Long-term cardiometabolic effects of ambient ozone pollution in a large Chinese population.

Limited studies investigated the effects of long-term ozone exposure on cardiometabolic health. We aimed to examine the association of long-term ozone exposure with a range of cardiometabolic diseases, as well as the subclinical indicators in Eastern China. The study included 202,042 adults living in 11 prefecture-level areas in Zhejiang Province between 2014 and 2021. Using a satellite-based model with a 1 × 1 km spatial resolution, we estimated residential 5-year average ozone exposures for each subject. Mixed-effects logistic and linear regression models were applied to explore the associations of ozone exposure with cardiometabolic diseases and subclinical indicators, respectively. We found that a 9% [95% confidence interval (95% CI): 7-12%] higher in odds of cardiometabolic disease per 10 µg/m3 increase in ozone exposure. Specifically, we also found higher prevalence of cardiovascular diseases (15%), stroke (19%), hypertension (7%), dyslipidemia (15%), and hypertriglyceridemia (9%) associated with ozone exposure. However, we did not find significant associations between ozone exposure and coronary heart disease, myocardial infarction, or diabetes mellitus. Long-term ozone exposures were also significantly associated with adverse changes in systolic blood pressure, diastolic blood pressure, total serum cholesterol, triglyceride, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, glucose concentration, and body mass index. Our results showed that people with lower education levels, those over 50 years old, and those who were overweight or obese were more susceptible to the effects of ozone on cardiometabolic diseases. Our findings demonstrated the detrimental effects of long-term ozone exposure on cardiometabolic health, emphasizing the need for ozone control strategies to reduce the burden of cardiometabolic diseases.

Associations between PM2.5 exposure and Alzheimer's Disease prevalence Among elderly in eastern China.

BACKGROUND: Studies showed that PM2.5 might be associated with various neurogenic diseases such as Alzheimer's Disease (AD). However, this topic had been little studied in Zhejiang province of China.  METHODS: In 2018, we established a cohort of AD high-risk population with 1,742 elderly aged 60 and above. In 2020, the cohort was followed up, a total of 1,545 people participated the 2 surveys. Data collection included questionnaires and basic physical examinations. The average residential exposure to PM2.5 for each participant, that in a 5-years period prior to the first survey, was estimated using a satellite-based spatial statistical model. We determined the association between PM2.5 and AD prevalence by cox proportional hazards regression model.  RESULTS: This study showed that an increase in the PM2.5 level was an important associated risk factor that contributed to AD. The average PM2.5 exposure levels among the study population ranged from 32.69 µg/m3 to 39.67 µg/m3 from 2013 to 2017, which were much higher than 5 µg/m3 that specified in the WHO air quality guidelines. There was an association between PM2.5 exposure and AD, and the correlations between PM2.5 and Mini-Mental State Examination, Montreal cognitive assessment scale scores were statistically significant. An increase in the PM2.5 level by 10 µg/m3 elevated the risk of AD among residents by 2%-5% (HR model 2-model 4 = 1.02 to 1.05, CI model 2-model 4 = 1.01-1.10). The subgroups of male, with old age, with low education levels, used to work as farmers or blue-collar workers before retirement, overweight and obese were associated with a higher effect of PM2.5. CONCLUSIONS: Reducing PM2.5 exposure might be a good way to prevent AD.

Efficacy and safety of regorafenib or fruquintinib plus camrelizumab in patients with microsatellite stable and/or proficient mismatch repair metastatic colorectal cancer: an observational pilot study.

