Article
Chemistry, Multidisciplinary
Tao Ma, Youxuan Ni, Diantao Li, Zhengtai Zha, Song Jin, Weijia Zhang, Liqun Jia, Qiong Sun, Weiwei Xie, Zhanliang Tao, Jun Chen
Summary: By using a weakly solvating ether electrolyte, a stable cathode electrolyte interphase (CEI) can be formed on the sulfurized polyacrylonitrile (SPAN) electrode, effectively blocking the dissolution of polysulfides into the electrolyte, thus improving the electrochemical performance and cycle life of the battery.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Nanoscience & Nanotechnology
Xianhui Zhang, Peiyuan Gao, Zhaohui Wu, Mark H. Engelhard, Xia Cao, Hao Jia, Yaobin Xu, Haodong Liu, Chongming Wang, Jun Liu, Ji-Guang Zhang, Ping Liu, Wu Xu
Summary: In this study, a pinned EEI layer is designed to stabilize a SPAN cathode by regulating the EEI formation mechanism in an advanced LiFSI/ether/fluorinated-ether electrolyte. This design strategy improves the chemical stability and electrochemical performance of Li||SPAN batteries.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Chemistry, Physical
Jiahao Huang, Yifei Shao, Zhenhua Liu, Yingtong Lv, Feng Guo, Yuzu Tu, Takayuki Ichikawa, Zhaotong Hu, Tengfei Zhang
Summary: In this study, nano-spherical sulfide poly-acrylonitrile (NS-SPAN) with a uniform diameter of around 150 nm was prepared to address the capacity decay issue caused by the volume expansion effects of the sulfur cathode in all-solid-state lithium-sulfur batteries. Li4(BH4)3I solid-state electrolyte effectively inhibits the growth of lithium dendrites and enhances cycling performance. The all-solid-state lithium-sulfur battery assembled with NS-SPAN as the cathode and Li4(BH4)3I solid-state electrolyte maintains stable voltage after 250 hours of cycling at a current density of 0.2 mAcm-2 at 100 degrees C. After 150 cycles at 0.1 C, the lithium-sulfur battery still exhibits a discharge capacity of 878.5 mAh g-1 with a coulombic efficiency of 99%.
JOURNAL OF POWER SOURCES
(2023)
Article
Chemistry, Physical
Shiqiang Luo, Enyou Zhao, Yixuan Gu, Nagahiro Saito, Zhengxi Zhang, Li Yang, Shin-ichi Hirano
Summary: A high-performance solid lithium-sulfur battery was developed using a fiber network reinforced LLZTO-based composite solid electrolyte and a sulfurized polyacrylonitrile cathode, achieving stable Li plating/stripping and improved rate performance. The battery showed excellent cycling stability and capacity retention over 1,000 cycles, demonstrating the potential for practical application in the future.
Article
Engineering, Environmental
Shaobo Ma, Zhiguo Zhang, Yang Wang, Zhenjiang Yu, Can Cui, Mengxue He, Hua Huo, Geping Yin, Pengjian Zuo
Summary: In this study, iodine-doped sulfurized polyacrylonitrile was prepared using a simple co-heating method and showed excellent electrochemical performance in ester electrolyte. Iodine doping effectively promoted electron and Li+ migration, while the generated cathode electrolyte interface layer enhanced reaction kinetics. Additionally, short-chain oligomers and double bonds in the sulfurized polyacrylonitrile were found to contribute to capacity, leading to good cycling stability.
CHEMICAL ENGINEERING JOURNAL
(2021)
Review
Chemistry, Physical
Xuan Zhang, Huiyang Ma, Jiqiong Liu, Jiahang Chen, Huichao Lu, Yudai Huang, Jiulin Wang
Summary: The S@pPAN composite material, which provides a conductive pathway for sulfur active material at the molecular level, has shown promising electrochemical performances in lithium-sulfur batteries. However, the accurate structure of S@pPAN and its redox reaction mechanism during charge-discharge process have not been determined yet. This review summarizes previous research and inferences on the structure and electrochemical reaction mechanism of S@pPAN, providing a reference for future study of lithium-sulfur batteries.
Article
Chemistry, Multidisciplinary
Ke Wang, Teng Zhao, Nanxiang Zhang, Tao Feng, Li Li, Feng Wu, Renjie Chen
Summary: This study presents a salt-templating method for the fabrication of ultrathin SPAN nanosheets, improving its redox kinetics. In situ Raman analysis reveals the reversible breaking and formation of C-S/S-S bonds in SPAN nanosheets during cycling, demonstrating excellent performance at high current densities.
