Book Review: Nitrosamines. Toxicology and Microbiology.(Ellis Horwood Series in Food Science and Technology). Edited by M. J. Hill

1990 ◽  
Vol 29 (2) ◽  
pp. 220-221
Author(s):  
Manfred Metzler
Keyword(s):  
Science And Technology ◽  
Food Science

Ghana's indigenous food technology: A review of the processing, safety, packaging techniques and advances in food science and technology

Food Control ◽  
2021 ◽  
Vol 127 ◽  
pp. 108116
Author(s):  
John Dzikunoo ◽  
Emmanuel Letsyo ◽  
Zeenatu Adams ◽  
David Asante-Donyinah ◽  
Courage Sedem Dzah
Keyword(s):  
Science And Technology ◽  
Food Science ◽  
Food Technology

scholarly journals Background, Applications and Issues of the Experimental Designs for Mixture in the Food Sector

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1128
Author(s):  
Giacomo Squeo ◽  
Davide De Angelis ◽  
Riccardo Leardi ◽  
Carmine Summo ◽  
Francesco Caponio
Keyword(s):  
Science And Technology ◽  
Experimental Designs ◽  
Food Science ◽  
Modified Atmosphere ◽  
Global Knowledge ◽  
Food Sector ◽  
Life Improvement ◽  
Technology Modeling ◽  
Mixture Designs ◽  
Simplex Lattice

Background: Mixtures play a key role in Food Science and Technology. For studying them, rational approaches should be used. In detail, the experimental designs for mixtures are useful tools for studying the effects of ingredients/components in formulations. Results: Food Science and Technology is the fourth category among the total records considered in this review. The applications span from food formulation to the composition of modified atmosphere, shelf-life improvement and bioactives extraction. However, the majority of the studies regards few products and ingredients. Simplex-lattice and simplex-centroid designs are the most common used, although some optimal designs, such as the D-optimal, have also interesting applications. Finally, some issues are highlighted, which basically regard the interpretation of the models coefficients and the lack of model validation. Conclusion: In the last decade, mixture designs have been fairly used in the field of Food Science and Technology. Modeling the response(s) allows researchers to achieve a global knowledge of the system under study within the defined experimental domain. However, the majority of application has regarded limited classes of products, and thus an increase in the spectrum of applications is desired.

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