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Antioxidant and anti-aging effect of queen bee larvae (Apis mellifera) protein hydrolysates in Drosophila melanogaster

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International journal of biological macromolecules 2025年 144306页

作者： Lili Pang Danyang Wang Hongshan Liu Mo Zhang Xinbiao Yang Qun Lu Rui Liu College of Food Science and Technology Huazhong Agricultural University Wuhan 430070 China. College of Life Science and Technology Huazhong Agricultural University Wuhan 430070 China. College of Food Science and Technology Huazhong Agricultural University Wuhan 430070 China Wuhan Engineering Research Center of Bee Products on Quality and Safety Control Wuhan 430070 China Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University) Ministry of Education Wuhan 430070 China. Electronic address: luqun@***. Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University) Ministry of Education Wuhan 430070 China Laboratory of Urban Agriculture in Central China Ministry of Agriculture and Rural Affairs Wuhan 430070 China. Electronic address: liurui@***.

With increasing concern on the problem of aging, search for food-derived anti-aging compounds has become a hot research area. This study investigated the anti-aging potential and underlying mechanisms of queen bee larvae enzymatic hydrolysates (QBLE) in Drosophila through measurement of the natural lifespan and the mRNA level of related signaling pathways and widely targeted metabolomics analysis based on UPLC-MS/MS. The results showed that QBLE could prolong the mean, median, and maximum lifespan of Drosophila. Particularly, supplementation of QBLE at 5 mg/mL increased the median and mean lifespan by 12.74 % and 15.04 %, respectively, indicating that QBLE is effective in prolonging lifespan of Drosophila. Moreover, QBLE supplementation significantly improved the climbing ability and gut integrity, as well as effectively reduced MDA accumulation and increased the levels of CAT, GSH, T-SOD, and T-AOC in aged Drosophila. The effect of QBLE to extend the lifespan was jointly influenced by the intrinsic stress protection system (Nrf2/Keap1), TOR pathway (TOR/S6K, PI3K/Akt/TOR), autophagy-related genes (Atg8a, Atg5), and longevity genes (MTH). Furthermore, differential metabolite analysis revealed that QBLE mitigates Drosophila aging by regulating arginine biosynthesis, glycerophosphlipid metabolism, pyrimidine metabolism, purine metabolism, and cysteine, glycine, and methionine metabolism. Overall, these findings suggest that QBLE has great potential to be applied in the health food and biomedicine fields as a novel protein-derived anti-aging agent.

关键词： Anti-aging Drosophila melanogaster Metabolomics Oxidative stress Queen bee larvae hydrolysates Signaling pathway

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Packed bed column investigation on As(V) adsorption using magnetic iron oxide/bagasse biomass carbon composite adsorbent 2

Packed bed column investigation on As(V) adsorption using ma...

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2nd International Symposium on Application of Materials science and Energy Materials, SAMSE 2018

作者： Xu, Shuiping Liang, Meina Zhang, Lihao Tang, Shen Zhu, Zongqiang Zhu, Lin College of Environmental Science and Engineering Guilin University of Technology Guilin541004 China Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology Guilin541004 China Guangxi Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area Guilin University of Technology Guilin541004 China

In this study, the magnetic iron oxide/bagasse biomass carbon composite adsorbent(M-Fe3O4-BC) was achieved by the microwave precipitation one-step carbonization heating chemical modification method with bagasse as the main raw material. The effects of initial As(V) concentration, solution pH, solution flow rate and bed height on the breakthrough curve of M-Fe3O4-BC adsorption As(V) were studied. The results shown that the penetration time was shortened with growing initial As(V) concentration, solution pH and solution flow rate, and it lengthened with growing bed height. The exhaustion time was prolonged with increasing initial As(V) concentration and height of bed, and the influence of solution pH on the exhaustion time was not significant. When the solution flow rate is lower than 1.5 ml/min, the exhaustion point was not reached within 2000 min, and the exhaustion time was 720 min when the solution flow rate was 2.0 ml/min. The regenerated adsorbent still maintained a high adsorption capacity for As(V). © Published under licence by IOP Publishing Ltd.