Article
Chemistry, Multidisciplinary
Junru Wu, Yao Tian, Yifu Gao, Ziyao Gao, Yuefeng Meng, Yao Wang, Xia Wang, Dong Zhou, Feiyu Kang, Baohua Li, Guoxiu Wang
Summary: Research has shown that the use of all-fluorinated electrolytes can greatly enhance the reversibility and cyclability of room-temperature sodium-sulfur batteries. This is achieved by the formation of a cathode electrolyte interphase rich in NaF and Na3N, which eliminates the shuttle of polysulfides. Additionally, the all-fluorinated electrolyte stabilizes the Na anode through a tailored solvation structure.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Nanoscience & Nanotechnology
Kunpeng Yu, Guorui Cai, Mingqian Li, Junlin Wu, Varun Gupta, Dong Ju Lee, John Holoubek, Zheng Chen
Summary: This study demonstrates the importance of electrolyte chemistry in high-sulfur loading sulfurized polyacrylonitrile (SPAN) cathodes, showing that a localized-high-concentration electrolyte can enhance the reversible capacity and cycling stability. The research provides guidance for electrolyte design and sulfur optimization in SPAN cathodes.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Physical
Jingyu Lei, Jiahang Chen, Ahmad Naveed, Huiming Zhang, Jun Yang, Yanna Nuli, Jiulin Wang
Summary: By preparing cross-linked PAN precursor with porous structure, it increases the sulfur content and achieves remarkable reversible specific capacity, providing a way to prepare S@pPAN cathodes for lithium-sulfur batteries with high energy density and good electrochemical performances.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Carina Yi Jing Lim, Alex Yong Sheng Eng, Albertus D. Handoko, Raymond Horia, Zhi Wei Seh
Summary: This work demonstrates the use of a ferrocene-derived SCC cathode in NaSBs, showing excellent electrochemical performance in eliminating polysulfide dissolution and maintaining high Coulombic efficiencies, with good cycling stability.
Review
Chemistry, Physical
Xiaohui Zhao, Chonglong Wang, Ziwei Li, Xuechun Hu, Amir Abdul Razzaq, Zhao Deng
Summary: Lithium sulfur (Li-S) batteries have high theoretical specific capacity and energy density, while sulfurized polyacrylonitrile (SPAN) is known for completely eradicating the shuttle of lithium polysulfides and having good compatibility with carbonate-based electrolytes and manufacturing processes. Research on SPAN has focused on its chemical structure, redox reaction, and electrochemical performance over the past few decades.
JOURNAL OF MATERIALS CHEMISTRY A
(2021)
Article
Electrochemistry
Strauss Langrud, Amir Abdul Razzaq, Shriram Santhanagopalan, Ryan Brow, Weibing Xing
Summary: This study investigates the impacts of different synthesis conditions on the formation of sulfur to PAN bonds and redox reaction mechanisms of multi-phase SPAN. It reveals that the synthesis conditions greatly affect the material properties and electrochemical performance of SPAN, with complete sulfurization leading to exceptional stability in Li-S cells.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY
(2022)
Article
Chemistry, Physical
Wenbin Fu, Doyoub Kim, Fujia Wang, Gleb Yushin
Summary: The past 30 years have seen significant advances in lithium-ion batteries, reshaping various aspects of our daily life. However, current Li-ion batteries are unable to meet the growing market demands. To overcome this challenge, it is crucial to understand the fundamentals of battery chemistries and consider both the anode and cathode, as well as their interphases. While previous research has focused on anodes and their solid-electrolyte interphase (SEI), there is a lack of reviews and analysis on the materials and interfacial issues of the cathode side. In this article, we provide a critical overview of the current status and challenges for Li-ion battery cathodes and their solid electrolyte interphase (CEI), discussing their impact on cathode performance characteristics and proposing design guidelines for future Li-ion batteries.
