Role of balanced charge carrier transport in low band gap polymer:Fullerene bulk heterojunction solar cells

Lowering of the optical band gap of conjugated polymers in bulk heterojunction solar cells not only leads to an increased absorption but also to an increase of the optimal active layer thickness due to interference effects at longer wavelengths. The increased carrier densities due to the enhanced absorption and thicker active layers make low band gap solar cells more sensitive to formation of space charges and recombination. By systematically red shifting the optical parameters of poly[2‐methoxy‐5‐(3′,7′‐dimethyloctyloxy)‐p‐phenylenevinylene] and 6,6‐phenyl C₆₁‐butyric acid methyl ester, we simulate the effect of a reduced band gap on the solar cell efficiencies. We show that especially the fill factor of low band gap cells is very sensitive to the balance of the charge transport. For a low band gap cell with an active layer thickness of 250 nm, the fill factor of 50% for balanced transport is reduced to less than 40% by an imbalance of only one order of magnitude. © 2011 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys, 2011     

Integration of spore-based genetically engineered whole-cell sensing systems into portable centrifugal microfluidic platforms

Bacterial whole-cell biosensing systems provide important information about the bioavailable amount of target analytes. They are characterized by high sensitivity and specificity/selectivity along with rapid response times and amenability to miniaturization as well as high-throughput analysis. Accordingly, they have been employed in various environmental and clinical applications. The use of spore-based sensing systems offers the unique advantage of long-term preservation of the sensing cells by taking advantage of the environmental resistance and ruggedness of bacterial spores. In this work, we have incorporated spore-based whole-cell sensing systems into centrifugal compact disk (CD) microfluidic platforms in order to develop a portable sensing system, which should enable the use of these hardy sensors for fast on-field analysis of compounds of interest. For that, we have employed two spore-based sensing systems for the detection of arsenite and zinc, respectively, and evaluated their analytical performance in the miniaturized microfluidic format. Furthermore, we have tested environmental and clinical samples on the CD microfluidic platforms using the spore-based sensors. Germination of spores and quantitative response to the analyte could be obtained in 2.5–3 h, depending on the sensing system, with detection limits of 1 × 10⁻⁷ M for arsenite and 1 × 10⁻⁶ M for zinc in both serum and fresh water samples. Incorporation of spore-based whole-cell biosensing systems on microfluidic platforms enabled the rapid and sensitive detection of the analytes and is expected to facilitate the on-site use of such sensing systems.     

A partially linearized sigma point filter for latent state estimation in nonlinear time series models

A new technique for the latent state estimation of a wide class of nonlinear time series models is proposed. In particular, we develop a partially linearized sigma point filter in which random samples of possible state values are generated at the prediction step using an exact moment-matching algorithm and then a linear programming based procedure is used in the update step of the state estimation. The effectiveness of the new filtering procedure is assessed via a simulation example that deals with a highly nonlinear, multivariate time series representing an interest rate process.