Research on the viscosity and phase state of aerosol particles is essential because of their significant influence on the particle growth rate,
equilibration times, and related evolution of mass concentration as well as heterogeneous reactions. So far, most studies of viscosity and phase
state have been focused on organic aerosol particles, yet data on how viscosity can vary when the organic materials are mixed with inorganic salts
remain scarce. Herein, using bead-mobility and poke-and-flow techniques, we quantified viscosities at 293 ± 1 K for binary mixtures
of organic material /H2O and inorganic salts /H2O, as well as ternary mixtures of organic material / inorganic salts /H2O
over the atmospheric relative humidity (RH) range. Sucrose as the organic species and calcium nitrate (Ca(NO3)2) or magnesium nitrate
(Mg(NO3)2) as the inorganic salts were examined. For binary sucrose /H2O particles, the viscosities gradually increased from
∼ 3 × 10-2 to ≳1 × 108Pas as RH decreased from ∼ 75 % to ∼ 25 %. Compared
with the results for the sucrose /H2O particles, binary Ca(NO3)2/H2O and Mg(NO3)2/H2O
particles showed drastic enhancements to ≳1 × 108Pas at low RH close to the efflorescence RH. For ternary
mixtures of sucrose /Ca(NO3)2/H2O or sucrose /Mg(NO3)2/H2O, with organic-to-inorganic mass ratios of
1:1, the viscosities of the particles gradually increased from ∼ 3 × 10-2 to greater than
∼ 1 × 108Pas for RH values from ∼ 75 % to ∼ 5 %. Compared to the viscosities of the
Ca(NO3)2/H2O particles, higher viscosities were observed for the ternary sucrose /Ca(NO3)2/H2O
particles, with values increased by about 1 order of magnitude at 50 % RH and about 6 orders of magnitude at 35 % RH. Moreover, we applied a
thermodynamics-based group-contribution model (AIOMFAC-VISC, Aerosol Inorganic–Organic Mixtures Functional groups Activity Coefficients Viscosity) to predict aerosol viscosities for the studied systems. The model predictions and
viscosity measurements show good agreement within ∼ 1 order of magnitude in viscosity. The viscosity measurements indicate that the studied
mixed organic–inorganic particles range in phase state from liquid to semi-solid or even solid across the atmospheric RH range at a temperature of
293 K. These results support our understanding that organic / inorganic /H2O particles can exist in a liquid, semisolid, or even a
solid state in the troposphere.
Introduction
Aerosol particles are emitted from various natural (e.g., the ocean and plants) and anthropogenic (e.g., transportation and fuel combustion) sources,
as well as being produced by gas-to-particle conversion and equilibration processes due to chemical processing of gaseous species in the atmosphere
(e.g., sulfur dioxide, nitrogen oxides, ammonia, and volatile organic compounds). Submicron-sized aerosol particles mainly consist of organic
materials and inorganic salts (Jimenez et al., 2009; Huang et al., 2015; Cheng et al., 2016). Depending on the location and the season, the organic
mass fraction of submicron particles ranges from ∼ 20 % up to ∼ 90 % (Zhang et al., 2007; R. Zhang et al., 2015; Jimenez et al., 2009; Hao et al., 2014; Huang et al., 2015; Cheng et al., 2016; Wang et al., 2016). Field measurements have shown
that organic materials and inorganic salts are often internally mixed in an aerosol particle (Murphy et al., 2006; Y. C. Song et al., 2010, 2013). They can
significantly affect the local air quality (Kulmala et al., 2011; Wang et al., 2015a; R. Zhang et al., 2015; Schmedding
et al., 2020), regional climate (Russell et al., 1997; Kaufman et al., 2002; Kanakidou et al., 2005; Kulmala et al., 2011), and human health
(Bhattarai et al., 2020). However, the physicochemical properties of internally mixed particles such as the relative humidity (RH)-dependent
viscosities and morphologies remain poorly characterized.
The viscosity of aerosols can vary based on the RH and related water uptake, chemical composition, and temperature, with effects on the size
distribution (Shiraiwa et al., 2013; Zaveri et al., 2014, 2018), mass concentration of aerosol particles (Shiraiwa and Seinfeld, 2012; Yli-Juuti
et al., 2017; Kim et al., 2019), ice nucleation efficiency (Murray et al., 2010; Ladino et al., 2014; Knopf et al., 2018), and crystallinity of salts
(Murray, 2008; Song et al., 2013; Ji et al., 2017;
Wang et al., 2017). Depending on the viscosity, the phase state of aerosol particles can be
determined; commonly the dynamic viscosity of a liquid is characterized as being less than 102Pas, that of a semi-solid is between
102 and 1012Pas, and that of a glassy or crystalline solid is typically greater than 1012Pas (Zobrist et al.,
2008; Koop et al., 2011; Reid et al., 2018).
