Multifunctional Magnetic-fluorescent Nanocomposites for Biomedical Applications

Nanotechnology is a fast-growing area, involving the fabrication and use of nano-sized materials and devices. Various nanocomposite materials play a number of important roles in modern science and technology. Magnetic and fluorescent inorganic nanoparticles are of particular importance due to their broad range of potential applications. It is expected that the combination of magnetic and fluorescent properties in one nanocomposite would enable the engineering of unique multifunctional nanoscale devices, which could be manipulated using external magnetic fields. The aim of this review is to present an overview of bimodal “two-in-one” magnetic-fluorescent nanocomposite materials which combine both magnetic and fluorescent properties in one entity, in particular those with potential applications in biotechnology and nanomedicine. There is a great necessity for the development of these multifunctional nanocomposites, but there are some difficulties and challenges to overcome in their fabrication such as quenching of the fluorescent entity by the magnetic core. Fluorescent-magnetic nanocomposites include a variety of materials including silica-based, dye-functionalised magnetic nanoparticles and quantum dots-magnetic nanoparticle composites. The classification and main synthesis strategies, along with approaches for the fabrication of fluorescent-magnetic nanocomposites, are considered. The current and potential biomedical uses, including biological imaging, cell tracking, magnetic bioseparation, nanomedicine and bio- and chemo-sensoring, of magnetic-fluorescent nanocomposites are also discussed

Stability of resistance to Phytophthora infestans in potato: an international evaluation

Ten institutions in nine countries joined together to test the stability of resistance of 14 potato genotypes to the oomycete pathogen Phytophthora infestans in three separate trials. Seven of the genotypes were tested in one trial involving seven locations, and all 14 were tested in two subsequent trials, each involving eight locations. Stability of resistance was tested with nonparametric tests and with an additive main effects and multiplicative interaction (AMMI) model. Overall, resistance to P. infestans was robust; resistant genotypes were consistently resistant in all locations and trials. The nonparametric analysis indicated that specific genotypes were basically stable across sites for resistance. In trial 3, the Z statistic for overall stability was significant at 0·05%, indicating a significant level of interaction across the trial, but there were no significant interactions for specific genotypes in this trial. The genotype by environment (G × E) effect of the AMMI model was highly significant in both trials, but the mean square of G × E was less than 10% of the genotype effect in each trial. The first two principal components (PCA1 and PCA2) of the AMMI analyses together explained 75 and 80% of the interaction effects in trials 2 and 3, respectively. Based on both nonparametric and AMMI analyses, Ecuador and Argentina were locations of relatively high interaction effects for both trials 2 and 3, although in Ecuador this interaction was not associated with any particular potato genotype. Other locations also had high interaction effects, but these occurred in only one trial. The genotypes Chata Blanca and, to a lesser extent, Torridon were relatively unstable in trials 2 and 3, but in the case of Torridon, resistant, this did not represent a significant loss of resistanc

Savings behaviour in Fiji : an empirical assessment using the ARDL approach to cointegration

Purpose &ndash; This paper aims to delineate the short- and long-run relationships between savings, real interest rate, income, current account deficits (CADs) and age dependency ratio in Fiji using cointegration and error correction models over the period 1968-2000.Design/methodology/approach &ndash; The recently developed bounds testing approach to cointegration is used, which is applicable irrespective of whether the underlying variables are integrated of order one or order zero. Given the small sample size in this study, appropriate critical values were extracted from Narayan. To estimate the short- and long-run elasticities, the autoregressive distributed-lag model is used.Findings &ndash; In the short- and long-run: a 1 per cent increase in growth rate increases savings by over 0.07 and 0.5 per cent, respectively; a 1 per cent increase in the CAD reduces savings rate by 0.01 and 0.02 per cent, respectively; and the negative coefficient on the real interest rate implies that the income effect dominates the substitution effect, while in the short-run the total effect of the real interest rate is positive, implying that the substitution effect dominates the income effect.Originality/value &ndash; This paper makes the first attempt at estimating the savings function for the Fiji Islands. Given that Fiji\u27s capital market is poorly developed, the empirical findings here have direct policy relevance.<br /