Throughflow Velocity Crossing the Dome of Erupting Bubbles in 2-D Fluidized Beds

A new non-intrusive method for measuring the throughflow velocity crossing the dome of erupting bubbles in freely bubbling 2-D fluidized beds is presented. Using a high speed video-camera, the dome acceleration, drag force and throughflow velocity profiles are obtained for different experiments, varying the superficial gas velocity. The acceleration profiles show greater values in the dome zone where the gravity component is negligible. The drag force and the throughflow velocity profiles show a uniform value in the central region of the dome (40 deg \u3c \u3c 140 deg) and the total throughflow increases with the superficial gas velocity

Hydrodynamic Characteristics of a Fluidized Bed with Rotating Distributor

The performance of a novel rotating distributor fluidized bed is presented. The pressure drop and the standard deviation of pressure fluctuations, σp, were used to find the minimum fluidization velocity, Umf, and to characterize the quality of fluidization at different rotational speeds of the distributor plate. Experiments were conducted in the freely bubbling regime in a 0.19 m i.d. fluidized bed, operating with Group B particles according to Geldart’s classification. A decrease in Umf is observed when the rotational speed increases. Frequency analysis of pressure fluctuations shows that fluidization can be controlled by the adjustable rotational speed, at several excess gas velocities

Organized Disassembly of Photosynthesis During Programmed Cell Death Mediated By Long Chain Bases.

In plants, pathogen triggered programmed cell death (PCD) is frequently mediated by polar lipid molecules referred as long chain bases (LCBs) or ceramides. PCD interceded by LCBs is a well-organized process where several cell organelles play important roles. In fact, light-dependent reactions in the chloroplast have been proposed as major players during PCD, however, the functional aspects of the chloroplast during PCD are largely unknown. For this reason, we investigated events that lead to disassembly of the chloroplast during PCD mediated by LCBs. To do so, LCB elevation was induced with Pseudomonas syringae pv. tomato (a non-host pathogen) or Fumonisin B1 in Phaseolus vulgaris. Then, we performed biochemical tests to detect PCD triggering events (phytosphingosine rises, MPK activation and H2O2 generation) followed by chloroplast structural and functional tests. Observations of the chloroplast, via optical phenotyping methods combined with microscopy, indicated that the loss of photosynthetic linear electron transport coincides with the organized ultrastructure disassembly. In addition, structural changes occurred in parallel with accumulation of H2O2 inside the chloroplast. These features revealed the collapse of chloroplast integrity and function as a mechanism leading to the irreversible execution of the PCD promoted by LCBs

Separation and Determination of Some of the Main Cholesterol-Related Compounds in Blood by Gas Chromatography-Mass Spectrometry (Selected Ion Monitoring Mode)

Oxysterols are metabolites produced in the first step of cholesterol metabolism, which is related to neurodegenerative disorder. They can be detected by testing blood, plasma, serum, or cerebrospinal fluid. In this study, some cholesterol precursors and oxysterols were determined by gas chromatography coupled to mass spectrometry. The selected cholesterol-related compounds were desmosterol, lathosterol, lanosterol, 7 -hydroxycholesterol, 7 -hydroxycholesterol, 24(S)-hydroxycholesterol, 25-hydroxycholesterol, 7-ketocholesterol, and 27-hydroxycholesterol. A powerful method was developed and validated considering various analytical parameters, such as linearity index, detection and quantification limits, selectivity and matrix effect, precision (repeatability), and trueness (recovery factor) for each cholesterol-related compound. 7 -hydroxycholesterol, 7 -hydroxycholesterol, and desmosterol exhibited the lowest detection and quantification limits, with 0.01 and 0.03 g/mL, respectively, in the three cases. 7-ketocholesterol and lathosterol showed matrix effect percentages between 95.5% and 104.8%, respectively (demonstrating a negligible matrix effect), and very satisfactory repeatability values (i.e., overall performance of the method). Next, the method was applied to the analysis of a very interesting selection of mouse plasma samples (9 plasma extracts of non-transgenic and transgenic mice that had been fed different diets). Although the number of samples was limited, the current study led to some biologically relevant conclusions regarding brain cholesterol metabolism.The authors are grateful for the interesting collaboration with the biotechnology-based company Neuron Bio. The research project was funded by CEI BioTic/University of Granad

Markovian Chemicals “in silico” Design (MARCH-INSIDE), a Promising Approach for Computer-Aided Molecular Design III: 2.5D Indices for the Discovery of Antibacterials

