Particle Size Analysis Lab Experiment PDF

Lab experiment Particle Size Analysis By Using Sieving Method The advantages of sieving method are simple, inexpensive, rapid and reproducible. The sieve consists of screen and frame Fig. 1. The size of the sieve (sieve number) can be in micrometer or in mesh (mesh is the number of openings per lin...

Lab experiment Particle Size Analysis By Using Sieving Method The advantages of sieving method are simple, inexpensive, rapid and reproducible. The sieve consists of screen and frame Fig. 1. The size of the sieve (sieve number) can be in micrometer or in mesh (mesh is the number of openings per linear inch). Fig.2 Fig.2 sleve Fig.1 set of sleves and sleve vibrator Sieve divided the powder into two fractions, above the specified size and below the specified size, however, in order to perform particle size analysis by using sieving method a set of sieves (at least five sieves and collector) must be used. Sieving method measures the size of the particles in the sieve range (above 45 micrometer). A stack of sieves is arranged in order, the powder placed in the top sieve, the stack shaken, the quantity of powder resting on each sieve weighed, and this calculation performed. The data obtained after particle size analysis is presented in a table form as following (Table.1) Factors influencing the sieving method Factors are * Weight of sample, * Duration of shaking and type of motion. * The types of motion influencing sieving The types of motion sieving Vibratory motion, (most efficient), Side tap motion, Bottom pat motion, rotary motion with tap and rotary motion. The type of motion standardized Care should be taken in order to get reproducible results Introduction Powderis a non-homogenous mixture (in terms of shapes and sizes) It delined as a mixture of dry discrete particles interspersed with void space with a maximum dimensions of less than 1000 um. The distribution of the particles in the powder bed between the smallest particles and the largest particles is called particle size distribution. Particle size analysis (particle size distribution measurement) is a process of fractionation of the powder bed into different fraction according to their size and determination of the percentage and the mean particle size of each fraction. Importance of particle size analysis :- The particle size analysis (information on mean particle size and particle size distribution of materials) is of great importance. Particle size distribution has a great effect on processability and behavior of a material in different unit operations used in drug manufacturing. Furthermore, the particle size has a significant effect on disintegration time, dissolution rates, bioavailability and stability of the products. -Particle size analysis technique A number of methods exist for the determination of particle size:- 1. Sieving method 2. Image analysis method 3. Coulter counter method 4. Sedimentation method 5. Laser diffraction method However, the definition of the particle size depends on the measurement method. Meanwhile, The choice of suitable method depends on the material characteristicsand the type of information required. During any particle size analysis experiments, representative samples of the bulk powder must be analysed. The definition of the sample is expressed as "a portion of The whole, selected in such a way as to be truly representative of the whole. After performing particle size analysis (particle size distribution is be broken down into different size ranges) a data which consists of a series of fractions of various sizeranges well be obtained. Thís data obtained can be presented in tabular form or graphical form. Tabular formis the most precise method. The graphical method is commonly used because it is more concise and permits easy visualization of the mean and skewness of distribution. Graphical form can be plotted as following:. % Oversize (Presents all particles larger than the specified range). % Undersize (Presents all particles smaller than the specified range). Distribution curve.Histogram Table.1 Particles size analysis Mean diameter (d) = upper sieve + lower sieve/2 %W/W = (w/ w)*100 The data obtained after particle size analysis is presented in a graphical form as following.Fig. 3 Distribution curve Histogram % % Particle size Particle size % Undersize % Oversize Particle size Particle size