Discoloration events in drinking water distribution systems (DWDSs) caused by iron particles have occurred worldwide, and boiling has been applied in drinking water treatment households globally, but the effects of boiling on iron particles are not clear. Here, the effect of boiling on different kinds of iron particles (including loose deposits from the DWDS and their main components FeOOH, Fe2O3, and Fe3O4) was studied. At 10 mg/L, the turbidity values before/after boiling of Fe2O3, Fe3O4, and FeOOH were 134.00/121.00, 25.07/21.22, and 120.40/114.20 NTU, respectively. All the particles had a lower degree of crystallinity after boiling. After boiling, the number of particles in loose deposits increased and the particle size decreased, while iron oxides were on the contrary. Among the three iron oxides, the existence of Fe3O4 and Fe2O3 had different effects on disinfection by-products (DBPs) formation. The activity of microorganisms was the highest under particle concentration of 0.1 mg/L than other concentrations for all the particles, but the total microbiological risks were still very low after boiling. Thus, the boiling treatment would increase the turbidity and risks of the particles. As the particle concentration under low concentration is hard to find, this risk is also hard to find.

  • The turbidity of water containing LD increased after boiling.

  • The turbidity of water containing three kinds of iron oxides decreased after boiling.

  • The Fe2O3 increased THMs, whereas the Fe3O4 increased HAAs after boiling.

  • The particles did not have an obvious influence on ATP after boiling.

Graphical Abstract

Graphical Abstract
Graphical Abstract

In order to inactivate harmful microorganisms and eradicate waterborne diseases, boiling has been applied in drinking water treatment households globally. Boiling is a common recommendation of health promoters in developing countries to improve the quality of drinking water and to decrease the incidence of waterborne diseases (McLennan 2000). It is low in cost and effective in inactivating harmful microorganisms (Zhang 2013). Moreover, it can eliminate the pungent taste and odor of tap water caused by chlorine residuals.

Various pipe materials, such as iron, galvanized steel, concrete, polyvinyl chloride, and copper, have been extensively used in drinking water distribution systems (DWDSs). Unlined iron pipes are very prone to electrochemical corrosion and their internal surfaces can become severely corroded over time. Typical iron corrosion products formed on aged pipe surfaces can be described using three different layers: (a) a macroporous layer of black rust (magnetite, Fe3O4) in contact with the metal, (b) a microporous film of a mixture of Fe2+ and Fe3+ species that covers the macrolayer, and (c) a top layer of red rust (mainly goethite, α-FeOOH and hematite, α-Fe2O3). The exact composition and structure of iron corrosion scales vary significantly under different water qualities as well as flow properties (Butler & Ison 1968; Tuovinen et al. 1980).

Treated water from a treatment plant is distributed to households via a public DWDS. Iron oxidation inevitably occurs in DWDSs and can cause water quality problems such as increased turbidity and discoloration of tap water (Zhuang et al. 2021a). Furthermore, organic matter in loose deposits (LDs) will worsen the water quality (Qi et al. 2022). In the old cast iron water pipeline, the inner wall of the pipeline may be corroded and generate iron compounds, and other substances carrying toxic or harmful matter, and then the particles in the pipeline will enter the tap water through the impact of water flow. Particles in discolored water could be exposed to human beings through drinking water or other ways of using water. Moreover, the iron oxides in LDs would also cause toxicity effects which could be further enhanced by organics in water (Qin et al. 2021). The particles with smaller sizes may favor their entry into the cells and eventually lead to stronger cytotoxic and genotoxic effects than larger particles (Elihn et al. 2012; Liu et al. 2014; Freitas et al. 2020; Zhuang et al. 2021b).

When the concentration of LDs is too high, the turbidity and chromaticity of water will increase accordingly and be easily detected by people. However, in most cases, LDs are not easily detected in water, and it is difficult to remove them with household water treatment methods such as boiling. A boiling fluid may have violent flows and bubble disturbances, and the resuspension of deposited particles to the boiling fluid is a highly probable event that can occur during a boiling process (Lin et al. 2019). Humans are unavoidably exposed to iron particles via water ingestion (Boxall & Saul 2005). Some studies have shown that adding lemon to boiling water can reduce the production of disinfection by-products (Liu et al. 2021). Under the complex environment of DWDSs, LDs may inevitably undergo structural transformation due to the wide variety of coexisting substances, consequently resulting in a change in properties such as toxicity (Zhuang et al. 2019), but the changes due to the boiling effect have not been reported. Iron-dominated particles may undergo structural changes after boiling, especially LDs which may contain a variety of organic and inorganic components including (micro)pollutants.

