Cu2O@PNIPAM core–shell microgels as novel inkjet materials for the preparation of CuO hollow porous nanocubes gas sensing layers

There has been long-standing interest in developing metal oxide-based sensors with high sensitivity, selectivity, fast response and low material consumption. Here we report for the first time the utilization of Cu2O@PNIPAM core–shell microgels with a nanocube-shaped core structure for construction of novel CuO gas sensing layers. The hybrid microgels show significant improvement in colloidal stability as compared to native Cu2O nanocubes. Consequently, a homogeneous thin film of Cu2O@PNIPAM nanoparticles can be engineered in a quite low solid content (1.5 wt%) by inkjet printing of the dispersion at an optimized viscosity and surface tension. Most importantly, thermal treatment of the Cu2O@PNIPAM microgels forms porous CuO nanocubes, which show much faster response to relevant trace NO2 gases than sensors produced from bare Cu2O nanocubes. This outcome is due to the fact that the PNIPAM shell can successfully hinder the aggregation of CuO nanoparticles during pyrolysis, which enables full utilization of the sensor layers and better access of the gas to active sites. These results point out great potential of such an innovative system as gas sensors with low cost, fast response and high sensitivitH. J. gratefully acknowledges financial support of the CSC scholarship. S. P. acknowledges funding from the Community of Madrid under grant number 2016-T1/AMB-1695

A Practical Quality Control Method for Saponins Without UV Absorption by UPLC-QDA

Saponins are a class of important active ingredients. Analysis of saponin-containing herbal medicines is a major challenge for the quality control of medicinal herbs in companies. Taking the medicine Astragali radix (AR) as an example, it has been shown that the existing evaporative light scattering detection (ELSD) methods of astragaloside IV (AG IV) has the disadvantages of time-consuming sample preparation and low sensitivity. The universality of ELSD results in an inapplicable fingerprint with huge signals from primary compounds and smaller signals from saponins. The purpose of this study was to provide a practical and comprehensive method for the quality control of the astragalosides in AR. A simple sample preparation method with sonication extraction and ammonia hydrolyzation was established, which shortens the preparation time from around 2 days to less than 2 h. A UPLC-QDA method with the SIM mode was established for the quantification of AG IV in AR. Methanol extract was subjected to UPLC-QDA for fingerprinting analysis, and the common peaks were assigned simultaneously with the QDA. The results showed that with the newly established method, the preparation time for a set of samples was less than 90 min. The fingerprints can simultaneously detect both saponins and flavonoids in AR. This simple, rapid, and comprehensive UPLC-QDA method is suitable for quality assessment of RA and its products in companies, and also provides references for the quality control of other saponin ingredients without UV absorption

Polysaccharides from the root of Angelica sinensis promotes hematopoiesis and thrombopoiesis through the PI3K/AKT pathway

<p>Abstract</p> <p>Background</p> <p>Dozens of Traditional Chinese Medicine (TCM) formulas have been used for promotion of "blood production" for centuries, and we are interested in developing novel thrombopoietic medicines from these TCMs. Our previous studies have demonstrated the hematopoietic effects of DangGui BuXue Tong (DBT), a formula composed of <it>Radix Angelicae Sinensis </it>and <it>Radix Astragali </it>in animal and cellular models. As a step further to identify and characterize the active chemical components of DBT, we tested the hematopoietic and particularly, thrombopoietic effects of polysaccharide-enriched fractions from the root of <it>Radix Angelicae Sinensis </it>(APS) in this study.</p> <p>Methods</p> <p>A myelosuppression mouse model was treated with APS (10 mg/kg/day). Peripheral blood cells from APS, thrombopoietin and vehicle-treated samples were then counted at different time-points. Using the colony-forming unit (CFU) assays, we determined the effects of APS on the proliferation and differentiation of hematopoietic stem/progenitor cells and megakaryocytic lineages. Using a megakaryocytic cell line M-07e as model, we analyzed the cellular apoptosis progression with and without APS treatment by Annexin V, Mitochondrial Membrane Potential and Caspase 3 assays. Last, the anti-apoptotic effect of APS on cells treated with Ly294002, a Phosphatidylinositol 3-Kinse inhibitor (PI3K) was also tested.</p> <p>Results</p> <p>In animal models, APS significantly enhanced not only the recovery of platelets, other blood cells and their progenitor cells, but also the formation of Colony Forming Unit (CFU). In M-07e cells, we observed the anti-apoptotic effect of APS. Treatment by Ly294002 alone increased the percentage of cells undergoing apoptosis. However, addition of APS to Ly294002-treated cells significantly reduced the percentage of cells undergoing apoptosis.</p> <p>Conclusions</p> <p>APS promotes hematopoiesis and thrombopoiesis in the mouse model. This effect likely resulted from the anti-apoptosis activity of APS and is likely to involve the PI3K/AKT pathway.</p

