RESUMO
The ozone profile records of a large number of limb and occultation satellite instruments are widely used to address several key questions in ozone research. Further progress in some domains depends on a more detailed understanding of these data sets, especially of their long-term stability and their mutual consistency. To this end, we made a systematic assessment of fourteen limb and occultation sounders that, together, provide more than three decades of global ozone profile measurements. In particular, we considered the latest operational Level-2 records by SAGE II, SAGE III, HALOE, UARS MLS, Aura MLS, POAM II, POAM III, OSIRIS, SMR, GOMOS, MIPAS, SCIAMACHY, ACE-FTS and MAESTRO. Central to our work is a consistent and robust analysis of the comparisons against the ground-based ozonesonde and stratospheric ozone lidar networks. It allowed us to investigate, from the troposphere up to the stratopause, the following main aspects of satellite data quality: long-term stability, overall bias, and short-term variability, together with their dependence on geophysical parameters and profile representation. In addition, it permitted us to quantify the overall consistency between the ozone profilers. Generally, we found that between 20-40 km the satellite ozone measurement biases are smaller than ±5 %, the short-term variabilities are less than 5-12% and the drifts are at most ±5% decade-1 (or even ±3 % decade-1 for a few records). The agreement with ground-based data degrades somewhat towards the stratopause and especially towards the tropopause where natural variability and low ozone abundances impede a more precise analysis. In part of the stratosphere a few records deviate from the preceding general conclusions; we identified biases of 10% and more (POAM II and SCIAMACHY), markedly higher single-profile variability (SMR and SCIAMACHY), and significant long-term drifts (SCIAMACHY, OSIRIS, HALOE, and possibly GOMOS and SMR as well). Furthermore, we reflected on the repercussions of our findings for the construction, analysis and interpretation of merged data records. Most notably, the discrepancies between several recent ozone profile trend assessments can be mostly explained by instrumental drift. This clearly demonstrates the need for systematic comprehensive multi-instrument comparison analyses.
RESUMO
Integrated light-scattering (ILS) spectroscopy was used to monitor the binding of the colicin E1 channel peptide to POPC:POPG large unilamellar vesicles (LUV; 60:40, mol:mol) at acidic pH (3.5). Binding conditions were chosen such that nearly all of the channel peptide was bound to the vesicles with little free peptide remaining in solution. The increase in vesicle size upon the insertion of the channel peptide was measured by performing a discrete inversion technique on data obtained from an ILS spectrometer. Vesicle size number distributions were determined for five different systems having peptide/vesicle ratios of approximately 0, 77, 154, 206, and 257. The experiment was repeated four times (twice at two different vesicle concentrations) to determine reproducibility. The relative changes in vesicle radius upon peptide binding to the membrane vesicles was remarkably reproducible even though these changes represented only a few nanometers. A comparison of vesicle size number distributions in the absence of bound peptide was made between ILS and dynamic light scattering (DLS) data and showed similar results. However, DLS was incapable of detecting the small changes due to peptide-induced vesicle swelling. The membrane-bound volume of the colicin E1 channel peptide was approximately 177 +/- 22 nm3. These data indicate that in the absence of a membrane potential (closed channel state) the colicin E1 channel peptide inserts into the membrane resulting in a significant displacement of the lipid bilayer as evidenced from the dose-dependent increase in the vesicle radius. These results indicate that ILS spectroscopy is a sensitive sizing technique that is capable of detecting relatively small changes in membrane vesicles and may have a wide application in the determination of peptide binding to membrane vesicles.
