STEM Division • Volume 4, Issue 2

Algorithmic Analysis of Micro-Algal Growth Rates

By Elena Vance, Phillips Exeter Academy. Published October 14, 2024. DOI: 10.5555/prc.2024.4.2.12

Peer Reviewed

Editorial Verification

STEM

Computational Biology

Open Access

Permanent Archival Record

Executive Summary

This study investigates the correlation between spectral photon flux density and cellular division velocity in Chlorella vulgaris. Utilizing automated optical density logging across a 14-day cultivation cycle, we demonstrate that narrow-band blue spectrum illumination yields a 14.2% increase in replication fidelity compared to broad-spectrum fluorescent controls.

Abstract Excerpt, Section 1.0

Full Manuscript

Introduction & Methodology

The metabolic dynamics of micro-algae under variable lighting conditions remain a foundational inquiry in photobioreactor design. Prior investigations have primarily focused on total lumens rather than specific nanometer intervals. Our methodology isolates four distinct wavelength bands using solid-state diode arrays, measuring optical density at two-hour intervals across triplicate cultures maintained at 22 degrees Celsius.

Results indicate statistically significant variance in logarithmic growth phases. Cultures subjected to 450nm monochromatic light achieved exponential phase entry 18 hours prior to control groups. Methodological rigor was maintained via automated pH balancing and continuous nutrient replenishment to eliminate confounding variables.

Citations & Author

References & Author Bio

1. Aris, K. et al. (2021). Photonic Regulation in Chlorophytes. Journal of Secondary STEM, 12(4), 112-128. 2. Chen, M. (2023). Automated Density Logging in Controlled Environments. Academic Press. Elena Vance is a senior researcher at Phillips Exeter Academy focusing on computational biology and automated biological systems.