Efficient nitrous oxide recovery from incineration leachate by a nosZ-deficient strain of Pseudomonas aeruginosa

Efficient nitrous oxide recovery from incineration leachate by a nosZ-deficient strain of Pseudomonas aeruginosa

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Journal Pre-proofs Efficient nitrous oxide recovery from incineration leachate by a nosZ-deficient strain of Pseudomonas aeruginosa Hanbing Nie, Xinying Liu, Yan Dang, Yanan Ji, Dezhi Sun, Jessica A. Smith, Dawn E. Holmes PII: DOI: Reference:

S0960-8524(19)31601-3 https://doi.org/10.1016/j.biortech.2019.122371 BITE 122371

To appear in:

Bioresource Technology

Received Date: Revised Date: Accepted Date:

18 September 2019 1 November 2019 2 November 2019

Please cite this article as: Nie, H., Liu, X., Dang, Y., Ji, Y., Sun, D., Smith, J.A., Holmes, D.E., Efficient nitrous oxide recovery from incineration leachate by a nosZ-deficient strain of Pseudomonas aeruginosa, Bioresource Technology (2019), doi: https://doi.org/10.1016/j.biortech.2019.122371

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1

Efficient nitrous oxide recovery from incineration leachate by a nosZ-deficient

2

strain of Pseudomonas aeruginosa

3 4 5 6

Hanbing Niea, Xinying Liua, Yan Danga, Yanan Jia, Dezhi Suna*, Jessica A. Smithb, Dawn E. Holmesc

7 8 9 10 11 12 13

a

Beijing Key Laboratory for Source Control Technology of Water Pollution,

14

Engineering Research Center for Water Pollution Source Control and

15

Eco-remediation, College of Environmental Science and Engineering, Beijing

16

Forestry University, Beijing, 100083, China

17 18 19 20

b

Department of Biomolecular Sciences, Central Connecticut State University,

1615 Stanley Street, New Britain, CT 06050, USA c

Department of Physical and Biological Sciences, Western New England

University, 1215 Wilbraham Rd, Springfield, MA 01119, United States

21 22

*Corresponding authors

23

Dezhi Sun, College of Environmental Science & Engineering, Beijing

24

Forestry University, 35 Tsinghua East Road, Beijing 100083, China. (E-mail:

25

[email protected])

26

27

Abstract

28

In this study, nitrous oxide was recovered from a lab-scale moving-bed biofilm

29

reactor (MBBR) treating partial nitrification-treated leachate supplemented with a

30

nosZ-deficient strain of Pseudomonas aeruginosa. Batch culture tests with the

31

nosZ-deficient strain determined that the threshold for free nitrous acid (FNA)

32

inhibition was 0.016 mg/L and that FNA concentrations above this threshold severely

33

inhibited denitrification and transcription of genes from the dissimilatory nitrate

34

reduction pathway (narG, nirS, and norB).

35

efficiencies (> 95%) were achieved with long-term operation of this MBBR. N2O

36

accounted for the majority of biogas (80%) produced when the MBBR was fed partial

37

nitrification-treated leachate with high nitrite concentrations and the drainage ratio

38

was adjusted to 30%. Bacterial community analysis revealed that the nosZ-deficient

39

Pseudomonas strain remained metabolically active and was primarily responsible for

40

denitrification processes in the reactor. This study presents a promising method for

41

N2O recovery from incineration leachate.

High nitrite removal and N2O conversion

42 43

Keywords: incineration leachate, nitrous oxide, energy recovery, free nitrous acid,

44

Pseudomonas aeruginosa PAO1

45

1. Introduction

46

Nitrous oxide (N2O) is one of the most potent greenhouse gases (Stocker et al.,

47

2013) and is considered one of the largest ozone depleting emissions (Ravishankara et

48

al., 2009). It is also an intermediate generated during biological nitrogen removal

49

processes carried out at wastewater treatment plants (WWTPs) (Kampschreur et al.,

50

2009; Schreiber et al., 2012). A significant amount of research has focused on

51

reducing N2O production and emission from WWTPs (Frutos et al., 2018; Leix et al.,

52

2017; Massara et al., 2017; Zheng et al., 2015). However, N2O is also a strong

53

oxidizer that can serve as a potential energy source in co-combustion with other fuels

54

such as methane generated during anaerobic digestion (Zhang et al., 2019). Therefore,

55

recent studies are also trying to identify methods to harvest N2O from WWTPs (Lin et

56

al., 2018; Scherson et al., 2013; Scherson et al., 2014).

