期刊：
Nonlinear Analysis: Real World Applications,2026年87:104454 ISSN：1468-1218
通讯作者：
Jianjun Jiao
作者机构：
[Jianjun Jiao] School of Computer Science and Mathematics, Central South University of Forestry and Technology, Changsha 410004, PR China;[Yunpeng Xiao] School of Mathematical Sciences, Guizhou Normal University, Guiyang 550025, PR China
通讯机构：
[Jianjun Jiao] S;School of Computer Science and Mathematics, Central South University of Forestry and Technology, Changsha 410004, PR China
摘要：
In this work, we present a pest-natural enemy model with natural enemy periodic migration described by time delay. The globally attractive conditions for pest-elimination periodic solution ( 0 , 0 , P ( t ) ˜ ) of model ( 2 . 1 ) are acquired by methods of mathematical analysis. Permanent conditions of model ( 2 . 1 ) are also provided. Computer-assisted techniques are used to simulate the dynamical behaviors of model ( 2 . 1 ) . Furthermore, Systematic sensitivity analysis of parameters are inserted to describe the dynamic interactions between pests and their natural enemies. Our results are more closer to pest management with periodic migration and enrich theories of integrated pest management.
In this work, we present a pest-natural enemy model with natural enemy periodic migration described by time delay. The globally attractive conditions for pest-elimination periodic solution ( 0 , 0 , P ( t ) ˜ ) of model ( 2 . 1 ) are acquired by methods of mathematical analysis. Permanent conditions of model ( 2 . 1 ) are also provided. Computer-assisted techniques are used to simulate the dynamical behaviors of model ( 2 . 1 ) . Furthermore, Systematic sensitivity analysis of parameters are inserted to describe the dynamic interactions between pests and their natural enemies. Our results are more closer to pest management with periodic migration and enrich theories of integrated pest management.
作者机构：
[Li, Hongchen; Xu, Chen; Ren, Jiali; Xu, Dong; Sun, Jingbo; Chen, Liushunhao] National Engineering Research Centre for Deep Processing of Rice and By-products, Central South University of Forestry & Technology, Changsha, 410004, China;[Xu, Dong] The Faculty of Food Science and Engineering, Central South University of Forestry & Technology, Changsha, 410004, China. Electronic address: philip198349@gmail.com;[Ren, Jiali] The Faculty of Food Science and Engineering, Central South University of Forestry & Technology, Changsha, 410004, China
通讯机构：
[Dong Xu] N;National Engineering Research Centre for Deep Processing of Rice and By-products, Central South University of Forestry & Technology, Changsha, 410004, China<&wdkj&>The Faculty of Food Science and Engineering, Central South University of Forestry & Technology, Changsha, 410004, China
摘要：
Biological staining is essential for imaging, functional investigation, and disease diagnostics. In this research, innovative green-emissive carbon dots (G-CDs) were hydrothermally prepared from 1,2,4-triaminobenzene and ascorbic acid (AA) and further explored for versatile imaging of mammalian cells, plant cells, and microorganisms. The G-CDs, exhibiting fluorescence enhancement, outperform conventional dyes in terms of staining efficiency and specificity across various biological systems. For mammalian cells (SH-SY5Y, Hep3B, and HEK293), the G-CDs can stain both the nuclei and nucleoli in 10 min via a micropinocytic endocytosis approach, with the latter brighter. Fluorescence enhancement was greater for RNA than for DNA. Interestingly, for plant cells, only cell walls were stained, because positive charges on G-CDs enable strong adsorption onto the negatively charged cell walls, thereby hindering their further entry. G-CDs can stain cell walls and nuclei for fungi (including Aspergillus flavus and Aspergillus niger ), and cell walls and nucleoids for bacteria ( Bacillus subtilis and Escherichia coli ). The targeted staining arises from both the binding of G-CDs to DNA, RNA, pectin, peptidoglycan, and cellulose, and fluorescence enhancement due to surface passivation inhibiting rotation and vibration of functional groups. Electrostatic interactions, coordination, hydrogen bonding, and amidation collectively account for the interactions between G-CDs and these biomolecules . Finally, their practical applications in leucorrhea examinations demonstrated their capability to differentiate between bacterial and fungal vaginosis, highlighting their potential in clinical diagnostics.
