From Pollution to Resource: Algal–Bacterial Symbiotic Systems for Swine Wastewater Treatment and Resource Recovery—A Review
Abstract
1. Introduction
2. Treatment Options for Swine Wastewater
2.1. Physicochemical Methods
2.1.1. Coagulation and Sedimentation
2.1.2. Adsorption
2.1.3. Magnesium Ammonium Phosphate Crystallization (MAP)
2.1.4. Membrane Separation Technology
2.2. Biological Treatment
2.2.1. Anaerobic Biological Treatment
2.2.2. Aerobic Biological Treatment
3. Microalgae, Bacteria, and Algal–Bacterial Symbiotic Systems in Swine Wastewater Treatment
3.1. Advances in Microalgal Systems for Swine Wastewater Treatment
3.2. Advances in Bacterial Systems for Swine Wastewater Treatment
- (i)
- low sensitivity to water quality changes and large loading impulses;
- (ii)
- great sensitivity to environmental changes that influence the processing of nitrogen;
- (iii)
- possible N2O emissions; and
- (iv)
- inadequate management of pollution by antibiotic resistance.
3.3. Synergistic Algal–Bacteria Symbiosis Mechanisms in the Treatment of Swine Wastewater
3.4. Optimization Strategies and Technological Innovations in Algal–Bacterial Symbiotic Systems
3.5. Biological Monitoring and Process Supervision of Swine Wastewater Treatment Systems
4. Resource Utilization of Algal–Bacterial Biomass
4.1. Algal–Bacterial Biomass as a Carrier of Pollutant-Derived Resources
4.2. Energy Recovery from Algal–Bacterial Biomass
4.3. Nutrient Reuse from Algal–Bacterial Biomass
4.4. High-Value Utilization of Algal–Bacterial Biomass
4.5. Product-Oriented “Process–Resource” Coupled Design Concept
5. Challenges and Perspectives
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Year | Live Pig Inventory at Year-End (106 Head) | Estimated Swine Wastewater Output (106 m3/d) | Estimated Swine Wastewater Output (108 m3/yr) |
|---|---|---|---|
| 2015 | 458.03 | 6.87 | 25.08 |
| 2016 | 442.09 | 6.63 | 24.20 |
| 2017 | 441.59 | 6.62 | 24.18 |
| 2018 | 428.17 | 6.42 | 23.44 |
| 2019 | 310.41 | 4.66 | 16.99 |
| 2020 | 406.50 | 6.10 | 22.20 |
| 2021 | 449.22 | 6.74 | 24.59 |
| 2022 | 452.56 | 6.79 | 24.78 |
| 2023 | 434.22 | 6.51 | 23.77 |
| 2024 | 427.43 | 6.41 | 23.40 |
| 2025 | 429.67 | 6.45 | 23.52 |
| Wastewater Type | pH | COD (mg/L) | TN (mg/L) | NH4+–N (mg/L) | TP (mg/L) | Reference |
|---|---|---|---|---|---|---|
| Raw swine wastewater | 6.9 | 3459.43 | 975.45 | 623.86 | 482.62 | [7] |
| Anaerobically digested swine wastewater | 8.4 | 2267.62 | 862.92 | 476.35 | 415.34 | [7] |
| UASB-treated swine-wastewater digested liquid | 8.0–8.5 | 180.9–508.9 | 198.1–807.3 | 192.9–802.1 | 8.7–29.2 | [8] |
| Prefiltered anaerobically digested swine wastewater (non-autoclaved) | 7.35 ± 0.21 | 1124.01 ± 23.46 | 341.50 ± 9.71 | 238.50 ± 4.95 | 80.75 ± 0.49 | [9] |
| Untreated anaerobic digestion piggery effluent (ADPE) | 8.8 ± 0.1 | 5757.8 ± 122.2 | 1357.9 ± 4.6 | 1250.5 ± 22.6 | 71.2 ± 1.0 | [10] |
| Pig slurry samples from 12 farms | 7.16–8.07 | 3130–89,500 | 720–8840 | 650–3260 | 70–3320 | [11] |
| Reactor Type | Working Principle | Advantages | Limitations | Reference |
|---|---|---|---|---|
| UASB (Upflow Anaerobic Sludge Blanket) | Wastewater flows upward through granular sludge bed; organics degraded under anaerobic conditions; biogas production promotes mixing | Suitable for high-strength wastewater; low operating cost; methane recovery | Slow sludge granulation during start-up; sensitive to temperature fluctuations | [43] |
| EGSB (Expanded Granular Sludge Bed) | Enhanced internal circulation expands granular sludge, increasing contact efficiency and mass transfer | Higher loading capacity than UASB; improved mixing and reaction rate | Higher energy input; risk of sludge disintegration | [43] |
| AnSBR (Anaerobic Sequencing Batch Reactor) | Cyclic operation (fill–react–settle–decant) enhances biomass retention and contact time | Flexible operation; suitable for small- to medium-scale systems | Requires precise operational control; batch operation complexity | [43] |