This study was to investigate the efficacy and safety of regorafenib or fruquintinib combined with camrelizumab in patients with microsatellite stable (MSS) and/or proficient mismatch repair (pMMR) metastatic colorectal cancer (mCRC). Medical records of MSS/pMMR mCRC patients who received regorafenib (80 mg) or fruquintinib (3 mg) once a day (21 days on/7 days off) plus camrelizumab (200 mg) every three weeks in Yuhuangding Hospital between January 2020 and June 2020 were retrospectively collected. Follow-up data up to November 1st, 2020 was gathered. The primary endpoint was the objective response rate (ORR) and disease control rate (DCR). The safety profile was the secondary endpoint. A total of 16 patients were enrolled. The ORR was 25.0% (4/16) and the DCR was 62.5% (10/16). The main adverse events (AEs) included reactive cutaneous capillary endothelial proliferation (RCCEP) (81.3%), fatigue (43.8%), hypertension (37.5%), hand-foot skin reaction (25.0%), and thyroid dysfunction (25.0%). Most AEs were grade 1 or 2, with only 1 patient of grade 3 liver dysfunction. All the AEs were ameliorated by effective symptomatic treatment. Regorafenib or fruquintinib plus camrelizumab exhibited promising efficacy in patients with MSS/pMMR mCRC. The toxicity was moderate and manageable.

Knockdown of LINC01614 inhibits lung adenocarcinoma cell progression by up-regulating miR-217 and down-regulating FOXP1.

We tried to identify the function of LINC01614 in lung adenocarcinoma (LUAD) and reveal its underlying mechanisms. qRT-PCR was applied to assess the expression of LINC016014 in LUAD tissues, noncancerous tissues and cells. Through colony formation assay, MTT assay and apoptosis analysis, we examined the variation of cell proliferation and apoptosis ability after silencing LINC01614. Moreover, the targeting interactions among LINC01614, miR-217 and FOXP1 were validated via luciferase reporter assay, and then, we regulated the expression of miR-217 and FOXP1 to ascertain their importance in cell proliferation and apoptosis. LINC01614 and FOXP1 were found to be up-regulated in LUAD tumours and cells, whereas miR-217 was down-regulated. The experiment showed that target-specific selectivity exists between LINC01614-miR-217 and miR-217-FOXP1 3'UTR. Furthermore, we disclosed that inhibition of LINC01614 could activate miR-217, which subsequently restrained FOXP1. It was proved that LINC01614 promoted FOXP1 by inhibiting miR-217, which ultimately stimulated the development of LUAD.

Analysis of the differences of serum protein mass spectrometry in patients with triple negative breast cancer and non-triple negative breast cancer.

The objective of the present study was to investigate differences of serum protein mass spectrometry in patients with triple negative breast cancer (TNBC) and non-TNBC and thus to search for candidate serum protein biomarkers for identification and diagnosis of TNBC. Thirty serum samples from patients with TNBC without any treatment and 30 serum samples from patients with non-TNBC without any treatment were detected by using two-dimensional gel electrophoresis and matrix-assisted laser dissociation tandem time-of-flight mass spectrometry (MALDI-TOF-MS). PDQest 7.0 software of Bio-Rad was adopted to screen differentially expressed proteins. Protein ID retrieval was conducted by using Mascot software to confirm the results of differential proteins. Two-dimensional gel electrophoresis profiles were obtained successfully. A total of 16 differential protein loci were discovered by analyzing patient sera of the two groups using two-dimensional gel electrophoresis analysis software. Ten differential proteins were identified by mass spectrometric analysis in the 16 differential proteins. Combined with database and literature search results, it is speculated that the specifically upregulated proteins and downregulated proteins including transthyretin, haptoglobin, and antitrypsin may be the potential markers for early diagnosis of TNBC. Comparing the TNBC patients with the non-TNBC patients, there are differences in serum protein compositions. The ten differential proteins discovered in the present study provide reference basis for further improving early diagnosis and identification and diagnosis index of TNBC. Especially, transthyretin, haptoglobin, and antitrypsin show dramatic significances for the early diagnosis of TNBC.

Incidence of thromboembolic events in non-small cell lung cancer patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis.

