Sustainable Nutrient Recovery from Porcine Slurry: Agronomic Evaluation of Filtered and Ozonated Effluents in Internet-of-Things-Enabled Aeroponic Lettuce Cultivation
Abstract
1. Introduction
2. Materials and Methods
2.1. Advanced Oxidation and Mechanical Pre-Treatment of Porcine Slurry
2.1.1. Mechanical Separation and Particle Refinement
2.1.2. Ozone Purification Technology
2.1.3. Physicochemical Characterization
2.2. Agronomic Evaluation and Plant Material Characteristics
2.2.1. Varietal Adaptability and Characteristics
- Lactuca sativa var. Longifolia (Romaine lettuce): Characterized by upright, robust leaves with a marked central rib. This variety is generally considered high-yielding and requires a steady supply of nitrogen to maintain its crisp texture.
- Lactuca sativa var. Capitata (Butterhead lettuce): A butterhead variety with tender, smooth leaves. It is highly valued for its delicate flavor but is susceptible to tipburn and osmotic stress.
- Lactuca sativa var. Capitata (Red leaf lettuce): A curly-leaf variety known for its rapid growth and high environmental resilience. It serves as an excellent indicator for potential growth inhibition under sub-optimal nutritional conditions.
2.2.2. Nutrient Solution Preparation and Conditioning
2.2.3. Nitric Acid Acidification and Nitrogen Enrichment
2.2.4. Precision Irrigation Scheduling
- Peak Photosynthetic Period (08:00–18:00): 8 min of misting every 20 min to maintain high leaf turgor and support maximum transpiration.
- Twilight/Cool-down Period (18:00–22:00): 5 min every 30 min
- Nocturnal Period (22:00–08:00): 5 min every 45 min to prevent root dehydration while avoiding excessive cooling of the reservoir.
2.2.5. Production and Composition Assessment
- Periodical measurements: Throughout the experiment, the content of chlorophyll in the plants was monitored as the Chlorophyll Content Index (CCI), measured with OptiSciences CCM200plus (Opti-Sciences, Inc., Hudson, NY, USA). Between 2 and 3 three plants of each variety in each aeroponic tower were chosen, and the chlorophyll content of 2–3 leaves of each plant was measured in a weekly basis. For the same plants, the length of the longest leaf was measured.
- Production assessment: At the end of the experiment, the weight of each plant was measured for total, root and aerial part to assess production. Also, the final values of leaves and root length of each plant were measured. Consumption of the nutrient solution for each aeroponic was also assessed.
- Plant characterization: We assessed dry matter (80 °C until constant weight), organic nitrogen via Kjeldahl digestion (Selecta RAT-2, J.P. Selecta, S.A., Abrera, Spain) and quantification via potentiometry (Jenway Ion Meter 3345, Jenway, Stone, UK) with an ammonia-selective electrode (Jenway 3345, Jenway, Stone, UK), protein content (organic nitrogen × 5), total phosphorus and potassium using an acid solution of the ashes (loss on ignition in muffle furnace at 470 °C) with HNO3 3N and quantification via colorimetry for total phosphorus (Spectrometer Shimadzu UV-VIS 160, Shimadzu Corporation, Kyoto, Japan), and flame photometry for total potassium (Flame photometer Corning 410, Corning Incorporated, Halstead, UK).
- Sampling strategy and replicates: Regarding the sampling strategy, for the agronomic evaluation described above (fresh weight, aerial weight, and chlorophyll), the entire population of surviving plants was analyzed. This corresponds to a census of 8 biological replicates per variety for each treatment (tower); therefore, no sub-sampling randomization was required for these variables. However, for the nutritional characterization which required destructive analysis, a subset of plants was selected. To ensure unbiased selection, a randomization method was applied using a pre-generated random sequence of integers from 1 to 24 (representing plant positions in the tower). The first three unique positions corresponding to each variety in the sequence were selected for analysis (n = 3 biological replicates per variety per treatment). This random selection pattern was applied consistently across all three towers. Analytical determinations in the laboratory were performed in triplicate to ensure instrumental precision.
2.3. IoT-Integrated Aeroponic Platform and Monitoring Framework
2.3.1. Structural Design and Modular Components
2.3.2. IoT Sensor Array and Cloud Infrastructure
2.3.3. Machine Learning and Predictive Analytics
2.4. Statistical Analysis
3. Results
3.1. Solution Chemistry and Electrical Conductivity
3.2. NPK Mass Balance and Extraction Ratios
3.3. Physiological Response: Chlorophyll and Biomass
3.4. Nutrient Content of Harvested Tissue
4. Discussion
4.1. The Paradox of Ozone Treatment
4.2. The Critical Need for Potassium Supplementation
4.3. IoT as the Enabler of Organic Precision Agriculture
4.4. Territorial and Socio-Economic Impact
4.5. Practical Implications and Future Perspectives
5. Conclusions
- Technical Reliability: Mechanical filtration down to 50 microns combined with ESP32-based IoT monitoring ensures that slurry-derived nutrient solutions can be delivered via high-pressure misting systems without significant mechanical failure or nozzle clogging.
- Varietal Sensitivity: While the romaine lettuce variety exhibits high stability, the red leaf lettuce variety shows growth inhibition under ozonated slurry, highlighting the need for variety-specific nutrient management in organic systems.
- Nutrient Balance Imperative: Porcine slurry is naturally unbalanced for horticulture, providing a nitrogen surplus but a chronic potassium deficiency (covering only 32–64% of needs). Ozonation further mineralizes phosphorus but appears to reduce potassium bioavailability.
