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Severe venlafaxine poisoning successfully rescued with venoarterial extracorporeal membrane oxygenation:A case report
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作者 Kurumi Mori Yoshito Kamijo +2 位作者 Tomoki Doi Hiroko Abe Ichiro Takeuchi 《World Journal of Clinical Cases》 2025年第33期105-110,共6页
BACKGROUND Venlafaxine,a serotonin-norepinephrine reuptake inhibitor,is widely prescribed for the treatment of major depressive disorder.At therapeutic dose,it is generally safe,with a low incidence of adverse effects... BACKGROUND Venlafaxine,a serotonin-norepinephrine reuptake inhibitor,is widely prescribed for the treatment of major depressive disorder.At therapeutic dose,it is generally safe,with a low incidence of adverse effects.However,massive venlafaxine inge-stion can cause serious cardiotoxicity,leading to life-threatening arrhythmias.CASE SUMMARY A 31-year-old woman with a history of depression ingested 14.8 g of venlafaxine along with 6 mg of estazolam and 6 mg of flunitrazepam.On admission,2 hours post-ingestion,she presented only with mild QTc prolongation.At 4 hours post-ingestion,she developed a generalized tonic-clonic seizure.Following endo-tracheal intubation,intravenous midazolam infusion was initiated and 50 g of activated charcoal was administered via a nasogastric tube.At 15 hours post-ingestion,she developed ventricular tachycardia that rapidly progressed to refr-actory ventricular fibrillation,which was successfully treated with veno-arterial extracorporeal membrane oxygenation.Toxicological analysis revealed serum ve-nlafaxine and O-desmethylvenlafaxine concentrations 17µg/mL and 10µg/mL,respectively,at 15 hours post-ingestion.CONCLUSION In cases of massive venlafaxine ingestion,continuous intensive monitoring,particularly of QTc,is essential for at least 24 hours,even when initial clinical signs are mild.If refractory ventricular arrhythmias occur,prompt ini-tiation of veno-arterial extracorporeal membrane oxygenation should be considered. 展开更多
关键词 VENLAFAXINE Massive ingestion QTc prolongation Veno-arterial extracorporeal membrane oxygenation Ventricular fibrillation Case report
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Maternal Diabetes Mellitus and Congenital Heart Diseases:Systematic Review
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作者 Roberto Noya Galluzzo Karine Souza Da Correggio +4 位作者 Aldo von Wangenheim Heron Werner Nathalie Jeanne Bravo-Valenzuela Edward Araujo Júnior Alexandre Sherlley Casimiro Onofre 《Congenital Heart Disease》 2025年第1期89-101,共13页
Introduction:Diabetes mellitus(DM),a metabolic disorder,leads to organ damage due to chronic hyperglycemia with multiple pathogenic processes.Gestational diabetes mellitus(GDM)poses risks to mothers and offspring,incr... Introduction:Diabetes mellitus(DM),a metabolic disorder,leads to organ damage due to chronic hyperglycemia with multiple pathogenic processes.Gestational diabetes mellitus(GDM)poses risks to mothers and offspring,increasing the incidence of structural congenital heart disease(CHD)and myocardial hypertrophy in newborns.Objective:This review aimed to examine the association between maternal diabetes mellitus and CHD.Methods:This systematic review used the STROBE and TRIPOD checklists registered in PROSPERO(CRD42024513858).It focused on diagnostic test accuracy using the Munn et al.protocol for systematic assessment,emphasizing the“PIRD”:Population,Index Test,Reference Test,Diagnosis of Interest.This review aimed the following PIRD model question:‘Does diabetic pregnant woman inffuence in fetal cardiac malformation?’using PRISMA 2020 statement.A systematic review was conducted on 19 October 2023 in the following databases:PubMed/MEDLINE,Embase(Elsevier),CINAHL(EBSCO),Scopus(Elsevier),Web of Science(Clarivate Analytics),LILACS,and SciELO.Only articles in English,Spanish,and Portuguese languages were selected.Results:Seven studies between 2018 and 2023 were selected.The studies differed in terms of the cardiac ultrasound parameters used to assess CHD and diagnose diabetes mellitus in pregnancy.They highlight the importance of fetal echocardiography in detecting CHD prenatally and assessing the impact of diabetes mellitus on fetal cardiac health,recommending proactive care planning and early intervention for better outcomes.Conclusions:The studies highlight the impact of maternal diabetes mellitus,particularly GDM,on fetal cardiac development and support early detection by fetal echocardiography.Standardization and collaboration are essential to reffne management and outcomes in high-risk pregnancies. 展开更多
