Chapter 3. Sampling Flashcards

1
Q

The analytical process

A
  1. select a method
  2. acquire and process the sample
  3. dissolve the sample in a suitable solvent
  4. measure a property of the analyte
  5. calculate the results
  6. estimate the reliability of the results
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2
Q

The way you perform an analysis
will depend on your experience,
the equipment available, the
cost, and the time involved

A

selecting a method

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3
Q

Factors of selecting a method:

A
  1. sample type
  2. size of sample
  3. sample preparation needed
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4
Q

we can’t analyze the whole thing

A

obtaining a representative sample

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5
Q

Factors in obtaining a representative sample:

A
  1. sample type/homogeneity/size
  2. sampling statistic/errors
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6
Q

consists of several
portions of the material
to be tested

A

gross sample

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7
Q

small portion of
gross sample, made
homogeneous

A

laboratory sample

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8
Q

actually analyzed

A

analysis sample

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9
Q

a ‘portion of material selected
from a larger quantity of material

❖ physical state (gas, liquid or solid)
❖ homogeneous or heterogeneous
❖ primary sample, laboratory
sample, test sample

A

sample

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10
Q

1
types of sample (according to sampling plan)

A
  1. representative sample
  2. random sample
  3. selective sample
  4. composite sample
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11
Q

a sample that is typical of the
parent material for the characteristic under inspection

A

representative sample

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12
Q

4 types of representative sample

A
  1. homogeneous
  2. heterogeneous
  3. static (contained) system
  4. dynamic system
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13
Q

e.g. a vegetable oil at 40◦C (at this temperature the oil is liquid); a filtered aqueous solution.

A

homogeneous

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14
Q

e.g. palm oil at 15◦C (this temperature is below the melting
point of the oil); a sample of breakfast cereal, such as
muesli.

A

heterogenous

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15
Q

the composition of the parent material is permanent with
respect to position in space and stable over the time of
sampling and testing

▸ e.g. oil in a drum; tins of fruit in a warehouse

A

static (contained) system

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16
Q

the parent material is changing with respect to time

▸ removal of a portion at any instant represents only a ‘snapshot’ of
that moment in time and in that particular location.

▸ e.g. unsaturated and saturated oils being continuously blended;
estuarine water, where the salinity is changing over time

A

dynamic system

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17
Q

a sample deliberately chosen by
using a sampling plan that screens- out materials with certain characteristics and/or selects only
material with other relevant characteristics

A

selective sample (directed/focused sample)

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18
Q

Examples of selective sample:

A
  1. In food analysis, it may be necessary to locate a
    specific adulterated portion of a lot, undiluted by
    perfectly good material.
  2. Rodent contamination of flour by hair or urine.
  3. Toxic gases in a factory atmosphere where the total
    level may be acceptable but a localized sample may
    contain a harmful concentration.
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19
Q

a sample is selected by a random process to eliminate
problems of bias in selection
and/or to provide a basis for
statistical interpretation of
measurement data.

A

random sample

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20
Q

3 types of random sampling:

A
  1. simple random sampling
  2. stratified random sampling
  3. systematic sampling
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21
Q

Any sample has an
equal chance of
selection

A

simple random sampling

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22
Q

the lot is subdivided/
stratified and a simple
random sample selected
from each stratum.

A

stratified random sampling

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23
Q

The first sample is
selected at random and then the subsequent
samples are taken
according to a previously
arranged interval,

e.g.
every 5th, 10th or
whatever is appropriate

A

systematic sampling

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24
Q

consists of two or more portions of
materials (collected at the same
time) selected so as to represent
the material being investigated