57

In

a

typical

WWTP,

ammonia

in

wastewater

is

removed

through

58

nitrification-denitrification processes in which ammonia is oxidized to nitrate or

59

nitrite followed by nitrate/nitrite reduction to nitrogen gas (N2). During denitrification,

60

N2 is formed through a series of enzymatic steps with N2O as an intermediate

61

(Holmes et al., 2019). Not all microorganisms have all of the enzymes required for

62

complete reduction of nitrate to N2, and the end-product of some of these incomplete

63

denitrifiers is N2O. Therefore, methods are being developed to stimulate the growth of

64

N2O-forming denitrifiers, while inhibiting the growth of complete denitrifiers. For

65

example, a process called Coupled Aerobic–anoxic Nitrous Decomposition Operation

66

(CANDO) involves partial nitrification of NH4+ to NO2-, which is then anaerobically

67

reduced to N2O by incomplete denitrifiers (Scherson et al., 2013).

68

Other methods that increase N2O production involve inhibition of the enzyme

69

that catalyzes the conversion of N2O to N2, nitrous oxide reductase (NosZ), with H2S,

70

Cu2+, or free nitrous acid (FNA) (Magalhaes et al., 2011; Pan et al., 2013; Wang et al.,

71

2018b). Both CANDO and NosZ inhibition methods increase N2O concentrations in

72

reactors. However, the high solubility of N2O in water means that N2O only accounts

73

for a small proportion of biogas being produced (Zhang et al., 2019). One study

74

showed that addition of poly-propylene microporous hollow fiber membranes to

75

CANDO reactors significantly increased N2O in the gas phase (Weißbach et al.,

76

2018a). However, this process still needs to be optimized before use in commercial

77

applications.

78

Two approaches should help achieve higher N2O production rates and increase

79

the proportion of N2O found in biogas: (1) increasing denitrifying loads in the

80

wastewater, and (2) increasing the proportion of N2O-forming incomplete denitrifiers

81

in the bacterial community. In a previous study, a moving-bed biofilm reactor (MBBR)

82

fed synthesized wastewater was inoculated with a nosZ-deficient strain of

83

Pseudomonas aeruginosa PAO1 (Lin et al., 2018). This reactor achieved a N2O

84

conversion ratio of 73%, and N2O accounted for 73-81% of the biogas being

85

generated. Although this study successfully increased N2O available in biogas, it was

86

done in reactors fed autoclaved synthetic wastewater. In order to determine whether

87

this organism has real-world applications, N2O production by the nosZ-deficient strain

88

grown in actual wastewater needs to be tested.

89

One type of wastewater that has high denitrifying loads is fresh incineration

90

leachate formed from municipal solid waste (MSW) incineration plants (Dang et al.,

91

2016; Dang et al., 2013; Lei et al., 2016). Fresh incineration leachate contains

92

extremely high concentrations of ammonia (600-1200 mg/L) (Lei et al., 2018) that is

93

readily converted to nitrite through a partial nitrification process (Liu et al., 2019b).

94

While nitrite can serve as an electron acceptor during denitrification to N2O, its

95

protonated form, free nitrous acid (FNA), inhibits microbial activity and impairs the

96

denitrification process (Gao et al., 2016; Hartop et al., 2017; Ye et al., 2010; Zeng et

97

al., 2016). Therefore, after partial nitrification of incineration leachate to nitrite, it is

98

necessary to adjust the pH to minimize the formation of FNA.

99

For these purposes, an MBBR treating partial nitrification-treated MSW

100

incineration-leachate was inoculated with the nosZ-deficient strain of P. aeruginosa

101

and the partial denitrification process was monitored. Thresholds for inhibition of

102

partial denitrification by FNA were identified and optimal parameters for N2O

103

production from incineration leachate were determined.

104

2. Materials and Methods

105

2.1 Experimental strain and media

106

The nosZ-deficient strain of Pseudomonas aeruginosa PAO1 was previously

107

constructed (Lin et al., 2018) and obtained from our laboratory culture collection.

108

Prior to inoculation into the MBBR, cells were grown at 37˚C for 24h under

109

denitrifying conditions in modified LB minimal medium with 100 mg/L NO2--N. For

110

batch experiments, 800 mL denitrifying culture were centrifuged at 8000 rpm for 5

111

min and resuspended in 5 ml sterile water prior to inoculation, while 200 mL of

112

denitrifying culture was inoculated into the MBBR.

113

Fresh leachate was collected from an MSW-energy incineration plant in Beijing,

114

China and stored at 4˚C. This leachate was first treated in an anaerobic digester to

115

decrease chemical oxygen demand (COD), and then treated by partial nitrification to

116

convert ~1000 mg/L NH4+-N to ~1000 mg/L NO2-N. The product generated by both

117

of these treatment steps was then used as the feedstock for this study (Liu et al., 2018).

