Speciation analysis is often considered to be complex, prone to all kind of problems and therefore only manageable by experts. While indeed speciation analysis is more complex than trace element analysis, it shares the same type of error sources with many other analytical methodologies such as organic compound analysis.
Steps of chemical speciation analyis
Speciation analysis is a type of chemical analysis interested in the distribution of certain elements over different elemental species. Often but not always the interest is in trace elements. Speciation analysis therefore is not very special with respect to typical error sources but mostly shares common error sources also present in trace analysis and/or organic analysis. However, since speciation analysis provides a higher level of information value compared to trace element analysis, the possible errors are also more numerous. Errors may occur in all steps of chemical analysis:
- Project planning
- Sample collection
- Sample Storage
- Sample Preparation
- Analyte Separation
- Data Evaluation
Errors in speciation analysis can both be stochastic in nature (random error) as well as systematic (bias, artefact). Random errors reduce the obtainable precision, while systematic errors compromise the accuracy. Both error types enhance the level of uncertainty.
Random errors are caused by unpredictable fluctuations in the readings of a measurement apparatus, or in the experimenter's capacity to reproduce the sample presentation to the apparatus. Such errors can in general be minimized by applying well known concepts to obtain high precision measurements, such as using highly reproducible weighing instead of imprecise volumetric measurements.
Systematic errors are predictable, and typically constant or proportional to the true value. If the cause of the systematic error can be identified, then it can usually be eliminated. Typical sytematic errors in speciation analysis are:
- Contamination of the sample by the sampling procedure or later during analysis
- Analyte loss by adsorption onto solid parts of the sample, the sample container or the analytical apparatus.
- Incomplete extraction of a target species from the sample matrix
- Species transformation during analysis
- Incorrect identification of a species
- Calibration errors
Error sources have to be evaluated and resulting uncertainty has to be minimized by rigorous quality control and assurance (QA/QC), starting with appropriate method selection, method development and validation (for more details see: Brief summary: Speciation Analysis - Striving for Quality
A meaningful analysis starts with appropriate planning. Chemical analysis is performed in order to provide information that should answer a particular question. Depending on the application field (Environmental analysis, Clinical analysis, Food Analysis, Material Science, etc.) questions most often are related to one of the following topics:
- product identity, quality and safety for the consumer
- process efficiency with respect to raw materials, energy and waste production
- safety for the production plant and for the workplace environment
- absence of risks for the environment and its inhabitants
- emission to the environment, distribution and fate in the environment
- compliance with rules and legislation
- uptake, metabolism, accumulation and excretion by organisms
- ….many others
The analytical task should not be performed without knowing the questions to be answered. The analytical method should then be chosen in order to provide meaningful information answering the given question. Depending on the origin of the sample (environmental compartment, human body, food, industrial product) such questions are related to the specific activity of the target chemical species, such as:
- biological activity
- lifetime, fate and metabolism
- chemical and physical activity.
Since these characteristics are species related, data on the presence of elements and their total concentration do not promote relevant information (see Brief summary: What is the use for total element concentrations ?
). The real value of analytical tools is clearly related to the quality of information provided and the costs involved. Therefore the selection of an analytical methodology that cannot answer the question is the worst case with respect to costs and the biggest error. Related studies discussing typical errors in speciation analysis
M.B. de la Calle, H. Emteborg, T.P.J. Linsinger, R. Montoro, J.J.
Sloth, R. Rubio, M.J. Baxter, J. Feldmann, P. Vermaercke, G. Raber, Does the determination of inorganic arsenic in rice depend on the method?
, Trends in Analytical Chemistry, 30/4 (2011) 641-651. doi: 10.1016/j.trac.2010.11.015
Kevin A. Francesconi, Michael Sperling, Speciation analysis with HPLC-mass spectrometry: time to take stock
, Analyst (London), 130/7 (2005) 998-1001. doi: 10.1039/b504485p
H. Emons, Artefacts and facts about metal(loid)s and their species from analytical procedures in environmental biomonitorin
g, Trends Anal. Chem. (Pers. Ed.), 21/6-7 (2002) 401-411. doi: 10.1016/S0165-9936(02)00606-4
Hubert Chassaigne, Ryszard Lobinski, Detection of artefacts and peak identification in reversed-phase HPLC of metallothioneins by electrospray mass spectrometry
, Talanta, 48/1 (1999) 109-118. doi: 10.1016/S0039-9140(98)00220-3
Gemma Rauret, R. Rubio, Sources of error in speciation analysis
, Quim. Anal. (Barcelona), 16/S.1 (1997) S119-S130. Related EVISA Resources Brief summary: Certified Reference Materials for Speciation Analysis Brief summary: What is the use for total element concentrations ? Brief summary: Sample preservation for speciation analysis - General recommendations Brief summary: Species transformation during speciation analysis
Brief summary: Speciation Analysis - Striving for Quality Materials Database Link page: All about QA/QC Link page: All about CRMs Related EVISA News (about problems in speciation analysis) March 14, 2013: Chromate in food samples: an artefact of wrongly applied analytical methodology
last time modified: June 13, 2013