A review on classifications, recent synthesis and applications of textile dyes

2020 ◽  
Vol 115 ◽  
pp. 107891 ◽  
Author(s):  
Said Benkhaya ◽  
Souad M' rabet ◽  
Ahmed El Harfi
Keyword(s):  
Textile Dyes ◽  
Recent Synthesis

Enzymatic Textile Dyes Decolorization by In vitro and In silico Studies

2019 ◽  
Vol 13 (4) ◽  
pp. 268-276
Author(s):  
Sridevi Ayla ◽  
Monika Kallubai ◽  
Suvarnalatha Devi Pallipati ◽  
Golla Narasimha
Keyword(s):  
Molecular Docking ◽  
In Silico ◽  
Docking Studies ◽  
Textile Dyes ◽  
Crude Enzyme ◽  
Eastern Ghats ◽  
Textile Dye ◽  
Phanerochaete Sordida ◽  
Molecular Docking Studies ◽  
In Silico Studies

Background:Laccase, a multicopper oxidoreductase (EC: 1.10.3.2), is a widely used enzyme in bioremediation of textile dye effluents. Fungal Laccase is preferably used as a remediating agent in the treatment and transformation of toxic organic pollutants. In this study, crude laccase from a basidiomycetes fungus, Phanerochaete sordida, was able to decolorize azo, antroquinone and indigoid dyes. In addition, interactions between dyes and enzyme were analysed using molecular docking studies.Methods:In this work, a white rot basidiomycete’s fungus, Phanerochaete sordida, was selected from forest soil isolates of Eastern Ghats, and Tirumala and lignolytic enzymes production was assayed after 7 days of incubation. The crude enzyme was checked for decolourisation of various synthetic textile dyes (Vat Brown, Acid Blue, Indigo, Reactive Blue and Reactive Black). Molecular docking studies were done using Autodock-4.2 to understand the interactions between dyes and enzymes.Results:Highest decolourisation efficiency was achieved with the crude enzyme in case of vat brown whereas the lowest decolourisation efficiency was achieved in Reactive blue decolourisation. Similar results were observed in their binding affinity with lignin peroxidase of Phanerochaete chrysosporium through molecular docking approach.Conclusion:Thus, experimental results and subsequent in silico validation involving an advanced remediation approach would be useful to reduce time and cost in other similar experiments.

scholarly journals Degradation of textile dyes from aqueous solution using tea-polyphenol/Fe loaded waste silk fabrics as Fenton-like catalysts

RSC Advances ◽  
2021 ◽  
Vol 11 (14) ◽  
pp. 8290-8305
Author(s):  
Md Shipan Mia ◽  
Ping Yao ◽  
Xiaowei Zhu ◽  
Xue Lei ◽  
Tieling Xing ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Textile Dyes ◽  
Tea Polyphenols ◽  
Tea Polyphenol ◽  
Degradation Of Dyes ◽  
Silk Fabrics

In this study, waste silk fabrics were modified with tea-polyphenols then loaded with Fe2+ for degradation of dyes.

Stewart-Williams and Halsey argue persuasively that gender bias is just one of many causes of women’s underrepresentation in science

2021 ◽  
Vol 35 (1) ◽  
pp. 40-44
Author(s):  
Stephen J Ceci ◽  
Shulamit Kahn ◽  
Wendy M Williams
Keyword(s):  
Gender Bias ◽  
Spatial Abilities ◽  
Sociocultural Factors ◽  
Gender Gaps ◽  
Teaching Evaluations ◽  
Evolutionary Origins ◽  
Funding Success ◽  
Acceptance Rates ◽  
Recent Synthesis ◽  
Letters Of Recommendation

Stewart-Williams and Halsey provide an unusually broad synthesis of the enormous literature on gender gaps in hiring, letters of recommendation, mathematical and spatial abilities, email appointment-making, people vs things orientation, within-gender variability, salaries, occupational preferences, and employment discrimination. They argue that sociocultural factors, while important, cannot by themselves account for the entirety of these gaps. In addition, they argue that factors resulting from evolutionary origins, cognitive ability gaps at the extreme right tail of the distribution, and underlying gender differences in abilities, preferences, and values are needed to explain why women are less well represented in the most math-intensive fields. In our commentary, we reprise our own recent synthesis (unpublished) of gender gaps in six domains (letters of recommendation, academic hiring, salaries, teaching evaluations, journal acceptance rates, grant funding success) and put our results in the context of these authors' arguments.

Sign in / Sign up

Export Citation Format

Share Document