Evidence map›Paper›PMID 42570049›Full record

ArticleBiotechnology letters2026

Optimization and comparative evaluation of fungal laccase-based biobleaching of pineapple leaf pulp: toward sustainable non-wood pulp processing using Paramarasmius palmivorus.

Sri Harjati Suhardi, Dea Ashari, Hendro Risdianto, Mamat Kandar, Isty Adhitya Purwasena, Dani Permana

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Biotechnology letters, 2026. 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.

Sri Harjati SuhardiSchool of Life Science and Technology, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung, 40132, Indonesia. renni@itb.ac.id.ORCID http://orcid.org/0009-0002-3703-4506
Dea AshariPoliteknik Kesehatan Denpasar, Ministry of Health, Jalan Sanitasi No.1, Denpasar, Indonesia.
Hendro RisdiantoCenter for Pulp and Paper, Ministry of Industry, Jalan Raya Dayeuhkolot 132, Bandung, Indonesia.
Mamat Kandar *School of Life Science and Technology, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung, 40132, Indonesia.
Isty Adhitya PurwasenaSchool of Life Science and Technology, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung, 40132, Indonesia.
Dani PermanaResearch Center for Environmental and Clean Technologies, The National Research and Innovation Agency of the Republic of Indonesia (Badan Riset dan Inovasi Nasional (BRIN)), Kawasan Sains dan Teknologi (KST) Prof. Dr. Samaun Samadikun, Jalan Cisitu, Bandung, 40135, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conventional chemical bleaching of pulp generates substantial environmental burdens due to toxic effluents and high chemical consumption. This study explores a sustainable alternative through the enzymatic biobleaching of pineapple leaf fiber (PALF) pulp using crude laccase extracted from Paramarasmius palmivorus, a white-rot fungus. The effects of enzyme dosage (1-10 U/g pulp) and reaction time (2-10 h) on pulp quality were systematically optimized using Response Surface Methodology (RSM). Key pulp properties, including Kappa number, brightness, and intrinsic viscosity, were evaluated and compared to chemical bleaching using hydrogen peroxide (H

Indexed as

AnanasLaccasePlant LeavesCelluloseHydrogen PeroxideLigninViscosityCelluloseHydrogen PeroxideLaccaseLigninEnzymatic bleachingLaccaseParamarasmius palmivorusPineapple leaf fiberSustainable pulp

Identifiers

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.