Omics data processed by machine learning algorithms to characterize endotypes for the autonomous comparison of safety and risk assessment of nanomaterials for preclinical safety assessment and post-marketing vigilance and decision making.

In this research paper, we have reported solvent effects on nonlinear optical properties of tetrammineruthenium(II) complexes of modified 1,10-phenanthrolines. Polarizability and hyperpolarizability were calculated in the gas phase, benzene (ε = 2.3), THF (ε = 7.52), dichloromethane (ε = 8.93), acetone (ε = 21.01), methanol (ε = 33.00), acetonitrile (ε = 36.64), and water (ε = 80.10) using density functional theory. These solvents cover a wide range of polarities. The results of theoretical investigation have shown that nonlinear optical properties significantly increased with the increase of solvent polarity. Solvent strongly affected hyperpolarizability as compared with polarizability. Nonlinear optical properties were also changed by the change of functional. Hyperpolarizability significantly changed with the change of functional as compared with polarizability. The results of this study indicate that like structural modification, polarity of the medium can significantly change the nonlinear optical properties.

The current study describes the emphatic use of response surface methodology for the optimized biodiesel production using chemical and enzymatic transesterification of rice bran and sunflower oils. Optimal biodiesel yields were determined to be 65.3 ± 2.0%, 73.4 ± 3.5%, 96.5 ± 1.6%, 89.3 ± 2.0% and 41.7 ± 3.9% for rice bran oil and 65.6 ± 1.2%, 82.1 ± 1.7%, 92.5 ± 2.8%, 72.6 ± 1.6% and 50.4 ± 2.5% for sunflower oil via the transesterification catalyzed by NaOH, KOH and NaOCH₃,NOVOZYME-435 and A.n. Lipase, respectively. Based upon analysis of variance (ANOVA) and Response Surface plots significant impact of reaction parameters under study was ascertained. FTIR spectroscopic and HPLC methods were employed for monitoring the transesterification reaction progress while GC-MS analysis was performed to evaluate the compositional analysis of biodiesel. The fuel properties of both the rice bran and sunflower oil based biodiesel were shown to be technically compatible with the ASTM D6751 and EN 14214 standards. The monitoring of exhaust emission of synthesized biodiesels and their blends revealed a marked reduction in carbon monoxide (CO) and particulate matter (PM) levels, whereas an irregular trend was observed for NO_x emissions.