Back to Search
Start Over
Measurement of brain tissue specific gravity using pycnometry
- Source :
- Journal of neuroscience methods. 39(3)
- Publication Year :
- 1991
-
Abstract
- In this paper we introduce and characterize pycnometry, a method used to measure fluid density, for determining a tissue's specific gravity. It uses a 2-ml glass pycnometer filled with distilled water to determine a tissue sample's displacement volume. The tissue's density is determined when it's weight is divided by this volume and specific gravity is computed by dividing the tissue density by the density of water. Pycnometry was validated using pre-calibrated glass, specific gravity standards over the range 1.03-1.26, and compared to the density gradient method using rat brain tissue. We observed that the specific gravity values obtained using pycnometry were highly correlated with the specific gravity standards (slope = 1.0107, r = 0.996) and with the density gradient column when tissue volumes larger than 0.120 ml were used with the pycnometer (slope = 1.0707, r = 0.9826). Good correlation was also observed between percent water content values computed using the Nelson equation with pycnometry or density gradient specific gravity values versus the measured percent water content values obtained with the wet weight/dry weight method. Pycnometry is an accurate, reproducible technique to measure tissue specific gravity and brain edema and is best suited for use in a laboratory that engages sporadically in brain edema measurement.
- Subjects :
- Brain Chemistry
Male
Gravity (chemistry)
Materials science
Density gradient
General Neuroscience
Analytical chemistry
Brain
Rats, Inbred Strains
Anatomy
Rats
Volume (thermodynamics)
Body Water
Gas pycnometer
Relative density
Animals
Water content
Displacement (fluid)
Specific Gravity
Specific gravity
Densitometry
Subjects
Details
- ISSN :
- 01650270
- Volume :
- 39
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Journal of neuroscience methods
- Accession number :
- edsair.doi.dedup.....002922ad699888cb37e414bbce353d0d