Biological staining is essential for imaging, functional investigation, and disease diagnostics. In this research, innovative green-emissive carbon dots (G-CDs) were hydrothermally prepared from 1,2,4-triaminobenzene and ascorbic acid (AA) and further explored for versatile imaging of mammalian cells, plant cells, and microorganisms. The G-CDs, exhibiting fluorescence enhancement, outperform conventional dyes in terms of staining efficiency and specificity across various biological systems. For mammalian cells (SH-SY5Y, Hep3B, and HEK293), the G-CDs can stain both the nuclei and nucleoli in 10 min via a micropinocytic endocytosis approach, with the latter brighter. Fluorescence enhancement was greater for RNA than for DNA. Interestingly, for plant cells, only cell walls were stained, because positive charges on G-CDs enable strong adsorption onto the negatively charged cell walls, thereby hindering their further entry. G-CDs can stain cell walls and nuclei for fungi (including Aspergillus flavus and Aspergillus niger ), and cell walls and nucleoids for bacteria ( Bacillus subtilis and Escherichia coli ). The targeted staining arises from both the binding of G-CDs to DNA, RNA, pectin, peptidoglycan, and cellulose, and fluorescence enhancement due to surface passivation inhibiting rotation and vibration of functional groups. Electrostatic interactions, coordination, hydrogen bonding, and amidation collectively account for the interactions between G-CDs and these biomolecules . Finally, their practical applications in leucorrhea examinations demonstrated their capability to differentiate between bacterial and fungal vaginosis, highlighting their potential in clinical diagnostics.
摘要：
Developing biomass platform compounds into high value-added chemicals is a key step in renewable resource utilization. Herein, we report porous carbon-supported Ni-ZnO nanoparticles catalyst (Ni-ZnO/AC) synthesized via low-temperature coprecipitation, exhibiting excellent performance for the selective hydrogenation of 5-hydroxymethylfurfural (HMF). A linear correlation is first observed between solvent polarity (ET(30)) and product selectivity within both polar aprotic and protic solvent classes, suggesting that solvent properties play a vital role in directing reaction pathways. Among these, 1,4-dioxane (aprotic) favors the formation of 2,5-bis(hydroxymethyl)furan (BHMF) with 97.5% selectivity, while isopropanol (iPrOH, protic) promotes 2,5-dimethylfuran production with up to 99.5% selectivity. Mechanistic investigations further reveal that beyond polarity, proton-donating ability is critical in facilitating hydrodeoxygenation. iPrOH enables a hydrogen shuttle mechanism where protons assist in hydroxyl group removal, lowering the activation barrier. In contrast, 1,4-dioxane, lacking hydrogen bond donors, stabilizes BHMF and hinders further conversion. Density functional theory calculations confirm a lower activation energy in iPrOH (0.60 eV) compared to 1,4-dioxane (1.07 eV). This work offers mechanistic insights and a practical strategy for solvent-mediated control of product selectivity in biomass hydrogenation, highlighting the decisive role of solvent-catalyst-substrate interactions.Graphical AbstractA porous carbon-supported Ni-ZnO nanoparticles catalyst (Ni-ZnO/AC) enables solvent-regulated selective hydrogenation of HMF to high-value chemicals (BHMF/DMF), among solvent-catalyst interaction modulates HDO behavior, with lower activation energy in iPrOH versus 1,4-dioxane.
摘要：
Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature. Conventional biomass-derived cellulose frameworks face a fundamental trade-off between haze and transparency, coupled with impractical thicknesses (≥ 1mm). Inspired by squid's skin-peeling mechanism, this work develops a peroxyformic acid (HCOOOH)-enabled precision peeling strategy to isolate intact 10-µm-thick bamboo green (BG) frameworks-100 × thinner than wood-based counterparts while achieving an unprecedented optical performance (88% haze with 80% transparency). This performance surpasses delignified biomass (transparency < 40% at 1mm) and matches engineered cellulose composites, yet requires no energy-intensive nanofibrillation. The preserved native cellulose I crystalline structure (64.76% crystallinity) and wax-coated uniaxial fibril alignment (Hermans factor: 0.23) contribute to high mechanical strength (903MPa modulus) and broadband light scattering. As a light-management layer in polycrystalline silicon solar cells, the BG framework boosts photoelectric conversion efficiency by 0.41% absolute (18.74% → 19.15%), outperforming synthetic anti-reflective coatings. The work establishes a scalable, waste-to-wealth route for optical-grade cellulose materials in next-generation optoelectronics.
期刊：
International Journal of Applied Earth Observation and Geoinformation,2025年143:104821 ISSN：1569-8432
通讯作者：
Zefa Yang
作者机构：
[Zhanpeng Cao; Zefa Yang; Zhiwei Li] School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;[Cui Zhou] School of Advanced Interdisciplinary Studies, Central South University of Forestry and Technology, Changsha 410004, China
通讯机构：
[Zefa Yang] S;School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
关键词：
DEM update;Variance component estimation;Repeat-pass InSAR;Robust estimation
摘要：
Space-borne interferometric synthetic aperture radar (InSAR) is a useful technique to generate or update digital elevation models (DEMs) over large regions. Specifical InSAR missions for DEM generation/update currently work in bistatic mode. The bistatic InSAR satellites have a low temporal coverage, causing the difficulty to keep DEM products up to date. InSAR satellites working in a repeat-pass mode can offer numerous data sources with a short temporal coverage, offering a great potential to frequently update DEMs to keep DEM valid with time. However, the accuracy of repeat-pass InSAR DEMs using the existing algorithms is too low for practical uses currently. To circumvent this, we proposed a new method to frequently update DEMs from repeat-pass InSAR datasets, in order to improve update accuracy. Firstly, multi-track repeat-pass InSAR datasets were utilized to offer more redundant observations to mitigate InSAR noises. A new quantitative model was then developed to scientifically guide the exclusion of multi-track interferograms with very short spatial baselines, in order to further reduce the propagation of InSAR errors into DEM products. Thirdly, a robust variance component estimation (RVCE) algorithm, which can adaptively weight multi-track InSAR observations and automatically exclude outliers, was used to dynamically update the DEMs. The proposed method was tested over the Hambach open-pit mine in Germany. The results show that the mean accuracy of the updated DEMs is about 8.7 m, demonstrating a 60 % improvement over classical single-track repeat-pass InSAR techniques. The proposed method offers a new option to frequently update DEMs, especially over areas with changes of surface terrain.