关键词 Maternal diabetes gestational diabetes mellitus congenital heart disease fetal echocardiography systematic review
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Volatilome and machine learning in ischemic heart disease:Current challenges and future perspectives 被引量:1
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作者 Basheer Abdullah Marzoog Philipp Kopylov 《World Journal of Cardiology》 2025年第4期138-144,共7页
Integrating exhaled breath analysis into the diagnosis of cardiovascular diseases holds significant promise as a valuable tool for future clinical use,particularly for ischemic heart disease(IHD).However,current resea... Integrating exhaled breath analysis into the diagnosis of cardiovascular diseases holds significant promise as a valuable tool for future clinical use,particularly for ischemic heart disease(IHD).However,current research on the volatilome(exhaled breath composition)in heart disease remains underexplored and lacks sufficient evidence to confirm its clinical validity.Key challenges hindering the application of breath analysis in diagnosing IHD include the scarcity of studies(only three published papers to date),substantial methodological bias in two of these studies,and the absence of standardized protocols for clinical imple-mentation.Additionally,inconsistencies in methodologies—such as sample collection,analytical techniques,machine learning(ML)approaches,and result interpretation—vary widely across studies,further complicating their reprodu-cibility and comparability.To address these gaps,there is an urgent need to establish unified guidelines that define best practices for breath sample collection,data analysis,ML integration,and biomarker annotation.Until these challenges are systematically resolved,the widespread adoption of exhaled breath analysis as a reliable diagnostic tool for IHD remains a distant goal rather than an immi-nent reality. 展开更多
关键词 Volatilome Breathome Ischemic heart disease Mass spectrometer Machine learning
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Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters 被引量:1
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作者 Basheer Abdullah Marzoog Peter Chomakhidze +11 位作者 Daria Gognieva Artemiy Silantyev Alexander Suvorov Magomed Abdullaev Natalia Mozzhukhina Darya Alexandrovna Filippova Sergey Vladimirovich Kostin Maria Kolpashnikova Natalya Ershova Nikolay Ushakov Dinara Mesitskaya Philipp Kopylov 《World Journal of Cardiology》 2025年第4期76-92,共17页
BACKGROUND Ischemic heart disease(IHD)impacts the quality of life and has the highest mortality rate of cardiovascular diseases globally.AIM To compare variations in the parameters of the single-lead electrocardiogram... BACKGROUND Ischemic heart disease(IHD)impacts the quality of life and has the highest mortality rate of cardiovascular diseases globally.AIM To compare variations in the parameters of the single-lead electrocardiogram(ECG)during resting conditions and physical exertion in individuals diagnosed with IHD and those without the condition using vasodilator-induced stress computed tomography(CT)myocardial perfusion imaging as the diagnostic reference standard.METHODS This single center observational study included 80 participants.The participants were aged≥40 years and given an informed written consent to participate in the study.Both groups,G1(n=31)with and G2(n=49)without post stress induced myocardial perfusion defect,passed cardiologist consultation,anthropometric measurements,blood pressure and pulse rate measurement,echocardiography,cardio-ankle vascular index,bicycle ergometry,recording 3-min single-lead ECG(Cardio-Qvark)before and just after bicycle ergometry followed by performing CT myocardial perfusion.The LASSO regression with nested cross-validation was used to find the association between Cardio-Qvark parameters and the existence of the perfusion defect.Statistical processing was performed with the R programming language v4.2,Python v.3.10[^R],and Statistica 12 program.RESULTS Bicycle ergometry yielded an area under the receiver operating characteristic curve of 50.7%[95%confidence interval(CI):0.388-0.625],specificity of 53.1%(95%CI:0.392-0.673),and sensitivity of 48.4%(95%CI:0.306-0.657).In contrast,the Cardio-Qvark test performed notably better with an area under the receiver operating characteristic curve of 67%(95%CI:0.530-0.801),specificity of 75.5%(95%CI:0.628-0.88),and sensitivity of 51.6%(95%CI:0.333-0.695).CONCLUSION The single-lead ECG has a relatively higher diagnostic accuracy compared with bicycle ergometry by using machine learning models,but the difference was not statistically significant.However,further investigations are required to uncover the hidden capabilities of single-lead ECG in IHD diagnosis. 展开更多
