Year: 2025
Type: article
Abstract: Spermatozoa were isolated from seminal fluid using washing (wash), post-capacitation (POS), and swim-up (SU) techniques, followed by analysis through Surface-Enhanced Raman Spectroscopy (SERS). Density gradient and swim-up methods were applied to 35 semen samples to validate sperm quality. The resulting spectra showed notable variations at 408 cm⁻¹ (S–S stretch attributed to lysozyme) and 728 cm⁻¹ (associated with DNA al-terations and methylation). These spectral markers were incorporated into partial least squares discriminant analysis (PLS-DA) models to distinguish among sperm populations prepared by different methods. One PLS-DA model differentiated wash from POS and SU, attaining 86% sensitivity and 91% accuracy. Another model distinguished between POS and SU, achieving 77% sensitivity and 74% accuracy. The combined use of SERS and multivariate analysis offers a promising alternative for assessing sperm quality, sup-ported by motility assessments in 35 validated samples. This approach could enhance both the accuracy and efficiency of reproductive diagnostics.
Source: Molecules
Authors: Yeira P. Lopez-Lora, Nataly J. Galán-Freyle, Natally Vidal-Figueroa, Antony Cardozo-Puello, Antonio J. Acosta Hoyos, Guido Guido Parra-Anaya, Elvin S Lebrón-Ramírez, Fabián Espitia-Almeida, Samuel P. Hernández-Rivera, Maximiliano Méndez-López, Ornella Fiorillo-Moreno, Karin Rondon-Payare, Leonardo C. Pacheco-Londoño
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,258
OpenAlex ID: W4409707250