Space-borne interferometric synthetic aperture radar (InSAR) is a useful technique to generate or update digital elevation models (DEMs) over large regions. Specifical InSAR missions for DEM generation/update currently work in bistatic mode. The bistatic InSAR satellites have a low temporal coverage, causing the difficulty to keep DEM products up to date. InSAR satellites working in a repeat-pass mode can offer numerous data sources with a short temporal coverage, offering a great potential to frequently update DEMs to keep DEM valid with time. However, the accuracy of repeat-pass InSAR DEMs using the existing algorithms is too low for practical uses currently. To circumvent this, we proposed a new method to frequently update DEMs from repeat-pass InSAR datasets, in order to improve update accuracy. Firstly, multi-track repeat-pass InSAR datasets were utilized to offer more redundant observations to mitigate InSAR noises. A new quantitative model was then developed to scientifically guide the exclusion of multi-track interferograms with very short spatial baselines, in order to further reduce the propagation of InSAR errors into DEM products. Thirdly, a robust variance component estimation (RVCE) algorithm, which can adaptively weight multi-track InSAR observations and automatically exclude outliers, was used to dynamically update the DEMs. The proposed method was tested over the Hambach open-pit mine in Germany. The results show that the mean accuracy of the updated DEMs is about 8.7 m, demonstrating a 60 % improvement over classical single-track repeat-pass InSAR techniques. The proposed method offers a new option to frequently update DEMs, especially over areas with changes of surface terrain.
期刊：
Wood Science and Technology,2025年59(2):1-18 ISSN：0043-7719
通讯作者：
Luo, H;Zuo, YF
作者机构：
[Luo, Hong; Luo, H; Xie, Zhijie; Ma, Shuai; Liao, Kai; Li, Lijun] Cent South Univ Forestry & Technol, Engn Res Ctr Forestry Equipment Hunan Prov, Changsha 410004, Peoples R China.;[Luo, Hong; Luo, H; Xie, Zhijie; Ma, Shuai; Liao, Kai; Li, Lijun] Natl Forestry & Grassland Engn Technol Res Ctr Har, Changsha 410004, Peoples R China.;[Zuo, YF; Zuo, Yingfeng] Cent South Univ Forestry & Technol, Sch Mat Sci & Engn, Changsha 410004, Peoples R China.
通讯机构：
[Luo, H ; Zuo, YF ] C;Cent South Univ Forestry & Technol, Engn Res Ctr Forestry Equipment Hunan Prov, Changsha 410004, Peoples R China.;Natl Forestry & Grassland Engn Technol Res Ctr Har, Changsha 410004, Peoples R China.;Cent South Univ Forestry & Technol, Sch Mat Sci & Engn, Changsha 410004, Peoples R China.
摘要：
Compressive creep tests (CCTs) are widely used in viscoelastic characterisation of wood. However, the prevalent use of dry friction conditions in wood CCTs often introduces considerable uncertainties into the acquired creep data. To address this critical issue, this study proposes a simple yet more accurate CCT-based strategy for viscoelastic characterisation of wood. In this strategy, oil-lubricated conditions are first designed to reduce interfacial friction in CCTs, followed by optimally fitting of the obtained creep data using multi-element (generalised) viscoelastic models. To validate this strategy, comparative CCTs of typical pinewood samples under both oil-lubricated and dry-friction conditions are conducted, and numerical simulations of the CCTs are further performed. The results indicate that: (i) the axial deformation of pinewood in dry-friction CCTs can be significantly underestimated (by up to 28.45%), leading to unrealistic creep data and viscoelastic parameters. (ii) Viscoelastic parameters calibrated from lubricated CCTs can achieve the desired creep prediction accuracy (97.09%), demonstrating a 19.28% improvement over those from unlubricated CCTs. The findings of this study highlight the critical role of reducing interfacial friction in CCTs of the pinewood, with broader implications for the accurate characterisation and prediction of the creep behavior in various woods and timber structures.
