Population Modeling Approach to Optimize Crop Harvest Strategy. The Case of Field Tomato.

In this study, the aim is to develop a population model based approach to optimize fruit harvesting strategies with regard to fruit quality and its derived economic value. This approach was applied to the case of tomato fruit harvesting under Vietnamese conditions. Fruit growth and development of tomato (cv. "Savior") was monitored in terms of fruit size and color during both the Vietnamese winter and summer growing seasons. A kinetic tomato fruit growth model was applied to quantify biological fruit-to-fruit variation in terms of their physiological maturation. This model was successfully calibrated. Finally, the model was extended to translate the fruit-to-fruit variation at harvest into the economic value of the harvested crop. It can be concluded that a model based approach to the optimization of harvest date and harvest frequency with regard to economic value of the crop as such is feasible. This approach allows growers to optimize their harvesting strategy by harvesting the crop at more uniform maturity stages meeting the stringent retail demands for homogeneous high quality product. The total farm profit would still depend on the impact a change in harvesting strategy might have on related expenditures. This model based harvest optimisation approach can be easily transferred to other fruit and vegetable crops improving homogeneity of the postharvest product streams.

Integrable and superintegrable systems associated with multi-sums of products.

We construct and study certain Liouville integrable, superintegrable and non-commutative integrable systems, which are associated with multi-sums of products.

Spherical nucleic acid enhanced FO-SPR DNA melting for detection of mutations in Legionella pneumophila.

A home-built fiber optic surface plasmon resonance platform (FO-SPR) was applied to directly screen PCR amplified DNA for mutations. The FO-SPR sensor was used for real-time monitoring of DNA duplex melting during high resolution temperature cycling. The signal of the DNA melting was enhanced by means of gold nanoparticle labels. This FO-SPR genetic assay allowed for detection of single-point mutations (SNP) in less than 20 min. The concept was demonstrated for the analysis of 9 different serogroups of the bacterium Legionella pneumophila, a common human pathogen responsible for atypical pneumonia. FO-SPR allowed us to detect genetic mutations inhibiting PCR, which could lead to amplification bias when molecular diagnostics are applied for L. pneumophila detection. All serogroups were found to display unique melting temperatures, indicating that mutations have accumulated in the target sequence. In a next step, clinical samples of L. pneumophila were analyzed using the FO-SPR sensor. This technology was proven to be reliable for the detection of mutations for those samples that previously displayed ambiguous qPCR quantification results. When these results were benchmarked, FO-SPR results were found to be consistent with Sanger sequencing but not with fluorescence based DNA melting. The presented results convincingly advocate the advantages of FO-SPR as a high resolution and fast genetic screening tool that can compete with the current standard techniques for SNP detection.

Selection of aptamers against Ara h 1 protein for FO-SPR biosensing of peanut allergens in food matrices.

The rising prevalence to food allergies in the past two decades, together with the fact that the only existing therapy is avoidance of allergen-containing food next to the implementation of anti-allergic drugs, urges the need for improved performance of current assays to detect potential allergens in food products. Therein, the focus has been on aptamer-based biosensors in recent years. In this paper we report for the first time the selection of aptamers against one of the most important peanut allergens, Ara h 1. Several Ara h1 DNA aptamers were selected after eight selection rounds using capillary electrophoresis (CE)-SELEX. The selected aptamers specifically recognized Ara h 1 and did not significantly bind with other proteins, including another peanut allergen Ara h 2. The dissociation constant of a best performing aptamer was in the nanomolar range as determined independently by three different approaches, which are surface plasmon resonance, fluorescence anisotropy, and capillary electrophoresis (353 ± 82 nM, 419 ± 63 nM, and 450 ± 60 nM, respectively). Furthermore, the selected aptamer was used for bioassay development on a home-built fiber optic surface plasmon resonance (FO-SPR) biosensor platform for detecting Ara h 1 protein in both buffer and food matrix samples demonstrating its real potential for the development of novel, more accurate aptamer-based biosensors. In conclusion, the reported aptamer holds a great potential for the detection of Ara h 1 in both the medical field and the food sector due to its high affinity and specificity for the target protein.

Nanocrystalline diamond impedimetric aptasensor for the label-free detection of human IgE.

Like antibodies, aptamers are highly valuable as bioreceptor molecules for protein biomarkers because of their excellent selectivity, specificity and stability. The integration of aptamers with semiconducting materials offers great potential for the development of reliable aptasensors. In this paper we present an aptamer-based impedimetric biosensor using a nanocrystalline diamond (NCD) film as a working electrode for the direct and label-free detection of human immunoglobulin E (IgE). Amino (NH(2))-terminated IgE aptamers were covalently attached to carboxyl (COOH)-modified NCD surfaces using carbodiimide chemistry. Electrochemical impedance spectroscopy (EIS) was applied to measure the changes in interfacial electrical properties that arise when the aptamer-functionalized diamond surface was exposed to IgE solutions. During incubation, the formation of aptamer-IgE complexes caused a significant change in the capacitance of the double-layer, in good correspondence with the IgE concentration. The linear dynamic range of IgE detection was from 0.03 µg/mL to 42.8 µg/mL. The detection limit of the aptasensor reached physiologically relevant concentrations (0.03 µg/mL). The NCD-based aptasensor was demonstrated to be highly selective even in the presence of a large excess of IgG. In addition, the aptasensor provided reproducible signals during six regeneration cycles. The impedimetric aptasensor was successfully tested on human serum samples, which opens up the potential of using EIS for direct and label-free detection of IgE levels in blood serum.

Selection and characterization of DNA aptamers for egg white lysozyme.

We have selected aptamers binding to lysozyme from a DNA library using capillary electrophoresis-systematic evolution of ligands by exponential enrichment. During the selection process the dissociation constant of the ssDNA pool decreased from the micromolar to the low nanomolar range within five rounds of selection. The final aptamer had a dissociation constant of 2.8 +/- 0.3 nM, 6.1 +/- 0.5 nM, and 52.9 +/- 9.1 nM as determined by fluorescence anisotropy, surface plasmon resonance and affinity capillary electrophoresis respectively. The aptamers were successfully challenged for specificity against other egg white proteins. The high affinity aptamers open up possibilities for the development of aptamer based food and medical diagnostics.