JOURNAL OF POWER SOURCES
(2023)
Article
Engineering, Environmental
Xianjun Weng, Yanyang Qin, Xinyu Da, Yuanjun Zhao, Xuetian Deng, Bo Wen, Manying Cui, Xiangkai Yin, Yaqiong Su, Jiangxuan Song, Shujiang Ding, Xiaofei Hu, Guoxin Gao, Xuefei Li
Summary: A novel bifunctional electrolyte additive, NFSI, was developed to greatly improve the cyclability and safety of lithium metal batteries. NFSI preferentially reacts with the lithium anode to form a stable solid electrolyte interphase (SEI) film, inhibiting electrolyte consumption and lithium dendrite growth. Additionally, NFSI is preferentially oxidized to form a conductive thin film layer. Li||Li cells containing 0.1 M NFSI exhibit excellent cycle stability and Li||Cu cells show high Coulombic efficiency.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Oncology
Jiandong Zhou, Ishan Lakhani, Oscar Chou, Keith Sai Kit Leung, Teddy Tai Loy Lee, Michelle Vangi Wong, Zhen Li, Abraham Ka Chung Wai, Carlin Chang, Ian Chi Kei Wong, Qingpeng Zhang, Gary Tse, Bernard Man Yung Cheung
Summary: Cancer patients with COVID-19 have a significantly higher risk of intubation, ICU admission, and/or mortality due to the immunosuppressant effect of cancer treatments and frequent hospital admissions.
Article
Radiology, Nuclear Medicine & Medical Imaging
Guanjie Yuan, Weinuo Qu, Shichao Li, Ping Liang, Kangwen He, Anqin Li, Jiali Li, Daoyu Hu, Chuou Xu, Zhen Li
Summary: Histogram analysis based on diffusion kurtosis imaging (DKI) is feasible for the noninvasive assessment of renal function and fibrosis in CKD patients.
JAPANESE JOURNAL OF RADIOLOGY
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Zhen Li
AMERICAN JOURNAL OF ROENTGENOLOGY
(2023)
Article
Rheumatology
Shaozhe Cai, Ziwei Hu, Yu Chen, Yuxue Chen, Bingxia Ming, Rongfen Gao, Zhen Li, Cong Ye, Jixin Zhong, Lingli Dong
ANNALS OF THE RHEUMATIC DISEASES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping Liang, Guanjie Yuan, Shichao Li, Yang Peng, Chuou Xu, Thomas Benkert, Daoyu Hu, Min Han, Zhen Li
Summary: This study aimed to investigate the application of multiparametric magnetic resonance imaging (MRI) in assessing renal function, Oxford classification, and prognostic risk of IgA nephropathy (IgAN) patients. The results showed that MRI parameters could differentiate between patients and healthy volunteers, evaluate the correlations among different pathological features, and predict the prognostic risk of patients.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Oncology
Qinyu Li, Yucong Zhang, Man Liu, Heng Li, Wei Guan, Xiaoyan Meng, Zhiquan Hu, Zhihua Wang, Shaogang Wang, Zhen Li, Jihong Liu, Zheng Liu
Summary: This study aims to identify new parameters for predicting outcomes after robot-assisted partial nephrectomy (RPN) by using three-dimensional reconstruction of preoperative enhanced computerized tomography (CT). The study found that a larger tumor bed area (TBA) was associated with longer warm ischemia time (WIT) and tumor resection time as well as elevated postoperative creatinine. TBA and distance from the tumor to the first bifurcation of the renal artery (DTA) were independent risk factors for prolonged WIT, and the combination of TBA, DTA, and RENAL score had a higher predictive effect for WIT compared to the RENAL score alone.
FRONTIERS IN ONCOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Yang Peng, Xianlun Zou, Gen Chen, Xuemei Hu, Yaqi Shen, Daoyu Hu, Zhen Li
Summary: This study investigated the relationship between IDEAL-IQ/amide proton transfer MRI parameters and histopathological factors of rectal cancer. The results showed significant differences in PDFF, R2*, and MTRasym (3.5 ppm) based on different tumor stages, lymph node metastasis, tumor grade, and MRF and EMVI status. The MR parameters were positively correlated with histopathological features of rectal cancer. PDFF exhibited a higher diagnostic ability compared to MTRasym (3.5 ppm) in distinguishing metastatic from non-metastatic lymph nodes.
BIOENGINEERING-BASEL
(2023)
Review
Biotechnology & Applied Microbiology
Luwen Hao, Yuanqiu Li, Ziman Xiong, Yuchen Jiang, Xuemei Hu, Daoyu Hu, Zhen Li, Yaqi Shen
Summary: This study comprehensively illustrates the imaging findings of hepatic LCH and investigates the evolution of LCH-associated lesions. Patients with liver involvement were classified into disseminated lesion phenotype, scattered lesion phenotype, and central periportal lesion phenotype based on the lesion distribution pattern on CT/MRI scans. Different phenotypes have specific clinical features and prognoses. Follow-up MRI scans can better document the evolution of lesions.
