ADVERTISEMENT

Home|Journals|Articles by Year|Audio Abstracts
 

Original Article



Molecular characterization of the ligninolytic Sundarban mangrove isolate Stenotrophomonas maltophilia GD1 and its promising applications in the dye and fiber industry

Somnath Das, Mitun Sen, Nilothpal Sinha, Suryasarathi Kumar, Noiranjana Dasgupta, Dipankar Ghosh.



Abstract
Download PDF Post

Lignocellulolytic biocatalysts, including laccase, cellulase, and pectinase, have high potential for degrading lignocellulosic biomass (LCB). Jute and banana are fiber-producing LCBs that hold significant economic value. Nevertheless, certain parts of these plants are utilized as waste material due to their low-quality fiber, which causes losses for the industry. These waste portions can be processed and biologically converted into high-value fiber. A bacterial strain called Stenotrophomonas maltophilia GD1, which can produce several proteins, was isolated from the Sundarban mangrove ecosystem in West Bengal, India, and genetically analyzed via 16S rRNA sequencing. The strain exhibited the ability to produce all three necessary lignocellulolytic enzymes, with the highest levels of laccase and minimal cellulase and pectinase activity. The strain modified the fibers extensively, as determined by Young’s modulus, and removed the color from the toxic industrial dyes. This demonstrates the broad potential of this strain for waste valorization and environmental remediation. Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM) confirmed the enhanced fiber quality. Microbial phylogenetic relationships were established using Molecular Evolutionary Genetics Analysis version 11 (MEGA 11).

Key words: Laccase, Stenotrophomonas maltophilia GD1, Sundarban mangrove ecosystem, Bioremediation, Dye, Jute, and Banana fiber waste recycling.





publications
0
supporting
0
mentioning
0
contrasting
0
Smart Citations
0
0
0
0
Citing PublicationsSupportingMentioningContrasting
View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.



Bibliomed Article Statistics

13
19
16
19
29
21
30
32
36
41
21
R
E
A
D
S



10

13

16

18

22

23

17

18

82

18
D
O
W
N
L
O
A
D
S
0910111201020304050607
20242025

Full-text options


Share this Article


Online Article Submission
• ejmanager.com




ejPort - eJManager.com
Author Tools
About BiblioMed
License Information
Terms & Conditions
Privacy Policy
Contact Us

The articles in Bibliomed are open access articles licensed under Creative Commons Attribution 4.0 International License (CC BY), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.


We use cookies and other tracking technologies to work properly, to analyze our website traffic, and to understand where our visitors are coming from. More Info Got It!