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Aqueous reactive species induced by a surface air discharge: Heterogeneous mass transfer and liquid chemistry pathways

Scientific Reports volume 6, Article number: 23737 (2016) | Download Citation

Abstract

Plasma-liquid interaction is a critical area of plasma science and a knowledge bottleneck for many promising applications. In this paper, the interaction between a surface air discharge and its downstream sample of deionized water is studied with a system-level computational model, which has previously reached good agreement with experimental results. Our computational results reveal that the plasma-induced aqueous species are mainly H+, nitrate, nitrite, H2O2 and O3. In addition, various short-lived aqueous species are also induced, regardless whether they are generated in the gas phase first. The production/loss pathways for aqueous species are quantified for an air gap width ranging from 0.1 to 2 cm, of which heterogeneous mass transfer and liquid chemistry are found to play a dominant role. The short-lived reactive oxygen species (ROS) and reactive nitrogen species (RNS) are strongly coupled in liquid-phase reactions: NO3 is an important precursor for short-lived ROS, and in turn OH, O2 and HO2 play a crucial role for the production of short-lived RNS. Also, heterogeneous mass transfer depends strongly on the air gap width, resulting in two distinct scenarios separated by a critical air gap of 0.5 cm. The liquid chemistry is significantly different in these two scenarios.

Introduction

Cold atmospheric-pressure plasmas have great prospects in various application fields such as biomedicine, wastewater treatment, agriculture and nano-technology1,2,3,4. Although the plasma-generated reactive species especially reactive oxygen species (ROS) and reactive nitrogen species (RNS) are widely thought to play a dominant role in many applications, the knowledge of such species is mostly limited in the gas phase, not directly relevant to the targets to be treated in a moisture environment or in bulk liquids. Given that some gaseous species are capable of penetrating only very short distances into water, ~2.5 nm in the case of electrons for instance, plasma-induced aqueous species which can directly act on targets are very different from the gas phase5,6,7,8. At present, how gaseous reactive species may be correlated to their aqueous counterparts is far from well understood, nor are physicochemical behaviors of reactive species in plasma activated water (PAW)5,6,7,8,9,10. Plasma-liquid interaction is a critical area of plasma science and a knowledge bottleneck for many promising applications.

In this paper, the interaction between a surface air discharge and the downstream dish of deionized water is studied. Our aim is to quantify the density profiles of the aqueous reactive species, and to map their production pathways. Surface air plasmas have recently been used in a number of important applications11,12,13,14,15, and their electrical disconnection from a downstream sample allows for the plasma properties to remain very similar regardless of the electrical properties of the sample. Recently mass transfer and associated reaction chemistry from a surface air plasma to a downstream aqueous sample has been studied, revealing a wealth of physicochemical events10. Reaction chemistry in the aqueous sample is found to be affected critically by the air gap between the surface plasma and the sample10,16. This suggests that the air gap may be used as a control to modulate aqueous chemistry, and in turn this modulates how the intended applications are achieved. Such process control is however challenged by the complexity of how short-lived reactive plasma species are transferred into the aqueous bulk of the downstream sample and how they may react with water molecules and long-lived plasma species to establish a dynamically evolving aqueous chemistry. For such control to be effective, it is also highly desirable to unravel main pathways that underpin aqueous chemistry. Little is known in literature of chemical pathways in the aqueous environment of the sample and indeed how they may be modulated by the air gap. The study presented here is motivated by the above knowledge gap.

Experiment and simulation

We recently reported a system-level model for the interaction between surface air discharge and deionized water10. Brief descriptions of the model are presented in the Methods section, and for more detail please refer to ref. 10. The model was validated by comparing its predictions with experimental measurement, including O3 density in the gas phase, the pH value and densities of H2O2, O3, nitrate (HNO3 and NO3) and nitrite (HNO2 and NO2) in the PAW. For the air gap width of Lg = 1 cm, the numerical and experimental results were found to be in good agreement10. In this paper, the system-level model is used to study how aqueous chemistry may be modulated by varying the air gap width from Lg = 0.1 cm to 2 cm. This air gap range covers most application scenarios of the surface air discharge, for which heterogeneous mass transfer changes dramatically because of some short-lived species, such as HO2, having diffusion distances between 0.1 cm and 1 cm in air gap10. The dramatic changes in heterogeneous mass transfer, and consequently in the liquid chemistry is quantified by the system-level model, and is then validated by the experiments.

