Amloy Supaluck, Panyaboon Kitpracha, Lukprang Tanachporn, Maolanon Rungroj, Preechaburana Pakorn
Department of Physics, Faculty of Science and Technology, Thammasat University, Pathumthani 12120, Thailand; Thammasat Research Unit in Innovation of Optical Devices and Nanomaterials for Chemical and Biological Sensing, Thammasat University, Pathumthani 12120, Thailand.
Department of Physics, Faculty of Science and Technology, Thammasat University, Pathumthani 12120, Thailand.
J Colloid Interface Sci. 2025 Nov 15;698:138134. doi: 10.1016/j.jcis.2025.138134. Epub 2025 Jun 8.
This study reports the development of an optical electronic nose sensor designed for the highly sensitive detection of ammonia vapor at room temperature, utilizing zinc oxide/red-emitting carbon dot (ZnO/R-CD) nanohybrid films. The detection mechanism is based on the monitoring of refractive index changes in the ZnO/R-CD films upon exposure to ammonia vapor, employing the surface plasmon resonance (SPR) technique integrated with a smartphone platform. The results showed that a ZnO film thickness of 200 nm provided the highest sensitivity. In addition, under blue light illumination, the sensing response was nine times greater than that of unilluminated film. The proposed sensor also demonstrated the ability to distinguish between five volatile organic compounds (VOCs), including ammonia, ethanol, methanol, isopropanol, and acetone, by using five different illumination colors on the smartphone display. Among these, ammonia produced the highest sensing response, approximately six times greater than those of the other VOCs. A linear response was observed over an ammonia concentration of 4-33 ppm, with a sensitivity of 1.406 %/ppm. The limit of detection, calculated from the standard deviation of the noise signal, was 0.079 ppm. Furthermore, the sensor exhibited rapid response and recovery times (6 s/54 s) and maintained excellent stability over a period of 45 days. These findings underscore the sensor's potential for practical applications involving the detection of ammonia vapor, and particularly for monitoring spoiled milk.
本研究报告了一种用于在室温下高灵敏度检测氨蒸气的光学电子鼻传感器的开发,该传感器利用了氧化锌/发红光碳点(ZnO/R-CD)纳米杂化薄膜。检测机制基于采用与智能手机平台集成的表面等离子体共振(SPR)技术,监测ZnO/R-CD薄膜暴露于氨蒸气时的折射率变化。结果表明,200nm的ZnO薄膜厚度提供了最高的灵敏度。此外,在蓝光照射下,传感响应比未照射的薄膜大九倍。所提出的传感器还展示了通过在智能手机显示屏上使用五种不同的照明颜色来区分包括氨、乙醇、甲醇、异丙醇和丙酮在内的五种挥发性有机化合物(VOCs)的能力。其中,氨产生的传感响应最高,约为其他VOCs的六倍。在4-33ppm的氨浓度范围内观察到线性响应,灵敏度为1.406%/ppm。根据噪声信号的标准偏差计算出的检测限为0.079ppm。此外,该传感器表现出快速的响应和恢复时间(6秒/54秒),并在45天内保持了优异的稳定性。这些发现突出了该传感器在涉及氨蒸气检测的实际应用中的潜力,特别是在监测变质牛奶方面。