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Using olfactometry to measure intensity and threshold dilution ratio for evaluating swine odor
1North Carolina Department of Environment and Natural Resources, Division of Air Quality, Fayetteville, USA.
Journal of the Air & Waste Management Association (1995)
|August 7, 1999
Summary
Odor threshold dilution ratio and intensity in swine buildings are now measurable together. This new method improves odor control strategies for farrowing, finisher, gestation, and nursery rooms.
Area of Science:
- Agricultural Engineering
- Environmental Science
- Sensory Science
Background:
- Odor control in swine buildings is crucial for environmental management.
- Odor threshold dilution ratio is a common metric, but its utility increases when correlated with odor intensity.
- Simultaneous measurement of these indices is needed for comprehensive odor assessment.
Purpose of the Study:
- To develop and validate a method for simultaneously measuring odor intensity and threshold dilution ratio in swine building air.
- To establish a relationship between odor intensity and threshold dilution ratio for improved odor assessment.
- To collect data for developing a mathematical model for swine odor characterization.
Main Methods:
- Utilized a dynamic forced-choice olfactometer for simultaneous measurement.
- Collected air samples from farrowing, finisher, gestation, and nursery swine rooms.
- Employed a panel of eight human evaluators to assess odor intensity.
- Calculated odor threshold dilution ratios using ASTM Standard Practice E679-91.
Main Results:
- Odor threshold dilution ratios were 333 (farrowing), 424 (finisher), 25 (gestation), and 221 (nursery).
- Odor intensities, after a 14.7-fold dilution, were 3.79 (farrowing), 3.46 (finisher), 0.48 (gestation), and 4.0 (nursery).
- Collected data were used to formulate a mathematical model.
Conclusions:
- The proposed method enables simultaneous measurement of odor intensity and threshold dilution ratio.
- This integrated approach provides a more robust assessment of swine building odors.
- The developed mathematical model can aid in optimizing odor control strategies for swine facilities.