Block copolymer template-directed novel functional particles

Gegenstand dieser Arbeit ist die Synthese neuer funktioneller Materialien unter Zuhilfenahme von Blockcopolymerpartikeln als „soft templates“ und die Untersuchung ihrer Anwendungsmöglichkeiten als Katalysator- und Energiespeichermaterialien. Drei Arten von Kompositpartikeln mit komplexen Strukturen wurden synthetisiert: Palladium@poly(styrol-b-2-vinylpyridin)@Dodecanthiol-Gold (Pd@PS-P2VP@DT-Au) Hybridpartikel, Polydopamin@Gold (PDA@Au) Nanoreaktoren und poröse Ti4O7 Partikel mit verbundener Porenstruktur. Im ersten Teil der Arbeit wurden Pd@PS-P2VP@Au Kern-Schale Partikel, bestehend aus DT-Au Aggregaten als Kern, umgeben von mit Palladium Nanopartikeln beschichtetem PS-P2VP als Schale hergestellt. Die auf die strukturierte P2VP Schale aufgebrachten Palladium Nanopartikel weisen im Vergleich mit anderen bekannten Systemen gute katalytische Eigenschaften für die Reduktion von 4-Nitrophenol mit NaBH4 auf. Im zweiten Teil wurden zum ersten Mal PDA@Au Nanoreaktoren mit verbundener Porenstruktur unter Verwendung einer „soft template“-Methode synthetisiert. Dabei wurden poröse PS-P2VP Partikel als Template verwendet. Mittels Elektronentomografie (ET) konnte die verbundene Porenstruktur mit den darin gleichmäßig verteilten Gold Nanopartikeln direkt abgebildet werden. Die PDA@Au Partikel wurden mithilfe der katalytischen Reduktion von 4-Nitrophenol kinetisch untersucht. Im dritten Teil wurden poröse Ti4O7 Partikel mit verbundener Porenstruktur als neuer Typ von Schwefel Wirtsmaterial für Lithium-Schwefel Batterien unter Zuhilfenahme von porösen PS-P2VP Templatpartikeln entwickelt. Die elektrochemische Untersuchung von Ti4O7/S und kohlenstoffbeschichtetem Ti4O7/S beim Einsatz als Kathodenmaterial ergab hervorragende Leistungsdaten von 1219 mAhg−1 bzw. 1411 mAhg−1 für die Anfangskapazität und eine Kapazitätserhaltung von 74% bzw. 77% nach 200 Zyklen.The present thesis focuses on the synthesis of novel functional materials by using block copolymer particles as soft templates. Three types of particles with complex structures have been synthesized, involving palladium@poly(styrene-b-2-vinylpyridine)@dodecanethiol-gold (DT-Au) (Pd@PS-P2VP@DT-Au) hybrid particles, polydopamine@gold (PDA@Au) nanoreactors with Au nanoparticles immobilized in PDA channels, and porous Ti4O7 particles with interconnected-pore structure. Their possible applications as catalyst and energy storage materials have been studied. In the first part of the thesis, Pd@PS-P2VP@DT-Au core-shell particles, which consist of dodecanethiol-gold (DT-Au) aggregation as core and Pd coated PS-P2VP as shell, have been fabricated based on the Rayleigh instability of polymer nanotubes inside Anodic Aluminium Oxide (AAO) porous membranes. The hybrid particles show efficient catalytic activity for the reduction of 4-nitrophenol by NaBH4. The catalytic activity has been compared with other reported systems. In the second part, PDA@Au nanoreactors with interconnected channel structures have been synthesized for the first time by using porous PS-P2VP particles as soft template. Electron tomography (ET) provides direct visualization of the interconnected pore structure of the nanoreactors, inside of which Au nanoparticles are homogeneously embedded. Such PDA@Au particles have been explored as nanoreactors for kinetic studies using the reduction of 4-nitrophenol as the model reaction. In the third part, porous Ti4O7 and carbon-coated Ti4O7 particles with interconnected-pore structure have been developed as efficient sulfur-host material for lithium-sulfur batteries by using porous PS-P2VP particles as template. The Ti4O7/S and carbon-coated Ti4O7/S composites show excellent electrochemical performance with initial capacities of 1219 mAh g−1 and 1411 mAh g−1, capacity retentions of 74% and 77% after 200 cycles, respectively

