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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Yang, Jing | Yin, Zhi-xiang | Cui, Jian-zhong | Huang, Kai-feng
Article Type: Research Article
Abstract: Detecting the quality of drinking water is very important in researching the current status and predicting trends of variation, as well as fundamentally solving the water pollution problem. Recently, the application and development of biosensor provide a powerful analytical tool for detecting pollutants of drinking water, but high selectivity, specificity, short response time, and low cost are particularly desired in the detection process. In this paper, RNA molecules in combination with nano-gold and magnetic nano-particles were proposed as design strategies of the biosensor. The proposed designs have distinct advantages over conventional biosensor in the following aspects: the high affinity capacity, …sensitivity, and practicability. Our work provided an alternative method to monitor the environment of drinking water, and may find applications in various monitoring fields. Show more
Keywords: RNA biosensor, magnetic nano-particle, gold nano-particle, environmental monitoring
DOI: 10.3233/FI-2019-1768
Citation: Fundamenta Informaticae, vol. 164, no. 2-3, pp. 289-298, 2019
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