As shown in Fig. 1, the surface discharge structure consists of a plane high-voltage electrode, a liquid-facing grounded mesh electrode, and a dielectric sheet sandwiched between the two electrodes. A sinusoidal high voltage of Vpp = 11 kV and f = 10 kHz is applied to the high-voltage electrode with an averaged dissipated power density of 0.05 W/cm2. The surface plasma is confined in the mesh elements of the grounded electrode. As shown in Fig. 1, each mesh element has a hexagon shape, and the plasma has a good mesh-to-mesh homogeneity. The temperature of the mesh electrode measured with a thermocouple was found to remain roughly 300 K after 100 s of plasma treatment. The deionized water in a petri dish is placed underneath the plasma. The water depth Lw was constant to be 1 cm (except for the concentration measurement by electron spin spectroscopy), while the air gap between the plasma and the water surface is varied from Lg = 0.1 to 2 cm. The air gap width is adjusted by the changing thickness of gaskets under the petri dish. The diameter of the circular petri dish (3.5 cm) is much smaller than the width of the surface plasma, allowing for one-dimensional treatment in numerical simulation. The surface air plasma and the deionized water are well sealed by an organic glass box, which has a fixed chamber volume of ~493 cm3.

Figure 1: Schematic diagram of the experimental setup (the plasma image was taken by a camera with an exposure time of 0.2 s).
Figure 1

Results and Discussion

Long-lived species in the air gap and liquid regions

From our system-level simulation, a large amount of O3, H2O2, N2O, N2O5, HNO2 and HNO3 can transfer from the gas phase into the deionized water. However, N2O does not react with other aqueous species and hence not discussed in this paper. By contrast, N2O5, HNO2 and HNO3 have strong reactions with the water molecules to form H+, NO2 and NO3. All the dissolved N2O5 transforms to H+ and NO3 over a characteristic time of less than a microsecond. On the other hand, the dissolved HNO2 and HNO3 reach equilibrium with their hydrolyzed species H+, NO2 and NO3. Therefore, aqueous reactive species induced by the surface air discharge are mainly H+, O3, H2O2, nitrite and nitrate, consistent with those reported in literature11,12. The calculated density distributions of long-lived ROS and RNS in the air gap and in the PAW are shown in Fig. 2, for a plasma treatment time of t = 100 s. As the air gap increases from 0.1 to 2 cm, the densities of O3 and H2O2 in the PAW increase first and then decrease, peaking at Lg ~ 0.5 cm. By contrast the densities of nitrite and nitrate keep decreasing. It is suggested that O3 is the predominant antibacterial species in water treated by surface air plasmas11,13. Our simulation result may explain why typical sterilization efficiency has a trend of first rising and then falling as a function of the air gap width for a similar surface air discharge source16.

Figure 2: Spatial distributions of long-lived species in the air gap (left column) and the PAW (right column) at t = 100 s, for the air gap width variable from 0.1 to 2 cm.
Figure 2

Ozone in the air gap is chemically stable, and its loss by dissolving in the water is limited due to the small Henry’s coefficient of ~0.23[ref. 17]. So if the treatment time is long enough, ozone accumulates in the air gap to achieve its equilibrium with the plasma and the water regions. This is the case for Lg ≤ 0.5 cm, in which the density profile is nearly flat across the whole air gap as shown in Fig. 2(a). The characteristic time for such equilibrium increases with the air gap width, and it becomes larger than 100 s when Lg > 0.5 cm, for which the density profiles drop in the vicinity of the plasma (see Fig. 2(a)). This is the reason why the O3 density in the air gap and consequently in the water decreases with increasing Lg when Lg > 0.5 cm. In the case of Lg < 0.5 cm, the increase of O3 density with the air gap width is due to the change of plasma chemistry. The O3 density in the air gap is around 1017 cm−3 for all the cases (see Fig. 2(a)), nearly 5% of its precursor O2, thus changing the background gas composition and consequently the plasma chemistry. This influence is more significant for shorter air gaps since the volume-averaged change is more pronounced.

