Measurement of brain tissue specific gravity using pycnometry Journal Article
| Authors: | DiResta, G. R.; Lee, J.; Arbit, E. |
| Article Title: | Measurement of brain tissue specific gravity using pycnometry |
| 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. © 1991. |
| Keywords: | controlled study; nonhuman; animal; animal tissue; brain; densitometry; rat; rats; brain tissue; brain chemistry; rats, inbred strains; male; priority journal; article; body water; gravity; water content; brain density; pycnometry; specific gravity |
| Journal Title: | Journal of Neuroscience Methods |
| Volume: | 39 |
| Issue: | 3 |
| ISSN: | 0165-0270 |
| Publisher: | Elsevier B.V. |
| Date Published: | 1991-10-01 |
| Start Page: | 245 |
| End Page: | 251 |
| Language: | English |
| DOI: | 10.1016/0165-0270(91)90103-7 |
| PUBMED: | 1787744 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Article -- Export Date: 27 September 2019 -- Source: Scopus |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work