Production of glucose from the acid hydrolysis of anhydrosugars

Acid hydrolysis of levoglucosan and cellobiose as anhydrosugar model compounds was carried out in an autoclave Parr reaction system, using sulphuric acid as catalyst. In addition, acid hydrolysis was carried out using an anhydrosugars mixture from the aqueous fraction of a pyrolysis oil or bio-oil. The bio-oil was obtained from the fast pyrolysis of birch-wood, and the segregated aqueous fraction was found to contain mainly levoglucosan with a concentration of 30 g L-1. Three main hydrolysis parameters including temperature, reaction time, and catalyst to substrate ratios were varied in order to identify their influence towards glucose production. It was found that at hydrolysis conditions of 120 °C, 60 minutes, and a catalyst/substrate ratio of 0.9; glucose yields of 98.55% and 96.56%, and conversion of substrates of 100% and ~92%, were achieved when hydrolysing cellobiose and levoglucosan respectively. An increase in the hydrolysis temperature from 120 °C to 135 °C, resulted in a decrease in the glucose yield and selectivity. Whereas high conversions of substrates (~90%) were maintained for both anhydrosugars. This was attributed to the further dehydration reactions of glucose, possibly yielding HMF or levulinic acid. During the acid hydrolysis of the bio-oil aqueous fraction, a range of hydrolysis conditions suitable to achieve glucose yields higher than 90%, was depicted. It was found that catalyst/substrate molar ratios between 0.17-0.90 and temperatures between 118 °C and 126 °C were suitable conditions to achieve glucose yields ~100% (30 g L-1). Furthermore, glucose concentrations ~117% (35 g L-1) and levoglucosan conversions above 90%, were attained at 135 °C, 20 minutes reaction time and at an estimated catalyst/substrate molar ratio of 0.2 (H2SO4, 0.5 M)

Quantitative traits for the tail suspension test: automation, optimization, and BXD RI mapping

Immobility in the tail suspension test (TST) is considered a model of despair in a stressful situation, and acute treatment with antidepressants reduces immobility. Inbred strains of mouse exhibit widely differing baseline levels of immobility in the TST and several quantitative trait loci (QTLs) have been nominated. The labor of manual scoring and various scoring criteria make obtaining robust data and comparisons across different laboratories problematic. Several studies have validated strain gauge and video analysis methods by comparison with manual scoring. We set out to find objective criteria for automated scoring parameters that maximize the biological information obtained, using a video tracking system on tapes of tail suspension tests of 24 lines of the BXD recombinant inbred panel and the progenitor strains C57BL/6J and DBA/2J. The maximum genetic effect size is captured using the highest time resolution and a low mobility threshold. Dissecting the trait further by comparing genetic association of multiple measures reveals good evidence for loci involved in immobility on chromosomes 4 and 15. These are best seen when using a high threshold for immobility, despite the overall better heritability at the lower threshold. A second trial of the test has greater duration of immobility and a completely different genetic profile. Frequency of mobility is also an independent phenotype, with a distal chromosome 1 locus

Focused action is required to protect ethnic minority populations from COVID-19 post-lockdown

Since the association between COVID-19 and ethnicity was first noted in April 2020,1 numerous large-scale national datasets have been analysed.2–6 The evidence is clear — ethnicity is a key risk factor for adverse COVID-19 outcome, alongside age, male sex, obesity, deprivation, and comorbidities.7 There are significant ethnic inequalities in the risk of admission to hospital and risk of death from COVID-19. Black and South Asian ethnic groups are at greatest risk, although most ethnic minorities have been shown to have increased risk when compared with white populations.7 Beyond admission to hospital and mortality risk, there is also concern over longer-term impacts, that is, post-acute COVID-19,8 which could significantly impact ethnic minority populations

The Digital Life of Walkable Streets

Walkability has many health, environmental, and economic benefits. That is why web and mobile services have been offering ways of computing walkability scores of individual street segments. Those scores are generally computed from survey data and manual counting (of even trees). However, that is costly, owing to the high time, effort, and financial costs. To partly automate the computation of those scores, we explore the possibility of using the social media data of Flickr and Foursquare to automatically identify safe and walkable streets. We find that unsafe streets tend to be photographed during the day, while walkable streets are tagged with walkability-related keywords. These results open up practical opportunities (for, e.g., room booking services, urban route recommenders, and real-estate sites) and have theoretical implications for researchers who might resort to the use social media data to tackle previously unanswered questions in the area of walkability.Comment: 10 pages, 7 figures, Proceedings of International World Wide Web Conference (WWW 2015