118

Characteristics of anaerobically treated leachate and partial nitrification-treated

119

leachate are summarized in Table 1.

120

2.2 Batch-experiment design

121

Batch tests were carried out to study the effects of FNA on activity of the

122

nosZ-deficient Pseudomonas aeruginosa PAO1 strain. 50 mL of culture were grown

123

anaerobically in serum bottles with medium composed of NaH2PO4 (150 mg/L),

124

CaCl2 (100 mg/L), MgSO4 · 7H2O (40 mg/L), FeSO4 · 7H2O (20 mg/L), and yeast

125

extract (40 mg/L). Stock solutions of sodium acetate (0.98 M), sodium nitrite (0.9 M),

126

and pH regulators (1.0 N NaOH and 1.0 N HCl) were added to the medium to achieve

127

concentrations of 250 mg/L NO2--N, 1300 mg/L COD, and 0.02-0.2mg/L FNA. Each

128

bottle was incubated at 30˚C and continuously stirred at 100 rpm by a magnetic

129

stirring apparatus.

130

Concentrations of NO2--N, N2O, and COD were measured every 6h until NO2--N

131

concentrations declined to nearly 0 mg/L. FNA concentrations were calculated from

132

NO2--N, temperature, and pH measurements using the following equation (Eq. 1).

133

47

ρ(FNA) = 14

ρ(NO2- - N) EXP( - 2300/(T + 273)) × 10pH

(1)

134

The biomass of the nosZ-deficient strain was determined at the beginning and end

135

of the batch experiment using a linear regression curve constructed by plotting dry

136

weight (mg/L) against absorbance at a wavelength of 600 nm (OD600) (see

137

Supplementary Material).

138

Cells were harvested from the serum bottles and quantitative reverse

139

transcription-polymerase chain reaction (qRT-PCR) was conducted with primers

140

targeting denitrification genes in order to determine the impact that FNA could have

141

on the relative expression of genes involved in denitrification.

142

2.3 RNA extraction and quantitative reverse transcription PCR

143

RNA was collected from triplicate bottles exposed to different FNA

144

concentrations. Cells were split into 50 ml conical tubes (BD Biosciences, San Jose,

145

CA) and pelleted by centrifugation at 8000 rpm for 5 min (Liu et al., 2019a). RNA

146

was then extracted from cell pellets with the RNAprep Bacteria kit (TianGen, China)

147

and treated with DNA-free DNase (Ambion) according to the manufacturer’s

148

instructions. All RNA samples were checked for integrity by agarose gel

149

electrophoresis and had A260/A280 ratios between 2.11 to 2.16 determined by a

150

Nanodrop UV spectrophotometer (Thermo Fisher Scientific, Wilmington, DE, USA).

151

PCR was conducted with primer sets from this study with RNA that had not been

152

reverse transcribed serving as the template to ensure that the RNA samples were not

153

contaminated with DNA.

154

Complementary DNA (cDNA) was generated from total extracted RNA (1μg)

155

with the Fast Quant Reverse Transcriptase Kit (TianGen, China) according to the

156

manufacturer’s instructions. cDNA products were then used as templates for

157

qRT-PCR with previously described primers targeting narG, napA, nirS, norB, nirB,

158

nosZ and constitutively expressed proC genes (Lin et al., 2018). qRT-PCR was

159

performed in a real-time PCR system (7500 FAST, USA) using the manufacturer’s

160

guidelines. Each PCR mixture consisted of a total volume of 25 µL and contained 1.5

161

µL of the appropriate primers (stock concentrations, 15 µM) and 12.5 µL SYBR

162

green PCR master mix (Bio-Rad).

163

2.4 Long-term operation reactor design

164

To

determine

the

sustainability

of

N2O

production

from

partial

165

nitrification-treated leachate inoculated with the nosZ-deficient strain, a sequencing

166

batch MBBR with a working volume of 1 L filled with a 50% polypropylene filter

167

(v/v) was operated for more than 85 cycles. The reactor was inoculated with 100 mL

168

of ∆nosZ cells (OD600 of 0.82) and operated at 30 ± 1˚C. Filters were added to the

169

MBBR to enhance biofilm formation, which increased nosZ-deficient strain biomass

170

in the system.

