Repository logoRepository logoEcolib
Institutional
repository
  • Communities & Collections
  • Browse
AAA
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. ENVIRONMENTAL TECHNOLOGIES
  3. Articles
  4. Enhanced nutrient and organic matter removal from dairy wastewater through an optimized activated algae process
 
  • Details
Options

Enhanced nutrient and organic matter removal from dairy wastewater through an optimized activated algae process

Journal
Frontiers in Plant Science
ISSN
1664-462X
Date issued
2026-03-23
Author(s)
Tiron, Olga  
National Research and Development Institute for Industrial Ecology, ECOIND  
Pascu, Luoana Florentina  
National Research and Development Institute for Industrial Ecology, ECOIND  
Buse, Tatiana  
National Research and Development Institute for Industrial Ecology, ECOIND  
Badescu, Valeriu  
National Research and Development Institute for Industrial Ecology, ECOIND  
Dinu, Laurentiu Razvan  
National Research and Development Institute for Industrial Ecology, ECOIND  
Constantin, Mirela Alina  
National Research and Development Institute for Industrial Ecology, ECOIND  
Constantin, Lucian Alexandru  
National Research and Development Institute for Industrial Ecology, ECOIND  
DOI
10.3389/fpls.2026.1721052
Abstract
Wastewater treatment faces increasing pressure to transition from energy-intensive technology to sustainable alternatives aligned with global resource efficiency and climate goals. Microalgae-based processes have emerged as promising solutions in environmental remediation applications; however, their large-scale deployment remains constrained by contamination risks, stringent operational requirements, and high downstream costs. These challenges are particularly evident in the treatment of nutrient-rich industrial influents such as dairy wastewater, which represents an environmental concern. Addressing this gap is important for strengthening overall climate action efforts and safeguarding ecosystems by reducing greenhouse gas emissions and transforming nutrient loads from pollution sources into potential resources. In this study, a two-stage biological treatment of raw dairy wastewater was tested as an alternative to conventional technology. The process relied on activated algae biomass, consisting of microalgae-bacteria consortia, operated in sequencing batch mode. The treatment stages were strategically designed to address elevated organic and ammonium loads while maintaining aerobic conditions exclusively through photosynthesis. The first stage operated at high COD loadings (>1 g O2L) and achieved organic matter removal above 80%, while the second stage, adapted to lower COD (<0.5 g O2L), ensured residual ammonium below the detection limit and overall COD removal up to 99%. Optimization of operational conditions further improved microalgae harvesting efficiency (from 88.6 ± 2.7% to 94.4 ± 1.8%) and enhanced floc stability through diversification of microalgae communities. Complementary, microfauna analysis outlined the presence of protozoan and metazoan populations confirming process stability and ecological balance comparable to traditional activated sludge system. The findings demonstrate potential of the activated algae system as a resilient and resource-efficient alternative to conventional wastewater treatment technology. By avoiding energy demand for mechanical aeration and ensuring nutrient recovery in line with environmental regulatory frameworks, the developed process supports sustainable wastewater treatment management while aligning with international goals on climate change mitigation and aquatic ecosystems protection.
Subjects

activated algae

dairy wastewater

microalgae harvesting...

microalgae-bacteria c...

photosynthetic oxygen...

wastewater treatment

Files
Loading...
Thumbnail Image
Name

fpls-17-1721052.pdf

Size

12.1 MB

Format

Adobe PDF

Checksum

(MD5):e99353fdd9d6d7ec37aa2550de885900

ECOIND logoECOIND logo
ECOLIB logoECOLIB logo
ROAR
ECOLIB logoECOLIB logo
Copyright 2025 ECOIND | End User Agreement | Send Feedback | Cookie settings | Privacy policy
DSpace Software Provided by PCG Academia