Moreover, in previous reports, boiling of tap water has been widely found to reduce trihalomethanes (THMs) (Batterman et al. 2000; Krasner & Wright 2005), but the effect of boiling of haloacetic acids (HAAs) was not fully clear. The increase of dichloroacetic acid (DCAA) and the decrease of trichloroacetic acid (TCAA) have been found after boiling (Levesque et al. 2006). Moreover, boiling has been found to induce a 59% increase in DCAA without the reduction of TCAA, resulting in an overall increase in HAAs (Krasner & Wright 2005). The reason for this may be that THMs are volatile compounds while HAAs are not volatile compounds. Thus, with the existence of particles, the effect of boiling on DBPs and microorganisms may change causing new risks.

Here, the effects of boiling on iron particles, including LDs from the DWDS and their main components FeOOH, Fe2O3, and Fe3O4 were investigated. The pH and turbidity of water before and after boiling were compared. Particle structure, including particle size, particle number, and crystal pattern were analyzed to reflect the effect of boiling on particles. The effect of boiling on DBPs and microorganisms under the existence of different particles was also studied to further evaluate the risks induced by particles during boiling.

Materials

All chemicals, including Fe2O3, Fe3O4, and FeOOH, were purchased from Shanghai Macklin Biochemical Co., Ltd in analytical purity and used in the experiments directly without any further purification. The boiler is one of the most common kettle models found in Chinese homes, which has a 304 stainless steel kettle with a heat source at the bottom and a temperature sensor that automatically shuts down after the water boils.

Experimental design

LD and tap water samples were collected in DWDSs of old unlined cast iron pipes with a pipe age of 20 years in a city in northern China, and a water main pipe of at least 150 m was selected. At the end of the selected main pipe, a hydrant was present for the sampling of LDs.

All particles are added into tap water and mixed into 1-L solutions of different concentration gradients. Particle concentrations were set as 500, 200, 100, 10, 1, and 0.1 mg/L. The solutions were stirred for 10 min to form uniform dispersion. The boiled samples were named LD-B, Fe2O3-B, Fe3O4-B, and FeOOH-B. All the boiled samples were boiled to 100 °C and then cooled to room temperature. The unboiled samples were named LD-N, Fe2O3-N, Fe3O4-N, and FeOOH-N. The unboiled and boiled tap water without particles were named Ctrl-N and Ctrl-B, respectively. Water samples were treated with different concentrations of different particles. Water quality analysis and characterization of cast iron coupons are then carried out. For the characterization of solid particles before and after boiling, the boiled samples were centrifuged to obtain the solid particles.

Analysis methods

The turbidity and pH values of the water samples were measured using a turbidimeter (Hach, 2100Q, USA) and pH meter (Mettler-Toledo, FE20K, Switzerland), respectively. Particle size was measured by a Malvern laser particle size analyzer (Malvern 3000, England). The crystallography of the samples was analyzed using X-ray diffraction (XRD) by a Bragg-Brentano diffractometer (Rigaku, D/Max-2200, Japan) with a Cu target (40 kV, 40 mA). The number of particles was measured by the benchtop laser particle analyzer (GREAN, GR-1500A, China). The dissolved organic matter was measured by an excitation-emission matrix (EEM) fluorescence spectrophotometer (Hitachi, F-7000, Japan). The final values were taken as the average of the three replicates.

DBPs: For the determination of THMs and HAAs, water samples were extracted with methyl tert butyl ether (MTBE) and analyzed by a gas chromatograph equipped with an electronic capture detector (GC/ECD, Agilent 7890B, USA) and an HP-5-fused silica capillary column (30 m × 0.25 mm, 0.25 μm, Agilent, USA). The water samples passed through a 0.45-μm membrane were prepared for testing natural organic matter (NOM) and DBPs. All water samples were prepared in at least three duplicates.

