Applicability of Henry's law to hydrogen, helium, and nitrogen solubilities in water and olive oil at 37 degrees C and pressures up to 300 atmospheres

The solubilities of pure hydrogen, helium, and nitrogen in water and olive oil were measured at 37 degrees C at gas-saturation pressures from 25 to 300 atmospheres. Rigorous thermodynamic criteria were used to assess the applicability of Henry's law to the pressure dependence of the gas solubility in each system. The solubilities of the three gases in water and helium in olive oil followed Henry's law as given by the Krichevsky-Kasarnovsky equation. In contrast, hydrogen and nitrogen in olive oil each attained concentrations high enough to cause significant concentration-dependent variations of the dissolved gas activity coefficient and/or partial molal volume. The consequent deviations from Henry's law were greatest in the nitrogen-oil system, where mole fraction nitrogen solubilities calculated from the Krichevsky-Kasarnovsky equation exceeded measured values by 8, 14, and 23% at 50, 100, and 250 atm, respectively. Incorporation of results into the critical volume model of nitrogen anesthesia, using olive oil as a model of the physiological anesthetic site and literature data for the anesthetic potency of nitrogen in mice breathing high-pressure He-N2-O2 atmospheres, shows that nonideal solution behavior may become important for gases dissolved in physiological hydrophobic regions at biologically active concentrations, even if dissolved gas binding to proteins or other macromolecules is not involved.     

Mathematical models of diffusion-limited gas bubble dynamics in tissue

Mathematical models of bubble evolution in tissue have recentlybeen incorporated into risk functions for predicting the incidence ofdecompression sickness (DCS) in human subjects after diving and/or flying exposures. Bubble dynamics models suitable forthese applications assume the bubble to be either contained in anunstirred tissue (two-region model) or surrounded by a boundary layerwithin a well-stirred tissue (three-region model). The contrastingpremises regarding the bubble-tissue system lead to differentexpressions for bubble dynamics described in terms of ordinarydifferential equations. However, the expressions are shown to bestructurally similar with differences only in the definitions ofcertain parameters that can be transformed to make the modelsequivalent at large tissue volumes. It is also shown that thetwo-region model is applicable only to bubble evolution in tissues ofinfinite extent and cannot be readily applied to bubble evolution infinite tissue volumes to simulate how such evolution is influenced byinteractions among multiple bubbles in a given tissue. Two-regionmodels that are incorrectly applied in such cases yield results thatmay be reinterpreted in terms of their three-region model equivalents but only if the parameters in the two-region model transform into consistent values in the three-region model. When such transforms yieldinconsistent parameter values for the three-region model, results maybe qualitatively correct but are in substantial quantitative error.Obviation of these errors through appropriate use of the differentmodels may improve performance of probabilistic models of DCSoccurrence that express DCS risk in terms of simulated in vivo gas andbubble dynamics.     

Genome size evolution of the extant lycophytes and ferns

Ferns and lycophytes have remarkably large genomes. However, little is known about how their genome size evolved in fern lineages. To explore the origins and evolution of chromosome numbers and genome size in ferns, we used flow cytometry to measure the genomes of 240 species (255 samples) of extant ferns and lycophytes comprising 27 families and 72 genera, of which 228 species (242 samples) represent new reports. We analyzed correlations among genome size, spore size, chromosomal features, phylogeny, and habitat type preference within a phylogenetic framework. We also applied ANOVA and multinomial logistic regression analysis to preference of habitat type and genome size. Using the phylogeny, we conducted ancestral character reconstruction for habitat types and tested whether genome size changes simultaneously with shifts in habitat preference. We found that 2C values had weak phylogenetic signal, whereas the base number of chromosomes (x) had a strong phylogenetic signal. Furthermore, our analyses revealed a positive correlation between genome size and chromosome traits, indicating that the base number of chromosomes (x), chromosome size, and polyploidization may be primary contributors to genome expansion in ferns and lycophytes. Genome sizes in different habitat types varied significantly and were significantly correlated with habitat types; specifically, multinomial logistic regression indicated that species with larger 2C values were more likely to be epiphytes. Terrestrial habitat is inferred to be ancestral for both extant ferns and lycophytes, whereas transitions to other habitat types occurred as the major clades emerged. Shifts in habitat types appear be followed by periods of genomic stability. Based on these results, we inferred that habitat type changes and multiple whole-genome duplications have contributed to the formation of large genomes of ferns and their allies during their evolutionary history.     

Microassay for ammonium by determination of ammonia nitrogen in a nitrogen analyzer

The method described comprises the transformation of ammonium into ammonia, the rapid and gentle liberation of the ammonia followed by the measurement of the nitrogen in a Dohrmann nitrogen analyzer. Untreated biological samples (1-50 microliters) were pipetted onto magnesium oxide tablets at 130 degrees C and the ammonia liberated was transferred by a continuous stream of nitrogen carrier gas into the nitrogen analyzer. There the ammonia was determined by oxidative pyrolysis and subsequent chemiluminescence measurement of the excited NO2. The result could be read in nanograms ammonia nitrogen within 6.5 min. Apart from volatile amines, which are usually negligible in biological samples, the method was specific for ammonia because under the given conditions of volatilization the labile groups of glutamine and asparagine did not interfere. The assay was sensitive in the range of 1.5-150 nmol ammonia and suitable for the routine analysis of small samples.