Evidence map›Paper›PMID 36714548›Full record

Article3 Biotech2023

Production of eco-friendly and better-quality sugarcane bagasse paper using crude xylanase and pectinase biopulping strategy.

Divya Sharma, Sharad Agrawal, Raksha Nagpal, O P Mishra, Nishikant Bhardwaj, Ritu Mahajan

Abstract readCase Reports
In one paragraph

Article in 3 Biotech, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Divya SharmaDepartment of Biotechnology, Kurukshetra University, Kurukshetra, India.
Sharad AgrawalDepartment of Life Sciences, SBSR, Sharda University, Noida, India.
Raksha NagpalDepartment of Biotechnology, Kurukshetra University, Kurukshetra, India.
O P MishraAvantha Centre for Industrial Research and Development, Paper Mill Campus, Yamuna Nagar, India.
Nishikant BhardwajAvantha Centre for Industrial Research and Development, Paper Mill Campus, Yamuna Nagar, India.
Ritu MahajanDepartment of Biotechnology, Kurukshetra University, Kurukshetra, India.ORCID 0000-0002-5737-7090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aimed to investigate the efficiency of crude xylanase-pectinase in pulping of sugarcane bagasse. Optimum biopulping was obtained, using xylanase-pectinase dose 200-60 IU/g, bagasse/liquid ratio 1:10 and 1.0% Tween 80 concentration at 55 °C temperature, pH 8.5 and period of treatment 180 min. Treatment of sugarcane bagasse samples with these enzymes generated pulp with lower rejections (58.76%), total solids (12.64%), kappa number (47.77%), higher screened pulp yield (10.66%), along with enhanced optical and physical properties, in comparison with a chemical pulp. Bagasse biopulping resulted in a 13% decrease in alkali dose to obtain the optical and physical properties similar to those achieved under the 100% alkali dose. The breaking length, burst factor, tear index, double fold, gurley porosity and viscosity were improved by 15.19, 37.64, 2.47, 37.77, 35 and 23.17%, respectively, after bleaching treatment of biopulped samples. Thus, enzymatic pulping is an eco-friendly environmentally sustainable approach, since it reduces the use of pulping chemicals and simultaneously improves the paper quality. This is the first report, showing pulping of sugarcane bagasse, with crude xylanase-pectinase, produced by an isolate.

Indexed as

Alkali doseBiopulpingBleachingSoda-AQ pulpingSugarcane bagasseXylan–pectinolytic enzymes

Identifiers

PMID36714548
PMCPMC9880078

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.