The density of H2O2 in the air gap is lower than that of O3 by more than three orders of magnitude, but is higher in the PAW (see Fig. 2(b,d)), indicating that H2O2 has much larger dissolution rate than O3. This is also true for HNO2 and HNO3 since they also have large Henry’s coefficients as H2O2. So, the density profiles of gaseous H2O2, HNO2 and HNO3 drop dramatically near the water surface (Fig. 2(c,e,g)). It should be noted that the density of nitrite in the PAW is lower by comparison. This is because a large amount of nitrite is transformed to nitrate by reacting with O3 and NO3:

These are responsible for more than 90% of the loss of nitrite in the PAW. However, the penetration of the dissolved ozone lags behind nitrite, while NO3 is mainly exist in the topmost water layer of Lw < 100 μm (will discussed below), leading to a local density maximum of nitrite at the front part of the profiles (see Fig. 2(h)).

The pH value, representing the density of H+, and the volume-averaged densities of H2O2 and nitrate/nitrite in the PAW were measured for Lg = 0.5, 1 and 2 cm, as shown in Fig. 3. By comparison, the numerical and experimental results have similar variation trends. Quantitatively, the numerical results are slightly higher, 1.6 ~ 2.9 fold higher for H2O2, 1.2 ~ 7.2 fold higher for nitrite/nitrate, and for the pH value the maximum difference is 0.6. This confirms that our model is capable of capturing the main physicochemical processes.

Figure 3
Figure 3

Comparison between the numerical (black fold line) and experimental (red fold line) results for (a) the nitrite/nitrate densities, (b) the hydrogen peroxide densities and (c) the pH values.

Short-lived species in the air gap and liquid regions

Among short-lived ROS, O, OH and HO2 are widely thought to be crucial for various applications1. They are known to have short lifetimes due to their highly reactivity, so it is unclear whether they can play an important role when the target to be treated is immersed in water. The spatial distributions of such three short-lived ROS in the air gap and in the PAW are shown in Fig. 4.

Figure 4: Spatial distributions of short-lived ROS in the air gap (left column) and the water (right column) at t = 100 s, for the air gap width variable from 0.1 to 2 cm.
Figure 4

As shown in Fig. 4(a,b), the density of atomic oxygen at the gas-water interface remains about the same for Lg ≥ 0.5 cm. When Lg < 0.5 cm, however, it increases by more than one order of magnitude with the decreasing Lg. This indicates that a non-negligible amount of the atomic oxygen from the surface air plasma can diffuse across the air gap and dissolve into the water. According to the Einstein-Smulochowski equation, i.e. with D being the diffusion coefficient and τ the lifetime of a species, the effective diffusion distance in lifetime (EDL) of atomic oxygen in the air gap was estimated to be less than 0.02 cm10. It is consistent with this study since its density decreases by ~6 fold at 0.02 cm from the plasma (see Fig. 4(a)). However, the critical gap width within which the heterogeneous mass transfer has marked effect on the density of aqueous atomic oxygen is larger by more than one order of magnitude. In the cases of Lg ≤ 0.2 cm, the density profiles of atomic oxygen in the PAW have a sharp fall in the surface layer of water with a depth Lw < 1 μm (see Fig. 4(b)), indicating a similar short penetration depth of the dissolved atomic oxygen. In the deeper region of the PAW where the dissolved atomic oxygen cannot reach, the aqueous atomic oxygen has parabolic density profiles for all air gaps studied, which should be attributed to liquid chemistry.

