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Chinese Journal of Chemical Engineering 2024年第2期66卷 40-50页

作者： Yi-Fei liang Jin-Rong Lu Shang-Kun tian Wen-quan Cui Li Liu Hebei Provincial Key Laboratory of Environmental Photocatalytic and Electrocatalytic Materials College of Chemical EngineeringNorth China University of Science and TechnologyTangshan 063210China

For the use of green hydrogen energy,it is crucial to have efficient photocatalytic activity for hydrogen generation by water reforming of methanol under mild conditions.Much attention has been paid to gC_(3)N_(4)as a promising photocatalyst for the generation of hydrogen.To improve the separation of photogenerated charge,porous nanosheet g-C_(3)N_(4)was modified with Pt nanoclusters(Pt/g-C_(3)N_(4))through impregnation and following photo-induced reduction.This catalyst showed excellent photocatalytic activity of water reforming of methanol fo r hydrogen production with a 17.12 mmol·g^(-1)·h^(-1)rate at room temperature,which was 311 times higher than that of the unmodified g-C_(3)N_(4).The strong interactions of Pt-N in Pt/g-C_(3)N_(4)constructed effective electron transfer channels to promote the separation of photogenerated electrons and holes effectively.In addition,in-situ infrared spectroscopy was used to investigate the intermediates of the hydrogen production reaction,which proved that methanol and water eventually turn into H_(2)and CO_(2)via formaldehyde and formate.This study provides insights for understanding the photocatalytic hydrogen production in the water reforming of methanol.

关键词： Water reforming of methanol Photocatalysis g-C_(3)N_(4) Pt nanoclusters Hydrogen production

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Development and Quality Analysis of Malus prunifolia Jam

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A new interacting capillary bundle model on the multiphase flow in micropores of tight rocks

Science and Technology of Food Industry 2024年第11期45卷 175-186页

作者： Wang, Yuanli Wang, Fei Zhang, quan Tang, Muguo Tao, liang tian, Yang College of Food Science and Technology Yunnan Agricultural University Kunming 650000 China Engineering Research Center of Development Utilization of Food and Drug Homologous Resources Ministry of Education Yunnan Agricultural University Kunming 650000 China Yunnan Key Laboratory of Precision Nutrition and Personalized Food Manufacturing Yunnan Agricultural University Kunming 650000 China

In order to develop the nutrition and unique flavor of Malus prunifolia jam, the process optimization and product development were used by Box-Behnken response surface method with the addition of Malus prunifolia pulp, honey pomelo peel pectin, white sugar and concentration time as factors and sensory scores as response values. The sensory indexes, physical and chemical indexes, microbial indexes and quality characteristics of the finished products were measured. The results showed that the optimum processing conditions of the Malus prunifolia jam were 77.7% of the Malus prunifolia pulp, 5.0% of the honey pomelo peel pectin, 17.3% of the white sugar, and the concentration time was 17 min. The results of sensory indexes showed that the Malus prunifolia jam made under the optimized conditions were tasted sweet and sour, and presented bright red orange color. Physicochemical index results showed that pH of Malus prunifolia jam was 4.41, total acid content was 5.14%, total flavone content was 31.40 mg/100 g, total sugar content was 10.26%, soluble solid content was 40.61%, vitamin C content was 7.61 mg/g. The results of microbiological index showed that the total number of bacterial colonies was 50 CFU/g, mold, coliform and Staphylococcus aureus were not detected. The results of quality characteristics showed that the Malus prunifolia jam belonged to pseudoplastic fluid, the storage modulus (G') and loss modulus (G") of Malus prunifolia jam increased with the increase of oscillation frequency, and G'>G", showing the characteristics of elastic viscoelastic body. And the most volatile flavor compounds were α-farnesene, methylheptenone and 2, 4-di-tert-butylphenol. The development of Malus prunifolia jam has a certain significance to enrich the product types of Malus prunifolia, improve the edible convenience of Malus prunifolia and promote the development of the industrial chain of Malus prunifolia. © 2024 Editorial Department of Science and Technology of Food Science. All rights reserved.