- Operational Safety: Ozone treatment effectively reduces bacterial loads (as evidenced by E. coli counts), contributing to the sanitary safety of the slurry. The obtained values (100 CFU/mL in FOS) clearly comply with the safety thresholds established by Regulation (EU) 2019/1009 for fertilizing products (<1000 CFU/mL), making the effluent acceptable for general agricultural use. However, microbiological contamination remains one of the main limitations associated with the agricultural valorization of porcine slurry. While these levels are entirely suitable for extensive or processed crops, their application in horticultural crops intended for raw consumption presents stricter risks. Therefore, even though the treatment significantly reduces the content of pathogens, in order to make a full assessment of waste effluents—particularly those of fecal origin—further research and long-term monitoring must be conducted to ensure strict food safety for raw product consumption.
- Circular Economy Scale: Scaling this technology to just 5–10% of the regional porcine census could release up to 16,000 hectares of agricultural base from nitrate over-application, significantly protecting groundwater resources.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| CCI | Chlorophyll Content Index | NFT | Nutrient Film Technique |
| COD | Chemical Oxygen Demand | NPK | Nitrogen Phosphorus Potassium |
| DM | Dry Matter | NVZ | Nitrate Vulnerable Zone |
| DWC | Deep Water Culture | OM | Organic Matter |
| EC | Electrical Conductivity | PCV2 | Porcine Circovirus Type 2 |
| FOS | Filtered–Ozonated Slurry | PCV3 | Porcine Circovirus Type 3 |
| FS | Filtered Slurry | SS | Standard Solution |
| GHG | Greenhouse Gas | TN | Total Nitrogen |
| IoT | Internet of Things | WUE | Water Use Efficiency |
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| Parameter | Filtered Slurry (FS) | Filtered–Ozonated Slurry (FOS) | Unit |
|---|---|---|---|
| Density | 1008 | 1006 | kg/m3 |
| Dry Matter (DM) | 3.33 | 3.74 | % |
| Organic Matter (OM) | 63.4 | 64.8 | % DM |
| Total Nitrogen (TN) | 10.23 | 9.70 | % DM |
| Organic Nitrogen | 3.21 | 3.23 | % DM |
| Ammoniacal Nitrogen | 7.02 | 6.48 | % DM |
| Phosphorus (P) | 2.13 | 2.10 | % DM |
| Potassium (K) | 9.02 | 8.21 | % DM |
| Calcium (Ca) | 3.06 | 3.06 | % DM |
| Magnesium (Mg) | 1.24 | 1.22 | % DM |
| Iron (Fe) | 0.36 | 0.39 | % DM |
| Copper (Cu) | 358 | 393 | mg/kg |
| Zinc (Zn) | 1074 | 1167 | mg/kg |
| Cadmium (Cd) | 0.66 | 0.73 | mg/kg |
| Lead (Pb) | <5 | <5 | mg/kg |
| Mercury (Hg) | <0.4 | <0.4 | mg/kg |
| Chromium VI (Cr) | 12.5 | 12.2 | mg/kg |
| Nickel (Ni) | 11.2 | 11.3 | mg/kg |
| C/N Ratio | 9.88 | 10.03 | – |
| Nitrites | 5.77 | 6.74 | mg/kg |
| COD | 40,485 | 48,845 | mg O2/L |
| Electrical Conductivity | 19.03 | 19.69 | dS/m |
| Escherichia coli | 230 | 100 | CFU/mL |
| Parameter | Filtered Slurry (FS) | Filtered–Ozonated Slurry (FOS) | Unit |
|---|---|---|---|
| Density | 1003 | 1002.5 | mg/L |
| pH | 7.86 | 7.90 | – |
| Electrical Conductivity (EC) | 2.47 | 2.58 | dS/m |
| Total Nitrogen (TN) | 53 | 46 | mg/L |
| Soluble Ammoniacal Nitrogen (SAN) | 130 | 170 | mg/L |
| Available Phosphorus (AP) | 30.9 | 55 | mg/L |
| Available Potassium (AK) | 180 | 160 | mg/L |
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Parra, X.; Musté, M.; López, M.; Piñol, J.; Pérez, E.; Acín, R. Sustainable Nutrient Recovery from Porcine Slurry: Agronomic Evaluation of Filtered and Ozonated Effluents in Internet-of-Things-Enabled Aeroponic Lettuce Cultivation. Horticulturae 2026, 12, 258. https://doi.org/10.3390/horticulturae12030258
Parra X, Musté M, López M, Piñol J, Pérez E, Acín R. Sustainable Nutrient Recovery from Porcine Slurry: Agronomic Evaluation of Filtered and Ozonated Effluents in Internet-of-Things-Enabled Aeroponic Lettuce Cultivation. Horticulturae. 2026; 12(3):258. https://doi.org/10.3390/horticulturae12030258
Chicago/Turabian StyleParra, Xavier, Marta Musté, Marga López, Joan Piñol, Elsa Pérez, and Roger Acín. 2026. "Sustainable Nutrient Recovery from Porcine Slurry: Agronomic Evaluation of Filtered and Ozonated Effluents in Internet-of-Things-Enabled Aeroponic Lettuce Cultivation" Horticulturae 12, no. 3: 258. https://doi.org/10.3390/horticulturae12030258
APA StyleParra, X., Musté, M., López, M., Piñol, J., Pérez, E., & Acín, R. (2026). Sustainable Nutrient Recovery from Porcine Slurry: Agronomic Evaluation of Filtered and Ozonated Effluents in Internet-of-Things-Enabled Aeroponic Lettuce Cultivation. Horticulturae, 12(3), 258. https://doi.org/10.3390/horticulturae12030258

