A Note About this Web Page
SIMPLIFIED
QUALITY CONTROL
AND QUALITY ASSURANCE SAMPLES
BLANKS,
CALIBRATION CHECK,
(CALIBRATION CHECK SAMPLES), METHOD BALNKS, MATRIX SPIKES, SPIKE
RECOVERY, AND
DUPLICATE CALCULATIONS EXPLAINED
INFORMATION
PRESENTED FOR
THE BENEFIT OF STUDENTS ASPIRING TO WORK IN THE ENVIRONMENTAL TESTING
FIELD AND
ALL OTHERS WHO NEED TO LEARN HOW TO DO BLANKS, SPIKES, MATRIX SPIKES,
AND OTHER
TYPES OF QUALITY CONTROL / QUALITY ASSURANCE (QA/QC) SAMPLES IN A
REGULATED
ENVIRONMENT. HOW TO CALCULATE
SPIKE RECOVERIES, ETC
SIMPLE
AND EASY
CALCULATIONS WITH EXAMPLES
This information posted by:
Kevin Olsen
Passaic River Institute
Montclair State University
Normal Ave
Montclair, NJ, 07043
OlsenK@Mail.Montclair.edu
Scope and Introduction
The purpose of a quality control sample
is to provide
independent verification that an entire analytical system is performing correctly.
Good instrument maintenance, proper calibration, analyst
training, sample preparation procedures, correctly made standards, and
good
quality reagents are some of the components that must all work together
if high
quality analytical results are to be generated. Quality
control samples can also be used to establish both
intra-laboratory or analyst-specific precision and bias.
This web page summarizes the requirements
for QA/QC
samples (other than duplicate analysis requirements) as set forth in
the New
Jersey Administrative Code Section 7:18.
Other states, the EPA, and various regulatory agencies have
similar
requirements.
QC/QC Samples are required for all
parameters run by the
laboratory. For multi-element or
multiple analyte determinations check samples must be prepared that
include all
of the analytes.
Types of Quality Control Samples
Blanks
Blank samples are used to confirm that the analytical system is
free of
analyte contamination or interfering substances.
There are several types of blanks and
these are explained
in the Frequency of Quality Control Sample Analysis section of this document.
The NJAC code has specific instructions for using the
results of method blanks. Please
refer to the section on Data Management in this SOP.
Calibration check standards,
Usually required for
metals analysis but may be used for any type of analytical system.
After creating a calibration curve, two
check standards
are used to verify the accuracy of the calibration.
One sample is
prepared so that it is at the low end of the concentration range
and the
other is at the high end.
Matrix Spikes Unlike the Quality
Control (QC) check
sample which uses an uncontaminated sample matrix, this type of sample
consists
of the original sample matrix to which has been added a known amount of
analyte.
Quality control (QC) check This type of sample us used to verify
the accuracy of the analytical system.
It consists of an uncontaminated sample matrix (water, soil,
sediment,
etc) to which as been added a known amount of analyte (a.k.a. the
spike). The spike is
prepared from a source
other than that of the calibration standards.
NOTE: When it is
necessary to prepare a check sample using reference standards using a
source other than that of the calibration standards, a
traceable standard from
another manufacturer should ideally be employed. If
however there is only one supplier of a certain standard,
then a reference standard from a different lot must be used.
Frequency of Quality Control Sample
Analysis
Each time a calibration curve is
prepared, at least one reagent
blank is used.
A reagent blank consists of the same solvent and dilution
scheme that were used to prepare the calibration standards but without
any
analytes.
Method blanks are
defined as a sample of the solvent system, reactants, dilution schemes
and
other preparation steps in the published method. This
blank does not contain any analytes.
At least one method blank for each run of
a sample
preparation method. If the number
of samples exceeds 20, an additional method blank for each batch of
twenty or
fewer samples is required. For example,
two method blanks would be required for 21 samples and three method
blanks
would be required for a set of 59 samples.
