The imperative to accurately monitor algae growth and composition stems from their pervasive impact on ecosystem dynamics. Algae serve as early indicators of environmental changes, making their precise assessment crucial for identifying shifts in ecological balance. The information gleaned from such monitoring is pivotal for implementing targeted conservation efforts and sustainable practices, thereby safeguarding the delicate equilibrium of ecosystems. As integral components within the intricate tapestry of ecological processes, algae play indispensable roles in environmental health by facilitating crucial functions such as oxygen production and carbon dioxide absorption and serving as the cornerstone of aquatic food chains. Positioned as stewards of ecosystem equilibrium, the accurate monitoring of algal growth and composition becomes paramount for comprehending the intricacies of ecosystem dynamics and fostering sustainable environmental practices.
This paper initiates a comprehensive exploration of the revolutionary potential inherent in Raman spectroscopy, with a specific focus on its application to a silica substrate. The distinctive attributes of Raman spectroscopy, marked by its non-invasive nature, rapid data acquisition, and label-free analytical capabilities, position it as a formidable tool poised to unlock intricate molecular insights into the composition of algae. In this context, the research methodology entails a meticulous experimental setup designed to harness the unique capabilities of Raman spectroscopy for the detection and characterization of algae on a silica substrate. By ensuring the uniform deposition of the algal samples, the study seeks to guarantee consistent and reproducible analysis.
Author Contributions
Conceptualization, A.K.; methodology, A.K., J.M. and A.O.-M.; validation, A.K.; investigation, A.K.; writing—original draft preparation, A.K.; writing—review and editing, E.P. and A.K.; supervision, E.P. and A.K.; funding acquisition, E.P. All authors have read and agreed to the published version of the manuscript.
Funding
E.P. acknowledges funding by the Slovenian Research and Innovation Agency (ARIS) under research program P1–0055.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study are available on request from the corresponding author because it is still under development.
Conflicts of Interest
The authors declare no conflict of interest.
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