The density of aqueous OH also increases significantly with decreasing Lg when Lg < 0.5 cm (see Fig. 4(d)), but it is not due to the mass transfer from gas phase to liquid phase. The direction of heterogeneous mass transfer of OH is reversed for all the air gap widths (see the chemical profile below). This is why the density profiles of OH in the air gap have a concave shape for Lg ≥ 0.5 cm (Fig. 4(c)). So, the evolution of density profiles of aqueous OH is mainly due to the change in liquid chemistry, largely by the reaction as follows:

The aqueous O3 density decreases sharply at Lw > 10 μm(see Fig. 2), leading to a two-step OH density shape with an interface at Lw = 10 ~ 30 μm.

The heterogeneous mass transfer of HO2 has a constant direction from the gas phase to the liquid phase, seen in the downward trends of the HO2 density around the gas-liquid interface (Fig. 4(e,f)). However, the plasma-generated HO2 is not capable of traversing the air gap of Lg > 1 cm, as reflected in the concave shape of the density profile for Lg = 2 cm (see Fig. 4(e)). The heterogeneous mass transfer flux of HO2 is supplied mainly by diffusion from the plasma region, dominant for Lg < 0.5 cm, and by the gaseous reaction of O3 + OH → HO2 + O2 which dominates for Lg ≥ 0.5 cm.

Density distributions of NO, NO3 and N2O5 in the air gap and the water at t = 100 s are plotted in Fig. 5. NO is a well known signaling molecule in biological system18, where NO3 is important for the generation of short-lived aqueous species (discussed below). N2O5 is very stable in the gas phase, but it becomes highly reactive in the PAW and hence treated as a short-lived RNS here.

Figure 5: Spatial distributions of short-lived RNS in the air gap (left column) and the water (right column) at t = 100 s, for the air gap width variable from 0.1 to 2 cm.
Figure 5

Similar to O and OH, the density of NO across the gas-water interface remains about the same for Lg ≥ 0.5 cm (see Fig. 5(a)). However, it increases sharply with decreasing Lg when Lg < 0.5 cm. The heterogeneous mass transfer of NO is also from the liquid phase to the gas phase as it is the case for OH, so the aqueous NO is totally generated by liquid chemistry. The main reactions are as follows:

NO3 is chemical active in both gas and liquid phases19,20. Yet, it has not been reported to play an important role in plasma applications. The gaseous NO3 density at the gas-liquid interface increases from 3.2 × 1010 to 8.3 × 1011 cm−3 for Lg = 0.5–2 cm (see Fig. 5(c)), but they are not diffused from the plasma even for the case of Lg = 0.1 cm due to its high reactivity in the air gap (see the sharp fall of NO3 at the left side of each density curve in Fig. 5(c)). Our numerical results suggest that heterogeneous mass transfer supplies more than 97% of the NO3 in the PAW, and in gas phase those NO3 are almost generated by the following reactions:

R6 is important for all the gap widths, but R7 and R8 are important only for Lg < 0.5 cm.

The densities of gaseous N2O5 decrease linearly towards the gas-water interface (see Fig. 5(e)), indicating that this species is mainly consumed by the dissolution as it is the case for HNO3 (see Fig. 2(e)). However, it strongly reacts with water molecules and hence its density decreases by more than two orders of magnitude when penetrating just 1 nm in the water (see Fig. 5(f)). Similar to the atomic oxygen, N2O5 exists in the deeper region of the PAW where the dissolved N2O5 cannot reach, mainly due to the liquid reaction as given by

The calculated results suggest that free radicals such as OH exist in the deionized water. This may appear counter intuitive because their lifetimes are very short while the plasma is atmost 2 cm away from the water. In order to prove the existence of free radicals in the PAW, OH and NO were detected using electron spin resonance (ESR). Spin trapping reagents were added into the water before the plasma treatment, reacting specifically with short-lived radicals to form long-lived spin adducts, which then accumulate to a sufficiently high level to be detected21. So, the ESR results represent the relative values of the volume-averaged densities of free radicals in the PAW. Since the densities of aqueous OH and NO are very low (Figs 4(d) and 5(b)), for this measurement the water depth is reduced to 0.1 cm, and the treatment time is increased to 5 min. The reduction of water depth leads to the increase of volume-averaged densities, because free radicals mainly exist in the surface layer of water (see Figs 4(d) and 5(b)). Also, the increase of the plasma treatment time allows the spin adducts to accumulate allowing for easy ESR measurement. In this case, the spin adduct of NO was detected for an air gap width of 0.3 cm and 1 cm, as shown in Fig. 6(a). Its density increases as the decrease of the air gap width, in accordance with the simulation results of NO (see Fig. 4(d)). This confirms that the surface air discharge can remotely induce the generation of short-lived species in the downstream water sample, thus supporting our hypothesis and also our numerical model. It should be noted that direct evidence for the existence of OH radicals in the water is still lacking. Fig. 6b shows clear disruption to the ESR spectrum of OH radicals, mostly probably by other free radicals, which results in a distorted spectrum of seven peaks instead of the classic four-peak ESR spectrum of OH radicals. This is also observed in an O3-rich solution similar to our case22.

