Vol 25 No 4 Spectroscopy April 2010 Regular Issue PDF

Article

Spectroscopy

SpectroscopySpectroscopy-04-01-2010
Volume 0
Issue 0

Click the title above to open the Spectroscopy April 2010 regular issue, Vol 25 No 4, in an interactive PDF format.

To view a PDF of this article from the Spectroscopy Online archives, click this link.

Articles in this issue
Understanding and Interpreting the GAMP 5 Life Cycle Models for Software
Understanding and Interpreting the GAMP 5 Life Cycle Models for Software
i1-665764-1408639351305.jpg
Avoiding the "W" Recovery
i28-665763-1408639354057.jpg
Products
i4-665766-1408639343222.jpg
Comparison of Different Sample Preparation Procedures for the Determination of RoHS/WEEE Regulated Elements in Printed Circuit Boards and Electrical Components by EDXRF
Group Theory and Symmetry, Part III: Representations and Character Tables
Group Theory and Symmetry, Part III: Representations and Character Tables
i1-665765-1408639347993.jpg
Market Profile: Portable and Handheld Raman
Terahertz Technology: Moving from the Laboratory into the Process World
Terahertz Technology: Moving from the Laboratory into the Process World
Vol 25 No 4 Spectroscopy April 2010 Regular Issue PDF
Recent Videos
The Big Island's Kohala Coast with the dormant volcano of Hualalai in the distance | Image Credit: © Kyo46 - stock.adobe.com
The Big Island's Kohala Coast with the dormant volcano of Hualalai in the distance | Image Credit: © Kyo46 - stock.adobe.com
The Big Island's Kohala Coast with the dormant volcano of Hualalai in the distance | Image Credit: © Kyo46 - stock.adobe.com
The Big Island's Kohala Coast with the dormant volcano of Hualalai in the distance | Image Credit: © Kyo46 - stock.adobe.com
North Coast of the Big Island, area near the Pololu valley, Hawaii | Image Credit: © Dudarev Mikhail - stock.adobe.com.
Technology battery high power electric energy, Battery to electric cars and mobile devices with clean electric, Green renewable energy battery storage future, Technology digital abstract background | Image Credit: © KanawatTH - stock.adobe.com.
Related Content
Textural composition of tar sands tailings showcasing rich mineral deposits and vibrant layers in an abstract geological landscape. Generated by AI. | Image Credit: © GenZGraphics - stock.adobe.com.

Screening of Geological Rocks for Metal Composition Using Three Different Sample Preparation Methods for Atomic Spectroscopy

Ugur Caglayan;Bahar Meryemoglu
July 4th 2025
Article

This study used three distinct sample preparation techniques to examine the metal content of geological rocks.

Ep. 37: On the Subject of Flow Imaging Microscopy in Collaboration with the American Association of Pharmaceutical Scientists.

Ep. 37: On the Subject of Flow Imaging Microscopy in Collaboration with the American Association of Pharmaceutical Scientists.

June 2nd 2025
Podcast
AI Boosts SERS for Next Generation Biomedical Breakthroughs © happystock-chronicles-stock.adobe.com

AI Boosts SERS for Next Generation Biomedical Breakthroughs

Jerome Workman, Jr.
July 2nd 2025
Article

Researchers from Shanghai Jiao Tong University are harnessing artificial intelligence to elevate surface-enhanced Raman spectroscopy (SERS) for highly sensitive, multiplexed biomedical analysis, enabling faster diagnostics, imaging, and personalized treatments.

Ep. 36: A Day in the Life of a NIST Scientist

Ep. 36: A Day in the Life of a NIST Scientist

May 14th 2025
Podcast
Golden confetti rain on festive stage with light beam in the middle, empty room at night | Image Credit: © winyu - stock.adobe.com

Society for Applied Spectroscopy Announces 2025 Fellows Award Recipients

Will Wetzel
July 2nd 2025
Article

The Society for Applied Spectroscopy (SAS) recently announced the 2025 Fellows Award recipients. Here's a rundown of who was selected and their contributions to the field of spectroscopy.

Artificial intelligence accelerates molecular vibration analysis, study finds © Tierney-chronicles-stock.adobe.com

Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds

Jerome Workman, Jr.
July 1st 2025
Article

A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.