171

Each operation cycle was 24 hours with the feeding period lasting 5 minutes, the

172

anaerobic stir period lasting 23.5 hours, and the settling and decant period lasting 25

173

minutes. There were three stages of operation. During the first stage (cycles 1-15), the

174

nosZ-deficient strain formed a biofilm on the filter in the reactor. The nosZ-deficient

175

strain then acclimated and started to produce high concentrations of nitrous oxide

176

during stage 2 (cycles 16-55). In the first two stages, the bioreactor was being fed

177

diluted partial nitrification-treated leachate with a drainage ratio set at 100%. The

178

NO2--N concentration in the influent was increased incrementally from 100 to 300

179

mg/L. In the third stage (cycles 56-85), the bioreactor was fed non-diluted partial

180

nitrification-treated incineration leachate (containing 1006-1090 NO2--N mg/L). The

181

drainage ratio at this stage was set at 30% in order to adjust initial NO2--N

182

concentrations at the beginning of each cycle to the same concentration (~300 mg/L).

183

Sodium acetate was provided as the electron donor for denitrification throughout the

184

operational period and the COD/N was maintained at 5.0.

185

Throughout operation, NO2--N, liquid phase N2O, gaseous phase N2O, and total

186

N2O were monitored to determine nitrogen removal efficiencies and N2O production

187

rates. The proportion of N2O in biogas was also determined to ensure the feasibility of

188

N2O recovery and bioreactor energy recovery was calculated from the co-combustion

189

of methane with produced nitrous oxide.

190

2.5 DNA extraction and sequence analysis

191

DNA was extracted from samples collected from the MBBR during cycles 1, 55,

192

and 85 with the E.Z.N.A. Soil DNA Kit (Omega Bio-Tek, Inc., Norcross, GA, USA)

193

according to the manufacturer’s instructions. A Nanodrop UV spectrophotometer

194

(Thermo Fisher Scientific, Delaware) was used to determine the DNA concentration

195

and purity of each sample.

196

Bacterial 16S rRNA gene fragments were amplified by PCR with the 338F/806R

197

primer set. Amplicons were sequenced on an Illumina Hiseq 2000 platform (Illumia,

198

San Diego, USA) by Majorbio Bio-Pharm Technology Co. Ltd. (Shanghai, China).

199

Sequences were placed into various operational taxonomic units with Pyrosequencing

200

Pipeline software (https://pyro.cme.msu.edu). Raw sequence files have been

201

submitted to the NCBI Sequence Read Archive database under accession NO.

202

PRJNA558633.

203

2.6 Analytical methods

204

NO2--N, NO3--N, NH4+-N, and COD were determined by standard methods

205

(APHA., 2005). Biomass was determined with a spectrophotometer (UV-1800,

206

Shimadzu, Japan) set at a wavelength of 600 nm. The pH was measured with a HACH

207

sensION+pH3®pH meter (HACH, USA). The N2O portion of biogas was analyzed

208

with a gas chromatograph (Agilent 7890A) equipped with an electron capture detector

209

(ECD). N2O dissolved in the liquid phase was calculated using Henrys law based on a

210

previously described method (Wang et al., 2018a). Statistical differences were

211

determined by one-way analysis of variance (ANOVA), with p<0.05 considered to

212

be statistically significant.

213

3. Results and Discussion

214

3.1 Effects of FNA on nitrite removal and N2O conversion by the nosZ-deficient

215

mutant strain

216

A batch experiment was conducted to determine the threshold of FNA inhibition

217

and to identify optimal FNA concentrations for nitrite removal by the nosZ-deficient

218

P.

219

strain was grown in medium containing 0.206 mg/L initial FNA at pH 7.0, 0.042

220

mg/L initial FNA at pH 7.5, or 0.016 mg/L initial FNA at pH 8.0. Marked differences

221

in nitrite conversion rates were observed between the three conditions (Fig. 1a).

222

Cultures amended with an initial FNA concentration of 0.016 mg/L had the highest

aeruginosa strain during the partial denitrification process. The nosZ-deficient

223

nitrite conversion rate (6.77 mgN/(L ·h)), while nitrite reduction was minimal in the

224

other conditions. The bottles supplemented with 0.016 mg/L also formed the highest

225

concentrations of total nitrous oxide (0.398 ± 0.022 mM), while bottles grown under

226

the other conditions produced little N2O (~0.05 ± 0.022 mM) (Fig. 1b). Similar to the

227

nosZ-deficient P. aeruginosa strain, denitrification by Accumulibacter was also

228

completely inhibited by FNA concentrations of 0.2 mg/L (Zhou et al., 2010).

229

COD concentrations also decreased most rapidly in the 0.016 mg/L FNA bottles

230

during the first 18 hours of the experiment; 25.05 mg/(L·h) compared to 11.67

231

mg/(L·h) and 11.17 mg/(L · h) in the 0.042 mg/L FNA and the 0.206 mg/L FNA

232

bottles, respectively (Fig. 1c). These results are consistent with the fact that most of

233

the electron acceptor (NO2-) had been utilized by 18 h in the 0.016 mg/L FNA bottle

234

meaning that acetate could no longer serve as an electron donor for denitrification.