关键词： Adsorption

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Hotspots lurking underwater: Insights into the contamination characteristics, environmental fates and impacts on biogeochemical cycling of microplastics in freshwater sediments

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Journal of hazardous materials 2024年 476卷 135132页

作者： Haojie Chen Danlian Huang Wei Zhou Rui Deng Lingshi Yin Ruihao Xiao Sai Li Fei Li Yang Lei College of Environmental Science and Engineering Hunan University Changsha 410082 PR China Key Laboratory of Environmental Biology and Pollution Control Hunan University Ministry of Education Changsha 410082 PR China. Key Laboratory of Environmental Biology and Pollution Control Hunan University Ministry of Education Changsha 410082 PR China Greater Bay Area Institute for Innovation Hunan University Guangzhou 511300 Guangdong PR China. Electronic address: huangdanlian@***. School of Resources and Environmental Engineering Hefei University of Technology Hefei Anhui 230009 PR China. College of Water Resources & Civil Engineering Hunan Agricultural University Changsha 410128 PR China.

The widespread presence of microplastics (MPs) in aquatic environments has become a significant concern, with freshwater sediments acting as terminal sinks, rapidly picking up these emerging anthropogenic particles. However, the accumulation, transport, degradation and biochemical impacts of MPs in freshwater sediments remain unresolved issues compared to other environmental compartments. Therefore, this paper systematically revealed the spatial distribution and characterization information of MPs in freshwater (rivers, lakes, and estuaries) sediments, in which small-size (<1 mm), fibers, transparent, polyethylene (PE), and polypropylene (PP) predominate, and the average abundance of MPs in river sediments displayed significant heterogeneity compared to other matrices. Next, the transport kinetics and drivers of MPs in sediments are summarized, MPs transport is controlled by the particle diversity and surrounding environmental variability, leading to different migration behaviors and transport efficiencies. Also emphasized the spatio-temporal evolution of MPs degradation processes and biodegradation mechanisms in sediments, different microorganisms can depolymerize high molecular weight polymers into low molecular weight biodegradation by-products via secreting hydrolytic enzymes or redox enzymes. Finally, discussed the ecological impacts of MPs on microbial-nutrient coupling in sediments, MPs can interfere with the ecological balance of microbially mediated nutrient cycling by altering community networks and structures, enzyme activities, and nutrient-related functional gene expressions. This work aims to elucidate the plasticity characteristics, fate processes, and potential ecological impact mechanisms of MPs in freshwater sediments, facilitating a better understanding of environmental risks of MPs in freshwater sediments.

关键词： Degradation Elemental cycles Freshwater sediments Plastics Transport

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Preparation and mechanical properties of modified nanocellulose/PLA composites from cassava residue 21

Preparation and mechanical properties of modified nanocellul...

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21st IAPRI World Conference on Packaging 2018 - Packaging: Driving a Sustainable Future

作者： Huang, Lijie Zhang, Xiaoxiao Xu, Mingzi Jie, Chen Shi, Yinghan Huang, Chongxing Wang, Shuangfei An, Shuxiang Li, Chunyin Guangxi Key Laboratory of Clean Pulp and Papermaking and Pollution Control College of Light Industry and Food Engineering Guangxi University Nanning530004 China Key Laboratory of Pulp and Paper Science and Technology of Ministry of Education/Shandong Province Qilu University of Technology Jinan250353 China

ISBN: (纸本)9781510879751

Nanocellulosc was prepared by a mechanochemical method using cassava residue as a raw material and phosphoric acid as the auxiliary agent. The prepared nanocellulose was hydrophobically modified with stearic acid to improve its dispersibility. This modified nanocellulose was added to polylactic acid (PLA) film-forming liquids at concentrations of 0%, 0.5%, 1.0%, 1.5% and 2.0%, and the effect of modified nanocellulose on the mechanical properties of polylactic acid (PLA) films were investigated. When at least 0.5% modified nanocellulose is added, more active groups of modified nanocellulose are adsorbed onto the PLA molecular chain. Although the tensile strength of the film is only improved by 13.59%, the flexibility of the film decreases, and the elastic modulus decreases by 28.91%. When 1% modified nanocellulose is added, the modified nanocellulose and PLA are tangled together through molecular chains and they co-crystallize to form a stable network structure. The tensile strength of the nanocomposite films is enhanced by 40.03%, the elastic modulus is enhanced by 55.65%, and the flexibility of the film decreases. © 21st IAPRI World Conference on Packaging 2018 - Packaging: Driving a Sustainable *** rights reserved.

