Source abstract
Abstract
Unambiguously direct adsorption (DA) of initial oil-soluble quantum dots (QDs) on TiO 2 film electrode is a convenient and simple approach in the construction of quantum dot sensitized solar cells (QDSCs). Regrettably, low QD loading amount and poor reproducibility shadow the advantages of DA route and constrain its practical application. Herein, the influence of experimental variables in DA process on QD loading amount as well as on the photovoltaic performance of the resultant QDSCs was investigated and optimized systematically, including the choice of solvent, purification of QDs, and sensitization time, as well as QD concentration. Experimental results demonstrated that it is essential to choose appropriate solvent as well as control purification cycles of original QD suspensions so as to realize satisfactory QD loading amount and ensure the high reproducibility. In addition, DA mode renders efficient electron injection from QD to TiO 2, yet low QD loading amount and adverse QD agglomeration in comparison with the well-developed capping ligand induced self-assembly (CLIS) deposition approach. Mg 2+ treatment on TiO 2 photoanodes can promote the QD loading amount in DA mode. The optimized QDSCs based on DA mode exhibited efficiencies of 6.90% and 9.02% for CdSe and Zn–Cu–In–Se QDSCs, respectively, which were comparable to the best results based on CLIS mode (6.88% and 9.56%, respectively).
Source: openalex_inverted_index · Quality: baseline
Affiliations
Key Laboratory for Advanced Materials, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China
College of Materials and Energy, South China Agricultural University, 483 Wushan Road, Guangzhou 510642, China
Department of Engineering Science, University of Electro-Communications, Tokyo 182-8585, Japan
Japan Science and Technology Agency (JST), Saitama 332-0012, Japan
Funding
Ministry of Education, Culture, Sports, Science and Technology · Ministry of Education of the People's Republic of China · Core Research for Evolutional Science and Technology · National Natural Science Foundation of China