Evidence map›Paper›PMID 36158608›Full record

ReviewEnvironmental science and ecotechnology2021

Nanocellulose from various biomass wastes: Its preparation and potential usages towards the high value-added products.

Sujie Yu, Jianzhong Sun, Yifei Shi, Qianqian Wang, Jian Wu, Jun Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Environmental science and ecotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  18. Preparation of High-Solid Microfibrillated Cellulose fromJournal of microbiology and biotechnology · 2022
    Article
  19. Review
  20. 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.

Sujie YuBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, 212013, Zhenjiang, China.
Jianzhong SunBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, 212013, Zhenjiang, China.
Yifei ShiBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, 212013, Zhenjiang, China.
Qianqian WangBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, 212013, Zhenjiang, China.
Jian WuBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, 212013, Zhenjiang, China.
Jun LiuBiofuels Institute, School of the Environment and Safety Engineering, Jiangsu University, 301 Xuefu Road, 212013, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomass waste comes from a wide range of sources, such as forest, agricultural, algae wastes, as well as other relevant industrial by-products. It is an important alternative energy source as well as a unique source for various bioproducts applied in many fields. For the past two decades, how to reuse, recycle and best recover various biomass wastes for high value-added bioproducts has received significant attention, which has not only come from various academia communities but also from many civil and medical industries. To summarize one of the cutting-edge technologies applied with nanocellulose biomaterials, this review focused on various preparation methods and strategies to make nanocellulose from diverse biomass wastes and their potential applications in biomedical areas and other promising new fields.

Indexed as

Biomass wasteBiomedical applicationEnvironmentally-functional materialsNanocellulose

Identifiers

PMID36158608
PMCPMC9488076

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.