By Gustavo V Barbosa-Cánovas; et al
Addresses key points of nutrition powder know-how. This e-book provides a accomplished overview at the characterization of constituents, semi-processed and accomplished items after they are in a powdered shape. It comprises the outline of other commercial unit operations similar to drying, grinding, blending, agglomeration, and encapsulation.
content material: Preliminaries; CONTENTS; 1 Sampling; 2 Particle houses; three Bulk houses; four garage; five Conveying; 6 dimension aid; 7 dimension expansion; eight Encapsulation tactics; nine blending; 10 Separation and class; eleven Drying; 12 bad Phenomena and Their Relation to Processing; Index.
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Extra info for Food powders : physical properties, processing, and functionality
Thus, for any given particle, Martin’s and Feret’s diameters could be radically different and, also, both different from a circle of equal perimeter or equal area (see Fig. 1). In practice, most of the equivalent diameters will be measured indirectly to a given number of particles taken from a representative sample and, therefore, it would be more practical to use a quick, less accurate measure on a large number of particles than a very accurate measure on few particles. Also, it would be difﬁcult to perceive the above-mentioned equivalence of the actual particles with an ideal sphericity.
2. Equivalent spheres. no attempt at quantiﬁcation, can be beneﬁcial. Shape can be used as a ﬁlter before size classiﬁcation is performed. For example, as shown in Fig. 3, all rough outlines could be eliminated by using the ratio (perimeter):(convex perimeter), or all particles with an extreme elongation ratio. The earliest methods of describing the shape of particle outlines used length L, breadth or width B, and thickness T in expressions such as the elongation ratio (L/B) and the ﬂakiness ratio (B/T ) (Fig.
Most particle size measurement techniques result in a cumulative percentage F(x). Thus, according to Eq. 17), if F(x) is plotted against g(x) for a number of corresponding sizes, g(x) is then represented by the area under the curve with respect to the F(x) axis, as illustrated in Fig. 13. 8, while F(x) is plotted as percentage oversize or undersize. 8. Mean diameters as a function of g(x) (modiﬁed from Svarovsky, 1981). 13. Evaluation of a mean x¯ from the cumulative percentage F(x) (modiﬁed from Svarovsky, 1981).