首页 > 最新文献

Open Respiratory Archives最新文献

英文 中文
Prognostic Value of Consolidation in Lung Tomography in Patients With Acute Respiratory Distress Syndrome 肺断层扫描对急性呼吸窘迫综合征患者合并症的预后价值
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100366
Santa Cruz Roberto , Domeniconi Gustavo , Favot Carolina , Pagano Fernando , Choi Marcelo
{"title":"Prognostic Value of Consolidation in Lung Tomography in Patients With Acute Respiratory Distress Syndrome","authors":"Santa Cruz Roberto , Domeniconi Gustavo , Favot Carolina , Pagano Fernando , Choi Marcelo","doi":"10.1016/j.opresp.2024.100366","DOIUrl":"10.1016/j.opresp.2024.100366","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100366"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Flecainide-associated Pneumonitis, a Case Report: COVID is Not All That it Seems 弗莱凯尼德相关性肺炎，病例报告：COVID 并非看上去那么简单
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100372
Diego Ferrer-Pargada , David Iturbe , Sandra Tello , Sheila Izquierdo , Elena Peña , Cristina Castrillo Bustamante , Javier Gómez-Roman
{"title":"Flecainide-associated Pneumonitis, a Case Report: COVID is Not All That it Seems","authors":"Diego Ferrer-Pargada , David Iturbe , Sandra Tello , Sheila Izquierdo , Elena Peña , Cristina Castrillo Bustamante , Javier Gómez-Roman","doi":"10.1016/j.opresp.2024.100372","DOIUrl":"10.1016/j.opresp.2024.100372","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100372"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Organizing Pneumonia Associated With Subclinical HSV Extrapulmonary Infection in an Immunocompetent Host: A Case Report 免疫功能正常宿主亚临床 HSV 肺外感染引发的组织性肺炎：病例报告
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100367
Anna Michela Gaeta , Anna Annunziata , Giuseppe Fiorentino
{"title":"Organizing Pneumonia Associated With Subclinical HSV Extrapulmonary Infection in an Immunocompetent Host: A Case Report","authors":"Anna Michela Gaeta , Anna Annunziata , Giuseppe Fiorentino","doi":"10.1016/j.opresp.2024.100367","DOIUrl":"10.1016/j.opresp.2024.100367","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100367"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pulmonary Embolism: Is AI One of the Team? 肺栓塞：人工智能是团队中的一员吗？
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100371
Sara Lojo-Lendoiro , Ignacio Díaz-Lorenzo , Jose Andrés Guirola Ortíz , Fernando Gómez Muñoz
{"title":"Pulmonary Embolism: Is AI One of the Team?","authors":"Sara Lojo-Lendoiro , Ignacio Díaz-Lorenzo , Jose Andrés Guirola Ortíz , Fernando Gómez Muñoz","doi":"10.1016/j.opresp.2024.100371","DOIUrl":"10.1016/j.opresp.2024.100371","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 ","pages":"Article 100371"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Personalized Medicine in Severe Asthma: Bridging the Gaps 重症哮喘的个性化医疗：缩小差距
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100368
Juan Luis García-Rivero , Ismael García-Moguel
{"title":"Personalized Medicine in Severe Asthma: Bridging the Gaps","authors":"Juan Luis García-Rivero , Ismael García-Moguel","doi":"10.1016/j.opresp.2024.100368","DOIUrl":"10.1016/j.opresp.2024.100368","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100368"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COPD Exacerbation by SARS-CoV-2. A Cause of Future Poor Disease Control? SARS-CoV-2导致慢性阻塞性肺病恶化。未来疾病控制不力的原因？
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100369
Juan Marco Figueira-Gonçalves , Rafael Golpe
{"title":"COPD Exacerbation by SARS-CoV-2. A Cause of Future Poor Disease Control?","authors":"Juan Marco Figueira-Gonçalves , Rafael Golpe","doi":"10.1016/j.opresp.2024.100369","DOIUrl":"10.1016/j.opresp.2024.100369","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100369"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142440878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Older Patients With Interstitial Lung Disease Feature a Distinct Clinical Profile 老年间质性肺病患者具有独特的临床特征。
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100374
Laura Feltrer-Martínez , Sandra Orozco , Ana Alonso , Paloma Millan-Billi , Silvia Barril , Gisela Ruibal , Joel Francesqui , David Lobo-Prat , Ana Gimenez , Laura Lopez , Laura Martinez-Martinez , Ivan Castellvi , Diego Castillo

Introduction

There are few studies investigating the clinical profile of older patients with interstitial lung disease (ILD), so this study investigated the characteristics of the older population diagnosed with ILD.

Material and methods

Retrospective study in a population of new referrals at an ILD clinic from January 2013 to September 2017. Patients over 64 years were selected. Data collection included diseases variables, diagnostic procedures and comorbidities. Gender-age-physiology (GAP) stage, composite physiologic index (CPI) and Charlson index was calculated. Statistical analysis was performed to investigate risk factors associated with survival.

