@article{RN9619,
   author = {Lechtenfeld, O. J. and Kaesler, Jan and Jennings, Elaine K. and Koch, Boris P.},
   title = {Direct analysis of marine dissolved organic matter using LC-FT-ICR MS},
   journal = {Environmental Science & Technology},
   volume = {58},
   number = {10},
   pages = {4637–4647},
   DOI = {10.1021/acs.est.3c07219},
   url = {https://pubs.acs.org/doi/10.1021/acs.est.3c07219},
   year = {2024},
   type = {Journal Article}
}
@article{RN9890,
   author = {Kong, Xianyu and Lechtenfeld, Oliver J. and Kaesler, Jan M. and Granskog, Mats A. and Stedmon, Colin A. and Graeve, Martin and Koch, Boris P.},
   title = {Major terrestrial contribution to the dissolved organic carbon budget in the Arctic Ocean},
   journal = {Nature Geoscience},
   abstract = {Arctic warming is expected to increase the terrestrial dissolved organic carbon flux into the central Arctic Ocean, altering biogeochemical cycling by modulating light attenuation, microbial respiration and carbon dioxide release. Quantifying terrestrial inputs remains challenging due to biases in common proxies and uncertainties in endmember characteristics, which complicate traditional mixing models, introducing uncertainties in predicting climate change impacts. Here we present a high-resolution mass spectrometric approach allowing direct analysis of original seawater, tracing and quantifying terrestrial contributions to dissolved organic carbon. Terrestrial dissolved organic carbon in the central Arctic Ocean contributed at least 0.97 ± 0.05 PgC (16.4%) to the dissolved organic carbon inventory of 5.93 ± 0.09 PgC, including 15.0% in deep water (7.9 ± 0.4 µmol l−1). In surface water within the Transpolar Drift, the average terrestrial dissolved organic carbon concentrations were 117% higher (31.5 ± 4.8 µmol l−1) than outside the Transpolar Drift (14.5 ± 1.0 µmol l−1). The terrestrial dissolved organic matter is compositionally distinct, being more aromatic, hydrophobic and nitrogen-poor than marine sources. This approach provides chemical information that reflects changes in organic matter sources and bioavailability, both of which are central to understanding future climatic impacts on Arctic biogeochemical cycles.},
   ISSN = {1752-0908},
   DOI = {10.1038/s41561-025-01847-5},
   url = {https://doi.org/10.1038/s41561-025-01847-5},
   year = {2025},
   type = {Journal Article}
}
@article{RN9701,
   author = {Rodrigues Matos, Rebecca and Jennings, Elaine K. and Kaesler, Jan and Reemtsma, Thorsten and Koch, Boris P. and Lechtenfeld, Oliver J.},
   title = {Post column infusion of an internal standard into LC-FT-ICR MS enables semi-quantitative comparison of dissolved organic matter in original samples},
   journal = {Analyst},
   volume = {149},
   number = {12},
   pages = {3468-3478},
   abstract = {Ultrahigh resolution mass spectrometry hyphenated with liquid chromatography (LC) is an emerging tool to explore the isomeric composition of dissolved organic matter (DOM). However, matrix effects limit the potential for semi-quantitative comparison of DOM molecule abundances across samples. We introduce a post-column infused internal standard (PCI-IS) for reversed-phase LC-FT-ICR MS measurements of DOM and systematically evaluate matrix effects, detector linearity and the precision of mass peak intensities. Matrix effects for model compounds spiked into freshwater DOM samples ranging from a headwater stream to a major river were reduced by 5–10% for PCI-IS corrected mass peak intensities as compared to raw (i.e., untransformed) intensities. A linear regression of PCI-IS corrected DOM mass peak intensities across a typical DOM concentration range (2–15 mg dissolved organic carbon L−1) in original, non-extracted freshwater samples demonstrates excellent linearity of the detector response (r2 > 0.9 for 98% of detected molecular formulas across retention times). Importantly, PCI-IS could compensate for 80% of matrix effects across an environmental gradient of DOM composition from groundwater to surface water. This enabled studying the ionization efficiency of DOM isomers and linking the observed differences to the biogeochemical sources. With PCI-IS original, non-extracted DOM samples can be analysed by LC-FT-ICR MS without carbon load adjustment, and mass peak intensities can be reliably used to semi-quantitatively compare isomer abundances between compositionally similar DOM samples.},
   ISSN = {0003-2654},
   DOI = {10.1039/D4AN00119B},
   url = {http://dx.doi.org/10.1039/D4AN00119B},
