QUANTIZATION OF PERFORMANCE OF PERIOD 4 TRANSITION METAL DOPANTS ON C3N4\ZnO USING MCDM TECHNIQUES (TOPSIS)
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Date
2021
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Publisher
UMT.Lahore
Abstract
Photocatalysts have been around for a while to solve industrial-scale dye
degradation problems. Among these numerous catalysts, metal oxides have gained a
reputation due to their excellent photocatalytic activity, low bandgap, low cost, and
high oxidation potential and among these metal oxides, ZnO and TiO2 have gained
special attention due to their attractive set of properties. Doping of ZnO with
transition metals has proven to be highly efficient in photocatalytic activity against
different dyes and antibacterial properties. With the testing of multiple dopants on a
single photocatalyst, the question comes up that which dopants perform best while
taking numerous factors under consideration, and how can the performance of these
dopants on the photocatalyst be quantized and ranked in order from best to worst. To
quantize the performance and rank the dopants, MCDM (Multi-criterion decision
making) techniques can be utilized. Among these techniques, TOPSIS (Technique
for Order of Preference by Similarity of Ideal Solution) is utilized because of its
multi-attribute decision-making and versatility while handling data. This technique
has been utilized to quantize a set of attributes that were shown by the doping of
certain Period 4 transition metal elements on Zinc Oxide embedded on Graphitic
Carbon Nitride Sheet. A total of 10 attributes of each dopant were selected for the
TOPSIS ranking process including the photocatalyst stability during the
photocatalytic process, its anti- bacterial activity against certain gram-positive and
gram-negative bacteria, the time it took for the doped photocatalyst to degrade a
certain dye, and photocatalytic recovery along with some attributes including the
abundance of dopants in earth’s crust, and versatile uses of the dopant on the
photocatalyst.