Figure 6: ESR spectra of the PAW for the air gap widths of 0.3 cm and 1 cm (Water depth = 0.1 cm; Treatment time = 5 min).
Figure 6

Chemical pathways in the PAW

From Figs 2, 3, 4, 5, 6, it can be concluded that the aqueous reactive species are induced by both the heterogeneous mass transfer and the liquid chemistry and this dual influence is significantly influenced by the air gap width. Also, two distinct scenarios appear to exist, of which the density profiles are considerably different: Scenario 1 (S1 for abbreviation) for Lg < 0.5 cm and scenario 2 (S2) for Lg > 0.5 cm. The scenarios are also true for the chemical pathways in the PAW, as will be discussed below.

Taken the results and their discussions together, we summarize the network of numerous mutually coupled production mechanisms of aqueous plasma species in Fig. 7. Here, MT represents the heterogeneous mass transfer, and each percentage number indicates the volume-averaged relative contribution of a specific physicochemical process to the production/loss of a species at t = 100 s. The relative contribution of heterogeneous mass transfer is calculated by dividing the net density flux of a species at the gas-liquid interface by the water depth, i.e. flux/Lw. It should be noted that the production rate might be much different to the loss rate even when their relative contributions are the same. This is because the species themselves may not be in equilibrium. Taking HNO2 for example, the gas-liquid mass transfer contributes ~100% on its production, while it losses mainly by hydrolysis which contributes ~57% when Lg = 0.1 cm and ~98% when Lg = 2 cm. The contribution of MT on production of atomic oxygen is of particular interest, it is ~100% for Lg = 0.1 cm, but decreases to about −2.4% when Lg = 0.5 cm, i.e. the direction of MT reverses, and then increases to 0.3% when Lg = 2 cm as the direction of MT reverses again. The big change of MT contribution on the production of atomic oxygen results in a significant change in its liquid reaction. When Lg = 0.1 cm, the dissolved atomic oxygen is mainly consumed by reacting with the dissolved molecular oxygen as given by

Figure 7: Chemical profile of aqueous reactive species induced by the surface air plasmas for the air gap width from 0.1 to 2 cm.
Figure 7

However when the dissolution of atomic oxygen is limited (Lg ≥ 0.5 cm), this reaction becomes instead the main production pathway of atomic oxygen in the PAW (see Fig. 7).

The heterogeneous mass transfer is dominated by gaseous species with high densities, including HNO2, HNO3, H2O2, O3, N2O5 and N2O. N2O is chemically stable and hence not shown in Fig. 7. The hydrolysis of HNO2 and HNO3 is very strong, with a total reaction rate of ~1015 cm−3s−1, indicating that in a topmost water layer as thin as ~1 μm most of them transform to H+, NO2 and NO3. Also, N2O5 is an important precursor for H+ and NO3. It reacts strongly with water molecules and hence its penetration depth is less than 1 nm as shown in Fig. 5(f). So, a surface water layer exists with Lw < 1μm, within which chemical reactions are mainly induced by the dissolved HNO2, HNO3 and N2O5, much different to the bulk water region. By comparison, the heterogeneous mass transfer of other species, including NO3, HO2, NO, OH and N2O4, is much less significant, and for NO, OH, NO2 and N2O4 the mass transfer direction reverses (see Fig. 7).