EPS (extracellular polymer): 4 L of water was filtered through a 0.2-μm polycarbonate membrane filter (AISIMO, China). Polycarbonate membranes with biofilms were put into 50-mL centrifuge tubes containing 40 mL of sterile phosphate buffered solution (PBS, pH = 7). The tubes were sonicated at 20 KHz for 30 s, followed by heating in a water bath at 70 °C for 1 h, and then centrifuged at 8,000 rpm for 20 min at 4 °C. The supernatant in the tubes was filtered through a 0.45-μm polycarbonate filter to collect EPS. The proteins in EPS were determined with the Lowry procedure using bovine serum albumin (BSA) as the standard. The polysaccharide content was determined by the phenol-sulfuric acid method with glucose as the standard.

ATP (adenosine triphosphate): The microbial activity was determined by ATP using Promega Biosystems (Sunnyvale, CA 94085, USA).

Particles

Turbidity values of the iron particles are shown in Figure 1. The turbidity values of the water samples containing LDs increased after boiling, while the three kinds of iron oxides decreased after boiling. Fe2O3 and FeOOH are shown to have a higher ability to cause turbidity than Fe3O4. At 10 mg/L, the turbidity values before/after boiling of Fe2O3, Fe3O4, and FeOOH were 134.0/121.00, 25.07/21.22, and 120.40/114.20 NTU, respectively. The turbidity values of the water samples containing LDs before and after boiling were 17.34 and 17.76 NTU. When discoloration occurs, the main substances causing turbidity may be Fe2O3 and FeOOH. Boiling water in the presence of LDs was shown to increase the turbidity. There is a good linear correlation between turbidity and LD concentrations ( = 0.9882, = 0.9917). At low concentrations, the turbidity changes in each group were not obvious, which is in accordance with the previous literature that has shown the boiled water samples not to be significantly more or less turbid than household stored water samples (Brown & Sobsey 2012). After boiling, the pH of all the samples increased slightly (Supplementary material, Figure S1), indicating that the particles were relatively stable and had no effect on the pH of the solution. After boiling, the dissolved oxygen (DO) and dissolved carbon dioxide and carbonic acid in the water decreased, resulting in a slight increase in the pH. The pH of the water containing Fe2O3 decreased under higher particle concentration, while the water containing FeOOH showed a higher pH under higher particle concentration. The incipient product of Fe(II) oxidation is expected to be short-range-ordered Fe(III)-oxides such as Fe2O3. The associated displacement of protons would decrease pH. The adsorption–desorption of Fe(II) could buffer the aqueous phase response to Fe(III)-oxide dissolution–precipitation, because such hydrated solids typically exhibit low interfacial energies of nucleation. When oxidation occurs under low DO conditions and in the presence of organic acids, aqueous organic–Fe(III) complexes can also form (Thompson et al. 2006).
Figure 1

Turbidity of the particle solutions in a series of concentrations: (a) LD, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Particle concentrations were set as 500, 200, 100, 10, 1, 0.1 mg/L, sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Figure 1

Turbidity of the particle solutions in a series of concentrations: (a) LD, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Particle concentrations were set as 500, 200, 100, 10, 1, 0.1 mg/L, sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Close modal
Size influences many properties of particles (e.g. stability and reactivity) (Freitas et al. 2020). The average size of the particles in the DWDS was found to be repeatable and independent with DWDS conditions (10 μm) (Boxall & Saul 2005). After boiling, D10 and D50 in each group increased slightly (Figure 2). The D90 of LDs increased and three iron oxides decreased. For the LDs, combined with the results of turbidity and particle number, as well as the volume density curve analysis, it can be concluded that after boiling, some particles with larger particle size (>23.30 μm) will break and disintegrate into smaller particles. Meanwhile, smaller particles (<1.11 μm) combine with each other to form larger particles. Before boiling, the D50 and D10 of the LDs are 4.22 and 1.11 μm, respectively, but after boiling, the D50 and D10 increased to 5.03 and 1.56 μm, respectively. After boiling, the D90 of LDs decreases, and the D90 of iron oxide increases. The average size of LDs decreased to 22.12 μm from 22.45 μm after boiling. In addition, in the volume density curve, the particle size of LDs itself has a peak value of about 30 μm except for about 10 μm, while the peak value of iron oxide is only about 5 μm. This multi-peak phenomenon indicates that the particle size of the material is not uniform, which mainly affects the value of D50. After boiling, the D50 of Fe2O3 changes most dramatically, indicating that the particle size of Fe2O3 increased most obviously. The average size of Fe2O3 increased to 12.50 μm from 8.31 μm after boiling. The average size of the Fe3O4 increased to 14.14 μm from 13.65 μm after boiling. Also, the average size of FeOOH increased to 11.03 μm from 10.73 μm after boiling. Among the four kinds of particles, the average particle size of Fe2O3 changes by 4 μm, which is the most significant. A boiling fluid may have violent flows and bubble disturbances, and the resuspension of deposited nanoparticles to the boiling fluid is a highly possible event that can occur during a boiling process (Lin et al. 2019).
Figure 2

