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Titolo:
A model for predicting mould growth and subsequent heat generation in bulkstored grain
Autore:
Wilson, MT;
Indirizzi:
Silsoe Res Inst, Silsoe MK45 4HS, Beds, England Silsoe Res Inst Silsoe Beds England MK45 4HS lsoe MK45 4HS, Beds, England
Titolo Testata:
JOURNAL OF STORED PRODUCTS RESEARCH
fascicolo: 1, volume: 35, anno: 1999,
pagine: 1 - 13
SICI:
0022-474X(199901)35:1<1:AMFPMG>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Soggetto:
ASPERGILLUS-FLAVUS; CARBON-DIOXIDE; FUNGAL GROWTH; TEMPERATURE; WHEAT; FERMENTATION;
Keywords:
stored grain; heat; carbon dioxide; moulds; modelling;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
21
Recensione:
Indirizzi per estratti:
Indirizzo: Wilson, MT DERA, Portsdown Hill Rd, Fareham PO17 6AD, Hants, England DERA Portsdown Hill Rd Fareham Hants England PO17 6AD , England
Citazione:
M.T. Wilson, "A model for predicting mould growth and subsequent heat generation in bulkstored grain", J STORED PR, 35(1), 1999, pp. 1-13

Abstract

A mathematical model is proposed to predict the rate of heat and carbon dioxide production due to mould growth in stored grain. Unlike previous models, it is intended to be applicable in conditions that change with time. Starting from a model for mould growth in varying conditions the work of a number of authors is combined to produce a model to predict the heat production at all parts in a grain bulk. The effects of temperature and relative humidity (r.h.) on the mould growth rate are decoupled, so that the resulting equation for mould growth is a product of one-parameter terms. The heat generation rate is then written as a specific function of the mould populationand mould growth rate. The model's current predictions for very wet grain are good. For drier grain, the model performs less well because of the difficulty in parameterising the sorption curve. Allowance was made in the model for the 'lag-phase' of mould growth. The heat generation rate, which is controlled by positive feedback, was found to be very sensitive to changes in the description of the rate of mould growth as a function of environmental conditions. The model relies on knowledge of the variation of the maximumgrowth rate of mould with environmental conditions. For the range of conditions found in a typical grain store, such data are incomplete, and must beadded to before the model can be fully implemented. (C) 1998 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 09/07/20 alle ore 19:21:55