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Base-Induced Highly Regioselective Synthesis of N²-Substituted 1,2,3-Triazoles under Mild Conditions in Air

ORGANIC LETTERS 2022年第1期24卷 132-136页

作者： Ji, Jian Guan, Cong Wei, Qinghua Chen, xuwen zhao, Yun Liu, Shunying East China Normal Univ Shanghai Engn Res Ctr Mol Therapeut & New Drug De Sch Chem & Mol Engn Shanghai 200062 Peoples R China

We developed a highly regioselective base-induced synthesis of N-2-substituted 1,2,3-triazoles from N-sulfonyl-1,2,3-triazoles and alkyl bromides/alkyl iodides at room temperature. We propose an S(N)2-like mechanistic pathway to explain the high N-2-regioselectivity. The protocol features a broad substrate scope and generates products in good to excellent yields (72-90%).

关键词： Triazole Anions Solvents Alkyls Selectivity

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Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)

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PLANT PHENOMICS 2025年第1期7卷

作者： Fan, Liqiang Yang, Jiajie Wang, xuwen Liu, zhao Xu, Bowei Liu, Li Gao, Chenxu Ai, Xiantao Li, Fuguang Gao, Lei Yu, Yu Yang, Zuoren Chinese Acad Agr Sci Inst Cotton Res State Key Lab Cotton Biobreeding & Integrated Util Anyang 455000 Henan Peoples R China CAAS Inst Western Agr Xinjiang Key Lab Crop Gene Editing & Germplasm Inn Changji 831100 Xinjiang Peoples R China Xinjiang Acad Agr & Reclamat Sci Cotton Res Inst Northwest Inland Reg Key Lab Cotton Biol & Genet B Minist Agr Urumqi Peoples R China Zhengzhou Univ Sch Agr Sci State Key Lab Cotton Biobreeding & Integrated Util Zhengzhou Res Base Zhengzhou 450001 Henan Peoples R China Xinjiang Univ Res Inst Coll Smart Agr Urumqi 830046 Xinjiang Peoples R China Xinjiang Agr Univ Coll Agr Engn Res Ctr Cotton Minist Educ 311 Nongda East Rd Urumqi 830052 Peoples R China

Plant height (PH) is a key agronomic trait influencing plant architecture. Suitable PH values for cotton are important for lodging resistance, high planting density, and mechanized harvesting, making it crucial to elucidate the mechanisms of the genetic regulation of PH. However, traditional field PH phenotyping largely relies on manual measurements, limiting its large-scale application. In this study, a high-throughput phenotyping platform based on UAV-mounted RGB and light detection and ranging (LiDAR) was developed to efficiently and accurately obtain time series PHs of 419 cotton accessions in the field. Different strategies were used to extract PH values from two sets of sensor data, and the extracted values were used to train using linear regression and machine learning methods to obtain PH predictions. These predictions were consistent with manual measurements of the PH for the LiDAR (R2 1/4 0.934) and RGB (R2 1/4 0.914) data. The predicted PH values were used for GWAS analysis, and 34 PH-related genes, two of which have been demonstrated to regulate PH in cotton, namely, GhPH1 and GhUBP15, were identified. We further identified significant differences in the expression of a new gene named GhPH_UAV1 in the stems of the G. hirsutum cultivar ZM24 harvested on the 15th, 35th, and 70th days after sowing compared with those from a dwarf mutant (pag1), which presented shortened stem and internode phenotypes. The overexpression of GhPH_UAV1 significantly promoted cotton stem development, whereas its knockout by CRISPR-Cas9 dramatically inhibited stem growth, suggesting that GhPH_UAV1 plays a positive regulatory role in cotton PH. This field-scale high-throughput phenotype monitoring platform significantly improves the ability to obtain high-quality phenotypic data from large populations, which helps overcome the imbalance between massive genotypic data and the shortage of field phenotypic data and facilitates the integration of genotype and phenotype research for cr

关键词： Plant height UAV RGB LiDAR Genome-wide association study

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Redescription of a rarely encountered species Travisa chinensis Grube, 1869 (Annelida, Travisiidae), including a description of a new species of Travisa from Amoy, China

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ZOOKEYS 2022年第1128期1128卷 1-17页

作者： Yang, Deyuan Wu, xuwen Wang, Zhi zhao, Xiaoyu Hwang, Jiangshiou Cai, Lizhe Natl Taiwan Ocean Univ Inst Marine Biol Keelung 20224 Taiwan Xiamen Univ Coll Environm & Ecol Xiamen 361102 Fujian Peoples R China Chinese Acad Sci Inst Oceanol Qingdao 266071 Peoples R China Xiamen Univ Coll Ocean & Earth Sci State Key Lab Marine Environm Sci Xiamen 361102 Peoples R China Natl Taiwan Ocean Univ Ctr Excellence Ocean Engn Keelung 20224 Taiwan Natl Taiwan Ocean Univ Ctr Excellence Oceans Keelung 20224 Taiwan