   year = {2024},
   type = {Journal Article}
}
@article{RN9684,
   author = {Gao, Shuxian and Jennings, Elaine K. and Han, Limei and Koch, Boris P. and Herzsprung, Peter and Lechtenfeld, Oliver J.},
   title = {Detection and Exclusion of False-Positive Molecular Formula Assignments via Mass Error Distributions in UHR Mass Spectra of Natural Organic Matter},
   journal = {Analytical Chemistry},
   volume = {96},
   number = {25},
   pages = {10210-10218},
   note = {doi: 10.1021/acs.analchem.4c00489},
   abstract = {Ultrahigh resolution mass spectrometry (UHRMS) routinely detects and identifies thousands of mass peaks in complex mixtures, such as natural organic matter (NOM) and petroleum. The assignment of several chemically plausible molecular formulas (MFs) for a single accurate mass still poses a major problem for the reliable interpretation of NOM composition in a biogeochemical context. Applying sensible chemical rules for MF validation is often insufficient to eliminate multiple assignments (MultiAs)─especially for mass peaks with low abundance or if ample heteroatoms or isotopes are included - and requires manual inspection or expert judgment. Here, we present a new approach based on mass error distributions for the identification of true and false assignments among MultiAs. To this end, we used the mass error in millidalton (mDa), which was superior to the commonly used relative mass error in ppm. We developed an automatic workflow to group MultiAs based on their shared formula units and Kendrick mass defect values and to evaluate the mass error distribution. In this way, the number of valid assignments of chlorinated disinfection byproducts was increased by 8-fold as compared to only applying 37Cl/35Cl isotope ratio filters. Likewise, phosphorus-containing MFs can be differentiated against chlorine-containing MFs with high confidence. Further, false assignments of highly aromatic sulfur-containing MFs (“black sulfur”) to sodium adducts in negative ionization mode can be excluded by applying our approach. Overall, MFs for mass peaks that are close to the detection limit or where naturally occurring isotopes are rare (e.g., 15N) or absent (e.g., P and F) can now be validated, substantially increasing the reliability of MF assignments and broadening the applicability of UHRMS analysis to even more complex samples and processes.},
   ISSN = {0003-2700},
   DOI = {10.1021/acs.analchem.4c00489},
   url = {https://doi.org/10.1021/acs.analchem.4c00489},
   year = {2024},
   type = {Journal Article}
}
@article{RN8662,
   author = {Han, L. M. and Kaesler, J. and Peng, C. and Reemtsma, T. and Lechtenfeld, O. J.},
   title = {Online Counter Gradient LC-FT-ICR-MS Enables Detection of Highly Polar Natural Organic Matter Fractions},
   journal = {Analytical Chemistry},
   volume = {93},
   number = {3},
   pages = {1740-1748},
   note = {Han, Limei Kaesler, Jan Peng, Chang Reemtsma, Thorsten Lechtenfeld, Oliver J.},
   abstract = {Natural organic matter (NOM) is a highly complex mixture of natural organic molecules. The recent developments in NOM molecular characterization methods have shown that ESIFT-ICR hyphenated with liquid chromatography (LC) is a promising approach to also obtain chemical information (such as polarity and molecular size) about NOM molecules. However, due to changing solvent composition during gradient elution in LC-FT-ICR-MS, ionization conditions also change throughout the chromatographic separation process. In this study, we applied a post-LC column counter gradient (CG) to ensure stable solvent conditions for transient ESI-MS signals. Suwanee River Fulvic Acid (SRFA) standard and a peat pore water were used as representative dissolved NOM samples for method development and validation. Our results show that in polar NOM fractions (which elute with <50% methanol) the TIC intensity and number of assigned molecular formulas were increased by 48% and 20%, as compared to the standard gradient (SG) method. Further application of a Q-isolation and selective ion accumulation for low abundance fractions revealed over 3 times more molecular formulas (especially for CHNO, CHOS, CHNOS formula classes) than in full scan mode. The number of detected highly polar NOM compounds (with elemental ratios H/C < 1, O/C > 0.6) were more than 20 times larger for CG-LC mode as compared to direct infusion (DI) (5715 vs 266 MF). We conclude that the application of a postcolumn counter gradient in LC-FT-ICR-MS analyses of NOM offers novel insight into the most polar fractions of NOM which are inaccessible in conventional DI measurements.},
