journal article·2024-09-13

MXene/Co3O4 Layered Composites for Acetone Gas Sensing

Chunmei Zhang, Xuanyu Wu, Chengyuan Zha, Lei Li, Hao Lu, Ting Chen, Shan Zhang, Huanhuan Xing, Mengdi Zhao, Wei Sun, Wei Chen, Chunxian Guo, Chang Ming Li

ACS Applied Nano Materials· Volume 7· Issue 17
Publisher page

Abstract

Accordion-like multilayered Ti 3 C 2 T x MXene has garnered significant attention due to its high conductivity and sensitivity, thereby being promising for acetone sensing. However, the limited stability of thin-layered MXene hinders its applications at high temperature. In this study, MXene/Co 3 O 4 was synthesized via a self-assembly method by coating thin-layered MXene with Co 3 O 4 nanosheets (Co 3 O 4 NS) to enhance acetone sensing performance, especially at a high temperature of up to 200 °C. An interfacial electric field arises between Ti 3 C 2 T x MXene and Co 3 O 4 NS because of their different work functions. Due to a synergistic effect of the interfacial electric field and the surface-coated Co 3 O 4, MXene/Co 3 O 4 achieves the highest response intensity for acetone concentrations ranging from 0.1 to 1000 ppm, surpassing the individual sensitivities of Co 3 O 4 NS and MXene alone. Remarkably, the detection limit of MXene/Co 3 O 4 (0.1 ppm) outperforms those of Co 3 O 4 NS and MXene. Employing the AdaBoost algorithm for machine learning, MXene/Co 3 O 4 demonstrated 99.76% accuracy in distinguishing acetone from six other gases, holding great potential for practical gas sensing applications. The acetone adsorption energy of the MXene/Co 3 O 4 heterojunction calculated by density functional theory is −0.97 eV, indicating easier adsorption than MXene and Co 3 O 4 NS. This study presents a facile approach to fabricate MXene/metal oxide-based materials for acetone sensing, offering promising prospects in gas sensor development and showing universal significance for gas sensing fabrications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: MXene and MAX Phase Materials · Gas Sensing Nanomaterials and Sensors · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Xuefu Road, Suzhou 215009, P.R. China

Department of Electronics and Electrical Engineering, Changchun University of Technology, Changchun, Jilin 130012, P.R. China

College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, PR China

Guangxi Key Laboratory of Low Carbon Energy Materials College of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, P.R. China

Funding

National Key Research and Development Program of China · Suzhou University of Science and Technology · High Level Innovation and Entrepreneurial Research Team Program in Jiangsu · Jilin Provincial Scientific and Technological Development Program · Science Fund for Distinguished Young Scholars of Jiangsu Province · National Natural Science Foundation of China · State Key Laboratory of Electroanalytical Chemistry · Outstanding Youth Foundation of Jiangsu Province · Innovation Platform for Academicians of Hainan Province

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