关键词 Ischemic heart disease Single-lead electrocardiography Computed tomography myocardial perfusion Prevention Risk factors Stress test Machine learning model
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Serological profiling of Crohn’s disease and ulcerative colitis patients reveals anti-microbial antibody signatures 被引量:3
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作者 Mahasish Shome Lusheng Song +8 位作者 Stacy Williams Yunro Chung Vel Murugan Jin G Park William Faubion Shabana F Pasha Jonathan A Leighton Joshua LaBaer Ji Qiu 《World Journal of Gastroenterology》 SCIE CAS 2022年第30期4089-4101,共13页
BACKGROUND The healthcare burden of inflammatory bowel disease(IBD)is rising globally and there are limited non-invasive biomarkers for accurate and early diagnosis.AIM To understand the important role that intestinal... BACKGROUND The healthcare burden of inflammatory bowel disease(IBD)is rising globally and there are limited non-invasive biomarkers for accurate and early diagnosis.AIM To understand the important role that intestinal microbiota play in IBD pathogenesis and identify anti-microbial antibody signatures that benefit clinical management of IBD patients.METHODS We performed serological profiling of 100 Crohn’s disease(CD)patients,100 ulcerative colitis(UC)patients and 100 healthy controls against 1173 bacterial and 397 viral proteins from 50 bacteria and 33 viruses on protein microarrays.The study subjects were randomly divided into discovery(n=150)and validation(n=150)sets.Statistical analysis was performed using R packages.RESULTS Anti-bacterial antibody responses showed greater differential prevalence among the three subject groups than anti-viral antibody responses.We identified novel antibodies against the antigens of Bacteroidetes vulgatus(BVU_0562)and Streptococcus pneumoniae(SP_1992)showing higher prevalence in CD patients relative to healthy controls.We also identified antibodies against the antigen of Streptococcus pyogenes(SPy_2009)showing higher prevalence in healthy controls relative to UC patients.Using these novel antibodies,we built biomarker panels with area under the curve(AUC)of 0.81,0.87,and 0.82 distinguishing CD vs control,UC vs control,and CD vs UC,respectively.Subgroup analysis revealed that penetrating CD behavior,colonic CD location,CD patients with a history of surgery,and extensive UC exhibited highest antibody prevalence among all patients.We demonstrated that autoantibodies and anti-microbial antibodies in CD patients had minimal correlation.CONCLUSION We have identified antibody signatures for CD and UC using a comprehensive analysis of antimicrobial antibody response in IBD.These antibodies and the source microorganisms of their target antigens improve our understanding of the role of specific microorganisms in IBD pathogenesis and,after future validation,should aid early and accurate diagnosis of IBD. 展开更多
关键词 Inflammatory bowel disease Anti-microbial antibody Protein microarray Crohn’s disease Ulcerative colitis Gut microbiome
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Trade-offs between ion-conducting and mechanical properties: The case of polyacrylate electrolytes 被引量:3
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作者 Guoli Lu Yaojian Zhang +7 位作者 Jianjun Zhang Xiaofan Du Zhaolin Lv Junzhe Du Zhiming Zhao Yue Tang Jingwen Zhao Guanglei Cui 《Carbon Energy》 SCIE CSCD 2023年第2期24-60,共37页
Polymer electrolytes(PEs)have been long recognized as the key materials to enable energy-dense batteries and render flexible energy devices practically viable,owing to their chemical and mechanical reliability.However... Polymer electrolytes(PEs)have been long recognized as the key materials to enable energy-dense batteries and render flexible energy devices practically viable,owing to their chemical and mechanical reliability.However,much of their promise is yet to be realized.The roomtemperature ion conductivity of existing PEs still falls short of the implementation criterion of 10^(-4) S cm^(-1) on the promise of acceptable mechanical properties,thereby precluding their practical application.The