Accès ouvert
2026
article
OpenAlex
Yichao Gong, Lu Liu, Yajing Guo, Pengyan Liu
Photoaging alters polymer surface chemistry and can thereby regulate the interfacial binding of metal ions by microplastics. In this study, polyethylene (PE) and polyvinyl chloride (PVC) microplastics were exposed for three weeks to five regimes comprising UV-air, UV-ultrapure water, UV-simulated seawater, UV/H2O2, …
cn
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Accès ouvert
2026
article
OpenAlex
Jinyang Zhuang, Tingting Han, Enwei Zhu, Pengyan Liu et autres
Atomically Precise Gold Nanoclusters (AP-AuNCs) have emerged as cutting-edge nanomaterials in the electrochemiluminescence (ECL) realm due to their atomically precise structures, quantum confinement effect, and superior biocompatibility. This review systematically summarizes the recent advancements of AP-AuNCs in ECL. First, the fundamental ECL …
2026
article
OpenAlex
Pengyan Liu, Xinyi Zhao, Xiujuan Lan, Xiyue Gao et autres
A study on Portulaca oleracea L. resulted in the identification of a previously undescribed amide derivative, oleracrylimide G (1), along with eight known metabolites. The full structural assignments were achieved using comprehensive spectroscopic data. Assays demonstrated that oleracrylimide G (1) exerts significant …
cn
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2026
article
OpenAlex
Pengyan Liu, Jing Liu, Yingdai Zhao, Xixiang Ying et autres
A alkaloid identified as 8-(2-hydroxyethyl)-3,8-diazabicyclo[4.2.0]octa-1,4,6-triene-2-carbaldehyde named Oleradiazahyde was isolated. Its skeleton was assigned by UV, IR, NMR, as well as UHPLC-ESI-Q-TOF/MS. Simultaneously, LPS-activated RAW 264.7 tests revealed that 15 μM compound suppressed NO/IL-6, and 5 μM restrained IL-1β secretion. At 15 μM, …
cn
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2026
article
OpenAlex
Xiyue Gao, Shengnan Guo, Pengyan Liu, Jing Liu et autres
Two new ester glycosides named oleracrylate A (1), and oleracrylate B (2) were isolated from Portulaca oleracea L. The structures of the two compounds were verified by 1D, 2D NMR and UHPLC-ESI-QTOF/MS methods. Furthermore, the anti-inflammatory activities of the two ester glycosides …
cn
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2026
article
OpenAlex
Haipeng Zhu, Quanlong Wang, Z W Wu, Fei Lian et autres
Antibiotic cocontamination poses a severe but poorly understood threat to crop photosynthesis. This study employed an integrated multiscale framework to uncover the phytotoxicity of tetracycline (TC) and ciprofloxacin (CIP) on rice seedlings and evaluate the mitigation potential of nanobiochar (nBC). Coexposure to …
cn, Égypte
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2026
article
OpenAlex
Zhiwei Zhang, Xiujuan Lan, Mingbo Zhang, Pengyan Liu et autres
This investigation sought to investigate the alkaloid constituents of Portulaca oleracea L. and evaluate their anti-inflammatory potential. Phytochemical investigation of P. oleracea led to the discovery of two hitherto unreported alkaloids, Oleracrylimide I (1) and Oleracrylimide J (2). Their structures were elucidated …
cn
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Accès ouvert
2026
article
OpenAlex
Haotian Yang, Jun Dai, Pujie Jing, Pengyan Liu et autres
Secure and efficient cross-regional scheduling is essential for realizing agricultural machinery sharing. Although some scheduling systems have been proposed, two crucial issues need to be addressed: 1) Centralized management . Most existing systems rely on a third party for scheduling calculations and …
cn, gb
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2026
article
OpenAlex
Pengyan Liu, Jiayin Tian, Yingdai Zhao, Jing Liu et autres
cn
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2025
article
OpenAlex
Yulong Wang, Ruifeng Luo, Huijuan Yang, Pengyan Liu et autres
cn, us
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Accès ouvert
2025
article
OpenAlex
Y H Zhang, Haoran Zhang, Tingting Tao, Jian Chen et autres
The growing demand for cereal production has led to increasing agrochemical inputs; therefore, evaluation and adjustment of current practices are required to maintain and improve sustainable cropping systems. A Four-years study of multiple practices with reduced agrochemical application for rice farming was …
cn, gb
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Accès ouvert
2025
article
OpenAlex
Pengyan Liu, Xin Wang
In the logistics terminal operation scenario, accurate prediction of short distance transportation cargo volume is crucial for scientific vehicle scheduling, which is the key to improving logistics efficiency and reducing operating costs. This study utilizes data-driven predictive modeling and multi-objective programming scheduling …
cn
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