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Abstract The present study entails the systematic development and validation of a stability-indicating RP-HPLC method for the analysis of sitagliptin and ertugliflozin in a fixed-dose combination. Analytical quality by design (AQbD) concepts were used to define critical method variables, employing Pareto risk assessment and a Placket-Burman screening design, preceded by a Box-Behnken design with response surface analysis to optimise critical method parameters such as % acetonitrile (X1), buffer pH (X2) and column oven temperature (X3). Multiple response optimisation (Derringer’s desirability) of variables was accomplished by studying critical analytical attributes, such as resolution, retention time and theoretical plates. The title analytes were separated effectively on a PRONTOSIL C18 column at 37 °C using a mobile phase of acetonitrile:acetate buffer, pH 4.4 (36:64 percent v/v), pumped at a flow rate of 1 mL/min, and UV detection at 225 nm. Linearity was observed over a concentration range of 25-150 µg/mL and 3.75-22.5 µg/mL at retention times of 2.82 and 3.92 min for sitagliptin and ertugliflozin, respectively. The method obeyed all validation parameters of the ICH Q2(R1) guidelines. The proposed robust method allows the study of the selected drugs in pharmaceutical dosage forms as well as in drug stability studies under various stress conditions.

Popular IoT devices such as smartphones have dramatically enhance the network connection that has posed new unique security threats that calls for more developed security systems to protect connected systems. Thus, this research aims at comparing the performance of different machine learning algorithms that are K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Random Forest (RF), and Deep Neural Networks (DNN) to address the anomalies identification and IoT security improvement. These algorithms were used in the study to assess the IoT traffic and attack data set. This is due to the fact that results which were obtained proved that DNNs had the highest level of accuracy of about 97. 5%, RF with 93, Breast with 90 and GYN with 87. 2%, SVM with 89. 7% and K-Nearest Neighbors with 85%. 4%. While the DNN had a better accuracy than the other models, the model was more computationally intensive compared to the other one; RF is a good trade-off between accuracy and time. KNN while being computationally cheap had the lowest accuracy and higher FPR. Comparison of the proposed work with already published literature also validates that as the present day algorithms provide rudimentary level of security, this study reveals that enhancing and combining these techniques is essential to enhance real-time detection and robustness of the systems. This present research aims at adding to the existing literature on the subject of effective protection of IoT systems with adequate cybersecurity measures. [ABSTRACT FROM AUTHOR]

Ten natural dye yielding and two mordant plants were biochemically analyzed. Though natural dyes are widely used, information about the active principles responsible for dyeing is hardly available. In the present experiment, total chlorophyll, carotinoids, tannins, phenolics, flavonoids and curcumin were determined among the dye yielding plants, while K, S, P, Ca, Mg, Mn, Zn, Fe, Cu and Co were determined in the case of mordant plants. In Bixa orellana, used for yellow dyeing, the carotinoid content was 163.11 mg g-1 and in Clerodendrum chinense and Datura stramonium, which were used for green colouring, total chlorophyll content of 10.29 mg and 11.83 mg g-1 was recorded. Curcumin content responsible for orange colouring in Curcuma domestica was 27.7 mg g-1 while flavonoid content in Solanum nigrum and Terminalia chebula, which were used for brown, brown to black dyes was 24.89 and 21.73 mg g-1. Among the plants used for dyeing different colours, Punica granatum and Parkia timoriana were found to contain higher amounts of total phenols and bound phenols by recording 681.2 mg g-1 and 287.6 mg g-1 total phenols and 151.6 mg g-1 and 130.2mg g-1 bound phenols, while higher amounts of orthodihydric phenols and tannins were recorded in Punica granatum and Strobilanthes flaccidifolius by recording 20.11mg g-1 and 9.54mg g-1 orthodihydric phenols and 675.57mg g-1 and 648.12 mg g-1 tannins, respectively. In case of the plants used as mordant, higher contents of Ca, Mg, K, Zn, Fe and Mn were detected in Achyranthes aspera, while higher amounts of P, Fe and Cu were recorded in Garcinia xanthochymus.

Ten natural dye yielding and two mordant plants were biochemically analyzed. Though natural dyes are widely used, information about the active principles responsible for dyeing is hardly available. In the present experiment, total chlorophyll, carotinoids, tannins, phenolics, flavonoids and curcumin were determined among the dye yielding plants, while K, S, P, Ca, Mg, Mn, Zn, Fe, Cu and Co were determined in the case of mordant plants. In Bixa orellana, used for yellow dyeing, the carotinoid content was 163.11 mg g-1 and in Clerodendrum chinense and Datura stramonium, which were used for green colouring, total chlorophyll content of 10.29 mg and 11.83 mg g-1 was recorded. Curcumin content responsible for orange colouring in Curcuma domestica was 27.7 mg g-1 while flavonoid content in Solanum nigrum and Terminalia chebula, which were used for brown, brown to black dyes was 24.89 and 21.73 mg g-1. Among the plants used for dyeing different colours, Punica granatum and Parkia timoriana were found to contain higher amounts of total phenols and bound phenols by recording 681.2 mg g-1 and 287.6 mg g-1 total phenols and 151.6 mg g-1 and 130.2mg g-1 bound phenols, while higher amounts of orthodihydric phenols and tannins were recorded in Punica granatum and Strobilanthes flaccidifolius by recording 20.11mg g-1 and 9.54mg g-1 orthodihydric phenols and 675.57mg g-1 and 648.12 mg g-1 tannins, respectively. In case of the plants used as mordant, higher contents of Ca, Mg, K, Zn, Fe and Mn were detected in Achyranthes aspera, while higher amounts of P, Fe and Cu were recorded in Garcinia xanthochymus. [ABSTRACT FROM AUTHOR]