Asymmetric MXene/ZnO Heterostructures for High-Performance Self-Powered Photothermoelectric Photodetectors

Self-powered photothermoelectric (PTE) detectors are pivotal for energy-autonomous nano-optoelectronics; however, achieving high sensitivity under weak-light illumination remains a challenge due to the negligible thermal gradients (Δ T ) established at low incident flux. Herein, we report a self-powered broadband PTE detector based on asymmetric Ti 3 C 2 T x MXene/ZnO heterostructured architectures. By engineering asymmetric photothermal dissipation within the MXene layers, a temperature gradient is established across the electrode–channel interface, combined with the distinct Seebeck coefficients to generate a net potential that enables efficient zero-bias operation. To overcome the weak-light bottleneck, ZnO nanowires were integrated to induce an energy-filtering effect via band bending, which boosts the absolute Seebeck coefficient (| S |) within the channel region, thereby amplifying the overall PTE response. Consequently, the asymmetric MXene/ZnO device exhibits competitive sensitivity across the UV–Vis–NIR spectrum (365–808 nm). Specifically, under a low power density of 1 μW cm –2, the detector achieves a responsivity of 328 mA W –1 at zero bias. Coupled with a response time (τ 1 /τ 2 = 11/13 ms), the device demonstrates multifunctional utility for energy-autonomous optical communication, flame monitoring, and precision physiological sensing. This work provides a scalable strategy for engineering thermo-optical–electrical gradients, laying a solid foundation for next-generation, high-sensitivity self-powered optoelectronic platforms.

Authors

Institutions

Publication Details

Journal
ACS Applied Nano Materials
Published
2026-07-16
DOI
https://doi.org/10.1021/acsanm.6c01635
Primary Topic
MXene and MAX Phase Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Asymmetric MXene/ZnO Heterostructures for High-Performance Self-Powered Photothermoelectric Photodetectors

Ying Xie, Si Zhu, Daxiu Tang, Zhaofeng Gu et al.
ACS Applied Nano Materials
MXene and MAX Phase Materials
article

Asymmetric MXene/ZnO Heterostructures for High-Performance Self-Powered Photothermoelectric Photodetectors

Ying Xie, Si Zhu, Daxiu Tang, Zhaofeng Gu, Chenjie Gu, Ziwei Zheng, Xiang Shen, Yongwei Lu
article en

Abstract

Self-powered photothermoelectric (PTE) detectors are pivotal for energy-autonomous nano-optoelectronics; however, achieving high sensitivity under weak-light illumination remains a challenge due to the negligible thermal gradients (Δ T ) established at low incident flux. Herein, we report a self-powered broadband PTE detector based on asymmetric Ti 3 C 2 T x MXene/ZnO heterostructured architectures. By engineering asymmetric photothermal dissipation within the MXene layers, a temperature gradient is established across the electrode–channel interface, combined with the distinct Seebeck coefficients to generate a net potential that enables efficient zero-bias operation. To overcome the weak-light bottleneck, ZnO nanowires were integrated to induce an energy-filtering effect via band bending, which boosts the absolute Seebeck coefficient (| S |) within the channel region, thereby amplifying the overall PTE response. Consequently, the asymmetric MXene/ZnO device exhibits competitive sensitivity across the UV–Vis–NIR spectrum (365–808 nm). Specifically, under a low power density of 1 μW cm –2, the detector achieves a responsivity of 328 mA W –1 at zero bias. Coupled with a response time (τ 1 /τ 2 = 11/13 ms), the device demonstrates multifunctional utility for energy-autonomous optical communication, flame monitoring, and precision physiological sensing. This work provides a scalable strategy for engineering thermo-optical–electrical gradients, laying a solid foundation for next-generation, high-sensitivity self-powered optoelectronic platforms.

ACS Applied Nano Materials
Ningbo University (CN), Zhejiang Wanli University (CN), Digital Science (United States) (US), Geely (China) (CN), Health & Life (Taiwan) (TW)
Affordable and clean energy
Openalex Percentile: Top 18%
MXene and MAX Phase Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.