Characterization of Functionalized Nanoparticles Using Ambient Ionization Mass Spectrometry
This is the second of a three-part podcast series focused on nanomaterials characterization and the recent advancement in nano metrology and analytical methods. This series addresses three innovative and complementary analytical techniques that cover various measurements needed in the field on nanotechnology and nanomaterials characterization.
This is the second of a three-part podcast series focused on nanomaterials characterization and the recent advancement in nano metrology and analytical methods. This series addresses three innovative and complementary analytical techniques that cover various measurements needed in the field on nanotechnology and nanomaterials characterization. This second podcast will focus on the use of direct sample analysis (DSA), an ambient ionization technique, combined with time of flight (TOF) mass spectrometry, a novel technique that allows the rapid characterization of organic ligands residing on the surfaces of nanomaterials.
To view the associated webcast click here.
Portable and Wearable Spectrometers in Our Future
December 3rd 2024The following is a summary of selected articles published recently in Spectroscopy on the subject of handheld, portable, and wearable spectrometers representing a variety of analytical techniques and applications. Here we take a closer look at the ever shrinking world of spectroscopy devices and how they are used. As spectrometers progress from bulky lab instruments to compact, portable, and even wearable devices, the future of spectroscopy is transforming dramatically. These advancements enable real-time, on-site analysis across diverse industries, from healthcare to environmental monitoring. This summary article explores cutting-edge developments in miniaturized spectrometers and their expanding range of practical applications.
AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
