Simple and sensitive method development and validation of Econazole in human plasma by RP-HPLC

A simple and accurate method was developed for the validation of the Econazole using Fluconazole as internal standard with short time of 10 minutes .Optimization of chromatography technique was used during the preparation of this analysis.  The method carried out using reversed phase of HPLC. Chromatography using Phenomenex Luna C18 Column (250mm x 4.6mm i.d, 5µm) as the stationary phase and mobile phase of solvent A and B of 0.5% Triethylamine at pH 6.5 and Acetonitrile at pH 3.5. Wavelength was fixed at 260nm and flow rate at 0.6mL/min. Validation studies was achieved by using the fundamental parameters, including accuracy, precision, selectivity, sensitivity, linearity and range, stability studies, limit of detection (LOD) and limit of quantitation (LOQ). Retention time obtained for Econazole and Fluconazole are 7.7 minutes and 5.18 minutes. It shows recovery at 93.5% which is more precise and accurate compared to the other Econazole method. Hence, a simple and accurate method of validation of Econazole in drug free plasma was developed and validated

Simple and sensitive method development and validation of Econazole in human plasma by RP-HPLC

A simple and accurate method was developed for the validation of the Econazole using Fluconazole as internal standard with short time of 10 minutes .Optimization of chromatography technique was used during the preparation of this analysis.  The method carried out using reversed phase of HPLC. Chromatography using Phenomenex Luna C18 Column (250mm x 4.6mm i.d, 5µm) as the stationary phase and mobile phase of solvent A and B of 0.5% Triethylamine at pH 6.5 and Acetonitrile at pH 3.5. Wavelength was fixed at 260nm and flow rate at 0.6mL/min. Validation studies was achieved by using the fundamental parameters, including accuracy, precision, selectivity, sensitivity, linearity and range, stability studies, limit of detection (LOD) and limit of quantitation (LOQ). Retention time obtained for Econazole and Fluconazole are 7.7 minutes and 5.18 minutes. It shows recovery at 93.5% which is more precise and accurate compared to the other Econazole method. Hence, a simple and accurate method of validation of Econazole in drug free plasma was developed and validated

KAEMPFEROL, A FLAVONOID COMPOUND FROM GYNURA MEDICA INDUCED APOPTOSIS AND GROWTH INHIBITION IN MCF-7 BREAST CANCER CELL

Background: Kaempferol, a natural flavonoid, has been shown to induce cancer cell apoptosis and cell growth inhibition in several tumors. Previously we have conducted a full investigation on the chemical constituents of Gynura medica, kaempferol and its glycosides are the major constituents of G. medica. Here we investigated the growth inhibition and apoptosis induction effect of kaempferol extracted from G. medica. Materials and Methods: The inhibition effects of kaempferol were evaluated by MTS assay and soft agar colony formation assay. Fluorescence staining and western blotting were be used to study the apoptosis. The structure was identified by 1H- NMR), 13C-NMR and ESI-MS analyses. Results: Our results showed that kaempferol’s inhibition of MCF-7 breast cancer cell growth may through inducing apoptosis and downregulation of Bcl2 expression. Conclusion: Kaempferol is a promising cancer preventive and therapeutic agent for breast cancer

An Updated Search of Steady TeV γ−\gamma-Ray Point Sources in Northern Hemisphere Using the Tibet Air Shower Array

Using the data taken from Tibet II High Density (HD) Array (1997 February-1999 September) and Tibet-III array (1999 November-2005 November), our previous northern sky survey for TeV $\gamma-$ray point sources has now been updated by a factor of 2.8 improved statistics. From $0.0^{\circ}$ to $60.0^{\circ}$ in declination (Dec) range, no new TeV $\gamma-$ray point sources with sufficiently high significance were identified while the well-known Crab Nebula and Mrk421 remain to be the brightest TeV $\gamma-$ray sources within the field of view of the Tibet air shower array. Based on the currently available data and at the 90% confidence level (C.L.), the flux upper limits for different power law index assumption are re-derived, which are approximately improved by 1.7 times as compared with our previous reported limits.Comment: This paper has been accepted by hepn

A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring

ObjectiveNon-invasive methods for hemoglobin (Hb) monitoring can provide additional and relatively precise information between invasive measurements of Hb to help doctors' decision-making. We aimed to develop a new method for Hb monitoring based on mask R-CNN and MobileNetV3 with eye images as input.MethodsSurgical patients from our center were enrolled. After image acquisition and pre-processing, the eye images, the manually selected palpebral conjunctiva, and features extracted, respectively, from the two kinds of images were used as inputs. A combination of feature engineering and regression, solely MobileNetV3, and a combination of mask R-CNN and MobileNetV3 were applied for model development. The model's performance was evaluated using metrics such as R2, explained variance score (EVS), and mean absolute error (MAE).ResultsA total of 1,065 original images were analyzed. The model's performance based on the combination of mask R-CNN and MobileNetV3 using the eye images achieved an R2, EVS, and MAE of 0.503 (95% CI, 0.499–0.507), 0.518 (95% CI, 0.515–0.522) and 1.6 g/dL (95% CI, 1.6–1.6 g/dL), which was similar to that based on MobileNetV3 using the manually selected palpebral conjunctiva images (R2: 0.509, EVS:0.516, MAE:1.6 g/dL).ConclusionWe developed a new and automatic method for Hb monitoring to help medical staffs' decision-making with high efficiency, especially in cases of disaster rescue, casualty transport, and so on