Performance evaluation of the FastIC readout ASIC with emphasis on Cherenkov emission in TOF-PET.

The efficient usage of prompt photons like Cherenkov emission is of great interest for the design of the next generation, cost-effective, and ultra-high-sensitivity time-of-flight positron emission tomography (TOF-PET) scanners. With custom, high power consuming, readout electronics and fast digitization the prospect of sub-300 ps FWHM with PET-sized BGO crystals have been shown. However, these results are not scalable to a full system consisting of thousands of detector elements.

Ultrathin 2 nm gold as impedance-matched absorber for infrared light.

Thermal detectors are a cornerstone of infrared and terahertz technology due to their broad spectral range. These detectors call for efficient absorbers with a broad spectral response and minimal thermal mass. A common approach is based on impedance-matching the sheet resistance of a thin metallic film to half the free-space impedance.

Simple, fast and sensitive LC-MS/MS analysis for the simultaneous quantification of nicotine and 10 of its major metabolites.

Urinary determination of nicotine metabolites provides an ideal tool for the quantitative assessment of the tobacco use-related nicotine dose, provided that the considered metabolites comprise a large share of the amount taken up. A method based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed for the sensitive, fast and robust analysis of nicotine and 10 major nicotine metabolites ("Nic+10"), including cotinine, trans-3'-hydroxy-cotinine, nicotine-N-glucuronide, cotinine-N-glucuronide, trans-3'-hydroxy-cotinine-O-glucuronide, nornicotine, norcotinine, nicotine-N'-oxide, cotinine-N'-oxide and 4-hydroxy-(3-pyridyl)-butanoic acid. Corresponding deuterated internal standards were spiked prior to a simple and straightforward solid phase extraction (SPE) procedure.

Untargeted metabolomic profiling in saliva of smokers and nonsmokers by a validated GC-TOF-MS method.

A GC-TOF-MS method was developed and validated for a metabolic fingerprinting in saliva of smokers and nonsmokers. We validated the method by spiking 37 different metabolites and 6 internal standards to saliva between 0.1 μM and 2 mM.