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End-to-end dataflow engineering framework of honey manufacturing from intermediates to process by TAS1R2@AuNPs/SPCE biosensor coupled with quality transfer principle
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作者 Xiaoyan Hu Jingqi Zeng +4 位作者 Lijuan M Xiaomeng Wang Jing Du Lu Yao Zhisheng Wu 《Fundamental Research》 2025年第1期407-418,共12页
This study reported an original end-to-end dataflow engineering framework for the quality transfer principle to overcome the quality challenges in real-world honey manufacturing.Firstly,650 pivotal data points of phys... This study reported an original end-to-end dataflow engineering framework for the quality transfer principle to overcome the quality challenges in real-world honey manufacturing.Firstly,650 pivotal data points of physical and chemical quality attributes from 65 batches of honey intermediates were characterized through multiple sensors,which included rheological properties,acidity,moisture,and sugars.Furthermore,a hypersensitized TAS1R2@AuNPs/SPCE biosensor was developed to identify biological quality attributes of honey,the powerful affinities between honey intermediates and the TAS1R2 receptor were discovered(KD<1×10^(−8)M),and the abnormal batches of B2,B23 and C23 were diagnosed by TAS1R2@AuNPs/SPCE biosensor and multivariable algorithm.Finally,the end-to-end dataflow containing physical,chemical and biological critical quality attributes was successfully established to interpret the quality transfer principle of honey manufacturing,which revealed that the front-end refining process was relatively unstable and the back-end refining process was a negligible influence on the quality of honey manufacturing.This framework embraces quality management,quality transfer,and biosensor information,which will contribute to discovering the quality transfer principle in industrial innovation for intelligent manufacturing. 展开更多
关键词 End-to-end dataflow quality transfer principle Critical quality attributes BIOSENSOR Honey manufacturing
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Controlling interfacial adhesion during the transfer of large-area 2D materials:mechanisms,strategies,and research advances
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作者 HU Rong SONG Jia +4 位作者 HUANG Wei ZHOU An-na LIN Jia-long CAO Yang HU Sheng 《新型炭材料(中英文)》 北大核心 2025年第3期553-583,共31页
Large-area two-dimensional(2D)materials,such as graphene,MoS_(2),WS_(2),h-BN,black phosphorus,and MXenes,are a class of advanced materials with many possible applications.Different applications need different substrat... Large-area two-dimensional(2D)materials,such as graphene,MoS_(2),WS_(2),h-BN,black phosphorus,and MXenes,are a class of advanced materials with many possible applications.Different applications need different substrates,and each substrate may need a different way of transferring the 2D material onto it.Problems such as local stress concentrations,an uneven surface tension,inconsistent adhesion,mechanical damage and contamination during the transfer can adversely affect the quality and properties of the transferred material.Therefore,how to improve the integrity,flatness and cleanness of large area 2D materials is a challenge.In order to achieve high-quality transfer,the main concern is to control the interface adhesion between the substrate,the 2D material and the transfer medium.This review focuses on this topic,and finally,in order to promote the industrial use of large area 2D materials,provides a recipe for this transfer process based on the requirements of the application,and points out the current problems and directions for future development. 展开更多
关键词 2D materials GRAPHENE LARGE-AREA Interfacial adhesion modulation High quality transfer
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Thermal Assessment of a Differentially Heated Nanofluid-Filled Cavity Containing an Obstacle
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作者 Abdelilah Makaoui El Bachir Lahmer +2 位作者 Jaouad Benhamou Mohammed Amine Moussaoui Ahmed Mezrhab 《Frontiers in Heat and Mass Transfer》 2025年第1期207-230,共24页
This study focuses on numerically investigating thermal behavior within a differentially heated cavity filled with nanofluid with and without obstacles.Numerical comparison with previous studies proves the consistency... This study focuses on numerically investigating thermal behavior within a differentially heated cavity filled with nanofluid with and without obstacles.Numerical comparison with previous studies proves the consistency and efficacy of the lattice Boltzmann method associated with a single relaxation time and its possibility of studying the nanofluid and heat transfer with high accuracy.Key parameters,including nanoparticle type and concentration,Rayleigh number,fluid basis,and obstacle position and dimension,were examined to identify optimal conditions for enhancing heat transfer quality.Principal findings indicated that increasing the Rayleigh number boosts buoyancy forces and alters vortex structure,improving the heat transfer efficiency across all nanofluid configu-rations.Moreover,nanoparticles with higher thermal conductivity,particularly Cu nanoparticles,exhibit slight improvements in heat transfer quality compared to Al2O3 nanoparticles,while higher nanoparticle concentrations generally lead to enhanced heat transfer effectiveness.Water-Cu nanofluids also demonstrate superior heat transfer performance over ethylene glycol-Cu nanofluids.Furthermore,the presence of obstacles at cavity extremities hampers overall heat transfer,whereas those positioned centrally augment heat exchange rates.This research offers valuable insights into optimizing convective heat transfer in nanofluid-filled cavities crucial for various engineering applications. 展开更多
关键词 Nanofluid flow heat transfer quality lattice Boltzmann method nanoparticles differentially heated cavity
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