We demonstrate for the first time, to the best of our knowledge, Raman random lasing in a continuous-wave (CW) excited, completely biocompatible and biodegradable carrot medium naturally composed of fibrous cellulose scattering medium and rich carotene Raman gain medium. The CW-laser-induced photoluminescence threshold and linewidth analysis at the Stokes modes of carotene show a characteristic lasing action with a threshold of 130 W/cm and linewidth narrowing with mode Q factor up to 1300. Polarization study of output modes reveals that lasing mode mostly retains the source polarization state. A neat and interesting linear temperature dependence of emission intensity is also discussed. Easy availability, biocompatibility, excitation-dependent emission wavelength selectivity, and temperature sensitivity are hallmarks of this elegant Raman laser medium with strong potential as an optical source for applications in bio-sensing, imaging, and spectroscopy.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OL.43.005865 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimized machine learning approaches to combine surface-enhanced Raman scattering and infrared data for trace detection of xylazine in illicit opioids.
Analyst
January 2025
Department of Chemistry, University of Victoria, Victoria, British Columbia, V8W 3V6, Canada.
Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from both models)-to enhance the predictive accuracy for xylazine detection in illicit opioid samples. Three chemometric approaches-random forest, support vector machine, and -nearest neighbor algorithms-were employed and optimized using a 5-fold cross-validation grid search for all fusion strategies. Validation results identified the random forest classifier as the optimal model for all fusion strategies, achieving high sensitivity (88% for hybrid, 92% for mid-level, and 96% for high-level) and specificity (88% for hybrid, mid-level, and high-level).
View Article and Find Full Text PDFBIMSSA: enhancing cancer prediction with salp swarm optimization and ensemble machine learning approaches.
Front Genet
January 2025
Department of Mechatronics Engineering, Parul Institute of Technology, Parul University, Vadodara, Gujarat, India.
Background: Cancer rates are rising rapidly, causing global mortality. According to the World Health Organization (WHO), 9.9 million people died from cancer in 2020.
View Article and Find Full Text PDFImpact of Genomic Classifiers on Risk Stratification and Treatment Intensity in Patients With Localized Prostate Cancer : A Systematic Review.
Ann Intern Med
January 2025
Durham VA Health Care System, Durham; and Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina (K.M.G.).
Background: Tissue-based genomic classifiers (GCs) have been developed to improve prostate cancer (PCa) risk assessment and treatment recommendations.
Purpose: To summarize the impact of the Decipher, Oncotype DX Genomic Prostate Score (GPS), and Prolaris GCs on risk stratification and patient-clinician decisions on treatment choice among patients with localized PCa considering first-line treatment.
Data Sources: MEDLINE, EMBASE, and Web of Science published from January 2010 to August 2024.
Magnetic field-mediated oxidative modification of myoglobin: One effective method for improving the gel properties of myofibrillar protein.
Food Chem
January 2025
College of Life Science, Yangtze University, Jingzhou, Hubei 434023, PR China. Electronic address:
This study employed a magnetic field to investigate the impact of myoglobin (Mb) oxidation (0-20 mmol/L HO) on the gel properties of myofibrillar protein (MP). The results indicated that magnetic field could further facilitate the rearrangement of the Mb structure, resulting in the transfer of its internal reactive groups to the external environment. This contributed to hydration and cross-linking between MP.
View Article and Find Full Text PDFEasily Water-Synthesisable Iron-Chloranilate Frameworks as High Energy and High-Power Cathodes for Sustainable Alkali-Ion Batteries.
Angew Chem Int Ed Engl
January 2025
Universidad Complutense de Madrid Facultad de Ciencias Quimicas, Inorganic Chemistry Department, 28034, Madrid, SPAIN.
Achieving high battery performance from low-cost, easily synthesisable electrode materials is crucial for advancing energy storage technologies. Metal organic frameworks (MOFs) combining inexpensive transition metals and organic ligands are promising candidates for high-capacity cathodes. Iron-chloranilate-water frameworks are herein reported to be produced in aqueous media under mild conditions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!