Liquid chemistry is the direct mechanism for production of most reactive species in the PAW as shown in Fig. 7. This is why some short-lived species exist in the PAW regardless whether they can be supplied from the gas phase. The chemical pathways among the aqueous species are complex. In Fig. 8(a,b), we present a network of simplified chemical pathways for short-lived ROS and RNS. In order to distinguish between short-lived species and long-lived species, short-lived ones are shown in the dashed boxes. Some short-lived species are not included because their densities are very low, such as the atomic oxygen, or their biological effects are not known to be important. For short-lived ROS, there are two main reaction cycles among them: (1) OH → HO2 → HO3 → OH, and (2) is OH → HO2 → O2 → O3 → OH (see Fig. 8(a)). The first cycle has a reaction rate between 7.2 × 1013 and 3.4 × 1014 cm−3s−1, while the second is between 1.1 × 1013 and 2.7 × 1013 cm−3s−1, both decreasing with increasing gas gap width. It is interesting that O3 acts as an intermediate for both reaction cycles, in which it loses an O atom to become O2. So, the reaction cycles lead to no net production/reduction of the short-lived ROS as a whole but to a reduction of O3 with a high reaction rate.

Figure 8: Chemical pathways for the short-lived ROS and RNS in the PAW.
Figure 8

Considering the short-lived ROS as a whole (in the dashed box of Fig. 8(a)), there are two main production pathways: one is the dissolution of HO2 from the gas phase, and the other is the generation of HO2 by the reaction between the dissolved NO3 and H2O2 as follows:

The first one dominates in S1, while the second dominates in S2. HO2 is the original short-lived ROS in the PAW, and its production rate by both pathways is between 7.0 × 1011 and 2.1 × 1013 cm−3s−1, smaller than that of the internal reaction cycles of short-lived ROS by more than one order of magnitude. This is why they contribute less than 10% of the HO2 production (see Fig. 7).

For the loss of short-lived ROS as a whole, there are also two main pathways: one is the reaction between HO2 and HO3 to form H2O2, of which the rate decreases from 1.8 × 1012 to 1.2 × 1010 cm−3s−1 with increasing air gap. The other is the reduction of OH, O2 and HO2 by various RNS as shown in Fig. 8(b). The total reduction rate increases from 6.4 × 106 cm−3s−1 to 1.8 × 1011 cm−3s−1 with Lg, indicating that the first pathway (HO2 + HO3 → H2O2 + 1.5 O2) dominates in S1, while the other dominates in S2.

For the short-lived RNS in the PAW, NO2 is the precursor for the other species except for NO3. NO2 is mainly produced by the advanced oxidation of nitrite in S1 as given by:

Since the densities of nitrite (HNO2/NO2) and OH decrease with increasing air gap width (see Fig. 4(h) and 5(d)), the production rate of this pathway decreases accordingly. However, the dissolved NO3 has its density increases by more than one order of magnitude with the air gap width from 0.1 cm to 2 cm (see Fig. 5(d)), and hence a new pathway dominates the production of NO2 in S2, as given by

As shown in Fig. 7, R14 contributes ~90% of the production of NO2 when Lg = 2 cm.

It is interesting that short-lived ROS such as OH play as an essential intermediate for the transformation among the RNS (see Fig. 8(b)), which leads to the production of various kinds of short-lived RNS, such as ONOOH known to have strong biological effects23. In turn, it enables a main pathway for the reduction of ROS as discussed above.

Regarding the loss of short-lived RNS as a whole, there are two main pathways: one is the transformation to nitrite and to nitrate, mostly by:

The total reaction rate of R15 ~ R19 is from 2.6 × 1012 cm−3s−1 to 1.5 × 1011 cm−3s−1, decreasing as the increase of the air gap width, and R17 dominates in S2 since it has a rate more than half of the total.