235

Therefore, the only way that the nosZ-deficient strain could support growth at this

236

point was via fermentation of compounds present in the yeast extract as this organism

237

cannot ferment acetate (Eschbach et al., 2004; Glasser et al., 2014; Vander Wauven et

238

al., 1984).

239

Although COD consumption in the 0.016 mg/L FNA bottle almost completely

240

leveled off by 18 h, CODs continued to steadily decline until 30 h for the 0.206 mg/L

241

FNA bottle and 36 h for the 0.042 mg/L FNA bottle (Fig. 1c). This is likely because

242

nitrite was still available as an electron acceptor at this point and although

243

denitrification

244

denitrification could support some growth. However, it appears that the majority of

245

COD consumption in the bottles with elevated FNA concentrations could be

246

attributed to fermentation and biomass conversion pathways.

enzymes

were

impaired

by

elevated

FNA

concentrations,

247

FNA concentrations in the 0.016 mg/L FNA bottle dropped down to only 0.0025

248

mg/L after 6 h and concentrations were negligible by 36 h (Fig. 1d). During the first

249

18 hours of the experiment, pH in the 0.042 mg/L bottle decreased from 7.58 to 7.11

250

which caused FNA concentrations to increase from 0.042 mg/L to 0.122 mg/L. This

251

drop in pH was most likely caused by an increase in acidic by-products formed from

252

the fermentation of yeast extract (CO2 and fatty acids) by Pseudomonas aeruginosa.

253

After 18 hours, however, FNA concentrations went back down to 0.042 mg/L and

254

this decline in FNA corresponded with an increase in nitrite consumption (Fig. 1a)

255

and nitrous oxide production (Fig. 1b). This suggests that cells started to participate in

256

denitrification once FNA concentrations had dropped. In the 0.206 mg/L FNA bottle,

257

pH was maintained at 6.95 ± 0.06 for the entire 30 h experiment (see Supplementary

258

Material). FNA concentrations in the 0.206 mg/L bottle also remained above 0.148

259

mg/L and these concentrations inhibited growth of P. aeruginosa as evidenced by the

260

finding that little denitrification or fementation occurred in this bottle.

261

Consistent with the finding that the nosZ-deficient mutant was only able to grow

262

efficiently in the 0.016 mg/L FNA bottle, biomass measurements actually declined in

263

the 0.206 mg/L FNA bottle, only slightly increased in the 0.042 mg/L FNA bottle, and

264

significantly increased in the 0.016 mg/L FNA bottle over the course of the

265

experiment (see Supplementary Material).

266

3.2 Effect of FNA on expression of denitrification pathway genes

267

In order to explore the influence of FNA on transcription patterns of

268

denitrification genes, qRT-PCR was done with primers targeting various genes from

269

the dissimilatory nitrate reduction pathway (Fig. 2). The results clearly demonstrated

270

that transcription of denitrification genes was severely inhibited by elevated FNA

271

concentrations. For example, 7.8 and 146.6 times more mRNA transcripts from the

272

gene that codes for the alpha subunit of nitrate reductase/nitrite oxidoreductase (narG)

273

were being expressed in cells grown in the 0.016 mg/L FNA bottle than the 0.042

274

mg/L FNA and 0.206 mg/L FNA bottles, respectively (Fig. 2). The protein encoded

275

by narG can catalyze both the reduction of nitrate to nitrite and the oxidation of nitrite

276

to nitrate (Gonzalez et al., 2006), and the narGHI operon is regulated by sensor

277

proteins that are activated by either nitrate or nitrite (Noriega et al., 2010). Studies

278

have also shown that elevated FNA concentrations can inhibit enzymes from the

279

denitrification pathway (Fudala-Ksiazek et al., 2014). This explains why narG was

280

being expressed in nitrite-grown cells and why the number of narG mRNA transcripts

281

was higher in the FNA 0.016 mg/L bottle than the FNA 0.042 mg/L or 0.206 mg/L

282

bottles.

283

Genes coding for the NO-forming nitrite reductase (nirS) and the beta subunit of

284

nitric oxide reductase (norB) were also more significantly expressed in the 0.016

285

mg/L FNA bottle. Cells from the 0.016 mg/L FNA bottle expressed 8.6 and 38.4

286

times more nirS mRNA transcripts and 6.5 and 35.5 times more norB transcripts than

287

the 0.042 mg/L FNA and the 0.206 mg/L FNA bottles.

