Environmental Analysis

In this paper, a one-time digestion method for the determination of arsenic (As), antimony (Sb), selenium (Se), and mercury (Hg) in geological samples was established.

In this peer-reviewed article, the research team presents a kinetic fluorescence method suitable for the determination of trace Ni(II) in water samples.

Researchers from the University of Szczecin and other Polish institutions have applied the power of machine learning, employing various models, to forecast optimal microbial strains for mitigating drought impacts on crops, marking a leap toward sustainable agriculture to ensure global food security.

Scientists from Zhejiang A&F University and Huzhou University in China recently created a new time series prediction model that combines linear and nonlinear prediction methods.

Jörg Feldmann, a professor at the University of Graz, spoke about his team’s research using non-target analysis to analyze per- and polyfluorinated substances (PFAS).

Scientists have created a new means of identifying insect species using ATR-FTIR spectroscopy and machine learning methods.

In a new study, a group of scientists investigated the potassium isotopic composition of different plant reference materials using multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS).

Scientists from Xi’an Jiaotong University in Xi’an, China measured the effects of ablation craters on geomaterials that occur as a side effect of laser-induced breakdown spectroscopy (LIBS).

Using single-cell inductively coupled plasma mass spectrometry (SC-ICP-MS), scientists from Kanazawa, Japan created a new method for detecting cadmium in marine phytoplankton.

Webinar Date/Time: Tue, Dec 12, 2023 2:00 PM EST

Scientists in Ireland recently tested the effectiveness of different machine learning (ML) methods for measuring contamination levels on wind turbine blades.

Felipe Bachion de Santana of Teagasc in Wexford, Ireland, is exploring new ways to monitor soil quality through using spectroscopic techniques. Spectroscopy spoke to him about his team’s work in monitoring the quality of soil to improve agricultural efficiency.

A team of scientists have used airborne lidar mapping to study Mayan architecture, seeing how certain buildings’ construction can hint at the social status of their inhabitants.

A novel intelligent inversion model integrating multiscale fractal analysis, PCA, and machine learning techniques (RF and SVM) was devised to accurately estimate soil organic matter (SOM) using hyperspectral data.

At the 2023 Gulf Coast Conference, Spectroscopy spoke with Elena Hagemann of Metrohm USA, about spectroscopy in relation to petrochemicals. This interview was one of four conducted live at GCC 2023.

Webinar Date/Time: Thu, Nov 16, 2023 11:00 AM EST

Andrew Schmitz, an application scientist at ThermoFisher Scientific, held a workshop at the Gulf Coast Conference in Galveston, Texas, focused on real-time lubricant analysis.

Webinar Date/Time: Tue, Oct 17, 2023 1:00 PM EDT

Manufacturing advanced electronic devices requires the production of high-quality semiconductors and integrated circuit chips. In this article, the authors explain how GC, when coupled with ICP-MS, enables the detection of elements that are essential in semiconductor production.

Webinar Date/Time: Europe: Thursday, September 28, 2023, at 1 pm BST | 2 pm CEST North America: Thursday, September 28, 2023, at 1 pm PDT | 4 pm EDT Asia: Friday, September 29, 2023, at 9:30 am IST | 12 pm CST | 1 pm JST | 2 pm AEDT

A recent study explains how laser-induced breakdown spectroscopy (LIBS) is better suited for rapidly quantifying heavy metals in plastics than traditional methods such as inductively couple plasma–mass spectrometry (ICP-MS) and atomic absorption spectroscopy (AAS).

Webinar Date/Time: Thu, Sep 14, 2023 10:00 AM EDT

In this interview, Peter Griffiths, 2023 recipient of the Ellis R. Lippincott Award, reflects over his storied career, as well as his most recent work, which focuses on measuring fine airborne particles within mining environments.

Webinar Date/Time: Tue, Sep 12, 2023 11:00 AM EDT