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A review article from researchers at Liaocheng University explores the challenges of applying vibrational spectroscopy t...
24/10/2025

A review article from researchers at Liaocheng University explores the challenges of applying vibrational spectroscopy techniques to food authentication.

Read more: https://hubs.li/Q03PMty50

Top articles published this week include an interview with our Emerging Leader in Molecular Spectroscopy award winner Li...
24/10/2025

Top articles published this week include an interview with our Emerging Leader in Molecular Spectroscopy award winner Lingyan Shi, a mini-tutorial highlighting practical workflows and innovative applications, and an inside look at single-particle ICP-TOF-MS.

Read more: https://hubs.li/Q03Q4GX30

đź’Ž Characterizing Carbon Materials with Raman SpectroscopyOver the past few decades, a wide range of engineered carbon ma...
24/10/2025

đź’Ž Characterizing Carbon Materials with Raman Spectroscopy

Over the past few decades, a wide range of engineered carbon materials — from diamond films to diamond-like carbon (DLC) coatings — have emerged across industries. But defining “quality” in these materials isn’t always straightforward.

In this month’s column, we explore how Raman spectroscopy can reveal key structural characteristics of carbon materials. Despite its apparent simplicity, the Raman spectrum offers deep insight into bonding, crystallinity, and the balance between sp² and sp³ carbon — helping scientists link spectral features to the physical properties that define performance.

📖 Read the full article to learn how Raman spectra aid in the characterization of modern carbon materials → https://hubs.li/Q03P5t7p0

A review, “Surface-Enhanced Raman Spectroscopy: A Half-Century Historical Perspective” traces the evolution of SERS from...
23/10/2025

A review, “Surface-Enhanced Raman Spectroscopy: A Half-Century Historical Perspective” traces the evolution of SERS from its foundational experiments in the 1970s through the nanoscience era and modern high-spatial-resolution techniques.

Read more: https://hubs.li/Q03PMtGr0

In this final interview segment with Lingyan Shi, she discusses the challenges of developing multimodal metabolic nanosc...
23/10/2025

In this final interview segment with Lingyan Shi, she discusses the challenges of developing multimodal metabolic nanoscopy systems, and where these systems could be applied in the future.

Watch the interview here: https://hubs.li/Q03PMkkW0

ICP-MS has become a dominant technique for ultra-trace elemental analysis, with single quadrupole systems comprising 80%...
23/10/2025

ICP-MS has become a dominant technique for ultra-trace elemental analysis, with single quadrupole systems comprising 80% of the market.

Read more about this evolving market here:

Spectroscopy connects analytical chemists with insights in molecular and atomic spectroscopy techniques, such as Raman, infrared (IR), ICP-MS, LIBS & XRF.

đź’ˇ Advancing Nuclear Forensics with Single-Particle ICP-TOF-MSIn a recent Spectroscopy interview, Benjamin Manard, Senior...
23/10/2025

đź’ˇ Advancing Nuclear Forensics with Single-Particle ICP-TOF-MS

In a recent Spectroscopy interview, Benjamin Manard, Senior R&D Staff Scientist and Group Leader of the Chemical & Isotopic Mass Spectrometry Group at Oak Ridge National Laboratory (ORNL), joins Sarah Szakas and Jordan Stanberry, postdoctoral researchers at ORNL, to discuss their pioneering work using single-particle inductively coupled plasma time-of-flight mass spectrometry (SP-ICP-TOF-MS) for uranium particle isotope ratio measurements.

This innovative technique offers new precision and insights for nuclear forensics, safeguards, and environmental monitoring, pushing the boundaries of what’s possible in isotopic analysis.

Read the full interview to learn how SP-ICP-TOF-MS is shaping the future of nuclear measurement science: https://hubs.li/Q03Pz13Y0

A new study reveals that resveratrol binds to peanut protein arachin through hydrophobic and hydrogen-bond interactions,...
22/10/2025

A new study reveals that resveratrol binds to peanut protein arachin through hydrophobic and hydrogen-bond interactions, enhancing protein stability and offering valuable insights for developing functional peanut-based food products.

Read more: https://hubs.ly/Q03PyTS80

🔬 Exploring the Frontiers of Vibrational and Atomic SpectroscopyA new collection of tutorial-style articles dives deep i...
22/10/2025

🔬 Exploring the Frontiers of Vibrational and Atomic Spectroscopy

A new collection of tutorial-style articles dives deep into ten major unsolved problems in vibrational and atomic spectroscopy — designed for advanced practitioners and graduate students alike.

Each tutorial explores complex challenges in spectroscopy modeling, chemometrics, machine learning interpretability, and standardization, offering:
• Detailed mathematical derivations and radiative transfer models
• Rigorous, verifiable content grounded in reference literature
• A structured format with theory, examples, and discussion of future research directions

Whether you’re teaching, learning, or pushing the limits of analytical science, this collection provides a roadmap to the field’s most pressing open questions.

Read more: https://hubs.ly/Q03Py-TT0

This article discusses pre-analytical best practices, recent innovations in MW design, and other productivity tools to c...
22/10/2025

This article discusses pre-analytical best practices, recent innovations in MW design, and other productivity tools to consider throughout the workflow, explaining how these factors collectively enhance analytical accuracy and data integrity.

Read more:

This article discusses pre-analytical best practices, recent innovations in MW design, and other productivity tools to consider throughout the workflow, explaining how these factors collectively enhance analytical accuracy and data integrity.

This “Chemometrics in Spectroscopy” column traces the historical and technical development of machine learning methods, ...
22/10/2025

This “Chemometrics in Spectroscopy” column traces the historical and technical development of machine learning methods, emphasizing their application in calibrating spectrophotometers for predicting measured sample chemical or physical properties—particularly in near-infrared (NIR), infrared (IR), Raman, and atomic spectroscopy—and explores how AI and deep learning are reshaping the spectroscopic landscape.

Read more here: https://hubs.li/Q03P57Kw0

In this interview segment, Lingyan Shi of the University of California, San Diego recaps the award technical session tha...
22/10/2025

In this interview segment, Lingyan Shi of the University of California, San Diego recaps the award technical session that she chaired at the SciX Conference, highlighting the speakers she invited and what they discussed.

Watch the interview here: https://hubs.li/Q03PyTB60

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