dc.contributor.author |
Chammas, Habib Jawdat |
dc.date.accessioned |
2012-06-13T06:42:57Z |
dc.date.available |
2012-06-13T06:42:57Z |
dc.date.issued |
1996 |
dc.identifier.uri |
http://hdl.handle.net/10938/5112 |
dc.description |
Thesis (M.S.)--American University of Beirut. Department of Food Technology and Nutrition,1996.;"Advisor: Imad Toufeili, Associate Professor, Food Technology and Nutrition -- Member of Committee: Raja Tannous. Professor, Food Technology and Nutrition Mic |
dc.description |
Bibliography: leaves 53-55. |
dc.description.abstract |
Regression analysis of the magnitude estimates of 9 manual and 7 oral attributes was utilized to identify' the key textural traits of Arabic bread. The best average coefficient of determination (R ) of the triplets predicting the remaining manual attribut |
dc.format.extent |
xii, 55 leaves : ill. cm. |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ST:003767 AUBNO |
dc.subject.lcsh |
Pita bread |
dc.title |
Identification of key textural attributes of Arabic bread. - by Habib Jawdat Chammas |
dc.type |
Thesis |
dc.contributor.department |
American University of Beirut. Faculty of Agricultural and Food Sciences. Department of Food Technology and Nutrition |