Most studies on this topic have focused on the determination of the viscosities and phase state of secondary organic aerosols (SOAs) (Mikhailov
et al., 2009; Virtanen et al., 2010; Koop et al., 2011; Vaden et al., 2011; Saukko et al., 2012; Renbaum-Wolff et al., 2013; Hao et al., 2014; Kidd
et al., 2014; Bateman et al., 2015; M. Song et al., 2015, 2016, 2019; Athanasiadis et al., 2016; Grayson
et al., 2016; Hinks et al., 2016; Hosny et al., 2016; Yli-Juuti et al., 2017; Petters et al., 2019; Wallace and
Preston, 2019; Gervasi et al., 2020; Schmedding et al., 2020). Different types of SOAs generated in environmental chambers and flow reactors have been
examined. The dynamic viscosities of some types of SOA particles (e.g., generated from toluene and diesel vapors) ranged from ≲ 10-3
to ≳ 108Pas, which is approximately equal to the range of viscosities between that of water and tar pitch, depending on the
RH, oxidation state, and chemical composition (Mikhailov et al., 2009; Virtanen et al., 2010; Vaden et al., 2011; Koop et al., 2011; Saukko et al.,
2012; Renbaum-Wolff et al., 2013a; Hao et al., 2014; Kidd et al., 2014; Bateman et al., 2015; Y. Zhang et al., 2015;
Athanasiadis et al., 2016; Grayson et al., 2016, 2017; Hinks et al., 2016;
Hosny et al., 2016; Rothfuss and Petters, 2017; Yli-Juuti et al., 2017; Petters et al., 2019; M. Song et al., 2015, 2016, 2019; Gervasi et al.,
2020). In addition to the viscosity of SOA, the viscosity effects of inorganic salts should also be investigated to better understand the viscosities
and phase states of atmospherically relevant mixed particles.
Only a few studies have investigated the viscosity and phase state of aerosol particles consisting of organic materials and inorganic salts. Power
et al. (2013) showed using holographic optical tweezers that the viscosity of sucrose /H2O particles is significantly greater than that of
NaCl /H2O particles at any RH. They also showed that the viscosity of mixed sucrose / NaCl /H2O particles decreased as the NaCl
concentration increased at a certain RH. Rovelli et al. (2019) used a different inorganic salt and observed that the viscosity of
sucrose /NaNO3/H2O particles decreased as the NaNO3 mass fraction increased at a certain RH. Richards
et al. (2020a) reported that
inorganic salt in organic and inorganic mixtures increased viscosity by the ion–molecule effect. Based on field measurements using a particle rebound
technique, Bateman et al. (2017) showed that the phase state of atmospheric submicron aerosol
particles consisting of biogenic organic compounds, sulfate, and black carbon in central Amazonia assumed a non-liquid state
(i.e., viscosity > 102Pas) even at relatively high RH values during periods of anthropogenic influence. They reported that the
aerosol particles influenced by a plume of urban pollution and biomass burning existed in a non-liquid state
(viscosity > 102Pas). Liu et al. (2019) observed atmospheric submicron aerosol
particles in a liquid phase state at RH > 60 % upon the enhancement of the aerosol nitrate fraction in Shenzhen, which is a subtropical
coastal urban city in China. Considering the wide variety of complex atmospheric aerosol compositions, more information on the viscosity of mixed
organic–inorganic particles is needed.
Using the bead-mobility and poke-and-flow techniques, at 293 ± 1 K, we measured the RH-dependent aerosol viscosities of binary mixtures
of organic material /H2O and inorganic salts /H2O, as well as ternary mixtures of organic material / inorganic salts /H2O under
dehydration conditions. Sucrose was selected as the model organic substance, because previous studies have frequently applied it as a surrogate species
for SOA (Zobrist et al., 2011; Power et al., 2013; Grayson et al., 2017; Y. C. Song et al.,
2016, 2020; Rothfuss and Petters, 2017; Rovelli et al., 2019). Ca(NO3)2 and Mg(NO3)2 were used as
model inorganic salts, because they have been commonly observed in mineral dust particles (Usher et al., 2003; Laskin et al., 2005; Sullivan et al.,
2007), and sea-salts (Gupta et al., 2015; Zieger et al., 2017) in the atmosphere (Usher et al., 2003; Laskin et al., 2005; Sullivan et al., 2007; Shi
et al., 2008; Song et al., 2010, 2013; Pan et al., 2017). Moreover, both of these nitrate salts have a relatively low efflorescence RH in aqueous
solutions, enabling viscosity measurements of crystal-free solutions from high RH down to at least 30 % RH. Using these binary and ternary
mixtures, we explore how the viscosities vary as a function of RH and associated aerosol compositions. Such viscosity studies can provide a better
knowledge of the physicochemical properties of atmospherically relevant aerosol particles consisting of organic material and inorganic salts.