twin but inversely related duties of polymers,that is,functioning as both an ion-conducting medium and a structural backbone,underlie this issue but are less elucidated systematically.The polyacrylate(PA)family is among promising polymer matrices on account of ester polarity,electrode compatibility,chemical tunability,and mechanical durability.The extensive applicability of PA in plasticized gels,dry solids,and emerging composites makes PA-based PEs representative to illustrate the trade-off between ion conduction and mechanical strength.We herein seek to outline the stated long-standing conflict exemplified by PA-based PEs,focusing on crucial strategies toward balancing and reconciling the two mutually exclusive properties,with the intention of offering designing guidelines for next-generation PEs. 展开更多
关键词 ionic conductivity lithium batteries mechanical properties POLYACRYLATE polymer electrolytes trade-offs
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Fetal MRI Artifacts: Semi-Supervised Generative Adversarial Neural Network for Motion Artifacts Reducing in Fetal Magnetic Resonance Images 被引量:1
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作者 Ítalo Messias Félix Santos Gilson Antonio Giraldi +1 位作者 Heron Werner Junior Bruno Richard Schulze 《Journal of Computer and Communications》 2024年第6期210-225,共16页
This study addresses challenges in fetal magnetic resonance imaging (MRI) related to motion artifacts, maternal respiration, and hardware limitations. To enhance MRI quality, we employ deep learning techniques, specif... This study addresses challenges in fetal magnetic resonance imaging (MRI) related to motion artifacts, maternal respiration, and hardware limitations. To enhance MRI quality, we employ deep learning techniques, specifically utilizing Cycle GAN. Synthetic pairs of images, simulating artifacts in fetal MRI, are generated to train the model. Our primary contribution is the use of Cycle GAN for fetal MRI restoration, augmented by artificially corrupted data. We compare three approaches (supervised Cycle GAN, Pix2Pix, and Mobile Unet) for artifact removal. Experimental results demonstrate that the proposed supervised Cycle GAN effectively removes artifacts while preserving image details, as validated through Structural Similarity Index Measure (SSIM) and normalized Mean Absolute Error (MAE). The method proves comparable to alternatives but avoids the generation of spurious regions, which is crucial for medical accuracy. 展开更多
关键词 Fetal MRI Artifacts Removal Deep Learning Image Processing Generative Adversarial Networks
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NucleoCraft:The Art of Stimuli-Responsive Precision in DNA and RNA Bioengineering
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作者 Lu Yu Liangxiao Chen +2 位作者 Deeksha Satyabola Abhay Prasad Hao Yan 《Biomedical Engineering Frontiers》 2024年第1期132-150,共19页
Recent advancements in DNA and RNA bioengineering have paved the way for developing stimuli-responsive nanostructures with remarkable potential across various applications.These nanostructures,crafted through sophisti... Recent advancements in DNA and RNA bioengineering have paved the way for developing stimuli-responsive nanostructures with remarkable potential across various applications.These nanostructures,crafted through sophisticated bioengineering techniques,can dynamically and precisely respond to both physiological and physical stimuli,including nucleic acids(DNA/RNA),adenosine triphosphate,proteins,ions,small molecules,pH,light,and temperature.They offer high sensitivity and specificity,making them ideal for applications such as biomarker detection,gene therapy,and controlled targeted drug delivery.In this review,we summarize the bioengineering methods used to assemble versatile stimuli-responsive DNA/RNA nanostructures and discuss their emerging applications in structural biology and biomedicine,including biosensing,targeted drug delivery,and therapeutics.Finally,we highlight the challenges and opportunities in the rational design of these intelligent bioengineered nanostructures. 展开更多
关键词 DNA nanostructures BIOSENSING targeted drug delivery bioengineering techniquescan RNA nanostructures physiological physical stimuliincluding BIOENGINEERING nucleic acids dna rna adenosine triphosphateproteinsionssmall moleculesphlightand
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Bacillus atrophaeus DX-9 biocontrol against potato common scab involves significant changes in the soil microbiome and metabolome 被引量:1
