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Endocrinology and Metabolic Disease

Recombinant protein

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Recombinant protein	1

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LEAP2(liver enriched antimicrobial peptide 2)	1

Constructing photocatalysts for the stable and efficient production of NH₃ is of excellent research significance and challenging. In this paper, the electron acceptor 5-amino-1,10-phenanthroline (AP) is introduced into the electron-donor graphitic carbon nitride (CN) framework by a simple heated copolymerization method to construct a donor-acceptor (D-A) structure. Subsequently, the phenanthroline unit is coordinated with transition metal Fe³⁺ ions to obtain the photocatalyst Fe(III)-0.5-AP-CN with better nitrogen fixation performance, and the average NH₃ yield can reach 825.3 μmol g^-1 h^-1. Comprehensive experimental results and theoretical calculations show that the presence of the D-A structure can induce intramolecular charge transfer, effectively separating photogenerated electrons and holes. The Fe active sites can improve the chemisorption energy for N₂, enhance the N-Fe bonding, and better activate the N₂ molecule. Therefore, the synergistic effect between the construction of the D-A structure and the stably dispersed Fe active sites can enable CN to achieve high-performance N₂ reduction to produce NH₃.

01 Jan 2025·Catalysis Today

Integration of bio-JP-10 synthetic route from furfuryl alcohol

Author: Li, Guangyi ; Wang, Aiqin ; Yu, Hailu ; Zhang, Xing ; Xing, Lianqi ; Li, Ning ; Wang, Wei ; Zhao, Zhitong

In recent years, numerous methods have been reported for the preparation of bio-jet fuel.However, the cost remained the most vital determinant for the practical application of these methods.In 2019, our research team reported a synthetic process for bio-JP-10 fuel.It was suggested the production cost of bio-JP-10 fuel can be greatly reduced to $2547/ton that is significantly lower than the market price (∼7091 US$/ton) of fossil energy-based JP-10 fuel.However, energy consumption constituted as much as 42 % of the bio-JP-10 fuel production cost.In the present work, the initial 1,3-cyclopentanediol concentration in the dehydration step of the original route was amplified by six-fold by the optimization of solvent.Upon further optimization of reaction conditions, higher than 80 % cyclopentadiene carbon yields were achieved.Furthermore, a tandem reaction process involving the dehydration, Diels-Alder reaction and hydrogenation steps was developed, eliminating the need to sep. the products.Both innovations considerably enhanced the production efficiency of bio-JP-10 fuel.Following the process simulation and energy balance of Aspen Plus 11, the energy consumption cost of bio-JP-10 fuel can be reduced by 67 %.

01 Jan 2025·Separation and Purification Technology

Machine learning accelerates design of bilayer-modified graphene hydrogen storage materials

Author: Peng, Tiren ; Jia, Zepeng ; Bai, Xue ; Cui, Hong ; Song, Pei ; Jiang, Qi ; Feng, Rong ; Yuan, Hongkuan ; Lu, Sen ; Wang, Zhiguo ; Kang, Qin ; Tian, Weizhi ; Gao, Zhikai ; Liang, Zhiyong

To accelerate the exploration of modified graphene hydrogen storage materials, this paper proposes a Data-Driven Exploration Framework (DDEF) based on the best-fitting machine learning (ML) algorithms (Random Forest: Recall = 0.83, Accuracy = 0.83, Gradient boosted regression: R2 = 0.90, RMSE = 0.06) and d. functional theory (DFT).The hydrogen storage capacity of bilayer double-deficient graphene (BDG[Li]) doped with B atoms and modified with Li and Ti atoms was predicted using ML, which shortens the design cycle of hydrogen storage materials.The interlayer composite hydrogen storage mechanism of the BDG[Li] structure is revealed by electronic property anal.For the first time, the calculation method of the interlayer electrostatic force energy (Ej) is proposed, and the equation for calculating the interlayer H2 adsorption energy is optimized.The hydrogen storage data of BDG[Li] and the construction of Ej provide new feature data for subsequent ML calculationsBoth DDEF and Ej are computationally verified to have high accuracy and generalizability, which is of research significance for accelerating the design of hydrogen storage materials.

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Pipeline

Pipeline Snapshot as of 23 Nov 2024

The statistics for drugs in the Pipeline is the current organization and its subsidiaries are counted as organizations,Early Phase 1 is incorporated into Phase 1, Phase 1/2 is incorporated into phase 2, and phase 2/3 is incorporated into phase 3

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