Table of contents 1 Why is particle size important?



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Particle Guidebook 09-2019

1.0
2.5
3.0
3.5
0
0
1
2
3
4
5
5
10
15
20
25
30
35
2.0
1.5
0.9
1.2
1.3
1.4
1.1
1.0
CONCENTRATION OF POLYSTYRENE 96kDa
(mg/mL) 
AND CHLOROPHYLL
CONCENTRATION OF POLYSTYRENE 1kDa
(mg/mL)
POLYSTYRENE (1kDa)
CHLOROPHYLL
POLYSTYRENE (96kDa)
KC/R OF POL
YSTYRENE 1kDa
(1
0
-3
mol/g)
KC/R OF POL
YSTYRENE 96kDa
(1
0
-5
mol/g)
AND CHLOROPH
YL
L
24


The microscope has always been the referee technique in particle
characterization since it is accepted as the most direct measurement 
of particle size and morphology. Automating manual microscopy has 
been driven by the desire to replace a tedious, somewhat subjective 
measurement with a sophisticated technique for quantifying size and shape 
of a sufficient number of particles to assure statistical confidence with the 
end result. Analysts performing manual microscopy tend to describe particle shape 
using language such as round, blocky, sharp, fibrous, etc. By assigning quantitative
values rather than qualitative to various shape descriptors, image analysis systems 
provide numerical distributions of well defined shape parameters
Two distinct development paths have emerged over time differing in how the sample 
is introduced to the measurement zone: dynamic image analysis where particles flow
past one or more cameras and static image analysis where particles sit on a slide 
moved by an automated stage for inspection by camera and microscope.
Many basic functions operate the same with either approach (Figure 
29): particles are presented to the measurement zone, images are 
captured with a digital (CCD) camera, the particles are distinguished 
from the background, various size and shape parameters are measured 
for each particle, and a result report is 
generated. Additional features built into modern 
image analysis software include the ability to 
automatically separate two particles touching each 
other, filling holes, smoothing or removing small
protuberances, separating overlapping a cicular 
objects, and keeping track of incomplete objects 
in a field in order to recombine them once all
fields are analyzed.
IMAGE 
ANALYSIS
TECHNIQUE 
CAMSIZER X2 & P4 

PSA300
CAMSIZER P4 dynamic image analysis
RANGE IN MICRONS
20µm - 30mm
OPTIMAL APPLICATIONS
POWDERS
WEIGHT 40kG (88 lbs) w/o computer
FOOTPRINT 
WIDTH 850mm (33.5”)
DEPTH 350mm (14”) 
HEIGHT 650mm (26”)
CAMSIZER X2 dynamic image analysis
RANGE IN MICRONS
0.8µm - 8mm
OPTIMAL APPLICATIONS
POWDERS
WEIGHT 50kG (110 lbs) w/o computer
FOOTPRINT 
WIDTH 850mm (33.5”)
DEPTH 570mm (22.5”) 
HEIGHT 580mm (23”)
PSA300
 static image analysis
RANGE IN MICRONS
0.5nm - 1,000µm
OPTIMAL APPLICATIONS
POWDERS AND SUSPENSIONS
WEIGHT 34kG (75 lbs) w/o computer
FOOTPRINT 
WIDTH 686mm (27”)
DEPTH 483mm (19”) 
HEIGHT 446mm (17.5”)



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