* Chemosensory Perception Laboratory, Department of Surgery (Otolaryngology), University of California, San Diego, 9500 Gilman Dr. Mail Code 0957, La Jolla, California 920930957; and
Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, United Kingdom
Received March 13, 2001; accepted June 15, 2001
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ABSTRACT |
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Key Words: eye irritation; nasal pungency; trigeminal nerve; butyl acetate; toluene; chemosensory detection; chemical mixtures; psychometric chemosensory functions.
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INTRODUCTION |
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These pungent sensations arise from the activation of receptors thought to be polymodal nociceptors that, in the mucosae of the face, are present within the free endings of the trigeminal nerve (Silver and Finger, 1991). Accordingly, chemesthesis is an aspect of the somatic sensory system. Nociceptors appear in C and Adelta fibers (Martin and Jessell, 1991
). At least a subset of sensory C-fibers expresses a receptor particularly sensitive to capsaicin, the pungent agent in hot peppers, and to structurally related molecules known as vanilloids (Szallasi, 1994
). This receptor can also be activated by noxious heat (Caterina et al., 1997
). Another specific chemoreceptor present in trigeminal endings is the nicotinic acetylcholine receptor (Alimohammadi and Silver, 2000
). Studies in animals and humans indicate that this receptor discriminates between S(-) and R(+)-nicotine (Thürauf et al., 1999
; Walker et al., 1996
).
In contrast, there is little information on the type of trigeminal chemoreceptors that might account for the responsiveness to the extremely wide chemical variety of substances collectively referred to as VOCs. These comprise alcohols, esters, ketones, carboxylic acids, aldehydes, and the like, including linear and branched, saturated and unsaturated, aliphatic and aromatic molecules. These are the kinds of substances typically encountered in indoor air (Brown et al., 1994; Wolkoff and Wilkins, 1993
) and that have been clearly shown to evoke, at high enough concentrations, the trigeminal responses of nasal pungency and eye irritation in humans (Cometto-Muñiz and Cain, 1990,
1991,
1993,
1994,
1995
; Cometto-Muñiz et al., 1998a,
b
). Given the broad diversity of VOCs in terms of structure and properties, we reasoned that their trigeminal effectiveness would rest heavily on general physicochemical parameters that govern the transport of the stimulus from the vapor phase to the biophase where trigeminal chemoreception takes place. The success of a model based on a solvation equation to describe and predict measured human thresholds for nasal pungency (Abraham et al., 1998a
) and eye irritation (Abraham et al., 1998b
) confirmed this expectation. Nevertheless, the finding of a size restriction for an irritant molecule to be effective (a "cut-off" effect; Cometto-Muñiz et al., 1998a
) cannot be explained with a "transport-only" model, suggesting the existence of a receptor pocket of finite dimensions within the trigeminal chemoreception process.
In brief, the solvation equation can be stated as Equation (1). Here, SP is the dependent variable such as log (1/NPT), where NPT stands for nasal pungency threshold, and the independent variables are solute (VOC) properties or descriptors as follows (Abraham et al., 2000a,b
): E is the solute excess molar refractivity in units of (mol cm3)/10, S is the solute dipolarity/polarizability, A and B are the overall or summation hydrogen bond acidity and basicity, and L is the logarithm of the gas-hexadecane partition coefficient.
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Study of the trigeminal detection of mixtures of chemicals vis-à-vis that of the individual components provides a tool to gain insight into the breadth of chemical tuning in the trigeminal system and its implications for the perception of mixtures. A recent study of the olfactory and trigeminal detectability of 1-butanol and 2-heptanone singly and in binary mixtures lent support in both sensory modalities to the notion of dose additivity, as a first approximation, between the 2 chemicals presented at perithreshold levels (Cometto-Muñiz et al., 1999). In the present investigation we sought to continue this line of research by selecting 2 chemicals that vary differently, in terms of structure and properties, from the alcohol and ketone tested previously. To this end, we selected butyl acetate and toluene. From a structural-chemical criterion, the new pair presents a sharper contrast than the previous pair: Butyl acetate is an aliphatic, lineal, relatively flexible hydrocarbon molecule with an oxygen containing chemical group (ester), whereas toluene is an aromatic, cyclic, relatively rigid hydrocarbon molecule with no oxygen. From a physicochemical criterion based on interaction, for example hydrogen-bonding capability, it is the pair 1-butanol/2-heptanone that presents the sharper contrast (see Table 1
). The study aimed to probe whether the different physicochemical contrast between these 2 pairs would reflect itself in a different degree of agonism, i.e., dose additivity, of their mixtures. A systematic study of properly selected binary, ternary, and higher order mixtures, with the aid of an interpretable physicochemical model (such as the solvation equation described above), should be able to uncover the rules that govern the chemosensory detection of mixed VOCs.