Particle size and its distribution: (a) and (b) LD, (c) and (d) Fe2O3, (e) and (f) Fe3O4, (g) and (h) FeOOH. (Particle concentrations were set as 100 mg/L, sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C; D10 represents cumulative particle size distribution of a sample reaching 10%, D50 represents cumulative particle size distribution of a sample reaching 50%, D90 represents cumulative particle size distribution of a sample reaching 90%.)

Figure 2

Particle size and its distribution: (a) and (b) LD, (c) and (d) Fe2O3, (e) and (f) Fe3O4, (g) and (h) FeOOH. (Particle concentrations were set as 100 mg/L, sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C; D10 represents cumulative particle size distribution of a sample reaching 10%, D50 represents cumulative particle size distribution of a sample reaching 50%, D90 represents cumulative particle size distribution of a sample reaching 90%.)

Close modal
Combined with the results of particle size, LDs will have the smallest particle value among the four kinds of particles under the same concentration. Therefore, the particle number of these particles under different concentrations was studied as shown in Figure 3. The maximum concentration for LDs was set as 10 mg/L, while for Fe2O3 it was 5 mg/L, and both Fe3O4 and FeOOH were 2 mg/L. According to the results of particle number, there is a positive relationship between the particle number and concentration. At the same concentration, the number of particles of LDs increased significantly after boiling, while the number of particles of the other three particles decreased after boiling. LDs increase to about 5,000/mL from 4,000/mL, while Fe2O3 are 15,000/mL and 13,000/mL, Fe3O4 are 25,000/mL and 21,000/mL, respectively, before and after boiling, and FeOOH is 28,000/mL and 23,000/mL. The largest change in the particle number is FeOOH. At 2 mg/L, it decreases by 5,000/mL, followed by Fe3O4, which decreases by 3,000/mL, and finally Fe2O3 and LD. Fe2O3 decreases by 2,000/mL, and LD increases by 1,000/mL. Combined with the analysis results of particle size, it can be found that after boiling, the number of particles in LDs increased and the particle size decreased, while iron oxide, on the contrary, decreased in particle number and the particle size increased. Thus, the LDs tend to be broken but the iron oxides tend to aggregate through boiling. The difference of particle behavior may be because that the LDs containing organics (Zhao et al. 2018).
Figure 3

Particle number at different particle concentrations: (a) LD, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Figure 3

Particle number at different particle concentrations: (a) LD, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Close modal

In addition, there is a good linear correlation between particle concentration and turbidity (Supplementary material, Figure S2, R2 > 0.95). As mentioned above, the highest turbidity producing capacity is observed in Fe2O3 and FeOOH, followed by Fe3O4 and LDs, because at the same concentration, the number of particles in Fe2O3 and FeOOH is higher. At 2 mg/L, the number of the particles in LDs before boiling is about 4,000/mL. After boiling, it increases to about 5,000/mL, while Fe2O3 are 15,000 and 13,000/mL before and after boiling. Thus, at the same concentration, the samples containing particles with smaller size had larger particle number, resulting in higher the turbidity. Therefore, it can be explained that the turbidity of the LDs group will increase after boiling, while the turbidity of iron oxide will decrease after boiling. To further confirm the particle structure change before and after boiling, XRD and Fourier transform infrared spectroscopy (FTIR) of the samples before and after boiling are shown in Supplementary material, Figure S3a and S3b. In XRD, the peak position did not change after boiling for all four particles, indicating boiling did not change the crystal pattern of the particle. However, the crystals were shown to be weaker after boiling, which indicates a lower degree of crystallinity in the iron oxides after boiling. Under sustained oxidizing conditions, Ostwald ripening is expected to spawn a time-dependent increase in the degree of crystal ordering of minerals that coincides with their diminished aqueous solubility (Steefel & Van Cappellen 1990). The effect of boiling would eliminate the DO in water and reduce the oxidizing conditions (Steefel & Van Cappellen 1990). LDs are mostly in the form of complex primary minerals (Pan et al. 2022). We found that maghemite (γ-Fe2O3), goethite (α-FeOOH), lepidocrocite (γ-FeOOH), and hematite (α-Fe2O3) were the predominant crystalline compounds of LDs without boiling. The maghemite (γ-Fe2O3), goethite (α-FeOOH), lepidocrocite (γ-FeOOH), and calcite (CaCO3) were the predominant crystalline compounds of LDs after boiling. The increase in CaCO3 may be caused by the crystallization of Ca2+ from water during boiling. Two intensive and broad bands at 3,400 and 3,100 cm−1 are visible, which can be assigned to the envelope of the hydrogen bonded surface –OH groups and the presence of –OH stretching. Two bands around 890 and 790 cm−1 can be assigned to Fe–O–H bending vibrations. The IR band around 630 cm−1 is influenced by the shape of the α-FeOOH particles, Fe3O4 had two characteristic IR bands at 565 and 360 cm−1, and α-Fe2O3 showed IR bands at 575, 485, 385, and 360 cm−1 (Krehula & Musić 2006). The functional groups of the iron crystals became weaker after boiling, which was in accordance with crystallization decrease in the XRD results.