At least one quality control (QC)
check samples is analyzed for
each batch of real samples. If the number
of samples exceeds 20 per
calendar month then one is analyzed for each group of twenty samples.
At least one pair of matrix spike
samples are analyzed for each
batch of client samples. If the number of
samples exceeds 20 per
calendar month then one pair is analyzed for each group of twenty
samples.
Procedure for Laboratory Samples
Reagent blank
Using the same glassware, solvents, and dilution scheme as would be
used to
prepare calibration standards, prepare a solution as if it were a
calibration
standard but do not add any analyte.
Note that this procedure ideally would
give us a solution
in which the concentration of the analyte is zero.
But if there are any interfering substances in the solvents
or glassware, the results of this blank are not going to be zero.
Method blanks
Prepare this blank sample using the same glassware, solvent system,
reactants,
dilution schemes and other preparation steps through which an
analytical sample
is taken, but without adding any analytes.
This type of sample is not exactly
representative of the
sample matrix. For example,
suppose a procedure called for digestion of surface water with nitric
acid
followed by dilution. In this
instance, distilled water is substituted for surface water but the
procedure
for digestion and dilution would be the same as the real sample. In a case where a soil sample is acid
digested and then diluted, an empty digestion vessel is used but with
the same
quantities of acid and diluent as with the real sample.
The glassware, heating and cooling
regimes, and all other reagent additions are the same as would be used
with a real soil sample.
Quality control (QC) check samples Unlike the method blank, the quality
control check
sample must utilize uncontaminated sample matrix. The
amount of analyte added to this sample must be at the
low end of the anticipated concentration range.
This type of sample may be purchased
commercially. Certificates of analysis for
these
samples are required.
If a commercial sample is unavailable,
obtain a pure
representation of the sample matrix and add a known amount of analyte
to
it. The analytes added to this
sample must be reference standards from a source other than was used to
prepare
the calibration curve.
Clean samples of seawater, soil,
sediments, and other
matrices are available commercially.
After the addition of the known amount of analyte the sample
must be
completely and thoroughly mixed.
Example calculation:
Suppose we have a set of soil samples in
which we expect
to find 10 ppm of nitrates. We
would prepare a calibration curve from 1 to 20 ppm nitrate and now must
prepare
a QC check sample. Since we want
this sample to represent the lower end
of the concentration range, we decide to add a known amount of
nitrate
so that the final concentration is 5 ppm.
Suppose we anticipate processing 10 grams
of each real
sample. In that case we would
first weigh out 10 grams of the clean soil purchased from a scientific
supply
house.
Since the final concentration we want is
5 ppm, and parts
per million is defined as mg per kg:
(0.05 mg / 0.01 kg ) = 5 ppm
Note that we would need to weigh out less
than 1 mg of
nitrate. It would be extremely
difficult to weigh out such a small amount of anything!
Now suppose we had a commercially
prepared, and certified,
solution of nitrate at 10 ppm.
Since we need to add 0.05 mg of the nitrate ion to the clean
soil:
(10 mg / Liter) ( 0.005 Liters) = 0.05 mg
Note that we are working with units of
liters since the
definition of ppm when working with liquids is mg / liter.
Converting 0.005 liters to milliliters
we see that the all we have to do is pipette 5 ml of the solution into
the
clean soil. Of course the soil and
the solution must be mixed before we can use it.
Now suppose we do not have a commercially
prepared 10 ppm
nitrate solution. Remember we need
to have 10 mg of the nitrate ion in the
solution. So if we simply weighed
out 10 mg of KNO3 and
added it to
a liter of water, the actual concentration of the nitrate ion would be:
KNO3
= 101 grams per
mole.
NO3
= 62 grams per
mole
K = 39 grams per mole
39 / 62 = 0.61
or 61% nitrate in potassium nitrate
(10 mg KNO3)
(61% NO3) = 6.1 mg
To correct for the presence of the
potassium we need to go
through an additional calculation step
(16.4 mg KNO3)
(61%
NO3) = 10 mg NO3
Thus we need to weigh out 16.4 mg of KNO3 to obtain a 10 ppm concentration of
NO3.
