sampling
How do we get a “representative sample” to analyze; “Garbage in – Garbage out”.
Protocol, selection, homogenization, containers, contamination, loss

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4
Q

Step 4 in an Analytical Analysis

A

Sample preparation or pretreatment:
Convert sample to be suitable for analysis
Copper Lab: conversion of solid into liquid with HNO3
Fluoride Lab: buffer pH 5 so fluoride as F- not un-dissociated HF
Total Salt Lab: convert Mn+ into nH+
for titration with a base
Eliminate interferences from sample matrix
Copper Lab: add NH4HF2
to complex Fe3+ leaving Cu2+ for analysis
Fluoride Lab: add EDTA in buffer solution to complex metals
Concentrate sample
Trace Cu2+ could be concentrated using cation exchange resin

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5
Q

Step 5 in an Analytical Analysis

A

Analysis/Measurement
Perform analysis of the analyte with replicate aliquot (portion) measurements
Allows assessment of uncertainty and reliability
Standardize method - Quality control

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6
Q

Step 6 in an Analytical Analysis

A

Calculation and Evaluation of Results
Clearly written report of results and observations
Check for calculation errors, evaluate quality of results (Qtest, statistics)
Decide to repeat if need be

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7
Q

Step 7 in an Analytical Analysis

A

Drawing Conclusions
Usually done by the person asking for the information
Interpretation of the statistical significance of result to answer the question

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8
Q

The Lab Notebook

A

The Lab Notebook – understanding what you did and observed so it can be repeated

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9
Q

Why sample?

A

– Resources (time, money) and workload
– Gives results of whole with known accuracy and error
Analysis is meaningless unless you begin with meaningful sample

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10
Q

Lot

A

total material from which sample taken

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11
Q

Sample

A

– a smaller, representative, collection of units from the lot used to determine
something about the lot

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12
Q

Sampling

A

process of selecting representative material to analyze from the lot – can be the largest source of uncertainty.
Sample must be representative

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13
Q

Representative Sample

A

Sampling is about asking how to get an representative sample to analyze

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14
Q

Homogeneous

A
having same composition everywhere
– [Li] in salt brine pool
Construct representative sample
divide into even 10 x 10 cm sections
random select 100 of 20,000 sections
sampling 0.5% of total
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15
Q

Heterogeneous

A
having non uniform composition
– [Li] in salt flats
Construct representative sample
random samples based on %
select 100 of 20,000 based on location
66 from A, 14 from B, 20 from C
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16
Q

Judgemental Sampling

A

– professional/expert judgement based on prior information

– used for screening purposes, cheap and easy

17
Q

Random sampling

A

– arbitrary collection, same probability any sample unit picked from lot
– space and time non-critical, assumed homogenous samples,
small sample areas

18
Q

Systematic sampling

A

– grid overlaid on lot and random grid samples picked

– uniform distribution over space and time; best for large sample areas

19
Q

Stratified random sampling

A

– lot divided into specific zones based on homogenous characteristic
– random sampling then done per zone
– can create composite sample or more accurately measure different spaces

20
Q

Transect sampling

A

– variation of systematic – line drawn over sample

– sample along regular interval of transect line

21
Q

Sampling standard deviation for many samplings

A

S=npq^-2
p = probability of grabbing a particle of A
q = probability of grabbing a particle of B

22
Q

Statistics of Sampling

A

Sampling uncertainty due to random nature
of drawing particles from the mixture.
To minimize sampling error we need to
increase sample size