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Methodology to determine carbonate carbon from Thermal Optical Transmittance measurements

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Methodology to determine carbonate carbon from Thermal Optical Transmittance measurements

M. R. Perrone1, A. Piazzalunga2 and M. Prato3

1 CNISM, Physics Department, University of Salento, Via Arnesano, 73100 Lecce, Italy (perrone@le.infn.it)

2 Department of Environmental Science, University of Milano Bicocca, 20126 Milano, Italy

3 Department of Pure and Applied Mathematics, University of Modena and Reggio Emilia, Modena, Italy

Carbonate carbon (CC) is often not considered in atmospheric aerosol chemistry studies which comprise the

measurement of elemental carbon (EC) and organic carbon (OC). The reason for this may be its low contribution to fine particle mass in most area along with the difficulties in its analytical determination in atmospheric aerosol

collected on filter matrices.

However, the CC fraction in particulate matter may not be negligible if high concentrations of mineral dust, either natural (natural erosion, sand storms) or originating from street abrasion or construction sites are present.

We have implemented a methodology to determine CC, OC and EC levels from Thermal Optical Transmittance (TOT) measurements on ground collected samples without pre treating the samples with HCl fumes.

Methodology

We have used the sample pretreatment with HCl fumes to identify the CC contribution to the flame ionization detector (FID) signal from TOT measurements.

The time evolution analysis of the FID

signal before (black line) and after (grey line) the

treatment with HCl fumes, has revealed that the CC peak may occurs within the 220- 250 s time interval and

that it is characterized by a full-with-at-half- maximum t* = 25±3 s

The FID signal has been represented as a weighted sum of Gaussian functions:

S(t) =∑i ai exp[-(t-ti)2/2σ2i ]

where ai, ti, and σi represent

amplitude, peak-time and standard deviation of the Gaussian function i.

We have assumed that the CC volatilization contributes to the FID signal with a pulse which can be fitted by a Gaussian function with the peak at a time ti (within the 220-250

s time interval) and a full-width-at-half- maximum ti = 25±3 s.

Then, we have calculated the Gaussian function area ascribed to the CC

volatilization and the area of the calibration signal, to quantify CC levels.

Results

EC, OC, and CC have been measured in 26 TSP and PM2.5 randomly selected samples, which have been collected over southeastern

Italy in 2007.

The CC/OC mass ratio varies within the 0.02 - 0.4 and 0.02 - 0.2 range in TSP and PM2.5 samples, respectively.

Hence, OC levels can be quite overestimated in TSP and PM2.5

samples if the CC contribution to the FID signal is not accounted for.

Scatter plot of the sum of anions versus

the sum of cations in TSP samples.

Open diamonds refer to data points when

CO32- is not accounted for.

Acknowledgements

Dr. P. Fermo is acknowledged for her scientific support. Most of the chemical

analyses have been carried out at the Department of Chimica Inorganica, Metallorganica e Analitica, University

of Milan (Italy).

CO32- is mainly neutralized by Ca2+ and Mg2+ .

TSP

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