摘要：
Multi-Unmanned Aerial Vehicle (UAV)-supported Mobile Edge Computing (MEC) can meet the computational requirements of tasks with high complexity and latency sensitivity to compensate for the lack of computational resources and coverage. In this paper, a multi-user and multi-UAV MEC networks is built as a two-tier UAV system in a task-intensive region where base stations are insufficient, with a centralized top-center UAV and a set of distributed bottom-UAVs providing computing services. The total energy consumption of the system is minimized by jointly optimizing the task offloading decision, 3D deployment of two-tier UAVs, the elevation angle of the bottom UAV, the number of UAVs, and computational resource allocation. To this end, an algorithm based on Differential Evolution and greedy algorithm with the objective of minimizing Energy Consumption (DEEC) is proposed in this paper. The algorithm uses a two-tier optimization framework where the upper tier uses a population optimization algorithm to solve for the location and elevation angle of the bottom UAV and the number of UAVs based on the actual ground equipment and the lower tier uses clustering and greedy algorithms to solve for the position of the top UAV, the offloading decision of the task, and the allocation of computational resources based on the results of the upper layer. The simulation results show that the algorithm effectively reduces the total energy consumption of the system while satisfying the task computation success rate and time delay.
Multi-Unmanned Aerial Vehicle (UAV)-supported Mobile Edge Computing (MEC) can meet the computational requirements of tasks with high complexity and latency sensitivity to compensate for the lack of computational resources and coverage. In this paper, a multi-user and multi-UAV MEC networks is built as a two-tier UAV system in a task-intensive region where base stations are insufficient, with a centralized top-center UAV and a set of distributed bottom-UAVs providing computing services. The total energy consumption of the system is minimized by jointly optimizing the task offloading decision, 3D deployment of two-tier UAVs, the elevation angle of the bottom UAV, the number of UAVs, and computational resource allocation. To this end, an algorithm based on Differential Evolution and greedy algorithm with the objective of minimizing Energy Consumption (DEEC) is proposed in this paper. The algorithm uses a two-tier optimization framework where the upper tier uses a population optimization algorithm to solve for the location and elevation angle of the bottom UAV and the number of UAVs based on the actual ground equipment and the lower tier uses clustering and greedy algorithms to solve for the position of the top UAV, the offloading decision of the task, and the allocation of computational resources based on the results of the upper layer. The simulation results show that the algorithm effectively reduces the total energy consumption of the system while satisfying the task computation success rate and time delay.
摘要：
The rice polishing ratio has an essential effect on the flavour quality of sake. This study comprehensively describes the relationship between the polishing ratio and sake quality. As the polishing ratio decreased, the outer layer of rice suffered more structural damage. Moisture was more readily accessible to the interior of the rice. The pasting properties of the rice were significantly improved, resulting in a more complete fermentation. The above results decreased the aldehydes and ketones content in steamed rice from 65.61 μg/mL to 51.82 μg/mL, leading to a reduction of off-flavours caused by their over-accumulation. The polishing ratio also had a significant effect on sake flavour. A lower polishing ratio reduced higher alcohols, like 3-methyl-1-butanol. The flavour perceived in the sake changed from herbal to alcohol aroma. The final results showed that the flavour compounds in the sake were highest when the polishing ratio was 50%. Among them, the contents of key flavour compounds such as ethyl acetate and ethyl caproate were peaked. And the content of bitter amino acids was low. Therefore, rice with a polishing ratio of 50% is the most suitable for sake brewing. The results of this study provide a scientific basis for the accuracy of rice processing in sake brewing.
The rice polishing ratio has an essential effect on the flavour quality of sake. This study comprehensively describes the relationship between the polishing ratio and sake quality. As the polishing ratio decreased, the outer layer of rice suffered more structural damage. Moisture was more readily accessible to the interior of the rice. The pasting properties of the rice were significantly improved, resulting in a more complete fermentation. The above results decreased the aldehydes and ketones content in steamed rice from 65.61 μg/mL to 51.82 μg/mL, leading to a reduction of off-flavours caused by their over-accumulation. The polishing ratio also had a significant effect on sake flavour. A lower polishing ratio reduced higher alcohols, like 3-methyl-1-butanol. The flavour perceived in the sake changed from herbal to alcohol aroma. The final results showed that the flavour compounds in the sake were highest when the polishing ratio was 50%. Among them, the contents of key flavour compounds such as ethyl acetate and ethyl caproate were peaked. And the content of bitter amino acids was low. Therefore, rice with a polishing ratio of 50% is the most suitable for sake brewing. The results of this study provide a scientific basis for the accuracy of rice processing in sake brewing.