288

No transcripts for genes coding for periplasmic nitrate reductase (napA) or the

289

large subunit from assimilatory nitrite reductase (nirB) were detected in the three

290

bottles. These results are consistent with previous studies that have shown that napA

291

is expressed under aerobic and microaerophilic conditions and that nirB transcription

292

is only induced under high nitrate concentrations (Lin et al., 2018). In addition, the

293

nosZ gene was not expressed, confirming the purity of the nosZ-deficient mutant

294

strain used in these studies.

295

3.3 Performance of the MBBR treating effluent from partial nitrification of

296

incineration leachate and supplemented with the nosZ-deficient P. aeruginosa

297

strain.

298

Once optimal FNA concentrations for growth of the nosZ-deficient strain were

299

identified in batch experiments, tests were done to determine whether this strain could

300

survive in long-term sequencing batch bioreactors treating effluent from partial

301

nitrification of incineration leachate, and whether N2O generated by this strain could

302

be recovered efficiently during long-term operation.

303

The denitrification MBBR received 200 mL of suspended mutant strain cells

304

(OD600 of 0.82) cultured in LB media. The reactor was operated for 85 cycles with

305

each cycle duration set at 24 h per cycle (Fig. 3). During the first stage of the

306

experiment (Stage I: cycle 1-15), NO2--N concentrations were maintained at ~100

307

mg/L and COD concentrations ranged from 500 to 550 mg/L to ensure biofilm

308

formation. During this stage, the nosZ-deficient strain gradually acclimated to

309

denitrifying conditions, and NO2--N removal efficiencies gradually increased from

310

4.85% to 55.58% for each cycle. By the end of Stage I (cycle 15), NO2--N removal

311

efficiencies were greater than 60% (Fig. 3).

312

During the second stage of the experiment (Stage II: cycles 16-55), NO2--N

313

concentrations ranged from 100 to 300 mg/L and COD concentrations ranged from

314

500-1500 mg/L to keep the COD/N at ~5.0. NO2--N removal efficiencies increased

315

further (85% to 99%), and became relatively stable after cycle 21. Approximately 2.7

316

mmol/d, 4.6 mmol/d, 6.9 mmol/d, and 10.3 mmol/d of N2O were generated by the

317

experimental reactor when it was provided with NO2--N concentrations of 100 mg/L,

318

150 mg/L, 200 mg/L, and 300 mg/L, respectively. The majority (>70%, Fig. 3) of

319

N2O being generated in the experimental reactor during Stage II was dissolved in the

320

aqueous phase. N2O gas only accounted for 1.24-9.22% of the biogas being produced

321

during this stage (Fig. 4). N2O conversion efficiencies ranged from 66.25% to 99.77%

322

in stage II, indicating that the reactor was operating stably. A thick biofilm had also

323

formed on the bio-filter by the end of this stage (see Supplementary Material).

324

In the third stage of operation, raw partial nitrification-treated leachate with

325

~1000 mg/L NO2--N and ~5000 mg/L COD was fed into the MBBR, and the drainage

326

ratio was changed from 100% to 30% (Stage III: cycles 56-85). NO2--N efficiencies

327

were maintained at ~99% throughout Stage III, and 10.6 mmol/d of N2O was

328

generated when the reactor was provided with NO2--N concentrations of 300 mg/L.

329

The majority (>90%, Fig. 3) of N2O being produced during Stage III was found in the

330

gas phase, and N2O gas accounted for 71.52-83.57% of the biogas (Fig. 4). N2O

331

conversion efficiencies continued to be stable and ranged from 95.44 to 99.64%

332

during this final stage, significantly higher than previous studies that achieved

333

efficiencies of 80% (Table 2).

334

The proportion of N2O in biogas generated by the MBBR reactor increased

335

significantly during Stage III (after cycle 56) (Fig. 4). Prior to Stage III, N2O only

336

accounted for 15% of the biogas. However, after cycle 56, when the drainage ratio

337

was decreased from 100% to 30%, the proportion of N2O in biogas increased to 80%.

338

This can be explained by the fact that the MBBR reactor discharged 70% less leachate

339

after each cycle and that the influent was changed from diluted (<300 mg/L NO2--N)

340

to non-diluted (~1000 mg/L NO2--N) leachate (although after thoroughly stirring,

341

NO2--N concentrations at the beginning of each cycle remained at ~300 mg/L (1000 *

342

30% / 100%)). Under these conditions, the non-discharged leachate was already

343

saturated with dissolved N2O, and this left little liquid volume for any newly

344

generated N2O, concentrating N2O in the gas phase.

