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Small molecule drug	2

To achieve the full utilization of excess Enteromorpha resources and the effective oxidation of organic contaminants from water, the FeCu composite nanoparticles encapsulated by N-doped graphene layers were produced via the thermal treatment of Enteromorpha-supported urea and metal ions, and used the materials to activate peroxymonosulfate (PMS) for RhB (Rhodamine B) oxidationAn appropriate iron-to-copper ratio is instrumental in enhancing the activation efficacy of the catalyst.The degradation percentage of 20 mg L^-1 RhB was almost 100 %, utilizing the ECN@Fe₂Cu of 0.1 g L^-1.Furthermore, ECN@Fe₂Cu exhibits excellent anti-interference properties, reusability, and robust stability throughout the catalytic process.The radical quenching experiment, EPR, and electrochem. tests demonstrate that the main reactive oxygen in ECN@Fe₂Cu/PMS/RhB system is ¹O₂.XPS indicated that Fe⁰, Fe₃C, Cu⁰, pyridinic N, and graphitic N doped in the carbon layer are the potential active sites.This work demonstrates that a high catalytic activity PMS activator can be produced by doping Fe/Cu/N with Enteromorpha.

01 Aug 2025·Fuel

In situ fabrication of defect-rich MoS2-x onto consecutive nanofibers to construct proton exchange membrane with enhanced direct methanol fuel cell performance

Author: Zeng, Zhiyong ; Wang, Jie ; Xia, Li ; Yang, Nannan ; Xu, Shenglan ; Cheng, Chuanjing ; Niu, Wenjuan ; Zhong, Fei ; Li, Ke ; Xu, Chuang ; Ding, Yu

It remains highly challenging to construct proton exchange membranes (PEMs) with high proton conductivity and low methanol permeability, as both proton and methanol are mainly transported through the hydrophilic region of PEMs.Here, we first designed novel ultrathin two-dimensional molybdenum disulfide nanosheets rich in sulfur vacancy defects anchored onto bacterial cellulose nanofiber surface (BC@MoS_2-x) via a one-step hydrothermal method, which were then embedded in sulfonated poly (ether ether ketone) (SPEEK) matrix to obtain high-performance composite PEMs (SPEEK/BC@MoS_2-x) with a consecutive and orderly arrangement of MoS_2-x.SPEEK/BC@MoS_2-x exhibited a proton conductivity of 0.132 S cm^-1 (80 °C, 100 % RH) and methanol permeability of 31.15 x 10^-7 cm² s^-1.Such superior performance can be attributed to the interconnected hydrophilic BC@MoS_2-x nanofiber structure, which provides consecutive proton transfer channels to allow easy proton transfer through the hydration channels, as well as a 3D nanofiber network structure to result in more tortuous penetration of methanol.In addition, the robust and continuous nanofiber network of BC@MoS_2-x can support the composite membrane to promote the thermal dimensional stability and mech. properties.Overall, this study provides a novel method for the preparation of high-performance PEMs for direct methanol fuel cells.

01 Jul 2025·Chemometrics and Intelligent Laboratory Systems

State-of-the-art review on applications of various machine learning models in biodiesel production

Author: Xuan, Wenjing ; Liu, Aimei ; Xiao, Yongjun

Recent advances in Artificial Intelligence (AI) have significantly influenced biodiesel production as a renewable source of energy, primarily through the enhancement of transesterification reactions and yield optimization.This review summarizes key findings from multiple studies on optimization of biodiesel production from biomass using machine learning models.This review analyzes various machine learning models and optimization techniques used for biodiesel productionSeveral optimization strategies, including evolutionary algorithms and heuristic methods, are explored across different studies.Among the models evaluated, those employing advanced configurations and ensemble techniques demonstrated superior performance in accuracy and correlation with biodiesel datasets.Particularly, enhanced versions of neural networks, extreme learning models, and fuzzy systems emerged as top performers, offering robust solutions for biodiesel optimization.Findings suggest that machine learning not only augments traditional catalyst development and yield prediction methods but also offers a consolidated framework enhancing overall process efficiency.This work intends to offer an extensive examination of the present status and forthcoming prospects of Artificial Intelligence applications in biodiesel production, synthesizing a broad range of contemporary useful literature.

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Pipeline

Pipeline Snapshot as of 07 Nov 2025

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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