摘要：
The photocatalytic TiO 2 has been regarded as a promising catalyst of nonbiodegradable organic pollutants in wastewater. Resolving some issues of agglomeration, recoverability, and poor efficiency, an inorganic TiO 2 -based catalyst has been constructed by a template method, which picks out bamboo fibers originating from processing waste. Characterization of the hollow fibrous TiO 2 /Fe 3 O 4 catalyst confirms the successful loading of Fe 3 O 4 and TiO 2 , along with a well-developed macroporous structure and high porosity (67.46%). At a solar intensity of 1 kW/m 2 , when the amount of TiO 2 /Fe 3 O 4 is 0.3 g and the amount of H 2 O 2 added is 3 mL, its degradation effect of 88.36% on industrial dye wastewater is optimal. The high magnetic saturation strength (5.78 emu/g) endows TiO 2 /Fe 3 O 4 with ultra-high magnetic properties. As expected, after 10 catalytic cycles, the average degradation rate of TiO 2 /Fe 3 O 4 toward methylene blue (MB) (0.2 L, 10 mg/L) remains above 96.2%, indicating that TiO 2 /Fe 3 O 4 has ultra-high recyclability and repeatability. Furthermore, the degradation kinetics analysis shows that TiO 2 /Fe 3 O 4 exhibits complete degradation of MB within 1 h and the degradation follows quasi-primary kinetics ( k = 06062 min −1 , R 2 = 0.99747). Free radical burst experiments also indicate that hydroxyl radicals are active species that may play a major role in the solar-photo-Fenton system.
摘要：
Proactive maintenance is widely recognized for enhancing equipment reliability and reducing downtime costs. However, its role in optimizing spare parts production and distribution decisions remains underexplored, thereby limiting efficient cross-domain resource utilization within the supply-demand system. This paper addresses this gap by studying a maintenance-driven multi-stage joint optimization problem (MMJOP), which integrates flexible spare parts production, multi-vehicle distribution, and imperfect maintenance. We propose an optimal imperfect maintenance strategy to link these cross-domain business activities precisely, and further develop a mathematical model aimed at minimizing energy consumption on the supply side and operational costs on the demand side. To solve the MMJOP, we design an enhanced non-dominated neighbor immune algorithm, featuring a customized initialization operator and a problem-specific local search operator. Additionally, a Q -learning mechanism is employed to automatically select the most appropriate key parameters in the proposed algorithm. Extensive experiments indicate that: (1) the proposed components greatly enhance QNNIA's search performance; and (2) the QNNIA outperforms four well-known comparison algorithms regarding computational optimality, convergence, distribution, and stability. More importantly, the proposed model yields significant economic value, i.e., saving operational costs by 49% with negligible impact on overall energy consumption, proving the necessity of cross-domain business cooperation and resource optimization in the high-end equipment industry.
Proactive maintenance is widely recognized for enhancing equipment reliability and reducing downtime costs. However, its role in optimizing spare parts production and distribution decisions remains underexplored, thereby limiting efficient cross-domain resource utilization within the supply-demand system. This paper addresses this gap by studying a maintenance-driven multi-stage joint optimization problem (MMJOP), which integrates flexible spare parts production, multi-vehicle distribution, and imperfect maintenance. We propose an optimal imperfect maintenance strategy to link these cross-domain business activities precisely, and further develop a mathematical model aimed at minimizing energy consumption on the supply side and operational costs on the demand side. To solve the MMJOP, we design an enhanced non-dominated neighbor immune algorithm, featuring a customized initialization operator and a problem-specific local search operator. Additionally, a Q -learning mechanism is employed to automatically select the most appropriate key parameters in the proposed algorithm. Extensive experiments indicate that: (1) the proposed components greatly enhance QNNIA's search performance; and (2) the QNNIA outperforms four well-known comparison algorithms regarding computational optimality, convergence, distribution, and stability. More importantly, the proposed model yields significant economic value, i.e., saving operational costs by 49% with negligible impact on overall energy consumption, proving the necessity of cross-domain business cooperation and resource optimization in the high-end equipment industry.
通讯机构：
[Wang, HD ] C;Cent South Univ Forestry & Technol, Sch Civil Engn, Changsha 410004, Peoples R China.
关键词：
Calcareous sand;EICP;Stress-strain curve;Calcium carbonate content;Statistical damage constitutive model
摘要：
The enzyme-induced calcium carbonate precipitation (EICP) technique was utilized to cement calcareous sand. The mechanical properties of EICP-cemented calcareous sand at various cementation degree were investigated using consolidated drained triaxial compression tests. A statistical damage constitutive model tailored for EICP-cemented calcareous sand was also developed based on damage mechanics theory. The findings are as follows: (1) The EICP technique significantly enhances the cementation of calcareous sand. As the number of grouting operations increases, the peak deviator stress of the cemented material gradually increases, with the maximum enhancement approaching 2.5 times. Moreover, during the stress decay phase following the peak stress, the decay rate of the cemented sand accelerates, displaying a more pronounced brittle characteristic. (2) With the increased calcium carbonate content, the peak eccentric stress of the cemented body increases significantly, and there is an obvious nonlinear exponential correlation between them. (3) The statistical damage constitutive model, formulated based on Lemaitre's strain equivalence principle combined with a log-normal distribution and the Drucker–Prager strength criterion, accurately predicts the stress–strain curves, effectively simulating the complete stress–strain evolution of EICP-cemented sand under different numbers of grouting operations and varied confining pressure conditions. (4) At higher cementation levels or lower confining pressures, the internal damage process of the EICP-cemented calcareous sand specimens intensifies, indicated by the rapid increase of the damage variable D with axial strain. The research findings can provide a crucial theoretical foundation for the application of EICP technology in the treatment of island reef or roadbed foundations, aiding in the analysis and prediction of the mechanical properties of EICP-cemented calcareous sands.
