SOP 15. Odor Evaluation and Intensometry
Determination of Odor Concentration
Odor concentrations will be determined using a dynamic dilution venturi
olfactometer (AC’SCENT International, St. Croix Sensory, Inc.,
The strength of an odor
sample is measured by determining the number of dilutions required to reach the
odor detection threshold (ODT). The dilutions to threshold (DT) is defined as
the dilution of an odor sample that cannot be distinguished from odorless air
by 50% of the members of an odor panel. Stated another way, DT is the number of
dilutions with odor-free air required for an odor to be just detected by 50% of
the odor panel or until the least definitely perceptible odor is achieved.
Stated still another way (Norén, 1977), DT is given as the dilution factor,
expressed as a logarithm, that is needed to dilute the polluted air with fresh
air so that the threshold value is reached. Dilutions to threshold (DT) is
assessed by diluting samples with a known amount of odor-free air and
presenting the dilutions to a panel of human subjects using an olfactometer, a
dilution apparatus. Thus, the mixture at the odor detection threshold is a barely
detectable odor. The number of times a sample has to be diluted to reach the
odor detection threshold is a measure of the odor strength. The DT increases
with greater odor strength because more odor-free air is needed to dilute the
sample to its ODT.
DTs will be measured with a dynamic dilution forced-choice olfactometer
(a dilution apparatus). This olfactometer (AC’SCENT International Olfactometer,
St. Croix Sensory,
Starting with an extremely high dilution ratio, a step-by-step series
of ascending concentrations (step factor = 2) is presented to each panelist.
The olfactometer can create 14 dilution ratios, ranging from 23 to 216.
A triangular forced-choice test is conducted whereby the panelist sniffs three
sequential sample coded gas streams at each dilution step. One gas stream is
randomly assigned to have the odor while the other two gas streams are
odor-free. The three gas streams are directed one at a time to the mask.
The panelist selects which of the three presentations is “different”
(even if no difference is perceived) and thus contains the odor (ASTM, 1991).
The panelist declares by pressing a button whether the selection is a “guess”
(no perceived difference), “detection” (selection is different from the other
two), or “recognition” (selection smells like something). Initial samples are
so dilute that they cannot be distinguished from odor-free air. Higher and
higher odor concentrations (2-fold increases) are presented to the panelist
until the sample is correctly detected and recognized.
An individual best-estimate
DT estimate is calculated by taking the geometric mean of the last
nondetectable dilution ratio and the first detectable dilution ratio. The panel
DT is calculated as the geometric mean of the individual DTs and is sometimes reported as the log DT. Retrospective
screening of each panelist threshold is applied to the panel DT (CEN, 1999) to
remove outlying individual results (van Harreveld et al., 1999). All averages of odor
concentrations and emission rates are reported as geometric means because they
typically exhibit lognormal distributions (Verdoes and Ogink, 1997).
The sensitivity of different dynamic olfactometers to
reference odorants has varied by a factor of 10 or more in interlaboratory
comparison tests. Similar variance can occur within laboratories, thus citation
of panel dilutions to thresholds for a reference odorant, e.g. n-butanol, is
strongly recommended so that results can be compared and related to current
standards (Smith and Dalton, 1999; Watts, 1999). Therefore, a reference
odorant, n-butanol gas (certified at a concentration around 60 ppm) is normally
included in each odor session and is evaluated like the other samples, and is
used to trace and archive panel sensitivity by calculating its odor detection concentration (ODC).
The ODC is the concentration of a chemical at its ODT. To improve
repeatability, accuracy and transferability of results of olfactometry, the CEN
TC264 draft standard (CEN, 1999) will require that the
mean ODC for the last 20 samples of n-butanol to be somewhere between 20 and 80
ppb for each panelist and that the odor panel’s ODC for n-butanol be
around 40 ppb (van Harreveld et al.,
1999).
An odor unit (OU) is defined as the amount of odorant(s) in 1.0 m3
of odorous gas at the panel ODT (Thièle, 1986; VDI, 1986). Even though the DT
is really a dimensionless number, it is expressed as OU/m3 in order
to calculate odor emission rate, thus the panel DT is an abstract measure of
odor concentration. The product of odor concentration and volumetric airflow
(e.g. from ventilation exhausts of buildings, or across land) gives the rate of
odor emission in OU/s. The odor emission rate can be regarded as the total odor
load per unit of time leaving a particular process. Odor emission values are
used in atmospheric dispersion models to calculate odor nuisance distances.