ExperimentalGeneration of particles
Sucrose (99.5 % purity, Sigma-Aldrich), Ca(NO3)2⚫4H2O (99.997 % purity, Sigma-Aldrich), and
Mg(NO3)2⚫6H2O (99.99 % purity, Sigma-Aldrich) were purchased. Solutions containing each compound were prepared at
10 wt.% in pure water (resistivity ≥ 18.2 MΩcm, Merck Millipore Synergy, Germany). For ternary mixtures, solutions
were prepared at an organic-to-inorganic dry mass ratio (OIR) of 1:1. This dry mass ratio was chosen since it is expected to reveal well the effects
of mixing of substantial amounts of both the organic and salt components on overall water uptake and viscosity. For the bead-mobility and
poke-and-flow experiments, the aqueous solutions were nebulized on a hydrophobic substrate (Hampton Research, Canada). After nebulizing, the substrate
with droplets was set in a flow cell which was placed below an objective mounted on an optical microscope (Olympus CKX53 with 40× objective)
(Pant et al., 2006; Bertram et al., 2011; Song
et al., 2012; Ham et al., 2019). The RH in the cell
was adjusted by controlling the N2 mixing ratio of the dry and wet gas flows. The RH in the flow cell was continuously monitored by a
digital humidity sensor (Sensirion, SHT C3, Switzerland). The RH reading from the flow cell was calibrated by measurement and comparison to the
deliquescence RH (DRH) at 293 ± 1 K of saturated aqueous solutions of ammonium sulfate (80.5 %), sodium chloride (76.0 %), and
potassium carbonate (44.0 %) (Winston and Bates, 1960). The uncertainty of the RH of the humidified N2 flow was ± 1.5 % RH
based on the calibration tests. At the initiation of the bead-mobility and poke-and-flow experiments, the RH was maintained at ∼ 85 %, and
the particles equilibrated for ∼ 20 min. Then, the RH was reduced to the target RH (∼ 80 % to ∼ 0 % RH) and
equilibrated for ∼ 30 min for the bead-mobility experiments and for ≳ 2 h for the poke-and-flow experiments to give
sufficient time for reaching equilibrium with the surrounding water vapor (Grayson et al., 2015, Song et al., 2019; Maclean et al., 2021). At a given
RH, particles that were 20–100 µm in diameter were selected for the optical observation. All viscosity measurements were carried out at a
temperature of 293 ± 1 K.
Bead-mobility technique
The bead-mobility technique was utilized, which can quantify a range of viscosities from ∼ 10-3 to ∼ 103Pas
(Renbaum-Wolff et al., 2013b). At the beginning of the bead-mobility experiments, insoluble melamine beads (cat. no. 86296, Sigma-Aldrich), which were
∼ 1 µm in diameter and dispersed in pure water, were incorporated directly into the droplets deposited on the hydrophobic
substrate. Aerosol particles were then placed into the flow cell, as described in Sect. 2.1. The total gas flow in the cell was 1200 sccm for
the bead-mobility experiments. The continuous gas flow generates a shear stress on a particle's surface, which yields internal circulations of the
beads in the particles during measurements. The movement of the beads at 293 ± 1 K was recorded every 1 s with a CMOS camera
(MSC-M 3.0 UCMOS, China) and then quantified at a target RH. The viscosity was calculated from the bead speeds using a calibration line, which
produced bead speeds for the sucrose particles at different RH values (see Fig. S1 in the Supplement). Figure S2 in the Supplement illustrates the
mean bead speeds of each system as a function of the RH. When the bead speeds within a particle are too slow to be observed with this technique
(i.e., below ∼ 10-6µmms-1 corresponding to ∼ 102Pas; see Figs. S1 and S2), we used the
poke-and-flow technique (Sect. 2.3). For example, the movement of the beads within Mg(NO3)2/H2O particles at ∼ 35 %
RH was too slow to be readily observed (Fig. S2). Further information on the calibration and the bead-mobility technique is given in Sect. S1 in the
Supplement.
Poke-and-flow technique
Murray et al. (2012) developed the poke-and-flow technique for phase state determination, which was
expanded for the quantification of viscosities ≳ 102Pas by Renbaum-Wolff et al. (2013a), Grayson et al. (2015), and Song
et al. (2015). This technique uses a small hole on the top of the flow cell to allow us to poke the particles on the hydrophobic substrate using a
sterilized sharp needle (Jung Rim Medical Industrial Co., South Korea). Using a micromanipulator (Narishige, model MO-152, Japan), the needle was
controlled in the x, y, and z directions. The needle was passed through from the top to the bottom of a particle and then the needle was
removed. After poking, the geometrical change of a deposited particle was observed and recorded by an optical microscope (Olympus CKX53 with
40× objective) with a CCD camera (MSC-M 3.0 UCMOS, China). All experiments were carried out at 293 ± 1 K.