ABSTRACT: The incidence of thromboembolic events (TEs) in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs) has rarely been reported. The MEDLINE, EMBASE, and the Cochrane Library databases were searched. The primary outcome was the incidence of TEs, and the secondary outcome was the relationship between TEs and overall survival (OS) following ICI therapy. A subgroup analysis of TE incidents was performed according to the TE type and combination regimens. The I2 statistic was used to determine the heterogeneity, and funnel plots and Egger's test were used to assess publication bias. A total of 16,602 patients with NSCLC in 63 experimental arms were included in the analysis. The rate of TEs ranged from 0.1% to 13.8%, and the pooled overall incidence of all-grade TEs was 3% (95% confidence interval [CI], 2%-4%). The pooled rate of high-grade TEs was 1% (95% CI, 1%-2%). The venous and arterial TE rates were 3% (95% CI, 2%-4%) and 1% (95% CI, 1%-2%), respectively. Patients who received immunotherapy + chemoradiotherapy had the highest incidence of TEs (7%). The TE pooled rate was higher in patients treated with combined ICIs than in those treated with mono ICIs (4% vs. 2%). The OS was lower in patients with TEs than in those without TEs (hazard ratio, 1.4; 95% CI, 1.02%-1.92%). The incidence of TEs in NSCLC patients treated with ICIs was reasonable. Nonetheless, clinicians must be aware of potential thrombotic complications and treat them promptly.

Synergetic Sn Incorporation-Zn Substitution in Copper-Based Sulfides Enabling Superior Na-Ion Storage.

Transition-metal sulfides have been regarded as perspective anode candidates for high-energy Na-ion batteries. Their application, however, is precluded severely by either low charge storage or huge volumetric change along with sluggish reaction kinetics. Herein, an effective synergetic Sn incorporation-Zn substitution strategy is proposed based on copper-based sulfides. First, Na-ion storage capability of copper sulfide is significantly improved via incorporating an alloy-based Sn element. However, this process is accompanied by sacrifice of structural stability due to the high Na-ion uptake. Subsequently, to maintain the high Na-ion storage capacity, and concurrently improve cycling and rate capabilities, a Zn substitution strategy (taking partial Sn sites) is carried out, which could significantly promote Na-ion diffusion/reaction kinetics and relieve mechanical strain-stress within the crystal framework. The synergetic Sn incorporation and Zn substitution endow copper-based sulfides with high specific capacity (≈560 mAh g-1 at 0.5 A g-1 ), ultrastable cyclability (80 k cycles with ≈100% capacity retention), superior rate capability up to 200 A g-1 , and ultrafast charging feature (≈4 s per charging with ≈190 mAh g-1 input). This work provides in-depth insights for developing superior anode materials via synergetic multi-cation incorporation/substitution, aiming at solving their intrinsic issues of either low specific capacity or poor cyclability.

Long-term exposure to particulate matter pollution and incidence of ischemic and hemorrhagic stroke: A prospective cohort study in Eastern China.

Although epidemiological studies have demonstrated significant associations of long-term exposure to particulate matter (PM) air pollution with stroke, evidence on the long-term effects of PM exposure on cause-specific stroke incidence is scarce and inconsistent. We incorporated 33,282 and 33,868 individuals aged 35-75 years without a history of ischemic or hemorrhagic stroke at the baseline in 2014, who were followed up till 2021. Residential exposures to particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5) and particulate matter with an aerodynamic diameter less than 10 µm (PM10) for each participant were predicted using a satellite-based model with a spatial resolution of 1 × 1 km. We employed time-varying Cox proportional hazards models to assess the long-term effect of PM pollution on incident stroke. We identified 926 cases of ischemic stroke and 211 of hemorrhagic stroke. Long-term PM exposure was significantly associated with increased incidence of both ischemic and hemorrhagic stroke, with almost 2 times higher risk on hemorrhagic stroke. Specifically, a 10 µg/m³ increase in 3-year average concentrations of PM2.5 was linked to a hazard ratio (HR) of 1.35 (95% confidence interval (CI): 1.18-1.54) for incident ischemic stroke and 1.79 (95% CI: 1.36-2.34) for incident hemorrhagic stroke. The HR related to PM10, though smaller, remained statistically significant, with a HR of 1.25 for ischemic stroke and a HR of 1.51 for hemorrhagic stroke. The excess risks are larger among rural residents and individuals with lower educational attainment. The present cohort study contributed to the mounting evidence on the increased risk of incident stroke associated with long-term PM exposures. Our results further provide valuable evidence on the heightened sensitivity of hemorrhagic stroke to air pollution exposures compared with ischemic stroke.

