Work

MXene-based composites for multimodal sensing of food contaminants: recent advances and future perspectives

Year: 2026

Type: article

Abstract: MXene composites for multimodal detection of food contaminants: advances and future outlook.

Source: Sustainable Food Technology

DOI: 10.1039/d6fb00189k

Authors: Xuexia Jia, Shili Ni, Akang Dan, Xiaopeng Hu, Kunli Xu, Weiya Wang, Ruipeng Chen

Institutions: Xuchang University, Yangtze University, Shangqiu Normal University

Language: English

Topic: MXene and MAX Phase Materials

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Award: G5259822281

OpenAlex ID: W7203744664

FWCI: 2.076

Cites: 153

Cited by: 2

Related to: 10