Medicine - Measurement and Data Reliability Flashcards Preview

Pharmacy Year 2 Semester 1 > Medicine - Measurement and Data Reliability > Flashcards

Flashcards in Medicine - Measurement and Data Reliability Deck (37):
1

Name 5 steps in drug analysis

1) Take representative sample
2) Extract analyte(s) from interfering matrix
3) Separate analytes
4) Identify, detect and quantify analytes
5) Determine reliability/validity of results

2

5 Steps of analysing a sample

1) Select representative sample
2) Extraction -e.g. a lot of matrix is present
3) Purification - e.g. is the test highly susceptible to impurities, excipients, degradation products
4) Characterisation - the target analyte should be identified, especially if the test is not very specific
5) Data validity - us stats, comparison with standards and/or another method. If you are testing by a newly developed method or if the method has been changed significantly then it is critical to validate the new method first

3

Ways to present and handle analytical data

-Can you group it? - frequency table - histogram if numerical or bar chart if numbers and text
-Did you change only one parameter? Line graph suitable where x axis having independent variable (what you altered) and y axis being dependent variable (what you measured)
-If you changed more than one variable then a scattergram may be suitable

4

How to get the line of best fit?

Linear regression analysis - better than manual determination
equation of the line of best fit
y = a + bx
Use equation where:
a and b are parameters of the line
b is the slope, a is the y intercept
N= number of pairs of values

5

Analytical measurements are not exact. What do we do in reaction to this?

Assume the last digit quoted in a measured value is uncertain

6

An analyst weighs 25 tablets and finds the average weight per tablet.
Then he calculates that 38 tablets should weigh 44.2239672g. The accuracy of the balance is +/-0.1mg
How should he write the result?

As Weight= 44.2240g

7

When calculating drug content, how many significant figures is favoured for the answer?

3 significant figures

8

Rules for sigfigs when adding or subtracting?

Round off to the same number of decimal places as the value having the fewest decimal places
e.g.
10 + 28.621 = 129

9

Rules for sigfigs when multiplying or dividing?

Round off to have the same number of sig figs as the value with the least significant figures
e.g.
2.1 x 11.31 = 24

10

How should one take measurement on a scaled instrument?

Go for one more figure than you can read with certainty
e.g.
Manufacturers often give accuracy value to their apparatus. A graduated 50ml burette may be accurate to only +/-0.02mL
Therefore when measuring 30ml of solvent you should report to this level of accuracy only as 30.00ml

11

What 3 types of errors affect validity of analytical measurement?

1) indeterminate (random) error
2) determinate (systematic) error
3) Gross error

12

What is indeterminate error and what does it affect?

Random error
Evaluate with statistics
affects precision more than accuracy

13

what is determinate error? how to evaluate it?

Systematic error
evaluate with standards
affects accuracy more than precision

14

Gross error is what?

A big mistake, like spilling everything on the floor, sample evaporated etc. the value stands out as an outlier.

15

What do random errors follow statistics wise?

The normal distributions or Gaussian pattern

16

With the normal distribution, use standard deviations to explain how sure one can be where the values are

68% values within one sd (or 68% chance that random error will not exceed +/-1sd)
95% are within +/- 2sd
99.7% are within +/- 3sd
of the mean value

17

What is precision?

How close (repeatable) the measurements are to each other

18

How is precision expressed?

Range (quickest) - difference between highest and lowest results
Standard deviation or the relative standard deviation - preferred. Calculate by statistical analysis

19

What is relative standard deviation?

The spread of data expressed as % of the mean value, so units become unimportant
+/- RSD also called the coefficient of variation (CV)
use RSD to remove units
divide by mean

20

What is accuracy?

how close the measurement is to the accepted value

21

How can we evaluate accuracy?

by calculating the absolute error (measured value minus a true value)
and relative error

22

Equation for absolute error

E=xi-xt
where xi= observed value and xt= true value

23

Equation for relative error

E=(xi-xt)/xt * 100%
percentage value

24

Name and describe 3 origins of systematic error

1) Instrumental
Calibration - apparatus (cylinders, dispensers etc) or equipment (balances, pH meter etc)
2) Method
Reagents (unstable), reactions (incomplete)
3) Personal error
e.g. eye sight (colour), height (can not read burette at eye level) etc

25

What can a null hypothesis that assumes to bias verify?

If a difference is due to a random or systematic error (bias) in the method or not

26

When do you reject the null hypothesis?

If xbar-xt>+/-ts/SRN
where xbar = mean
xt = true value
SRN = square root of N
ts = standard deviation

27

When do you accept the null hypothesis?

xbar-xt

28

What is t-Test?

One of the most powerful and widely used statistical tests
It is used to calculate the confidence intervals of a measurement when the population standard deviation is not known, which is the case with limited number of data points

29

What can the t test be used to do?
What does the t test correct for?

Used to compare two averages
Corrects for the uncertainty of the sample standard deviation caused by taking a small number of samples

30

How to detect gross error?

use a Q test
You can use a Q distribution table to compare the Q experimental value at a given confidence level with Q critical value in the table

31

Using the Q test, when is a value an outlier?

When Qexp>Qcritical

32

Qexp=?

Qexp=(xq-xn)/w
where xq=value in doubt
xn=nearest value to doubted
w=range

33

What is method validation?

The process of demonstrating that analytical procedures are suitable for their intended use and that they support the identity, strength, quality, purity and potency of the drug substances and drug products

34

In method validation, in addition to the details of how to carry out an assay (SOP) what else must the method state?

How the sample is extracted/prepared or handled before it is analysed. Quality of reagents including reference or standard materials used. Procedures for instrument calibration, reagent preparation, method of sample preperation and handling

35

When do methods require complete validation?

When they are new methods

36

When are pharmacopoeial methods not valid?

If they are significantly changed. Any changes must be validated (partial validation)

37

What is the most difficult to validate?

Biological assays. Therefore they are best left alone as they are in monographs as they are very variable.