Rich Rebecca L, Myszka David G
Center for Biomolecular Interaction Analysis, University of Utah, Salt Lake City, UT 84132, USA.
J Mol Recognit. 2005 Jan-Feb;18(1):1-39. doi: 10.1002/jmr.726.
In the year 2003 there was a 17% increase in the number of publications citing work performed using optical biosensor technology compared with the previous year. We collated the 962 total papers for 2003, identified the geographical regions where the work was performed, highlighted the instrument types on which it was carried out, and segregated the papers by biological system. In this overview, we spotlight 13 papers that should be on everyone's 'must read' list for 2003 and provide examples of how to identify and interpret high-quality biosensor data. Although we still find that the literature is replete with poorly performed experiments, over-interpreted results and a general lack of understanding of data analysis, we are optimistic that these shortcomings will be addressed as biosensor technology continues to mature.
与前一年相比,2003年引用使用光学生物传感器技术开展的研究工作的出版物数量增长了17%。我们整理了2003年的962篇论文,确定了开展研究工作的地理区域,突出了所使用的仪器类型,并按生物系统对论文进行了分类。在本综述中,我们重点介绍了13篇应列入2003年每个人“必读”清单的论文,并举例说明了如何识别和解读高质量的生物传感器数据。尽管我们仍然发现文献中充斥着执行不佳的实验、过度解读的结果以及对数据分析的普遍缺乏理解,但我们乐观地认为,随着生物传感器技术的不断成熟,这些缺点将得到解决。