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About pycnometric density measurements.

M Viana1, P Jouannin, C Pontier

  • 1GEFSOD EA 2631, Laboratoire de Pharmacie galénique, Faculté de Pharmacie 2, rue du Docteur Marcland, 87025 Limoges Cedex, France.

Talanta
|October 31, 2008
PubMed
Summary
This summary is machine-generated.

Accurate pycnometric density measurements, using helium pycnometers, are crucial for characterizing crystalline structures and detecting impurities. Optimal operating conditions are essential to achieve high accuracy (0.02%) in density determination.

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Area of Science:

  • Materials Science
  • Physical Chemistry

Background:

  • Pycnometric density is a key parameter approximating true density, derived from molecular weight and crystalline lattice.
  • Helium pycnometers provide an easy-to-use and rapid method for density determination, with automated systems available.
  • Accurate density data is vital for characterizing crystalline structures, including polymorphs, amorphous states, defects, pores, and impurities.

Purpose of the Study:

  • To evaluate the reliability and accuracy of density measurements using the AccuPyc 1330 pycnometer.
  • To determine the confidence levels achievable in pycnometric density measurements under varying conditions.

Main Methods:

  • Experiments were conducted using glass beads, quartz, and mannitol as test materials.
  • The AccuPyc 1330 helium pycnometer was employed for density measurements.
  • Various operating parameters were systematically varied to assess their impact on accuracy.

Main Results:

  • Operating parameters significantly influence the accuracy of pycnometric density measurements, with potential variations up to 0.1% or more.
  • Under optimal conditions, an accuracy of 0.02% for pycnometric density can be achieved.
  • Material type and standard volume variations also impact the measurement accuracy.

Conclusions:

  • The AccuPyc 1330 pycnometer can provide highly accurate density measurements (0.02%) when operated under optimal conditions.
  • Deviations from optimal parameters can lead to reduced accuracy, highlighting the importance of careful method validation.
  • Understanding the influence of operating parameters is critical for reliable characterization of materials using pycnometric density.