taken in proportion to the amount
of the material that they represent

A

composite sample

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25
review and practice how to identify the appropriate type of sample
26
2 Obtaining a representative sample
We can’t analyze the whole thing Factors ▸ Sample type/ homogeneity/ size ▸ Sampling statistics/ errors
27
study the sampling and analytical operations in ppt
28
can take a number of forms (a single pile of grain, soil present in an area of contaminated land or a shipload of coal. - not in the form of separate permanently identifiable units.
bulk materials
29
comprised of identifiable units, which may be assigned number.
packaged goods
30
bulk materials that are partially packaged into smaller units, such as in bags or drums.
segments
31
(for both bulk materials and packaged goods) - a quantity of material transferred on one occasion and covered by a single set of shipping documents. - may be made up of one or more lots
consignment
32
a quantity of material which is assumed to represent a single population for sampling purposes - may consist of one or more batches
lot
33
a quantity of material which is known or assumed to have been produced under uniform conditions.
batch
34
- portions of the material obtained from the lot/batch by using a sampling device - often combined to produce a primary or gross sample
increments
35
portion of material delivered to the laboratory for analysis - often obtained from the primary or composite sample by a series of division and reduction processes (e.g. coning and quartering, riffling)
laboratory sample
36
intermediate sample that the analyst obtains from the laboratory sample (directly for homogenous samples, or
test/analytical sample
37
- the quantity of material that is actually submitted for analysis, taken from the test sample - has to go through a number of treatment steps before the final aliquot is obtained
test portion/analytical portion
38
describes when, where and how samples are to be taken. IUPAC: A predetermined procedure for the selection, withdrawal, preservation, transportation and preparation of the portions to be removed from a population as samples.
Sampling plan
39
may be laid down in national or international standards or in a set of guidelines - Codex Alimentarius Commission general guidelines on sampling - sampling procedures for monitoring water quality (e.g. ISO 5667-1) - sampling procedures for inspection by attributes (ISO 2859 series of standards) - sampling procedures for inspection by variables (ISO 3951)
Sampling plan
40
should specify the number and size of primary samples to be obtained from the lot/batch ▸ should include the number, location and size of the portions to be taken, and instructions for the extent of compositing and reduction of these portions to produce the laboratory sample ▸ should address whether the process of sampling should be a ‘one-off’ or whether it should be repeated and if so, how often
Sampling plan
41
sampling plan with regular requirement for analysis
sampling scheme/sampling schedule
42
describes a combination of procedures where several related sampling schemes are combined
sampling programme
43
...poor sampling may result in the sample submitted to the laboratory for analysis being unrepresentative of the bulk material from which it was taken. This could result in substandard batches of material being accepted or perfectly good batches being rejected. In environmental analysis, poor sampling may result in invalid decisions being made about how to treat an area of contaminated land. This, in turn, could impact on public health.
44
read on the legal and statutory requirements
45
the process of selecting a portion of material, in some manner, to represent or provide information about a larger body of material
sampling
46
ISO/IEC 17025: A defined procedure whereby a part of a substance, material or product is taken to provide for testing or calibration a representative sample of the whole. Sampling may also be required by the appropriate specification for which the substance, material or product is to be tested or calibrated.
sampling
47
▸ allows a statistical evaluation to be applied to the data. ▸ used when a representative sample is required.
probability sampling (random sampling)
48
3 Types of Probability Sampling
1. simple random sampling 2. stratified sampling 3. systematic sampling
49
involves taking increments from the bulk material in such a way that any portion of the bulk has an equal probability of being sampled. used when little information is available about the material that is being sampled, or sampling from a batch or consignment of manufactured product for quality control purposes
simple random sampling
50
▸ requires the consignment to be subdivided into groups (strata) according to predefined criteria. A simple random sampling plan is then applied to each stratum. The number of samples taken from each stratum is proportional to its size (e.g. weight or volume). ▸ aims to produce a more representative sample than would be obtained by simple random sampling.
stratified sampling
51
▸ most commonly used sampling technique. ▸ involves taking increments from the bulk material at predetermined intervals, as defined by the sampling plan.
systematic sampling
52
▸ used when a representative sample cannot be collected or is not appropriate ▸ the correct sampling approach to use to produce a selective sample
non-probability sampling
53
3 Types of Non- Probability Sampling
1. judgement sampling 2. quota sampling 3. convenience sampling
54
▸ use of knowledge about the material to be sampled, and the reason for sampling, to select specific samples
judgement sampling
55
▸ requires the consignment to be subdivided into groups (as for stratified sampling) then judgement sampling is used to select samples from each group
quota sampling
56
▸ involves selecting samples on the basis of availability and/or accessibility.
convenience sampling
57
▸ involves the taking of a sample from material which does not consist of discrete, identifiable or constant units ▸ bulk material may be gaseous, liquid or solid.
bulk sampling
58
▸ involves the application of a predetermined sampling plan to decide whether a batch of goods meets the defined criteria for acceptance
acceptance sampling
59
aims to see that the customer gets the quality required, while remembering that financial resources are limited and that the cost of the article must reflect the cost of inspection, as well as the cost of production.
acceptance sampling
60
the item in the batch of product either conforms or not. The number of nonconformities in the batch is counted and if this reaches a predetermined figure, the batch is rejected.
by attributes
61
the characteristic of interest is measured on a continuous scale. If the average meets a predetermined value and the variation in the characteristic being measured is within an acceptable standard deviation, the batch is accepted.
by variables
62
read on Example: Cornflakes are sold in packets of 500 g and watch youtube video on sampling
63
study schematic diagram of the typical measurement process, the uncertainty and decision chain, examples of measurement objectives, some sources of uncertainty in sampling and sample preparation, fish bone diagram of possible sources contributing to the uncertainty, uncertainty contributions divided into random and systematic effects
64
including sample splitting/preparation and handling (combined contribution of random effects)
analytical variability
65
combined effect of bias sources
analytical bias
66
dominated by heterogeneity and operator variations
sampling variability
67
combined effect of selection bias, operator bias, etc.
sampling bias
68
read on "How can knowledge on the type of sampling error help in designing the sampling?"
69
write in flashcard the sampling uncertainty formulas
70
study Example of calculating the standard deviation for sampling and write on notebook
71
study the Examples of tools for the estimation of uncertainty contributions