Estimating terpene and terpenoid emissions from conifer oleoresin composition

The following algorithm, which is based on the thermodynamics of nonelectrolyte partitioning, was developed to predict emission rates of terpenes and terpenoids from specific storage sites in conifers: Ei=xoriγoripi∘ where Ei is the emission rate (μg C gdw−1 h−1) and pi∘ is the vapor pressure (mm Hg...

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Published inAtmospheric environment (1994) Vol. 113; pp. 32 - 40
Main Authors Flores, Rosa M., Doskey, Paul V.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2015
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Abstract The following algorithm, which is based on the thermodynamics of nonelectrolyte partitioning, was developed to predict emission rates of terpenes and terpenoids from specific storage sites in conifers: Ei=xoriγoripi∘ where Ei is the emission rate (μg C gdw−1 h−1) and pi∘ is the vapor pressure (mm Hg) of the pure liquid terpene or terpenoid, respectively, and xori and γori are the mole fraction and activity coefficient (on a Raoult's law convention), respectively, of the terpene and terpenoid in the oleoresin. Activity coefficients are calculated with Hansen solubility parameters that account for dispersive, polar, and H-bonding interactions of the solutes with the oleoresin matrix. Estimates of pi∘ at 25 °C and molar enthalpies of vaporization are made with the SIMPOL.1 method and are used to estimate pi∘ at environmentally relevant temperatures. Estimated mixing ratios of terpenes and terpenols were comparatively higher above resin-acid- and monoterpene-rich oleoresins, respectively. The results indicated a greater affinity of terpenes and terpenols for the non-functionalized and carboxylic acid containing matrix through dispersive and H-bonding interactions, which are expressed in the emission algorithm by the activity coefficient. The correlation between measured emission rates of terpenes and terpenoids for Pinus strobus and emission rates predicted with the algorithm were very good (R = 0.95). Standard errors for the range and average of monoterpene emission rates were ±6 – ±86% and ±54%, respectively, and were similar in magnitude to reported standard deviations of monoterpene composition of foliar oils (±38 – ±51% and ±67%, respectively). •A new terpene and terpenoid emission algorithm for conifers was developed.•The algorithm is based on the thermodynamics of nonelectrolyte partitioning.•Emission rates are related to conifer oleoresin composition.•Activity coefficients account for solute–oleoresin interactions.•The emission algorithm is a promising approach for developing emission inventories.
AbstractList The following algorithm, which is based on the thermodynamics of nonelectrolyte partitioning, was developed to predict emission rates of terpenes and terpenoids from specific storage sites in conifers: where E i is the emission rate ( mu g C gdw-1 h-1) and is the vapor pressure (mm Hg) of the pure liquid terpene or terpenoid, respectively, and and are the mole fraction and activity coefficient (on a Raoult's law convention), respectively, of the terpene and terpenoid in the oleoresin. Activity coefficients are calculated with Hansen solubility parameters that account for dispersive, polar, and H-bonding interactions of the solutes with the oleoresin matrix. Estimates of at 25 degree C and molar enthalpies of vaporization are made with the SIMPOL.1 method and are used to estimate at environmentally relevant temperatures. Estimated mixing ratios of terpenes and terpenols were comparatively higher above resin-acid- and monoterpene-rich oleoresins, respectively. The results indicated a greater affinity of terpenes and terpenols for the non-functionalized and carboxylic acid containing matrix through dispersive and H-bonding interactions, which are expressed in the emission algorithm by the activity coefficient. The correlation between measured emission rates of terpenes and terpenoids for Pinus strobus and emission rates predicted with the algorithm were very good (R = 0.95). Standard errors for the range and average of monoterpene emission rates were plus or minus 6 - plus or minus 86% and plus or minus 54%, respectively, and were similar in magnitude to reported standard deviations of monoterpene composition of foliar oils ( plus or minus 38 - plus or minus 51% and plus or minus 67%, respectively).
The following algorithm, which is based on the thermodynamics of nonelectrolyte partitioning, was developed to predict emission rates of terpenes and terpenoids from specific storage sites in conifers: Ei=xoriγoripi∘ where Ei is the emission rate (μg C gdw−1 h−1) and pi∘ is the vapor pressure (mm Hg) of the pure liquid terpene or terpenoid, respectively, and xori and γori are the mole fraction and activity coefficient (on a Raoult's law convention), respectively, of the terpene and terpenoid in the oleoresin. Activity coefficients are calculated with Hansen solubility parameters that account for dispersive, polar, and H-bonding interactions of the solutes with the oleoresin matrix. Estimates of pi∘ at 25 °C and molar enthalpies of vaporization are made with the SIMPOL.1 method and are used to estimate pi∘ at environmentally relevant temperatures. Estimated mixing ratios of terpenes and terpenols were comparatively higher above resin-acid- and monoterpene-rich oleoresins, respectively. The results indicated a greater affinity of terpenes and terpenols for the non-functionalized and carboxylic acid containing matrix through dispersive and H-bonding interactions, which are expressed in the emission algorithm by the activity coefficient. The correlation between measured emission rates of terpenes and terpenoids for Pinus strobus and emission rates predicted with the algorithm were very good (R = 0.95). Standard errors for the range and average of monoterpene emission rates were ±6 – ±86% and ±54%, respectively, and were similar in magnitude to reported standard deviations of monoterpene composition of foliar oils (±38 – ±51% and ±67%, respectively). •A new terpene and terpenoid emission algorithm for conifers was developed.•The algorithm is based on the thermodynamics of nonelectrolyte partitioning.•Emission rates are related to conifer oleoresin composition.•Activity coefficients account for solute–oleoresin interactions.•The emission algorithm is a promising approach for developing emission inventories.
Author Flores, Rosa M.
Doskey, Paul V.
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Keywords Terpenes
Terpenoids
Conifer oleoresin
Biogenic volatile organic compound (BVOC) emissions
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Snippet The following algorithm, which is based on the thermodynamics of nonelectrolyte partitioning, was developed to predict emission rates of terpenes and...
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SubjectTerms Biogenic volatile organic compound (BVOC) emissions
Conifer oleoresin
Pinus strobus
Terpenes
Terpenoids
Title Estimating terpene and terpenoid emissions from conifer oleoresin composition
URI https://dx.doi.org/10.1016/j.atmosenv.2015.04.062
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