Rapid BOD assessment with a microbial array coupled to a neural machine learning system

Area of Science:

• Environmental Science
• Microbiology
• Analytical Chemistry

Background:

• Global domestic water usage generates substantial wastewater (310 km³ annually).
• Wastewater's organic load is conventionally measured by Biological Oxygen Demand (BOD5) using ISO 5815.
• The standard BOD5 test is time-consuming (5 days) and prone to variability (approx. 20%) due to inoculum inconsistencies.

Purpose of the Study:

• To develop an innovative, rapid method for assessing wastewater's biodegradable organic load.
• To overcome the limitations of the traditional BOD5 measurement, including its lengthy duration and variability.
• To validate a new approach using selected bacterial strains for wastewater analysis.

Main Methods:

• Selection and implementation of a set of rigorously chosen bacterial strains.
• Development of optimized experimental conditions for the new analytical method.
• Validation of the developed approach using real wastewater samples and comparison with the standard ISO 5815 method.

Main Results:

• The developed method demonstrated a strong correlation (approx. 0.9) with the reference BOD5 method (ISO 5815).
• The analysis time was significantly reduced to 3 hours, compared to the 5 days required by the standard method.
• The use of controlled bacterial strains and optimized conditions minimized result variability.

Conclusions:

• The proposed method offers a technological breakthrough for wastewater monitoring.
• This rapid analysis simplifies wastewater treatment plant oversight.
• Provides quicker, easier, and more consistent control of wastewater treatment processes.