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作者 Jingjing Cao Yue Ma +4 位作者 Jing Fu Zhiqin Wang Yonglong Zhao Naiqin Zhong Pan Zhao 《aBIOTECH》 2025年第1期33-49,共17页
Potato common scab(CS)is a worldwide disease,caused by Streptomyces spp.,and its presence reduces the market value of potatoes.A nontoxic and potentially effective approach in many control strategies is the use of ant... Potato common scab(CS)is a worldwide disease,caused by Streptomyces spp.,and its presence reduces the market value of potatoes.A nontoxic and potentially effective approach in many control strategies is the use of antagonistic microbes as biocontrol agents.In this study,Bacillus atrophaeus DX-9 was isolated and assessed for its ability to protect against CS.Through integrated metagenomic and metabolomic analyses,changes in the soil microbial community structure and soil properties were analyzed to understand the effects of Bacillus atrophaeus DX-9 on CS.These studies revealed that DX-9 inoculation could significantly decrease CS disease rate,disease index,and the number of CS pathogens,along with an increase in soil N and P content.Our metagenomic assays identified 102 phyla and 1154 genera,and DX-9 inoculation increased the relative abundances of the phyla Pseudomonadota,Chloroflexota and Gemmatimonadota.Additionally,an increase in the relative abundance of genera,such as Bradyrhizobium,Agrobacterium,and Nitrobacter,were significantly and positively correlated with soil N and P.Metabolomic analysis revealed that DX-9 inoculation significantly increased the soil levels of phytolaccoside A,7,8-dihydropteroic acid,novobiocin,and azafrin.These compounds were enriched in microbe pathway metabolites,including xenobiotic biodegradation and metabolism,biosynthesis of other secondary metabolites,and metabolism of cofactors and vitamins.In summary,the use of Bacillus atrophaeus DX-9 against potato CS offers an alternative biocontrol method that can improve both soil microbial community and properties.This study provides insight into the potential mechanisms by which microbial inoculants can control CS disease. 展开更多
关键词 Bacillus atrophaeus Solanum tuberosum BIOCONTROL Common scab Soil properties Microbial community
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基于CT图像统计纹理特征的甲状腺结节识别技术 被引量:7
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作者 彭文献 刘晨彬 +2 位作者 夏顺仁 陈益红 刘蕊 《航天医学与医学工程》 CAS CSCD 北大核心 2017年第4期258-262,共5页
目的探讨灰度共生矩阵和灰度梯度共生矩阵统计学纹理特征在CT图像上甲状腺结节良恶性鉴别的可行性。方法回顾性收集甲状腺结节经手术病理证实的CT图像134例,手动提取含结节的单侧甲状腺感兴趣区(region of interest,ROI)。计算ROI的统... 目的探讨灰度共生矩阵和灰度梯度共生矩阵统计学纹理特征在CT图像上甲状腺结节良恶性鉴别的可行性。方法回顾性收集甲状腺结节经手术病理证实的CT图像134例,手动提取含结节的单侧甲状腺感兴趣区(region of interest,ROI)。计算ROI的统计学纹理特征并归一化到[0,1],支持向量机作为分类器,并结合留一交叉验证法来评价实验效果。结果统计学纹理特征在甲状腺结节良恶性鉴别中的准确率为0.76,敏感度0.60,特异性0.86和受试者操作曲线下面积为0.81。结论基于灰度共生矩阵和灰度梯度共生矩阵的统计法纹理特征,在甲状腺CT图像上对于结节的良恶性鉴别具有较好的分类效果。 展开更多
关键词 甲状腺结节 灰度共生矩阵 纹理特征 支持向量机
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快速高效植物瞬时表达的实验室烟草无土栽培体系的构建 被引量:4
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作者 莫倩珍 麦荣嘉 +6 位作者 杨志晓 陈敏芳 杨铁钊 赖华芳 杨培梁 陈强 周晓红 《南方医科大学学报》 CAS CSCD 北大核心 2012年第6期772-777,共6页
目的构建适用于快速高效植物瞬时表达系统的实验室烟草无土栽培体系。方法优化烟草的无土栽培条件,基于Geminivirus新型植物高效瞬时表达系统,观察烟草品种、侵染时机、侵染工程菌浓度、侵染后叶片采收时间对无土栽培烟草表达绿色荧光蛋... 目的构建适用于快速高效植物瞬时表达系统的实验室烟草无土栽培体系。方法优化烟草的无土栽培条件,基于Geminivirus新型植物高效瞬时表达系统,观察烟草品种、侵染时机、侵染工程菌浓度、侵染后叶片采收时间对无土栽培烟草表达绿色荧光蛋白(GFP)的影响,以Western blot和ELISA分析GFP表达情况。结果烟草无土培育的最佳条件为:光照强度9000LX/层,光照时间16 h/d,日/夜温度28/21℃,相对湿度80%。侵染工程菌的最佳D600为0.8;叶片采收最佳时间为侵染后4 d;本明烟和豫烟5号最佳侵染时机分别为第6周和第5周;工程菌pBYGFPDsRed.R/LBA4404侵染的本明烟和豫烟5号均能高效表达GFP;豫烟5号的平均生物量高于本明烟。结论基于人工气候箱成功构建了实验室烟草无土栽培体系,并可实现GFP在本明烟和豫烟5号的快速高效表达。 展开更多
关键词 烟草 瞬时表达 无土栽培 绿色荧光蛋白
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Bioreduction of vanadium(V) in groundwater by autohydrogentrophic bacteria:Mechanisms and microorganisms 被引量:5
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作者 Xiaoyin Xu Siqing Xia +2 位作者 Lijie Zhou Zhiqiang Zhang Bruce E.Rittmann 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2015年第4期122-128,共7页