345

The equation of co-combustion with methane and nitrous oxide (Eq. 2) was used

346

to quantify energy recovered in N2O from the MBBR reactor. A significant amount of

347

energy (average 9206 kJ/m3) was recovered during Stage III (cycles 56 to 85), but

348

little energy (average 475 kJ/m3) was recovered during cycles 1 to 55.

349 350

°

CH4 + 4N2O →CO2+2H2O + 4N2, ∆HC = - 1219 kJ/mol

(2)

3.4 Bacterial community analysis

351

In order to ensure that microorganisms already present in the partial

352

nitrification-treated leachate used as influent for the MBBR system did not

353

competitively exclude the nosZ-deficient Pseudomonas strain, bacterial community

354

structure in the MBBR was assessed at different periods of operation (cycles 1, 55,

355

and 85) (Fig. 6). The nosZ-deficient Pseudomonas strain dominated the community at

356

the beginning of the experiment and accounted for 99.7% of the bacterial sequences

357

detected after cycle 1. As the experiment progressed, the MBBR bacterial community

358

became more diverse and Pseudomonas only accounted for 38.35% and 24.77% of

359

the bacterial sequences after cycles 55 and 85.

360

Tissierella became the most significant organism and accounted for 55.86%-58.63%

361

of the population after cycle 55. This genus has been isolated from human sewage

362

treatment plants (Harms et al., 1998) and has been a dominant member of bacterial

363

communities associated with several anaerobic digesters treating complex waste

364

(Jaenicke et al., 2011; Liu et al., 2009; Nolla-Ardèvol et al., 2015; Snell-Castro et al.,

365

2005; Ziganshina et al., 2014). Tissierella can metabolize nitrogen-containing

366

compounds but is not capable of denitrification (Harms et al., 1998). Its metabolism is

367

also stimulated by the presence of formate (Harms et al., 1998) which is a

368

fermentation by-product formed by P. aeruginosa (Eschbach et al., 2004). Therefore,

369

it is possible that production of formate by Pseudomonas helped stimulate growth of

370

Tissierella, however further investigation into this possibility is required.

371

Other bacterial genera that started to appear later in the experiment included

372

Muricomes, Alkaliphilus, Jeotaglibaca, and Clostridium (Fig. 6). Clostridium is

373

known to be capable of dissimilatory nitrate reduction to ammonia (DNRA) (Caskey

374

& Tiedje, 1980; Keith et al., 1982) and genes for ammonia forming nitrite reductase

375

(nrfAH) were found in Tissierella and Alkaliphilus genomes. The role that these other

376

microorganisms were playing in the reactor is unclear. However, it is apparent that

377

conditions in the reactor did not promote growth of traditional complete or incomplete

378

denitrifiers that could generate N2O. Therefore, it appears that under the conditions

379

used in this study, reactors need to be supplemented with N2O producing bacteria

380

such as the nosZ-deficient strain of P. aeruginosa to generate high concentrations of

381

N2O throughout the experiment. These findings are significant and show that

382

generation of N2O by the nosZ-deficient strain of P. aeruginosa and potentially other

383

denitrifying strains have real applications within the wastewater treatment field.

384 385

4. Conclusions

386

Batch experiments revealed that FNA concentrations above 0.016 mg/L severely

387

inhibited denitrification by the nosZ-deficient strain of P. aeruginosa. Addition of this

388

strain to an MBBR dramatically improved performance and resulted in nitrite removal

389

and N2O conversion efficiencies >95%. Adjustment of the drainage ratio to 30%

390

increased the proportion of N2O in biogas to levels above 80%. Bacterial community

391

analyses revealed that the nosZ-deficient Pseudomonas was primarily responsible for

392

N2O formation in the bioreactor throughout the experiment. These results demonstrate

393

that high concentrations of N2O can be recovered from incineration leachate in

394

MBBR supplemented with the nosZ-deficient Pseudomonas strain.

395 396

Note

397

The authors declare no competing interest.

398 399

Appendix A. Supplementary Data

400

E-supplementary data for this work can be found in e-version of this paper online.

401 402

Acknowledgments

403

This research was financially supported by the National Natural Science

404

Foundation

405

Natural Science Foundation (8184081) and the Major Science and Technology

406

Program for Water Pollution Control and Treatment (2017ZX07108-002).

of

China

(51678051,

51708031),

the Beijing

Municipal

407 408 409 410

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44. Ye, L., Pijuan, M., Yuan, Z. 2010. The effect of free nitrous acid on the anabolic and catabolic processes of glycogen accumulating organisms. Water Res, 44(9), 2901-9. 45. Yu, C., Qiao, S., Yang, Y., Jin, R., Zhou, J., Rittmann, B.E. 2019. Energy recovery in the form of N2O by denitrifying bacteria. Chemical Engineering Journal, 371, 500-506.

