AI Article Synopsis
Article Abstract
We present a comprehensive chemical and mass spectrometric method to determine boron isotopic compositions of plant tissue. The method including dry ashing, a three-step ion chromatographic boron-matrix separation, and (11)B/(10)B isotope ratio determinations using the Cs(2)BO(2)(+) graphite technique has been validated using certified reference and quality control materials. The developed method is capable to determine δ(11)B values in plant tissue down to boron concentrations of 1 mg/kg with an expanded uncertainty of ≤1.7‰ (k = 2). The determined δ(11)B values reveal an enormous isotopic range of boron in plant tissues covering three-quarters of the natural terrestrial occurring variation in the boron isotopic composition. As the local environment and anthropogenic activity mainly control the boron intake of plants, the boron isotopic composition of plants can be used for food provenance studies.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1021/ac102836h | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Rapid rise in atmospheric CO marked the end of the Late Palaeozoic Ice Age.
Nat Geosci
January 2025
Department of Earth Sciences 'Ardito Desio', Università degli Studi di Milano, Milan, Italy.
Atmospheric CO is thought to play a fundamental role in Earth's climate regulation. Yet, for much of Earth's geological past, atmospheric CO has been poorly constrained, hindering our understanding of transitions between cool and warm climates. Beginning ~370 million years ago in the Late Devonian and ending ~260 million years ago in the Permian, the Late Palaeozoic Ice Age was the last major glaciation preceding the current Late Cenozoic Ice Age and possibly the most intense glaciation witnessed by complex lifeforms.
View Article and Find Full Text PDFDelayed onset of ocean acidification in the Gulf of Maine.
Sci Rep
January 2025
Department of Botany, Smithsonian Institution, National Museum of Natural History, Washington, DC, 20013, USA.
The Gulf of Maine holds significant ecological and economic value for fisheries and communities in north-eastern North America. However, there is apprehension regarding its vulnerability to the effects of increasing atmospheric CO. Substantial recent warming and the inflow of low alkalinity waters into the Gulf of Maine have raised concerns about the impact of ocean acidification on resident marine calcifiers (e.
View Article and Find Full Text PDFCurrent research trends and hotspots of boron neutron capture therapy: a bibliometric and visualization analysis.
Front Oncol
December 2024
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Purpose: This study aimed to describe the trends, current hotspots, and future directions in boron neutron capture therapy (BNCT) through a bibliometric analysis.
Methods: Articles related to BNCT published before 2023-12-31 were retrieved from the Web of Science Core Collection database. VOSviewer, R, and CiteSpace were used for bibliometric analysis and visualization.
Competing Photocleavage on Boron and at the -Position in BODIPY Photocages.
J Org Chem
January 2025
Department of Organic Chemistry and Biochemistry, Rud̵er Bošković Institute, Bijenička Cesta 54, Zagreb 10 000, Croatia.
BODIPY photocages (photocleavable protective groups) have stirred interest because they can release biologically active cargo upon visible light excitation. We conducted combined theoretical and experimental investigations on selected BODIPY photocages to elucidate the mechanism of the competing photocleavage at the boron and -position. Based on the computations, the former reaction involves elongation of the B-C bond, yielding a tight borenium cation and methyl anion.
View Article and Find Full Text PDFLarge scale Raman spectrum calculations in defective 2D materials using deep learning.
J Phys Condens Matter
January 2025
Département de Physique et Institut Courtois, Université de Montréal, Montréal, Canada.
Article Synopsis
- The authors present a new machine learning workflow designed to predict how defects affect the Raman response of 2D materials.
- By integrating various techniques, including machine-learned potentials and a density of states method, they can simulate large systems with tens of thousands of atoms.
- They validate their approach by applying it to isotopic graphene and defective hexagonal boron nitride, finding their predictions align well with experimental data, suggesting potential for further studies in solid-state physics.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!