3,508 research outputs found
Characterisation of chromatography adsorbents for antibody bioprocessing
Currently the purification of monoclonal antibodies for therapeutic purposes is
reliant on protein A affinity chromatography. The rapid growth of this class of
therapeutic and their high value makes the understanding of protein A
chromatography an important target. There is a range of commercially available
protein A chromatography media. The main differences between these media are
the support matrix type, the pore size, the particle size, the amount of ligand
attached to the matrix and the kind of protein A modification. The differences in
these factors give rise to differences in compressibility, chemical and physical
robustness, diffusion resistance and binding capacity of the adsorbents. The ideal
media would have high specificity, high mass transfer and binding capacity, low
non-specific adsorption and ligand leakage, incompressibility, resistance to alkaline
condition for sanitization, chemical stability and cost effectiveness. Current resins
offer a compromise, which balances what is achievable in respect of these features
giving rise to an array of different solutions. Measurement of these parameters is
often complex and agreed standards have yet to be determined. The objective of
this study is to further develop understanding of these measurements for the
assessment of the matrix performance.
This thesis employs a suite of techniques to characterise commercial and prototype
adsorbents. The adsorbents that will be looked at are MabSelect (GE Healthcare),
MabSelect Xtra (GE Healthcare), Prosep Ultra (Millipore), Protein A immobilised on
4CL Sepharose (GE Heatlhcare) in house and a prototype adsorbent with a Protein
A mimic ligand (Millipore). Both down-scaled techniques of fixed bed
chromatography, together with supporting analysis of equilibrium and dynamic
behaviours are used. The latter will adopt standard and novel ‘wet chemistry’
approaches together with the increasingly adopted techniques of laser scanning
confocal microscopy. Experiments are carried out using hIgG to study the static
capacity, adsorption equilibrium and dynamic capacity of adsorbents. Other
techniques will be used to study the kinetic uptake and desorption rates of
adsorbents in different conditions. A novel approach using confocal microscopy is
used to further understand the adsorption behaviour of individual beads of different
sizes.
The main results that were drawn from these techniques are that MabSelect Xtra
had the highest static capacity of 61.8mg/ml. It also showed the highest dynamic
capacity at 2 mins, 4 mins and 8 mins residence time (0.66cm Omnifit column, bed
height 6cm) when compared to other adsorbents. This is mainly due to the more
porous nature of the MabSelect Xtra beads, which increased the surface area
available for Protein A ligand immobilisation. From the adsorption equilibrium data
the Kd values ranged from 181nM to 36nM. Such low values are expected by
affinity adsorbents such as these. The uptake rate curves were similar for all the
adsorbents. Hence the difference in particle size, pore size, the type of ligand or the
material of the adsorbent itself did not have an effect on the uptake rate when
carried out in a batch mode. A similar behaviour was shown for the desorption
curves. The confocal analysis using a flow cell showed that all the adsorbents
showed a shrinking core effect except for the prototype where the hIgG didn’t
penetrate into the bead and was only attached to the surface of the bead. It was
found that the adsorption rate to the centre of each bead was linear. The different
particle sizes within any particular type of matrix and also across different matrix did
not result in different diffusion rates. From the adsorption curves produced it was
seen that smaller beads reached saturation much faster than larger beads at any
given time. This technique can have great benefits in understanding how individual
beads of different adsorbents behave in different circumstances
The Small Scale Velocity Dispersion of Galaxies: A Comparison of Cosmological Simulations
The velocity dispersion of galaxies on small scales ( Mpc),
, can be estimated from the anisotropy of the galaxy-galaxy
correlation function in redshift space. We apply this technique to
``mock-catalogs'' extracted from N-body simulations of several different
variants of Cold Dark Matter dominated cosmological models to obtain results
which may be consistently compared to similar results from observations. We
find a large variation in the value of in different
regions of the same simulation. We conclude that this statistic should not be
considered to conclusively rule out any of the cosmological models we have
studied. We attempt to make the statistic more robust by removing clusters from
the simulations using an automated cluster-removing routine, but this appears
to reduce the discriminatory power of the statistic. However, studying
as clusters with different internal velocity dispersions are
removed leads to interesting information about the amount of power on cluster
and subcluster scales. We also compute the pairwise velocity dispersion
directly and compare this to the values obtained using the Davis-Peebles
method, and find that the agreement is fairly good. We evaluate the models used
for the mean streaming velocity and the pairwise peculiar velocity distribution
in the original Davis-Peebles method by comparing the models with the results
from the simulations.Comment: 20 pages, uuencoded (Latex file + 8 Postscript figures), uses AAS
macro
Selection bias in the M_BH-sigma and M_BH-L correlations and its consequences
It is common to estimate black hole abundances by using a measured
correlation between black hole mass and another more easily measured observable
such as the velocity dispersion or luminosity of the surrounding bulge. The
correlation is used to transform the distribution of the observable into an
estimate of the distribution of black hole masses. However, different
observables provide different estimates: the Mbh-sigma relation predicts fewer
massive black holes than does the Mbh-L relation. This is because the sigma-L
relation in black hole samples currently available is inconsistent with that in
the SDSS sample, from which the distributions of L or sigma are based: the
black hole samples have smaller L for a given sigma or have larger sigma for a
given L. This is true whether L is estimated in the optical or in the NIR. If
this is a selection rather than physical effect, then the Mbh-sigma and Mbh-L
relations currently in the literature are also biased from their true values.
