首页 > 最新文献

Archives of Clinical Infectious Diseases最新文献

英文 中文
Comprehensive Evaluation of COVID-19 Vaccines Antibody Response Among Healthcare Professionals: A Multi-Center Study in Iran 全面评估医护人员对 COVID-19 疫苗的抗体反应:伊朗多中心研究
Pub Date : 2024-02-05 DOI: 10.5812/archcid-143913
Zahra Panahi, Parisa Kianpour, Sajad Sahab-Negah, M. H. Karbalaie Niya, S. Nadji, Reza Mourtami, Atabak Najafi, Babak Jahangiri, Reza Pourfallah, Mahdi Chahabi, Mina Nouri, Fatemeh Beiraghdar, Mahin Jamshidi Makiani
Background: The coronavirus disease 2019 (COVID-19) vaccines are very good at protecting individuals from serious illness, needing hospital care, and dying from different strains of the virus. However, vaccines might not completely prevent individuals from catching and spreading the virus, and this might depend on some personal factors. Objectives: To find out the immune response of COVID-19 vaccines, this cross-sectional study conducted within June 2021 to May 2023 assessed different types of COVID-19 vaccine antibody responses among healthcare professionals and their associations with demographic factors and comorbidity risk factors. Methods: This descriptive-analytical study was conducted on recruited healthcare professionals from Sina, Imam Khomeini Complex, 501 AJA, Baqiayatallah, and Firoozgar hospitals in Tehran, Iran. The vaccines whose antibody response was investigated in this study are Sinopharm® (China), AstraZeneca® (United Kingdom), Sputnik® (Russia), and Covaxin® (India). Anti-spike, anti-receptor-binding domain (RBD), and anti-neutralizing immunoglobulin G (IgG) were evaluated by commercial kits according to instructions. Results: This study involved 1 029 healthcare workers who were over 18 years old. The average age was 41.48 ± 9.9 years, and 602 (58.5%) of them were male. The vaccines they received were Sputnik V (392 or 38.16%), AstraZeneca (335 or 32.61%), Baharat (45 or 4.3%), and Sinopharm (255 or 24.82%). The Covaxin and AstraZeneca vaccines increased both anti-RBD and anti-neutralizing IgG Ab levels; however, the Sinopharm vaccine increased only the latter. The Sputnik vaccine was the least effective. Gender and diabetes influenced the antibody levels, but age did not. Conclusions: This study revealed the substantial effectiveness of COVID-19 vaccines in generating robust antibody responses among healthcare professionals. All four vaccine types, Sinopharm, AstraZeneca, Sputnik, and Covaxin, elicited significant antibody responses in over 70% of participants, highlighting the crucial role of vaccination in building defense against COVID-19.
背景:2019 年冠状病毒病(COVID-19)疫苗能很好地保护个人免受不同病毒株的严重疾病、住院治疗和死亡。但是,疫苗可能无法完全防止个人感染和传播病毒,这可能取决于一些个人因素。研究目的为了了解 COVID-19 疫苗的免疫反应,这项横断面研究在 2021 年 6 月至 2023 年 5 月期间进行,评估了医疗保健专业人员对不同类型 COVID-19 疫苗的抗体反应及其与人口统计学因素和合并症风险因素的关系。方法:这项描述性分析研究的对象是来自伊朗德黑兰西纳医院、伊玛目-霍梅尼综合医院、501 AJA 医院、Baqiayatallah 医院和 Firoozgar 医院的医护人员。本研究调查抗体反应的疫苗是国药集团®(中国)、阿斯利康®(英国)、斯巴尼克®(俄罗斯)和可维欣®(印度)。抗尖峰抗体、抗受体结合域(RBD)抗体和抗中性免疫球蛋白 G(IgG)抗体均按说明使用商业试剂盒进行评估。结果:本研究涉及 1 029 名 18 岁以上的医护人员。平均年龄为 41.48 ± 9.9 岁,其中 602 人(58.5%)为男性。他们接种的疫苗分别是斯巴尼克五号(392人,占38.16%)、阿斯利康(335人,占32.61%)、百华(45人,占4.3%)和国药(255人,占24.82%)。康维欣和阿斯利康疫苗同时提高了抗 RBD 和抗中性 IgG Ab 的水平;而国药疫苗只提高了后者。斯巴尼克疫苗的效果最差。性别和糖尿病会影响抗体水平,但年龄不会。结论本研究揭示了 COVID-19 疫苗在医护人员中产生强大抗体反应的巨大功效。国药集团、阿斯利康、斯巴尼克和科华新这四种疫苗都能在70%以上的参与者中引起明显的抗体反应,这突出了疫苗接种在建立COVID-19防御体系中的关键作用。