The other pathway is the mass transfer of NO and NO2 from the liquid phase to the gas phase, which has a total flux diving the liquid depth (Flux/Lw) from 1.3 × 1011 cm−3s−1 to 1.1 × 1012 cm−3s−1 at the gas-liquid interface, increasing with the air gap width. As a result, the liquid chemistry dominates the reduction of short-lived RNS in S1, while the heterogeneous mass transfer dominates in S2. In biological solutions where the organic species have intensive reactions with the RNS, it is likely that short-lived RNS are consumed by liquid chemistry, and the heterogeneous mass transfer is compromised.

From the discussions above, the main pathways of heterogenous mass transfer and liquid chemistry are described and analyzed. Although the discharge power density is fixed at 0.05 W/cm2, the pathways should remain valid for a large range of input power since the density ratios of reactive species change little. However, it should be noted that the surface discharge may transfer to the ozone-poisoning mode when the discharge power density is larger than ~0.2 W/cm2 for our experimental setup, in which the ozone density may be reduced by several orders of magnitude24,25. In such a situation, the gas composition of reactive species is dramatically changed and consequently it affects the heterogenous mass transfer and liquid-phase chemistry11,25. The influence of the discharge power on the interaction between the surface air discharge and deionized water will be reported in future.

Conclusion

In conclusion, the interaction between a surface air discharge and deionized water has been studied with a system-level model and selected experimental measurements. Long-lived aqueous plasma species are H+, nitrate, nitrite, H2O2 and O3. In addition, various short-lived ROS and RNS are also induced in water, regardless whether these species are supplied from the gas phase. Our results show that the aqueous reactive species are controlled by heterogeneous mass transfer and/or liquid chemistry. Short-lived ROS and RNS in water are strongly coupled by liquid chemistry: NO3 is an important precursor for HO2 and successively for the other short-lived ROS. On the other hand, OH, O2 and HO2 play a crucial role for the production of various kinds of RNS. Moreover, several internal chemical chains exist among the short-lived ROS or RNS with high reaction rates. For example, the chain of OH → HO2 → HO3 → OH has a reaction rate between 7.2 × 1013 and 3.4 × 1014 cm−3s−1, but leads to no net production/reduction of the short-lived ROS as a whole. On the other hand, O3 is reduced since it acts as an intermediate of this chain. The heterogeneous mass transfer is strongly dependent on the air gap width, mainly because the diffusion distances of the short-lived species are typically between 0.1 and 1 cm. This further influences the liquid chemistry since the dissolved amount of the short-lived species changes in accordingly.

The influence of heterogeneous mass transfer and aqueous plasma chemistry appears to vary significantly in two distinct scenarios. In the first scenario with Lg < 0.5 cm, the concentrations of the long-lived aqueous ROS, i.e. H2O2 and O3, increase with Lg, and the short-lived ROS, such as O and HO2, can diffuse across the air gap and then dissolve into water. The dissolved HO2 is the main precursor for the other short-lived ROS, and as a whole the short-lived ROS is mainly reduced by the reaction between HO2 and HO3 to form H2O2. Regarding the aqueous short-lived RNS as a whole, it is mainly produced by the advanced oxidation of nitrite to form NO2 and successively the other species (except for NO3 which is from the heterogeneous mass transfer), and reduced mainly by transforming to nitrite and nitrate.

In the second scenario of Lg > 0.5 cm, on the other hand, the concentrations of aqueous H2O2 and O3 decrease with increasing Lg. HO2 is mainly produced the liquid reaction between NO3 and H2O2, and as a whole the short-lived ROS is reduced by reacting with RNS. Regarding the aqueous short-lived RNS as a whole, it is mainly produced by the heterogeneous mass transfer of NO3, and reduced mainly by the mass transfer of NO2 from the liquid phase to the gas phase.

