A simple, rapid, specific and sensitive liquid chromatography tandem mass spectrometric method has been developed and validated for the determination of doxycycline from the human plasma. Doxycycline is extracted from human plasma by solid phase extraction. Demeclocycline was used as an internal standard. Detection was performed at transitions of 444.800→428.200 for doxycycline and 464.700→448.100 for demeclocycline using mass spectrometry. Chromatographic separation of analyte and internal standard were carried out using a reverse phase C18, column at 0.500 ml/min flow. The assay of doxycycline is linear over the range of 0.055-7.612 μg/ml, with a precision <14.83%, regression coefficient (r2)=0.9961 and the limit of quantification in plasma for doxycycline was 0.055 μg/ml. Mean extraction recovery obtained was 95.55%. Samples are stable at room temperature for 6 h, processed samples were stable at least for 30.20 h and also stable at three freeze-thaw cycles. The method has been used to perform pharmacokinetic and bioequivalence studies in human plasma.
By demanding authentication exercises for example communications, electronic cash frameworks, plate encryption, the cryptographic frameworks have become a core aspect in our daily lives. Random numbers are an significant factor in strengthening and anchoring the protection of e-mail messages used in multiple encryption applications, including key ages, encryption, convention coverage, web wagering. Random flight numbers for basic mystery keys are basic to the protection of criphotographical calculations. In a variety of cryptographic systems, actual random number generators (TRNGs), The part has been incorporated, including PIN / secret word age, validation agreements, key age, random cushions and age of nunce. The circuit uses an undetermined random mechanism as a fundamental source, largely as electric commotion. Programmable field door arrays (FPGAs) are the optimal stage for the success of equipment that offers substantial safety conditions. The TRNG suggested is subject to the Xilinx-FPGA Bit Recurrence Recognition Guideline.
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