Mitrovic Slobodan, Soedarmadji Edwin, Newhouse Paul F, Suram Santosh K, Haber Joel A, Jin Jian, Gregoire John M
Joint Center for Artificial Photosynthesis, California Institute of Technology , Pasadena, California 91125, United States.
ACS Comb Sci. 2015 Mar 9;17(3):176-81. doi: 10.1021/co500151u. Epub 2015 Jan 14.
High-throughput screening is a powerful approach for identifying new functional materials in unexplored material spaces. With library synthesis capable of producing 10(5) to 10(6) samples per day, methods for material screening at rates greater than 1 Hz must be developed. For the discovery of new solar light absorbers, this throughput cannot be attained using standard instrumentation. Screening certain properties, such as the bandgap, are of interest only for phase pure materials, which comprise a small fraction of the samples in a typical solid-state material library. We demonstrate the utility of colorimetric screening based on processing photoscanned images of combinatorial libraries to quickly identify distinct phase regions, isolate samples with desired bandgap, and qualitatively identify samples that are suitable for complementary measurements. Using multiple quaternary oxide libraries containing thousands of materials, we compare colorimetric screening and UV-vis spectroscopy results, demonstrating successful identification of compounds with bandgap suitable for solar applications.
高通量筛选是在未探索的材料空间中识别新型功能材料的一种强大方法。由于文库合成每天能够生产10⁵至10⁶个样品,因此必须开发出速率大于1赫兹的材料筛选方法。对于新型太阳能光吸收剂的发现,使用标准仪器无法达到这种通量。筛选某些特性,如带隙,仅对相纯材料有意义,而相纯材料在典型的固态材料文库中只占样品的一小部分。我们展示了基于处理组合文库的光扫描图像进行比色筛选的效用,以快速识别不同的相区,分离出具有所需带隙的样品,并定性识别适合进行互补测量的样品。使用包含数千种材料的多个四元氧化物文库,我们比较了比色筛选和紫外可见光谱结果,证明成功识别出了带隙适合太阳能应用的化合物。