Surface plasmon resonance biosensing: Approaches for screening and characterising antibodies for food diagnostics

Research in biosensing approaches as alternative techniques for food diagnostics for the detection of chemical contaminants and foodborne pathogens has increased over the last twenty years. The key component of such tests is the biorecognition element whereby polyclonal or monoclonal antibodies still dominate the market. Traditionally the screening of sera or cell culture media for the selection of polyclonal or monoclonal candidate antibodies respectively has been performed by enzyme immunoassays. For niche toxin compounds, enzyme immunoassays can be expensive and/or prohibitive methodologies for antibody production due to limitations in toxin supply for conjugate production. Automated, self-regenerating, chip-based biosensors proven in food diagnostics may be utilised as rapid screening tools for antibody candidate selection. This work describes the use of both single channel and multi-channel surface plasmon resonance (SPR) biosensors for the selection and characterisation of antibodies, and their evaluation in shellfish tissue as standard techniques for the detection of domoic acid, as a model toxin compound. The key advantages in the use of these biosensor techniques for screening hybridomas in monoclonal antibody production were the real time observation of molecular interaction and rapid turnaround time in analysis compared to enzyme immunoassays. The multichannel prototype instrument was superior with 96 analyses completed in 2 h compared to 12 h for the single channel and over 24 h for the ELISA immunoassay. Antibodies of high sensitivity, IC(50)'s ranging from 4.8 to 6.9 ng/mL for monoclonal and 2.3–6.0 ng/mL for polyclonal, for the detection of domoic acid in a 1 min analysis time were selected. Although there is a progression for biosensor technology towards low cost, multiplexed portable diagnostics for the food industry, there remains a place for laboratory-based SPR instrumentation for antibody development for food diagnostics as shown herein

Policy interpretations and manifestation of biocultural diversity in urbanized Europe : conservation of lived biodiversity

Biocultural diversity, which refers to the inextricable link between biodiversity and cultural diversity, has been predominantly associated with the traditional ways in which indigenous people in tropical countries interact with the natural environment. But it does not have to be restricted to these circumstances. Biocultural diversity may also be regarded as an interesting concept for understanding how people in industrialized and globalized societies deal with nature. This paper explores biocultural diversity in 20 European cities by considering (i) how biocultural diversity is interpreted in urban planning and governance, and (ii) what actual manifestations of biocultural diversity are present in these cities. Despite the fact that the concept of biocultural diversity was hardly recognized by city authorities, interviewees gave many examples of how biodiversity and cultural diversity are taken into account in (in) formal city policies. The research revealed two main manifestations of biocultural diversity within urban Europe: biocultural diversity grounded in ecological features, and cultural values as a basic foundation for biocultural diversity. Consequently, urban biocultural diversity was found to have two spatial levels: the city level and the site level. The former is the domain of governmental policy makers who discuss biocultural diversity in 'green space networks' in a rather static way. The latter is the domain where citizens participate in decisionmaking and the management of green spaces; it is here that cultural dynamics are most acknowledged.Peer reviewe

Dynamic shipments of inventories in shared warehouse and transportation networks

In shared warehouse and transportation networks, dynamic shipments of inventories are carried out based on up-to-date inventory information. This paper studies the effect of network structures on optimal decision-making. We propose a discrete time modeling framework with stochastic demand, capturing a wide variety of network structures. Using Markov decision processes, we obtain optimal order and dynamic shipment decisions for small networks. We compare optimal solutions of different four-node network structures. Results indicate product characteristics significantly influence the effectiveness of network structures. Surprisingly, two-echelon networks are occasionally costlier than any other network. Moreover, dynamic shipments yield considerable gains over static shipments

Verbeter uw resultaten met nieuw computerprogramma SaldoRegistratie Schapen

Het programma is specifiek voor de schapenhouderij ontwikkeld en biedt schapenhouders de mogelijkheid een goed inzicht te krijgen in de bedrijfsvoering. Het is hiermee een nuttig hulpmiddel bij het verbeteren van de bedrijfsresultaten en daarmee het inkomen uit de schapenhouderij