{"title":"Comprehensive Evaluation of COVID-19 Vaccines Antibody Response Among Healthcare Professionals: A Multi-Center Study in Iran","authors":"Zahra Panahi, Parisa Kianpour, Sajad Sahab-Negah, M. H. Karbalaie Niya, S. Nadji, Reza Mourtami, Atabak Najafi, Babak Jahangiri, Reza Pourfallah, Mahdi Chahabi, Mina Nouri, Fatemeh Beiraghdar, Mahin Jamshidi Makiani","doi":"10.5812/archcid-143913","DOIUrl":"https://doi.org/10.5812/archcid-143913","url":null,"abstract":"Background: The coronavirus disease 2019 (COVID-19) vaccines are very good at protecting individuals from serious illness, needing hospital care, and dying from different strains of the virus. However, vaccines might not completely prevent individuals from catching and spreading the virus, and this might depend on some personal factors. Objectives: To find out the immune response of COVID-19 vaccines, this cross-sectional study conducted within June 2021 to May 2023 assessed different types of COVID-19 vaccine antibody responses among healthcare professionals and their associations with demographic factors and comorbidity risk factors. Methods: This descriptive-analytical study was conducted on recruited healthcare professionals from Sina, Imam Khomeini Complex, 501 AJA, Baqiayatallah, and Firoozgar hospitals in Tehran, Iran. The vaccines whose antibody response was investigated in this study are Sinopharm® (China), AstraZeneca® (United Kingdom), Sputnik® (Russia), and Covaxin® (India). Anti-spike, anti-receptor-binding domain (RBD), and anti-neutralizing immunoglobulin G (IgG) were evaluated by commercial kits according to instructions. Results: This study involved 1 029 healthcare workers who were over 18 years old. The average age was 41.48 ± 9.9 years, and 602 (58.5%) of them were male. The vaccines they received were Sputnik V (392 or 38.16%), AstraZeneca (335 or 32.61%), Baharat (45 or 4.3%), and Sinopharm (255 or 24.82%). The Covaxin and AstraZeneca vaccines increased both anti-RBD and anti-neutralizing IgG Ab levels; however, the Sinopharm vaccine increased only the latter. The Sputnik vaccine was the least effective. Gender and diabetes influenced the antibody levels, but age did not. Conclusions: This study revealed the substantial effectiveness of COVID-19 vaccines in generating robust antibody responses among healthcare professionals. All four vaccine types, Sinopharm, AstraZeneca, Sputnik, and Covaxin, elicited significant antibody responses in over 70% of participants, highlighting the crucial role of vaccination in building defense against COVID-19.","PeriodicalId":505511,"journal":{"name":"Archives of Clinical Infectious Diseases","volume":"64 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139863148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive Evaluation of COVID-19 Vaccines Antibody Response Among Healthcare Professionals: A Multi-Center Study in Iran 全面评估医护人员对 COVID-19 疫苗的抗体反应:伊朗多中心研究
Pub Date : 2024-02-05 DOI: 10.5812/archcid-143913