Methods

The system-level model consists of three modules for the plasma generation region, the air gap region, and the deionized water region, respectively, and all three modules are calculated together simultaneously. A zero-dimensional module is used for the surface plasma in humid air, of which 53 species and 624 chemical reactions are incorporated. The densities of gaseous plasma species are obtained by calculating the production/loss rates of the corresponding chemical reactions, the particle fluxes between the plasma region and the air gap region, and the dissipated power density for accelerating the charged species which equals to 0.05 W/cm2. Only neutral species are considered in the air gap region, so the amount of the species and the corresponding reactions are reduced to 21 and 63, respectively. The diffusion and chemical reactions of the neutral species in the air gap, as well as their particle fluxes onto the plasma-gas interface and the gas-liquid interface, are calculated by the one-dimensional module of the air gap region. Henry’s law was used to describe the density relationship of species on both sides of the gas-liquid interface. Although only neutral species can dissolve into the water from the air gap region, some of them (mainly HNO2 and HNO3) strongly hydrolyze to form numerous ionic species (mainly H+, NO2 and NO3) in the water, and hence a drift-diffusion equation and Possion’s equation are used to describe the behavior of species in the PAW. The module for the deionized water is also one-dimensional, which incorporates 33 species and 109 chemical reactions, including 21 reversible reactions. All the species considered in the system-level model are listed in Table 1. It is noted that several assumptions in the model were made by carefully consideration. For example, the diffusion of charged species from the plasma into the air gap is neglected, because their diffusion distances in lifetimes are less than 100 μm10 and therefore such diffusion has little effect on the remote liquid region which is focused in this paper. The temperature is fixed to be 300 K for both the gas and liquid phases, which is very close to the measured values even for the plasma region.

Table 1: Species considered in the model.

For experiments used in this study, a pH probe (Sartorius, PB-10) was used, and the concentrations of aqueous H2O2 and nitrate/nitrite were measured by using a microplate reader (Thermo Scientific Varioskan® Flash Reader). The Amplex® Red reagent was added into the water right after the SMD treatment, and it reacted with H2O2 in a 1:1 stoichiometry to produce the red-fluorescent oxidation product, which was excited at λ = 550 nm and emitted at λ = 595 nm. Similarly, the Griess reagent was added into the water to detect the nitrate/nitrite, and the absorbance was measured at λ = 550 nm. For the measurement of OH and NO, the spin trapping reagents were added into the water before the plasma treatments, and their spin adducts were measured by an X-band ESR (BrukerBioSpin GmbH, EMX) immediately after the plasma treatments. A spin trapping reagent, 5,5-dimethyl-1-pyrrolineN-oxide (DMPO) was used to trap OH, and the spin adduct of DMPO·/OH has a special ESR spectra with a peak intensity ratio of 1:2:2:1. Also, the DETC-Fe2+ complex was used to trap NO, and the spin adduct, (DETC)2-Fe2+ −NO, has a special ESR spectra with a peak intensity ratio of 1:1:1. All the measurements above were repeated three times.

Additional Information

How to cite this article: Liu, D. X. et al. Aqueous reactive species induced by a surface air discharge: Heterogeneous mass transfer and liquid chemistry pathways. Sci. Rep. 6, 23737; doi: 10.1038/srep23737 (2016).

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Acknowledgements

This work was supported by the National Science Foundation of China (Grant No. 51307134 and 51521065), and the Fundamental Research Funds for the Central Universities, the State Key Laboratory of Electrical Insulation and Power Equipment (Grant No. EIPE14129), China, and by Old Dominion University, USA.

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Affiliations

  1. State Key Lab of Electrical Insulation and Power Equipment, Center for Plasma Biomedicine, Xi’an Jiaotong University, Shaanxi, P R China

    • D. X. Liu
    • , Z. C. Liu
    • , C. Chen
    • , A. J. Yang
    • , D. Li
    • , M. Z. Rong
    •  & M. G. Kong
  2. Frank Reidy Center for Bioelectrics, Old Dominion University, Norfolk, Virginia 23508, USA

    • H. L. Chen
    •  & M. G. Kong
  3. Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, Virginia 23529, USA

    • M. G. Kong

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Contributions

D.X.L. and M.G.K. initiated the idea, designed the research study and its direction, and wrote the manuscript. Z.C.L. and D.X.L. performed the simulation and experiments, and analyzed the data of this work. C.C. and A.J.Y. assisted the development of the numerical model, and D.L. helped measuring the aqueous species. M.Z.R. and H.L.C. contributed data analysis and interpretation.

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The authors declare no competing financial interests.

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Correspondence to Z. C. Liu or M. G. Kong.

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