Evidence map›Paper›PMID 41053064›Full record

ArticleNature communications2025

Sustainable recycling of polyamides via C-N bond cleavage facilitated by methyl tosylate under mild conditions.

Jitong Yang, Yifan Wang, Yifan Fan, Bing Xu, Tao Tu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Jitong YangState Key Laboratory of Green Chemical Synthesis and Conversion, Department of Chemistry, Fudan University, Shanghai, China.ORCID http://orcid.org/0009-0005-6656-8939
Yifan WangState Key Laboratory of Green Chemical Synthesis and Conversion, Department of Chemistry, Fudan University, Shanghai, China.
Yifan FanState Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, School of Chemistry and Chemical Engineering, Ningxia University, Yinchuan, China.
Bing XuState Key Laboratory of Green Chemical Synthesis and Conversion, Department of Chemistry, Fudan University, Shanghai, China. bingxu@fudan.edu.cn.ORCID http://orcid.org/0009-0008-8902-2527
Tao TuState Key Laboratory of Green Chemical Synthesis and Conversion, Department of Chemistry, Fudan University, Shanghai, China. taotu@fudan.edu.cn.ORCID http://orcid.org/0000-0003-3420-7889

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22271060
6 · The paper itself

Abstract

The escalating issue of plastic "white pollution" urgently calls for efficient and sustainable recycling strategies. Herein, we propose an approach for the depolymerization of polyamides via alcoholysis, utilizing methyl tosylate as an activator to cleave robust amide C-N bonds under mild reaction conditions. This strategy facilitates the efficient conversion of diverse polyamides into high-value monomers, such as ε-caprolactam, amino acid esters, or diamines/diesters, with nearly quantitative yields and excellent selectivities. Experimental and theoretical mechanistic investigations reveal that p-toluene sulfonic acid plays a crucial role in the efficient alcoholysis of polyamides, mediating the formation of a tetrahedral intermediate through the nucleophilic attack of alcohol on the amide group. This protocol not only demonstrates exceptional applicability to complex waste plastic mixtures containing polyamides but also highlights its potential for scalable implementation, offering a practical and sustainable recycling approach for more effective management of white pollution.

Identifiers

PMID41053064
PMCPMC12501216

What OpenQuestion holds

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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.