The gross odor emission rate (OU/s) from a livestock building is the
product of the ventilation airflow rate (m3/s) and the odor
concentration (OU/m3) in the exhaust air. Since incoming air may be
odorous, the difference between ventilation inlet and outlet odor
concentrations is used to calculate the net odor emission or only the odor
generated in the room (Miller et al.,
2001; Smith and Dalton, 1999; Watts, 1999). To allow comparison with other
research results, odor and gas emission rates are normalized to the number and
weight of animals by dividing the total emission rate by the number of animal
units (AU=500 kg live weight) (Ni et al.,
2000; Oldenburg, 1990; Wathes et al.,
1997). Area-specific building emission rates are determined by dividing the
total emission rate by the floor area (Groop Koerkamp et al., 1998).
When calculating statistical parameters for DTs, one has to take care
that the data are processed in such a manner that the normal frequency
distribution applies. The frequency distribution for DTs for odorants is
log-normal. Therefore, when calculating statistical parameters, the decimal
logarithms of the measured DTs shall be used. To obtain a value in non-logarithmic
units, the outcome can be re-converted into its antilog.
The laboratory manager will operate the olfactometer using the
procedure in Exhibit 6-1.
1. Connect sample bag via a line filter (
2. Press [Prime/Purge]
3. Press [Start]
4. Enter panelist number, press [Enter]
5. Enter starting dilution level (1-14), press [Enter]
6. Have a panelist evaluate the sample
7. Enter the panelist’s response:
[1] Guess
[2] Detect
[3] Recognize
[4] Allow panelist to correct
an error
8. Repeat Steps 6-7 for each successive dilution level
until the panelist finishes
9. Press [Stop]
10. Repeat Steps 4-9 until all the panelists finish
11. Disconnect the sample
12. Press the [Prime/Purge] button
13. Repeat process (Steps 1 to 12) until all samples are
evaluated.
14. Calibrate airflows.
15. Turn off the air system, wait 30 min, and turn off
power.
The Data Sense files with the data will be saved often to prevent the
loss of any data. Hard copies of data will be stored in the laboratory.
Panelists
Eight people will serve on
the evaluation panel during each session. Every attempt will be made to select
a heterogeneous panel in terms of gender, socioeconomic class, etc. The
panelists must agree to abide by the following rules which mean they must:
1. be free of colds or
other physical conditions affecting the sense of smell,
2. not smoke or use
smokeless tobacco,
3. not chew gum; eat; or
drink anything other than water for at least one hour prior to odor panel work,
4. not eat spicy foods
prior to odor panel work,
5. be "fragrance-free",
not use perfume, cologne, aftershave, or hand lotion the day of the odor
evaluation session. Also must not use scented shampoos, scented deodorants or
wear clothes dried with scented laundry treatments on the day of the odor
evaluation session.
6. not consume alcohol for
at least three hours prior to panel work,
7. drink only water during
odor evaluation sessions,
8. not discuss their odor
selections and answers with other panel members,
9. keep the odor panel work
confidential,
10. not have been fasting,
11. not be pregnant, and
12. not be involved in
substance abuse.
Determination
of Odor Intensity
Odor intensity is the relative perceived
psychological strength of an odor that is above its detection threshold and is
independent of the knowledge of the odor concentration (McGinley and McGinley,
2000). For a single chemical odorant, odor intensity increases as a power
function of its concentration. Intensity can only be used to describe an odor
at suprathreshold concentrations or concentrations above its ODT.
Intensity can be assessed using either
category or reference scaling. Because category scale numbers do not reference
equivalent odorant concentrations and different category scales are used by
different researchers, data cannot be compared between studies. Thus, it is
preferred to use reference odorant concentrations as a referencing scale to
improve reproducibility and to allow direct comparisons between research
studies (Harssema, 1991).
Intensity using referencing scales is
assessed by either dynamic or static scale methods (ASTM, 1999). The dynamic
scale method utilizes a special olfactometer that presents a series of specific
concentrations of a reference odorant (e.g. n-butanol) in a continuous flow of
air to each panelist. The static scale method utilizes a set of bottles with
increasing concentrations of a reference odorant in water. We currently use the
static scale and an n-butanol reference scale.
The scales used with the dynamic and
static scale methods are referred to as the Dynamic Odor Intensity Referencing
Scale and the Static Odor Intensity Referencing Scale, respectively. The
Dynamic Odor Intensity Referencing Scale is based on the ppm of n-butanol in
air (BIA) whereas the Static Odor Intensity Referencing Scale is based on the
ppm of n-butanol in water (BIW). The observed intensity values, either the
scale number or the equivalent butanol concentration, are used along with other
data in the interpretation of odor dispersion models.