Zahra Panahi, Parisa Kianpour, Sajad Sahab-Negah, M. H. Karbalaie Niya, S. Nadji, Reza Mourtami, Atabak Najafi, Babak Jahangiri, Reza Pourfallah, Mahdi Chahabi, Mina Nouri, Fatemeh Beiraghdar, Mahin Jamshidi Makiani
Background: The coronavirus disease 2019 (COVID-19) vaccines are very good at protecting individuals from serious illness, needing hospital care, and dying from different strains of the virus. However, vaccines might not completely prevent individuals from catching and spreading the virus, and this might depend on some personal factors. Objectives: To find out the immune response of COVID-19 vaccines, this cross-sectional study conducted within June 2021 to May 2023 assessed different types of COVID-19 vaccine antibody responses among healthcare professionals and their associations with demographic factors and comorbidity risk factors. Methods: This descriptive-analytical study was conducted on recruited healthcare professionals from Sina, Imam Khomeini Complex, 501 AJA, Baqiayatallah, and Firoozgar hospitals in Tehran, Iran. The vaccines whose antibody response was investigated in this study are Sinopharm® (China), AstraZeneca® (United Kingdom), Sputnik® (Russia), and Covaxin® (India). Anti-spike, anti-receptor-binding domain (RBD), and anti-neutralizing immunoglobulin G (IgG) were evaluated by commercial kits according to instructions. Results: This study involved 1 029 healthcare workers who were over 18 years old. The average age was 41.48 ± 9.9 years, and 602 (58.5%) of them were male. The vaccines they received were Sputnik V (392 or 38.16%), AstraZeneca (335 or 32.61%), Baharat (45 or 4.3%), and Sinopharm (255 or 24.82%). The Covaxin and AstraZeneca vaccines increased both anti-RBD and anti-neutralizing IgG Ab levels; however, the Sinopharm vaccine increased only the latter. The Sputnik vaccine was the least effective. Gender and diabetes influenced the antibody levels, but age did not. Conclusions: This study revealed the substantial effectiveness of COVID-19 vaccines in generating robust antibody responses among healthcare professionals. All four vaccine types, Sinopharm, AstraZeneca, Sputnik, and Covaxin, elicited significant antibody responses in over 70% of participants, highlighting the crucial role of vaccination in building defense against COVID-19.
背景:2019 年冠状病毒病(COVID-19)疫苗能很好地保护个人免受不同病毒株的严重疾病、住院治疗和死亡。但是,疫苗可能无法完全防止个人感染和传播病毒,这可能取决于一些个人因素。研究目的为了了解 COVID-19 疫苗的免疫反应,这项横断面研究在 2021 年 6 月至 2023 年 5 月期间进行,评估了医疗保健专业人员对不同类型 COVID-19 疫苗的抗体反应及其与人口统计学因素和合并症风险因素的关系。方法:这项描述性分析研究的对象是来自伊朗德黑兰西纳医院、伊玛目-霍梅尼综合医院、501 AJA 医院、Baqiayatallah 医院和 Firoozgar 医院的医护人员。本研究调查抗体反应的疫苗是国药集团®(中国)、阿斯利康®(英国)、斯巴尼克®(俄罗斯)和可维欣®(印度)。抗尖峰抗体、抗受体结合域(RBD)抗体和抗中性免疫球蛋白 G(IgG)抗体均按说明使用商业试剂盒进行评估。结果:本研究涉及 1 029 名 18 岁以上的医护人员。平均年龄为 41.48 ± 9.9 岁,其中 602 人(58.5%)为男性。他们接种的疫苗分别是斯巴尼克五号(392人,占38.16%)、阿斯利康(335人,占32.61%)、百华(45人,占4.3%)和国药(255人,占24.82%)。康维欣和阿斯利康疫苗同时提高了抗 RBD 和抗中性 IgG Ab 的水平;而国药疫苗只提高了后者。斯巴尼克疫苗的效果最差。性别和糖尿病会影响抗体水平,但年龄不会。结论本研究揭示了 COVID-19 疫苗在医护人员中产生强大抗体反应的巨大功效。国药集团、阿斯利康、斯巴尼克和科华新这四种疫苗都能在70%以上的参与者中引起明显的抗体反应,这突出了疫苗接种在建立COVID-19防御体系中的关键作用。