After the analysis it is necessary to
calculate the
percent recovery of the QC check sample.
This is a simple procedure:
(Amount detected / Amount added to the
sample) X
100 = percent
recovery
In the example above we added enough
nitrate ion so that
the final concentration of the soil sample would be 10 ppm. Suppose we detected 9.5 ppm:
(9.5 / 10) X 100 = 95% recovery
Acceptable ranges of recoveries are
usually found in the
published methods.
To prepare a matrix spike sample it is necessary to start with an actual
sample from
the field. Since we do not know
the concentration of the analyte, we have to make an educated guess as
to the
amount of spike material so that it does not exceed the calibration
range.
Obtain two representative sub-samples
from one of the
field samples. The analytes added
to this sample must be reference standards from a source other than was
used to
prepare the calibration curve.
Example Calculation
As before let us imagine that we are going to analyze a 10 gram soil sample for nitrates. We could simply add 5 ml of the 10 ppm nitrate solution to 10 grams of the soil, mix, and analyze.
But suppose we have a 100 ml sample of river water and we need to spike it with a known amount of chloride ion so that the concentration is about 20 ppm above what is already present in the sample. We can buy a NIST traceable chloride standard solutions at concentrations ranging from 25 ppm to 1,000 ppm.
Generally speaking it is always best to use the most concentrated spiking solution possible and add the smallest practical volume. Here is why.
Suppose we want to use the 25 ppm standard. Ignoring for the moment the amount of chloride already in the river water sample, we see that if we have a 100 ml (or 0.1 liter) sample and want to have a concentration of 20 ppm:
(25 mg / liter) (0.80 liters) = (20 mg/liter) (0.1 liters)
In other words, we would have to add 80 ml of the 25 ppm standard to 20 ml of our sample to get a concentration of 20 ppm plus whatever chloride is already in the river water.
Now you can see that this is going to be an huge problem since we have diluted the river water by a factor of 5. Thus the river water sample will no longer be representative of the conditions found in the field.
Suppose instead of the 25 ppm standard we were to use the 1,000 ppm standard.
(1000 mg / liter) (0.002 liters) = (20 mg/liter) (0.1 liters)
0.002 liters = 2 ml
In this case we only needed to add 2 ml of the standard to bring the concentration of the chloride to 20 ppm above what is already present in the sample. You can see that the dilution to the river water is minimal.
In the next step we will compensate for the addition of the extra 2 mL on the final volume of the sample.
The percent recovery calculation is slightly more complicated.
Suppose that the concentration of the unspiked portions of the original river water sample was found to be 50 ppm and the spiked sample concentration was measured at 65 ppm.
Because we measured it, we know that in each of the 100 ml sub-samples of the original unspiked river water there is 50 mg per liter. We can determine the milligrams of chloride in the 100 ml sample thus:
( 50 mg / liter ) (0.1 liter) = 5 mg
Now lets turn out attention to the spiked sample.
We had 5 mg of chloride in the sample before we spiked it.
We added 0.002 liters of standard at a concentration of 1,000 mg/liter
(0.002 liters) (1,000 mg / liter) = 2 mg
So, we have a total of 7 mg of chloride in the solution:
5 mg + 2 mg = 7 mg
And we have a total of 102 ml of spiked river water
100 ml original sample + 2 ml spike = 102 ml
Thus the final concentration is:
7 mg / 0.102 liters = 68.6 ppm
In this case the percent recovery of our spiked sample is:
(65 ppm measured / 68.6 ppm theoretical) X 100 = 95% recovery
Note that in this calculation we have assumed that the results of the original analysis of the unspiked sample are 100% correct. If the true concentration of the original sample was not in fact 50 ppm, then all of our subsequent calculations will be off. The spiked sample results will tell us if this assumption was or was not correct.
