Article
Chemistry, Analytical
Karla Lara Lopes, Hanna Leijoto de Oliveira, Jessica Aparecida Silva Serpa, Juliana Arriel Torres, Francisco Guilherme Esteves Nogueira, Victor Augusto Araujo de Freitas, Keyller Bastos Borges, Maria Cristina Silva
Summary: Endocrine disruptors (EDs) are exogenous compounds that alter the endocrine system's normal functioning, raising environmental concerns. The use of a magnetic nanosorbent for extraction and detection of pollutants in water samples proved to be efficient and convenient, showing high specific surface area and good recovery rates.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Fatemeh Hajizadeh, Amirhassan Amiri, Behrooz Maleki, Farrokhzad Mohammadi Zonoz
Summary: In this study, silica-coated magnetic nanoparticles functionalized with second-generation polyamidoamine dendrimer were synthesized and used for the magnetic solid-phase extraction of estradiol valerate from biological samples. The nanocomposite demonstrated good performance and exhibited a wide linear dynamic range and a low limit of detection. The estradiol valerate was successfully extracted from human plasma samples.
MICROCHEMICAL JOURNAL
(2022)
Article
Chemistry, Analytical
Raghavendra Rao Pasupuleti, Zih-Fang Wang, Wei-Jyun Ya, Chun-An Kuo, Yu-Ying Chao, Yeou-Lih Huang
Summary: A dispersive liquid-liquid microextraction technique using a low-density hydrophobic deep eutectic solvent was developed for the determination of chlorophenols in water samples. The method showed good linearity, low detection limits, and high precision. The developed technique has advantages such as selectivity, use of less harmful solvent, avoidance of toxic organic solvents, and short extraction time.
MICROCHEMICAL JOURNAL
(2022)
Article
Chemistry, Analytical
Juan Zhang, Chen Yu, Zhipeng Chen, Xiaogang Luo, Haiyan Zhao, Fengshou Wu
Summary: A novel composite adsorbent was prepared and utilized for extraction and detection of trace chlorophenols in water and drinks. The method showed high sensitivity and accuracy, as well as good stability and reproducibility, making it suitable for practical applications.
Article
Chemistry, Analytical
Elifcan Emiroglu, Donay Yuvali, Gokhan Sarp, Erkan Yilmaz, Ibrahim Narin
Summary: In this study, a green production method was used to obtain Fe3O4@C-nanodots, a magnetic carbon nanodot hybrid material for magnetic solid phase extraction of Erythrosine in pharmaceutical samples. The experimental variables affecting the extraction efficiency were studied and optimized, leading to a simple and rapid method for determination of Erythrosine with satisfactory recoveries and detection limits.
MICROCHEMICAL JOURNAL
(2021)
Article
Chemistry, Analytical
Juan Zhang, Zhipeng Chen, Furong Tang, Fengshou Wu, Xiaogang Luo, Genyan Liu
Summary: A highly fluorinated porphyrin-based covalent organic frameworks magnetic adsorbent (FPy-COF@PDA@Fe3O4) was successfully prepared and exhibited good extraction capability for fluoroquinolones (FQs) in milk samples. The developed MSPE-HPLC method showed good linearity, precision, and low limits of detection for six FQs.
Article
Chemistry, Analytical
Raghavendra Rao Pasupuleti, Jing-Ru Hsieh, Visweswara Rao Pasupuleti, Yeou-Lih Huang
Summary: In this study, an eco-friendly, cheap, and sensitive magnetic solid-phase extraction method combined with a deep eutectic solvent was developed for the isolation and detection of parabens in water and urine samples. The method showed excellent sensitivity, with a wide linear range and low limits of detection and quantification. The technique was successfully applied to the analysis of real samples, achieving high recoveries and acceptable precision. This method has promising practical applications in the field of analysis.
MICROCHEMICAL JOURNAL
(2022)
Article
Chemistry, Analytical
Hai-Long Jiang, Fang Xue, Jing Sun, Jin-Ming Lin, Chong Zhang, Xia Wang, Ru-Song Zhao
Summary: A novel magnetic ionic covalent organic framework (Fe3O4@EB-iCOFs) with ionic property, large surface area, and magnetic responsiveness was designed and synthesized for potential magnetic solid-phase extraction (MSPE) of perfluorinated compounds (PFCs). A method based on MSPE-HPLC-MS/MS was established for the determination of PFCs, showing excellent linearity, repeatability, low limits of detection, and satisfactory recoveries.