| AnMBR (Anaerobic Membrane Bioreactor) | Combines anaerobic digestion with membrane separation for biomass retention and effluent polishing | High effluent quality; complete biomass retention; suitable for reuse | High capital cost; membrane fouling issues | [43] |
| Process Type | Working Principle | Advantages | Limitations | Typical Application |
|---|---|---|---|---|
| A/O (Anoxic–Oxic) [46] | Anoxic denitrification (NOx− → N2, requiring organic carbon) combined with aerobic nitrification (NH4+ → NOx−); internal recirculation enables closed-loop nitrogen removal | Mature and scalable; clear process configuration; easy integration with anaerobic units | Limited denitrification under low C/N conditions; high aeration energy demand; sensitive to influent fluctuations | Post-anaerobic polishing treatment |
| SBR (Sequencing Batch Reactor) [47] | Cyclic operation (fill–react–settle–decant); alternating anaerobic–anoxic–aerobic phases enable integrated nitrogen and phosphorus removal within one reactor | Flexible operation; good resistance to hydraulic shock; adaptable phase control | Strong dependence on operational strategy (aeration, mixing, feeding); higher automation requirement | Medium-scale systems and advanced treatment |
| Intermittent Aeration (IA) [48] | Alternating aeration and non-aeration periods create temporal aerobic/anoxic conditions for sequential nitrification and denitrification | Reduced average aeration intensity; no need for separate anoxic tank | Sensitive to DO and cycle control; limited performance under low C/N conditions | Process retrofitting and nitrogen removal enhancement |
| Microaerobic/Low DO [49] | Maintains low dissolved oxygen to promote simultaneous nitrification–denitrification and potential shortcut pathways | Potential energy savings; improved nitrogen removal in some cases | Narrow operational control window; sensitive to temperature and loading fluctuations | Advanced nitrogen removal |
| MBR (Membrane Bioreactor) [50] | Combines biological reaction (nitrification/denitrification) with membrane separation replacing secondary clarifier; high sludge retention time (SRT) | High effluent quality; small footprint; stable solid–liquid separation | Membrane fouling; higher capital and operational costs; dependence on pretreatment | High-standard discharge and reuse |
| Parameter | Reported Condition/Range | Main Effect on System Performance | Representative Indicators Affected | Representative Studies |
|---|---|---|---|---|
| Algal–bacterial ratio | Example reported optimum: 1:0.2 | Alters metabolic complementarity and the balance between assimilation-dominated and transformation-dominated nutrient removal pathways | Biomass increment; TN/TP removal and recovery efficiency | [19,67] |
| Initial microalgal inoculation concentration | 0.05–0.2 g/L | Higher inoculation can enhance biomass accumulation and improve process start-up under digestate conditions | Maximum biomass increment increased from 0.41 g/L to 0.68 g/L | [19] |
| Light regime/photoperiod | Continuous illumination vs. shorter cycles vs. 12L:12D; 12L:12D performed best | Regulates photosynthetic activity, oxygen supply, biomass growth, and nutrient transformation | Growth rate; biomass accumulation; oxygen availability; N/P recovery | [19] |
| Hydraulic retention time (HRT) | 2–12 d | Controls the trade-off between biomass harvesting efficiency and deep pollutant removal; short HRT favors productivity, longer HRT favors stable treatment | Biomass harvesting rate; pollutant removal efficiency; operational stability | [19] |
| Influent C/N ratio | Low-C/N digestate and swine wastewater are critical operating contexts | Affects the relative contribution of algal assimilation, nitrification–denitrification, and nutrient recovery pathways | TN removal route distribution; carbon utilization; process stability | [104,122] |
| Community structure/algal–bacterial composition | Suboptimal vs. optimized consortium structure | Strongly influences the relative contributions of biological assimilation and physicochemical/transformation pathways | TN removal: 38% assimilation vs. 62% nitrification–denitrification; TP removal: 18% assimilation vs. 82% precipitation | [67] |
