Molecular Spectroscopy

A recent study demonstrated the utility of Raman spectroscopy and machine learning (ML) algorithms to classify plastic types found in waste of electric and electronic equipment (WEEE) streams.

A recent study by Southeast University researchers presented a cost-effective, high-accuracy solution for pharmaceutical quality control.

Researchers in China have developed a rapid, non-destructive Raman spectroscopy method that accurately detects active components in complex drug formulations by combining advanced algorithms to eliminate noise and fluorescence interference.

Tianjin University researchers develop an advanced AI model to enhance food safety.

A compilation of some of the top articles from our Molecular Spectroscopy Workbench column is presented.

HORIBA has released three new products including tools for Raman screening, advanced molecular fingerprinting, and atomic fingerprinting. Two of these new tools will be highlighted during Pittcon.

In this column, I describe what I believe may be the origin of this fluorescence emission and support my conjecture with some measurements of polycyclic aromatic hydrocarbons (PAHs). Understanding the origin of these interfering backgrounds may enable you to design experiments with less interference, avoid the laser illuminations that make things worse, or both.

Last year, we released a content series titled “Advancing Agriculture for Future Generations.” Here, we compile some of the latest studies in this space.

A recent study out of China explored using a new continuous solid-phase extraction spectroscopy (CSPES) device to monitor water quality.

To improve the robustness and accuracy of logistic regression identification method, a new Raman spectroscopy identification method was proposed that combines a distributionally robust optimization technique and fused lasso technique with logistic regression. Then, Raman spectroscopy was used to analyze two types of dairy products that were collected for anti-jamming identification testing to verify the effectiveness of the new method.

A recent study from researchers in Brazil examined a-pinene’s chemical composition using mid-infrared (MIR) Fourier transform infrared (FT-IR) spectroscopy.

A recent study from Shanghai University demonstrated aa novel method for identifying and quantifying animal-origin milk powders.

A recent study demonstrates the successful development of in-line monitoring techniques using Raman spectroscopy and advanced modeling for titanium dioxide-free tablet coatings.

A recent study examined how Raman spectroscopy, when combined with machine learning (ML), can detect and analyze fertilizer nutrients.

A recent study looked at how spectroscopy can be used to differentiate ink based on its color and brand.

Researchers have developed a novel three-step hybrid variable selection strategy, SiPLS-RF(VIM)-IMIV, to enhance the accuracy and efficiency of soil potassium measurement using near-infrared spectroscopy, offering significant advancements for precision agriculture and real-time soil monitoring.

A recent study from China explored a new, non-destructive method combining terahertz time-domain spectroscopy (THz-TDS) and machine learning to accurately classify wheat gluten strength.

Because there is a different Raman signature for each of the polymorphs as well as the contaminants, Raman microscopy is an ideal tool for analyzing the structure of these materials as well as identifying possible contaminants that would also interfere with performance.

This year-in-review showcases the standout technical articles, compelling interviews, and key news stories that defined the pages of Spectroscopy. In this year in review, the editors of Spectroscopy highlight some of the top published technical articles, interviews, and news content published.

A recent study examined the role that Raman spectroscopy is playing in disease diagnosis.

A recent study reveals widespread and increasing microplastic contamination in the soils of Phoenix and the Sonoran Desert, highlighting significant environmental concerns and the need for further research into their sources and impacts.

Researchers from Northwest University in Xi’an, China, developed a novel portable Raman spectroscopy method with advanced chemometric techniques to accurately quantify harmful polycyclic aromatic hydrocarbons (PAHs) in oily sludge.

Researchers from India developed a new micro-Raman spectroscopy system to detect and analyze microplastics.

A recent study examined the use of surface-enhanced Raman spectroscopy (SERS) in detecting pollutants and pesticide residues in fruits and vegetables.

A recent study published in Sustainability highlighted the utility of Raman spectroscopy in the development of digital agriculture.

Top articles published this week include a peer-reviewed article that discuss two multivariate calibration algorithms for the spectrophotometric analysis of a drug containing antazoline hydrochloride (AN) and naphazoline hydrochloride (NP), an article about chemometric calibrations, and a feature about the 2024 Emerging Leader in Molecular Spectroscopy awardee.

As a preview to the SciX 2024 conference, Spectroscopy sat down with Ioan Notingher to discuss about what he is looking forward to at SciX 2024.

This year’s Emerging Leader in Molecular Spectroscopy Award recipient is Joseph P. Smith of Merck, whose research is significantly influencing pharmaceutical process development through his work in various spectroscopic techniques, biocatalysis, protein engineering, vaccine production, and advanced data analysis methods.

In the final part of our interview with Nick Stone, he discusses standardizing Raman technology across multiple clinical centers, and what it means to him to be attending the SciX Conference as the recipient of the Charles Mann award.

In part 2 of our conversation with Nick Stone, we discuss topics such as machine learning (ML) and spectrometer transferability in clinical settings.