4.6 Article

Enhanced detoxification methods for the safe reuse of treated olive mill wastewater in irrigation

Journal

ENVIRONMENTAL SCIENCES EUROPE
Volume 35, Issue 1, Pages -

Publisher

SPRINGER
DOI: 10.1186/s12302-023-00797-2

Keywords

Olive mill wastewater; Acid precipitation; Fenton oxidation; Electro-coagulation; Irrigation; Barley germination

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This study aims to investigate an integrated detoxification treatment sequence to safely reuse olive mill wastewater (OMWW) for barley germination. The results showed that the treated OMWW could enhance barley growth and reduce phytotoxicity, as well as degrade harmful substances and heavy metals.
Olive Mill Wastewater (OMWW) is produced in large quantities and contains high levels of nutrients that can be reused for irrigation, reducing the demand for freshwater resources. However, OMWW is phytotoxic and expensive to treat, making it important to develop more cost-effective treatment methods. This study aims to investigate an integrated detoxification treatment sequence consisting of acid precipitation, Fenton oxidation, and electrical coagulation to safely reuse OMWW for barley germination. Raw, treated and diluted OMWW (25% and 50% OMWW) were tested. The results showed that raw and diluted OMWW suppressed seed germination at all concentrations, while diluted treated OMWW enhanced seed germination and plant growth. In addition, treated OMWW (acid precipitation treatment) at 25% dilution reported 0% phytotoxicity significantly improved plant growth, where plant fresh weight (FW) reached 123.33 mg. Moreover, alpha-amylase, lipase, and protease enzyme activity confirmed the superior enhancement of barley growth parameters, where the highest enzyme activity value recoded 0.870 mg maltose/g FW. The integrated treatments reduced detoxification by 97.90% for total phenolic, 98.37% for total flavonoids, and 99.18% for total tannins. Reductions of around 95.78%, 60.00%, and 78.90% in total organic carbon, electric conductivity, and total solids, respectively, were achieved. A significant decrease in heavy metals was observed with removal ratios 98.64%, 94.80%, 96.88%, and 95.72% for Fe, Cu, Mn, and Zn, respectively. Seedling Vigor Index as an indicator of crop productivity was successfully predicted using neural network modeling. Therefore, the applied method can be used as a fertilizer to support plant growth and reduce fertilization costs.

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