With remarkable improvement in power conversion efficiency (PCE), perovskite solar cells (PSCs) have garnered a lot of interest in the photovoltaic industry. Among them, the all-inorganic CsPbBr3 perovskite has been widely used in solar cells because of its exceptional stability and potential commercial applications. In addition, the advantages of low-temperature preparation that minimizes energy loss and favorable energy level arrangement with a wide band gap have made SnO2 potentially displace TiO2 as the most common electron transport layer (ETL) material. However, the performance of SnO2- based PSCs was restricted by the defects and under-coordinated tin ions in SnO2 films. In this study, we prepared a high-quality SCN-doped tin oxide (SnO2) electron transport layer, obtaining ITO/SCN-SnO2/CsPbBr3/Carbon structural solar cell. The open circuit voltage, fill factor, short circuit current density, and PCE of the best device was 1.37 V, 68.68%, 7.02 mA/cm2, and 6.61%, respectively, higher than the pristine devices. The results indicated that SCN doping could achieve higher-quality SnO2 electron transport layers, thereby improving the performance of inorganic CsPbBr3 perovskite solar cells.
Glyphosate is widely used as a common pesticide. However, glyphosate residues in food is harmful to human health. In this paper, we proposed a flexible SERS sensor of PANI/GO/Ag film for detecting the pesticide residue of glyphosate. The Raman peak at 1045cm-1 of glyphosate was selected as the object to evaluate the SERS ability. To study the Raman enhancement ability of the flexible SERS sensor on glyphosate, the PANI/GO/Ag film was soaked in different concentrations of glyphosate solution to test the characteristic peak value. The results showed that the EF of glyphosate molecules was 1.1×106 and the LOD was 2.34 nM. After 15 days of storage at room temperature, the SERS enhanced performance of the sensor was up 92% of the initial strength. The PANI/GO/Ag flexible SERS sensor proposed in this paper has the advantages of high efficiency, rapid and specific recognition, which can be widely applied to the current agriculture, biomedicine, food industry, and other fields.
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