@article{wu_liu_he_2009, title={Electrochemical Biosensing Using Amplification-by-Polymerization}, volume={81}, ISSN={["1520-6882"]}, DOI={10.1021/ac9011254}, abstractNote={A novel signal amplification strategy for electrochemical detection of DNA and proteins based on the amplification-by-polymerization concept is described. Specifically, a controlled radical polymerization reaction is triggered after the capture of target molecules on the electrode surface. Growth of long chain polymeric materials provides numerous sites for subsequent aminoferrocene coupling, which in turn significantly enhances electrochemical signal output. Activators generated electron transfer for atom transfer radical polymerization (AGET ATRP) is used in this study for its high efficiency in polymer grafting and better tolerance toward oxygen in air. 2-Hydroxyethyl methacrylate (HEMA) and glycidyl methacrylate (GMA) are examined to provide excess hydroxyl or epoxy groups for aminoferrocene coupling. A limit of detection of 15 pM and 0.07 ng/mL is demonstrated for DNA and ovalbumin, respectively. More than 7-fold signal enhancement in ovalbumin detection has been achieved comparing to the unamplified method. In addition, a more than 5 orders of magnitude of dynamic range is achieved with a linear correlation coefficient (R(2)) of 0.997 for DNA, and a more than 3 orders of magnitude with R(2) of 0.999 for ovalbumin. Together, the results show that the coupling of amplification-by-polymerization concept with electrochemical detection offers great promises in providing a sensitive and cost-effective solution for biosensing applications.}, number={16}, journal={ANALYTICAL CHEMISTRY}, author={Wu, Yafeng and Liu, Songqin and He, Lin}, year={2009}, month={Aug}, pages={7015–7021} }
 @article{solanky_wu_2009, title={On Approximate Optimality of the Sample Size for the Partition Problem}, volume={38}, ISSN={["0361-0926"]}, DOI={10.1080/03610920902947600}, abstractNote={We consider the problem of partitioning a set of normal populations with respect to a control population into two disjoint subsets according to their unknown means. For the purely sequential procedure of Solanky and Wu (2004) which can take c (≥1) observations from the control population at each sampling step, an approximate optimal sampling strategy is derived in order to minimize the total sampling cost. The obtained methodology is easy to implement and it depends only on the sampling costs and the number of populations to be partitioned. More importantly, it does not depend on the design parameters and the unknown parameters. The performance of the obtained optimal strategy is studied via Monte Carlo simulations to investigate the role of unknown parameters and the design parameters on the derived optimality. An example is provided to illustrate the derived optimal allocation strategy.}, number={16-17}, journal={COMMUNICATIONS IN STATISTICS-THEORY AND METHODS}, author={Solanky, Tumulesh K. S. and Wu, Yuefeng}, year={2009}, pages={3148–3157} }