Evidence map›Paper›PMID 38748066›Full record

ArticleBiotechnology letters2024

Paddy straw saccharification using immobilized laccase on magnetized multiwall carbon nanotubes.

Hasnol Azahari Natasha Yasmin, Balakrishnan Kunasundari, Siew Hoong Shuit, Mohamad Fahrurrazi Tompang

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Article in Biotechnology letters, 2024. 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
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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

4 authors.

Hasnol Azahari Natasha YasminFaculty of Chemical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), 02600, Arau, Perlis, Malaysia.
Balakrishnan KunasundariFaculty of Chemical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), 02600, Arau, Perlis, Malaysia. kunasundari@unimap.edu.my.ORCID http://orcid.org/0000-0002-5998-8944
Siew Hoong ShuitDepartment of Chemical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long Campus, Jalan Sungai Long, Bandar Sungai Long, Cheras, 43000, Kajang, Selangor, Malaysia.
Mohamad Fahrurrazi TompangFaculty of Chemical Engineering and Technology, Universiti Malaysia Perlis (UniMAP), 02600, Arau, Perlis, Malaysia.

Funding

Fundamental Research Grant Scheme (FRGS) 9003-00889 [FRGS/1/2020/TK0/UNIMAP/03/13]
6 · The paper itself

Abstract

The effective recovery of the immobilized enzymes using magnetic carriers has led to growing interest in this technology. The objective of this research was to evaluate the efficiency of immobilized laccase on magnetized multiwall carbon nanotubes (m-MWCNTs) in terms of stability and reusability. Laccases were efficiently adsorbed onto magnetized multiwall carbon nanotubes (m-MWCNTs) synthesized using water. The concentration of 7 mg laccase/mL was found to be ideal for immobilization. The optimal activity of both free and immobilized laccases was observed at pH 5, while for the latter, the optimal temperature was shifted from 40 to 50 °C. Compared to the free laccase, the immobilized laccase exhibited a greater range of stability at more extreme temperatures. At the fourth cycle of reactions, the immobilized laccase exhibited more than 60% relative activity in terms of reusability. Based on the fourier-transform infrared spectroscopy (FTIR) peak at 2921 cm

Indexed as

Enzymes, ImmobilizedLaccaseNanotubes, CarbonEnzyme StabilityHydrogen-Ion ConcentrationLigninOryzaTemperatureEnzymes, ImmobilizedLaccaseLigninNanotubes, CarbonImmobilized laccaseMagnetized multiwall carbon nanotubesPaddy strawRecoverySaccharification

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What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.