Search alternatives:
quantification » identification (Expand Search)
Showing 341 - 360 results of 981 for search 'materials quantification', query time: 0.09s Refine Results
  1. 341
  2. 342
  3. 343
  4. 344
  5. 345
  6. 346
  7. 347
  8. 348

    Conjugation Strategies for Low Solubility Proteins to Single‐Walled Carbon Nanotubes as a Sensitive Fluorescent Assay to Protease Activity by Sepehr Hejazi, Nabila Masud, Md. Hasibul Hasan Hasib, Cole Bertrand, Anwesha Sarkar, Nigel F Reuel

    Published 2025-04-01
    “…ECM degrading enzymes caused a fluorescent intensity decrease of the SWCNT probes, enabling quantification of enzyme concentration between the range 160 ng ml−1 to 100 µg ml−1 within 5 minutes of reaction. …”
    Get full text
    Article
  9. 349
  10. 350

    Identification of metastable lattice distortion free charge density wave at photoinduced interface via TRARPES by Shaofeng Duan, Binshuo Zhang, Zihao Wang, Shichong Wang, Lingxiao Gu, Haoran Liu, Jiongyu Huang, Jianzhe Liu, Dong Qian, Yanfeng Guo, Wentao Zhang

    Published 2025-02-01
    “…Abstract The interplay between different degrees of freedom governs the emergence of correlated electronic states in quantum materials, with charge density waves (CDW) often coexisting with other exotic phases. …”
    Get full text
    Article
  11. 351
  12. 352
  13. 353
  14. 354
  15. 355
  16. 356

    Biodegradability of SCOBY-derived bacterial cellulose affected by purification methods by Diego Gomez-Maldonado, Diego González Rodríguez, Mireya Valdés Rivera, Mariana Zerón Pontones, Edgar Ulin, Gabriel Vigueras-Ramírez, Maribel Hernández-Guerrero

    Published 2025-01-01
    “…The mounting demand for sustainable biopolymers has prompted extensive research on bacterial cellulose (BC) as a prospective material for biomedical, food, and packaging applications. …”
    Get full text
    Article
  17. 357

    Predicting mechanical properties of low-alloy steels using features extracted from Electron Backscatter Diffraction characterization by Yu Li, Jingxiao Zhao, Xiucheng Li, Zhao Xing, Qiqiang Duan, Xiaojun Liang, Xuemin Wang

    Published 2024-11-01
    “…Machine learning (ML) approaches have recently been increasingly employed to establish quantitative relationships between material composition, processing, microstructure, and properties. …”
    Get full text
    Article
  18. 358
  19. 359
  20. 360