Identification of ferroptosis-related genes in male mice with sepsis-induced acute lung injury based on transcriptome sequencing

Abstract Background Sepsis can result in acute lung injury (ALI). Studies have shown that pharmacological inhibition of ferroptosis can treat ALI. However, the regulatory mechanisms of ferroptosis in sepsis-induced ALI remain unclear. Methods Transcriptome sequencing was performed on lung tissue samples from 10 sepsis-induced mouse models of ALI and 10 control mice. After quality control measures, clean data were used to screen for differentially expressed genes (DEGs) between the groups. The DEGs were then overlapped with ferroptosis-related genes (FRGs) to obtain ferroptosis-related DEGs (FR-DEGs). Subsequently, least absolute shrinkage and selection operator (Lasso) and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) were used to obtain key genes. In addition, Ingenuity Pathway Analysis (IPA) was employed to explore the disease, function, and canonical pathways related to the key genes. Gene set enrichment analysis (GSEA) was used to investigate the functions of the key genes, and regulatory miRNAs of key genes were predicted using the NetworkAnalyst and StarBase databases. Finally, the expression of key genes was validated with the GSE165226 and GSE168796 datasets sourced from the Gene Expression Omnibus (GEO) database and using quantitative real-time polymerase chain reaction (qRT-PCR). Results Thirty-three FR-DEGs were identified between 1843 DEGs and 259 FRGs. Three key genes, Ncf2, Steap3, and Gclc, were identified based on diagnostic models established by the two machine learning methods. They are mainly involved in infection, immunity, and apoptosis, including lymphatic system cell migration and lymphocyte and T cell responses. Additionally, the GSEA suggested that Ncf2 and Steap3 were similarly enriched in mRNA processing, response to peptides, and leukocyte differentiation. Furthermore, a key gene-miRNA network including 2 key genes (Steap3 and Gclc) and 122 miRNAs, and a gene-miRNA network with 1 key gene (Steap3) and 3 miRNAs were constructed using NetworkAnalyst and StarBase, respectively. Both databases predicted that mmu-miR-15a-5p was the target miRNA of Steap3. Finally, Ncf2 expression was validated using both datasets and qRT-PCR, and Steap3 was validated using GSE165226 and qRT-PCR. Conclusions This study identified two FR-DEGs (Ncf2 and Steap3) associated with sepsis-induced ALI via transcriptome analyses, as well as their functional and metabolic pathways

Evaluation of Ecological Carrying Capacity and Identification of Its Influencing Factors Based on Remote Sensing and Geographic Information System: A Case Study of the Yellow River Basin in Shaanxi

Ecological carrying capacity (ECC), which requires simple scientific evaluation methods, is an important evaluation index for assessing the sustainability of ecosystems. We integrate an innovative research method. Geographic information systems (GIS) and remote sensing (RS) were used to evaluate the ECC of the Yellow River Basin in Shaanxi (YRBS) and to identify the underlying factors that influence it. A calculation method that combines RS and GIS data to estimate ECC based on net primary productivity (NPP) was established. The Carnegie&ndash;Ames&ndash;Stanford approach model was applied to estimate NPP. The NPP of each land type was used as an indicator to determine the yield factors. The ECC of the watershed was calculated with the carrying capacities of each land-use type. The geographical detector model was used to study the influencing factors of ECC, which provides a scientific basis for the formulation of ecological management policies in YRBS. The results show that from 2000 to 2010, it first decreased by 45.46%, and then increased by 37.06% in 2020, an overall decrease of 13.49 &times; 105 wha in 20 years. Precipitation is the dominant factor that affects ECC, while the impact of human activities on ECC was significantly enhanced during the study period. The developed method based on RS data serves as a reference for ecological evaluation in other similar regions

