A comprehensive characterization of ice nucleation by three different types of cellulose particles immersed in water

Hiranuma, N: Adachi and Adachi, Kouji and Bell, D. M. and Belosi, Franco and Beydoun, Hassan and Bhaduri, Bhaskar and Bingemer, Heinz and Budke, Carsten and Clemen, Hans-Christian and Conen, Franz and Cory, Kimberly M. and Curtis, Joachim and DeMott, Paul J. and Eppers, Olivier and Grawe, Sarah and Hartmann, Susan and Hoffmann, Nadine and Höhler, Kristina and Jantsch, Evelyn and Kiselev, Alexei and Koop, Thomas and Kulkarni, Gourihar and Mayer, Amelie and Murakami, Masataka and Murray, Benjamin J. and Nicosia, Alessia and Petters, Markus D. and Piazza, Matteo and Polen, Michael and Reicher, Naama and Rudich , Yinon and Saito, Atushi and Santachiara, Gianni and Schiebel, Thea and Schill, Gregg P. and Schneider , Johannes and Segev, Lior and Sttopelli, Emiliano and Sullivan, Ryan C. and Suski, Kaitlyn and Szakall, Miklos and Tajiri, Takuya and Taylor, Hans and Tobo, Yutaka and Ulrich, Romy and Weber , Daniel and Wex , Heike and Whale, Thomas F. and Whiteside, Craig L. and Yamashita, Katsuya and Zelenyuk, Alla and Möhler, Ottmar. (2019) A comprehensive characterization of ice nucleation by three different types of cellulose particles immersed in water. Atmospheric Chemistry and Physics, 19 (7). pp. 4823-4849.

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Official URL: https://edoc.unibas.ch/70191/

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We present the laboratory results of immersion freezing efficiencies of cellulose particles at supercooled temperature (T) conditions. Three types of chemically homogeneous cellulose samples are used as surrogates that represent supermicron and submicron ice-nucleating plant structural polymers. These samples include microcrystalline cellulose (MCC), fibrous cellulose (FC) and nanocrystalline cellulose (NCC). Our immersion freezing dataset includes data from various ice nucleation measurement techniques available at 17 different institutions, including nine dry dispersion and 11 aqueous suspension techniques. With a total of 20 methods, we performed systematic accuracy and precision analysis of measurements from all 20 measurement techniques by evaluating T-binned (1 ∘C) data over a wide T range (−36 ∘C <T<−4 ∘C). Specifically, we intercompared the geometric surface area-based ice nucleation active surface site (INAS) density data derived from our measurements as a function of T, ns,geo(T). Additionally, we also compared the ns,geo(T) values and the freezing spectral slope parameter (Δlog(ns,geo)/ΔT) from our measurements to previous literature results. Results show all three cellulose materials are reasonably ice active. The freezing efficiencies of NCC samples agree reasonably well, whereas the diversity for the other two samples spans ≈ 10 ∘C. Despite given uncertainties within each instrument technique, the overall trend of the ns,geo(T) spectrum traced by the T-binned average of measurements suggests that predominantly supermicron-sized cellulose particles (MCC and FC) generally act as more efficient ice-nucleating particles (INPs) than NCC with about 1 order of magnitude higher ns,geo(T).
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Geowissenschaften > Umweltgeowissenschaften (Alewell)
UniBasel Contributors:Conen, Franz
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:17 Aug 2020 06:51
Deposited On:13 Aug 2020 15:43

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