   ISSN = {0003-2700},
   DOI = {10.1021/acs.analchem.0c04426},
   url = {<Go to ISI>://WOS:000613922400069
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c04426},
   year = {2021},
   type = {Journal Article}
}
@article{RN9570,
   author = {da Silva, Maria P.  and Koch, Boris P. and von Tümpling, Wolf and Herzsprung, P. and Kamjunke, N. and Reemtsma, T. and Schmitt-Kopplin, P. and Lechtenfeld, O. J.},
   title = {A guideline for the application of correlation analyses based on ultra-high resolution mass spectra of natural organic matter: The impact of intensity normalization methods},
   year = {submitted},
   type = {Journal Article}
}
@article{RN8681,
   author = {Hawkes, J. A. and Sjoberg, P. J. R. and Bergquist, J. and Tranvik, L. J.},
   title = {Complexity of dissolved organic matter in the molecular size dimension: insights from coupled size exclusion chromatography electrospray ionisation mass spectrometry},
   journal = {Faraday Discussions},
   volume = {218},
   pages = {52-71},
   note = {Hawkes, J. A. Sjoberg, P. J. R. Bergquist, J. Tranvik, L. J.
Conference on Challenges in Analysis of Complex Natural Mixtures
May 13-15, 2019
Univ Edinburgh, Edinburgh, SCOTLAND},
   abstract = {This paper investigates the relationship between apparent size distribution and molecular complexity of dissolved organic matter from the natural environment. We used a high pressure size exclusion chromatography (HPSEC) method coupled to UV-Vis diode array detection (UV-DAD) and electrospray ionisation mass spectrometry (ESI-MS) in order to compare the apparent size of natural organic matter, determined by HPSEC-UV and the molecular mass determined online by ESI-MS. We found that there was a clear discrepancy between the two methods, and found evidence for an important pool of organic matter that has a strong UV absorbance and no ESI-MS signal. Contrary to some previous research, we found no evidence that apparently high molecular weight organic matter is constituted by aggregates of low molecular weight (<1000 Da) material. Furthermore, our results suggest that the majority of apparent size variability within the ESI ionisable pool of organic matter is due to secondary interaction and exclusion effects on the HPSEC column, and not true differences in hydrodynamic size or intermolecular aggregation.},
   ISSN = {1359-6640},
   DOI = {10.1039/c8fd00222c},
   url = {<Go to ISI>://WOS:000481497900003},
   year = {2019},
   type = {Journal Article}
}
@article{RN8376,
   author = {Van Krevelen, DW},
   title = {Graphical-statistical method for the study of structure and reaction processes of coal},
   journal = {Fuel},
   volume = {29},
   pages = {269-284},
   year = {1950},
   type = {Journal Article}
}
@article{RN402,
   author = {Kim, Sunghwan and Kramer, Robert W. and Hatcher, Patrick G.},
   title = {Graphical method for analysis of ultrahigh-resolution broadband mass spectra of natural organic matter, the Van Krevelen Diagram},
   journal = {Analytical Chemistry},
   volume = {75},
   pages = {5336-5344},
   year = {2003},
   type = {Journal Article}
}
@article{RN8354,
   author = {Koch, B. P. and Dittmar, T. and Witt, M. and Kattner, G.},
   title = {Fundamentals of molecular formula assignment to ultrahigh resolution mass data of natural organic matter},
   journal = {Anal Chem},
   volume = {79},
   number = {4},
   pages = {1758-63},
   note = {Koch, Boris P
Dittmar, Thorsten
Witt, Matthias
Kattner, Gerhard
eng
Letter
Research Support, Non-U.S. Gov't
2007/02/15 09:00
Anal Chem. 2007 Feb 15;79(4):1758-63.},
   abstract = {Ultrahigh-resolution mass spectrometry via the Fourier transform ion cyclotron resonance technique (FT-ICR-MS) allows the identification of thousands of different molecular formulas in natural organic matter and petroleum samples. Molecular formula assignment from mass data is most critical and time-consuming for these samples, and in many cases, several formulas can be determined for the same molecular mass. Therefore, automated procedures are required for an efficient exploitation of the extensive data sets. Here, we revise statements in a recent publication,1 which might result in a misleading impression about our approach of formula assignment in a previous work. We also summarize and categorize existing procedures for formula assignment. In addition, we propose new techniques, which are suitable to be implemented in automated evaluation software. The homologous series approach is extended toward a building block approach that can be applied as a new exclusion criterion for incorrect formula assignments. The examination of stable isotope ratios of individual molecules in natural organic matter can be applied as an additional and intrinsic evaluation for calculated molecular formulas.},