The original description of Travisia chinensis Grube, 1869 was incomplete, leading to confusion with other species. To clarify the status of this species, we provide a redescription of, and remarks on, T. chinensis based on an examination of the type specimen. We also describe Travisia amoyanus sp. nov., collected from Xiamen (Amoy), China, and originally identified as T. chinensis by Monro (1934). The new species can be distinguished from its congeners by a combination of the following characters: the total number of segments (34 or 35) and chaetigers (33 or 34), parapodial lappets first from chaetiger 15, and a pygidium with a large ventral triangular cirrus and about six encircling lateral cirri. Genetic distances and phylogenetic analyses based on the mitochondrial (16S rRNA) and nuclear (18S rRNA) genes support the identity of the new species.

关键词： Morphology phylogeny Polychaeta stinkworms taxonomy

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PtCo with oxidase-like activity and laccase for synergistic catalytic degradation of phthalic acid esters

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JOURNAL OF CLEANER PRODUCTION 2024年 470卷

作者： zhao, Xuqiang Tang, Lei Chen, xuwen Wang, Jian Gao, Yanzheng Nanjing Agr Univ Coll Resources & Environm Sci Inst Organ Contaminant Control & Soil Remediat Nanjing 210095 Jiangsu Peoples R China

Phthalic acid esters (PAEs) as common plasticizers, providing convenience to humans. However, they also present a potential threat to ecosystems and human health as emerging contaminants. In this study, co- immobilization of nanozyme (PtCo) and laccase (Lac) into dendritic mesoporous silica (DMSN) constitutes nanomaterials (Lac@PtCo@DMSN). PtCo with an atomic ratio of 3:1 has the highest oxidizing activity. DMSN exhibited a maximum Lac loading capacity of 365 mg/g and activity of Lac@PtCo@DMSN exhibits excellent pH, temperature, and storage stability and reusability, and demonstrated greater recoverability. Remarkably, Lac@PtCo@DMSN (50 mg) achieved 81.83% degradation of total PAEs within 72 h and maintained 72.44% degradation of dimethyl phthalate (DMP) in the fifth cycle. Electron transfer between Pt, Co and adsorbed oxygen (O-2ads) in PtCo can generate center dot OH and center dot O-2(-), which were the dominant reactants for PAEs degradation. center dot OH could degrade PAEs to phthalic acid via H-abstration and center dot OH addition. center dot OH effectively enhanced Lac activity, and promoted the synergistic catalytic performance of nanozymes and natural enzymes. The degradation of phthalic acid by Lac accelerated the release of PtCo@DMSN reaction sites, resulting in significantly enhanced PAEs degradation. Thus, artificial/natural enzymes can degrade PAEs without exogenous additives to solve the limitation of Lac application, providing a new strategy for degrading contaminants in water.

关键词： Phthalic acid esters Nanozyme Laccase (Lac) Reactive oxygen species (ROS) Dendritic mesoporous silica

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Steroidal saponins from Allium chinense and their inhibitory effects on pancreatic lipase

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PHYTOCHEMISTRY LETTERS 2023年第1期55卷 22-29页

作者： Xie, Huili Shi, Xiaolei Wang, Bingzi zhao, Dexin Sun, Zhiheng Chen, Yifu Feng, Yuezhu Jin, Yongri Li, xuwen Jilin Univ Coll Chem Changchun 130012 Peoples R China Jilin Univ Coll Food Sci & Engn Changchun 130062 Peoples R China

Allium chinense *** is an important medicinal and edible homologous plant and indigenous to China and grown in other countries. Phytochemical studies have shown that it is rich in biologically active natural products. Herein, five new and twelve known steroidal saponins were isolated from the bulbs of Allium chinense ***. These compounds were structurally determined by analysis of their NMR, IR and HR-ESI-MS data. All isolates were evaluated for inhibition of porcine pancreatic lipase activity. Compounds 4, 7 and 10 exhibited potent inhibition of porcine pancreatic lipase. The relationship between structure and activity of these compounds is also investigated in this paper.