摘要：
Peptides are important components of human nutrition and health, and considered as safe, nontoxic, and easily absorbed potential drugs. Anti-hypoxia peptides are a kind of peptides that can prevent hypoxia or hypoxia damage. In this paper, the sources, preparations, and molecular mechanisms of anti-hypoxia peptides were systemically reviewed. The combination of bioinformatics, chemical synthesis, enzymatic hydrolysis, and microbial fermentation are recommended for efficient productions of anti-hypoxic peptides. The mechanisms of anti-hypoxic peptides include interference with glycolytic process and HIF-1 alpha pathway, mitochondrial apoptosis, and inflammatory response. In addition, bioinformatics analysis, including virtual screening and molecular docking, provides an alternative or auxiliary method for exploring the potential anti-hypoxic activities and mechanisms of peptides. The potential challenges and prospects of anti-hypoxic peptides are also discussed. This paper can provide references for researchers in this field and promote further research and clinical applications of anti-hypoxic peptides in the future. Potential anti-hypoxia mechanism of active peptides. PHD: Proline hydroxylase domain; VHL: E3 ubiquitin ligase; HIF-1 alpha: Hypoxia inducible factor-1 alpha; VEGF: Vascular growth factor; GLUT1/4: Monoclonal Antibody to Glucose Transporter 1/4; IL-17: Interleukin 17; Egr-1: Eearly growth response gene-1; INF-gamma: Interferon-gamma; Bax: Pro-apoptotic proteins; Bcl-2: Anti-apoptotic protein; Bax: Pro-apoptotic proteins; Bcl-2: Anti-apoptotic protein; BNIP: BCL2/adenovirus E1B 19kDa interacting protein 1; ULK: unc-51 like kinase; AKT: Serine/Threonine Kinase; PI3K: Phosphoinositide-3 kinase; mTOR: Mechanistic target of rapamycin; FIP200: RB1-inducible coiled-coil 1; LKB1: Serine-Threonine Kinase 1; AMPK: Adenosine 5'-monophosphate (AMP)-activated protein kinase; OXPHOS: Oxidative phosphorylation; ROS: Reactive oxygen species; NQO1: Quinone Oxidoreductase 1; HO-1: heme oxygenase 1; Nrf2: Nuclear Factor erythroid 2-Related Factor 2; SOD: Superoxide dismutase; GSH: Glutathione; RAFLS: Rheumatoid arthritis Fibroblast-like synoviocyte; IKK: Inhibitor of kappa B kinase; NF-kappa B: Nuclear kappa B; MAPK: Mitogen-activated protein kinases; JNK: Jun N-terminal kinase; ERK1/2: protein kinase
摘要：
INTRODUCTION: Wood is primarily made up of secondary xylem cell walls, with lignin, cellulose, and hemicellulose as the main chemical components. The presence of lignin represents recalcitrance to wood pulping and biofuel conversion. Consequently, reducing lignin content is a key approach to improving wood properties and optimizing its processing. METHODS: In this study, we suppressed lignin biosynthesis by overexpressing a mutated transcription repressor PdLTF1(AA) and enhanced cellulose synthesis simultaneously by introducing cellulose synthase genes, PdCesA4, PdCesA7A, or PdCesA8A, specifically in xylem fiber cells. RESULTS AND DISCUSSION: The transgenic plants exhibited decreased lignin content and a significant increase in cellulose content. Transcriptome analysis indicated that expression of PdLTF1(AA) along with PdCesA4, PdCesA7A, or PdCesA8A in fiber cells resulted in transcriptional alterations in the genes associated with cell wall remodeling and polysaccharide synthesis during xylem development. The results also indicated that the diameter of wood fiber cells within the xylem is increased, which leads to a larger stem diameter in the transgenic plants. This study suggests that the biosynthesis of lignin and cellulose can be simultaneously modified, which presents a new strategy for modifying wood fiber characteristics for more efficient fiber and biomass processing.
期刊：
INTERNATIONAL JOURNAL OF FOOD ENGINEERING,2025年21(2):129-137 ISSN：2194-5764
通讯作者：
Liu, C
作者机构：
[Guan, Chunmin; Liu, C; Liu, Chun; Xiang, Xiongzi; Wang, Qing; Qiao, Fan; Lin, Qinlu] Cent South Univ Forestry & Technol, Natl Engn Res Ctr Rice & By Prod Deep Proc, Sch Food Sci & Engn, Changsha 410004, Peoples R China.;[Luo, Lijuan] Huazhong Agr Univ, Coll Food Sci & Technol, Wuhan 430070, Peoples R China.
通讯机构：
[Liu, C ] C;Cent South Univ Forestry & Technol, Natl Engn Res Ctr Rice & By Prod Deep Proc, Sch Food Sci & Engn, Changsha 410004, Peoples R China.
