Zhang Fanrou, Sun Jiao, Shi Fangyu, Han Qi, Shi Yujia, Yang Long, Wang Kun, Dong Biao, Wang Lin, Xu Lin
Department of Oral Implantology, Jilin Provincial Key Laboratory of Sciences and Technology for Stomatology Nanoengineering, School and Hospital of Stomatology, Jilin University, Changchun 130021, China.
Department of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, People's Republic of China.
ACS Sens. 2022 Nov 25;7(11):3530-3539. doi: 10.1021/acssensors.2c01926. Epub 2022 Nov 11.
As one of the most prevalent diseases in the world, timely early intervention for periodontitis is a great challenge because the indicator is imperceptible. The exhaled HS is considered to be a promising biomarker for fast and invasive periodontitis screening; however, the high-performance HS gas sensor with excellent selectivity and sensitivity which is applicable to the oral cavity remains technically challenging. Herein, a self-assembled monolayer (SAM)-functionalized Au/InO nanofiber (NF) sensor for HS exhalation analysis was developed to flexibly and effectively modulate the selectivity of the sensor. Through optimizing the specific binding capacity to HS by systematic adjustment with terminal groups and alkyl chains of SAMs, the sensing performance of the SAM-functionalized Au/InO NF sensor is greatly enhanced. In the optimal (Au/InO-MPTES) sensor, the functionalization of the MPTES molecule could achieve significant response enhancement because of the stronger interaction between the sulfhydryl group at the end of the MPTES and HS. Density functional theory simulation supports the proposed selective sensing mechanism via the analysis of adsorption energy and charge density distribution. The sensor exhibited a high response to HS (1505.3-10 ppm) at an operating temperature of 100 °C with a low practical detection limit of 10 ppb and 13-145 fold enhanced selectivity. Furthermore, the Au/InO-MPTES sensor was successfully applied to distinguish the breath of healthy individuals and patients with severe periodontitis. This study provides novel design insights for the development of highly selective gas sensors for clinical aids in the diagnosis and detection of oral diseases such as periodontitis.
作为世界上最普遍的疾病之一,由于牙周炎的指标难以察觉,对其进行及时的早期干预是一项巨大的挑战。呼出的硫化氢被认为是一种有前景的生物标志物,可用于快速、无创的牙周炎筛查;然而,开发出适用于口腔的具有优异选择性和灵敏度的高性能硫化氢气体传感器在技术上仍然具有挑战性。在此,我们开发了一种用于呼出硫化氢分析的自组装单分子层(SAM)功能化的金/氧化铟纳米纤维(NF)传感器,以灵活有效地调节传感器的选择性。通过系统调整SAM的端基和烷基链来优化对硫化氢的特异性结合能力,SAM功能化的金/氧化铟NF传感器的传感性能得到了极大提高。在最佳的(金/氧化铟-3-巯丙基三乙氧基硅烷)传感器中,3-巯丙基三乙氧基硅烷分子的功能化能够实现显著的响应增强,这是因为3-巯丙基三乙氧基硅烷末端的巯基与硫化氢之间的相互作用更强。密度泛函理论模拟通过分析吸附能和电荷密度分布支持了所提出的选择性传感机制。该传感器在100℃的工作温度下对硫化氢(1505.3-10ppm)表现出高响应,实际检测限低至10ppb,选择性提高了13-145倍。此外,金/氧化铟-3-巯丙基三乙氧基硅烷传感器成功应用于区分健康个体和重度牙周炎患者的呼吸。这项研究为开发用于临床辅助诊断和检测牙周炎等口腔疾病的高选择性气体传感器提供了新的设计思路。