Figure S3 in the Supplement shows an example of the geometrical changes in the sucrose /H2O, sucrose /Ca(NO3)2/H2O, and
sucrose /Mg(NO3)2/H2O particles during pre-poking, poking, and post-poking. Before poking by the needle, the particles had a
geometry of a spherical cap. After poking by a needle, a half-torus geometry with an inner hole in the particle was observed. As time progressed, the
particle recovered by adopting its original geometry by filling of the hole to minimize the surface energy. The experimental flow time
(τ(exp, flow)) was obtained when the area of the inner hole just after poking (t= 0 s. Fig. S3) decreased to 1/4 of
the initial inner hole area (Renbaum-Wolff et al., 2013a; Grayson et al., 2015, 2016; Song et al., 2019). Figure S4 in the Supplement shows the
τ(exp, flow) at different RH values for sucrose /H2O, sucrose /Mg(NO3)2/H2O, and
sucrose /Ca(NO3)2/H2O particles. The τ(exp, flow) of the particles was converted to the lower limit to the
viscosity using the equation reported in Sellier et al. (2015). Using the poke-and-flow technique,
the upper limit to viscosity is unknown in this work. For binary mixtures of inorganic salts /H2O, we were unable to determine the viscosity
between 102 to 108Pas because the poke-and-flow technique is not accessible for droplets that are supersaturated with respect to
a crystalline state of involved inorganic salts. We also measured the RH value and corresponding viscosity at which the particles cracked. When the
particles cracked upon poking, without any detectable flow after a duration of > 5 h at a given RH, we defined a lower limit to the
viscosity of 1 × 108Pas based on the results of Renbaum-Wolff et al. (2013a), Grayson et al. (2015, 2016), and Song
et al. (2019). Further details on these experiments can be found in Sect. S2 of the Supplement.
AIOMFAC-VISC model
The Aerosol Inorganic–Organic Mixtures Functional groups Activity Coefficients Viscosity model (AIOMFAC-VISC) is a thermodynamics-based
group-contribution model for predicting the viscosity of aqueous organic mixtures (Gervasi et al., 2020). It is an extension module to the AIOMFAC
model, which explicitly describes interactions among organic functional groups, inorganic ions, and water (Zuend et al., 2008, 2011). The AIOMFAC-VISC
model offers predictive estimates of mixture viscosity covering the range from liquid-like low-viscosity aqueous solutions to highly viscous
organic-rich amorphous solutions in the atmospherically relevant temperature range. An online version of AIOMFAC (AIOMFAC-web), which includes
viscosity predictions for aqueous organic mixtures, can be run at https://aiomfac.lab.mcgill.ca (last access: 2 July 2021).
Aside from the focus on the viscosity effects of organic compounds, in recent work AIOMFAC-VISC has been further developed to enable the prediction of
the viscosity of aqueous electrolyte solutions and aqueous inorganic–organic mixtures; with details provided elsewhere (Lilek and Zuend,
2021). Briefly, a semi-empirical approach was introduced to predict the mixture viscosity of aqueous
electrolyte solutions as a function of temperature, ion activities, and ionic strength. Model parameters for the aqueous ion interaction approach were
simultaneously fitted to room temperature viscosity measurements aggregated by Laliberté (2007,
2009) for many electrolyte solutions. The training dataset for AIOMFAC-VISC did not include measurements for the nitrate salts investigated in this study. For aqueous electrolyte
solutions, AIOMFAC-VISC predictions currently achieve an excellent level of accuracy, comparable to that of the fitted expressions by Laliberté
(2007). Furthermore, to more accurately capture the water uptake behavior of sucrose as a function of equilibrium RH (i.e., water activity of the
solution), the version of AIOMFAC-VISC used to produce the viscosity predictions for the sucrose-containing systems in this work includes an improved
treatment of the ether-group–water interactions of sucrose. Thus, viscosity predictions in this study for aqueous sucrose differ slightly from those
of the AIOMFAC-web model version.
For the viscosities of ternary mixtures, a Zdanovskii–Stokes–Robinson (ZSR) type mixing rule is applied to predict the viscosity of the ternary
mixtures of organic material / inorganic salts /H2O. This mixing rule is here adopted for viscosity applications since the AIOMFAC-VISC model
does presently not include explicit ion–organic interaction effects on viscosity (only on activity coefficients). Therefore, a mixing rule is
required to combine the predictions of the viscosity contributions from the electrolyte-free subsystem (sucrose /H2O) and those from the
organic-free aqueous electrolyte subsystem for the viscosity estimation of the full mixture. Generally, the ZSR approach involves combining some
physical property of two or more (binary) mixtures at the same RH, often to determine the water content of the whole multicomponent mixture
(Zdanovskii, 1936, 1948; Stokes and Robinson, 1966). Following the experimental conditions, the AIOMFAC-VISC predictions for the ternary systems use
an OIR of 1:1, which constrains at each RH level the fractional contributions of mass (f1, f2) from each of the subsystems,
sucrose /H2O (1) or salt /H2O (2). The viscosity of the overall mixture is then obtained as ln(η/η∘)=f1ln(η1/η∘)+f2ln(η2/η∘), with η∘ denoting unit viscosity (1 Pas); see details in
Sect. S5 in the Supplement.
Measured dynamic viscosities of sucrose /H2O particles compared with previous studies at 293 K (Hosny et al., 2013, fluorescent lifetime imaging; Power et al., 2013, and Y. C. Song et al., 2016, aerosol optical tweezers; Grayson et al., 2015, and Song et al., 2015, bead-mobility and poke-and-flow techniques) and this study. The error bars in relative humidity (RH) were generated from the calibrated RH uncertainty and the standard deviation from grouped viscosity data (grouped by RH ranges), which included at least three data points. The error bars in viscosities were produced by 95 % prediction bands of viscosities (Fig. S1). Upward arrows represent lower limit to the viscosities of the particles that calculated by the experimental flow time and the equation reported in Sellier et al. (2015). Details are described in Fig. S2. Light blue and green regions indicate liquid and semi-solid regions, respectively.