Serum Protein-Based Profiles for the Diagnostic Model of Alzheimer's Disease.

BACKGROUND: Determining a non-invasive, serum-based diagnostic panel for early diagnosis of AD will play a significant role in the prevention and treatment of the disease. METHODS: We performed standardized clinical assessments and neuroimaging measurements in 45 patients with AD and an equal number of sex - and age-matched controls. 48 target peptides of 14 identified target proteins were quantitatively analyzed by PRM. RESULTS: 8 protein markers were screened, including SAA4, PPBP, PF4, APOA4, F10, CPB2, C1S and IGHM. An diagnosis panel including 8 proteins and demographic characteristics markers respectively was found to be the robust with a AUC of 92.3%. CONCLUSIONS: Our study developed a new panel including protein and demographic characteristics that could be used to distinguish AD from control candidates.

A blood-based, metabolite and demographic characteristic markers panel for the diagnosis of Alzheimer's disease.

Aims: This work was designed to provide early diagnosis strategies for Alzheimer's disease (AD) based on the identification of blood metabolic biomarkers. Patients & methods: A total of 90 subjects aged 60 years or older were included in this study; 45 patients were assigned to the case group and control group, respectively. A total of 31 target metabolites were quantitatively analyzed by parallel reaction monitoring between the two groups. Results & conclusion: Three metabolites were screened out, including cystine, serine and alanine/sarcosine. Logistic regression and random forest analysis were used to establish AD diagnosis models, and the model combining metabolic biomarkers and demographic variables had higher detection efficiency (area under the curve = 0.869). A combination diagnostic model to provide a scientific reference for early screening and diagnosis of AD was constructed.

Preventive effect of aspirin on peripherally inserted central catheter-related vein thrombosis in patients with malignant tumors.

The majority of patients receiving chemotherapy undergo PICC catheterization. However, PICCs are significantly associated with catheter related complications, including deep vein thrombosis, blood infection, fibrin sheath, catheter prolapse, catheter displacement and blockage. Of all the risks, PICC-related VT was the most prevailing clinic symptom and resulted in a high risk of death. AIM: The study aimed to investigate the preventive efficacy and safety of aspirin for patients with malignant tumors receiving venous thrombosis (VT) related with peripherally inserted central catheters (PICC) treatment. PATIENTS AND METHODS: A randomized controlled trial was conducted. Participants with malignant tumors receiving chemotherapy who accepted PICC insertion operation were randomly allocated to the aspirin treatment group (n = 235) or the control group (n = 246). The patients in the aspirin group were administrated aspirin (100mg) for 30 days, whereas the patients in control group were administrated a placebo drug. The incidence of PICC-related VT in both groups and the aspirin related adverse effects were evaluated. RESULTS: The incidence of PICC-related VT was 0.4% in the aspirin group, compared with 3.3% in the control group (P = 0.038). In addition, aspirin related bleeding was not observed. CONCLUSION: PICC-related VT could be effectively prevented by aspirin in patients with malignant tumors.

Cohort study of the effects of occupation and environmental tobacco smoke on the incidence of Alzheimer's disease among seniors.