{"title":"Comprehensive Evaluation of COVID-19 Vaccines Antibody Response Among Healthcare Professionals: A Multi-Center Study in Iran","authors":"Zahra Panahi, Parisa Kianpour, Sajad Sahab-Negah, M. H. Karbalaie Niya, S. Nadji, Reza Mourtami, Atabak Najafi, Babak Jahangiri, Reza Pourfallah, Mahdi Chahabi, Mina Nouri, Fatemeh Beiraghdar, Mahin Jamshidi Makiani","doi":"10.5812/archcid-143913","DOIUrl":"https://doi.org/10.5812/archcid-143913","url":null,"abstract":"Background: The coronavirus disease 2019 (COVID-19) vaccines are very good at protecting individuals from serious illness, needing hospital care, and dying from different strains of the virus. However, vaccines might not completely prevent individuals from catching and spreading the virus, and this might depend on some personal factors. Objectives: To find out the immune response of COVID-19 vaccines, this cross-sectional study conducted within June 2021 to May 2023 assessed different types of COVID-19 vaccine antibody responses among healthcare professionals and their associations with demographic factors and comorbidity risk factors. Methods: This descriptive-analytical study was conducted on recruited healthcare professionals from Sina, Imam Khomeini Complex, 501 AJA, Baqiayatallah, and Firoozgar hospitals in Tehran, Iran. The vaccines whose antibody response was investigated in this study are Sinopharm® (China), AstraZeneca® (United Kingdom), Sputnik® (Russia), and Covaxin® (India). Anti-spike, anti-receptor-binding domain (RBD), and anti-neutralizing immunoglobulin G (IgG) were evaluated by commercial kits according to instructions. Results: This study involved 1 029 healthcare workers who were over 18 years old. The average age was 41.48 ± 9.9 years, and 602 (58.5%) of them were male. The vaccines they received were Sputnik V (392 or 38.16%), AstraZeneca (335 or 32.61%), Baharat (45 or 4.3%), and Sinopharm (255 or 24.82%). The Covaxin and AstraZeneca vaccines increased both anti-RBD and anti-neutralizing IgG Ab levels; however, the Sinopharm vaccine increased only the latter. The Sputnik vaccine was the least effective. Gender and diabetes influenced the antibody levels, but age did not. Conclusions: This study revealed the substantial effectiveness of COVID-19 vaccines in generating robust antibody responses among healthcare professionals. All four vaccine types, Sinopharm, AstraZeneca, Sputnik, and Covaxin, elicited significant antibody responses in over 70% of participants, highlighting the crucial role of vaccination in building defense against COVID-19.","PeriodicalId":505511,"journal":{"name":"Archives of Clinical Infectious Diseases","volume":"26 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139803323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigating the Seroconversion Patterns of Specific Antibodies Against Various Antigens of SARS-CoV-2 in Hospitalized COVID-19 Patients and Vaccinated Individuals 调查 COVID-19 住院患者和疫苗接种者针对 SARS-CoV-2 不同抗原的特异性抗体的血清转换模式
Pub Date : 2024-02-05 DOI: 10.5812/archcid-140414
Shahrzad Matinfar, Sahar Mortezagholi, Darya Amiri, Hossein Pashaiefar, Maryam Eskandarian, Somayeh Ghadimi, Mohammad Farzad Nazari, Shole Tavakoli, Melika Valizadeh, Saeed Namaki, P. Tabarsi, Mehdi Boutrabi, Mahdi Shabani
