652 research outputs found

    Use of TD-GC–TOF-MS to assess volatile composition during post-harvest storage in seven accessions of rocket salad (Eruca sativa). BELL L, SPADAFORA D.N. contributed equally to the work

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    An important step in breeding for nutritionally enhanced varieties is determining the effects of the postharvest supply chain on phytochemicals and the changes in VOCs produced over time. TD-GC–TOF-MS was used and a technique for the extraction of VOCs from the headspace using portable tubes is described. Forty-two compounds were detected; 39 were identified by comparison to NIST libraries. Thirty-five compounds had not been previously reported in Eruca sativa. Seven accessions were assessed for changes in headspace VOCs over 7 days. Relative amounts of VOCs across 3 time points were significantly different – isothiocyanate-containing molecules being abundant on ‘Day 0’. Each accession showed differences in proportions/types of volatiles produced on each day. PCA revealed a separation of VOC profiles according to the day of sampling. Changes in VOC profiles over time could provide a tool for assessment of shelf life

    Perturbation of cytokinin and ethylene-signalling pathways explain the strong rooting phenotype exhibited by Arabidopsis expressing the Schizosaccharomyces pombe mitotic inducer, cdc25

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    Background Entry into mitosis is regulated by cyclin dependent kinases that in turn are phosphoregulated. In most eukaryotes, phosphoregulation is through WEE1 kinase and CDC25 phosphatase. In higher plants a homologous CDC25 gene is unconfirmed and hence the mitotic inducer Schizosaccharomyces pombe (Sp) cdc25 has been used as a tool in transgenic plants to probe cell cycle function. Expression of Spcdc25 in tobacco BY-2 cells accelerates entry into mitosis and depletes cytokinins; in whole plants it stimulates lateral root production. Here we show, for the first time, that alterations to cytokinin and ethylene signaling explain the rooting phenotype elicited by Spcdc25 expression in Arabidopsis. Results Expressing Spcdc25 in Arabidopsis results in increased formation of lateral and adventitious roots, a reduction of primary root width and more isodiametric cells in the root apical meristem (RAM) compared with wild type. Furthermore it stimulates root morphogenesis from hypocotyls when cultured on two way grids of increasing auxin and cytokinin concentrations. Microarray analysis of seedling roots expressing Spcdc25 reveals that expression of 167 genes is changed by > 2-fold. As well as genes related to stress responses and defence, these include 19 genes related to transcriptional regulation and signaling. Amongst these was the up-regulation of genes associated with ethylene synthesis and signaling. Seedlings expressing Spcdc25 produced 2-fold more ethylene than WT and exhibited a significant reduction in hypocotyl length both in darkness or when exposed to 10 ppm ethylene. Furthermore in Spcdc25 expressing plants, the cytokinin receptor AHK3 was down-regulated, and endogenous levels of iPA were reduced whereas endogeous IAA concentrations in the roots increased. Conclusions We suggest that the reduction in root width and change to a more isodiametric cell phenotype in the RAM in Spcdc25 expressing plants is a response to ethylene over-production. The increased rooting phenotype in Spcdc25 expressing plants is due to an increase in the ratio of endogenous auxin to cytokinin that is known to stimulate an increased rate of lateral root production. Overall, our data reveal important cross talk between cell division and plant growth regulators leading to developmental changes

    ADIABATIC CONDITIONS FOR FINANCIAL SYSTEMS

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    In the Black-Scholes context we consider the probability distribution function (PDF) of financial returns implied by volatility smile and we study the relation between the decay of its tails and the fitting parameters of the smile. We show that, considering a scaling law derived from data, it is possible to get a new fitting procedure of the volatility smile that considers also the exponential decay of the real PDF of returns observed in the financial markets. In addiction, we show that this approach based on a volatility smile leads to relative minima for the distribution function ("bad" probabilities) never observed in real data and, in the worst cases, negative probabilities. We show that these undesirable effects can be eliminated by requiring "adiabatic" conditions on the volatility smile. Our study finds application in the Risk Management activities where the tails characterization of financial returns PDF has a central role for the risk estimation

    Detection of Protein–Protein Interactions in Tobacco BY-2 Cells Using Bimolecular Fluorescence Complementation