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MATERIALS AND METHODS |
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Subjects
Experiment 1. Eye irritation detectability of the single chemicals.
We recruited a normosmic and an anosmic group of subjects. The normosmic group included 12 participants (6 females, 6 males) with an average age (± SD) of 28 (± 10) years, and ranging from 19 to 51 years of age. One male (37 years old) was a smoker, 3 males (27, 40, and 51 years old) and a female (40 years old) were previous smokers, and all others were nonsmokers.
The anosmic group included 6 participants (2 females, 4 males) with an average age (± SD) of 53 (± 18) years, and ranging from 34 to 74 years of age. All but 1 male (36 years old) were nonsmokers. Two (1 female, 1 male) were congenital anosmics, 2 (1 female, 1 male) were head-trauma anosmics, 1 male was anosmic most likely due to chemical exposures, and the cause of anosmia for the remaining male was not firmly established (perhaps the anosmia was secondary to Parkinson's disease).
A standardized olfactory test (Cain, 1989) served to classify participants as normosmics or anosmics.
Experiment 2. Eye irritation detectability of binary mixtures.
Only normosmic participants were tested on the detection of eye irritation from binary mixtures, thus the mixtures were prepared as described below based on the detectability of the single chemicals as perceived by normosmics. A subgroup of 7 normosmics (4 females, 3 males) from the original 12 participants continued to be available for testing. Their average age (± SD) was 29 years (± 12), and they ranged from 19 to 51 years of age. One male (37 years old) was a smoker, another one (51 years old) was a previous smoker, and all other subjects were nonsmokers.
Experiment 3. Nasal pungency detectability of the single chemicals.
Five anosmics were tested, 4 of whom had participated in Experiment 1. The remaining subject was a 42-year-old female, congenital anosmic. This group had an average age (± SD) of 51 (± 15) years, and included 3 congenital anosmics (2 females, 1 male), 1 head-trauma anosmic (female), and 1 male whose anosmia was perhaps secondary to Parkinson's Disease. All participants were nonsmokers.
Experiment 4. Nasal pungency detectability of binary mixtures.
A total of 6 anosmics (4 females, 2 males) participated. Four of them had participated in Experiment 3. The remaining 2 subjects were a 74-year-old male whose anosmia was probably due to chemical exposures (who had participated in Experiment 1) and a 37-year-old female, head-trauma anosmic. The group had an average age (± SD) of 49 (± 16) years, and included 3 congenital anosmics (2 females, 1 male), 2 head-trauma anosmics (females), and the 74-year-old male anosmic mentioned above. All participants were nonsmokers.
Stimuli and Equipment
Eye irritation detectability of the single chemicals (Experiment 1).
Stimuli included butyl acetate (99+%) and toluene (99.8%). Mineral oil (Light, Food Chemical Codex quality) served as solvent and blank. Duplicate dilution series made in 2-fold dilution steps for butyl acetate and in 1.5-fold dilution steps for toluene were prepared. Each series started with undiluted chemical (100% v/v), labeled dilution step 0. In the case of butyl acetate, the series continued with 50, 25, 12.5, etc. % v/v, labeled dilution steps 1, 2, 3, etc., respectively. In the case of toluene, the series continued with 67, 44, 30, etc. % v/v, labeled dilution steps 1, 2, 3, etc., respectively. Stimuli were stored and delivered from glass vessels (1,900 ml capacity) containing 200 ml of solution. The vessels have been recently described in a study of nasal pungency thresholds (Cometto-Muñiz et al., 2000). In the present investigation, the vessels were adapted for ocular testing by capping 1 of the 2 outlets for nosepieces and replacing the other nosepiece with a 25-ml, roughly conical container (of the sort used in variable volume dispensers). During testing, the subject rested 1 eye socket against the round rim of the container. Immediately afterwards, a tube carrying a low-flow (4 l/min) of pure air was connected to the inlet of the bottle (see Fig. 1
). This connection allowed an aliquot of the headspace of the bottle to fill the conical container where the eye was being exposed. Each exposure (blank or stimulus) lasted for 3 s. These roughly conical eyepieces are exactly the same as those used before for ocular testing with squeeze bottles (Cometto-Muñiz and Cain, 1991
).
