A CRISPR/Cas12a-empowered surface plasmon resonance platform for rapid and specific diagnosis of the Omicron variant of SARS-CoV-2

The outbreak of the COVID-19 pandemic was partially due to the challenge of identifying asymptomatic and presymptomatic carriers of the virus, and thus highlights a strong motivation for diagnostics with high sensitivity that can be rapidly deployed. On the other hand, several concerning SARS-CoV-2 variants, including Omicron, are required to be identified as soon as the samples are identified as ‘positive’. Unfortunately, a traditional PCR test does not allow their specific identification. Herein, for the first time, we have developed MOPCS (Methodologies of Photonic CRISPR Sensing), which combines an optical sensing technology-surface plasmon resonance (SPR) with the ‘gene scissors’ clustered regularly interspaced short palindromic repeat (CRISPR) technique to achieve both high sensitivity and specificity when it comes to measurement of viral variants. MOPCS is a low-cost, CRISPR/Cas12a-system-empowered SPR gene-detecting platform that can analyze viral RNA, without the need for amplification, within 38 min from sample input to results output, and achieve a limit of detection of 15 fM. MOPCS achieves a highly sensitive analysis of SARS-CoV-2, and mutations appear in variants B.1.617.2 (Delta), B.1.1.529 (Omicron) and BA.1 (a subtype of Omicron). This platform was also used to analyze some recently collected patient samples from a local outbreak in China, identified by the Centers for Disease Control and Prevention. This innovative CRISPR-empowered SPR platform will further contribute to the fast, sensitive and accurate detection of target nucleic acid sequences with single-base mutations.     

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信息资源丰裕系数测度模型评析及优化

在明确信息资源内涵的基础上,对目前在信息资源测量中采用较多的信息资源丰裕度系数测度模型进行评析,并对该模型的指标体系和具体算法作出了改进,以期进一步完善。     

Web使用记录挖掘在金融CRM中的应用

讨论了Web使用记录挖掘在金融CRM中的作用,并建立了一套基于金融CRM的Web使用记录挖掘体系,以一个金融企业的实例贯穿全文。详述了该体系的六个部分,并在介绍发现客户模式这一步骤时提出了一种基于模糊神经网络的模式发现算法,这种算法可以提取Web使用记录中的客户规则。     

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