Showing 361 - 380 results of 4,095 for search '"spectroscopy"', query time: 0.08s Refine Results
  1. 361
  2. 362
  3. 363

    Sulfur Speciation in the Surface Sediments of Lakes from Different Regions, China: Characterization by S K-Edge XANES Spectroscopy by Wang Jingfu, Chen Jingan, Dai Zhihui, Yang Haiquan, Ma Chenyan

    Published 2016-01-01
    “…X-ray absorption near edge structure (XANES) spectroscopy affords the opportunity to determine redox status for element S in the aquatic ecosystems. …”
    Get full text
    Article
  4. 364
  5. 365

    Adsorption of Saliva Related Protein on Denture Materials: An X-Ray Photoelectron Spectroscopy and Quartz Crystal Microbalance Study by Akiko Miyake, Satoshi Komasa, Yoshiya Hashimoto, Yutaka Komasa, Joji Okazaki

    Published 2016-01-01
    “…The aim of this study was to evaluate the difference in the adsorption behavior of different types of bovine salivary proteins on the PMMA and Ti QCM sensors are fabricated by spin-coating and sputtering onto bare QCM sensors by using QCM and X-ray photoelectron spectroscopy (XPS). SPM, XPS, and contact angle investigations were carried out to determine the chemical composition and surface wettability of the QCM surface. …”
    Get full text
    Article
  6. 366
  7. 367
  8. 368
  9. 369
  10. 370
  11. 371
  12. 372
  13. 373
  14. 374
  15. 375
  16. 376
  17. 377
  18. 378

    Quantitative Analysis of Total Petroleum Hydrocarbons in Soils: Comparison between Reflectance Spectroscopy and Solvent Extraction by 3 Certified Laboratories by Guy Schwartz, Eyal Ben-Dor, Gil Eshel

    Published 2012-01-01
    “…This study’s main goal was to evaluate reflectance spectroscopy as a tool for TPH assessment, as compared with three commercial certified laboratories using traditional methods. …”
    Get full text
    Article
  19. 379

    Near-Infrared Spectroscopy Combined with Multivariate Calibration to Predict the Yield of Sesame Oil Produced by Traditional Aqueous Extraction Process by Yong-Dong Xu, Yan-Ping Zhou, Jing Chen

    Published 2017-01-01
    “…This paper developed a rapid and nondestructive method to predict the sesame oil yield by TAEP using near-infrared (NIR) spectroscopy. A collection of 145 sesame seed samples was measured by NIR spectroscopy and the relationship between the TAEP oil yield and the spectra was modeled by least-squares support vector machine (LS-SVM). …”
    Get full text
    Article
  20. 380