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    Knowledge of protein–protein interactions in the plant cell is invaluable for furthering our understanding of the functions of these proteins. Many of the methods available for the study of these interactions, such as yeast two-hybrid and co-immunoprecipitation assays, rely on in vitro techniques. Here we describe the use of bimolecular fl uorescence complementation for the study of protein–protein interactions in vivo, using simple techniques and accessible materials

    Spare Parts Management: an Optimized Service Level-based Model for Inventory Control

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    Spare parts optimization can significantly reduce inventory costs while avoiding compromising equipment availability. However, the distinctive trend of spare parts demand makes it difficult to establish the optimal stock level. Many literature studies address and classify the different criticalities of spare parts, but there is a lack of workable and structured tools related to the effective management of these items. For this reason, this paper proposes a practical approach to compute the stock quantities by setting a target service level, which is pre-defined by considering some critical factors, ad-hoc tuned to the company’s needs. The presented approach is composed of three sequential steps: the first aims at classifying the demand time series behavior as intermittent, lumpy, erratic, or smooth; then, forecasting methods are applied to predict consumption events, and the forecasting accuracy metrics are compared to identify the optimal one, per each item; lastly, reorder strategies are selected according to the results of the previous steps and reorder events are triggered by the probability of achieving the target service level for the next time bucket. This model has been validated in a pharmaceutical manufacturing facility, leading to excellent results in reducing stockholding costs

    Determination of 2-Methyisoborneol and Geosmin as Malodours in Catfish for Quality Control Using a Fully Automated Sample Prep Platform Coupled with Gas Chromatography and Mass Spectrometry

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    Accumulation of off-flavours and odours in fish flesh are a major contributor towards a decrease in fish meat quality because of the dislike by consumers. This is typically caused by two compounds, geosmin (GM) and 2-methylisoborneol (2-MIB), produced as secondary by-products of bacterial metabolism in water. These compounds have very low human sensory detection limits (or odour thresholds), which means that they can be present at trace-levels and still be detected with a human nose. Due to the lipophilic properties of these compounds their extraction from the fish tissue and subsequent analysis can be hindered due to simultaneous extraction of other volatile organic compounds (VOCs) which are present at much higher concentration levels. Lengthy extraction techniques such as steam distillation are typically required to extract the target compounds from the other VOCs present, producing cleaner chromatography. However, this is time consuming and manually labour-intensive for the analyst. Here we demonstrate a simple, solvent-free and fully-automated technique using high-capacity sorptive extraction (HiSorb) coupled with Gas Chromatography and Mass Spectrometry for the identification of GM and 2-MIB at ppt-levels (pg/g) in catfish samples. The ‘prep-ahead’ functionality of the extraction and enrichment platform, Centri, provided enhanced sample management for increased sample throughput without compromising analytical sensitivity

    Developmental stimuli and stress factors affect expression of ClGLP1, an emerging allergen-related gene in Citrus limon.

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    be involved in many developmental and stress related processes. A novel GLP cDNA was isolated from Citrus limon and structural features and genomic organization were investigated by in silico and Southern blots analysis. In lemon, the ClGLP1 encodes a 24.38 kDa which possesses a conserved motif of plant GLPs proteins. A phylogetic analysis mapped ClGLP1 as belonging to the GER3 subfamily into the GLP1 group of large GLP family. ClGLP1 was differentially expressed in the various organs and was highest in mature fruit. Moreover, expression in the fruit was tissue- and stage-related as well as dependent on agricultural practice (organic vs conventional). ClGLP1 transcripts increased during the transition from the green (180 days after blooming) to the yellow (240 days after blooming) mature fruit and were strongly enhanced in yellow mature fruit from organic compared with conventional culture. A sudden and systemic increase in ClGLP1 expression level was observed in leaves injured by wounding, together with an increase of endogenous H2O2 amount. Notably, an enhancement of H202 was observed in fruit peel during transition from green to yellow fruit stage. All together our data showed that ClGLP1 expression can be modulated in relation to both developmental stimuli and culture practices; evidence is also provided that through an oxidase activity this gene could play a role in fruit maturation as well as in stress responses
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