Raman analyzers

A pioneering study integrates laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy (RS) and applies machine learning (ML) to achieve exceptional accuracy in mineral identification. The combined approach not only leverages the strengths of both techniques but also enhances classification precision, achieving up to 98.4% accuracy.

Researchers at King Saud University have successfully improved the efficiency of methylammonium lead triiodide (MAPbI3) perovskite solar cells by doping them with Germanium Sulfide (GeS). By enhancing the crystalline quality and surface morphology of the perovskite layer, the team achieved a power conversion efficiency (PCE) of 17.46%, making this doping technique a promising method for improving solar cell performance.

Researchers at Budapest University of Technology and Economics have developed a novel method for real-time monitoring of the protein purification process using Raman and near-infrared (NIR) spectroscopy. Their study compares the effectiveness of these two spectroscopic techniques in tracking the removal of imidazole, a process-related impurity, during the purification of the SARS-CoV-2 spike protein's receptor-binding domain (RBD).

Researchers from Humboldt-Universität zu Berlin and the German Aerospace Center (DLR) have developed a cutting-edge fiber-dispersive Raman spectrometer (FDRS) capable of detecting low-density biological matter in space. By combining a single-photon detector with a dispersive optical fiber element, the team achieved a breakthrough in in-situ Raman spectroscopy, promising unprecedented sensitivity and reliability in the search for extraterrestrial rudimentary life.

A recent study explores the strengths and limitations of spatially offset Raman spectroscopy (SORS) and micro-SORS, offering new insights into their applications for non-invasive subsurface material analysis. The findings provide valuable guidelines for choosing between these techniques based on sample characteristics and analytical needs.

An innovative study has demonstrated that two-dimensional correlation spectroscopy (2D-COS) can effectively differentiate between toxic and biocompatible carbon nanofibers (CNFs), offering a novel method for evaluating the safety of nanomaterials intended for medical use.