关键词： Allium chinense Steroidal saponins Extraction and isolation Structure identification Lipase inhibitory activity

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Harnessing conversion bridge strategy by organic semiconductor in polymer matrix memristors for high-performance multi-modal neuromorphic signal processing

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INFOMAT 2025年第5期7卷

作者： Dong, Weijia Ji, Xuan An, Chuanbin Xu, Chenhui Zhang, xuwen zhao, Bin Liu, Yuqian Wang, Shiyu Yu, Xi Liu, Xinjun Han, Yang Geng, Yanhou Tianjin Univ Sch Mat Sci & Engn Tianjin Key Lab Mol Optoelect Sci Minist EducCollaborat Innovat Ctr Chem Sci & Engn Tianjin 300350 Peoples R China Tianjin Univ Collaborat Innovat Ctr Chem Sci & Engn Tianjin Key Lab Organ Integrated Circuits Minist Educ Tianjin Peoples R China Tianjin Univ Sch Sci Dept Chem Key Lab Organ Integrated CircuitMinist Educ Tianjin 300072 Peoples R China Tianjin Univ Sch Sci Dept Chem Tianjin Key Lab Mol Optoelect Sci Tianjin 300072 Peoples R China Tianjin Univ Joint Sch Natl Univ Singapore & Tianjin Univ Int Campus Fuzhou Peoples R China Trina Solar State Key Lab Photovolta Sci & Technol Changzhou Peoples R China Tianjin Univ Fac Sci Tianjin Key Lab Low Dimens Mat Phys & Preparat Tec Tianjin 300354 Peoples R China

Organic memristors, integrating chemically designed resistive switching and mechanical flexibility, present promising hardware opportunities for neuromorphic computing, particularly in the development of next-generation wearable artificial intelligence devices. However, challenges persist in achieving high yield, controllable switching, and multi-modal information processing. In this study, we introduce an efficient distribution of conversion bridges (EDCB) strategy by dispersing organic semiconductor (poly[2,5-bis(3-tetradecylthiophen-2-yl)thieno[3,2-b]thiophene], PBTTT) in elastomer (polystyrene-block-poly(ethylene-ran-butylene)-block-polystyrene, SEBS). This innovative approach results in memristors with exceptional yield, high stretchability, and reliable switching performance. By fine-tuning the semiconductor content, we shift the primary charge carriers from ions to electrons, realizing modulable non-volatile, and volatile duo-mode memristors. This advancement enables multi-modal signal processing at distinct operational mechanisms-non-volatile mode for image recognition in convolutional neural networks (CNNs) and volatile mode for dynamic classification and prediction in reservoir computing (RC). A fully analog RC hardware system is further demonstrated by integrating the distinct volatile and non-volatile modes of the EDCB-based memristor into the dynamic neuron network and the linear regression layer of the RC respectively, achieving high accuracy in online arrhythmia detection tasks. Our work paves the way for high-yield organic memristors with mechanical flexibility, advancing efficient multi-mode neuromorphic computing within a unified memristor system integrating volatile and non-volatile ***

关键词： convolutional neural network neuromorphic computing organic memristors reservoir computing stretchable electronics

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Surface interaction mechanisms of air bubbles, asphaltenes and oil drops in aqueous solutions with implications for interfacial engineering processes

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JOURNAL OF COLLOID AND INTERFACE SCIENCE 2023年第1期647卷 264-276页

作者： Yang, Diling zhao, Ziqian Gong, Lu Sun, Yongxiang Peng, xuwen Peng, Qiongyao Wang, Tao Liu, Qi Zhang, Hao Zeng, Hongbo Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 1H9 Canada

Hypothesis: Surface interactions of bubbles and oil with interface-active species like asphaltenes influence many interfacial phenomena in various engineering processes. It holds both fundamental and practical significance to quantitatively characterize these ***: The surface forces of air bubbles, asphaltenes and asphaltenes-toluene droplets in various aqueous solutions have been quantified using an integrated thin film drainage apparatus and an atomic force microscope coupled with bubble probe. The effects of asphaltenes concentration, pH, salinity, Ca2+ ions and surfactants have been ***: Hydrophobic interaction drives attachment of bubbles and asphaltenes surfaces or oil droplets under high salinity condition. Increasing asphaltenes concentration in oil droplets enhances their hydrophobic attraction with bubbles due to strengthened asphaltenes adsorption and aggregation at oil-water interface. Increasing pH weakens the hydrophobic interaction as oil surfaces become more negatively charged and less hydrophobic. Under low salinity condition, strong electrical double layer and van der Waals repulsion inhibits the bubble-oil droplet contact. Introducing Ca2+ ions and surfactants leads to strong steric repulsion, preventing bubble-oil contact. This research has advanced our mechanistic understanding of how bubbles and oil droplets interact in aqueous systems and offers useful insights to modulate such interactions in oil production, water treatment and other interfacial processes.