Organics

Changes in representative DBPs, including THMs (Figure 4), HAAs (Figure 5), and HANs (Figure 6) in water containing different particles before and after boiling were studied. Results showed that in the samples, THMs were mainly comprised of trichloromethane (TCM) and bromodichloromethane (BDCM), HAAs were mainly comprised of DCAA and TCAA. Here, the LDs were shown to promote the formation of THMs (especially TCM and BDCM) during boiling from particle concentrations of 0.1–200 mg/L. In the water after boiling, the existence of LD and Fe2O3 increased the THMs, while the THMs in the water containing Fe3O4 and FeOOH did not have an obvious change. Thus, the Fe2O3 may favor the formation of THMs under low particle concentration through the catalytic effect of iron oxides on DBPs formation through oxidation of a metal to a higher valence state (Liu et al. 2013). Chen et al. (2021) found that though the accumulation of organic pollutants by preformed MnOx was negligible, the particle formation process of Mn(II) into Mn oxides particles would accumulate organic pollutants. The accumulation of precursor of THMs by the iron oxides may change the electron densities of these active sites and reduce the reactivity of the molecule with regard to chlorination (Voelker & Sulzberger 1996), resulting in a decrease of THMs. Thus, when the particle concentration was high, the precursor may be accumulated by the iron oxides and eliminated faster during boiling.
Figure 4

THM concentration in water containing different particles after boiling: (a) LD, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Figure 4

THM concentration in water containing different particles after boiling: (a) LD, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Close modal
Figure 5

HAA concentration in water containing different particles after boiling: (a) LDs, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and boiling temperature was 100 °C.)

Figure 5

HAA concentration in water containing different particles after boiling: (a) LDs, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and boiling temperature was 100 °C.)

Close modal
Figure 6

Dissolved organic matter compositions determined by EEM fluorescence spectroscopy: (a) LDs, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Figure 6

Dissolved organic matter compositions determined by EEM fluorescence spectroscopy: (a) LDs, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Close modal

The HAAs in water containing 0.1 mg/L LDs were shown to be a little higher than the control. The HAAs in water containing LDs were shown to decrease with the increase of particle concentration when LDs were higher than 1 mg/L. The existence of Fe2O3 was shown to decrease the HAAs, while the influence of FeOOH on HAAs was not small, in relative terms. Under high concentrations of Fe3O4, the HAAs in water were higher than in the control group, indicating that the Fe3O4 in LDs would increase the risk of HAAs during boiling. The changes of HAAs were shown to be dominated by the changes of DCAAs. Boiling has been found to accumulate a few polar DBPs in the tap water, and the increase in dihaloacetic acids was because they are the common final decomposition products of certain intermediate DBPs (Pan et al. 2014).

