Staff publications - Cranfield Health

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Browsing Staff publications - Cranfield Health by Publisher "Elsevier Science B.V., Amsterdam"

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    A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints
    (Elsevier Science B.V., Amsterdam, 2011-06-30T00:00:00Z) Panagou, Efstathios Z.; Mohareb, Fady R.; Argyri, Anthoula A.; Bessant, Conrad M.; Nychas, George-John E.
    A series of partial least squares (PLS) models were employed to correlate spectral data from FTIR analysis with beef fillet spoilage during aerobic storage at different temperatures (0, 5, 10, 15, and 20°C) using the dataset presented by Argyri etal. (2010). The performance of the PLS models was compared with a three-layer feed-forward artificial neural network (ANN) developed using the same dataset. FTIR spectra were collected from the surface of meat samples in parallel with microbiological analyses to enumerate total viable counts. Sensory evaluation was based on a three-point hedonic scale classifying meat samples as fresh, semi-fresh, and spoiled. The purpose of the modelling approach employed in this work was to classify beef samples in the respective quality class as well as to predict their total viable counts directly from FTIR spectra. The results obtained demonstrated that both approaches showed good performance in discriminating meat samples in one of the three predefined sensory classes. The PLS classification models showed performances ranging from 72.0 to 98.2% using the training dataset, and from 63.1 to 94.7% using independent testing dataset. The ANN classification model performed equally well in discriminating meat samples, with correct classification rates from 98.2 to 100% and 63.1 to 73.7% in the train and test sessions, respectively. PLS and ANN approaches were also applied to create models for the prediction of microbial counts. The performance of these was based on graphical plots and statistical indices (bias factor, accuracy factor, root mean square error). Furthermore, results demonstrated reasonably good correlation of total viable counts on meat surface with FTIR spectral data with PLS models presenting better performance indices compared to ANN.
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    Editorial, Seminars in Cell & Developmental Biology
    (Elsevier Science B.V., Amsterdam, 2009-02-01T00:00:00Z) Davis, Frank; Higson, Seamus P. J.
    It is a pleasure to introduce this special edition of Cell and Development Biology dedicated to the field and application of Biosensors. This edition comprises seven reviews covering the most active research areas where we believe some of the most prominent advances in the field are likely to emerge in the near to medium term. In line with scope of this journal, some emphasis is given towards techniques applicable to Cell Biology.
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    Growth Of Salmonella Enteritidis And Salmonella Typhimurium In The Presence Of Quorum Sensing Signalling Compounds Produced By Spoilage And Pathogenic Bacteria
    (Elsevier Science B.V., Amsterdam, 2014-06-10) Dourou, Dimitra; Ammor, Mohammed Salim; Skandamis, Panagiotis N.; Nychas, George-John E.
    The effect of acylated homoserine lactones (AHLs) and autoinducer-2 (AI-2) signalling compounds present in the cell-free culture supernatants (CFS), of Pseudomonas aeruginosa, Yersinia enterocolitica-like GTE 112, Serratia proteamaculans 00612, Y. enterocolitica CITY650 and Y. enterocolitica CITY844, on the growth of two Salmonella Enteritidis and two S. Typhimurium strains was assessed though monitoring of changes in conductance of the medium. Detection times (Tdet), area and slope of conductance curves were recorded. Except for P. aeruginosa 108928, which was not found to produce AI-2, all other strains produced both AHLs and AI-2. Thereafter, aliquots (20% in the final volume) of these CFS were transferred into NZ Amine broth inoculated with ca. 103CFU/ml of stationary phase cultures of each Salmonella strain. While the CFS of P. aeruginosa induced a shorter detection time, i.e. acceleration of the metabolic activity, the CFS of the other microorganisms increased the detection time of Salmonella strains compared to control samples (i.e. without CFS). Results indicate that the growth of Salmonella may be affected by the presence of Quorum sensing (QS) signalling compounds and/or other novel signals existing in CFS, produced by other bacterial species and confirm the complexity of bacterial communication.
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    Temperature and water activity effects on production of T-2 and HT-2 by Fusarium langsethiae strains from north European countries
    (Elsevier Science B.V., Amsterdam, 2011-05-06T00:00:00Z) Medina-Vayá, Ángel; Magan, Naresh
    This study has examined the effect of ecophysiological factors, water activity (aw, 0.995-0.90) and temperature (10-37°C), on the T-2 and HT-2 toxins production by Fusarium langsethiae. Two dimensional profiles for optimum and marginal conditions have been built for two strains from each of four northern European countries (UK, Norway, Sweden, Finland) on an oat-based medium. This showed thatthe optimum aw and temperature conditions for T-2+HT-2 production was between 0.98-0.995, and 20-30°C respectively. Kruskal-Wallis analysis of ranks showed a statistically significant differences between the different aw levels examined (P<0.001) but no significant effect of the temperatures examined. The ratio of HT-2/T-2 was investigated and non-uniform distribution of HT-2 toxin was found under different ecological conditions. No statistically significant differences were found for the mean toxin production between strains from the different countries. Intra-strain differences in toxin production was only found for those from Finland (P-value=0.0247). The growth/no growth and toxin/no toxin conditions in relation to awxtemperature have been constructed for the first time. This knowledge will be useful in developing prevention strategies to minimise T-2 and HT-2 toxin contamination by strains of F. langsethiae on important small grain cereal