INTRODUCTION: Alzheimer's disease (AD) is a disease caused by many factors including occupational and environmental factors. Secondhand smoke (SHS) can affect cognitive function. However, there is limited recent epidemiological research on how SHS and occupational factors affect AD in Zhejiang province. METHODS: We established a cohort of an AD high-risk population. In 2018, a cohort of 1742 elderly aged ≥60 years was established. In 2020, the cohort was followed up, and a total of 1545 people participated in the two surveys. Data collection included demographic and economic information such as age, gender, occupation, education level etc., and relative health behavior information such as smoking, drinking and tea drinking, etc. Basic physical examination data included height, weight, blood pressure, etc. At the same time, related cognitive status was assessed. Cox proportional hazards regression models, both unadjusted and adjusted models, were used to determine associations between cohort characteristics and AD. RESULTS: The results showed that SHS exposure and occupational characteristics were associated with an increased risk of cognitive impairments in seniors. Subgroups who used to work as blue-collar workers, who never worked, who kept standing for most of the time at work, and who were engaged in hard physical labor prior to retirement, had high incidence rates of AD. CONCLUSIONS: It was revealed that SHS, standing for most of the time and hard physical labor were associated risk factors of AD among seniors, compared with white-collar work. We recommend that the government establish a community supervisory mechanism to persuade smokers to quit or control smoking.

A bibliometric study on the utilization of lenvatinib in hepatocellular carcinoma (2014-2022).

Background: The REFLECT phase-III trial has demonstrated the efficacy of lenvatinib in improving the overall survival of advanced hepatocellular carcinoma (HCC) patients, comparable to sorafenib. The rapidly evolving landscape of hepatocellular carcinoma therapy presents new avenues for lenvatinib. This study aims to provide a scientometric analysis of publications and predict research hotspots in this field. Methods: Relevant publications were sourced from the Web of Science Core Collection (WoSCC) database up until November 2022. The bibliometrix tool in R was employed for scientometric analysis and visualization. Results: A total of 879 publications from 2014 to 2022 were obtained from WoSCC that met the established criteria. These studies involved 4,675 researchers from 40 countries, with an average annual growth rate of 102.5%. The highest number of publications was from Japan, followed by China, Italy, and the United States. The largest proportion of studies, 14.0% (n = 123), was contributed by FUDAN UNIV. The studies were published in 274 journals, with CANCERS (n = 53) being the top journal, followed by FRONTIERS IN ONCOLOGY (n = 51) and HEPATOLOGY RESEARCH (n = 36). The top ten journals accounted for 31.5% of the 879 studies. The most prolific authors were Kudo M (n = 51), Hiraoka A (n = 43), and Tsuji K (n = 38). A total of 1,333 keywords were analyzed, with the present research hotspots being "immune checkpoint inhibitors," "prognosis," and "pd-1." Co-occurrence clustering analysis revealed the top keywords, authors, publications, and journals. Strong collaboration was identified in the field. Conclusion: This scientometric and visual analysis provides a comprehensive summary of the published articles on lenvatinib in HCC during 2014-2022, highlighting the research hotspots, knowledge domain, and frontiers. The results can provide insights into future research directions in this field.

Diagnostic Model of Alzheimer's Disease in the Elderly Based on Protein and Metabolic Biomarkers.

BACKGROUND: With the accelerating aging process, the number of participants with Alzheimer's disease (AD) is rising sharply, causing a huge economic burden. OBJECTIVE: This study aimed to identify blood protein and metabolic biomarkers and explore the diagnostic model for AD among elderly in southeast China. METHODS: We established a cohort among population with high risk AD in Zhejiang Province in 2018. Case and control groups each consisting of 45 subjects, matched for gender and age, were randomly selected from the cohort. Based on bioinformatics research, PRM/MRM technology was used to detect candidate biomarkers. Ensemble-based feature selection and machine learning methods was used to screen important variables as risk indicators for AD. Based on the risk biomarkers, the risk diagnostic model of AD in the elderly was constructed and evaluated. RESULTS: Cystine and CPB2 were evaluated as biomarkers. The diagnostic model is constructed using logistic regression algorithm with the best cutoff value, sensitivity, specificity, and accuracy of 0.554, 0.895, 0.976, and 0.938, respectively, which determined by Youden's index. The results showed that the model with protein and metabolite had a high efficiency. CONCLUSION: It showed that the diagnostic model constructed by Cystine and CPB2 had a good performance on sample classification. This study was of great significance for the early screening and diagnosis of AD, timely intervention, control and delay the development of dementia in southeast China.