关键词： Physicochemical properties

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Petroleum Science 2024年第2期21卷 1099-1112页

作者： Wen-quan Deng tian-Bo liang Wen-Zhong Wang Hao Liu Jun-Lin Wu Fu-Jian Zhou National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China

Surfactants are widely used in the fracturing fluid to enhance the imbibition and thus the oil recovery rate. However, current numerical models cannot capture the physics behind capillary imbibition during the wettability alteration by surfactants. Although the interacting capillary bundle(ICB) model shows potential in characterizing imbibition rates in different pores during wettability alteration, the existing ICB models neglect the influence of wettability and viscosity ratio on the imbibition behavior, making it difficult to accurately describe the oil-water imbibition behavior within the porous media. In this work,a new ICB mathematical model is established by introducing pressure balance without assuming the position of the leading front to comprehensively describe the imbibition behavior in a porous medium under different conditions, including gas-liquid spontaneous imbibition and oil-water imbibition.When the pore size distribution of a tight rock is known, this new model can predict the changes of water saturation during the displacement process in the tight rock, and also determine the imbibition rate in pores of different sizes. The water saturation profiles obtained from the new model are validated against the waterflooding simulation results from the CMG, while the imbibition rates calculated by the model are validated against the experimental observations of gas-liquid spontaneous imbibition. The good match above indicates the newly proposed model can show the water saturation profile at a macroscopic scale while capture the underlying physics of the multiphase flow in a porous medium at a microscopic scale. Simulation results obtained from this model indicate that both wettability and viscosity ratio can affect the sequence of fluid imbibition into pores of different sizes during the multiphase flow, where less-viscous wetting fluid is preferentially imbibed into larger pores while more-viscous wetting fluid tends to be imbibed into smaller pores. Furthermore, this model provides an avenue to calcu

关键词： Imbibition Multiphase flow Tight rock Interacting capillary bundle model Wettability

Selective adsorption of tetracycline by b-CD-immobilized sodium alginate aerogel coupled with ultrafiltration for reclaimed water

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Chinese Journal of Chemical Engineering 2024年第4期68卷 27-34页

作者： Xi quan Jun Zhang Linlin Yin Wei Zuo Yu tian State Key Laboratory of Urban Water Resource and Environment(SKLUWRE) School of EnvironmentHarbin Institute of TechnologyHarbin 150090China

In this work,a novel composite material based on b-cyclodextrin-immobilized sodium alginate aerogel(b-CD/NaAlg)was developed utilizing cross-linker of epichlorohydrin and applied as an adsorbent to remove tetracycline antibiotics from reclaimed wastewater.A series of characterizations were utilized to confirm the successful synthesis of the adsorbent and this b-CD/NaAlg presented a three-dimensional network at the nanoscale or microscale.Under optimal conditions(pH=4,t=8 h,b-CD:NaAlg=9,adsorbent dosage=1.5 g·L^(-1)),the maximum removal rate of b-CD/NaAlg to tetracycline was 70%.The adsorption behavior of tetracycline on b-CD/NaAlg conformed to the Freundlich isotherm model(R^(2)=0.9977)and the pseudo-second-order kinetic model(R^(2)=0.9993).Moreover,the adsorbent still removed 55.3%of tetracycline after five cycles.Specially,the adsorbent was integrated with ultrafiltration to adsorb tetracycline antibiotics from simulated reclaimed wastewater,and the removal rate of tetracycline reached 78.9%within 2 h.The existence of Cr(VI)had a negligible impact on tetracycline removal,while the presence of humic acid exhibited a promoting effect.The possible adsorption mechanisms were also elucidated through X-ray photoelectron spectroscopy and density functional theory analysis.In summary,b-CD/NaAlg represents an environmentally friendly,efficient,and sustainable adsorbent for removing tetracycline antibiotics from reclaimed water.

