Evidence map›Paper›PMID 35433027›Full record

ArticleGlobal challenges (Hoboken, NJ)2022

Isolation, Characterization, and Depolymerization of l-Cysteine Substituted

Lanlan Shi, Tanhao Zhang, Xin Zhou, Lu Yao, Linjie Yang, Fengxia Yue, Wu Lan, Fachuang Lu

Open access · goldAbstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2022. 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
0.6field-weighted citation impact, top 41% of its field
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, 8 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 2 institutions in 2 countries.

Lanlan ShiState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
Tanhao ZhangState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
Xin ZhouState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
Lu YaoState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
Linjie YangState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
Fengxia YueState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.ORCID https://orcid.org/0000-0002-5203-2421
Wu LanState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
Fachuang LuState Key Laboratory of Pulp and Paper Engineering School of Light Industry and Engineering South China University of Technology Guangzhou 510640 China.
South China University of Technology · CNUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignin condensation reactions are hard to avoid or control during separation, which is a deterrent to lignin isolation and post-conversation, especially for the full utilization of lignocelluloses. Selective protection of β-aryl ether linkages in the isolation process is crucial to lignin valorization. Herein, a two-step acid/alkali separation method assisted with l-cysteine for

Indexed as

2D NMRcondensationl‐cysteine ligninmodel compounds

Identifiers

PMID35433027
PMCPMC8995711
OpenAlexW4214930708

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.