Effects of comprehensive intervention on life quality among the elderly with Alzheimer Disease and their caregivers based on mixed models.

AIMS: We conducted a multi-sectoral comprehensive intervention for elderly Alzheimer Disease patients and their caregivers to improve their quality of life. DESIGN: Randomized controlled trial. METHODS: From June to June in 2019, 150 Alzheimer Disease patients were randomly selected from a nursing home in Zhejiang province of China, they were randomly divided into the intervention group and the control group. And they were given comprehensive and routine interventions respectively for six months. We used mixed models in our analyses to see how outcomes changed over time and how they were affected by the intervention, which could also solve the problems of missing values and data correlation. RESULTS: After six months, compared with the control group, the communication ability, housework handling ability, self-care ability and life quality of the patients in the intervention group were improved, and the quality of life and caring ability of their caregivers were also significantly improved. CONCLUSION: The multi-sectoral collaborative care model proposed in this study integrated resources from several departments, effectively improved the quality of life of patients and their caregivers, and provided a way of care services for patients with Alzheimer Disease. IMPACT: Multi-sectoral comprehensive intervention would improve the life quality of elderly patients with Alzheimer Disease and their caregivers.

A Novel Salen-based Porous Framework Polymer as Durable Anode for Lithium-Ion Storage.

Organic electrode materials with abundant resources, environmental friendliness and recyclability play a crucial role in rechargeable lithium-ion batteries (LIBs). However, the inferior electrical conductivity and unsatisfactory long-term cycling performance seriously impede their large-scale application in LIBs. Herein, a novel salen-based porous framework polymer (SPP) with a large conjugated skeleton was constructed and utilized as anode for LIBs. Owing to its unique architecture with a large conjugated skeleton facilitating the electron transport, rich pores accelerating the organic electrolyte infiltration, and stable skeleton structure improving the long-term cycling performance, SPP delivered a high specific capacity of 337 mA h g-1 at 0.1 C (1 C=250 mA g-1 ) after 100 cycles, and robust rate capacity of 95.5 mA h g-1 at 32 C. Importantly, an impressive long-term cycling performance with a storage capacity of 155.7 mA h g-1 at 8 C after 4000 cycles was obtained, showing a durable cyclic stability of SPP. Furthermore, the lithium storage mechanism of SPP was evaluated by ex-situ X-ray photoelectron spectroscopy, manifesting that the multiple active sites of C=N, -OH, and benzene ring were responsible for the superior lithium storage performance. The novel SPP presented in this work should be a promising organic electrode for energy storage applications.

Quasi-solid electrolyte developed on hierarchical rambutan-like γ-AlOOH microspheres with high ionic conductivity for lithium ion batteries.

Upgrading liquid electrolytes with all-solid-state electrolytes (ASEs) or quasi-solid-state electrolytes (QSEs) for solid-state batteries (SBs) have emerged not only to address the intrinsic disadvantages of traditional liquid lithium ion batteries, but also to offer more possibilities for the development of new battery chemistries. In this work, a novel rambutan-like yolk-shell-structured porous γ-AlOOH microsphere with a large specific surface area of 262.92 m2 g-1 was firstly obtained by a simple hydrothermal synthesis route, which was then utilized as a robust framework to assemble QSE via encapsulating abundant liquid electrolyte (LE). The obtained γ-AlOOH-QSE exhibits a high ionic conductivity of 4.0 × 10-3 S cm-1, a large lithium ion transference number (tLi+) of 0.76, as well as a wide electrochemical window of 4.72 V vs. Li/Li+. Moreover, the assembled cell of LiFePO4/γ-AlOOH-QSE/Li could maintain a high specific capacity of 144.4 mA h g-1 even after 120 cycles with almost negligible capacity decay, which could be mainly attributed to the excellent interfacial compatibility, prominent performance in suppressing lithium dendrite growth upon cycling (rigid characteristic), as well as the high ionic conductivity of γ-AlOOH-QSE (intrinsic advantage). This work could not only expand the applications of QSE with cost-effective aluminum-based oxides with facile fabrication strategy, but also will shed light on the construction of SEs with more integrated QSEs and ASEs in the field of advanced energy storage.