   keywords = {Databases as Topic
Fourier Analysis
Mass Spectrometry/*methods
Molecular Weight
Organic Chemicals/*analysis
Petroleum/*analysis
Sensitivity and Specificity},
   ISSN = {0003-2700 (Print)
0003-2700 (Linking)},
   DOI = {10.1021/ac061949s},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/17297983},
   year = {2007},
   type = {Journal Article}
}
@article{RN8619,
   author = {Leefmann, T. and Frickenhaus, S. and Koch, B. P.},
   title = {UltraMassExplorer: a browser-based application for the evaluation of high-resolution mass spectrometric data},
   journal = {Rapid Communications in Mass Spectrometry},
   volume = {33},
   number = {2},
   pages = {193-202},
   note = {Leefmann, Tim Frickenhaus, Stephan Koch, Boris P.},
   abstract = {Rationale High-resolution mass spectrometry (HRMS) with high sample throughput has become an important analytical tool for the analysis of highly complex samples and data processing has become a major challenge for the user community. Evaluating direct-infusion HRMS data without automated tools for batch processing can be a time-consuming step in the analytical pipeline. Therefore, we developed a new browser-based software tool for processing HRMS data. Methods The software, named UltraMassExplorer (UME), was written in the R programming language using the shiny library to build the graphical user interface. The performance of the integrated formula library search algorithm was tested using HRMS data derived from analyses of up to 50 extracts of marine dissolved organic matter. Results The software supports the processing of lists of calibrated masses of neutral, protonated or deprotonated molecules, with masses of up to 700 Da and a mass accuracy <3 ppm. In the performance test, the number of assigned peaks per second increased with the number of submitted peaks and reached a maximum rate of 4745 assigned peaks per second. Conclusions UME offers a complete data evaluation pipeline comprising a fast molecular formula assignment algorithm allowing for the swift reanalysis of complete datasets, advanced filter functions and the export of data, metadata and publication-quality graphics. Unique to UME is a fast and interactive connection between data and their visual representation. UME provides a new platform enabling an increased transparency, customization, documentation and comparability of datasets.},
   ISSN = {0951-4198},
   DOI = {10.1002/rcm.8315},
   url = {<Go to ISI>://WOS:000453685100005
https://core.ac.uk/download/162028017.pdf},
   year = {2019},
   type = {Journal Article}
}
@article{RN8363,
   author = {LaRowe, Douglas E. and Van Cappellen, Philippe},
   title = {Degradation of natural organic matter: A thermodynamic analysis},
   journal = {Geochimica et Cosmochimica Acta},
   volume = {75},
   number = {8},
   pages = {2030-2042},
   abstract = {The oxidative degradation of organic matter is a key process in the biogeochemical functioning of the earth system. Quantitative models of organic matter degradation are therefore essential for understanding the chemical state and evolution of the Earth’s near-surface environment, and to forecast the biogeochemical consequences of ongoing regional and global change. The complex nature of biologically produced organic matter represents a major obstacle to the development of such models, however. Here, we compare the energetics of the oxidative degradation of a large number of naturally occurring organic compounds. By relating the Gibbs energies of half reactions describing the complete mineralization of the compounds to their average nominal carbon oxidation state, it becomes possible to estimate the energetic potential of the compounds based on major element (C, H, N, O, P, S) ratios. The new energetic description of organic matter can be combined with bioenergetic theory to rationalize observed patterns in the decomposition of natural organic matter. For example, the persistence of cell membrane derived compounds and complex organics in anoxic settings is consistent with their limited catabolic potential under these environmental conditions. The proposed approach opens the way to include the thermodynamic properties of organic compounds in kinetic models of organic matter degradation.},
