We previously reported that 2-aminotryptanthrin (T2NH2) and 2-(N,N-dimethylamino)tryptanthrin (T2NMe2) possess excellent photophysical properties such as wide-wavelength absorption and emission in the visible region and a high fluorescence quantum yield. These compounds also exhibit large positive fluorescent solvatochromism. In this study, the new derivative 2-(N,N-diphenylamino)tryptanthrin (T2NPh2) is synthesized, and its photophysical properties are investigated. In contrast to T2NH2 and T2NMe2, T2NPhe2 shows weak fluorescence only in nonpolar toluene and 1,4-dioxane among the 13 solvents of different polarity tested, which is considered to be due to thermal deactivation resulting from the promotion of internal conversion by the rotation of the phenyl groups. Although T2NPhe2 is nonfluorescent in tetrahydrofuran (THF), fluorescence is observed in water/THF solutions with more than 80 vol% water content as a result of aggregation-induced emission.

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The Loopamp SARS-CoV-2 Detection Kit is used for the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Loop-mediated isothermal amplification (LAMP) is based on a measurement principle that can be used with a relatively simple device. Detection using this kit requires viral RNA extraction from samples with the QIAGEN QIAamp Viral Mini Kit (QIAGEN extraction) or the Loopamp Viral RNA Extraction Kit (Eiken extraction), which are recommended by the manufacturer. However, the efficacy of LAMP-based SARS-CoV-2 detection using these extraction methods has not been compared. In this study, we aimed to compare the results of genome extraction and detection from nasopharyngeal swab samples using the QIAGEN and Eiken extraction kits. The present study involved patients who presented to the Rinku General Medical Center with suspected COVID-19 (25 positive and 26 negative cases). A comparison of the results obtained using each extraction method with those obtained via PCR showed that the positive, negative, and overall concordance rates between QIAGEN extraction and PCR were 96.0% (24/25 samples), 100% (26/26), and 98.0% (50/51; κ = 0.96, 95% CI = 0.69–1.00), respectively. Results with Eiken extraction were also favorable, with positive, negative, and overall concordance rates of 88.0% (22/25), 100% (26/26), and 94.1% (48/51; κ = 0.88, 95% CI = 0.61–1.00), respectively. Favorable results were obtained using both QIAGEN and Eiken extraction kits. Since Eiken extraction can be completed in a few minutes, it enables prompt and reliable testing for SARS-CoV-2 detection.

In recent years, systems have become large scale and complex due to the development of Internet of Things(IoT). Therefore, it becomes difficult to understand the influence of component specification changes that occur during the system development stage. Thus we focus on Model-Based Systems Engineering(MBSE), which is capable of expressing hierarchical structure and overviewing information. In this paper, we propose a method for analyzing the influence on the smart interactive service with digital health modeling caused by changes in system elements using index of network theory. As a conclusion, we clarified the degree of influence on the whole system caused by changing the specification of each component with using eigenvector centrality, which is one of the network indices.