Results 171 to 180 of about 2,561 (192)

Simple and Rapid HPLC-ICP-MS Method for the Simultaneous Determination of Cr(III) and Cr(VI) by Combining a 2,6-Pyridinedicarboxylic Acid Pre-Complexation Treatment. [PDF]

Mass Spectrom (Tokyo)
Ito A, Isamoto K, Morishita Y, Tanimizu M.   +3 more
europepmc   +1 more source

New Potential Haematite and Magnetite Reference Materials for Iron Isotope Measurements by Solution Nebulisation MC‐ICP‐MS and by In Situ ns‐LA‐MC‐ICP‐MS

Geostandards and Geoanalytical Research, Volume 50, Issue 2, Page 407-418, June 2026.
Key Points Two haematite and magnetite materials were developed as potential Fe isotope reference materials. Solution and in situ LA‐MC‐ICP‐MS analyses yielded consistent δ56Fe values. Both materials are isotopically homogeneous and suitable for in situ Fe isotope calibration.
Jialu Yu, Marcus Oelze, Mathias Schannor, Simon Nordstad, Jochen Vogl   +4 more
wiley   +1 more source

Water pollution and childhood leukaemia risk: a systematic review. [PDF]

Ecancermedicalscience
Nuñez-Enriquez JC, Medina-León D, Tinoco-Montejano D, Jacuinde-Trejo K, Flores-Lujano J, Gómez-Rivera L, Chávez-Martínez O, García-Alvarado FJ, Blanco-Padilla P, Pelayo R.   +9 more
europepmc   +1 more source

Investigation into the delivery and evaluation of a unique Avena sativa (Oat) Lipid Extract on skin barrier using LC‒MS/MS, Raman spectroscopy, immunostaining analysis and skin efficacy

International Journal of Cosmetic Science, Volume 48, Issue 3, Page 500-517, June 2026.
Abstract Objectives Oat lipids are rich in ceramides. In this investigation, we analysed the delivery of a specific Oat Lipid Extract derived from Avena sativa, comprising ‘skin identical’ ratios of fatty acids, ceramides and cholesterol/sterol. This investigation is the first reported investigation of oat lipids utilizing Raman spectroscopy for the ...
E. Gombert, C. Dewis
wiley   +1 more source

Biases and blind spots in the global research agenda on metallic pollution and bees. [PDF]

Naturwissenschaften
Martins FMT, de Azevedo CS, Rocha DG, de Melo DHA, Ribeiro MC, de Moura SAL.   +5 more
europepmc   +1 more source

An unsupervised machine learning approach to iron meteorite classification

Meteoritics &Planetary Science, Volume 61, Issue 6, Page 997-1011, June 2026.
Abstract Iron meteorites are usually classified manually using bivariate elemental plots. This study extends iron meteorite classification into multi‐element space. We present a computational method for the classification of iron meteorites by applying unsupervised machine learning using density‐based cluster analysis.
Louis‐Alexandre Lobanov, Hilary Downes
wiley   +1 more source

Isoscapes as a Regional-Scale Tool for Tracing Groundwater Uranium Cycling in the Northern Plains, United States. [PDF]

Environ Sci Technol
Mitra A, Hughes R, Zacher T, O'Leary R, Sbardellati B, Stahl M, Red Cloud R, Azad S, Ross J, Bostick BC, Chillrud SN, Halliday AN, Navas-Acien A, Schilling K, Basu A.   +14 more
europepmc   +1 more source

A Simple Method for Triple Stable Isotope Analysis of Cellulose, Sugar, and Bulk Organic Matter-Advances and Limitations. [PDF]

Rapid Commun Mass Spectrom
Saurer M, Oettli M, Lehmann MM.
europepmc   +1 more source

Interactive effects of silicon formulations, concentrations, and foliar application timing on rice physiology and yield. [PDF]

Front Plant Sci
Velasco E, Aranda X, Houben F, Ribes J, Araus JL, García-Caparros P.   +5 more
europepmc   +1 more source

Stable isotope and multi-elemental analysis combined with statistical modeling for saffron origin authentication. [PDF]

Food Chem X
Terro C, Strojnik L, Potočnik D, Hudobivnik MJ, Mazej D, Bontempo L, Eddabdouby M, Amenzou NE, Moncef B, Kelly S, Ogrinc N.   +10 more
europepmc   +1 more source