Calculation of the retention time of the “air peak” in gas chromatograms

Hansen, H.; Andresen, K

doi:10.1016/0021-9673(68)80043-3

Cited by 23 publications

(3 citation statements)

References 2 publications

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“…Fatty acids were identi"ed by spiking, the adjusted retention times and equivalent chain lengths (Miwa et al, 1960;Hansen and Andresen, 1968;Flanzy et al, 1976;Kramer et al, 1985;Ackman, 1987;Bannon et al, 1988;Christie, 1988) as applied to "sh fatty acids. A total of 36 saturated, monounsaturated and polyunsaturated fatty acid standards (Sigma and Polyscience, U.S.A.) were used, along with PUFA-1 and PUFA-2 of Supelco (U.S.A.).…”

Section: Determination Of Fatty Acid Compositionmentioning

confidence: 99%

Total Lipid, Cholesterol, and Fatty Acids of Farmed Freshwater Prawn (Macrobrachium rosenbergii) and Wild Marine Shrimp (Penaeus brasiliensis, Penaeus schimitti, Xiphopenaeus kroyeri)

Bragagnolo

Rodriguez–Amaya

2001

Journal of Food Composition and Analysis

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Section: Determination Of Fatty Acid Compositionmentioning

confidence: 99%

Total Lipid, Cholesterol, and Fatty Acids of Farmed Freshwater Prawn (Macrobrachium rosenbergii) and Wild Marine Shrimp (Penaeus brasiliensis, Penaeus schimitti, Xiphopenaeus kroyeri)

Bragagnolo

Rodriguez–Amaya

2001

Journal of Food Composition and Analysis

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“…(21) and (23) with fR,J, tR,2 and tR,3 retention times of equidistant homologs. Equation (37) has been known for many years and was proposed by Haferkamp in [23], by Hansen and Andresen [24], and in a slightly different form already in 1959 by Peterson and Hirsch [9].…”

Section: Resultsmentioning

confidence: 98%

Evaluation of dead time calculation in liquid chromatography using a linearization procedure for homologous series

Tulder

Franke

Zeeuw

1987

J. High Resol. Chromatogr.

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SummaryA mathematical method for the calculation of the dead time (tM) in HPLC was evaluated using a computer simulationapproach, in which artificial perturbations were introduced to simulated homolog retention times. The calculation was based on a modified and extended Grobler and Balisz (GB) method. Investigated was how the precision of the calculated tM is affected by: statistical fluctuations in retention timesand which, and how many homolog retention times are used. Based on these simulations a two-step procedure for the tM calculation is proposed: In the first step the linearity of log tR,, vs carbon number n is checked using as many homolog retention times as possible. The slope value bo of the first linear regression in the GB method is used for the selection of homolog retention times in the final tM calculation. In the second step the optimal selection of homologs is made and the final ty calculation is carried out. Guidelines for homolog selection are given.

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“…To compare the retention times and mass spectra and quantify the FAMEs, we used a standard mix (Supelco Component FAME Mix). For the FAMEs that were not included in the standard, equivalent chain lengths (ECLs) were calculated (Hansen and Andresen, 1968;Bannon et al, 1988) and compared, with ECLs described for the same column (Santercole et al, 2012). The calibration curves of similar fatty acids were used for the quantification of FAMEs identified by the ECLs.…”

Section: Phospholipid-derived Fatty Acid Extraction and Bayesian Mixementioning

confidence: 99%

Organic matter quality structures benthic fatty acid patterns and the abundance of fungi and bacteria in temperate lakes

Taube

Ganzert

Grossart

et al. 2018

Science of The Total Environment

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Benthic microbial communities (BMCs) play important roles in the carbon cycle of lakes, and benthic littoral zones in particular have been previously highlighted as biogeochemical hotspots. Dissolved organic matter (DOM) presents the major carbon pool in lakes, and although the effect of DOM composition on the pelagic microbial community composition is widely accepted, little is known about its effect on BMCs, particularly aquatic fungi. Therefore, we investigated the composition of benthic littoral microbial communities in twenty highly diverse lakes in northeast Germany. DOM quality was analyzed via size exclusion chromatography (SEC), fluorescence parallel factor analyses (PRAFACs) and UV-Vis spectroscopy. We determined the BMC composition and biomass using phospholipid-derived fatty acids (PLFA) and extended the interpretation to the analysis of fungi by applying a Bayesian mixed model. We present evidence that the quality of DOM structures the BMCs, which are dominated by heterotrophic bacteria and show low fungal biomass. The fungal biomass increases when the DOM pool is processed by microorganisms of allochthonous origin, whereas the opposite is true for bacteria.

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Calculation of the retention time of the “air peak” in gas chromatograms

Cited by 23 publications

References 2 publications

Total Lipid, Cholesterol, and Fatty Acids of Farmed Freshwater Prawn (Macrobrachium rosenbergii) and Wild Marine Shrimp (Penaeus brasiliensis, Penaeus schimitti, Xiphopenaeus kroyeri)

Total Lipid, Cholesterol, and Fatty Acids of Farmed Freshwater Prawn (Macrobrachium rosenbergii) and Wild Marine Shrimp (Penaeus brasiliensis, Penaeus schimitti, Xiphopenaeus kroyeri)

Evaluation of dead time calculation in liquid chromatography using a linearization procedure for homologous series

Organic matter quality structures benthic fatty acid patterns and the abundance of fungi and bacteria in temperate lakes

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