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environmental sustainability of energy recovery from nitrous oxide in biological wastewater

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treatment plant. Bioresour Technol, 282, 514-519.

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Minimization of nitrous oxide emission in a pilot-scale oxidation ditch: generation, spatial

548

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549

49. Zhou, Y., Ganda, L., Lim, M., Yuan, Z., Kjelleberg, S., Ng, W.J. 2010. Free nitrous acid

550

(FNA) inhibition on denitrifying poly-phosphate accumulating organisms (DPAOs). Appl

551

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552

50. Ziganshina, E.E., Belostotskiy, D.E., Shushlyaev, R.V., Miluykov, V.A., Vankov, P.Y.,

553

Ziganshin, A.M. 2014. Microbial community diversity in anaerobic reactors digesting turkey,

554

chicken, and swine wastes. J Microbiol Biotechnol, 24(11), 1464-772.

555

556 557

Figure captions Fig. 1. Growth of the nosZ-deficient strain of P. aeruginosa PAO1 under

558

denitrifying conditions with acetate (19.5 mM) provided as an electron donor. Cells

559

were exposed to three different initial free nitrous acid (FNA) concentrations. Nitrite

560

concentrations (a); total nitrous oxide (from liquid and gaseous phases) (b); chemical

561

oxygen demand (COD) (c), and free nitrous acid (FNA) (d) were monitored over the

562

course of 36 hours. Error bars were calculated from triplicate samples.

563

Fig. 2. The number of narG, napA, nirS, norB, nirB and nosZ mRNA transcripts

564

normalized against the number of proC mRNA transcripts detected in the

565

nosZ-deficient P. aeruginosa cells exposed to different FNA concentrations. Error

566

bars were calculated from triplicate samples.

567 568 569 570

Fig. 3. Performance of the MBBR supplemented with the nosZ-deficient P. aeruginosa strain. Fig. 4. Proportion of N2O in biogas generated by the MBBR supplemented with the nosZ-deficient P. aeruginosa strain.

571

Fig. 5. Energy recovered (calculated by nitrous oxide combustion with methane)

572

from nitrous oxide generated by the nosZ-deficient P. aeruginosa-supplemented

573

MBBR system.

574 575

Fig. 6. Proportion of various genera detected in the MBBR system supplemented with nosZ-deficient P. aeruginosa after cycles 1, 55, and 85.

576 577

Table captions

578

Table 1 Characteristics of experimental wastewater used in this study

579

Table 2 Nitrogen removal efficiencies, N2O production rates, and N2O

580

conversion efficiencies obtained with the method used in this study compared to other

581

approaches used for N2O recovery.

582

Table 1. Characteristics of experimental wastewater used in this study COD

BOD5

NH4+-N

NO3--N

NO2--N

(mg/L)

(mg/L)

(mg/L)

(mg/L)

(mg/L)

1980-3660

850-2380

1140-1420

1124-1545

125-342

202-310

Item

pH

AnaerobicallyN/A

N/A

8.05-8.55

1006-1090

7.12-7.53

treated leachate Partial nitrification treated leachate 583

18.28-24.65

584

Table 2. Nitrogen removal efficiencies, N2O production rates, and N2O conversion

585

efficiencies obtained with the method used in this study compared to other approaches

586

used for N2O recovery. Nitrogen Study

N2O

N2O

removal

production rate

conversion

efficiency

(mgN/(gVSS·h))

efficiency

nosZ-deficient

This study

>97%

119.7±5.7

>95%

Pseudomonas

(Lin et al., 2018)

>97%

106.1±4.9

70-80%

(Scherson et al., 2013)

>98%

5.6

60-65%

(Scherson et al., 2014)

>98%

25.2

75-80%

72%

2.1±0.4

65-75%

(Gao et al., 2017)

>98%

5.1±1.6

70-80%

(Weißbach et al., 2018b)

>95%

1.05 ± 0.20

53-63%

80%

2.38±0.26

50-65%

>98%

N/A

71-73%

CANDO

NO inhibit Light-driven

(Myung et al., 2015)

(Yu et al., 2019) (Chen et al., 2019)

587 588 589

Highlights 

590

Optimal FNA concentrations for the nosZ-deficient Pseudomonas were <0.02 mg/L

591



FNA inhibited transcription of genes from the denitrification pathway

592



N2O conversion efficiencies of MBBR supplemented with nosZ-deficient

593 594

strain were >95% 

595 596 597 598 599

Drainage ratio adjustments increased the proportion of N2O in biogas to 80%



The nosZ-deficient strain remained the dominant denitrifier throughout MBBR operation