Collimated hot electron generation from sub-wavelength grating target irradiated by a femtosecond laser pulse of relativistic intensity

We investigate the production of hot electrons from the interaction of relativistically intense ($I> 10^{18} W/cm^{2}$) ultra-short (25 fs) laser pulses with sub-wavelength grating target. We measure the hot electron angular distribution and energy spectra for grating target and compare them with those from a planar mirror target. We observe that hot electrons are emitted in a collimated beam along the specular direction of the grating target. From the measured electron energy spectra we see electron temperature for grating is higher than the mirror, suggesting a higher electron yield and hence a stronger coupling with the laser. We performed numerical simulations which are in good agreement with experimental results, offer insights into the acceleration mechanism by resulting electric and magnetic fields. Such collimated fast electron beams have a wide range of applications in applied and fundamental science.Comment: 6 figure

Generation of a strong reverse shock wave in the interaction of a high-contrast high-intensity femtosecond laser pulse with a silicon target

We present ultrafast pump-probe reflectivity and Doppler spectrometry of a silicon target at relativistic laser intensity. We observe an unexpected rise in reflectivity to a peak approximately9 ps after the main pulse interaction with the target. This occurs after the reflectivity has fallen off from the initially high “plasma-mirror” phase. Simultaneously measured time-dependent Doppler shift data show an increase in the blue shift at the same time. Numerical simulations show that the aforementioned trends in the experimental measurements correspond to a strong shock wave propagating back toward the laser. The relativistic laser-plasma interaction indirectly heats the cool-dense (ne 10^23 cm^-3 and Te ~10eV) target material adjacent to the corona, by hot electron induced return current heating, raising its temperature to around 150eV and causing it to explode violently. The increase in reflectivity is caused by the transient steepening of the plasma density gradient at the probe critical surface due to this explosive behavior

Tissue Proteome of 2-Hydroxyacyl-CoA Lyase Deficient Mice Reveals Peroxisome Proliferation and Activation of ω-Oxidation

Peroxisomal fatty acid α-oxidation is an essential pathway for the degradation of β-carbon methylated fatty acids such as phytanic acid. One enzyme in this pathway is 2-hydroxyacyl CoA lyase (HACL1), which is responsible for the cleavage of 2-hydroxyphytanoyl-CoA into pristanal and formyl-CoA. Hacl1 deficient mice do not present with a severe phenotype, unlike mice deficient in other α-oxidation enzymes such as phytanoyl-CoA hydroxylase deficiency (Refsum disease) in which neuropathy and ataxia are present. Tissues from wild-type and Hacl1−/− mice fed a high phytol diet were obtained for proteomic and lipidomic analysis. There was no phenotype observed in these mice. Liver, brain, and kidney tissues underwent trypsin digestion for untargeted proteomic liquid chromatography-mass spectrometry analysis, while liver tissues also underwent fatty acid hydrolysis, extraction, and derivatisation for fatty acid gas chromatography-mass spectrometry analysis. The liver fatty acid profile demonstrated an accumulation of phytanic and 2-hydroxyphytanic acid in the Hacl1−/− liver and significant decrease in heptadecanoic acid. The liver proteome showed a significant decrease in the abundance of Hacl1 and a significant increase in the abundance of proteins involved in PPAR signalling, peroxisome proliferation, and omega oxidation, particularly Cyp4a10 and Cyp4a14. In addition, the pathway associated with arachidonic acid metabolism was affected; Cyp2c55 was upregulated and Cyp4f14 and Cyp2b9 were downregulated. The kidney proteome revealed fewer significantly upregulated peroxisomal proteins and the brain proteome was not significantly different in Hacl1−/− mice. This study demonstrates the powerful insight brought by proteomic and metabolomic profiling of Hacl1−/− mice in better understanding disease mechanism in fatty acid α-oxidation disorders