The coupling reaction between tryptamine and 8-hydroxyquinoline led to the formation of a new azo ligand. The synthesized ligand was characterized using CHN, FT-IR, UV-Vis, and NMR spectroscopic techniques. Complexes of the ligand with VO2+, Cr3+, Mn2+, and Mo6+ ions were prepared in a (1:2) ratio, with the general formula [M(L)2]. The obtained complexes were characterized using flame atomic absorption, CHN analysis, FT-IR, and UV-Vis spectroscopy, in addition to magnetic susceptibility and conductivity measurements. The findings suggest that the ligand functions as a bidentate, with the complexes exhibiting octahedral, square planar and square pyramidal geometries. All the complexes were identified as non-electrolytes. Their antioxidant effectiveness in neutralizing free radicals was assessed using DPPH as the free radical and Gallic acid as a standard. The IC50 value was determined, revealing that the Mn-complex demonstrated stronger free radical inhibition ability. The antioxidant capacity of the complexes varied based on their IC50 values; the Mn-complex was found to have a higher ability to inhibit free radicals, and the ability to inhibit the complex varied according to the IC50 value. The results were as following Gallic acid ˃ [Mn(L)2(H2O)2] ˃ Ligand ˃ [Mo(L)2O2] ˃ [VO(L)2] ˃ [Cr(L)2H2OCl].
SYNTHESIS, CHARACTERIZATION, THERMAL PROPERTIES, AND BIOLOGICAL
EVALUATION OF AZO-TRANSITION METAL COMPLEXES
Tryptamine
8-Hyrroxyquonoiun
DPPH
TGA analysis
Azo dyes compound
Publication Date
Sat Dec 30 2023
Journal Name
Journal Of Economics And Administrative Sciences
The Cluster Analysis by Using Nonparametric Cubic B-Spline Modeling for Longitudinal Data
البيانات الطولية
نموذج الشرائح B-spline التكعيبية اللامعلمية
التحليل العنقودي
طريقة الاتجاه المتناوب لخوارزمية المضاعف ADMM.
Longitudinal Data
Nonparametric Cubic B-Spline
Cluster Analysis
The Alternating Direction Method for Multiplier Algorithm ADMM.
Longitudinal data is becoming increasingly common, especially in the medical and economic fields, and various methods have been analyzed and developed to analyze this type of data.
In this research, the focus was on compiling and analyzing this data, as cluster analysis plays an important role in identifying and grouping co-expressed subfiles over time and employing them on the nonparametric smoothing cubic B-spline model, which is characterized by providing continuous first and second derivatives, resulting in a smoother curve with fewer abrupt changes in slope. It is also more flexible and can pick up on more complex patterns and fluctuations in the data.
The longitudinal balanced data profile was compiled into subgroup
... Show More