12 research outputs found
Effect of Configuration Addition of Precursors on Structure and Catalysis of Cu/SiO<sub>2</sub> Catalysts Prepared by Ammonia Evaporation–Hydrothermal Method
The
effect of a precursor’s configuration addition on the
texture, composition, morphology, and catalytic performance of Cu/SiO<sub>2</sub> catalysts, prepared by the ammonia evaporation–hydrothermal
method (AE–H), was investigated. Different configuration additions
of the precursor have significant impacts on the chrysocolla (Cu<sub>2</sub>Si<sub>2</sub>O<sub>5</sub>(OH)<sub>2</sub>) content, which
determines the metal copper specific surface area due to the differing
copper particle size and reducibility. The Lewis acid and basic sites
of the reduced catalyst surface are linearly dependent on the copper
specific surface area. In gas-phase hydrogenation of ethyl acetate
to ethanol, the Lewis basic and acid sites have a synergistic effect
on ethanol selectivity. The proper configuration addition of the precursors
gave rise to the highest ethanol selectivity of 96% at reaction conditions
of <i>P</i> = 2.40 MPa, <i>T</i> = 553 K, H<sub>2</sub>/AcOEt (molar ratio) = 40, liquid hourly space velocity (LHSV)
= 1 h<sup>–1</sup>, and AcOEt/H<sub>2</sub>O/EtOH (mass ratio)
= 90/6/4
Table_1_Association between blood chromium and hepatic steatosis assessed by liver ultrasound transient elastography: National Health and Nutrition Examination Survey 2017–2020.docx
BackgroundHepatic steatosis is a significant pathological feature of fatty liver disease (FLD) which is widely spread with no effective treatment available. Previous studies suggest that chromium (Cr) intake reduces lipid deposition in the liver in animals. However, the connection between blood Cr and hepatic steatosis among humans remains inconclusive.MethodsUsing the data from the National Health and Nutrition Examination Survey (NHANES) 2017–2020, we performed a cross-sectional analysis, including 4,926 participants. The controlled attenuation parameter (CAP) measured by the vibration controlled transient elastography (VCTE) was used to evaluate the degree of liver steatosis. Weighted univariate regression, multivariate linear regression, smooth fitting curves and subgroup analysis were used. In addition, we carried out trend tests, multiple interpolations, and interaction analyses to conduct sensitivity analyses.ResultsAfter adjusting with various covariables, multivariate linear regression analysis demonstrated a significant negative correlation between blood Cr and CAP [β (95% CI) = −5.62 (−11.02, −0.21)]. The negative correlation between blood Cr and CAP was more significant in the males, 50–59 years, overweight, hypercholesterolemia, HDL-C ≥ 65 mg/dL, HbA1c (5.70–6.10 %), HOMA-IR (0.12–2.76), total bilirubin (0.30–0.40 mg/dL), ever alcohol consumption subjects. Of note, the relationships between blood Cr and CAP followed a U-shaped curve in the smokers and non-smokers, with blood Cr thresholds of 0.48, 0.69 μg/L, respectively.ConclusionsThere is an independently negative correlation between blood Cr and hepatic steatosis in American. Our study provides clinical researchers with a new insight into the prospective prevention of hepatic steatosis.</p
Additional file 8 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 8: Table S8. Table of transcription factors after Bacillomycin D-C16 treatment versus control at time 12 h
Additional file 3 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 3: Table S3. Table of RNA-seq data after Bacillomycin D-C16 treatment versus control at time 24 h
Additional file 9 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 9: Table S9. Table of transcription factors after Bacillomycin D-C16 treatment versus control at time 24 h
Additional file 4 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 4: Table S4. Table of GO enrichment analysis after Bacillomycin D-C16 treatment versus control at time 12 h
Additional file 5 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 5: Table S5. Table of GO enrichment analysis after Bacillomycin D-C16 treatment versus control at time 24 h
Additional file 2 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 2: Table S2. Table of RNA-seq data after Bacillomycin D-C16 treatment versus control at time 12 h
Additional file 6 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 6: Table S6. Table of KEGG enrichment analysis after Bacillomycin D-C16 treatment versus control at time 12 h
Additional file 7 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato
Additional file 7: Table S7. Table of KEGG enrichment analysis after Bacillomycin D-C16 treatment versus control at time 24 h