关键词： Tensile strength

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Synthesis of new surfactants from lauramidopropyl betaine and surface activity evaluation

Synthesis of new surfactants from lauramidopropyl betaine an...

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International Conference on Materials science and industrial Applications, MSIA 2019

作者： Liu, Qiaona Yang, Anguo Peng, Seng Zhang, Rongjun Li, Jinling Chen, Gang College of Chemistry and Chemical Engineering Shaanxi Province Key Laboratory of Environmental Pollution Control and Reservoir Protection Technology of Oilfields Xi’an Shiyou University Xi’an710065 China The Department of Science and Technology of Henan Oilfield Branch Company Sinopec Nanyang473132 China State Key Laboratory of Petroleum Pollution Control CNPC Research Institute of Safety and Environmental Technology Beijing China

ISBN: (纸本)9783035715071

The ampholytic surfactant lauramidopropyl betaine (LAB) has excellent properties and very low irritation. It has good compatibility and can be used together with cationic, anionic and nonionic surfactants. In this paper, new surfactants were synthesized by using LAB as the main component and the molar ratios of LAB to formaldehyde were 1:1, 1:2, 1:3 and 1:4, respectively. The new functional group hydroxymethyl was introduced into the LAB, and the effect of hydroxymethyl on the properties of raw materials was discussed. And the surface properties were studied, including surface tension, critical micelle concentration and foaming ability. Finally, it can be concluded that the introduction of methylol groups improves the performance of the prepared new surfactants in certain properties. © 2019 Trans Tech Publications, Switzerland.

关键词： Surface tension

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Author Correction: Harmful algal blooms in inland waters

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Nature Reviews Earth & Environment 2024年 1页

作者： Lian Feng Ying Wang Xuejiao Hou Boqiang Qin Tiit Kutser Fan Qu Nengwang Chen Hans W. Paerl Chunmiao Zheng School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China School of Geospatial Engineering and Science Sun Yat-Sen University Guangzhou China Taihu Laboratory for Lake Ecosystem Research State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China Estonian Marine Institute University of Tartu Tallinn Estonia Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies College of the Environment and Ecology Xiamen University Xiamen China Institute of Marine Sciences Department of Earth Marine and Environmental Sciences UNC Chapel Hill Morehead City NC USA Eastern Institute for Advanced Study Eastern Institute of Technology Ningbo China

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A lithium-ion battery state of charge estimation method based on the fusion of data-driven and Kalman filter-based method

Future Batteries

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Future Batteries 2025年 5卷

作者： Chuanxin Fan Kailong Liu Chunfei Gu Jingyang Fang Naxin Cui Depeng Kong Qiao Peng School of Automation Nanjing Institute of Technology Nanjing 211167 China School of Control Science and Engineering Shandong University Jinan 250100 China School of Electrical Power Engineering Nanjing Institute of Technology Nanjing 211167 China State Key Laboratory of Chemical Safety College of Mechanical and Electronic Engineering China University of Petroleum (East China) Qingdao 266580 China Information Technology Analytics & Operations group Queen’s University Belfast Belfast BT9 5EE UK

State of charge (SOC) estimation is crucial for battery management systems (BMS), which relies on accurate battery mathematical models. The conventional equivalent circuit model, however, does not describe the actual electrochemical nonlinear dynamic response of a lithium-ion battery. In this work, a novel a nonlinear equivalent circuit model (NLECM) is established. It is based on an odd random phase multisine signal for parameter estimation. The signal allows parametrization over a bandwidth broader than that of a conventional HPPC signal. Based on the established NLECM model, a window-varying adaptive extended Kalman filter (WVAEKF) with data-driven algorithm is first applied for SOC estimation. The designed WVAEKF can identify variations in the error innovation sequence distribution and modify the window’s length. Learning from a large number of battery operating data, the data-driven algorithm extracts useful features for the estimation of SOC error and improves the accuracy of the SOC estimation. The experimental results show that the error of SOC estimation by WVAEKF with data-driven algorithm is limited to 1% under dynamic stress test (DST) conditions and 0.5C constant current discharge. Compared with artificial neural network and traditional AEKF, the RMSE of the proposed algorithm is reduced by 93 % and 96 % respectively, which shows that the algorithm has higher accuracy under DST conditions .