关键词： b-CD/NaAlg aerogel Covalent grafting Tetracycline antibiotics Ultrafiltration Selective adsorption Reclaimed water

Roles of nanoparticles in arsenic mobility and microbial community composition in arsenic-enriched soils

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Journal of Environmental Sciences 2024年第4期138卷 301-311页

作者： Ting Luo Qining Zheng Jie Yu Weihao liang Yan Sun Guixiang quan Feng Zhou School of Environmental Science and Engineering Yancheng Institute of TechnologyYancheng 224051China Jiangsu Provincial Key Laboratory of Coastal Ecology and Pollution Control Yancheng 224051China School ofEnvironment and Civil Engineering Jiangnan UniversityWuxi 214122China

Environmental effects of nano remediation engineering of arsenic(As)pollution need to be considered.In this study,the roles of Fe_(2)O_(3)and TiO_(2)nanoparticles(NPs)on the microbial mediated As mobilization from As contaminated soil were investigated.The addition of Fe_(2)O_(3)and TiO_(2)NPs restrained As(V)release,and stimulated As(Ⅲ)release.As(V)concentration decreased by 94% and 93% after Fe_(2)O_(3)addition,and decreased by 89% and 45% after Ti O_(2)addition compared to the Biotic and Biotic+Acetate(amended with sodium acetate)controls,respectively.The maximum values of As(Ⅲ)were 20.5 and 27.1μg/L at 48 d after Fe_(2)O_(3)and TiO_(2)NPs addition,respectively,and were higher than that in Biotic+Acetate control(12.9μg/L).The released As co-precipitated with Fe in soils in the presence of Fe_(2)O_(3)NPs,but adsorbed on TiO_(2)NPs in the presence of TiO_(2)NPs.Moreover,the addition of NPs amended with sodium acetate as the electron donor clearly promoted As(V)reduction induced by microbes.The NPs addition changed the relative abundance of soil bacterial community,while Proteobacteria(42.8%-70.4%),Planctomycetes(2.6%-14.3%),and Firmicutes(3.5%-25.4%)were the dominant microorganisms in soils.Several potential As/Fe reducing bacteria were related to Pseudomonas,Geobacter,Desulfuromonas,and Thiobacillus.The addition of Fe_(2)O_(3)and TiO_(2)NPs induced to the decrease of arr A gene.The results indicated that the addition of NPs had a negative impact on soil microbial population in a long term.The findings offer a relatively comprehensive assessment of Fe_(2)O_(3)and TiO_(2)NPs effects on As mobilization and soil bacterial communities.

关键词： Fe_(2)O_(3)and TiO_(2)nanoparticles Arsenic reduction Mobilization Functional gene Microbial community

TSC prediction and dynamic control of BOF steelmaking with state-of-the-art machine learning and deep learning methods

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Journal of Iron and Steel Research(International) 2024年第1期31卷 174-194页

作者： tian-yi Xie Cai-dong Zhang quan-lin Zhou Zhi-qiang tian Shuai Liu Han-jie Guo Material Technology Research Institute Hesteel GroupShijiazhuang050023HebeiChina Tangsteel Company Hesteel GroupTangshan063611HebeiChina School of Artificial Intelligence Beijing Technology and Business UniversityBeijing100048China School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing100083China

Mathematical(data-driven)models based on state-of-the-art(SOTA)machine learning and deep learning models and data collected from 12,786 heats were established to predict the values of temperature,sample,and carbon(TSC)test,including temperature of molten steel(TSC-Temp),carbon content(TSC-C)and phosphorus content(TSC-P),which made prepa-ration for eliminating the TSC test.To maximize the prediction accuracy of the proposed approach,various models with different inputs were implemented and compared,and the best models were applied to the production process of a Hesteel Group steelmaking plant in China in the field.The number of tabular features(hot metal information,scrap,additives,blowing practices,and preset values)was expanded,and time series(off-gas profiles and blowing practice curves)that could reflect the entire steelmaking process were introduced as inputs.First,the latest machine learning models(LightGBM,CatBoost,TabNet,and NODE)were used to make predictions with tabular features,and the best coefficient of determination R^(2)values obtained for TSC-P,TSC-C and TSC-Temp predictions were 0.435(LightGBM),0.857(Cat-Boost)and 0.678(LightGBM),respectively,which were higher than those of classic models(backpropagation and support vector machine).Then,making predictions was performed by using SOTA time series regression models(SCINet,DLinear,Informer,and MLSTM-FCN)with original time series,SOTA image regression models(NesT,CaiT,ResNeXt,and GoogLeNet)with resized time series,and the proposed Concatenate-Model and Parallel-Model with both tabular features and time series.Through optimization and comparisons,it was finally determined that the Concatenate-Model with MLSTM-FCN,SCINet and Informer as feature extractors performed the best,and its R^(2)values for predicting TSC-P,TSC-C and TSC-Temp reached 0.470,0.858 and 0.710,respectively.Its field test accuracies for TSC-P,TSC-C and TSC-Temp were 0.459,0.850 and 0.685,respectively.A related importance analysis was carried out,and dynamic control methods based on pred

