Results 201 to 210 of about 236,480 (311)

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Harnessing Postbiotics to Boost Chemotherapy: N-Acetylcysteine and Tetrahydro β-Carboline Carboxylic Acid as Potentiators in Pancreatic and Colorectal Cancer. [PDF]

Cancers (Basel)
Rodriguez V, Villani A, Sénica M, Panebianco C, Pazienza V, Preto A.   +5 more
europepmc   +1 more source

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Carboxylic Acids

Rupali D Shinde, Shivani S Chauhan, Harikrushn G Kakadiya, Sukalyan Bhadra   +3 more
openaire   +2 more sources

Carboxylic Acid Production from Organic Waste: Integrating Substrate Composition, Reactor Configuration, Inoculum, and Future Perspectives. [PDF]

BioTech (Basel)
Thapa A, Fu S, Sebastian J, Basu O, Hosseinian F, Sharma U, Sharma D, Hussain A.   +7 more
europepmc   +1 more source

Lipoic Acid‐Intervened Decellularized Stem Cell Spheroid‐Based Injectable Granular Gel for Diabetic Tissue Regeneration

Advanced Science, EarlyView.
ABSTRACT Advancements in tissue engineering have revolutionized therapeutic paradigms for diabetic tissue defects; however, the lack of applicable scaffold containing various bioactive substance aggregates remained a critical bottleneck hindering satisfactory repair effect.
Tao Wang, Haowei Fang, Lili Qi, Song Myoungseop, Aawrish Khan, Lunli Gong, Guangdong Zhou, Kunxi Zhang, Haiyan Cui   +8 more
wiley   +1 more source

Rational design and synthesis of new acetamide-indole-benzo[d]imidazole-carboxylic acid hybrids as dual PTP1B/α-glucosidase inhibitors. [PDF]

RSC Adv
Dastyafteh N, Ghafouri SN, Mollazadeh M, Motamedi Shakib N, Halimi M, Hosseini S, Mojtabavi S, Faramarzi MA, Larijani B, Amanlou M, Mohammadi-Khanaposhtani M, Mahdavi M.   +11 more
europepmc   +1 more source

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

Advanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu, Hongmin Liu, Long Fan, Huakun Liu, Shixue Dou, Guoxiu Wang, Nana Wang, Zhongchao Bai   +7 more
wiley   +1 more source

Synthesis of 1,2,3,4-Tetrahydroisoquinoline-3-Carboxylic Acid-Embedded Decapeptides: In Silico Studies and In Vitro Evaluation Against Breast Cancer. [PDF]

ChemistryOpen
Tivari S, Lalani N, Bagwe P, Chandole P, Pawar R, Delgado-Alvarado E, Ghnaim AO, Jadeja Y.   +7 more
europepmc   +1 more source

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source