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In order to prepare the binary mixtures we relied on the linear range of the psychometric function (in normosmics) for each compound as stressed in Figure 5. We selected 3 levels of detection probability: 0.50, 0.75, and 1.00, and applied the linear equations to calculate the corresponding concentrations of each chemical producing those detection probabilities (concentrations labeled BA0.50, BA0.75, and BA1.00 for butyl acetate and T0.50, T0.75, and T1.00 for toluene, respectively). Next, again using the equations, we calculated the concentrations necessary to produce detection probabilities equal to
,
, and
of the 3 target detection probabilities selected and mentioned above. In other words, we calculated the concentration of each chemical producing detection probabilities of: 0.375, 0.250, and 0.125 (that is,
,
, and
of 0.5); 0.562, 0.375, and 0.188 (that is,
,
, and
of 0.75); and 0.750, 0.500, and 0.250 (that is,
,
, and
of 1.00). Once these concentrations were calculated, we prepared the 3 sets of stimuli listed in the Appendix where concentrations are labeled following the same notation as above.
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As before, vapor concentrations in the headspace of every vessel (including all quintuplicates) were measured off-line by gas chromatography (flame ionization detector, FID) via direct sampling through a gas-tight syringe. Measurements were done right after preparation of the stimuli and weekly thereafter to confirm stability. Figure 3 shows the average vapor concentration (± SD) for each of the 15 stimuli tested in this experiment.
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Nasal pungency detectability of binary mixtures (Experiment 4).
The 2 chemicals, butyl acetate and toluene, and the solvent, mineral oil, were identical to those used in Experiment 3. Stimuli were stored and delivered from glass vessels adapted with 2 nosepieces, as in Experiment 3. In Experiment 4, though, the stimuli included binary mixtures of the 2 substances and the single substances.
Preparation of all stimuli (single and mixtures) to test for nasal pungency detectability followed the same logic as that used in Experiment 2 for eye irritation. To prepare the stimuli, we relied on the linear range of the psychometric function for each compound as shown in Figure 7, but, in this experiment, we selected 4 levels of detection probability: 0.25, 0.50, 0.75, and 1.00. The Appendix lists all 20 stimuli tested for nasal pungency (4 sets of 5 stimuli). (For a detailed explanation of nomenclature and symbols refer to subsection "Stimuli and Equipment," Experiment 2.) Assuming simple dose additivity in the detection of mixtures, the first set of 5 stimuli listed in the Appendix is expected to produce 0.25 detection probability, the second set to produce 0.50, the third set to produce 0.75, and the fourth set to produce 1.00. As in Experiment 2, in order to avoid depletion of the headspace of the vessels containing these 20 stimuli (numbers 1 through 20 in the Appendix) as subjects were tested, we prepared each in quintuplicate.
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Each subject participated in 2 to 4 sessions as the one described above. In each session, the subject provided at least 1 complete psychometric functions for a chemical. The order of testing of eyes and chemicals was irregular across sessions for the same subject and across subjects. The data from all sessions for each chemical were averaged within individuals and across individuals from the same group, i.e., normosmic or anosmic.
Eye irritation detectability of binary mixtures (Experiment 2).
We used a 2-alternative forced-choice procedure. In a session, subjects were tested with 1 of the 3 sets of stimuli listed in the Appendix for eye irritation. In irregular order, 1 of the 5 stimuli of the set was presented to 1 eye for 3 s at 4 l/min, paired with a blank (i.e., mineral oil) 5 times (since we had prepared them in quintuplicate, no bottle was used twice up to that moment). Next, the same stimulus was tested another 5 times but using the other eye (here is where the quintuplicates are used for a second and final time for the session). Then, this procedure was repeated with the other 4 stimuli of the set. Participants plugged their noses during trials (to avoid odor cues) until after they chose the vessel producing the stronger sensation. Order of testing of the 5 stimuli in the set, order of testing of eyes, and order of testing for blank or stimulus on each trial were all irregular.
For each 1 of the 3 sets of stimuli listed in the Appendix for eye irritation, sessions as just described were repeated for every subject at least once and as many as 3 more times, depending on the available time of the participant.
Nasal pungency detectability of the single chemicals (Experiment 3).
