SPEC PerkinElmer 11.10
|Podcasts|November 30, 2020

Advance Your Lab Operations Series

Related to this article

Monitoring Sugar Consumption and Ethanol Production During Yeast Fermentation Using a Raman Plate Reader and Multivariate Analysis
This column shows that a Raman plate reader paired with partial least squares regression can simultaneously quantify glucose, fructose, sucrose, and ethanol in yeast fermentation samples, using turbidity-matched calibration standards to correct for yeast-induced turbidity, and offers a rapid, label-free, high-throughput method for tracking sugar consumption and ethanol production in strain screening, media optimization, and process development.
Highly Substituted Benzene Rings—The Rest of the Story II: Spectra
This column, the second installment on highly substituted benzene rings, shows that tri- and tetra-substituted substitution patterns can be distinguished by whether the ring bending peak is present and by the position of the in-phase aryl C-H wagging peak, which shifts according to how many adjacent hydrogens the ring carries.
Healthcare administrator reviewing an insurance policy schedule with a stethoscope on a clipboard, health insurance coverage, medical underwriting, prior authorization, and patient claims processing. | Image Credit: Joi_studio - stock.adobe.com
In a SciX interview, Marc Porter covered a lot of ground, from a student-driven pivot into immunoassays to a baseball analogy for Stokes and anti-Stokes scattering, and shares the open questions he is still chasing.
Ingots of pure copper or pink gold on a black background. | Image Credit: Phawat - stock.adobe.com
At SciX, Kevin Wilkinson of the Universite de Montreal explains how faster data acquisition and new software have cut analysis time and how a particle’s chemical composition can link arsenic-bearing emissions back to a copper refinery’s processes.
Spectral Frontiers: Seeing the Unseeable Microspectroscopy
Microspectroscopy, the marriage of spectroscopic chemical identification with microscopic spatial resolution, has advanced from Perkin-Elmer's first commercial infrared microspectrometer in 1953 to today's nanoscale AFM-IR probes, synchrotron-brightness infrared beamlines, and compact hyperspectral tissue imaging devices being developed for AI-assisted cancer detection.