Abstract:
Determination of Analytes in a Sample Matrix by Solvent Extraction A method for the assay of one or more analytes in a sample matrix comprising the steps of: performing analyte extraction on the sample matrix, said analyte extraction comprising combining the sample matrix with a solvent for an extraction period which is less than that required for reaching equilibrium; and separating the analyte containing solvent from the sample matrix; next measuring a level of analyte present in the separated solvent; and then applying in a computer a calibration by which is established a mathematical relationship between levels of analyte extracted from each of a plurality of reference samples by means of the process employed above in the extraction for the sample matrix and a reference value of the levels of analyte for each reference sample to thereby derive a measure of the level of analyte in the sample matrix. Specifically a method to determine the amount of mycotoxins in cereal grain, especially OTA (ochratoxin A) and DON (deoxynivalenol) by mixing with a solvent comprising water alcohol mixture, with 20-40% ethanol by volume.
Abstract:
A method of determining a pathlength deviation of a sample (610), the method comprising: exposing the sample (610) to electromagnetic radiation at a plurality of wavenumbers, determining electromagnetic absorption in the sample (610) at the plurality of wavenumbers, determining a first wavenumber associated with a first absorption level of an absorption band and a second wavenumber associated with a second absorption level of the absorption band, wherein the second wavenumber is different from the first wavenumber, determining a difference between the first wavenumber and the second wavenumber, and determining the pathlength deviation based on the difference.
Abstract:
A system (102) for determining properties of a sample (114) comprises a LIBS detector (104,106) and an infra-red absorption detector (108,110) for interrogating a sample (114) to generate LIBS spectral data and infra-red absorption spectral data respectively; and a data processor (112) adapted to apply at least one chemometric prediction model, each constructed to link, preferably quantitatively link, features of both LIBS and absorption spectral data to a different specific property of the sample, to a combined dataset derived from at least portions of both the LIBS and the absorption data to generate therefrom a determination, preferably a quantitative determination, of the specific property linked by that model.