Optical images during poke-and-flow experiments at the points of pre-poking, poking, and post-poking for particles consisting of (a) sucrose /H2O, (b)Mg(NO3)2/H2O, and (c)Ca(NO3)2/H2O for relative humidity (RH) where the particles shattered. The scale bar is 5 µm.
Results and discussionViscosities of particles consisting of sucrose <inline-formula><mml:math id="M221" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M222" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>
Figure 1 shows the RH-dependent viscosities of sucrose /H2O particles obtained using the bead-mobility and poke-and-flow techniques. The
viscosities of sucrose /H2O particles were determined to be between ∼ 2 × 10-1 and
∼ 1 × 101Pas for RH values of ∼ 85 %–69 % and between ∼ 5 × 103 and
∼ 2 × 106Pas for RH values of ∼ 50 %–37 % (Fig. 1). The particles containing sucrose /H2O cracked at
∼ 23 % RH when poked with a needle, and restorative flow did not occur over a time span of 5 h (Fig. 2a). Consequently, only a lower
limit for the viscosity of ∼ 108Pas was obtained (Renbaum-Wolff et al., 2013a; Grayson et al., 2015, 2016; Song et al., 2015a,
2019). Figure 1 also includes results from previous studies for the viscosities of sucrose /H2O particles using different techniques such as
bead-mobility, poke-and-flow, holographic optical tweezers, and fluorescence lifetime imaging microscopy (Hosny et al., 2013, Power et al. 2013, Grayson et al., 2015, Song et al., 2015; Y. C. Song et al., 2016). As shown in Fig. 1, the viscosities for the sucrose /H2O particles from this study and previous studies are consistent within
∼ 1 order of magnitude at given RH values. Using the entire dataset, it suggests that the sucrose /H2O particle are in a liquid phase
state for RH ≳65 %, in a semi-solid phase state for ∼ 25 % < RH ≲ 65 %, and in a semi-solid or solid
phase state for RH ≲ 23 %.
Despite the abundant mass of inorganic species in the atmosphere (Jimenez et al., 2009; Cheng et al., 2016), few studies have reported the viscosity
of single particles consisting of inorganic species covering the RH range to high salt concentrations (Power et al., 2013; Rovelli et al.,
2019). Herein, the RH-dependent viscosity was quantified for particles consisting of Mg(NO3)2/H2O or
Ca(NO3)2/H2O determined at 293 ± 1 K upon dehydration using the bead-mobility and poke-and-flow techniques.
Viscosities of inorganic salts containing Ca(NO3)2/H2O and Mg(NO3)2/H2O, as well as previous results (Abdulagatov et al., 2004; Wahab et al., 2006; Haynes, 2015; bulk measurements) and this study. Also, viscosities of NaNO3/H2O from previous studies are included (CRC Handbook; Rovelli et al., 2019, aerosol optical tweezers). Upward arrows represent a lower limit for the viscosities of the particles calculated by the experimental flow time and the equation reported in Sellier et al. (2015). The error bars in relative humidity (RH) were generated from combined RH sensor uncertainty and the standard deviation from the grouped viscosity data by RH, which included at least three data points. The error bars in viscosities were produced by 95 % prediction bands of viscosities (Fig. S1). Light blue region indicates a liquid phase, and light green region indicates a semi-solid phase.
Figure 3 illustrates the RH-dependent viscosities of Mg(NO3)2/H2O or Ca(NO3)2/H2O particles upon
dehydration. The obtained viscosities of the Mg(NO3)2/H2O particles varied from ∼ 6 × 10-3 to
∼ 4 × 10-2Pas for RH values from ∼ 70 % to ∼ 35 %, whereas the values for
Ca(NO3)2/H2O ranged from ∼ 3 × 10-2 to ∼ 9 × 101Pas for RH values from
∼ 65 % to ∼ 10 %. Previous studies have reported the viscosities of Ca(NO3)2/H2O and
Mg(NO3)2/H2O solutions only at high RH values based on bulk solution measurements (Fig. 3) (Abdulagatov et al., 2004; Wahab
et al., 2006). The values of the viscosities of the particles at high RH are consistent with our results within ∼ 1 order magnitude despite a
limited number of data points due to the solubility limit restricting bulk solution measurements to the RH range above 70 %. In addition, Fig. 3
shows the viscosities of NaNO3/H2O particles measured by other groups (Haynes, 2015; Rovelli et al., 2019). The viscosities of the
NaNO3/H2O particles were similar to those of the Ca(NO3)2/H2O particles for the RH range from ∼ 30 % to
∼ 100 %.
