A systematic way of identifying and forecasting technological reverse salients using QFD,bibliometrics, and trend impact analysis: A carbon nanotube biosensor case

Experts have more difficulty identifying reverse salients in R&D because of increasing technological complexity and a shortened technology lifecycle. As an alternative, we suggest a new and systematic method of identifying and forecasting reverse salients using QFD (quality function deployment), bibliometric analysis, and TIA (trend impact analysis). QFD allows users to systematically identify and prioritize reverse salients. An integration of QFD, bibliometric analysis, and TIA makes it possible to specify key performance indicators of reverse salient in order to identify the performance gap between current and market-required performance and to make a probabilistic forecast about when reverse salients will be corrected. Our method will help managers identify a top priority reverse salient, forecast its future, and thus make better R&D decisions with regard to market requirements. A carbon nanotube biosensor technology is used as an example.     

Characterising a technology development at the stage of early emerging applications: nanomaterial-enhanced biosensors

We devise future-oriented technology analyses tools to investigate a technology at an interesting development stage of early emerging applications. At this stage, technologies show great potential with little established commercialisation. Future development pathways are highly uncertain and heavily dependent on contextual interactions. We apply R&D profiling, R&D-to-applications cross-charting, and technology delivery system modelling to help understand the phenomena that bear upon development prospects. We develop our approach through a two-tier case study: general treatment of nanomaterial-enhanced biosensors, followed by more specialised treatment of one subset of those. Results convey the importance of considering technological and social context factors together to understand likely innovation pathways.     

有机磷农药酶生物传感器的研究进展

胆碱酯酶是一种重要的工具酶,现阶段测定有机磷农药的生物传感器大多以胆碱酯酶作为分子识别元件。详细综述了检测有机磷农药的胆碱酯酶生物传感器的种类、性能,并简单介绍了胆碱酯酶的固定化技术,对今后酶生物传感器检测有机磷农药的工作进行了展望。     

测酚生物传感器研究进展

介绍了电化学生物传感器、光学生物传感器和压电生物传感器等测酚生物传感器的原理及国内外发展现状,详细论述了测酚酶传感器的酶的选择、酶的固定化方法和酶电极的修饰方法,指出了测酚生物传感器的发展方向及前景。     

美国纳米传感器技术发展计划与战略部署

10余年来,美国政府十分重视对纳米传感器技术的研发支持,与之相关的发展计划分布于美国《国家纳米技术计划》的各个层面,众多国家机构结合各自研究领域积极开展纳米传感器技术的研究与开发,其研究遍及国防军事、航空航天、生物医药以及电子通讯等领域,尤以涉及国家安全和人类生命健康的领域为重点。通过分析美国相关机构各年度纳米传感器技术发展计划,不难了解：近期,美国政府提出要加强机构间的合作与交流,既要加快下一代纳米传感器技术的研究与开发,同时也为开展纳米传感器技术在健康、安全与环境方面的研究提供支撑。