关键词： BOF steelmaking In-blow prediction TSC test Machine learning Deep learning Field application

Fracture geometry and breakdown pressure of radial borehole fracturing in multiple layers

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Petroleum Science 2024年第1期21卷 430-444页

作者： Yu-Ning Yong Zhao-quan Guo Shou-Ceng tian Lu-Yao Ma tian-Yu Wang Mao Sheng National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China Beijing Petroleum Machinery Company Limited CNPC Engineering Technology R&D Company LimitedBeijing102206China Smart Energy Co. LtdChina Xiongan GroupXiong’an New Area071000HebeiChina

Radial borehole fracturing that combines radial boreholes with hydraulic fracturing is anticipated to improve the output of tight oil and gas reservoirs.This paper aims to investigate fracture propagation and pressure characteristics of radial borehole fracturing in multiple layers.A series of laboratory experiments with artificial rock samples(395 mm×395 mm×395 mm)was conducted using a true triaxial fracturing device.Three crucial factors corresponding to the vertical distance of adjacent radial borehole layers(vertical distance),the azimuth and diameter of the radial borehole are examined.Experimental results show that radial borehole fracturing in multiple layers generates diverse fracture geometries.Four types of fractures are identified based on the connectivity between hydraulic fractures and radial boreholes.The vertical distance significantly influences fracture propagation perpendicular to the radial borehole axis.An increase in the vertical distance impedes fracture connection across multiple radial borehole layers and reduces the fracture propagation distance along the radial borehole axis.The azimuth also influences fracture propagation along the radial borehole axis.Increasing the azimuth reduces the guiding ability of radial boreholes,which makes the fracture quickly curve to the maximum horizontal stress direction.The breakdown pressure correlates with diverse fracture geometries observed.When the fractures connect multi-layer radial boreholes,increasing the vertical distance decreases the breakdown pressure.Decreasing the azimuth and increasing the diameter also decrease the breakdown pressure.The extrusion force exists between the adjacent fractures generated in radial boreholes in multiple rows,which plays a crucial role in enhancing the guiding ability of radial boreholes and results in higher breakdown pressure.The research provides valuable theoretical insights for the field application of radial borehole fracturing technology in tight oil and gas reservoirs.

关键词： Multi-layer radial boreholes Hydraulic fracturing Fracture propagation Pressure characteristic

Small-diameter acellular porcine corneal stroma for peripheral corneal ulceration treatment

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International Journal of Ophthalmology(English edition) 2024年第5期17卷 831-837页

作者： tian liang Xia Wang Jie Wu Yan Cheng Department of Ophthalmology Xi’an No.1 HospitalXi’an 710002Shaanxi ProvinceChina

