PubMed · 15377004
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Hideo Arakawa. 2004. [Force spectroscopy].. https://pubmed.ncbi.nlm.nih.gov/15377004/
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An analytical method for simultaneous determination of erythromycin propionate and its active metabolite, erythromycin base, in human plasma by high-performance liquid chromatography-electrospray mass spectrometry (HPLC-ESI-MS) was developed and validated. Roxithromycin was selected as the internal standard. The samples were directly injected after simple deproteinized procedure only. The separation was achieved on a Johnson Spherigel analytical column packed with 5 microm C18 silica, employing acetonitrile -0.1% formic acid aqueous solution (50:50) as mobile phase. The quantification of target compounds was obtained by using a selected ion monitoring (SIM) at m/z 790.7 for erythromycin propionate, m/z 734.7 for erythromycin base and m/z 837.8 for roxithromycin. The correlation coefficients of the calibration curves were better than 0.997 (n=6), in the ranges from 2 ng/ml to 1 microg/ml, and from 1 to 10 microg/ml for erythromycin propionate and base. The method can provide the necessary sensitivity, precision and accuracy to allow the simultaneous determination of both compounds in a patient's plasma following a single administration of erythromycin stinoprate capsule (500 mg erythromycin base equivalent).
Roscovitine, a purine analogue that selectively inhibits cyclin-dependent kinases, has been considered as a potential anti-tumor drug. The determination of roscovitine in plasma and urine was performed using microextraction in packed syringe as on-line sample preparation method with liquid chromatography and tandem mass spectrometry. The sampling sorbent utilized was polystyrene polymer. 2H3-lidocaine was used as internal standard. The limit of detection for roscovitine was as low as 0.5 ng/mL and the lower limit of quantification was 1.0 ng/mL. The accuracy and precision values of quality control samples were between +/-15% and < or =11%, respectively. The calibration curve was obtained within the concentration range 0.5-2000 ng/mL in both plasma and urine. The regression correlation coefficients for plasma and urine samples were > or =0.999 for all runs. The present method is miniaturized and fully automated and can be used for pharmacokinetic and pharmacodynamic studies.
Total nitrogen, soluble nitrogen (SN), nonprotein nitrogen (NPN), and acid-detergent insoluble nitrogen (ADIN) were analyzed in grass silage by near-infrared (NIR) spectroscopy. A set of 144 samples was used to calibrate the instrument by modified partial least-squares regression, and the following statistical results were achieved: standard error of calibration (SEC) = 0.449 and square correlation coefficient (R (2)) = 0.98 for total nitrogen x 6.25, SEC = 0.425 and R (2) = 0.95 for SN x 6.25, SEC = 0.414 and R (2) = 0.94 for NPN x 6.25, and SEC = 0.139 and R (2) = 0.84 for ADIN x 6.25. To validate the calibration performed, a set of 48 silage samples was used. Standard errors of prediction were 0.76, 0.64, 0.63, and 0.25 for total nitrogen, SN, NPN, and ADIN (all of them multiplied by 6.25), respectively, and R (2) for the regression of measurements by reference method versus NIR analysis were 0.94, 0.92, 0.90, and 0.48 for total nitrogen, SN, NPN, and ADIN, respectively. To compare the results obtained by NIR spectroscopy with those obtained by the reference methods for total nitrogen, SN, and NPN of the validation set, linear regression and paired t tests were applied, and the results were not significantly different (p = 0.05). When mean square prediction error analysis was applied, it could be concluded that for total nitrogen, SN, and NPN, a robust calibration model was obtained and that the main error was unexplained error. Statistical data for ADIN were worse than those of the other parameters; as a result NIR spectroscopy is not an effective method for quantitative analyses of ADIN in silage; nevertheless, it may be an acceptable method for semiquantitative evaluation.