As one of the transition metals, vanadium(V)(V(V)) in trace amounts represents an essential element for normal cell growth, but becomes toxic when its concentration is above 1 mg/L. V(V) can alter cellular dif... As one of the transition metals, vanadium(V)(V(V)) in trace amounts represents an essential element for normal cell growth, but becomes toxic when its concentration is above 1 mg/L. V(V) can alter cellular differentiation, gene expression, and other biochemical and metabolic phenomena. A feasible method to detoxify V(V) is to reduce it to V(IV), which precipitates and can be readily removed from the water. The bioreduction of V(V) in a contaminated groundwater was investigated using autohydrogentrophic bacteria and hydrogen gas as the electron donor. Compared with the previous organic donors,H2 shows the advantages as an ideal electron donor, including nontoxicity and less production of excess biomass. V(V) was 95.5% removed by biochemical reduction when autohydrogentrophic bacteria and hydrogen were both present, and the reduced V(IV)precipitated, leading to total-V removal. Reduction kinetics could be described by a first-order model and were sensitive to p H and temperature, with the optimum ranges of p H 7.5–8.0 and 35–40°C, respectively. Phylogenetic analysis by clone library showed that the dominant species in the experiments with V(V) bioreduction belonged to theβ-Proteobacteria. Previously known V(V)-reducing species were absent, suggesting that V(V)reduction was carried out by novel species. Their selective enrichment during V(V)bioreduction suggests that Rhodocyclus, a denitrifying bacterium, and Clostridium, a fermenter known to carry out metal reduction, were responsible for V(V) bioreduction. 展开更多
关键词 Vanadium Bioreduction Hydrogen Rhodocyclus Clostridium
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Recent advances in photoelectrochemical sensors for detection of ions in water 被引量:1
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作者 Linyang Li Junlian Chen +8 位作者 Chuanbao Xiao Yihao Luo Nianbing Zhong Quanhua Xie Haixing Chang Dengjie Zhong Yunlan Xu Mingfu Zhao Qiang Liao 《Chinese Chemical Letters》 SCIE CAS CSCD 2023年第6期37-48,共12页
Over the last 50 years,the explosive adoption of modern agricultural practices has led to an enormous increase in the emission of non-biodegradable and highly biotoxic ions into the hydrosphere.Excess intake of such i... Over the last 50 years,the explosive adoption of modern agricultural practices has led to an enormous increase in the emission of non-biodegradable and highly biotoxic ions into the hydrosphere.Excess intake of such ions,even essential trace elements such as Cu^(2+)and F^(-),can have serious consequences on human health.Therefore,to ensure safe drinking water and regulate wastewater discharge,photoelectrochemical(PEC)online sensors were developed,with advantages such as low energy consumption,inherent miniaturization,simple instrumentation,and fast response.However,there is no publicly available systematic review of the recent advances in PEC ion sensors available in the literature since January 2017.Thus,this review covers the various strategies that have been used to enhance the sensitivity,selectivity,and limit of detection for PEC ion sensors.The photoelectrochemically active materials,conductive substrates,electronic transfer,and performance of various PEC sensors are discussed in detail and divided into sections based on the measurement principle and detected ion species.We conclude this review by highlighting the challenges and potential future avenues of research associated with the development of novel high-performance PEC sensors. 展开更多
关键词 Photoelectrochemical sensor Ion detection Working principle Electronic transfer Sensitivity and selectivity Limit of detection
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Organoids: a novel modality in disease modeling 被引量:5
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作者 Zahra Heydari Farideh Moeinvaziri +6 位作者 Tarun Agarwal Paria Pooyan Anastasia Shpichka Tapas KMaiti Peter Timashev Hossein Baharvand Massoud Vosough 《Bio-Design and Manufacturing》 SCIE EI CSCD 2021年第4期689-716,共28页
Limitations of monolayer culture conditions have motivated scientists to explore new models that can recapitulate the architecture and function of human organs more accurately.Recent advances in the improvement of pro... Limitations of monolayer culture conditions have motivated scientists to explore new models that can recapitulate the architecture and function of human organs more accurately.Recent advances in the improvement of protocols have resulted in establishing three-dimensional(3D)organ-like architectures called‘organoids’that can display the characteristics of their corresponding real organs,including morphological features,functional activities,and personalized responses to specific pathogens.We discuss different organoid-based 3D models herein,which are classified based on their original germinal layer.Studies of organoids simulating the complexity of real tissues could provide novel platforms and opportunities for generating practical knowledge along with preclinical studies,including drug screening,toxicology,and molecular pathophysiology of diseases.This paper also outlines the key challenges,advantages,and prospects of current organoid systems. 展开更多