   ISSN = {0016-7037},
   DOI = {https://doi.org/10.1016/j.gca.2011.01.020},
   url = {http://www.sciencedirect.com/science/article/pii/S0016703711000378},
   year = {2011},
   type = {Journal Article}
}
@article{RN8353,
   author = {Koch, B. P. and Dittmar, T.},
   title = {From mass to structure: an aromaticity index for high-resolution mass data of natural organic matter},
   journal = {Rapid Communications in Mass Spectrometry},
   volume = {20},
   number = {5},
   pages = {926-932},
   abstract = {Recent progress in Fourier transform ion cyclotron resonance mass spectrometry (FTICRMS) has provided extensive molecular mass data for complex natural organic matter (NOM). Structural information can be deduced solely from the molecular masses for ions with extreme molecular element ratios, in particular low H/C ratios, which are abundant in thermally altered NOM (e.g. black carbon). In this communication we propose a general aromaticity index (AI) and two threshold values as unequivocal criteria for the existence of either aromatic (AI > 0.5) or condensed aromatic structures (AI ≥ 0.67) in NOM. AI can be calculated from molecular formulae which are derived from exact molecular masses of naturally occurring compounds containing C, H, O, N, S and P, and is especially useful for substances with aromatic cores and few alkylations. In order to test the validity of our model index, AI is applied to FTICRMS data of a NOM deep-water sample from the Weddell Sea (Antarctica), a fulvic acid standard, and an artificial dataset of all theoretically possible molecular formulae. For graphical evaluation a ternary plot is suggested for four-dimensional data representation. The proposed aromaticity index is a step towards structural identification of NOM and the molecular identification of polyaromatic hydrocarbons in the environment. Copyright © 2006 John Wiley & Sons, Ltd.},
   ISSN = {1097-0231},
   DOI = {10.1002/rcm.2386},
   url = {http://dx.doi.org/10.1002/rcm.2386},
   year = {2006},
   type = {Journal Article}
}
@article{RN7621,
   author = {Dittmar, T. and Koch, B. and Hertkorn, N. and Kattner, G.},
   title = {A simple and efficient method for the solid-phase extraction of dissolved organic matter (SPE-DOM) from seawater},
   journal = {Limnology and Oceanography-Methods},
   volume = {6},
   pages = {230-235},
   note = {Dittmar, Thorsten Koch, Boris Hertkorn, Norbert Kattner, Gerhard},
   abstract = {A simple protocol is presented for the solid-phase extraction of dissolved organic matter (SPE-DOM) from seawater using commercially prepacked cartridges. The method does not require major instrumentation and can be performed in the field. Modified styrene divinyl benzene polymer type sorbents ( Varian PPL and ENV) and sorbents of a silica structure bonded with different hydrocarbon chains ( Varian C8, C18, C18OH, and C18EWP) were considered. Except for C18OH, which heavily contaminated the samples, none of the sorbents leached significant amounts of dissolved organic carbon ( DOC) or nitrogen ( DON). Samples from the North Brazil shelf with strong mixing gradients of terrigenous and marine DOM were used to compare the various sorbents. PPL was the most efficient - on average, 62% of DOC was recovered as salt-free extracts. C18 was found to be most efficient among the silica-based sorbents, but it showed only two- thirds of the extraction efficiency of PPL. As indicated by [ H-1] NMR, C/ N, and delta C-13 analyses, PPL extracted a more representative proportion of DOM than C18. Therefore, PPL was used for comparative studies in the Gulf of Mexico and Antarctica. From brackish marsh and river waters, 65% and 62% of total DOC, respectively, could be extracted. For purely marine DOM in Antarctica and the deep sea, the extraction efficiency was lower ( 43% on average). The efficiency of the new method to isolate marine DOM is better than or similar to highly laborious methods. A further advantage is the complete desalination of the sample. The isolation of a major DOM fraction, which is salt- free, offers many possibilities to further characterize DOM by advanced analytical techniques.},
   ISSN = {1541-5856},
   url = {<Go to ISI>://WOS:000257341700004},
   year = {2008},
   type = {Journal Article}
}
@article{RN9115,
   author = {Kong, X. and Jendrossek, T. and Ludwichowski, K. U. and Marx, U. and Koch, B. P.},