关键词： Surface interactions Bubbles Oil droplets Flotation Interfacial Forces Emulsion

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Dynamic design method of digital twin process model driven by knowledge-evolution machining features

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2022年第7期60卷 2312-2330页

作者： Liu, Jinfeng zhao, Peng Jing, xuwen Cao, Xuwu Sheng, Sushan Zhou, Honggen Liu, Xiaojun Feng, Feng Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang 212003 Jiangsu Peoples R China Southeast Univ Sch Mech Engn Nanjing Peoples R China Shaanxi Diesel Engine Heavy Ind Co Ltd Xingping Peoples R China

Machining plan is the core of guiding manufacturing production and is regarded as one of the keys to ensure the quality of product processing. Existing process design methods are inefficient to quickly handle the machining plan changed induced by the unpredictable events in real-time production. It inevitably causes time and economic losses for the enterprise. In order to express the evolutionary characteristics of product processing, the construction method of digital twin process model (DTPM) is proposed based on the knowledge-evolution machining features. Three key technologies include correlation structure of process knowledge, expression method of the evolution geometric features and the association mechanism between two are solved. On this basis, the construction framework of DTPM is illustrated. Then, the organisation and management mechanism of multi-source heterogeneous data is discussed in detail. At last, a case study of the complex machined part is researched, the results show that the processing time reduced by about 7% and the processing stability improved by 40%. Meanwhile, the implementation scheme, application process and effect of this case are described in detail to provide reference for enterprises.

关键词： Digital twin process knowledge machining features dynamic evolution

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A synergistic water-saving strategy combining stage-specific irrigation and application of exogenous thiamine enhances drought resistance of Xinjiang cotton

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PLANT AND SOIL 2025年 1-14页

作者： zhao, Fuxiang Xia, Linjie Sun, Simin Li, Hang Rong, Yuxuan Wang, Yuxin Wang, xuwen Kong, Xianhui Zhu, Longfu Zhang, Xianlong Yu, Yu Yang, Xiyan Xinjiang Acad Agr & Reclamat Sci Cotton Inst Shihezi 832000 Xinjiang Peoples R China Huazhong Agr Univ Natl Key Lab Crop Genet Improvement Wuhan 430070 Hubei Peoples R China Hubei Hongshan Lab Wuhan Peoples R China

Background and aimsXinjiang is the largest cotton planting area in China. However, the perennial water shortage in Xinjiang restricts the development of the cotton industry, making drought one of the important limiting factors. The aim of this study was to evaluate the effectiveness of water-saving scheme and thiamine (Thi) application on alleviating the adverse effects of drought stress on the growth and development of *** this study, five Xinjiang-released cotton varieties (Jinken1775, Jinken1565, Huamian702, Zhongmian979, and Jinfeng2) were selected as the research object, and Xinluzao8 served as the drought-sensitive control. Comprehensive drought resistance index (D) of the drought resistance coefficient (DRC) of four yield and four quality traits were used to evaluate the drought resistant ability of the six cotton varieties under different water conditions and Thi spraying *** stage-specific irrigation strategy (60% during vegetative vs. 90% during the flowering and boll stage) concurrently maintained higher drought resistance across cultivars, with Jinken1565 exhibited the highest drought resistance. This scheme reduced irrigation by 26% while sustaining fiber quality. Exogenous 50 mM Thi further enhanced drought tolerance, reducing transpiration rate by 33% and blade damage by 55%. These results demonstrate that stage-specific water management optimizes drought adaptation in cotton cultivation under drought *** study suggests that a 26% water-saving scheme was proposed for most drought-resistant varieties planted in Xinjiang, and an appropriate scheme to achieve stable yield by Thi application during the early drought condition was proposed for varieties with low drought resistant ability.

关键词： Cotton Drought resistance Comprehensive drought resistance index Thiamine Water saving scheme

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Finite element analysis of corn kernel damage: a viscoelastic model approach for impact-induced damage prediction

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JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2025年第7期105卷 3993-4004页

作者： zhao, Xuelin Zhang, Qiang Fang, xuwen Zhang, Jinsong Feng, Weijing Zhang, Li Zhou, Deyi Yu, Chunsheng Wang, Hao Gao, Xiaodi Zhou, Haigen Wu, Xinling Jilin Univ Coll Biol & Agr Engn Changchun 130022 Peoples R China

BACKGROUNDIn the present study, we address the quality degradation of corn during post-harvest processing by developing a viscoelastic composite model to predict kernel damage during post-harvest processing. The model, based on high-resolution scanning and inverse modeling techniques, provides an accurate representation of the complex internal components of corn kernels, which allows for the analysis of their stress response and damage susceptibility trends under different impact *** results show that the viscoelastic model has a relative error of 2.4% compared to the drop test data, thus demonstrating that the viscoelastic model has a very high accuracy in predicting impact damage and is able to accurately localize the flour-like endosperm as the main region of impact damage. The model showed a high correlation (0.99) between predicted and experimental damage rates by response surface *** damage during processing is reduced by reducing the proportion of flour-like endosperm in maize kernels. A new method for reducing damage during food handling and processing operations is proposed, providing an important reference for improving kernel durability and contributing to the development of gentler processing techniques to improve the quality of maize products. (c) 2025 Society of Chemical Industry.

关键词： viscoelastic composite model collision damage finite element method burgers model high moisture corn kernel

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