关键词： Lithium-ion battery State of charge Window-varying adaptive extended Kalman filter Data-driven algorithms

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Silent Speech Recognition Based on Surface Electromyography

Silent Speech Recognition Based on Surface Electromyography

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Chinese Automation Congress (CAC)

作者： Siyuan Ma Dantong Jin Ming Zhang Bixuan Zhang You Wang Guang Li Meng Yang Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China Department of Computer Science and Technology China University of Mining and Technology Beijing China

Silent speech recognition (SSR) can decode the activities of electromyography (EMG) from surface of articulatory muscles to the according brain information. As the essentials in SSR, feature extraction and recognition are directly related to the final decoding effects, which requires careful research, especially on small datasets. This paper collected the surface EMG (sEMG) of 10 isolated Chinese words by 6 surface electrodes on face and around, and based on which sEMG features were extracted by wavelet packet transform, principal component analysis and XGBoost (an implementation of gradient boosted decision trees) respectively. Then Support Vector Machine, K-Nearest Neighbor and Random Forest were explored for recognition on the 10 words. The results indicated that the highest accuracy of 72% was achieved by the method of Random Forest based on XGBoost.

关键词： Feature extraction Principal component analysis Support vector machines Training Speech recognition Electromyography Forestry

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Degradation mechanism of perovskite under high charge carrier density condition

arXiv

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arXiv 2021年

作者： Li, Guohui Pi, Huihui Wei, Yanfu Zhou, Bolin Gao, Ya Wen, Rong Hao, Yuying Zhang, Han Ong, Beng S. Cui, Yanxia College of Physics and Optoelectronics Key Laboratory of Interface Science and Engineering in Advanced Materials Key Lab of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shenzhen University Shenzhen518060 China Department of Chemistry Research Centre of Excellence for Organic Electronics Institute of Advanced Materials Hong Kong Baptist University Kowloon Tong Hong Kong

Extensive studies have focused on degradation of perovskite at low charge carrier density (16cm-3), but few have surveyed the degradation mechanism at high charge carrier density (∼1018cm-3). Here, we investigate the degradation mechanisms of perovskite under high charge carrier conditions. Unlike the observations in previous works, we find that MAPbI3degradation starts at surface defects and progressing from the surface defects towards neighboring regions under high charge carrier density condition. By using PbI2passivation, the defect-initiated degradation is significantly suppressed and the nanoplatelet degrades in a layer-by-layer way, enabling the MAPbI3laser sustain for 4500 s (2.7×107pulses), which is almost 3 times longer than that of the nanoplatelet laser without passivation. Meanwhile, the PbI2passivated MAPbI3nanoplatelet laser with the nanoplatelet cavity displaying a maximum quality factor up to ∼7800, the highest reported for all MAPbI3nanoplatelet cavities. Furthermore, a high stability MAPbI3nanoplatelet laser that can last for 8500 s (5.1×107pulses) is demonstrated based on a dual passivation strategy, by retarding the defect-initiated degradation and surface-initiated degradation, simultaneously. This work provides in-depth insights for understanding the degradation of perovskite at high charge carrier density. Copyright © 2021, The Authors. All rights reserved.

关键词： Passivation

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Convolutional Neural Network applied in mime speech recognition using sEMG data

Convolutional Neural Network applied in mime speech recognit...

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Chinese Automation Congress (CAC)

作者： Qing Ai Wei Zhang Bixuan Zhang Guang Li Meng Yang State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Department of Computer Science and Technology China University of Mining and Technology Beijing China

Decoding speaking intention from the cervical and facial muscle activity enables speech recognition independent of acoustic signals, thus allowing silent communication between human and computing devices. This research aims to design and optimize the convolutional network classifier for sEMG mime speech signals. The muscles involved in the vocalization and timbre modulation are found according to the anatomical map. Six-channel signals have been collected from the corresponding position using the sEMG signal acquisition device. The original signals are subjected to pre-processing, including noise reduction, active segment detection and interpolation, to form training and testing sets. Convolutional network models are applied to Figure out the influence of structural parameters, such as convolution kernel size, the number of convolution kernels and the depth of network, on the recognition accuracy. Based on repeated trials, the optimal convolution network is provided, which provide above 80% accuracy rate.

关键词： Speech recognition Convolution Electromyography Task analysis Training Kernel Interference

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