During the poke-and-flow experiments, the Mg(NO3)2/H2O or Ca(NO3)2/H2O particles cracked when poked with
a needle at RH values of 30 % and 5 %, respectively. At these RH levels, noticeable restorative flow did not occur for over 5 h
(Fig. 2b and c), which resulted in a lower estimated limit for the viscosity (∼ 108Pas) at the given RH values. The RH value
where the particles shattered is similar to the efflorescence RH (ERH) of Mg(NO3)2/H2O. The ERH of
Mg(NO3)2/H2O is known to be ∼ 30 % at 298 K (Li et al., 2008; Wang et al., 2015b) and RH of crystallization
for Ca(NO3)2/H2O is reported to be ∼ 7 % at 298 K (Liu et al., 2008). In this study, we optically observed an
ERH of 32.0 ± 2.5 % for Mg(NO3)2/H2O particles (i.e., Fig. S5b), but we did not optically observe the ERH of
Ca(NO3)2/H2O at 293 ± 1 K with decreasing RH (Fig. S5c). Liu et al. (2008) also observed optically no
efflorescence point for Ca(NO3)2/H2O particles down to 0 % RH using an optical microscope, but they confirmed the
crystallization for Ca(NO3)2/H2O particles at RH of ∼ 7 % by Raman spectroscopy at 298 K. The RH values at
which shattering of particles occurred for the binary inorganic salt particles of Mg(NO3)2/H2O or
Ca(NO3)2/H2O were close to their reported ERH values and/or the RH of crystallization. When comparing the two inorganic salts,
Ca(NO3)2/H2O particles showed slightly higher viscosities than the Mg(NO3)2/H2O particles,
i.e., approximately 1 order of magnitude higher at equivalent RH for the RH range from ∼ 60 % to 30 % (Fig. 3). The difference in
viscosities is likely due to the higher hygroscopicity of dissolved Mg(NO3)2 compared to Ca(NO3)2 (Guo et al.,
2019). The Ca(NO3)2/H2O particles were a liquid phase state at
RH ≳ 10 % and a semi-solid or solid phase state at RH ≲ 5 %. The Mg(NO3)2/H2O particles were a liquid phase state at RH ≳ 35 % and a semi-solid or solid phase state at RH ≲ 30 %. Based on the viscosity
measurement, both inorganic particles underwent a phase change from liquid (< 102Pas) to semi-solid or solid
(> 102Pas ) within a narrow RH range (Fig. 3) compared to the sucrose /H2O particles (Fig. 1). Indeed, this discontinuity
in viscosity with decreasing RH suggests a phase transition.
Comparison of viscosities of binary and ternary systems obtained from the bead-mobility and poke-and-flow experiments. (a) Mean viscosities of sucrose /H2O, Ca(NO3)2/H2O, and sucrose /Ca(NO3)2/H2O particles with polynomial fits from measured viscosities for an organic-to-inorganic mass ratio (OIR) of 1:1. All data at a temperature of 293 ± 1 K, (b) Mean viscosities of sucrose /H2O, Ca(NO3)2/H2O (grouped by relative humidity (RH) using data from Fig. 3), and sucrose /Ca(NO3)2/H2O particles with AIOMFAC-VISC model predictions, (c) mean viscosities of sucrose /H2O, Mg(NO3)2/H2O (grouped by RH using data from Fig. 3), and sucrose /Mg(NO3)2/H2O particles with polynomial fits from measured viscosities for an OIR of 1:1, (d) mean viscosities of sucrose /H2O, Mg(NO3)2/H2O, and sucrose /Mg(NO3)2/H2O particles with AIOMFAC-VISC model predictions. The error bars in RH were generated from the RH uncertainty and the standard deviation of individual data grouped by RH. The error bars in viscosity represent grouped viscosity by RH including at least three data points. Symbols marked with upward arrows represent lower limits of the viscosities of the particles calculated based on the experimental flow time period and the equation reported in Sellier et al. (2015). Fitting (solid line curves and shaded areas) from measured viscosities are based on second-order polynomial curve fits with 95 % confidence bands. Predictions (dash line curves with checker shaded areas) are based on from AIOMFAC-VISC model. The parameterizations are described in Sect. S3 and Table S1 in the Supplement. Light blue and green regions represent liquid and semi-solid phase state ranges, respectively.
To explore the viscosity of more atmospherically relevant aerosol particle configurations, we investigated ternary systems containing sucrose mixed
with either Ca(NO3)2 or Mg(NO3)2 for OIR of 1:1 at 293 ± 1 K. Shown in Fig. 4 are the viscosities for the
sucrose /Ca(NO3)2/H2O (Fig. 4a) and sucrose /Mg(NO3)2/H2O particles (Fig. 4c) upon dehydration using the
bead-mobility and the poke-and-flow measurement techniques.
Optical images during poke-and-flow experiments at the points of pre-poking, poking, and post-poking for particles consisting of (a) sucrose /Ca(NO3)2/H2O particles and (b) sucrose /Mg(NO3)2/H2O particles for relative humidity (RH) where the particles shattered. The scale bar indicates 5 µm.
The viscosities of the sucrose /Ca(NO3)2/H2O particles ranged from ∼ 3 × 101 to
∼ 3 × 10-2Pas at ∼ 45 < RH ≲ 80 % and from ∼ 9 × 105 to
∼ 3 × 104Pas at ∼ 25 < RH ≲ 30 % (Fig. 4a). At ∼ 13 % RH, when poked with a
needle, the sucrose /Ca(NO3)2/H2O particles cracked. Thereafter, the particles did not exhibit any notable flow behavior for
over 5 h (Fig. 5a), producing a lower limit for the viscosity of ∼ 108Pas. This result indicates that the
sucrose /Ca(NO3)2/H2O particles were in a liquid phase state at RH ≳ 45 %, in a semi-solid state at
∼ 25 % < RH ≲ 30 %, and in a semi-solid or solid state for RH ≲ 13 %.
