Environmental diagnosis with Raman Spectroscopy applied to diatoms

• Type: Article in International Scientific Journal
• Date: 2022

Authors

Luis Oliva Teles (Author) FCUP; Pinto, R (Author) Other; Vilarinho, R (Author) Other; Carvalho, AP (Author) FCUP; Agostinho Moreira, JA (Author) FCUP; Guimaraes, L (Author) Other

Journal

Title: Biosensors and Bioelectronics

Vol. 198

ISSN: 0956-5663

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-00V-NQ9

DOI: 10.1016/j.bios.2021.113800

Abstract (EN): Freshwater quality has been changing due to the ever greater use of water resources and the contamination load resulting from human activities. Management of these systems, thus, requires constant diagnose of water quality with fast and efficient methodologies. The conventional methods adopted are, however, time-consuming, often very expensive, and require specialised expertise. Raman spectroscopy (RS) is a simple, fast and label-free technique that can be applied to environmental diagnosis using diatoms. Here, we developed a diagnostic method based on Raman spectroscopy applied to freshwater diatoms. For this, Raman spectra were recorded from diatoms of three lakes of a natural city park. The data acquired was analysed by chemometrics methods to describe the data (Partial Least Squares Regression), infer relationships in the dataset (Cluster Analysis) and produce classification models (Artificial Neural Network). The classification models developed diagnosed the lakes with excellent accuracy (89%) without requiring taxonomic information about the diatom species recorded. This study provides a proof-of-concept for the application of diatom Raman spectroscopy to diagnosing water quality, laying an important foundation for future environmental studies aiming at assessing freshwater systems, to be replicated at larger scales and to varied geographic settings.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7