BIOENGINEERING-BASEL
(2023)
Article
Biotechnology & Applied Microbiology
Xiaoyan Meng, Shichao Li, Kangwen He, Henglong Hu, Cui Feng, Zhen Li, Yanchun Wang
Summary: This study evaluated the feasibility of texture analysis based on diffusion kurtosis imaging (DKI) for staging and grading bladder cancer (BC), and compared it with apparent diffusion coefficient (ADC) and biparametric vesical imaging reporting and data system (VI-RADS). The results showed that DKI-based texture analysis is useful in evaluating the staging and grading of BC, and the histogram parameters of DKI can provide additional value to VI-RADS.
BIOENGINEERING-BASEL
(2023)
Article
Biotechnology & Applied Microbiology
Qiuhan Huang, Yanchun Wang, Xiaoyan Meng, Jiali Li, Yaqi Shen, Xuemei Hu, Cui Feng, Zhen Li, Ihab Kamel
Summary: This study investigates the feasibility of combining APTw imaging with ZOOMit DKI in predicting lymph node metastasis in cervical cancer. The results suggest that APTw and DKI parameters may serve as potential noninvasive biomarkers for predicting lymph node metastasis in cervical cancer.
BIOENGINEERING-BASEL
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Weinuo Qu, Ziling Zhou, Guanjie Yuan, Shichao Li, Jiali Li, Qian Chu, Qingpeng Zhang, Qingguo Xie, Zhen Li, Ihab R. Kamel
Summary: This study aimed to develop CT-based radiomics models for distinguishing between resectable PDAC and mass-forming pancreatitis (MFP), and the PCACli model showed comparable performance with EUS-FNA in discriminating between the two conditions.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Computer Science, Information Systems
Ping Liang, Jiannan Yang, Weilan Wang, Guanjie Yuan, Min Han, Qingpeng Zhang, Zhen Li
Summary: Early diagnosis and prediction of CKD progress are crucial for personalized treatment and improving patients' quality of life. This study explores the intelligibility of machine learning and deep learning models for ESRD prediction in CKD patients. The deep learning model achieves high accuracy and provides intelligible insights into CKD progression. This study provides solid data-driven evidence for using machine learning in CKD clinical management and treatment.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Cybernetics
Zhongzhi Xu, Weibin Cheng, Zhen Li, Gary Tse, Fengshi Jing, Wanmin Lian, Junzhang Tian, Qingpeng Zhang
Summary: This study aimed to develop a scoring system for mass screening of low bone density in women aged 50 years or older using basic body check-up items as variables. Age, BMI, SBP, glucose, and TCL were significantly associated with the risk of LBD, and the proposed scoring system had precision, recall, c-statistic, and F1-score of 0.66, 0.83, 0.73, and 0.74 respectively. Artificial neural networks showed better performance in all measurements.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Biotechnology & Applied Microbiology
Yuanqiu Li, Ziman Xiong, Yuchen Jiang, Yaqi Shen, Xuemei Hu, Daoyu Hu, Zhen Li
Summary: This study evaluated the use of computed tomography enterography (CTE) in distinguishing between intestinal Behcet's disease (BD) and Crohn's disease (CD). The comprehensive model based on CTE features showed higher sensitivity and specificity in diagnosis compared to the traditional model. CTE can accurately show intestinal involvement and provide body composition data, making it a useful diagnostic tool for BD and CD.
BIOENGINEERING-BASEL
(2023)
Article
Imaging Science & Photographic Technology
Sikang Gao, Jun Yang, Dong Chen, Xiangde Min, Chanyuan Fan, Peipei Zhang, Qiuxia Wang, Zhen Li, Wei Cai
Summary: This study evaluated the diagnostic performance of parameters derived from diffusion tensor imaging (DTI) in predicting the sperm retrieval rate (SRR) of patients with nonobstructive azoospermia (NOA). The results showed that the mean diffusivity value could serve as a useful noninvasive imaging marker for predicting SRR in NOA patients undergoing microdissection testicular sperm extraction (mTESE).
JOURNAL OF IMAGING
(2023)