For sucrose /Mg(NO3)2/H2O particles, the viscosities ranged from ∼ 7 × 10-2 to
∼ 1 × 101Pas for RH values ranging from ∼ 70 % to ∼ 35 % and from ∼ 2 × 104 to
∼ 2 × 105Pas for the RH ranging from ∼ 17 % to ∼ 11 % (Fig. 4c). The
sucrose /Ca(NO3)2/H2O particles cracked at ∼ 6 % RH without flow over 5 h (Fig. 5b); and thus the lower limit
of the viscosity was determined to be ∼ 108Pas. These results imply that the sucrose /Ca(NO3)2/H2O
particles are in a liquid phase state at RH ≳ 35 %, a semi-solid phase state for 17 % < RH < 11 %, and a semi-solid or
solid phase state at RH ≲ 6 %. As shown in Fig. 4a and c, the viscosities of the sucrose /Mg(NO3)2/H2O
particles are approximately 1 order of magnitude lower at 50 % RH and ∼ 6 orders of magnitude lower at 35 % RH than the
sucrose /Ca(NO3)2/H2O particles over the same RH range. Both particles experienced a phase state change from a liquid phase
state to a semi-solid or even solid phase state with decreasing RH. Finally, although not confirmed by our measurements, it is possible that in one or
both of these ternary mixtures a gel phase transition may occur upon sufficient dehydration, as has been observed in mixtures of gluconic acid with
CaCl2 (Richards et al., 2020a, b).
Model–measurement comparison of viscosity
Figure 4b and d show the model–measurement comparison of the RH-dependent viscosities of the binary and ternary systems. For the viscosities of
sucrose /H2O, the viscosities from the AIOMFAC-VISC model prediction agreed with the measurements within ∼ 1 order of magnitude. For
the viscosities of Ca(NO3)2/H2O and Mg(NO3)2/H2O, the viscosity prediction from the AIOMFAC-VISC model
showed a good agreement until the measured inorganic salt viscosities change steeply, indicating crystallization or another phase transition that the
model ignores. When comparing AIOMFAC-VISC viscosity predictions to the measurements in this study, note that AIOMFAC-VISC assumes that mixtures
remain in a metastable state to low water activity (or high solution concentration) and that solutes do not crystallize, which may explain the
discrepancy among the model predictions and the measurements in the low RH region shown in Fig. 4b and d. Moreover, we note that the training of the
AIOMFAC-VISC electrolyte solution model parameters did not include data from this study. The model predictions at RH levels below ∼ 20 %
represent extrapolations of the model beyond the range of experimental data used in its training.
In AIOMFAC-VISC, the prediction of the temperature-dependent pure-component viscosity is based on the experimentally determined, yet uncertain, glass
transition RH. As such, we include error thresholds of ± 5 % in the pure-component glass transition RH in Fig. 4 (Gervasi et al., 2020). Such
uncertainty estimates are not necessary for aqueous electrolyte mixtures, so the AIOMFAC-VISC model sensitivity is shown instead, which is defined as
the viscosity change due to a ± 2 % change in the mass fraction of water of the solution, while the ratio of the other components is
preserved (Gervasi et al., 2020). The uncertainty in the aqueous sucrose viscosity dominates the modeled uncertainty of viscosity estimates for the
ternary mixtures. For the viscosities of ternary sucrose /Ca(NO3)2/H2O or sucrose /Mg(NO3)2/H2O solutions,
AIOMFAC-VISC viscosity predictions show agreement with the measurements within about 1 order of magnitude from high RH to about 30 % RH
(considering measurement uncertainty). In the case of the ternary sucrose /Ca(NO3)2/H2O system, the model–measurement deviation
increases to about 1.5 orders of magnitude in viscosity at 30 % RH and lower, with AIOMFAC-VISC underestimating the measured viscosity. This
result may be explained at least in part by the model predicting substantially lower viscosities for the binary aqueous Ca(NO3)2 system
in this lower RH range, which affects the predictions for the ternary system via the deployed mixing rule. The good agreement between model and
measurements for the ternary sucrose /Mg(NO3)2/H2O system, even at low RH levels, may be interpreted as indicative of suppressed
salt crystallization in the presence of sucrose, since no discontinuities in viscosity are observed (in contrast to the measurements for the binary
salt particles).