Results

A total of 232 patients were included in this study. Mean age was 76.3 years (SD 6.5). As per protocol, 69.3% completed the initial assessment but this was lower in the elderly group (61.5%). The most frequent diagnosis was unclassifiable ILD (24.1%), followed by ILD associated with connective tissue disease (21.6%), IPF (12.1%) and hypersensitivity pneumonitis (10.3%). During follow-up (36.7 months (SD 28.6)) a significant proportion of patients died (55 cases, 23.7% of the cohort), especially in the late older group (30.4%). Kaplan–Meier curves showed that those over 75 years have a worse survival even when adjusted by covariables (p < 0.001). CPI was the only score with statistical significance in a multivariate analysis (HR 1.06. p 0.006).

Conclusions

Older adults with ILD featured a distinct clinical profile. Our findings highlight the need to develop non-invasive biomarkers and specific scores adapted to this age-group.
导论：关于老年间质性肺疾病（ILD）患者临床特征的研究很少，因此本研究探讨了老年间质性肺疾病患者的特征。材料和方法：对2013年1月至2017年9月间一家ILD诊所的新转诊人群进行回顾性研究。选择年龄超过64岁的患者。数据收集包括疾病变量、诊断程序和合并症。计算性别-年龄-生理（GAP）分期、综合生理指数（CPI）和Charlson指数。统计分析与生存相关的危险因素。结果：本研究共纳入232例患者。平均年龄76.3岁（SD 6.5）。根据方案，69.3%的患者完成了初步评估，但这一比例在老年组中较低（61.5%）。最常见的诊断是无法分类的ILD(24.1%)，其次是与结缔组织病相关的ILD (21.6%)， IPF（12.1%）和超敏性肺炎（10.3%）。在随访期间（36.7个月（SD 28.6）），有相当比例的患者死亡（55例，占队列的23.7%），特别是在老年晚期组（30.4%）。Kaplan-Meier曲线显示，即使经协变量调整，75岁以上患者的生存率也较低（p < 0.006）。结论：老年ILD患者具有独特的临床特征。我们的研究结果强调了开发适合该年龄组的非侵入性生物标志物和特定评分的必要性。
{"title":"Older Patients With Interstitial Lung Disease Feature a Distinct Clinical Profile","authors":"Laura Feltrer-Martínez ,&nbsp;Sandra Orozco ,&nbsp;Ana Alonso ,&nbsp;Paloma Millan-Billi ,&nbsp;Silvia Barril ,&nbsp;Gisela Ruibal ,&nbsp;Joel Francesqui ,&nbsp;David Lobo-Prat ,&nbsp;Ana Gimenez ,&nbsp;Laura Lopez ,&nbsp;Laura Martinez-Martinez ,&nbsp;Ivan Castellvi ,&nbsp;Diego Castillo","doi":"10.1016/j.opresp.2024.100374","DOIUrl":"10.1016/j.opresp.2024.100374","url":null,"abstract":"<div><h3>Introduction</h3><div>There are few studies investigating the clinical profile of older patients with interstitial lung disease (ILD), so this study investigated the characteristics of the older population diagnosed with ILD.</div></div><div><h3>Material and methods</h3><div>Retrospective study in a population of new referrals at an ILD clinic from January 2013 to September 2017. Patients over 64 years were selected. Data collection included diseases variables, diagnostic procedures and comorbidities. Gender-age-physiology (GAP) stage, composite physiologic index (CPI) and Charlson index was calculated. Statistical analysis was performed to investigate risk factors associated with survival.</div></div><div><h3>Results</h3><div>A total of 232 patients were included in this study. Mean age was 76.3 years (SD 6.5). As per protocol, 69.3% completed the initial assessment but this was lower in the elderly group (61.5%). The most frequent diagnosis was unclassifiable ILD (24.1%), followed by ILD associated with connective tissue disease (21.6%), IPF (12.1%) and hypersensitivity pneumonitis (10.3%). During follow-up (36.7 months (SD 28.6)) a significant proportion of patients died (55 cases, 23.7% of the cohort), especially in the late older group (30.4%). Kaplan–Meier curves showed that those over 75 years have a worse survival even when adjusted by covariables (<em>p</em> <!-->&lt;<!--> <!-->0.001). CPI was the only score with statistical significance in a multivariate analysis (HR 1.06. <em>p</em> 0.006).</div></div><div><h3>Conclusions</h3><div>Older adults with ILD featured a distinct clinical profile. Our findings highlight the need to develop non-invasive biomarkers and specific scores adapted to this age-group.</div></div>","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100374"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11653131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Innovación en sueño
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2025.100402
Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar
Advances in sleep medicine have driven significant improvements in the diagnosis and treatment of sleep disorders such as obstructive sleep apnea (OSA). This disorder affects one billion people worldwide and traditionally, diagnosis is based on polysomnography (PSG), a laborious method that requires specialized personnel. However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.
Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. These advances make it possible to improve the efficiency of sleep labs and to personalize OSA treatment. In addition, techniques such as cluster analysis are used to identify symptomatic patterns and phenotypes, which improves understanding of OSA pathophysiology and optimizes CPAP treatment.
However, implementation of AI in hospitals faces technological, ethical, and legal barriers. Challenges include data quality, patient privacy, and the need for specialized personnel. Despite these obstacles, AI and Big Data have the potential to transform medical care for sleep disorders, improving both diagnosis and treatment adherence, provided regulatory and cultural barriers are overcome.