   title = {Solid-Phase Extraction of Aquatic Organic Matter: Loading-Dependent Chemical Fractionation and Self-Assembly},
   journal = {Environ Sci Technol},
   volume = {55},
   number = {22},
   pages = {15495-15504},
   note = {Kong, Xianyu
Jendrossek, Thomas
Ludwichowski, Kai-Uwe
Marx, Ute
Koch, Boris P
eng
Research Support, Non-U.S. Gov't
Environ Sci Technol. 2021 Nov 16;55(22):15495-15504. doi: 10.1021/acs.est.1c04535. Epub 2021 Nov 4.},
   abstract = {Dissolved organic matter (DOM) is an important component in marine and freshwater environments and plays a fundamental role in global biogeochemical cycles. In the past, optical and molecular-level analytical techniques evolved and improved our mechanistic understanding about DOM fluxes. For most molecular chemical techniques, sample desalting and enrichment is a prerequisite. Solid-phase extraction has been widely applied for concentrating and desalting DOM. The major aim of this study was to constrain the influence of sorbent loading on the composition of DOM extracts. Here, we show that increased loading resulted in reduced extraction efficiencies of dissolved organic carbon (DOC), fluorescence and absorbance, and polar organic substances. Loading-dependent optical and chemical fractionation induced by the altered adsorption characteristics of the sorbent surface (styrene divinylbenzene polymer) and increased multilayer adsorption (DOM self-assembly) can fundamentally affect biogeochemical interpretations, such as the source of organic matter. Online fluorescence monitoring of the permeate flow allowed to empirically model the extraction process and to assess the degree of variability introduced by changing the sorbent loading in the extraction procedure. Our study emphasizes that it is crucial for sample comparison to keep the relative DOC loading (DOCload [wt %]) on the sorbent always similar to avoid chemical fractionation.},
   keywords = {Carbon
*Chemical Fractionation
*Solid Phase Extraction
Spectrometry, Fluorescence
*EEMs
*parafac
*rp-hplc
*dissolved organic matter
*fluorescence spectroscopy
*multilayer adsorption
*polarized light microscopy
*scanning electron microscopy},
   ISSN = {1520-5851 (Electronic)
0013-936X (Linking)},
   DOI = {10.1021/acs.est.1c04535},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/34735124},
   year = {2021},
   type = {Journal Article}
}
@article{RN8365,
   author = {Reemtsma, T.},
   title = {The carbon versus mass diagram to visualize and exploit FTICR-MS data of natural organic matter},
   journal = {J Mass Spectrom},
   volume = {45},
   number = {4},
   pages = {382-90},
   note = {Reemtsma, Thorsten
eng
England
2010/03/04 06:00
J Mass Spectrom. 2010 Apr;45(4):382-90. doi: 10.1002/jms.1722.},
   abstract = {A two-dimensional diagram is proposed, in which the carbon number of each formula is plotted against its nominal mass, to visualize large sets of molecular formula data that can be derived from data generated by ultrahigh-resolution Fourier transform ion cyclotron resonance-MS. In such a carbon versus mass (CvM) diagram, each formula (C(c)H(h)O(o)) is unambiguously described by c, its (nominal) mass and the parameter i = c + o. Calculations of chemically allowable formulas illustrate that organic molecules occupy only certain spaces in such a diagram. The extension of these spaces increases with molecular mass in x-direction (hydrogenation) and y-direction (oxygenation). The data sets of molecules determined in natural organic matter(NOM) occupy only a certain range of the allowable space. The intensity of the mass spectrometric signals can be included as the third dimension into a CvM diagram. Separate CvM diagrams can be plotted for NOM molecules that include different heteroatoms. The benefits of the CvM diagram are illustrated by application onto data sets of fulvic acids from riverine and marine origin, of secondary organic aerosol, including organosulfates and organonitrates, as well as of ozonation of fulvic acids. The CvM diagram is a useful tool to visualize the elemental regularities in NOM isolates as well as the differences between isolates. It may also be applicable to large sets of molecular formula data generated in other disciplines such as petroleum biogeochemistry or metabolomics.},
   keywords = {FT-ICR-MS},
   ISSN = {1096-9888 (Electronic)
1076-5174 (Linking)},
   DOI = {10.1002/jms.1722},
   url = {https://www.ncbi.nlm.nih.gov/pubmed/20198604},
   year = {2010},
   type = {Journal Article}
}

