Background: Inducing a humoral response to SARS-CoV-2 may partially control virus dissemination. However, there is a lack of consistency in the reported kinetics of IgM and IgG responses to SARS-CoV-2. Additionally, the humoral response to SARS-CoV-2 may differ from that elicited by vaccination. Therefore, we were motivated to evaluate the kinetics of antibodies against SARS-CoV-2 in both infected and vaccinated individuals. Objectives: This study aimed to investigate the seroconversion patterns of specific antibodies against various antigens of SARS-CoV-2 in hospitalized COVID-19 patients and vaccinated individuals, focusing specifically on comparing the humoral responses elicited by infection and vaccination. Methods: Serial blood and swab samples were collected from 134 COVID-19 patients at six time points following admission. Real-time RT-PCR specific for SARS-CoV-2, as well as anti-SARS-CoV-2 IgM and IgG, were tested using ELISA. Additionally, 141 serum samples were obtained from vaccinated individuals. Anti-SARS-CoV-2 spike and RBD IgGs, along with neutralizing antibodies (NAs), were assessed using ELISA in both the vaccinated group and 96 COVID-19 patients. Results: Anti-SARS-CoV-2 IgM was found positive in 23.3% of patients at 0 - 7 days after symptom onset, with seropositivity increasing to 71.7% at 15 - 21 days. Subsequently, IgM positivity gradually decreased to 62.7% at > 28 days post-symptom onset. Meanwhile, anti-SARS-CoV-2 IgG was positive in 28.3% of patients at 0 -7 days, rising to 83.7% at 22 - 28 days after symptom onset, and remained constant thereafter. Anti-spike and RBD IgGs, along with NAs, were detected in 89.7%, 87.4%, and 87.9% of vaccinated individuals, respectively, and in 37.5%, 32.3%, and 32.3% of COVID-19 patients, respectively. There was a significant correlation between anti-spike IgG and anti-RBD IgG levels and NAs in both COVID-19-infected and vaccinated individuals. The mean concentrations of anti-spike and RBD IgGs were higher in vaccinated individuals with a history of COVID-19 infection compared to those without prior infection. Conclusions: The antibody profile for IgM and IgG against SARS-CoV-2 suggests that as time passes after the onset of disease symptoms, the seropositivity in COVID-19 patients increases. Furthermore, antibodies against SARS-CoV-2 are produced more efficiently through COVID-19 vaccination than natural infection.
背景:诱导对 SARS-CoV-2 的体液反应可部分控制病毒传播。然而,所报道的对 SARS-CoV-2 的 IgM 和 IgG 反应动力学缺乏一致性。此外,对 SARS-CoV-2 的体液反应可能与疫苗接种引起的反应不同。因此,我们决定评估感染者和接种者体内针对 SARS-CoV-2 的抗体动力学。研究目的本研究旨在调查住院的 COVID-19 患者和接种疫苗者体内针对 SARS-CoV-2 不同抗原的特异性抗体的血清转换模式,特别侧重于比较感染和接种疫苗引起的体液反应。研究方法在 134 名 COVID-19 患者入院后的 6 个时间点采集了连续的血液和拭子样本。采用 ELISA 方法对 SARS-CoV-2 的特异性实时 RT-PCR 以及抗 SARS-CoV-2 IgM 和 IgG 进行了检测。此外,还从接种过疫苗的患者中采集了 141 份血清样本。使用 ELISA 方法评估了接种疫苗组和 96 名 COVID-19 患者的抗 SARS-CoV-2 穗状抗体和 RBD IgG 以及中和抗体 (NAs)。结果显示症状出现后 0-7 天,23.3% 的患者发现抗 SARS-CoV-2 IgM 阳性,15-21 天血清阳性率增至 71.7%。随后,IgM 阳性率在症状出现后超过 28 天时逐渐下降至 62.7%。同时,抗 SARS-CoV-2 IgG 阳性率在发病后 0-7 天为 28.3%,在发病后 22-28 天升至 83.7%,此后保持不变。在 89.7%、87.4% 和 87.9% 的疫苗接种者中,以及在 37.5%、32.3% 和 32.3% 的 COVID-19 患者中,分别检测到抗尖峰抗体和 RBD IgG 以及 NAs。COVID-19 感染者和疫苗接种者的抗穗IgG和抗RBD IgG水平与NAs之间存在明显的相关性。与无COVID-19感染史的人相比,接种过疫苗的人抗尖头穗状病毒IgG和抗RBD IgG的平均浓度更高。结论针对 SARS-CoV-2 的 IgM 和 IgG 抗体谱表明,随着疾病症状出现后时间的推移,COVID-19 患者的血清阳性率会升高。此外,通过接种 COVID-19 疫苗产生的 SARS-CoV-2 抗体比自然感染更有效。