The 9th International Electronic Conference on Synthetic Organic Chemistry session Computational ChemistryThe present work continues our series on the use of MARCH-INSIDE molecular descriptors [parts I and II: J. Mol. Mod. (2002) 8: 237-245 and (2003) 9: 395-407]. These descriptors encode information regarding to the distribution of electrons in the molecule based on a simple stochastic approach to the idea of electronegativity equalization (Sanderson’s principle). Here, 3D-MARCH-INSIDE molecular descriptors for 667 organic compounds are used as input for a Linear Discriminant Analysis. This 2.5D-QSAR model discriminates between antibacterial compounds and non-antibacterial ones with a 92.9 % of accuracy in training sets. On the other hand, the model classifies correctly 94.0 % of the compounds in test set. Additionally, the present QSAR performs similar-to-better than other methods reported elsewhere. Finally, the discovery of a novel compound illustrates the use of the method. This compound, 2-bromo-3-(furan-2-yl)-3-oxo-propionamide have MIC50 of 6.25 and 12.50 µg/mL against Ps. Aeruginosa ATCC 27853 and E. Coli ATCC 27853 respectively while ampicillim, amoxicillim, clindamycin, and metronidazole have, for instance, MIC50 values higher 250 µg/mL against E. Coli. Consequently, the present method may becomes a useful tool for the in silico discovery of antibacterialsWe thank the Spanish Ministry of Science and Technology (SAF2003-02222), for partial financial support. Molina RR, Castañedo C, and Almeida SM, acknowledges support from the Universität Rostock, German

Socio-demographic determinants of coinfections by HIV, hepatitis B and hepatitis C viruses in central Italian prisoners

BACKGROUND: The coinfections HIV/HCV/HBV are an important health issue in penitentiary communities. The aim of the study was to examine HIV, HBV and HCV coinfections determinants amongst prisoners in the jails of Southern Lazio (Central Italy), in the period 1995-2000. METHODS: Diagnosis of seropositivities for HIV, HBV and HCV was made using ELISA method. A multiple logistic regression analysis was conducted to verify the influence of socio-demographic factors on the HIV/HBV/HCV coinfections. RESULTS: HIV/HCV, HBV/HCV and HIV/HBV coinfections were detected in 42 (4%), 203 (17.9%) and 31 (2.9%) inmates, respectively. These coinfections are significantly associated with the status of drug addiction (OR = 16.02; p = 0.012; OR = 4.15; p < 0.001; OR = 23.57; p = 0.002), smoking habits (OR = 3.73; p = 0.033; OR = 1.42; p = 0.088; OR = 4.25; p = 0.053) and Italian nationality (OR = 7.05; p = 0.009; OR = 2.31; p < 0.001; OR = 4.61; p = 0.04). CONCLUSION: The prevalence of HIV, HBV and HCV seropositivity in jails suggests that information and education programs for inmates could be useful to reduce the spread of such infections

Bioinformatics analysis of mutations in SARSCoV- 2 and clinical phenotypes

1 p.-1 fig.-8 tab.Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), initially reported in Wuhan (China) hasspread worldwide. Like other viruses, SARS-CoV-2 accumulates mutations with each cycle of replication by continuously evolving a viral strain with one or more single nucleotide variants (SNVs). However, SNVs that cause severe COVID-19 or lead to immune escape or vaccine failure are not well understood. We aim to identify SNVs associated with severe clinical phenotypes.Methods: In this study, 27429 whole-genome aligned consensus sequences of SARS-CoV-2 were collected from genomic epidemiology of SARS-CoV-2 project in Spain (SeqCOVID) [1]. These samples were obtained from patients who required hospitalization and/or intensive care unit admission (ICU), excluding those registered in the first pandemic wave.Besides, 248 SARS-CoV-2 genomes were isolated from COVID-19 hospitalized patients from Gregorio Marañon General University Hospital (GMH) of which 142 were fully vaccinated. Bioinformatics tools using R and Python programming languages were developed and implemented comparing those to SARS-CoV-2 Wuhan-Hu-1 (reference genome).Results: Using a selection threshold mutational frequency 10%, 27 SNVs were expected to have association with hospitalization and ICU risk. The reference haplotype differing at the SNV coding for lysine at the residue 203 (N:R203K) was found to have negative association with COVID-19 hospitalization risk (p = 5.37 x 10-04). Similarly, a negative association was observed when the residue at 501 is replaced by tyrosine (S:N501Y) (p = 1.33 x 10-02). The application of a Chi-square test suggested that SNV-haplotypes coding for mutants residues such as (S:A222V, N:A220V, ORF10:V30L) and (ORF1a:T1001I, ORF1a:I2230T, S:N501Y, S:T716S, S:S982A, ORF8:Q27*, N:R203K, N:S235F) have negative associations with COVID-19 hospitalization risk (p = 6.58 x 10-07 and p = 2.27 x 10-16, respectively) and COVID-19 ICU risk (p = 1.15 x 10-02 and p = 2.51 x 10-02, respectively). Focusing on the SNV-haplotype coding the mutations (S:A222V, N:A220V, N:D377Y, ORF10:V30L) were observed to increase the risk of COVID-19 hospitalization (p = 2.71 x 10-04). Results from SARS-CoV-2 genomes analysis from GMH showed 63 coding SNVs which met the established threshold value. Applying a Chi-square test, the SNV-haplotype carrying coding variants for mutant residues in 5 ORF proteins and surface and membrane glycoprotein and nucleocapsid phosphoprotein was significantly associated with vaccine failure in hospitalized COVID-19 patients (p = 7.91 x 10-04).Conclusions: SNV-haplotypes carrying variants lead to non-synonymous mutations located along SARS-CoV-2 wholeproteome may influence COVID-19 severity and vaccine failure suggesting a functional role in the clinical outcome for COVID-19 patients.This research work was funded by the European Commission-NextGenerationEU (Regulation EU 2020/2094), through CSIC’s Global Health Platform (PTI Salud Global)Peer reviewe