Evidence map›Paper›PMID 40868762›Full record

ArticleGels (Basel, Switzerland)2025

Preparation of Agrowaste-Based Nanocellulose by NaOH-Assisted Ball Milling Technique: Influence of Component Intervention.

Yuxi Wang, Yong Yu, Shuhan Hu, Jinyao Yu, Yue Huang, Hongjie Dai

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Yuxi WangYibin Academy of Southwest University, Yibin 644000, China.
Yong YuYibin Academy of Southwest University, Yibin 644000, China.
Shuhan HuCollege of Food Science, Southwest University, Chongqing 400715, China.
Jinyao YuYibin Academy of Southwest University, Yibin 644000, China.
Yue HuangChongqing Sericulture Science and Technology Research Institute, Chongqing 400700, China.
Hongjie DaiYibin Academy of Southwest University, Yibin 644000, China.ORCID 0000-0002-5541-0301

Funding

Chongqing Technology Innovation and Application Development Project of China CSTB2024TIAD-GPX0034Fundamental Research Funds for the Central Universities SWU-XJPY202310, SWU-KT22046National Natural Science Foundation of China 31901683Sichuan Science and Technology Program, China 2025ZNSFSC1058
6 · The paper itself

Abstract

Pineapple peel cellulose nanofibrils (PCNFs) were facilely prepared by the ball milling method assisted by alkali solution (3 wt% NaOH) and a wet grinding medium, using various treated pineapple peels (hot water treatment (WT), bleaching treatment (BT), alkaline treatment (AT), and baleaching-alkaline treatment (ABT)) as raw materials. The structure of the obtained PCNFs (i.e., WT-PCNF, BT-PCNF, AT-PCNF, and ABT-PCNF) was characterized to analyze the influence of component intervention. The results indicated that NaOH-assisted ball milling did not change the crystal structure of cellulose, and the yield and thermal stability of the PCNFs was improved. The average diameters of WT-PCNF, BT-PCNF, AT-PCNF, and ABT-PCNF were 24.16, 21.53, 23.04, and 19.46 nm, respectively, in which BT-PCNF and ABT-PCNF exhibited a higher defibrillating degree and smaller diameter. Particularly, NaOH-assisted ball milling can promote the removal of non-cellulose components. The viscosity and modulus of BT-PCNF were relatively higher due to the presence of residual hemicellulose as a natural linker of fibers. The current research provides insights for simplifying the preparation and functionalization of nanocellulose.

Indexed as

ball millingcharacterizationcomponentnanocellulosepineapple peelsodium hydroxide

Identifiers

PMID40868762
PMCPMC12385294

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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.