Environmental Analysis

In a recent journal article, scientists wrote about on the impact machine learning algorithms have in measuring water quality, and how this technology can be evolved further.

Scientists from East China Jiaotong University recently tested different sample selection methods using near-infrared (NIR) spectral information entropy as a similarity criterion.

The company’s new service will provide expedited testing to customer around the world.

Here are the top five articles that the editors of Spectroscopy published this week.

In a study led by scientists from Northwest University in Xi’an, China, carbon quantum dots were tested on how well they can detect hypochlorite and aid in cellular imaging.

In a recent study from Ghent University and Charles University, scientists analyzed layered manganese oxide structures using different Raman spectroscopy techniques.

In a recent study, researchers from China investigated the effects of incorporating environmental markers into toxicity prediction models.

Metrohm USA announced Katelyn Michael as the 2024 winner of its Young Chemist Award for her work on the degradation of perfluorooctanesulfonic acid (PFOS).

Heavy metals in soil remains one of the most pressing issues in environmental conservation efforts. According to the authors of a new study, laser-induced breakdown spectroscopy (LIBS) can contribute to the solution.

Yan’an University researchers publish findings in Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy about three new luminescent coordination polymers that could be used in environmental protection efforts.

A new study presents how the isoquinoline core (IQ) could be used to better detect mercury ions in the environment and help safeguard human health.

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.

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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.