关键词：
soybean protein isolate (SPI);transglutaminase (TG);konjac glucomannan (KGM);dry rice noodles;cooking and eating quality;glycemic index (GI)
摘要：
Abstract In this study, rice noodles were developed with the goal of improving texture, cooking quality, sensory attributes, and reducing glycemic impact by adding transglutaminase (TG), soybean protein isolate (SPI), and konjac glucomannan (KGM) to indica rice flour using a single-screw extruder. Compared to the control group without these additives, the textural analysis results showed that the addition of 0.5 % TG, 0.5 % KGM, and 3 % SPI significantly improved chewiness. For cooking and sensory quality, this formulation exhibited the lowest cooking loss rate (CLR), a reduced iodine blue value, the highest water absorption rate (WAR), and superior overall acceptability in comparison to the control. In terms of color properties, this group showed a 1.66 % increase in L* (lightness) and a 0.78 % decrease in a* (red-green value) compared to the control. Furthermore, the in vitro digestion results revealed a decrease of 3.87 % in estimated glycemic index (eGI) and an 8.03 % reduction in glycemic load (GL) for the 0.5 % TG + 0.5 % KGM + 3 % SPI group relative to the control. This study demonstrates the potential to enhance rice noodle quality while lowering glycemic impact.
摘要：
Mustard is traditionally prepared through natural fermentation. However, this method is associated with food quality issues, including long fermentation periods, inconsistent quality, and high nitrite (NIT) levels. In this study, Lactiplantibacillus plantarum SYS-4 was prepared as a direct solid fermentation agent using vacuum freeze-drying. The response surface method was employed to optimize the concentration of the protective agent and evaluate its storage stability. Fresh mustard was inoculated with the fermentation agent, and the quality parameters of the mustard during fermentation were comprehensively analyzed. The findings showed that the optimal concentration (g/100mL) of the lyophilized protective agents, determined by response surface analysis, was 12.50 trehalose, 5.50 mannitol, and 12.00 skimmed milk. Under these conditions, the survival rate of Lactiplantibacillus plantarum SYS-4 freeze-drying agent reached 80.15±1.04%. The viable bacteria count was significantly negatively correlated with storage time, storage temperature, and water activity ( Aw ) ( P < 0.05 ), with maximum storage stability observed at Aw levels between 0.10 and 0.12. Compared to natural fermentation, inoculation with Lactiplantibacillus plantarum SYS-4 significantly decreased the time required for acid accumulation, accelerated the fermentation endpoint (pH 3.45, total acid content of 0.74%), prevented the formation of the "nitrite peak," and decreased NIT levels. Headspace Solid Phase Micro-extraction Gas Chromatography-mass Spectrometry (HS-SPME-GC-MS) analysis identified esters, alcohols, aldehydes, ketones, alkanes, and nitriles. Esters were the dominant flavor compounds in both methods. However, the relative ester content increased by 7.01% with Lactiplantibacillus plantarum SYS-4 fermentation, while the content of characteristic flavor compounds, such as allyl isothiocyanate, decreased. Sensory evaluation showed that Lactiplantibacillus plantarum SYS-4 fermentation reduced the spiciness of mustard, yielding a milder flavor profile with a more pronounced sour flavor. Furthermore, the inoculated fermentation preserved the desirable texture of natural fermentation while enhancing overall acceptability.
Mustard is traditionally prepared through natural fermentation. However, this method is associated with food quality issues, including long fermentation periods, inconsistent quality, and high nitrite (NIT) levels. In this study, Lactiplantibacillus plantarum SYS-4 was prepared as a direct solid fermentation agent using vacuum freeze-drying. The response surface method was employed to optimize the concentration of the protective agent and evaluate its storage stability. Fresh mustard was inoculated with the fermentation agent, and the quality parameters of the mustard during fermentation were comprehensively analyzed. The findings showed that the optimal concentration (g/100mL) of the lyophilized protective agents, determined by response surface analysis, was 12.50 trehalose, 5.50 mannitol, and 12.00 skimmed milk. Under these conditions, the survival rate of Lactiplantibacillus plantarum SYS-4 freeze-drying agent reached 80.15±1.04%. The viable bacteria count was significantly negatively correlated with storage time, storage temperature, and water activity ( Aw ) ( P < 0.05 ), with maximum storage stability observed at Aw levels between 0.10 and 0.12. Compared to natural fermentation, inoculation with Lactiplantibacillus plantarum SYS-4 significantly decreased the time required for acid accumulation, accelerated the fermentation endpoint (pH 3.45, total acid content of 0.74%), prevented the formation of the "nitrite peak," and decreased NIT levels. Headspace Solid Phase Micro-extraction Gas Chromatography-mass Spectrometry (HS-SPME-GC-MS) analysis identified esters, alcohols, aldehydes, ketones, alkanes, and nitriles. Esters were the dominant flavor compounds in both methods. However, the relative ester content increased by 7.01% with Lactiplantibacillus plantarum SYS-4 fermentation, while the content of characteristic flavor compounds, such as allyl isothiocyanate, decreased. Sensory evaluation showed that Lactiplantibacillus plantarum SYS-4 fermentation reduced the spiciness of mustard, yielding a milder flavor profile with a more pronounced sour flavor. Furthermore, the inoculated fermentation preserved the desirable texture of natural fermentation while enhancing overall acceptability.