We used a procedure analogous to that described in Experiment 1 only that the stimulus was delivered to the nose and both nostrils were tested simultaneously on each trial. Anosmics participated in 2 to 5 sessions with the same characteristics as those in Experiment 1.
Nasal pungency detectability of binary mixtures (Experiment 4).
Again, we used a 2-alternative forced-choice procedure. In each session anosmics were tested with 1 of the 4 sets of stimuli listed in the Appendix for nasal pungency. In irregular order, each of the 5 stimuli of the set was presented birhinally, paired with a blank (i.e., mineral oil), 10 times (since we had prepared each stimulus in quintuplicate, each bottle was used only twice). Order of presentation for blank or stimulus on each trial was randomized.
For each 1 of the 4 sets of stimuli listed in the Appendix for nasal pungency, sessions as just described were typically run with every anosmic for a total of 4 to 8 times, depending on the available time of the participant.
Data analysis.
Plots of detection probability as a function of stimulus concentration (in ppm by volume) summarized the outcome. Detection probability was corrected for chance (Macmillan and Creelman, 1991) and ranged from 0.0, that is, chance detection, to 1.0, that is, perfect detection.
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RESULTS |
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These psychometric functions show the typical sigmoidal shape with an approximately linear trend in the middle of the range. Figure 5 focuses on that middle range and presents the corresponding linear equation for each compound. Functions for the anosmics are steeper and displaced to the rightmore markedly for butyl acetate than for toluenealong the concentration range that produces up to 0.8 detection probability. Given these differences between the 2 groups we decided to test the binary mixtures only on normosmics (the largest group) and to prepare such mixtures based on the results for single chemicals obtained only with normosmics (Experiment 2). The strategy aimed at minimizing the variability of the sensory responses by making the subject group more homogeneous.
Eye Irritation Detectability of Binary Mixtures (Experiment 2)
Figure 6 illustrates the results on the comparative detectability of the single chemicals and the binary mixtures for the 3 levels of expected detectability: 0.50, 0.75, and 1.00. The obtained detectability for each of the 2 single compounds (which were the internal standards against which to compare the detectability of the mixtures) was lower than expected for all 3 levels: around 0.15 (compared to 0.50) for both substances at the lowest level, 0.57 (compared to 0.75) for both substances at the middle level, and 0.59 and 0.83 (compared to 1.00) for butyl acetate and toluene, respectively, at the highest level.
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Nasal Pungency Detectability of the Single Chemicals (Experiment 3)
Figure 7 shows the outcome of nasal pungency detectability for butyl acetate and toluene. Again, the typical sigmoidal functions were obtained with a close-to-linear section in the middle of the range. Figure 7
focuses on that range and presents the linear equations characterizing each chemical.
A comparison of nasal pungency and eye irritation detectability functions within the same anosmic group shows that the 2 trigeminal responses tend to fall closely into register (Fig. 8). Functions for toluene are characterized by steeper slopes than those for butyl acetate. Nevertheless, within each chemical, the slopes obtained for eye irritation and for pungency in the same subjects are comparable.
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DISCUSSION |
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In a number of investigations (see reviews in Cometto-Muñiz, 2001; Cometto-Muñiz and Cain, 1996
) we have shown that most nonreactive VOCs (for definition of reactive/nonreactive VOCs see Alarie et al., 1995,
1996,
1998a,
b
) can evoke the trigeminally-mediated sensations of nasal pungency and eye irritation at high-enough concentrations. These concentrations are far above what is encountered in realistic indoor exposures. Even when correction factors (see Cometto-Muñiz et al., 2000
) are introduced to account for mode of stimulus presentation (nose-only or eye-only in our experiments vs. whole body in the field) and for time of stimulation (1 to 3 s in our experiments vs. days or months in the field), the outcome will likely produce values still higher than those found in the indoor environments generating complaints of sensory irritation. At least 2 lines of research are looking into this matter. The first looks into the possibility that sensory irritation might be brought about by short-lived, reactive, strong irritants that could be formed as a result of chemical reactions between unsaturated VOCs (e.g., terpenes) and oxidants (e.g., ozone; Wolkoff et al., 1999,
2000
). Such putative compounds would produce irritation by mucosal tissue damage via chemical reaction, and might not necessarily need to interact directly with any particular receptor: It is possible that endogenous chemicals released from damaged cells (e.g., ATP, H+, bradykinin, see Cesare and McNaughton, 1997
; McCleskey and Gold, 1999
) are the ones that act specifically upon ion channels to produce the neural response. Reactive irritants can also induce their effects directly as shown in animal studies (Cassee et al., 1996
; Kane and Alarie, 1978
; Kasanen et al., 1999
; Nielsen, 1991
; Nielsen et al., 1988
). The second line of research looks into the possibility that perceptible sensory irritation could result from the combined action of dozens (or even hundreds) of nonreactive VOCs, each at a level well below its individual threshold, impinging upon a common, broadly tuned reception process (Cometto-Muñiz et al., 1997,
1999
). Both lines of research are not exclusive of one another and in combination might help to explain the symptoms of sensory irritation reported in indoor environments.