{"title":"Innovación en sueño","authors":"Laura Vigil,&nbsp;Toni Zapata,&nbsp;Andrea Grau,&nbsp;Marta Bonet,&nbsp;Montserrat Montaña,&nbsp;María Piñar","doi":"10.1016/j.opresp.2025.100402","DOIUrl":"10.1016/j.opresp.2025.100402","url":null,"abstract":"<div><div>Advances in sleep medicine have driven significant improvements in the diagnosis and treatment of sleep disorders such as obstructive sleep apnea (OSA). This disorder affects one billion people worldwide and traditionally, diagnosis is based on polysomnography (PSG), a laborious method that requires specialized personnel. However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.</div><div>Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. These advances make it possible to improve the efficiency of sleep labs and to personalize OSA treatment. In addition, techniques such as cluster analysis are used to identify symptomatic patterns and phenotypes, which improves understanding of OSA pathophysiology and optimizes CPAP treatment.</div><div>However, implementation of AI in hospitals faces technological, ethical, and legal barriers. Challenges include data quality, patient privacy, and the need for specialized personnel. Despite these obstacles, AI and Big Data have the potential to transform medical care for sleep disorders, improving both diagnosis and treatment adherence, provided regulatory and cultural barriers are overcome.</div></div>","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 ","pages":"Article 100402"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gemelos digitales pulmonares
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100394
Ana Fernández-Tena , Carlos Arnedo , Guillaume Houzeaux , Beatriz Eguzkitza
The development of lung digital twins (DTs) represents a significant advance in personalized medicine, providing a virtual framework that replicates the structure, function, and pathology of the respiratory system in an individualized manner. DTs integrate clinical data, high-resolution images, and mathematical models to simulate respiratory mechanics, gas diffusion, and fluid dynamics in real time. This technology improves diagnosis, treatment planning, and disease progression monitoring. One of the key applications of lung DTs is the ability to simulate patient-specific response to treatments and predict outcomes, allowing for personalized therapies. Despite advances, the implementation of DTs in clinical practice faces challenges related to data integration, computational efficiency, and ethical considerations regarding data privacy. Nevertheless, lung DTs offer clear promise for improving precision medicine, optimizing patient care, and improving clinical outcomes.
{"title":"Gemelos digitales pulmonares","authors":"Ana Fernández-Tena ,&nbsp;Carlos Arnedo ,&nbsp;Guillaume Houzeaux ,&nbsp;Beatriz Eguzkitza","doi":"10.1016/j.opresp.2024.100394","DOIUrl":"10.1016/j.opresp.2024.100394","url":null,"abstract":"<div><div>The development of lung digital twins (DTs) represents a significant advance in personalized medicine, providing a virtual framework that replicates the structure, function, and pathology of the respiratory system in an individualized manner. DTs integrate clinical data, high-resolution images, and mathematical models to simulate respiratory mechanics, gas diffusion, and fluid dynamics in real time. This technology improves diagnosis, treatment planning, and disease progression monitoring. One of the key applications of lung DTs is the ability to simulate patient-specific response to treatments and predict outcomes, allowing for personalized therapies. Despite advances, the implementation of DTs in clinical practice faces challenges related to data integration, computational efficiency, and ethical considerations regarding data privacy. Nevertheless, lung DTs offer clear promise for improving precision medicine, optimizing patient care, and improving clinical outcomes.</div></div>","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 ","pages":"Article 100394"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Innovative Use of 3D Reconstruction Models of the Pulmonary Artery for Preoperative Planning 肺动脉三维重建模型在术前规划中的创新应用
Q4 Medicine
Open Respiratory Archives
Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100380
Andres Obeso , Numan Balci , Yusuf Bayrak , Usman Ahmad
{"title":"Innovative Use of 3D Reconstruction Models of the Pulmonary Artery for Preoperative Planning","authors":"Andres Obeso ,&nbsp;Numan Balci ,&nbsp;Yusuf Bayrak ,&nbsp;Usman Ahmad","doi":"10.1016/j.opresp.2024.100380","DOIUrl":"10.1016/j.opresp.2024.100380","url":null,"abstract":"","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 ","pages":"Article 100380"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142759103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
类型
全部 化学•材料 生命科学 医学 物理 工程技术 环境•农林 材料科学 地球科学 法学 管理学 化学 环境科学与生态学 计算机科学 教育学 经济学 农林科学 人文科学 生物学 数学 物理与天体物理 心理学 综合性期刊 其他 工业工程 理学 历史学 农学 文学 信息工程
数据库
全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley
期刊
Open Respiratory Archives
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
﹀
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们：info@booksci.cn
Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1