{"title":"Investigating the Seroconversion Patterns of Specific Antibodies Against Various Antigens of SARS-CoV-2 in Hospitalized COVID-19 Patients and Vaccinated Individuals","authors":"Shahrzad Matinfar, Sahar Mortezagholi, Darya Amiri, Hossein Pashaiefar, Maryam Eskandarian, Somayeh Ghadimi, Mohammad Farzad Nazari, Shole Tavakoli, Melika Valizadeh, Saeed Namaki, P. Tabarsi, Mehdi Boutrabi, Mahdi Shabani","doi":"10.5812/archcid-140414","DOIUrl":"https://doi.org/10.5812/archcid-140414","url":null,"abstract":"Background: Inducing a humoral response to SARS-CoV-2 may partially control virus dissemination. However, there is a lack of consistency in the reported kinetics of IgM and IgG responses to SARS-CoV-2. Additionally, the humoral response to SARS-CoV-2 may differ from that elicited by vaccination. Therefore, we were motivated to evaluate the kinetics of antibodies against SARS-CoV-2 in both infected and vaccinated individuals. Objectives: This study aimed to investigate the seroconversion patterns of specific antibodies against various antigens of SARS-CoV-2 in hospitalized COVID-19 patients and vaccinated individuals, focusing specifically on comparing the humoral responses elicited by infection and vaccination. Methods: Serial blood and swab samples were collected from 134 COVID-19 patients at six time points following admission. Real-time RT-PCR specific for SARS-CoV-2, as well as anti-SARS-CoV-2 IgM and IgG, were tested using ELISA. Additionally, 141 serum samples were obtained from vaccinated individuals. Anti-SARS-CoV-2 spike and RBD IgGs, along with neutralizing antibodies (NAs), were assessed using ELISA in both the vaccinated group and 96 COVID-19 patients. Results: Anti-SARS-CoV-2 IgM was found positive in 23.3% of patients at 0 - 7 days after symptom onset, with seropositivity increasing to 71.7% at 15 - 21 days. Subsequently, IgM positivity gradually decreased to 62.7% at > 28 days post-symptom onset. Meanwhile, anti-SARS-CoV-2 IgG was positive in 28.3% of patients at 0 -7 days, rising to 83.7% at 22 - 28 days after symptom onset, and remained constant thereafter. Anti-spike and RBD IgGs, along with NAs, were detected in 89.7%, 87.4%, and 87.9% of vaccinated individuals, respectively, and in 37.5%, 32.3%, and 32.3% of COVID-19 patients, respectively. There was a significant correlation between anti-spike IgG and anti-RBD IgG levels and NAs in both COVID-19-infected and vaccinated individuals. The mean concentrations of anti-spike and RBD IgGs were higher in vaccinated individuals with a history of COVID-19 infection compared to those without prior infection. Conclusions: The antibody profile for IgM and IgG against SARS-CoV-2 suggests that as time passes after the onset of disease symptoms, the seropositivity in COVID-19 patients increases. Furthermore, antibodies against SARS-CoV-2 are produced more efficiently through COVID-19 vaccination than natural infection.","PeriodicalId":505511,"journal":{"name":"Archives of Clinical Infectious Diseases","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139805680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Archives of Clinical Infectious Diseases
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