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Winter 1970
A Closer Look at Watering by Holman M. Griffin (page 3) Sulphur in Turfgrass Fertilization by J.D. Beaton (5) Those Extras on a Golf Course by Jack Fairhurst (9) Turf Bulletin\u27s Photo Quiz by Fred Cheney (9) Progress in Research on Live Oak Decline by E.P. Van Arsdel and Robert S. Halliwell (10) Editorial (15) The Perfermance Characteristics of Kentucky Bluegrass Mixtures by F.V. Juska and A.A. Hanson (16) Moss (23
Computational shelf-life dating : complex systems approaches to food quality and safety
Shelf-life is defined as the time that a product is acceptable and meets the consumers expectations regarding food quality. It is the result of the conjunction of all services in production, distribution, and consumption. Shelf-life dating is one of the most difficult tasks in food engineering. Market pressure has lead to the implementation of shelf-life by sensory analyses, which may not reflect the full quality spectra. Moreover, traditional methods for shelf-life dating and small-scale distribution chain tests cannot reproduce in a laboratory the real conditions of storage, distribution, and consumption on food quality. Today, food engineers are facing the challenges to monitor, diagnose, and control the quality and safety of food products. The advent of nanotechnology, multivariate sensors, information systems, and complex systems will revolutionize the way we manage, distribute, and consume foods. The informed consumer demands foods, under the legal standards, at low cost, high standards of nutritional, sensory, and health benefits. To accommodate the new paradigms, we herein present a critical review of shelf-life dating approaches with special emphasis in computational systems and future trends on complex systems methodologies applied to the prediction of food quality and safety.Fundo Europeu de Desenvolvimento Regional (FEDER) - Programa POS-ConhecimentoFundação para a Ciência e a Tecnologia (FCT) - SFRH/BPD/26133/2005, SFRH/ BPD/20735/200
Development of Cronartium flaccidum (Alb. et Schw.) Wint. on Vincetoxicum officinale Moench in Connection with some Environmental Factors
Effect of Light, Temperature and Substrate during Spore Formation on the Germinability of Conidia of Colletotrichum falcatum
Full automation in allergy testing: measurement of specific IgE by the ENEA System.
We evaluated the ENEA System, a fully automated instrument for the measurement of specific IgE antibodies. The instrument dispenses sera and reagents, incubates, washes, and reads and prints results automatically. The "core" of the instrument is the reactive unit called ACE (Allergy Chamber Enzymatic), which is a new solid phase to which the allergens are linked. The system uses calibration curves specific for the major allergen families, and data are supplied qualitatively (five classes) and quantitatively. We evaluated the analytic efficiency of the system and its correlation with the in vivo test (skin prick test (SPT)) results in 60 patients with inhalant allergic diseases and in 20 controls. Results: 450 results were available within 4 h. A satisfactory within-run (CVs between 1.58 and 6.2%) and between-run (CVs 6.3-11.5%) precision was found. No significant carry-over was observed. A wide linearity of the assay was demonstrated. With the concordance between the clinical history and SPT as the reference value, the clinical sensitivity of the ENEA System was 84.1%, the specificity 82.8%, and the overall efficiency 83.4%. Finally, a good agreement with the results of another technique for the in vitro measurement of specific IgE (Pharmacia CAP System) was proven
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