Field odor inspectors, monitors, plant
operators and citizens commonly use the static scale referencing method. The
static scale method is used with five concentrations of n-butanol in water
(table 1) to assure a geometric interval (3X progression) between each value.
Word descriptors assigned to these concentrations are: no odor, very faint,
faint, moderate, strong, and very strong. After familiarizing themselves with
the various dilutions of n-butanol, the odor panel judges the intensity of a
sample by objectively matching it to the intensities they sense from the n-butanol
dilutions in water (ASTM, 1999). A small glass funnel is used to present the
odorous mixture from the sample bag to the panelist while the bag is manually
compressed. The intensity is reported in ppm equivalent to n-butanol in water
(ASTM, 1999) or BIW.
Odor intensity grows as a power function
of the stimulus odor (Stevens, 1960) and follows the equation:
BIW = kCn
where BIW is the odor intensity
(equivalent ppm of n-butanol in water), C is the mass concentration of the
odorant in ppm, and k and n are constants that are different for every odorant.
The odor intensity can be transformed as follows:
log BIW = log k + n log C.
Table 1. Concentrations of n-butanol in water. BIW =
83.33x100.477 I = 83.33e1.098 I.
Reference scale #, I |
n-butanol in water |
n-butanol in air |
Odor intensity categories |
||
BIW (ppm) |
log BIW |
BIA (ppm) |
Strength |
Annoyance |
|
0 |
0 |
0.00 |
0 |
No odor |
Not annoying |
1 |
250 |
2.40 |
24 |
Very faint |
Not annoying |
2 |
750 |
2.88 |
72 |
Faint |
A little annoying |
3 |
2250 |
3.35 |
216 |
Moderate |
Annoying |
4 |
6750 |
3.83 |
649 |
Strong |
Very annoying |
5 |
20250 |
4.31 |
1948 |
Very strong |
Extremely annoying |
The category estimation technique is sometimes used to
measure intensity (Misselbrook et al., 1993). Panelists give their perception
of intensity according to the following scale:
0
No odor
1
Very faint odor
2
Faint odor
3
Distinct odor
4
Strong odor
5
Very strong odor
6
Extremely strong
odor
Generally, data generated from category scales are not
of equal geometric intervals (Cain and Moskowitz, 1974), interpretation of the
scales varies between individuals, and panelists tend to distort the intervals
during an odor evaluation session (Nicolai et al., 2000). Thus, geometric means
obtained from category scales should be used with great caution.
Panelists assess intensity of a sample by objectively matching it to
one of a series of n-butanol solutions in water contained in 120-mL wide-necked
bottles. This procedure follows the reference scale method (ASTM, 1992).
Reference scale solutions are prepared prior to each session using AR-grade
n-butanol (Mallinckrodt Baker, Paris, Kentucky, USA), and odor-free de-ionized
water, with concentrations ranging from 250 to 20,250 ppm in geometric series
with a factor of 3.
Sample air is manually compressed, forcing the sample to flow through a
Teflon PTFE tube to a glass funnel (6 cm face diameter). Panelists are
instructed to sniff the unknown air sample from the glass funnel and then to
sniff the reference solutions beginning with the weakest end of the scale, and
to match the unknown to the scale, ignoring differences in odor quality.
Panelists are trained to shake reference solutions gently before sniffing them
and to recheck the unknown against the reference scale any number of times.
Odor intensity is reported as concentration (ppm) of n-butanol in water (BIW).
Intensity values are geometric means of panel members’ ratings.
The relationship between dilutions to threshold and intensity is
important and has several applications. It is used to verify odor dispersion
models and to evaluate faint odors whose detection threshold is less than the
measuring capability of an olfactometer. The Weber-Fechner Law is more
appropriate for predicting intensity from concentration when using category
scales whereas the Steven’s Law is more appropriate for ratio scaling or
reference scaling (Wagenaar, 1975).
Sample Evaluation
Dilutions to Threshold: The
procedure to measure dilutions to threshold is given in Exhibit 6-1.
Persistence: Persistence or the slope of
the intensity vs. threshold curve will be made possible by intensity rankings
by each panelist at one additional dilution above the odor detection.
Procedure to Determine Odor Threshold
Each panelist will follow these steps when analyzing a sample:
[Guess]
[Detect]
[Recognize]