Fig 1 - uploaded by Nur Fatiha Ghazalli
Content may be subject to copyright.
Molecular structure of gold(I) 4-(3,5-dimethoxybenzyl)-3,5-dimethyl pyrazolate complex [1]

Molecular structure of gold(I) 4-(3,5-dimethoxybenzyl)-3,5-dimethyl pyrazolate complex [1]

Source publication
Article
Full-text available
By using gold(I) 4-(3,5-dimethoxybenzyl)-3,5-dimethyl pyrazolate complex as a chemosensor, we report a successful quantification of ethanol in aqueous solution based on vapor-induced phosphorescent quenching. Upon monitoring at 278 nm irradiation, the emission intensity at 609 nm of the complex was quenched by the presence of ethanol vapors from th...

Context in source publication

Context 1
... in this work, we report a novel reagent less procedure to quantify the ethanol content using a metal complex with phosphorescent properties named as gold(I) 4-(3,5-dimethoxybenzyl)-3,5-dimethyl pyrazolate [1]. The chemical structure of compound [1] was shown in Figure 1. The photoluminescent properties of [1] against ethanol vapor exposure as a vapochromic chemosensor have been studied where its emission changes at 609 nm was used for the detection of ethanol concentration. ...

Citations

... Face Information Fusion (FIF) is a hybrid data fusion method composed of three parts: the face algorithm, the RSA algorithm, and the FIF method. The suggested method might quickly identify individuals [31][32] . In four papers, the hybrid method in intelligent banking & e-commerce systems was described. ...
... From the overall analysis it can be stated that the independent variables like the application of machine learning towards efficiency of operations, competitive advantage and enhancing profits tend to support in creating sustainable development of supply chain management process [25][26][27] . Hence, can be concluded that the companies which adopt ML enable in enhancing the overall performance, support in meeting their customer requirements and thereby realise the goals of the stakeholders in an efficient manner 28) . ...
... The system loads are practical loads which are voltage dependent loads (commercial, industrial and residential) have been implemented with proposed network. The mathematical modelling of practical load models for the network are as follows 12,15,[21][22][23][24][25] : ...
Article
Full-text available
The presented paper provides the distribution network analysis with optimum size and site of multiple DGs utilizing real world load models like industrial, residential, commercial and constant loads using optimization techniques like BF-PS, PSO and GA optimization. The problem function is multi-objective function taken into account on the basis of distinct technical performance index of distribution power network for the assessment of the optimum place and size of DG. The technical, social and economic performance analysis of system comprises of various parameters assessment related to these performances. The system performance like power loss (active & reactive), reliability, voltage profile, pollutant and carbon emission are considered. Subsequently, the economic performance like system total cost, loss cost, ENS cost and benefit-cost are reported. The pollutant emission (CO2, NOx and SO2 etc.) and the particulate matter (PM) also known as particle pollution are analyzed as social parameter for the system planning. The presented work is carried out with the IEEE 33-bus radial distribution network. Afterward, the analysis of aforesaid performances and parameters (social, technical and economic) for distribution system shows the effective results including DGs with practical loads using different optimization techniques.