The purpose of the matrix spike sample is to reveal the presence of interfering substances in the sample matrix.
Data Management
Method Blank
Calculate the concentration of the
analyte in the method
blank. If the method blank
result is greater than the detection limit or contributes greater than
10
percent of the total amount of analyte in the sample, then the source
of the
contamination must be investigated.
Once the source of the contamination is found, steps must be
taken to
eliminate it.
Whenever contamination is found, the data
must be
qualified in the final report.
This type of error is usually the result
of contaminated
reagents or dirty glassware. If
the sample is properly preserved and the holding times are not
exceeded, then
new measurements may be made with a new calibration curve, new
reagents, and
freshly cleaned glassware.
Some quality control regulations specify
that the final
report must indicate that the analysis was repeated because of
contamination. A detailed
explanation need not be made on the final report but the results of the
investigation must be kept on file.
The report must state that the original results were invalidated
only
after investigation and with full approval of the laboratory director. In other words, do not try to hide the
problem.
QC Check Sample
Calculate the percent recovery (%R) for
every analyte in
the QC sample. Compare the results
to the limits listed in the published method.
As with the method blank, then the source
of the low
recovery must be investigated.
Once the problem is found, steps must be taken to eliminate it.
This type of error is usually the result
of operator error
or an equipment problem. If the
sample is properly preserved and the holding times are not exceeded,
then new
measurements may be made.
Some quality control regulations specify
that the final
report must indicate that the analysis was repeated because of low
recoveries. A detailed explanation
need not be made on the final report, but the results of the
investigation must
be kept on file. The report must
state that the original results were invalidated only after
investigation and
with full approval of the laboratory director. As
before, dont try to hide the problem.
Whenever the published method does not
give limits the
laboratory must establish its own control limits. The
procedure is as follows:
Standard deviations must be calculated for n-1 degrees of freedom where n = the number of samples for all of the percent recovery and relative percent difference of the QC Check Samples and the Matrix Spike samples. Ongoing data for at least 10 quality control samples of both types must be used.
For parameters in EPA methods in sections SDW02 or SDW04, the laboratory must use samples that have been prepared at the maximum contaminant level or MCL. For other parameters, the laboratory must prepare samples that are in the middle of the concentration range normally encountered in the analysis.
The next step is to prepare a control chart.
The X axis represents time. Values on the axis are the sequential numbers of analysis, 1 = first batch of analysis, 2 = second batch of analysis, 3 = third batch of analysis, etc..
Analytical results are on the Y axis. The theoretical or true value of the QC samples is an horizontal line parallel to the X axis. The value of the analytical results for all of the QC samples are plotted over time.
There are two other pairs of horizontal lines on the control chart, warning and control limits. Warming limit lines are plotted at the concentration value equal to 2 standard deviations above the true value line and 2 standard deviations below the true value line. Warning limit lines are plotted at the concentration value equal to 3 standard deviations above the true value line and 3 standard deviations below the true value line.
The chart with its horizontal lines will look something like this:
Warning limit (Upper)+++++++++++++++++++++++++++++
Control Limit (upper) *********************************
True value of the QC sample ----------------------------------------
Control Limit (lower) *********************************
Warning limit (lower)++++++++++++++++++++++++++++++
Recall that on a normal or bell shaped distribution:
68% of the observations fall within 1 standard deviation of the mean.
95% of the observations fall within 2 standard deviations of the mean.
99.7% of the observations fall within 3 standard deviations of the mean.
This type of control chart can tell us instantly if a sample result is outside a normal range of results.
Once the control chart is prepared the
laboratory records
the quality control sample results on the chart. If any percent
recovery is not
within three standard deviations of the limits, the laboratory must
re-analyze
the samples in question.
Control limits are updated after a batch of 20 new measurements.
This information posted by:
Kevin Olsen
Passaic River Institute
Montclair State University
Normal Ave
Montclair, NJ, 07043
OlsenK@Mail.Montclair.edu