Laser diffraction measurement

1998 ◽  
Author(s):  
Duogang Ran
2016 ◽  
Vol 5 (1-2) ◽  
pp. 32-37
Author(s):  
András Makó ◽  
József Szabó ◽  
Zsófia Bakacsi ◽  
Sándor Koós ◽  
Gabriella Hauk ◽  
...  

In this research we present the first results how can be used laser diffraction measurement in soil physics practice. The main goals are understanding differences of particle size distribution (PSD) measurments, developing converting methods of PSD data of different determinations. In order to realization of this survey a representative soil database of Hungarian soil types was built up. We compared PSDs of 157 soil samples measured with sieve-pipette method (SPM) and laser diffractometer technique (Malvern Mastersizer 2000) (LDM). Soil textural classes were also determined using the USDA texture triangle. We used the clay/silt fraction boundary values (clay < 0.0066 mm; silt: 0.0066 - 0.05 mm) introduced for the LDM data in order to take them comparable to PSD data determined by the SPM: We got higher similarities of clay and silt fractions of the modified size boundary values. For the used dataset correspondence of texture classes derived from SPM and LDM PSD data, however is not higher than 60%.


Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 559 ◽  
Author(s):  
Edina Simon ◽  
Vanda Éva Molnár ◽  
Béla Tóthmérész ◽  
Szilárd Szabó

Trees are especially useful biological indicators. We tested the suitability of tree leaves (Common Lime) to assess PM5 and PM10 deposition in the three summer months of 2018 in Debrecen city, Hungary. We also tested the usefulness of the cheap and simple gravimetric method to assess the PM deposition, and compared to the expensive, but standard laser diffraction method. We found significant differences between the concentrations of PM10 deposited on tree leaves, and on dust traps. A significant difference was found in the concentration of PM5 only in July. A significant difference was also found in the concentration of PM10 among months based on leaves and dust traps. For PM5 there was a significant difference among months based on leaves deposition. We found a significant positive correlation between the PM10 concentration deposited on leaves and on dust traps. A positive correlation was found between the concentration of PM based on the gravimetric and laser diffraction measurement methods. Our findings pointed out the particulate material’s washing by rain from leaves; thus, dust deposition on the surface of leaves is limited. Our results demonstrated that trees play an important role in the mitigation of air pollution, and they are a useful indicator of PM deposition for biomonitoring studies.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mario Gutierrez ◽  
Mark Shamoun ◽  
Katie Giger Seu ◽  
Tyler Tanski ◽  
Theodosia A. Kalfa ◽  
...  

AbstractIn this work, we utilized a parameterization model of ektacytometry to quantify the bulk rigidity of the rigid red blood cell (RBC) population in sickle cell disease (SCD) patients. Current ektacytometry techniques implement laser diffraction viscometry to estimate the RBC deformability in a whole blood sample. However, the diffraction measurement is an average of all cells present in the measured sample. By coupling an existing parameterization model of ektacytometry to an artificially rigid RBC model, we formulated an innovative system for estimating the average rigidity of the rigid RBC population in SCD blood. We demonstrated that this method could more accurately determine the bulk stiffness of the rigid RBC populations. This information could potentially help develop the ektacytometry technique as a tool for assessing disease severity in SCD patients, offering novel insights into the disease pathology and treatment.


CATENA ◽  
2016 ◽  
Vol 137 ◽  
pp. 392-405 ◽  
Author(s):  
Philipp Schulte ◽  
Frank Lehmkuhl ◽  
Florian Steininger ◽  
David Loibl ◽  
Gregori Lockot ◽  
...  

2014 ◽  
Vol 24 (3) ◽  
pp. 223-249 ◽  
Author(s):  
Christophe Dumouchel ◽  
Jean-Bernard Blaisot

2002 ◽  
Vol 12 (1-3) ◽  
pp. 267-282 ◽  
Author(s):  
Milton E. Teske ◽  
Harold W. Thistle ◽  
Andrew J. Hewitt ◽  
I. W. Kirk

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