Cite this article as:

Jinzhou Bai, Yanbai Shen, Ang Li, Meili Wu, Hong Xiao, Qiang Zhao, Sikai Zhao, Wengang Liu, and Baoyu Cui, Design of PbS quantum dots–PbMoO4–MoS2 ternary nanocomposites for highly selective NO2 sensing at room temperature, Int. J. Miner. Metall. Mater., (2025). https://doi.org/10.1007/s12613-024-3027-0
Jinzhou Bai, Yanbai Shen, Ang Li, Meili Wu, Hong Xiao, Qiang Zhao, Sikai Zhao, Wengang Liu, and Baoyu Cui, Design of PbS quantum dots–PbMoO4–MoS2 ternary nanocomposites for highly selective NO2 sensing at room temperature, Int. J. Miner. Metall. Mater., (2025). https://doi.org/10.1007/s12613-024-3027-0
引用本文 PDF XML SpringerLink

用于室温高选择性 NO2 检测的 PbS 量子点–PbMoO4–MoS2 三元纳米复合材料设计

摘要: 传统的电阻型半导体气体传感器通常存在工作温度高、选择性差等问题。为了解决这些问题,本文采用原位合成方法制备了一种在室温下工作的高选择性二氧化氮气体传感器,其基于硫化铅量子点-钼酸铅-二硫化钼三元纳米复合材料构建。所得硫化铅量子点平均尺寸约为10 nm,钼酸铅纳米颗粒尺寸在10–20 nm之间,均匀分布在平均厚度约为7 nm的超薄二硫化钼纳米片上。优化后的传感器在25°C条件下对1 ppm 的二氧化氮表现出显著的响应性能,灵敏度达到44.5%,约为纯二硫化钼基传感器(8.5%)的五倍,同时具有较短的响应/恢复时间和完全恢复能力。该传感器还表现出对二氧化氮的卓越选择性,对多种干扰气体几乎无响应。通过密度泛函理论计算进一步揭示了其气敏机制,优异性能归因于复合材料比表面积的显著提升、硫化铅量子点与钼酸铅纳米颗粒的受体功能,以及二硫化钼纳米片的信号传导功能三者之间的协同作用。

 

Design of PbS quantum dots–PbMoO4–MoS2 ternary nanocomposites for highly selective NO2 sensing at room temperature

Abstract: Traditional resistive semiconductor gas sensors suffer from high operating temperatures and poor selectivity. Thus, to address these issues, a highly selective nitrogen dioxide (NO2) sensor based on lead sulfide (PbS) quantum dots (QDs)–lead molybdate (PbMoO4)–molybdenum disulfide (MoS2) ternary nanocomposites operating at room temperature was fabricated herein. The ternary nanocomposites were synthesized using an in situ method, yielding PbS QDs with an average size of ~10 nm and PbMoO4 nanoparticles in the 10- to 20-nm range, uniformly distributed on ultrathin MoS2 nanosheets with an average thickness of ~7 nm. The optimized sensor demonstrated a significant improvement in response to 1 ppm NO2 at 25°C, achieving a response of 44.5%, which was approximately five times higher than that of the pure MoS2-based sensor (8.5%). The sensor also achieved relatively short response/recovery times and full recovery properties. Notably, the optimal sensor displayed extraordinary selectivity toward NO2, showing negligible responses to different interfering gases. Density functional theory (DFT) calculations were conducted to elucidate the underlying sensing mechanism, which was attributed to the enhanced specific surface area, the receptor function of both PbS QDs and PbMoO4 nanoparticles, and the transducer function of MoS2 nanosheets.

 

/

返回文章
返回