Stability Analysis of a Weathered-Basalt Soil Slope Using the Double Strength Reduction Method

Slope stability analysis of the mountain landforms in southwestern China has always been an important problem in the field of geotechnical engineering. The large landslide occurs in Jichang Town, Shuicheng County, Guizhou Province, China, on July 23, 2019, as the engineering background. Based on the nonlinear relationship between the soil water content, cohesion, and friction angle measured in laboratory tests, the finite element reduction problem of the double-strength parameters is only transformed into a reduction problem of water content. Then, based on the redevelopment platform in the ABAQUS finite element software, a user subroutine to specify predefined field variables (UFIELD) was written to numerically simulate the stability of the Jichang slope before the landslide. The results show that the Jichang slope is mainly composed of basalt-weathered red clay mixed with gravel of various particle sizes. The underlying bedrock is primarily the Permian Emeishan basalt with strong-to-weak weathering and a small amount of argillaceous siltstone. Due to the increase in water content caused by heavy rainfall, the strength of the soil decreased continuously. Once the critical stress state of the slope was exceeded, the plastic sliding block slipped at high speed over a long distance along the rock-soil layer interface, and along the way, it scraped out and carried away the original loose topsoil and gravel blocks, which finally piled up in the form of a debris flow. In addition, the attenuations of the cohesion and friction angle are different. When the water content is less than 25%, the reduction coefficient of the friction angle is greater than the cohesion, which shows that the attenuation of the friction angle is stronger than that of the cohesion. The opposite is true when the water content is greater than 25%. The new method of double-strength finite element reduction presented in this paper is reasonable and feasible and is more in line with the actual situation of weathered-basalt soil slope instability in heavy rainfall areas

Application of Computing as a High-Practicability and -Efficiency Auxiliary Tool in Nanodrugs Discovery

Research and development (R&D) of nanodrugs is a long, complex and uncertain process. Since the 1960s, computing has been used as an auxiliary tool in the field of drug discovery. Many cases have proven the practicability and efficiency of computing in drug discovery. Over the past decade, computing, especially model prediction and molecular simulation, has been gradually applied to nanodrug R&D, providing substantive solutions to many problems. Computing has made important contributions to promoting data-driven decision-making and reducing failure rates and time costs in discovery and development of nanodrugs. However, there are still a few articles to examine, and it is necessary to summarize the development of the research direction. In the review, we summarize application of computing in various stages of nanodrug R&D, including physicochemical properties and biological activities prediction, pharmacokinetics analysis, toxicological assessment and other related applications. Moreover, current challenges and future perspectives of the computing methods are also discussed, with a view to help computing become a high-practicability and -efficiency auxiliary tool in nanodrugs discovery and development

Swelling of Block Copolymer Nanoparticles: A Process Combining Deformation and Phase Separation

Swelling of block copolymers is a complex process in which deformation and microphase separation couple together. Here we demonstrated that nanoparticles of block copolymers and polymer composites which have a large variety of phase separation patterns and different shapes can be generated through swelling process. Particularly, we focused on the swelling process of lamellae-forming diblock copolymer nanoparticles and first observed the formation of terrace edges in diblock copolymer nanoparticles as a metastable microstructure in swelling. Moreover, the trace amount of swelling solvent shows a significant influence on the shape of polymer nanoparticles, leading to block copolymer nanodisks and snowman-like composite nanoparticles

Additional file 2 of Identification of ferroptosis-related genes in male mice with sepsis-induced acute lung injury based on transcriptome sequencing

Additional file 2. Clean Reads Mapped to GRCm39