Group Contribution Approach To Predict the Refractive Index of Pure Organic Components in Ambient Organic Aerosol

Chen Cai, Aleks Marsh, Yun-Hong Zhang, Jonathan P Reid

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)
438 Downloads (Pure)

Abstract

We introduce and assess a group contribution scheme by which the refractive index (RI) (λ = 589 nm) of non-absorbing components common to secondary organic aerosols can be predicted from molecular formula and chemical functionality. The group contribution method is based on representative values of ratios of the molecular polarizability and molar volume of different functional groups derived from data for a training set of 234 compounds. The training set consists of 106 nonaromatic compounds common to atmospheric aerosols, 64 aromatic compounds and 64 compounds containing halogens; a separate group contribution model is provided for each of these three classes of compound. The resulting predictive model reproduces the RIs of compounds in the training set with mean errors of ±0.58%, ±0.36% and ±0.30% for the non-aromatic, aromatic and halogen containing compounds, respectively. We then evaluate predictions from the group contribution model for compounds with no previously reported RI, comparing values with predictions from previous treatments and with measurements from single aerosol particle experiments. We illustrate how such comparisons can be used to further refine the predictive model. We suggest that the accuracy of this model is already sufficient to better constrain the optical properties of organic aerosol of known composition.
Original languageEnglish
Pages (from-to)9683-9690
Number of pages8
JournalEnvironmental Science and Technology
Volume51
Issue number17
Early online date28 Jul 2017
DOIs
Publication statusPublished - 5 Sep 2017

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