Search alternatives:
material » materials (Expand Search)
quantification » identification (Expand Search)
Showing 101 - 120 results of 981 for search 'material quantification', query time: 0.16s Refine Results
  1. 101

    Digital PCR outperforms quantitative real-time PCR for the detection and quantification of major periodontal pathobionts by Haris Munjaković, Katja Povšič, Mario Poljak, Katja Seme, Rok Gašperšič, Lucijan Skubic

    Published 2025-12-01
    “…Background This study comparatively evaluated the analytical and diagnostic performance of a multiplex digital polymerase-chain reaction (dPCR) assay and a quantitative real-time PCR (qPCR) for the simultaneous detection and quantification of periodontal pathobionts: Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans, and Fusobacterium nucleatum.Materials and Methods Subgingival plaque samples from 20 periodontitis patients and 20 periodontally healthy controls were analyzed. …”
    Get full text
    Article
  2. 102

    DEVELOPMENT AND VALIDATION OF A NEW RP-HPLC METHOD FOR SIMULTANEOUS DETERMINATION AND QUANTIFICATION OF SOFOSBUVIR AND DACLATASVIR by Syed Hassan Murtaza, Ahmed Umer Sohaib Ahmed, Tassawer-e-Meran, Sonam Anees, Najam-ul-Hassan Khan, Kishwar Sultana

    Published 2024-03-01
    “…This method is successfully applied for raw materials as well as in combination tablets. This method may also be applied for the quantification of sofosbuvir and daclatasvir in blood samples of patients taking these two antivirals for hepatitis C treatment. …”
    Get full text
    Article
  3. 103

    Diagnostic value of Epstein – Barr virus DNA quantification in blood leukocytes in children with infectious mononucleosis by M. I. Popkova, E. N. Filatova, E. A. Soboleva, D. A. Bryzgalova, E. A. Kulova, N. A. Sakharnov, O. V. Utkin

    Published 2022-07-01
    “…To determine the threshold value of the Epstein-Barr virus (EBV) viral load (VL) in blood leukocytes to improve the laboratory diagnostics of infectious mononucleosis in children.Materials and methods. EBV DNA quantification in blood leukocytes in children aged 1-17 years (n=163) was determined by real-time polymerase chain reaction. …”
    Get full text
    Article
  4. 104
  5. 105

    Development and Validation of Sibutramine Determination in Drug Products by Capillary Electrophoresis by A. M. Sukhanova, I. B. Perova, K. I. Eller, G. M. Rodionova, S. V. Chernova, V. N. Kuzina

    Published 2020-11-01
    “…To develop and validate a methodology for the determination of sibutramine in drugs by capillary electrophoresis (CE) using an ultraviolet diode array detector.Materials and methods. Quantitative determination of sibutramine in drugs was carried out using the CE method with an ultraviolet diode array detector. …”
    Get full text
    Article
  6. 106

    Comparing miR-16 and miR-1228 as an optimal endogenous control for quantification of circulating microRNAs in colorectal cancer patients by Chia-Lin Yang, Fu-Ming Tsai, Chuang-Wei Chen, Kuan-Hong Hsiao, Jia-Hui Chen, Woei-Yau Kao

    Published 2022-01-01
    “…Materials and Methods: The cel-miR-39 was a spiked-in RNA used as an external control and added to plasma samples before RNA extraction. …”
    Get full text
    Article
  7. 107
  8. 108
  9. 109

    Quantification of Glucosinolates in Seeds by Solid-State <sup>13</sup>C-Nuclear Magnetic Resonance (NMR) by Stefania Mazzini, Marco Zuccolo, Angela Bassoli, Claudio Gardana, Gigliola Borgonovo

    Published 2025-06-01
    “…In this study, we evaluated solid-state nuclear magnetic resonance spectroscopy as an alternative method for the identification and quantification of total glucosinolates in the seeds of <i>Sisymbrium officinale</i>, <i>Brassica napus</i>, <i>Sinapis alba</i>, <i>Brassica nigra</i>, and <i>Moringa oleifera</i>. …”
    Get full text
    Article
  10. 110
  11. 111
  12. 112
  13. 113
  14. 114
  15. 115
  16. 116
  17. 117

    Automated Deep Learning Based Cardiac Quantification in Hypertrophic Cardiomyopathy: A Comparative Study with Manual Segmentation by Shivam Angiras, Deb Kumar Boruah, Pranjal Phukan, Kalyan Sarma, Prince Das, Rajeev Bharadwaj, Harshit Jain, Ajmal Roshan

    Published 2025-08-01
    “…Recently, Deep Learning (DL) algorithms have emerged to automate cardiac quantification, but their performance in complex pathologies such as HCM still requires validation.Purpose: To compare the performance of a fully automated deep learning-based cardiac segmentation software (SW 2) (SuiteHEART) with conventional manual segmentation (SW 1) (syngo.Via) for quantifying crucial cardiac parameters in patients with HCM.Materials and Methods: In this prospective study, 25 consecutive adult patients (mean age 49±12 years) with HCM referred for CMR at our institute were included. …”
    Get full text
    Article
  18. 118
  19. 119
  20. 120