Supplementary material, Figure S4–S8 shows the EEM spectra of the samples before and after boiling with and without particles. EEM peaks have been associated with humic-like, tyrosine-like, tryptophan-like, or phenol-like organic compounds. In general, peaks at shorter excitation wavelengths (<250 nm) and shorter emission wavelengths (<350 nm) are related to simple aromatic proteins such as tyrosine (regions I and II). Peaks at intermediate excitation wavelengths (250–280 nm) and shorter emission wavelengths (<380 nm) are related to soluble microbial by-product-like material (region IV). Peaks at longer excitation wavelengths (>280 nm) and longer emission wavelengths (>380 nm) are related to humic acid-like organics (region V) (Wang et al. 2009). Dissolved organic matter compositions determined by EEM fluorescence spectroscopy are shown in Figure 7. All the samples mainly comprised fulvic acid-like substances, with relatively fewer protein-like substances, soluble microbial product-like, and humic acid-like compounds. Dissolved organic matters of all the samples were shown to increase after boiling. Under the existence of particles, the dissolved organic matter further increased after boiling, especially tyrosine-like proteins (I) and tryptophan-like proteins (II). The organics in the water containing LDs increased the most among all the samples. This may be because the LDs may break into the loose structure after boiling, when the deposition layer is too thin and too compact to form a porous structure, meaning it would be difficult to resuspend the nanoparticles in the layer to the bulk liquid, resulting in the release of NOM to exacerbate water quality (Lin et al. 2019).
Figure 7

ATP concentration in (a) LDs, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Figure 7

ATP concentration in (a) LDs, (b) Fe2O3, (c) Fe3O4, and (d) FeOOH. (Sample-N represents the unboiled sample, sample-B represents the boiled sample, and the boiling temperature was 100 °C.)

Close modal

Microorganisms

Figure 7 shows the impact of particle concentration on ATP. It is interesting to note that ATP tended to increase first and then decrease with the increase of particle concentration, while the ATP was the highest under particle concentration 0.1 mg/L for all the particles. It is also interesting to note that in a realistic situation, there is a great possibility for LDs to exist in drinking water at 0.1 mg/L level, thus the microbiological risks under low particle concentrations should not be neglected. For all the four kinds of particles, the water containing particles had higher ATP than that without particles, indicating more active biomass was present in the existence of particles. The increase in ATP under low particle concentration may be because the surface of particles could provide more attachment sites for microorganisms to adhere to, which would protect the microorganisms. However, under high particle concentration, the heteroaggregates reached saturation at relatively high particle concentration, and the binding among bacteria increased (Zhao et al. 2022); more importantly, iron particles are able to possess toxicity including direct generation of reactive oxygen species (ROS) from the surface of the particles, production of ROS via leaching of iron molecules by enzymatic degradation, altering mitochondrial and other organelle functions, and induction of cell signaling pathways together with their consequent activation of inflammatory cells, which results in the generation of ROS and reactive nitrogen species (Mahmoudi et al. 2012). Thus, with the increase of particles, the toxicity induced by particles would also increase, resulting in the decrease of ATP under high particle concentration. The ATP in the water containing FeOOH was the lowest, indicating higher toxicity risks induced by FeOOH. Therefore, the existence of particles increased the microbiological risks during boiling, especially under low concentrations, but the total microbiological risks were still very low after boiling. The EPS are usually expected to have heavy metal binding capability and potential for applications in biodetoxification due to their complex mixture of multiple biomolecules (proteins, polysaccharides, humic-like substances, uronic acid, nucleic acid, lipids, and glycoproteins), among which proteins and polysaccharides in the EPS are primarily responsible for the resistance to heavy metals (Kang et al. 2017). Once EPS are present, the reactive groups within EPS initiate their functions for biosorption. It was reported that dextran, mannan, protein, lipid, and chitin of EPS play critical roles in the adsorption of heavy metals and possess both adsorptive and adhesive capability (Guibaud et al. 2012). The polysaccharide and protein increased with the increase of residual chlorine in the iron pipe, which would result in a stronger adsorptive and adhesive effect of iron particles on EPS. The ratio of polysaccharide to protein in EPS determines the surface charge of cells, and the cell surface charge was positively correlated with the ratio of polysaccharide to protein in EPS (More et al. 2014). The polysaccharide in the control sample decreased slightly after boiling, however, the existence of particles obviously decreased the polysaccharide content after boiling (Supplementary material, Figure S9a). The water containing LDs had higher protein content after boiling (Supplementary material, Figure S9b). Polysaccharides could promote the adhesion strength of EPS, while the adhesion ability of protein is relatively small (Harimawan & Ting 2016). Moreover, the LDs would obviously reduce the polysaccharide/protein ratio (Supplementary material, Figure S9c), resulting in lower adhesion strength between microorganisms and LDs. Among the three kinds of iron oxides, their effects on protein are similar, but Fe3O4 did not lead to an obvious reduction of polysaccharide, while the water containing Fe3O4 had the highest polysaccharide/protein ratio.