关键词 Organoid Germ layer Disease modeling Drug screening
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穿越景观历史 葡萄牙布朗库堡区历史遗址景观修复
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作者 申亚男(翻译) 《风景园林》 2008年第6期71-73,共3页
“……这简直就是第二个花园。” 这完全就是1853年主教宫殿的果园和植床:环境优美,布局合理。
关键词 景观 历史 修复 遗址 布朗 葡萄 环境优美
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利用影像技术在线追踪测量植物生长速率及其对二氧化碳的响应
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作者 朱颖 秦兴才 +4 位作者 余晶晶 刘晨彬 杨玉婷 现晓军 陶农建 《南京大学学报(自然科学版)》 CAS CSCD 北大核心 2018年第4期665-671,共7页
二氧化碳(CO_2)是室内空气质量的重要监测指标之一,同时又是植物光合作用的原材料,与植物生长有着密切的联系.考虑植物生长速率与CO_2浓度之间的关联,利用影像技术发展在线追踪测量植物生长速率的方法,并探索利用该方法实时监测CO_2浓... 二氧化碳(CO_2)是室内空气质量的重要监测指标之一,同时又是植物光合作用的原材料,与植物生长有着密切的联系.考虑植物生长速率与CO_2浓度之间的关联,利用影像技术发展在线追踪测量植物生长速率的方法,并探索利用该方法实时监测CO_2浓度的可能性,建立基于植物的低成本、简单、灵敏的气体传感平台.使用普通的网络摄像头,开发了基于matlab的、极其灵敏的光学边界跟踪方法,实时测量了活体黄豆幼苗的生长速率(下胚轴茎高增长率)及其与二氧化碳浓度(400~1700ppm)之间的关系.结果显示,随着二氧化碳浓度的增加,植物生长速率从400ppm时的6μm·min^(-1)增加到800ppm时的22μm·min^(-1),但当浓度超过900ppm时,生长速率却随之降低.该方法所观察到的这种现象与文献中使用其他方法得到的结果大致相符,进一步验证了该方法的可信性.另外,此方法成本低、简单、灵敏、无污染,无需化学药品和专门仪器,未来不仅可能应用于空气质量监测,还可以用于植物生理学和农业科学研究. 展开更多
关键词 影像技术 植物生长速率 二氧化碳浓度 边界追踪
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Real-Time analysis of exosome secretion of single cells with single molecule imaging
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作者 PENGFEI ZHANG SHAOPENG WANG 《BIOCELL》 SCIE 2021年第6期1449-1451,共3页
The exosome-mediated response can promote or restrain the diseases by regulating the intracellular pathways,making the exosome become an effective marker for diagnosis and therapeutic control at the single-cell level.... The exosome-mediated response can promote or restrain the diseases by regulating the intracellular pathways,making the exosome become an effective marker for diagnosis and therapeutic control at the single-cell level.However,real-time analysis is hard to be achieved with traditional approaches because the exosomes usually need to be enriched by ultracentrifugation for a measurable signal-to-noise ratio.Recently developed label-free single-molecule imaging approaches may become an real-time quantitative tool for the analysis of single exosomes and related secretion behaviors of single living cells owing to their extreme sensitivity. 展开更多
关键词 Plasmonic scattering LABEL-FREE Single molecule imaging Cell secretion
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The roles of phosphate in shaping the structure and dynamics of Antarctic soil microbiomes
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作者 TAN Jiankang CAO Huansheng +6 位作者 LIU Li QIN Yiling LIU Feng John CAVA YIN Xiaofei SHEN Jihong WANG Nengfei 《Advances in Polar Science》 CSCD 2023年第1期28-44,共17页
One major consequence of global warming in the Antarctic region is increased ice-free zones.Subsequent colonization of these ice-free areas by penguins alters their biogeochemistry,with one prominent example being ele... One major consequence of global warming in the Antarctic region is increased ice-free zones.Subsequent colonization of these ice-free areas by penguins alters their biogeochemistry,with one prominent example being elevation of inorganic phosphate concentrations around feces depositions.The complex soil biochemistry in the region makes it difficult to define the causal factors of these changes using common research approaches.Here,we addressed the effects of phosphate alone on microbiome structure and dynamics over time by adding external phosphate to selected soils in the Antarctic region.We then analyzed the soil bacterial community composition and diversity using 16S rRNA amplicon sequencing and compared these data with phosphate levels.Parallel geochemical analysis revealed changes in nine soil geochemical factors upon phosphate addition,all of which were relevant to microbiome structure,with soil pH showing the highest correlation.Links between geochemical factors and composition were identified,as were interactions between bacterial taxa.Additionally,Sphingobacteriia,Sphingobacteriales and Chitinophagaceae were found to be more abundant in phosphate-treated soils.Co-occurrence network analysis revealed significantly increased levels of associations in all major network properties over time after phosphate supplementation.Therefore,we conclude phosphate addition has diverse effects on Antarctic soil microbiomes. 展开更多