| Mixing/hydrodynamic conditions | Identified as a key operational factor requiring coordinated control | Influences light distribution, gas transfer, biomass suspension, and long-term reliability | Biomass retention; pathway stability; overall reactor performance | [104,122] |
| Operational window integration | Coordinated control of light, HRT, ratio, and community structure | Shifts optimization target from single-pollutant maximization to stable long-term process control | Multi-pathway balance; long-term reliability; engineering feasibility | [104,122] |
| Reactor Configuration | Main Structural Characteristics | Advantages | Limitations | Reference |
|---|---|---|---|---|
| Suspended-culture reactor | Microalgae and bacteria are cultivated as suspended biomass in the bulk liquid phase | Simple configuration; easy start-up; suitable for laboratory screening and mechanistic studies | Poor settling performance; low biomass retention; high harvesting burden; vulnerable to hydraulic disturbance | [19,124] |
| Attached-growth/biofilm reactor | Microbial biomass grows on carriers or support media, forming attached biofilms | Improved mass transfer; enhanced biomass retention; greater microenvironmental stability; better resistance to shock loading | Carrier management and biofilm overgrowth may affect long-term operation; reactor design is relatively more complex than suspended systems | [123] |
| High-rate algal pond (HRAP) | Open or semi-open shallow pond system with continuous mixing and strong light exposure | Low energy demand; suitable for large-volume treatment; can couple pollutant removal with biomass production and CO2 utilization | Large land requirement; lower process controllability; biomass separation remains challenging; more sensitive to climate fluctuations | [122] |
| Algal–bacterial aerobic granular sludge (ABGS/AB-AGS) | Dense, self-aggregated granular structure with microalgae and bacteria embedded in an EPS-rich matrix | High effluent quality; complete biomass retention; suitable for reuse | Granule formation and stability require careful operational control; engineering scale-up is still developing | [108,124,125] |
| Integrated UASB–HRAP system | Anaerobic digestion unit coupled with a downstream algal-based polishing and recovery unit | Improved carbon utilization; integration of anaerobic treatment, nutrient recovery, and biomass production; reduced environmental impact | Multi-unit operation is more complex; coordination of upstream and downstream units is required | [122] |
| Algal–bacterial symbiotic reactor for anaerobic digestate polishing | ABS reactor treating anaerobic digestate while utilizing digestion-derived CO2 as an inorganic carbon source | Simultaneous nitrogen and phosphorus reduction; enhanced carbon recovery; direct linkage between digestion and algal growth | Performance depends strongly on light regime, inoculation strategy, and HRT; digestate composition may fluctuate markedly | [19,122] |
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Yang, H.; Xu, Y.; Tang, T.; Liu, C.; Wei, W. From Pollution to Resource: Algal–Bacterial Symbiotic Systems for Swine Wastewater Treatment and Resource Recovery—A Review. Water 2026, 18, 833. https://doi.org/10.3390/w18070833
Yang H, Xu Y, Tang T, Liu C, Wei W. From Pollution to Resource: Algal–Bacterial Symbiotic Systems for Swine Wastewater Treatment and Resource Recovery—A Review. Water. 2026; 18(7):833. https://doi.org/10.3390/w18070833
Chicago/Turabian StyleYang, Haorui, Yuxing Xu, Tao Tang, Changqing Liu, and Wei Wei. 2026. "From Pollution to Resource: Algal–Bacterial Symbiotic Systems for Swine Wastewater Treatment and Resource Recovery—A Review" Water 18, no. 7: 833. https://doi.org/10.3390/w18070833
APA StyleYang, H., Xu, Y., Tang, T., Liu, C., & Wei, W. (2026). From Pollution to Resource: Algal–Bacterial Symbiotic Systems for Swine Wastewater Treatment and Resource Recovery—A Review. Water, 18(7), 833. https://doi.org/10.3390/w18070833
