SAINSTEK International Journal on Applied Science, Advanced Technology and Informatics

Analysis of the Influence of Thermodynamic Parameters on the Sensitivity of Bimetal Conduction Sensor in Temperature Measurement and Automatic Control Applications

Dieter Rahmadiawan — 2023-12-30

The present study investigates the impact of thermodynamic parameters on the sensitivity of bimetal conduction sensors in temperature measurement and automatic control applications. Bimetal strips, composed of two distinct metals with varying coefficients of thermal expansion, exhibit curvature in response to temperature changes. This research examines the correlation between specific thermodynamic parameters, such as coefficient of thermal expansion and elastic modulus of the metals, and the resulting sensitivity of the bimetal sensor. Experimental analysis involves subjecting the sensor to controlled temperature variations and recording the corresponding curvature and mechanical response. The findings provide insights into the intricate relationship between the physical properties of the bimetal materials and their performance as sensors, enabling a deeper understanding of the underlying mechanisms that govern their behavior. This study contributes to enhancing the design and optimization of bimetal conduction sensors for accurate temperature measurement and reliable automatic control systems, with implications for various industrial and domestic applications.

Advanced Strategies for Mercury Ion Removal from Aqueous Solutions Using Functionalized Carbon Nanotube-Encapsulated Alginate Beads: Design, Synthesis, Mechanistic Insights, and Practical Applications

Ahmad Zikri — 2023-12-30

This review paper comprehensively explores advanced strategies for the efficient removal of mercury ions from aqueous solutions using functionalized carbon nanotube-encapsulated alginate beads. The study covers the entire spectrum of the research, ranging from design and synthesis to theoretical calculations and practical applications. The composite material is synthesized by encapsulating functionalized carbon nanotubes within alginate beads, creating a unique structure with enhanced affinity for mercury ions. Density functional theory calculations provide insights into the molecular interactions between the functional groups and mercury ions, shedding light on the underlying adsorption mechanisms. Batch experiments reveal significant mercury ion removal capacity, while fixed-bed processes simulate real-world scenarios, demonstrating the composite's performance under continuous flow conditions. This work not only showcases the material's practical efficacy but also enhances the understanding of the adsorption process through a seamless integration of experimental results and theoretical calculations. By offering a holistic view of the design, synthesis, mechanistic insights, and practical applications, this review paper contributes to the advancement of effective water treatment technologies, addressing the critical issue of mercury contamination in aquatic environments.

Interaction of Linolenic Acid from Papaya Plant (Carica Papaya) on Peroxome Proliferator-Actived Receptor Delta as Colorectal Cancer Cell Inhibitor

Azril Azril — 2023-12-30

This study examines the interaction of linolenic acid from the papaya plant (Carica papaya) on peroxisome proliferator-activated receptor delta (PPAR-δ) as an inhibitor of colorectal cancer cells. The research methodology involved computational modeling and simulation using Pymol, Pyrex, and Protein Plus. With Pymol and Pyrex, the binding affinity of linolenic acid to PPAR-δ was obtained with values of -6.9, -6.8, and -6.7, and Root Mean Square Deviation (RMSD) with values of 0, 1.18, and 1.318. Protein Plus results indicate an interaction between linolenic acid and PPAR-δ. This study also took into account the Lepinski Rule of Five to predict the bioavailability of linolenic acid in biological systems. The parameters include molecular mass 249, hydrogen bond donor 1, hydrogen bond receiver 2, log P 0.8005, and molar reactivity 64.0568. The results of this study indicate the potential of linolenic acid from papaya plants as a PPAR-δ inhibitor in the treatment of colorectal cancer.

Acetylcholinesterase Studies as Colonic Pseudo-Obstruction Inhibitor on Quercitrin from Neem Leaf Extract (Azadirachta Indica)

Herland Satriawan — 2023-12-30

This research focuses on the study of Acetylcholinesterase (AChE) as an inhibitor of Colonic Pseudo-Obstruction using Quercitrin obtained from neem leaf extract (Azadirachta indica). The research methods used include Pymol, Pyrex, Protein Plus, and Lipinski's rule. Analysis using Pymol and Pyrex resulted in Binding Affinity of -9.0, -8.8, and -8.7 and RMSD values of 0, 1.443, and 1.767 indicating a good potential interaction between AChE and Quercitrin. In this study, Protein Plus was used to identify the interaction between Quercitrin and AChE, the results showed a significant interaction between the two which may contribute in inhibiting Colonic Pseudo-Obstruction. Assessment of the physicochemical properties of Quercitrin using Lipinski's rule resulted in a molecular mass of 435, number of hydrogen bond donors 7, hydrogen bond acceptors 11, log P 0.000 and molar reactivity 0.000, indicating that Quercitrin meets the criteria to be an effective drug. Thus, the results of this study open up new prospects in the use of Quercitrin as a therapeutic agent in AChE inhibition for the treatment of Colonic Pseudo-Obstruction.

In Slico Study of Green Tea (Camellia Sinensis) Extract Epigallocatechine Gallate as an Inhibitor of Alzheimer's and Myositis Using Beta Secretase 1

Mohamad Zarqani Bin Yeop — 2023-12-30

This research entitled "In Silico Study of Epigallocatechine Gallate Green Tea Extract (Camellia Sinensis) as an Alzheimer and Myositis Inhibitor Using Beta Secretase 1" examines the effectiveness of epigallocatechine gallate (EGCG) as an inhibitor of Alzheimer and Myositis. The research method used is in silico with PyMOL and Pyrex software for molecular simulation and Protein Plus for protein interaction analysis. Analysis of binding affinity calculations showed values of -8.1, -8.1, and -8.0 with RMSD values of 0, 1.443, and 1.767. This study produced evidence that there is an interaction between EGCG and Beta Secretase 1 which illustrates the potential of EGCG as an inhibitor of Alzheimer's and Myositis. Lepinski Rule analysis showed that EGCG has a molecular weight of 448, 8 hydrogen bond donors, 11 hydrogen bond acceptors, a log P value of -3.316 and a molar reactivity of 93.0303. These conclusions indicate that EGCG meets the criteria of Lepinski's rule as a good drug candidate, and therefore shows potential as a therapeutic agent in the treatment of Alzheimer's and Myositis.