We provide a framework for describing the effect of this bias. We then combine
it with a model of the bias to make an estimate of the true intrinsic
relations. While we do not claim to have understood the source of the bias, our
simple model is able to reproduce the observed trends. If we have correctly
modeled the selection effect, then our analysis suggests that the bias in the
relation is likely to be small, whereas the relation is
biased towards predicting more massive black holes for a given luminosity. In
addition, it is likely that the Mbh-L relation is entirely a consequence of
more fundamental relations between Mbh and sigma, and between sigma and L. The
intrinsic relation we find suggests that at fixed luminosity, older galaxies
tend to host more massive black holes.Comment: 12 pages, 7 figures. Accepted by ApJ. We have added a figure showing
that a similar bias is also seen in the K-band. A new appendix describes the
BH samples as well as the fits used in the main tex
The Pairwise Peculiar Velocity Dispersion of Galaxies: Effects of the Infall
We study the reliability of the reconstruction method which uses a modelling
of the redshift distortions of the two-point correlation function to estimate
the pairwise peculiar velocity dispersion of galaxies. In particular, the
dependence of this quantity on different models for the infall velocity is
examined for the Las Campanas Redshift Survey. We make extensive use of
numerical simulations and of mock catalogs derived from them to discuss the
effect of a self-similar infall model, of zero infall, and of the real infall
taken from the simulation. The implications for two recent discrepant
determinations of the pairwise velocity dispersion for this survey are
discussed.Comment: minor changes in the discussion; accepted for publication in ApJ; 8
pages with 2 figures include
The Stellar Mass Fundamental Plane: The virial relation and a very thin plane for slow-rotators
Early-type galaxies -- slow and fast rotating ellipticals (E-SRs and E-FRs)
and S0s/lenticulars -- define a Fundamental Plane (FP) in the space of
half-light radius , enclosed surface brightness and velocity
dispersion . Since and are distance-independent
measurements, the thickness of the FP is often expressed in terms of the
accuracy with which and can be used to estimate sizes .
We show that: 1) The thickness of the FP depends strongly on morphology. If the
sample only includes E-SRs, then the observed scatter in is ,
of which only is intrinsic. Removing galaxies with
further reduces the observed scatter to ( intrinsic). The observed scatter increases to the usually
quoted in the literature if E-FRs and S0s are added. If the FP is defined using
the eigenvectors of the covariance matrix of the observables, then the E-SRs
again define an exceptionally thin FP, with intrinsic scatter of only
orthogonal to the plane. 2) The structure within the FP is most easily
understood as arising from the fact that and are nearly
independent, whereas the and correlations are nearly
equal and opposite. 3) If the coefficients of the FP differ from those
associated with the virial theorem the plane is said to be `tilted'. If we
multiply by the global stellar mass-to-light ratio and we account
for non-homology across the population by using S\'ersic photometry, then the
resulting stellar mass FP is less tilted. Accounting self-consistently for
gradients will change the tilt. The tilt we currently see suggests that
the efficiency of turning baryons into stars increases and/or the dark matter
fraction decreases as stellar surface brightness increases.Comment: 13 pages, 9 figures, 3 tables, accepted for publication in MNRA
- …