Article
Chemistry, Analytical
Min Li, Jingtao Yu, Xinmeng Wang, Lin Hao, Lequn Ma, Qianqian Wang, Weihua Liu, Zhi Wang, Chun Wang, Qiuhua Wu
Summary: Three novel N-rich hypercrosslinked porous polymers (NHCP1, NHCP2, and NHCP3) were developed using Friedel-Crafts alkylation. NHCP1 showed the best adsorption performance for chlorophenol pollutants with a remarkably large surface area (2066 m(2) g(-1)). A sensitive and simple method using NHCP1 as a sorbent was developed for the preconcentration and determination of chlorophenols in real samples.
Article
Chemistry, Analytical
Yu Tian, Zhigang Xu, Yuming Yang, Dan Wang, Zhimin Liu, Xiaoxi Si
Summary: A magnetic composite material was developed for detecting polychlorinated biphenyls, showing excellent selectivity and reproducibility. The material demonstrated low detection limits and high recoveries for PCBs, with potential for simple and cost-effective detection in environmental samples.
MICROCHEMICAL JOURNAL
(2022)
Article
Chemistry, Applied
Wei Zhou, Xin Wang, Youping Liu, Weikang Zhang, Xin Di
Summary: A novel type of Cu2+-based immobilized metal affinity magnetic nanoparticles was developed and used for magnetic solid-phase extraction of trace Sudan dyes in foodstuffs. The method showed excellent affinity and fast adsorption capability, and a simple and sensitive determination method for Sudan dyes in food samples was successfully developed.
Article
Chemistry, Analytical
P. Montoro-Leal, J. C. Garcia-Mesa, I Morales-Benitez, A. Garcia de Torres, E. Vereda Alonso
Summary: An automatic MSPE method combining MGO-based magnetic nanomaterial with HPLC-ICP-MS for arsenic speciation was developed, achieving automatic preconcentration and separation/determination of arsenic species with low LODs and high precision. The method was validated by analyzing Certified Reference Materials and recovery analysis of arsenic species in various samples, showing potential for routine monitoring of arsenic species in environmental waters and biological fluids.
Article
Chemistry, Analytical
Milad Ghani, Sepide Khodkavandi, Zahra Jafari, Pouya Ghamari Kargar, Behrooz Maleki, Hadis Fathnia Tabari
Summary: An efficient and cost-effective method for detecting chlorophenols in honey, black tea, and bovine milk samples was developed using Cellulose Nano-Fiber (CNF)-ImSalophen@Fe3O4. The sorbent showed high extraction performance, and the method exhibited good linearity, precision, and applicability in complex real samples.
MICROCHEMICAL JOURNAL
(2023)
Article
Environmental Sciences
Raghavendra Rao Pasupuleti, Pei-Chien Tsai, Vinoth Kumar Ponnusamy
Summary: This study presents a green extraction method using a new cationic polymer-modified carbon nanofibers coated cellulose paper as a solid-phase extraction material for the extraction of parabens from environmental water samples, achieving high extraction efficiencies and excellent linear relationships.
Article
Chemistry, Multidisciplinary
Ozgur Ozalp, Z. Pinar Gumus, Mustafa Soylak
Summary: A simple, effective and selective magnetic solid-phase extraction method was developed for the separation and quantitative determination of atrazine from spices and water samples. The optimized MSPE-LC procedure achieved a high extraction efficiency under pH 7, 0 mg adsorbent amount, 5 minutes total adsorption-desorption time, and a 20 enrichment factor. The recovery values for the magnetic solid-phase extraction method in spices and water samples were between 91% and 94%. The HPLC-DAD method determined the limit of detection (LOD) and limit of quantification (LOQ) for atrazine as 0.5 ng mL(-1) and 1.7 ng mL(-1), respectively.
SEPARATION SCIENCE AND TECHNOLOGY
(2023)
Article
Chemistry, Applied
Yaxing Guo, Juntao Wang, Lin Hao, Weihua Liu, Xiumin Yang, Qiuhua Wu, Zhi Wang
Summary: A new carbazole-based spherical microporous polymer (Car-BDA-POP) was synthesized via a one-step and non-metal catalyst approach, and applied as an adsorbent for solid-phase extraction (SPE) of chlorophenols (CPs). The Car-BDA-POP-based SPE showed good linearity, low limits of detection, and high method recoveries.
