Sample preparation includes all of those procedures the analyst performs on the sample to make it ready for the actual ‘measurement’ stage of analysis.
In considering sample preparation there are a number of general factors that need to be addressed.
There are various considerations that impact these factors as follows.
Solids need to be converted into a soluble form:
Once in solution, further processing of the sample may still be required. ‘Matrix’ refers to the overall chemical composition as well as the physical properties of the sample in which the analyte resides. Bread, for example, has a soft organic matrix consisting predominantly of a mixture of carbohydrates, protein and fat. Steel has a solid metallic matrix of atoms of iron mostly. To overcome interferences presented by/in a matrix, the analyte may need to be separated from its matrix - such processes are known as ‘sample clean up’. Interferences may also be chemically masked, or in other words ‘blocked’, to negate their impact.
Improvements to analytical methods that result in lower detection limits and shorter analysis times often arise from improvements to sample preparation. To illustrate this, imagine a biological toxin that has been discovered and is active at concentrations lower than normal. A new approach to sample preparation might be developed to include steps that chemically alter the toxin by attachment of an organic reagent. The choice of an appropriate reagent can significantly enhance sensitivity (ie lower the detection limit) and selectivity (ie reduce the impact on the analyte from interfering compounds). ‘Chemical derivatisation’ is the name of this type of procedure. Sample preparation can be tedious and time consuming. Using acid to break down (digest) a sample of rock could take some hours compared to seconds to acquire the output from an instrument. The more steps involved in sample preparation, the greater the potential
for loss of sample with consequent negative effects on accuracy and precision.
For quantitative analysis, the number of steps needs to be optimal and
the analyst needs to perform the work with due care.
|