Workpackage 3 Optimisation screening techniques
The following screening techniques will be optimised
ASE-CALUX
Their applicability for dioxin analysis in food and feed will be thoroughly tested in an interlaboratory test.
February 2002 - October 2004
Scientific Institute of Public Health
The DIFFERENCE project focuses on the development, optimisation and validation of screening methods for dioxin analysis, including bio-analytical and chemical screening techniques (CALUX, GC-LRMS/MS, GCxGC-ECD) and on the optimisation and validation of new extraction and clean-up procedures. The different screening techniques are optimised in the first year of the project. Good results were obtained for GC-LRMS/MS analysis. For GCxGC-ECD, different column combinations have been tested to optimise the chromatography (in close relation to the DIAC project). GCxGC-ECD showed good separation results (see chromatogram). For the CALUX bioassay a preliminary interlaboratory study was organised to optimise and evaluate CALUX.

Figure. The two-dimensional separation of 90 PCBs (partly visible) and dioxins and furans by comprehensive GCxGC-EC.
The performance of these techniques is assessed in an international validation study and the results are compared with the reference technique GC-HRMS. Furthermore, the validation study is casrried out according to ISO standards. The following combinations are tested on their quantitative performance: GC-HRMS (reference), CALUX bio-assay, GC-LRMS/MS, GCxGC-ECD, ASE-CALUX, and ASE-GC-HRMS. A large number of samples has been prepared by RIVO for the test series. These samples include pork, milk, fish, fish oil, compound feed and standard solutions.
The first round of the validation study (consisting of 3 rounds) focussed on the goodness-of-fit of the calibration curve and on the accuracy of the methods.
In round 2 the detection
capability and selectivity were assessed. In round 3, the accuracy and
robustness of the methods were evaluated on several samples of different origin
(pork tissue, chicken, compound
feed, sepiolithic clay, egg, chicken tissue and vegetable oil). The results of
round 3 are summarized in Table 1. The CVW is below 30% for all the labs, which
is the EU tolerance for screening method results. (no precision data are
available for GCxGC-ECD). The uncorrected CALUX results underestimate the total
TEQ concentration of the feed sample. The results of the CALUX labs (= lab A, D,
E and H) are more than 50% lower than the median of the GC-HRMS results. The
SSZ-scores of the CALUX labs are unsatisfactory (Figure 1). Applying recovery
correction improves the total TEQ results of these labs, since the SSZ-scores
for CALUX* are satisfactory. The results of the GC-LRMS/MS and GCxGC-ECD are all
satisfactory, however only 1 result for GCxGC-ECD was reported. The resultsof the ASE + GC-HRMS show a larger variation than those of GC-HRMS with
conventional extraction, but their SSZ-score is still satisfactory.
The results of validation round 1 and 2 have recently been
published in:
Van Loco, J., S. P. J. Van Leeuwen, P. Roos, S. Carbonnelle, J.
de Boer, L. Goeyens and H. Beernaert (2004). The international validation of bio-
and chemical- analytical screening methods for dioxins and dioxin-like PCBs: the
DIFFERENCE project rounds 1 and 2. Talanta 63(5): 1169-1182.
| Table Chicken compound feed validation data | |||||||
| Lab | Method | n | Mean concentration | Bias | CVr | CVW | CVR |
| (ng total TEQ/kg) | |||||||
| A | CALUX | 6 | 0.73 | -55.60% | 12.00% | 13.00% | 50.30% |
| D | CALUX | 6 | 0.262 | -84.10% | 9.60% | 9.60% | |
| E | CALUX | 6 | 0.74 | -55.00% | 17.40% | 22.90% | |
| A* | CALUX* | 6 | 1.043 | -36.60% | 12.00% | 12.80% | 42.90% |
| E* | CALUX* | 6 | 1.895 | 15.20% | 13.70% | 13.70% | |
| C | GC-HRMS | 6 | 1.642 | -0.20% | 1.10% | 1.10% | 14.50% |
| F | GC-HRMS | 6 | 1.716 | 4.30% | 3.40% | 3.60% | |
| J | GC-HRMS | 6 | 1.302 | -20.90% | 1.00% | 4.20% | |
| K | GCxGC-ECD | 1 | 1.415 | -14.00% | - | - | - |
| G | GC-LRMS/MS | 6 | 1.741 | 5.80% | 4.90% | 5.30% | - |
| H | ASE+CALUX | 6 | 0.475 | -70.70% | 6.90% | 23.40% | - |
| B | ASE+GC-HRMS | 6 | 1.733 | 5.40% | 2.80% | 19.30% | - |
| CVr: repeatability CV, CVW: within lab reproducibility CV, CVR: reproducibility CV. | |||||||