AIM:To evaluate the clinical efficacy of small-diameter acellular porcine corneal stroma(SAPS)for the treatment of peripheral corneal ulceration(PCU).METHODS:This retrospective clinical study included 18 patients(18 eyes)with PCU between April 2018 and December 2020.All patients had PCU and underwent lamellar keratoplasty with SAPS.Observation indicators included preoperative and postoperative best-corrected visual acuity(BCVA)and transparency of SAPS.The infection control rate in the surgical eye-lesion area was also calculated.RESULTS:Eighteen patients underwent lamellar keratoplasty with SAPS to treat PCU.None of the patients experienced rejection after 6mo(18/18)and 12mo(16/16)of follow-up.The BCVA(0.47±0.30)at the 6mo followup after operation was significantly improved compared with the baseline(0.99±0.80),and the difference was statistically significant(Z=-3.415,P<0.05).The BCVA at the 12mo follow-up after operation was not statistically significant compared to the 6mo(Z=0,P=1).With time,the SAPS graft gradually became transparent.At the 6mo(18/18)and 12mo(16/16)follow-up,none of the patients had recurrent corneal infection.CONCLUSION:SAPS is clinically effective in the treatment of PCU,improving the patient’s BCVA and reducing the incidence of rejection after keratoplasty.

关键词： acellular porcine corneal stroma lamellar keratoplasty infectious corneal ulcer

Harness High-Temperature Thermal Energy via Elastic Thermoelectric Aerogels

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Nano-Micro Letters 2024年第8期16卷 196-210页

作者： Hongxiong Li Zhaofu Ding quan Zhou Jun Chen Zhuoxin Liu Chunyu Du Lirong liang Guangming Chen College of Materials Science and Engineering Shenzhen UniversityShenzhen 518055People’s Republic of China Department of Bioengineering University of CaliforniaLos AngelesCA 90095USA

Despite notable progress in thermoelectric(TE)materials and devices,developing TE aerogels with high-temperature resistance,superior TE performance and excellent elasticity to enable self-powered high-temperature monitoring/warning in industrial and wearable applications remains a great challenge.Herein,a highly elastic,flame-retardant and high-temperature-resistant TE aerogel,made of poly(3,4-ethylene dioxythiophene):poly(styrenesulfonate)/single-walled carbon nanotube(PEDOT:PSS/SWCNT)composites,has been fabricated,displaying attractive compression-induced power factor enhancement.The as-fabricated sensors with the aerogel can achieve accurately pressure stimuli detection and wide temperature range monitoring.Subsequently,a flexible TE generator is assembled,consisting of 25 aerogels connected in series,capable of delivering a maximum output power of 400μW when subjected to a temperature difference of 300 K.This demonstrates its outstanding high-temperature heat harvesting capability and promising application prospects for real-time temperature monitoring on industrial high-temperature pipelines.Moreover,the designed self-powered wearable sensing glove can realize precise wide-range temperature detection,high-temperature warning and accurate recognition of human hand gestures.The aerogel-based intelligent wearable sensing system developed for firefighters demonstrates the desired self-powered and highly sensitive high-temperature fire warning capability.Benefitting from these desirable properties,the elastic and high-temperature-resistant aerogels present various promising applications including self-powered high-temperature monitoring,industrial overheat warning,waste heat energy recycling and even wearable healthcare.

关键词： Thermoelectrics Aerogel Self-powered High-temperature monitoring High-temperature warning

APTAnet: an atom-level peptide-TCR interaction affinity prediction model

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Biophysics Reports 2024年第1期10卷 1-14页

作者： Peng Xiong Anyi liang Xunhui Cai tian Xia School of Artificial Intelligence and Automation Huazhong University of Science and Technology Institute of Pathology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology

The prediction of affinity between TCRs and peptides is crucial for the further development of TIL(Tumor-Infiltrating Lymphocytes) immunotherapy. Inspired by the broader research of drug-protein interaction(DPI), we propose an atom-level peptide-TCR interaction(PTI) affinity prediction model APTAnet using natural language processing methods. APTAnet model achieved an average ROC-AUC and PR-AUC of 0.893 and 0.877, respectively, in ten-fold cross-validation on 25,675 pairs of PTI data.Furthermore, experimental results on an independent test set from the McPAS database showed that APTAnet outperformed the current mainstream models. Finally, through the validation on 11 cases of real tumor patient data, we found that the APTAnet model can effectively identify tumor peptides and screen tumor-specific TCRs.

关键词： Immunotherapy TCR Antigen Natural language processing Transfer learning