Conclusion and atmospheric implications
Herein, we measured the RH-dependent viscosities at 293 ± 1 K for particles consisting of organic material /H2O, inorganic
salt /H2O, and organic material / inorganic salt /H2O upon dehydration using the bead-mobility and poke-and-flow techniques. We
selected sucrose as the organic species as previous studies have frequently applied it as a surrogate species of SOA, and this organic offers
favorable properties for measurements. Ca(NO3)2 and Mg(NO3)2 were selected as the inorganic salts for viscosity measurements
as these inorganic salts have been frequently observed from mineral dust and sea salt particles (Usher et al., 2003; Laskin et al., 2005;
Sullivan et al., 2007). For the binary mixtures, the obtained viscosity of the sucrose /H2O particles agreed well with those reported in
previous studies, i.e., mixture viscosities < 102Pas at RH ≳ 65 %, which corresponds to a liquid phase state;
mixture viscosities of ∼ 102 to 108Pas at RH values between ∼ 65 % and ∼ 25 %, which correspond to a
semi-solid phase state; and mixture viscosities ≳108Pas at RH ≲ 25 %, which correspond to semi-solid or
amorphous (or crystalline) solid phase states (Power et al., 2013; Grayson et al., 2017; Y. C. Song
et al., 2016; Rothfuss and Petters, 2017; Rovelli et al., 2019). Upon dehydration, we also quantified the viscosities
of the inorganic salts. The viscosities of the Mg(NO3)2/H2O particles were ≲ 4 × 10-2Pas
for RH ≳ 35 % and ≳ 108Pas for RH ≲ 31 %, whereas those of the
Ca(NO3)2/H2O particles were ≲ 9 × 100Pas for RH ≳ 10 % and
≳ 108Pas for RH ≲ 10 %. The particles containing either of these two inorganic salts cracked upon poking
when the RH reached a value near the salt's ERH and/or the phase transition RH from a droplet to a solid phase state. These inorganic particles
exhibited a sudden enhancement in the viscosity when the particle effloresced. In contrast, sucrose /H2O particles showed a smooth
enhancement in the viscosity with decreasing RH; this means that the viscosity of sucrose /H2O particles gradually approached their glass
transition RH. The AIOMFAC-VISC model prediction and viscosity measurements showed a good agreement within ∼ 1 order of magnitude, especially at
RH levels above 30 %, where applicable. For sucrose /Ca(NO3)2/H2O particles and sucrose /Mg(NO3)2/H2O,
predicted and measured viscosities showed good agreement over the whole RH range.
The phase states of aerosol particles have an impact on rate and potential for heterogeneous reactions as well as consequences for the resulting mass
concentration of aerosol particles. The uptake coefficient of gas-phase oxidants depends on the phase states of aerosol particles (George and Abbatt,
2010; Xiao and Bertram, 2011; Kuwata and Martin,
2012; Slade and Knopf, 2014; Davies and Wilson, 2015; Berkemeier et al., 2016; Li et al., 2020; Xu
et al., 2020). For example, ozone uptake coefficients (γO3) decreased by an order of magnitude in a semi-solid phase state compared
to a liquid phase state (Steimer et al., 2015). Moreover, the effective mass concentration of aerosol particles can depend on the (assumed or
modeled) phase state of aerosol particles (Shiraiwa and Seinfeld, 2012; Yli-Juuti et al., 2017; Kim et al., 2019). If a liquid aerosol phase state is
assumed, the mass concentration may be overpredicted by up to 1 order of magnitude (Shiraiwa and Seinfeld, 2012). Based on the measurements and
calculations, our results show that the studied aerosol particles consisting of organic material / inorganic salt /H2O range from liquid to
semi-solid or solid phase states depending on the RH. A caveat is that a single OIR of 1:1 and relatively simple aerosol systems were used compared
to the multicomponent, multiphase particles likely occurring in the real atmosphere (Murphy et al., 2006; Jimenez et al., 2009; Song et al., 2010,
2013; Huang et al., 2015; Cheng et al., 2016). Further studies are needed to confirm the equilibrating timescales of mixed organic–inorganic
particles under ambient conditions, including the timescale for the equilibration of semivolatile organics and inorganics. Added complexity in
particle morphology, such as phase separation, can also influence the equilibration timescale (e.g., Huang et al., 2021); however, our systems did not
exhibit phase separation for the studied mixing ratios. Additional investigations are required to further explore and quantify how the viscosities and
phase states of mixed organic–inorganic particles vary with the OIR, temperature, and functional group complexity.
Data availability
Underlying material and related data for this paper are provided in the Supplement.
The supplement related to this article is available online at: https://doi.org/10.5194/acp-21-10215-2021-supplement.
Author contributions
MS and YCS designed this study. MS and JBL setup and calibrated the viscosity instrument. YCS and MS conducted viscosity experiments and analyzed the data. JL and AZ conducted AIOMFAC-VISC model predictions. YCS and MS prepared the article with contributions from JL, JBL, AZ, ZJ, and MNC.
Competing interests
The authors declare that they have no conflict of interest.
Disclaimer
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Acknowledgements
Mijung Song gives thanks to Dongwan Ham for the technical support.
Financial support
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (grant no. NRF-2019R1A2C1086187) and by the Fine Particle Research Initiative in East Asia Considering National Differences (FRIEND) project (2020M3G1A1114548). This project was undertaken with the financial support of the government of Canada through the federal Department of Environment and Climate Change (grant no. GCXE20S049). This work was also supported by Alfred P. Sloan Foundation under Prime Award no. G-2020-13912 and the Regents of the University of California.
Review statement
This paper was edited by Daniel Knopf and reviewed by two anonymous referees.
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