کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7146610 1462087 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fast detection of low concentration carbon monoxide using calcium-loaded tin oxide sensors
ترجمه فارسی عنوان
تشخیص سریع مونوکسید کربن کم با استفاده از سنسورهای اکسید قلع پر شده با کلسیم
کلمات کلیدی
اکسید قلع، بارگذاری کلسیم، سنتز سونو شیمیایی، سنسورهای مونوکسید کربن،
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
Solid state sensors with noble metal-loaded tin oxide as sensing elements are widely used for the detection of flammable and toxic gases and volatile organic compounds (VOCs). Apart from rendering high cost, incorporation of noble metals often increases the preconditioning time and introduces a drift in baseline properties of the sensors. Herein, we report on the development of stable and economically viable sensor modules for fast and efficient detection of carbon monoxide (CO) in air. The sensing layer comprises sonochemically synthesized calcium-loaded tin oxide (Ca-SnO2) nanocrystals, in which calcium primarily gets segregated at the SnO2 grain boundaries as calcium oxide (CaO) and thereby restricts the growth of SnO2 particles. Due to larger ionic radius of Ca2+ as compared to that of Sn4+, a minute quantity of calcium can be doped as well into the SnO2 lattice. The variation of calcium concentration in SnO2 has a prominent effect on the sensor performance, where 5 wt% calcium loading shows the highest sensor response. The sensors exhibit a lower detection limit of 1 ppm CO in air. The response time (10-12 s) and recovery time (30-45 s) of our sensors, for different concentrations of CO, are equivalent or less compared to those of commercially available metal-oxide sensors. Additionally, a highly stable baseline with minimal drift even after being operational for over 1.5 years is observed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 203, November 2014, Pages 490-496
نویسندگان
, , , , ,