Principal component analysis of water quality indicators

Some of the water quality indicators mentioned above (including particle concentration, ATP, pH, HAAs concentration, and THMs concentration) were measured for each water sample and compared using principal component analysis (PCA) as shown in Supplementary material, Tables S1–S4. In the sample containing LDs after boiling, ATP had a strong positive correlation with HAAs and a high positive correlation with THMs, which indicated that in the water containing LDs, the coordination of microorganisms and DBPs may further enhance water deterioration. Thus, the water containing Fe3O4, water deterioration risks would also exist due to the coordination of microorganism and THMs. Previous reports had found a decreasing trend of dissolved organic carbon (DOC), THMs formation potential, and HAAs formation potential at high temperature incubations irrespective of microbial concentrates, which indicated that a higher biomass in water may contribute to higher consumption of DOC and consequently lower DBP formation potentials, especially at high incubation temperatures (Zeng et al. 2021). Thus, when under the particle concentration of 0.1 mg/L, the active biomass would further promote the formation of DBPs, resulting in higher water deterioration risks under low particle concentration. Furthermore, as the particle concentration under low concentration is hard to find, this risk is also hard to find.

Iron particles widely exist in drinking water which is the key factor of discoloration, while boiling has been applied in drinking water treatment households globally, but the effects of boiling on iron particles have not yet been fully recognized. Here, the turbidity of water containing LDs increased after boiling, and the samples containing three other kinds of iron oxides decreased. At 10 mg/L, the turbidity values before/after boiling of Fe2O3, Fe3O4, and FeOOH are 134.00/121.00, 25.07/21.22, and 120.40/114.20 NTU, respectively. After boiling, the number of particles in LDs increased and the particle size decreased, while iron oxides decreased in particle number and the particle size increased, which indicated that the LDs tended to be broken but the iron oxides seemed to aggregate through boiling. The difference in particle behavior may be due to the LDs containing organics. The crystals were shown to be weaker after boiling, which indicated a lower degree of crystallinity in the iron oxides after boiling. The Fe2O3 increased THMs while the Fe3O4 increased HAAs after boiling. The ATP was the highest under particle concentration 0.1 mg/L for all the particles, indicating that the existence of particles increased the microbiological risks during boiling, especially under low concentrations. The ATP in the water containing FeOOH was the lowest, but the total microbiological risks were not obvious after boiling. Thus, the iron oxides in LDs may lead to water deterioration during boiling.

This research was supported by the National Natural Science Foundation of China (No. 51978652).