Local Electric-Field-Driven Fast Li Diffusion Kinetics at the Piezoelectric LiTaO3 Modified Li-Rich Cathode-Electrolyte Interphase.

As one of the most promising cathodes for next-generation lithium ion batteries (LIBs), Li-rich materials have been extensively investigated for their high energy densities. However, the practical application of Li-rich cathodes is extremely retarded by the sluggish electrode-electrolyte interface kinetics and structure instability. In this context, piezoelectric LiTaO3 is employed to functionalize the surface of Li1.2Ni0.17Mn0.56Co0.07O2 (LNMCO), aiming to boost the interfacial Li+ transport process in LIBs. The results demonstrate that the 2 wt% LiTaO3-LNMCO electrode exhibits a stable capacity of 209.2 mAh g-1 at 0.1 C after 200 cycles and 172.4 mAh g-1 at 3 C. Further investigation reveals that such superior electrochemical performances of the LiTaO3 modified electrode results from the additional driving force from the piezoelectric LiTaO3 layer in promoting Li+ diffusion at the interface, as well as the stabilized bulk structure of LNMCO. The supplemented LiTaO3 layer on the LNMCO surface herein, sheds new light on the development of better Li-rich cathodes toward high energy density applications.

Stabilizing a high-voltage LiNi0.5Mn1.5O4 cathode towards all solid state batteries: a Li-Al-Ti-P-O solid electrolyte nano-shell with a host material.

LiNi0.5Mn1.5O4 (LNMO) spinel has drawn increasing attention due to its high voltage, stabilized electrochemical performance and safety features as a cathode for lithium-ion batteries. However, the main challenge lies in its unstable surface structure, especially at elevated temperatures. In this paper, we decorate the LNMO precursor with a solid electrolyte of Li1.4Al0.4Ti1.6(PO4)3 (LATP) via a facile sol-gel method, followed by a co-crystallization process at 820 °C, to successfully generate a LATP modification shell at the surface of LNMO. The LATP modification shell could not only optimize the morphology of LNMO including the limitation of particle growth and control of crystalline orientation, but also realize ion doping during the co-crystallization process. By tuning the LATP contents, the 2 wt% LATP modification is found to be the most effective at balancing the interfacial stability and Li+ diffusion kinetics of LNMO, as well as enhancing its rate capability and capacity retention at high temperatures. As a result, the 2 wt% LATP-modified LNMO cathode exhibits a high reversible capacity of 84.8 mA h g-1 after 500 cycles with a capacity retention of 68.9%, and a superior rate capability (102.0 mA h g-1 at 20 C) at room temperature. Moreover, this electrode also delivers a good capacity retention of 85.7% after 100 cycles at 55 °C, which is ascribed to the stabilized interface with a LATP protective layer.

Controllable and facile synthesis of CsPbBr3-Cs4PbBr6 perovskite composites in pure polar solvent.

Here, we present a single atomic supersaturated recrystallization method to synthesize the green-emitting CsPbBr3-Cs4PbBr6 perovskite composites in solid state with the highest PLQY of 40.8% in pure polar solvent. The component, morphology, and optical properties of the microcrystals can be tuned by varying growth time, the content of ammonium bromide, and bromine source. The developed method provides a new route to large-scale synthesize high quality perovskite composites emitters for light-emitting diodes.