作者机构：
[Ding, Yuqin; Ding, YQ; Zhang, Lingzhi; Tang, Wanting; Lin, Lizhong; Ren, Jing; Mo, Yijie; Lin, Yanxin; Guo, Xiao] Cent South Univ Forestry & Technol, Coll Food Sci & Engn, Natl Engn Res Ctr Rice & By Prod Deep Proc, Changsha 410004, Peoples R China.
通讯机构：
[Ding, YQ ] C;Cent South Univ Forestry & Technol, Coll Food Sci & Engn, Natl Engn Res Ctr Rice & By Prod Deep Proc, Changsha 410004, Peoples R China.
关键词：
Mannan oligosaccharides;Curdlan;Cryoprotection activity;Surimi;Myofibrillar protein structure;Freeze-thaw cycles
摘要：
The cryoprotective effects of mannan oligosaccharides (MOS) and curdlan (CU) on the quality of grass carp surimi after freeze-thaw cycles (FTCs) were assessed using the response surface methodology. The optimal contents of MOS (6.79 %, w /w) and CU (0.45 %, w/w) produced minimum thawing losses and the highest gel strength of surimi after five times FTCs. MOS, CU, and their mixture demonstrated cryoprotective effects on grass carp surimi. Compared to MOS or CU alone, MOS-CU displayed synergistic cryoprotective effects, as evidenced by the better prevention of thawing losses of surimi, the superior retardation of the aggregation and denaturation of MP, the amelioration of the gel strength and WHC of surimi gel. Moreover, the MOS-CU mixture demonstrated cryoprotective effects equivalent to those of commercial cryoprotectant on grass carp surimi from zero to five times FTCs and even outperformed CC after seven times FTCs.
The cryoprotective effects of mannan oligosaccharides (MOS) and curdlan (CU) on the quality of grass carp surimi after freeze-thaw cycles (FTCs) were assessed using the response surface methodology. The optimal contents of MOS (6.79 %, w /w) and CU (0.45 %, w/w) produced minimum thawing losses and the highest gel strength of surimi after five times FTCs. MOS, CU, and their mixture demonstrated cryoprotective effects on grass carp surimi. Compared to MOS or CU alone, MOS-CU displayed synergistic cryoprotective effects, as evidenced by the better prevention of thawing losses of surimi, the superior retardation of the aggregation and denaturation of MP, the amelioration of the gel strength and WHC of surimi gel. Moreover, the MOS-CU mixture demonstrated cryoprotective effects equivalent to those of commercial cryoprotectant on grass carp surimi from zero to five times FTCs and even outperformed CC after seven times FTCs.
通讯机构：
[Huang, SH ] C;[He, ZX ] M;Cent South Univ Forestry & Technol, Coll Life & Environm Sci, Changsha 410004, Peoples R China.;Cent South Univ Forestry & Technol, Yuelushan Lab, Changsha 410004, Peoples R China.;Minist Ecol & Environm, Tech Ctr Soil Agr & Rural Ecol & Environm, Beijing 100012, Peoples R China.
关键词：
Ni contaminatied soil;Stabilization;Fe-Mn modified biochar
摘要：
PurposeDue to the persistence and limited degradation capacity of Ni, Ni concentrations in soil are gradually increasing, posing a great challenge for soil remediation. The objective of this study was to remediate Ni contaminated soil using ferromanganese modified biochar (FMBC) and to elucidate its stabilization mechanism.Materials and methodsIn this study, using SEM-EDS, XRD, FTIR, XPS as well as adsorption thermodynamic and kinetic models, study the binding characteristics of the material and Ni and the stabilization mechanism of the material on Ni -contaminated soil. Toxicity Characteristic Leaching Profile (TCLP) and BCR sequential extraction procedures were used to study the stabilizing effect of this material on Ni in soil in soil incubation tests.Results and discussionThe experimental results show that multilayer chemisorption is the dominant adsorption mechanism, and the stabilization process is mainly dominated by hydrogen bonding, ion exchange of Fe/Mg-O and Ni(II), conjugation effects of aromatic groups containing pi-bonds, ketone, carboxyl or ester groups, and surface complexation. TCLP leaching Ni concentrations in contaminated soil can be reduced by over 98% after 30 days of stable recovery at 1% material dosage. Besides, weak acid extractable and reducible Ni concentrations were reduced by 33% and 24%, respectively. Meanwhile, oxidizable and residual Ni concentrations increased by 44% and 14%, respectively.ConclusionsThese results suggest that Ni in soils has changed from a highly mobile and bioavailable state to a more stable and less ecotoxic state. Therefore, FMBC is a highly promising material for the remediation of Ni-contaminated soils.