In an early study looking at mixtures of 3, 6, and 9 components, we observed various degrees of stimulus agonism that increased with number of components and with the lipophilicity of such components (Cometto-Muñiz et al., 1997). This work did not include complete detectability (i.e., psychometric) functions for olfactory and trigeminal detection and, thus, only allowed for a restricted interpretation of the results. Our present approach calls for a systematic testing of selected VOCs, representative of particular structural and physicochemical properties, starting with simple binary mixtures and building up to more complex ones as the role of the various physicochemical parameters begins to be better understood. As a start we chose representatives of aliphatic and aromatic VOCs. We chose VOCs that were hydrogen bond acids (1-butanol) and VOCs that were not; we chose VOCs that were reasonably strong hydrogen bond bases and VOCs that were weak hydrogen bond bases (toluene; see Table 1
). It was not practical to work with VOCs that had no hydrogen bond basicity at all (i.e., alkanes). The first mixture studied under this comprehensive and detailed approach (that included measuring detectability functions) was the mixture of 1-butanol and 2-heptanone (Cometto-Muñiz et al., 1999
). As a first approximation, the results indicated chemosensory agonism, in the sense of dose additivity, for both olfaction and chemesthesis.
In the present study, we have focused on chemesthetic responses, i.e., eye irritation and nasal pungency, and have probed into whether agonism would still hold for a pair of compounds with a different physicochemical contrast than the previous pair tested. In addition, the experimental methodology employed here allowed for an analysis of the results with a finer detail. The outcome from both trigeminal endpoints supports similar conclusions: At relatively low levels of detectability of the single compounds, though still above chance (i.e., 0.00 < p 0.50, approximately), the mixtures show complete sensory agonism (see Results for expected p = 0.50 in Fig. 6
and for expected p = 0.25 and 0.50 in Fig. 9
). This means that the detectability of mixtures of the 2 substances prepared in varying complementary proportions, all adding to a unit level (and created based on the detectability of the single compounds) do not deviate systematically from the detectability of each substance presented by itself at the same unit level. In contrast, at relatively high levels of detectability (i.e., 0.50 < p
1.00, approximately), the mixtures show partial (or incomplete) sensory agonism (see Results for expected p = 0.75 and 1.00 in Fig. 6
and for expected p = 0.75 and 1.00 in Fig. 9
). Here, the detectability of the mixtures, prepared as described, is significantly lower than that of each single substance by itself.
The above mentioned results in humans agree with those obtained in mice and rats via measurement of the decrease in respiratory rate that occurs from exposure to irritants (Alarie, 1966). As noted recently (Kasanen et al., 1999
), sensory irritation evoked in mice from binary mixtures of acrolein and formaldehyde (Kane and Alarie, 1978
) and of cumene and n-propanol (Nielsen et al., 1988
), and in rats from ternary mixtures of formaldehyde, acrolein, and acetaldehyde (Cassee et al., 1996
) showed additivity (here called complete agonism) at low concentrations that changed to competitive agonism (here called partial agonism) at higher concentrations. The sensory irritation properties of turpentine, a mixture of monoterpenes, also showed a shift from additivity at low concentrations to competitive agonism at higher concentrations (Kasanen et al., 1999
). A number of alternative models of stimulus-receptor interactions in the trigeminal chemesthetic system have been proposed to account for these observations (Nielsen, 1991
).
