Crystallographic identification of Eu@C (2 = 88, 86 and 84): completing a transformation map for existing metallofullerenes.

Chem Sci

State Key Laboratory of Materials Processing and Die & Mould Technology , School of Materials Science and Engineering , Huazhong University of Science and Technology, 1037 Luoyu Road , Wuhan , 430074 , China . Email:

Published: February 2019


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Revealing the transformation routes among existing fullerene isomers is key to understanding the formation mechanism of fullerenes which is still unclear now because of the absence of typical key links. Herein, we have crystallographically identified four new fullerene cages, namely, (27)-C, (7)-C, (13)-C and (11)-C, in the form of Eu@C , which are important links to complete a transformation map that contains as many as 98% (176 compounds in total) of the reported metallofullerenes with clear cage structures (C , 2 = 86-74). Importantly, the mutual transformations between the metallofullerene isomers included in the map require only one or two well-established steps (Stone-Wales transformation and/or C insertion/extrusion). Moreover, structural analysis demonstrates that the unique (27)-C cage may serve as a key point in the map and is directly transformable from a graphene fragment. Thus, our work provides important insights into the formation mechanism of fullerenes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385484PMC
http://dx.doi.org/10.1039/c8sc04906hDOI Listing

Publication Analysis

Top Keywords

transformation map
8
formation mechanism
8
mechanism fullerenes
8
crystallographic identification
4
identification eu@c
4
eu@c completing
4
transformation
4
completing transformation
4
map
4
map existing
4

Similar Publications

Architecture of systems affecting disease trajectories in a conflict zone: A community-centered systems inquiry in North Gaza.

PLOS Glob Public Health

September 2025

Department of International Health, Center for Humanitarian Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.

Humanitarian crises, particularly in conflict zones, create cascading disruptions that impact every aspect of daily life, including health and disease outcomes. While international humanitarian frameworks categorize these crises into discrete operational clusters, affected populations experience them as interwoven, systemic failures. This study examines how conflict-induced disruptions transform a preventable and typically self-limiting disease-Hepatitis A-into a fatal outcome.

View Article and Find Full Text PDF

A robust deep learning-driven framework for detecting Parkinson's disease using EEG.

Comput Methods Biomech Biomed Engin

September 2025

Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.

Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.

View Article and Find Full Text PDF

This article examines civil society organisations working to enhance social mobility in England, especially through higher education. Against the backdrop of neoliberal governance, we investigate whether these organisations operate as protective counter-movements resisting marketisation or as institutional mechanisms that stabilise the inequalities they aim to address. Drawing on Karl Polanyi's concept of the 'double movement' and Nancy Fraser's critique of marketised social protections, we map and analyse over 100 charities and non-profits established since 1992.

View Article and Find Full Text PDF

Objective: To evaluate the impact of integrating digital shadow technology with Lean Six Sigma methodology on intra-laboratory turnaround time (TAT) in a high-volume clinical laboratory, and to demonstrate how digital shadow architectures can enhance process visibility and drive sustainable operational improvements.

Methods: A retrospective, two-phase study was conducted in a tertiary cancer hospital from January to December 2024. Digital shadow technology was implemented by leveraging real-time, time-stamped data from the laboratory information system (LIS) to map specimen workflow milestones.

View Article and Find Full Text PDF

The brain avidly consumes glucose to fuel neurophysiology. Cancers of the brain, such as glioblastoma, relinquish physiological integrity and gain the ability to proliferate and invade healthy tissue. How brain cancers rewire glucose use to drive aggressive growth remains unclear.

View Article and Find Full Text PDF