Article
Computer Science, Information Systems
Zhibo Wang, Jingxin Li, Jiahui Hu, Ju Ren, Qian Wang, Zhetao Li, Yanjun Li
Summary: This paper designs privacy-preserving incentive mechanisms to protect users' true bid information against untrusted platforms. A differentially private bid obfuscation function is designed to locally obfuscate bids and submit obfuscated bids to the platform. The paper also proposes a task-bid pair protection incentive mechanism using homomorphic encryption to prevent privacy leakage from interested tasks.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Agriculture, Multidisciplinary
Jie Li, Yushi Yang, Zhijun Zhou, Shuofeng Li, Lin Hao, Weihua Liu, Zhi Wang, Qiuhua Wu, Chun Wang
Summary: A novel fluorine-functionalized triazine-based porous organic polymer (F-POP) was developed for the adsorption of aflatoxins. The F-POP demonstrated superior adsorption ability due to multiple interaction mechanisms, including hydrogen bond, F-O interaction, pi-pi interaction, F-pi interaction, and hydrophobic interaction. Furthermore, magnetic F-POP was prepared and used as a magnetic sorbent for the extraction of trace aflatoxins in peanut and rice samples.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2023)
Article
Clinical Neurology
Yan Fu, Yan Sun, Zhi-Bo Wang, Dan-Dan Zhang, Lan Tan, Jian-Feng Feng, Wei Cheng, Jin-Tai Yu
Summary: This study used the American Heart Association's Life's Simple 7 (LS7) metric to define cardiovascular and brain health and found that ideal LS7 cardiovascular health factors are associated with both macrostructural and microstructural markers of brain health. The results suggest that better LS7 profiles are linked to better brain health.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Chemistry, Applied
Sichang Jiang, Zhi Li, Xiumin Yang, Min Li, Chun Wang, Zhi Wang, Qiuhua Wu
Summary: A novel hypercrosslinked polymer (API-HCP) was synthesized and showed high affinity for chlorophenols due to multiple interactions. An efficient solid phase extraction method coupled with high performance liquid chromatography (SPE-HPLC) was established using API-HCP as the adsorbent for sensitive detection of chlorophenols in water and honey samples.
Article
Chemistry, Applied
Jie Li, Bin Zhao, Lin Hao, Weihua Liu, Chun Wang, Zhi Wang, Qiuhua Wu
Summary: A magnetic hyper-crosslinked polymer (MHCP-TPE) was successfully prepared and used as a sorbent to adsorb and isolate aflatoxins from rice and sorghum samples. The method showed fast adsorption kinetics and good adsorption efficiency, making it suitable for the determination of trace levels of aflatoxins in cereal foods.
Article
Chemistry, Applied
Mingming Xu, Zhijun Zhou, Lin Hao, Zhi Li, Jie Li, Qianqian Wang, Weihua Liu, Chun Wang, Zhi Wang, Qiuhua Wu
Summary: Three novel hyper-crosslinked polymers with large specific surface area and excellent chemical stability were fabricated using heterocyclic phenyl-imidazole as monomer. These polymers were used as solid phase extraction adsorbent for sensitive determination of aflatoxins in rice samples. The established method provided wide linear range, low detection limit and satisfactory recovery, and the adsorption mechanism was explored. This work provides a powerful tool for simultaneous determination of aflatoxins in food grains with great application potential in aflatoxin monitoring.
Article
Chemistry, Analytical
Shilun Yin, Donghai Xie, Yibo Fu, Zhibo Wang, Ruofei Zhong
Summary: This study proposes a novel uncontrolled two-step iterative calibration algorithm that eliminates motion distortion and improves the accuracy of lidar-IMU systems. The algorithm corrects the distortion of rotational motion by matching the original inter-frame point cloud and then matches the point cloud with IMU after attitude prediction. The algorithm performs iterative motion distortion correction and rotation matrix calculation to obtain high-precision calibration results, demonstrating high accuracy, robustness, and efficiency compared to existing algorithms.
