Metallomics investigations on potential binding partners of methylmercury in tuna fish muscle tissue using complementary mass spectrometric techniques.

In this study, the binding behaviour of methylmercury (MeHg(+)) towards proteins is investigated. Free sulfhydryl groups in cysteine residues are known to be the most likely binding partners, due to the high affinity of mercury to sulphur. However, detailed knowledge about discrete binding sites in living organisms has been so far scarce. A metallomics approach using different methods like size-exclusion chromatography (SEC) and liquid chromatography (LC) coupled to inductively coupled plasma-mass spectrometry (ICP-MS) as well as complementary mass spectrometric techniques (electrospray ionisation-tandem mass spectrometry, ESI-MS/MS) are combined to sequence and identify possible target proteins or peptides after enzymatic digestion. Potential targets for MeHg(+) in tuna fish muscle tissue are investigated using the certified reference material CRM464 as a model tissue. Different extraction procedures appropriate for the extraction of proteins are evaluated for their efficiency using isotope dilution analysis for the determination of total Hg in the extracts. Due to the high chemical stability of the mercury-sulphur bond, the bioconjugate can be quantitatively extracted with a combination of tris(hydroxymethyl)aminomethane (TRIS) and sodium dodecyl sulphate (SDS). Using different separation techniques such as SEC and SDS-polyacrylamide gel electrophoresis (SDS-PAGE) it can be shown that major binding occurs to a high-molecular weight protein (M(w) > 200 kDa). A potential target protein, skeletal muscle myosin heavy chain, could be identified after tryptic digestion and capillary LC-ESI-MS/MS.

Direct µ-flow injection isotope dilution ICP-MS for the determination of heavy metals in oil samples.

The determination of trace elements in oil samples and their products is of high interest as their presence significantly affects refinery processes and the environment by possible impact of their combustion products. In this context, inductively coupled plasma mass spectrometry (ICP-MS) plays an important role due to its outstanding analytical properties in the quantification of trace elements. In this work, we present the accurate and precise determination of selected heavy metals in oil samples by making use of the combination of µ-flow direct injection and isotope dilution ICP-MS (ICP-IDMS). Spike solutions of (62)Ni, (97)Mo, (117)Sn and (206)Pb were prepared in an organic solvent, mixed directly with the diluted oil samples and tested to be fit for purpose for the intended ID approach. The analysis of real samples revealed strong matrix effects affecting the ICP-MS sensitivity, but not the isotope ratio measurements, so that accurate results are obtained by ICP-IDMS. Typical relative standard deviations were about 15% for peak area and peak height measurements, whereas the isotope ratios were not significantly affected (RSD < 2%). The developed method was validated by the analysis of a metallo-organic multi-element standard (SCP-21, typically applied as a calibration standard) and the standard reference material SRM1084a (wear metals in lubricating oil). The obtained results were in excellent agreement with the certified values (recoveries between 98% and 102%), so the proposed methodology of combining µ-flow direct injection and ICP-IDMS can be regarded as a new tool for the matrix-independent, multi-element and reliable determination of trace elements in oil and related organic liquids.

Systematic studies on the determination of Hg-labelled proteins using laser ablation-ICPMS and isotope dilution analysis.

A method was developed for the precise and accurate determination of ovalbumin labelled with p-hydroxy-mercuribenzoic acid (pHMB) using polyacrylamide gel electrophoresis with ns-laser ablation-inductively coupled plasma mass spectrometry. Following systematic optimisation of the ablation process in terms of detection sensitivity, two different quantification strategies were applied: external calibration using standards of the derivatized protein after (13)C(+) normalization and, as a proof of concept, label-specific isotope dilution analysis (IDA) using pHMB enriched in the isotope (199)Hg. Due to the inhomogeneous distribution of the protein within the gel bands, it could be demonstrated that the IDA approach was superior in terms of precision and accuracy. Furthermore, it permits a reliable quantification, if more complex separation protocols are applied, as typically occurring analyte loss and degradation can be compensated for as soon as complete mixture of spike and sample is achieved. The estimated limit of detection was 160 fmol in the case of ovalbumin. In contrast to earlier studies using metals naturally present in proteins, no loss of mercury was observed during separation under denaturing conditions and other sample preparation steps. Using label-specific IDA, the measured isotope ratios in the gel corresponded to recoveries between 95% and 103%.

Absolute and relative protein quantification with the use of isotopically labeled p-hydroxymercuribenzoic acid and complementary MALDI-MS and ICPMS detection.

Chemical labeling with subsequent mass spectrometric detection represents a common approach for protein quantification. Whereas most methods make use of stable isotope labels from natural elements such as (2)D, (13)C, (15)N, or (18)O, artificially introduced metals have gained interest as alternative markers. In this work we present the application of p-hydroxymercuribenzoic acid (pHMB) as a labeling reagent for cysteine-containing proteins. As a proof of concept, insulin was chosen as the model protein, and two different workflows were developed to its absolute and relative quantification with the use of complementary MALDI-MS and ICPMS. On the basis of the synthesis of isotopically labeled [(199)Hg]pHMB, and thus on the basis of the label-specific isotope dilution concept, a differential labeling procedure can be applied either to the comparative study of two different samples (relative quantification) or to the absolute quantification of insulin. In both cases, final detection by MALDI-MS followed by isotope pattern deconvolution was applied to extract the quantitative data from the mass spectra. Good agreement with the expected values was obtained for the relative insulin quantification, and the recovery for insulin applying the absolute quantification workflow was between 90% and 110% with an RSD of better than 5% in the low picomole range.