Here we report identification of powders of titania, one of the most important metal oxides, with their energy-resolved distribution of electron traps (ERDT), as a fingerprint, measured by reversed double-beam photoacoustic spectroscopy (RDB-PAS). The ERDT patterns combined with conduction-band bottom (CBB) position data measured by ordinary PAS for various titania powders and other metal-oxide powders were different depending on the kind of sample. The degree of coincidence (ζ) of ERDT/CBB patterns was evaluated for a given pair of samples as a product of each degree of coincidence for ERDT-pattern matching, total density of electron traps and CBB position. Titania samples collected from close positions in a container exhibited high values of ζ, while samples with different code names showed low values of ζ, except for pairs of samples prepared in the same way but coded differently. It was shown that the higher was the values of ζ, the higher was the degree of coincidence for photocatalytic activity of titania samples. ERDT/CBB-pattern arrays arranged in the order of photocatalytic activities in three reaction systems suggested preferable patterns for each photocatalytic reaction.

在这里，我们报告了二氧化钛粉末的鉴定，二氧化钛是最重要的金属氧化物之一，其能量分辨的电子陷阱（ERDT）分布为指纹图谱，通过反向双束光声光谱法（RDB-PAS）测量。通过普通PAS测量的各种二氧化钛粉末和其他金属氧化物粉末的ERDT模式与导带底部（CBB）位置数据相结合，取决于样品的种类而有所不同。对于给定的一对样品，评估ERDT / CBB模式的重合度（ζ），作为ERDT模式匹配的每个重合度，电子陷阱的总密度和CBB位置的乘积。从容器附近位置收集的二氧化钛样品显示出较高的ζ值，而代号不同的样品显示出较低的ζ值，除了以相同方式制备但编码不同的成对样本外。结果表明，ζ值越高，二氧化钛样品的光催化活性的重合度越高。在三个反应系统中按光催化活性顺序排列的ERDT / CBB模式阵列为每个光催化反应提出了较好的模式。