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Batterman
S.
,
Huang
A.-T.
,
Wang
S.
&
Zhang
L.
2000
Reduction of ingestion exposure to trihalomethanes due to volatilization
.
Environmental Science & Technology
34
,
4418
4424
.
Boxall
J. B.
&
Saul
A. J.
2005
Modeling discoloration in potable water distribution systems
.
Journal of Environmental Engineering
131
,
716
725
.
Butler
G.
&
Ison
H.
1968
Corrosion and its prevention in waters
.
Soviet Atomic Energy
24 (2), 261–262.
Elihn
K.
,
Cronholm
P.
,
Karlsson
H. L.
,
Hedberg
J.
,
Lowe
T. A.
,
Winnberg
L.
,
Wallinder
I. O.
&
Möller
L.
2012
Intracellular Uptake and Toxicity of Ag- and CuO-Nanoparticles – The Importance of A Trojan Horse Type Mechanism
.
Freitas
F. M. C.
,
Cerqueira
M. A.
,
Goncalves
C.
,
Azinheiro
S.
,
Garrido-Maestu
A.
,
Vicente
A. A.
,
Pastrana
L. M.
,
Teixeira
J. A.
&
Michelin
M.
2020
Green synthesis of lignin nano- and micro-particles: physicochemical characterization, bioactive properties and cytotoxicity assessment
.
International Journal of Biological Macromolecules
163
,
1798
1809
.
Guibaud
G.
,
Bhatia
D.
,
d'Abzac
P.
,
Bourven
I.
,
Bordas
F.
,
van Hullebusch
E. D.
&
Lens
P. N. L.
2012
Cd(II) and Pb(II) sorption by extracellular polymeric substances (EPS) extracted from anaerobic granular biofilms: evidence of a pH sorption-edge
.
Journal of the Taiwan Institute of Chemical Engineers
43
,
444
449
.
Krasner
S. W.
&
Wright
J. M.
2005
The effect of boiling water on disinfection by-product exposure
.
Water Research
39
,
855
864
.
Levesque
S.
,
Rodriguez
M. J.
,
Serodes
J.
,
Beaulieu
C.
&
Proulx
F.
2006
Effects of indoor drinking water handling on trihalomethanes and haloacetic acids
.
Water Research
40
,
2921
2930
.
Lin
L.
,
Chang
Z.
&
Ding
G.
2019
Resuspension of deposited nanoparticles during pool boiling
.
International Journal of Heat and Mass Transfer
130
,
230
239
.
Liu
G.
,
Bakker
G. L.
,
Li
S.
,
Vreeburg
J.
,
Verberk
J.
,
Medema
G. J.
,
Liu
W. T.
&
Dijk
J.
2014
Pyrosequencing reveals bacterial communities in unchlorinated drinking water distribution system: an integral study of bulk water, suspended solids
, LD
s, and pipe wall biofilm
.
Environmental Science & Technology
48
,
5467
5476
.
Mahmoudi
M.
,
Hofmann
H.
,
Rothen-Rutishauser
B.
&
Petri-Fink
A.
2012
Assessing the In vitro and in vivo toxicity of superparamagnetic iron oxide nanoparticles
.
Chemical Reviews
112
,
2323
2338
.
McLennan
J. D.
2000
To boil or not: drinking water for children in a periurban barrio
.
Social Science & Medicine
51
,
1211
1220
.
More
T. T.
,
Yadav
J. S. S.
,
Yan
S.
,
Tyagi
R. D.
&
Surampalli
R. Y.
2014
Extracellular polymeric substances of bacteria and their potential environmental applications
.
Journal of Environmental Management
144
,
1
25
.
Pan
Y.
,
Zhang
X.
,
Wagner
E. D.
,
Osiol
J.
&
Plewa
M. J.
2014
Boiling of simulated tap water: effect on polar brominated disinfection byproducts, halogen speciation, and cytotoxicity
.
Environmental Science & Technology
48
,
149
156
.
Pan
L.
,
Li
G.
,
Li
J.
,
Gao
J.
,
Liu
Q.
&
Shi
B.
2022
Heavy metal enrichment in drinking water pipe scales and speciation change with water parameters
.
Science of the Total Environment
806
,
150549
.
Qin
X.
,
Zhuang
Y.
,
Shi
B.
,
Li
Y.
&
Shi
Y.
2021
Effect of residual chlorine on iron particle formation considering drinking water conditions
.
Journal of Environmental Chemical Engineering
9
, 106377.
Thompson
A.
,
Chadwick
O. A.
,
Rancourt
D. G.
&
Chorover
J.
2006
Iron-oxide crystallinity increases during soil redox oscillations
.
Geochimica et Cosmochimica Acta
70
,
1710
1727
.
Tuovinen
O. H.
,
Button
K. S.
,
Vuorinen
A.
,
Carlson
L.
&
Yut
L. A.
1980
Bacterial, chemical, and mineralogical characteristics of tubercles in distribution pipelines
.
Journal – American Water Works Association
72
,
626
635
.
Voelker
B. M.
&
Sulzberger
B.
1996
Effects of fulvic acid on Fe(II) oxidation by hydrogen peroxide
.
Environmental Science and Technology
30
,
1106
1114
.
Zeng
J.-S.
,
Tung
H.-H.
&
Wang
G.-S.
2021
Effects of temperature and microorganism densities on disinfection by-product formation
.
Science of the Total Environment
794
,
148627
.
Zhang
L. A.
Removal of chlorine residual in Tap water by boiling or adding ascorbic acid
. Journal of Engineering Research and Applications 3, 1647–1651.
Zhao
J.
,
Giammar
D. E.
,
Pasteris
J. D.
,
Dai
C.
,
Bae
Y.
&
Hu
Y.
2018
Formation and aggregation of lead phosphate particles: implications for lead immobilization in water supply systems
.
Environmental Science & Technology
52
,
12612
12623
.
Zhuang
Y.
,
Qin
X.
,
Li
Y.
,
Xu
S.
,
Yu
Y.
,
Gu
Y.
&
Shi
B.
2021b
Structural property and risk assessment of
LD
s in drinking water distribution systems
.
Journal of Water Supply: Research and Technology-Aqua
70
,
811
821
.
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