Article
Chemistry, Analytical
Linna Guo, Bin Zhao, Lijuan Wang, Qianqian Wang, Yangjuan An, Lin Hao, Weihua Liu, Zhi Wang, Qiuhua Wu, Chun Wang
Summary: Four novel hydroxyl-functionalized nanoporous organic frameworks (OH-NOP1, OH-NOP2, OH-NOP3 and OH-NOP4) were designed and fabricated for efficient adsorption of neonicotinoids. Among them, OH-NOP3 exhibited the highest affinity and adsorption performance. An effective method for extraction and preconcentration of neonicotinoids using OH-NOP3 as sorbent was developed.
Article
Food Science & Technology
Yaxing Guo, Juntao Wang, Tongtong Duan, Qiuhua Wu, Xiumin Yang, Chun Wang, Zhi Wang
Summary: A new magnetic triazine functionalized hyper-crosslinking polymer (M-TPS-HCP) was synthesized and used as an adsorbent for magnetic solid-phase extraction of trace benzoyl urea insecticides in food analysis. The main parameters affecting the extraction efficiency were optimized. The established analytical method based on magnetic solid-phase extraction and HPLC detection showed good linearity with high correlation coefficient (r >= 0.9965). The method exhibited good sensitivity and accuracy, with low limits of detection and satisfactory recoveries. The results demonstrated the reliability and effectiveness of the method for detecting benzoyl urea insecticides in real samples. The experimental study on the adsorption mechanism revealed the importance of hydrogen bonding and hydrophobic interactions.
Article
Computer Science, Hardware & Architecture
Zhibo Wang, Yuting Huang, Mengkai Song, Libing Wu, Feng Xue, Kui Ren
Summary: Federated learning is a privacy-preserving learning technique for training a global model collaboratively while preserving local data privacy. However, recent research has shown that federated learning is vulnerable to inference attacks, particularly property inference attacks that can lead to severe privacy leakage. Existing property inference attack approaches do not perform well when the global model has converged or in dynamic federated learning scenarios. In this paper, a novel poisoning-assisted property inference attack (PAPI-attack) is proposed, which leverages the discriminative ability in periodic model updates to infer unintended information. A property-specific poisoning mechanism is presented to distort the decision boundary of the shared global model, inducing benign participants to disclose more sensitive property information. Extensive experiments demonstrate that PAPI-attack outperforms existing property inference attacks against federated learning.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Dan Wang, Ju Ren, Zhibo Wang, Yichuan Wang, Yaoxue Zhang
Summary: Privacy protection and incentive mechanism are two fundamental problems in federated learning. Recent works have proposed differential privacy based privacy-preserving incentive mechanisms, but most of them only consider the privacy level as the incentive item, neglecting other factors such as data quantity and quality. Moreover, an untrusted server can infer sensitive information from bid costs. To solve these problems, this paper proposes a dual-privacy preserving and quality-aware incentive mechanism, PrivAim, for federated learning.
IEEE TRANSACTIONS ON COMPUTERS
(2023)
Article
Computer Science, Artificial Intelligence
Song Han, Hongxin Ding, Shuai Zhao, Siqi Ren, Zhibo Wang, Jianhong Lin, Shuhao Zhou
Summary: Privacy-preserving federated learning is a promising approach for IoT in healthcare, and this article proposes two practical noninteractive federated learning schemes, HE-NFRT and Mask-NFRT, which can protect the privacy of data owners' training data, resist collusion attacks, and support strong verification.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Biotechnology & Applied Microbiology
Zhibo Wang, Yongzhen Li, Xiang Gao, Jiangwa Xing, Rong Wang, Derui Zhu, Guoping Shen
Summary: In this study, UV mutagenesis was used to improve the ability of halophilic microorganisms to produce the compatible solute Ectoine. The mutated strain G(8)-52 showed positive effects on cellular growth, osmotic equilibrium, and exhibited higher Ectoine yields compared to the wild-type strain. These results suggest that continuous UV mutagenesis is a successful strategy for increasing Ectoine production, and the mutant strain G(8)-52 is suitable for large-scale fermentation applications.
INTERNATIONAL MICROBIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Zhibo Wang, Jiayu Guo, Zhengming Hu, Haiqiang Zhang, Junping Zhang, Jian Pu
Summary: Trajectory prediction is crucial for autonomous driving, and our proposed Lane Transformer model achieves high accuracy and efficiency by using attention blocks instead of Graph Convolution Network (GCN) and optimizing it for deployment using TensorRT. Our model outperforms the baseline model in prediction accuracy by a factor of 10x to 25x on the Argoverse dataset and has the fastest inference time among all open source methods.
IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