关键词 PHOSPHATE ANTARCTIC microbiome composition network geochemical factors ice-free zone
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ECMpy 2.0:A Python package for automated construction and analysis of enzyme-constrained models 被引量:2
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作者 Zhitao Mao Jinhui Niu +8 位作者 Jianxiao Zhao Yuanyuan Huang Ke Wu Liyuan Yun Jirun Guan Qianqian Yuan Xiaoping Liao Zhiwen Wang Hongwu Ma 《Synthetic and Systems Biotechnology》 SCIE CSCD 2024年第3期494-502,共9页
Genome-scale metabolic models(GEMs)have been widely employed to predict microorganism behaviors.However,GEMs only consider stoichiometric constraints,leading to a linear increase in simulated growth and product yields... Genome-scale metabolic models(GEMs)have been widely employed to predict microorganism behaviors.However,GEMs only consider stoichiometric constraints,leading to a linear increase in simulated growth and product yields as substrate uptake rates rise.This divergence from experimental measurements prompted the creation of enzyme-constrained models(ecModels)for various species,successfully enhancing chemical pro-duction.Building upon studies that allocate macromolecule resources,we developed a Python-based workflow(ECMpy)that constructs an enzyme-constrained model.This involves directly imposing an enzyme amount constraint in GEM and accounting for protein subunit composition in reactions.However,this procedure de-mands manual collection of enzyme kinetic parameter information and subunit composition details,making it rather user-unfriendly.In this work,we’ve enhanced the ECMpy toolbox to version 2.0,broadening its scope to automatically generate ecGEMs for a wider array of organisms.ECMpy 2.0 automates the retrieval of enzyme kinetic parameters and employs machine learning for predicting these parameters,which significantly enhances parameter coverage.Additionally,ECMpy 2.0 introduces common analytical and visualization features for ecModels,rendering computational results more user accessible.Furthermore,ECMpy 2.0 seamlessly integrates three published algorithms that exploit ecModels to uncover potential targets for metabolic engineering.ECMpy 2.0 is available at https://github.com/tibbdc/ECMpy or as a pip package(https://pypi.org/project/ECMpy/). 展开更多
关键词 Enzyme-constrained model Python package Automated construction Multiple analysis functions
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The Effect of Organic Carbon on Soil Bacterial Diversity in an Antarctic Lake Region
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作者 HAN Wenbing WANG Nengfei +5 位作者 MA Yue LV Jinjiang WANG Shuang ZHANG Botao JIANG Zhihui CAO Huansheng 《Journal of Ocean University of China》 SCIE CAS CSCD 2019年第6期1402-1410,共9页
This study assessed the effects of changes in organic carbon content on soil bacterial community composition and diversity in the Antarctic Fildes Peninsula.16 S rRNA gene sequencing was performed to investigate bacte... This study assessed the effects of changes in organic carbon content on soil bacterial community composition and diversity in the Antarctic Fildes Peninsula.16 S rRNA gene sequencing was performed to investigate bacterial community composition.Firstly,we found that organic carbon(OrC)and nutrients showed an increasing trend in the lake area.Secondly,soil geochemistry changes affected microbial composition in the soil.Specifically,we found 3416 operational taxonomical units(OTUs)in 300 genera in five main phyla:Proteobacteria,Actinobacteria,Acidobacteria,Chloroflexi,and Bacteroidetes.Although the diversity was similar among the four sites,the composition was different.Among them,Hungateii content changed very significantly,from 16.67% to 33.33%.Canonical correspondence analysis showed that most measured geochemical factors were relevant in structuring microbiomes,and organic carbon concentration showed the highest correlation,followed by NO3^--N.Hungateii was significantly correlated with the content of organic carbon.Our finding suggested organic carbon played an important role in soil bacterial communities of the Antarctic coastal lake region. 展开更多
关键词 BACTERIAL community composition GEOCHEMICAL factor HIGH-THROUGHPUT SEQUENCING organic carbon
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