Literature DB >> 17462705

Evaluation of the thermal/optical reflectance method for discrimination between char- and soot-EC.

Yongming Han1, Junji Cao, Judith C Chow, John G Watson, Zhisheng An, Zhangdong Jin, Kochy Fung, Suixin Liu.   

Abstract

Many optical, thermal and chemical methods exist for the measurement of elemental carbon (EC) but are unable or neglect to differentiate between the different forms of EC such as char- or soot-EC. The thermal/optical reflectance (TOR) method applies different temperatures for measuring EC and organic carbon (OC) contents through programmed, progressive heating in a controlled atmosphere, making available eight separate carbon fractions - four OC, one pyrolyzed organic carbon, and three EC. These fractions were defined by temperature protocol, oxidation atmosphere, and laser-light reflectance/transmittance. Stepwise thermal evolutional oxidation of the TOR method makes it possible to distinguish char- from soot-EC. In this study, different EC reference materials, including char and soot, were used for testing it. The thermograms of EC reference materials showed that activation energy is lower for char- than soot-EC. Low-temperature EC1 (550 degrees C in a 98% He/2% O2 atmosphere) is more abundant for char samples. Diesel and n-hexane soot samples exhibit similar EC2 (700 degrees C in a 98% He/2% O2 atmosphere) peaks, while carbon black samples peaks at both EC2 and EC3 (800 degrees C in a 98% He/2% O2 atmosphere). These results supported the use of the TOR method to discriminate between char- and soot-EC.

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Year:  2007        PMID: 17462705     DOI: 10.1016/j.chemosphere.2007.03.024

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  19 in total

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Journal:  Environ Monit Assess       Date:  2016-02-06       Impact factor: 2.513

2.  Near-Real Time Measurement of Carbonaceous Aerosol Using Microplasma Spectroscopy: Application to Measurement of Carbon Nanomaterials.

Authors:  Lina Zheng; Pramod Kulkarni; M Eileen Birch; Gregory Deye; Dionysios D Dionysiou
Journal:  Aerosol Sci Technol       Date:  2016-08-18       Impact factor: 2.908

3.  Stronger association of polycyclic aromatic hydrocarbons with soot than with char in soils and sediments.

Authors:  Y M Han; B A M Bandowe; C Wei; J J Cao; W Wilcke; G H Wang; H Y Ni; Z D Jin; Z S An; B Z Yan
Journal:  Chemosphere       Date:  2014-03-20       Impact factor: 7.086

4.  Wintertime carbonaceous aerosols over Dhauladhar region of North-Western Himalayas.

Authors:  Deepika Kaushal; Ajay Kumar; Shweta Yadav; Ankit Tandon; Arun K Attri
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-06       Impact factor: 4.223

5.  Characterization of carbonaceous aerosols at Mount Lu in South China: implication for secondary organic carbon formation and long-range transport.

Authors:  Peng-hui Li; Yan Wang; Tao Li; Lei Sun; Xianliang Yi; Li-qiong Guo; Rui-hong Su
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-14       Impact factor: 4.223

6.  Sustained deposition of contaminants from the Deepwater Horizon spill.

Authors:  Beizhan Yan; Uta Passow; Jeffrey P Chanton; Eva-Maria Nöthig; Vernon Asper; Julia Sweet; Masha Pitiranggon; Arne Diercks; Dorothy Pak
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

7.  The rural carbonaceous aerosols in coarse, fine, and ultrafine particles during haze pollution in northwestern China.

Authors:  Chong-Shu Zhu; Jun-Ji Cao; Chuen-Jinn Tsai; Zhen-Xing Shen; Sui-Xin Liu; Ru-Jin Huang; Ning-ning Zhang; Ping Wang
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-31       Impact factor: 4.223

8.  Black carbon in surface soil of the Himalayas and Tibetan Plateau and its contribution to total black carbon deposition at glacial region.

Authors:  Sangita Gautam; Fangping Yan; Shichang Kang; Xiaowen Han; Bigyan Neupane; Pengfei Chen; Zhaofu Hu; Mika Sillanpää; Chaoliu Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-13       Impact factor: 4.223

9.  Characterization of carbonaceous fractions in PM2.5 and PM10 over a typical industrial city in central China.

Authors:  Changlin Zhan; Jiaquan Zhang; Jingru Zheng; Ruizhen Yao; Ping Wang; Hongxia Liu; Wensheng Xiao; Xianli Liu; Junji Cao
Journal:  Environ Sci Pollut Res Int       Date:  2017-10-18       Impact factor: 4.223

10.  Fractal morphology features and carbon component analysis of diesel particulates.

Authors:  Deqing Mei; Zongning Zhu; Congwei Mei; Zong Chen; Yinnan Yuan
Journal:  Environ Sci Pollut Res Int       Date:  2019-03-09       Impact factor: 4.223

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