Li Zheng, Jang Minseok, Askim Jon R, Suslick Kenneth S
Department of Chemistry, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, Illinois 61801, USA.
Analyst. 2015 Sep 7;140(17):5929-35. doi: 10.1039/c5an00806a.
A linear (1 × 36) colorimetric sensor array has been integrated with a pre-oxidation technique for detection and identification of a variety of fuels and post-combustion residues. The pre-oxidation method permits the conversion of fuel vapor into more detectable species and therefore greatly enhances the sensitivity of the sensor array. The pre-oxidation technique used a packed tube of chromic acid on an oxide support and was optimized in terms of the support and concentration. Excellent batch to batch reproducibility was observed for preparation and use of the disposable pre-oxidation tubes. Twenty automotive fuels including gasolines and diesel from five gasoline retailers were individually identifiable with no confusions or misclassifications in quintuplicate trials. Limits of detection were at sub-ppm concentrations for gasoline and diesel fuels. In addition, burning tests were performed on commonly used fire accelerants, and clear differentiation was achieved among both the fuels themselves and their volatile residues after burning.
一种线性（1×36）比色传感器阵列已与预氧化技术集成，用于检测和识别各种燃料及燃烧后残留物。预氧化方法可将燃料蒸汽转化为更易检测的物质，从而大大提高传感器阵列的灵敏度。预氧化技术采用在氧化物载体上填充铬酸的管子，并在载体和浓度方面进行了优化。对于一次性预氧化管的制备和使用，观察到了出色的批次间重现性。在五次重复试验中，包括来自五家汽油零售商的汽油和柴油在内的20种汽车燃料均可单独识别，没有混淆或错误分类的情况。汽油和柴油燃料的检测限在亚ppm浓度。此外，对常用的助燃剂进行了燃烧测试，在燃料本身及其燃烧后的挥发性残留物之间都实现了清晰的区分。