We have explored 2 chemical reasons as a possible explanation for lack of complete agonism. The first involves hydrogen-bonding. If the 2 components show a high percentage of interaction in the gas-phase or at the receptor, the response to the mixture could fall short of agonism. For complexation of 2 molecules (A and B) to give a hydrogen bond complex (C), the equilibrium constant, K, is given by the equilibrium concentration equation
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The solution to Equation (2) is a quadratic expression. For a given pair of compounds and a given equilibrium constant, the percentage of complex formed is lower the lower are the initial concentrations of A and B. In the gaseous mixtures, concentrations are so low as to preclude any hydrogen bond interaction between components of the mixtures we have studied (see Marco et al., 1994). We have determined (Cometto-Muñiz et al., unpublished data) hydrogen bond complexation constants in 1-octanol (a likely model for the receptor phase, cf. Abraham et al., 2000a
) and from the complexation constants we calculate that for the pair 1-butanol/2-heptanone there could be a small amount of hydrogen-bond associated species at the receptor area, amounting to no more than 10%. For the pair butyl acetate/toluene there would be no associated species at all. So from this perspective we do not find an explanation for the lack of complete additivity at the higher detection levels of the butyl acetate/toluene mixtures.
The second chemical reason regards molecular length that can be a descriptor in the solvation equation (Abraham et al., in preparation). There are 2 lines of evidence, 1 trigeminal the other olfactory, that suggests that molecular size is an important factor in chemosensory effectiveness. We have already mentioned the presence of "cut-offs" in the chemesthetic potency of homologous chemical series (Cometto-Muñiz et al., 1998a). In addition, attempts to correlate odor thresholds with physicochemical properties via a solvation equation have shown that a significant improvement in correlation can be obtained with the introduction of a size parameter (Abraham, Gola, Cometto-Muñiz, and Cain, manuscript in preparation). For olfaction the best length is around 12 Å. If this were also the case for chemesthesis, then, in the study of mixtures, if the 2 components were to have different lengths, 1 component might be excluded from the receptor. The maximum lengths for 1-butanol and 2-heptanone are 8.88 and 11.61 Å, respectively, and for butyl acetate and toluene, 8.08 and 11.34 Å, respectively. Thus, if there were indeed a "maximum length" effect in the mixtures, it would not differ for the 2 pairs of compounds.
A psychophysical analysis of the basis for agonism or partial agonism in the detection of binary mixtures can be performed using the slopes on the linear range of the stimulus-response (i.e., psychometric) function of the individual substances. 1-Butanol and 2-heptanone had very similar slopes for trigeminal detection, with values between 0.7 and 0.8 (Cometto-Muñiz et al., 1999). In contrast, butyl acetate and toluene differed greatly in their slopes for trigeminal detection, with the slopes for toluene always being steeper by a factor of approximately 3, within the same group of subjects (i.e., normosmics or anosmics; Figs. 5
and 7
). The results suggest that compounds presenting similar psychometric slopes will be closer to complete agonism in binary mixtures than those presenting dissimilar slopes. These slopes indicate rate of increase in detection with vapor-phase concentration and reflect the integrated outcome of the complete trigeminal chemosensory channelfrom the periphery all the way to perception at the highest levels of the CNS. In this sense, the psychophysical analysis captures the process in its entirety, with a better chance to offer robust predictive parameters for the overall response (i.e., detection of mixtures), although, for this very same reason, might offer less precise information than a chemical analysis on the details of the peripheral chemico-biological interaction. It should also be borne in mind that the experimental methodology used in the present study allows for a more detailed analysis of the sensory effects of the mixtures vis-à-vis those of the single components than that used previously (Cometto-Muñiz et al., 1999
). It is possible that a small decrease in complete agonism in some of the mixtures of 1-butanol/2-heptanone (i.e., those of relatively higher detectability) could have gone undetected since the strategy looked at the broad trend for all mixtures as a whole. In any case, an important fact to stress is that there are 2 dimensions to be considered: degree of agonism and concentration dependence of this agonism.
At this early stage, there is not enough data to obtain a clear, unified picture combining the psychophysical and the chemical approaches. It is risky to generalize from results obtained with only a couple of binary mixtures. Still, the outcome provides a starting point for an orderly and progressive testing of the chemosensory detectability of mixtures of increasing complexity versus that of their individual components. The strategy will also incorporate the analysis of the role that similar or dissimilar values of physicochemical descriptors (see Abraham et al., 1996) for the tested chemicals could play on the sensory results obtained. The applicability of such descriptors to describe and predict human trigeminal responses in the nasal (Abraham et al., 1998a
) and ocular (Abraham et al., 1998b
) mucosae to airborne chemicals has already been shown for single VOCs, and our previous (Cometto-Muñiz et al., 1997
) and present work suggest that they will have relevance for mixtures as well.
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APPENDIX |
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ACKNOWLEDGMENTS |
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NOTES |
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REFERENCES |
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