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A collaborative trial involving 16 participants from nine European countries was conducted within the NORMAN network in efforts to harmonise suspect and non-target screening of environmental contaminants in whole fish samples of bream (Abramis brama). Participants were provided with freeze-dried, homogenised fish samples from a contaminated and a reference site, extracts (spiked and non-spiked) and reference sample preparation protocols for liquid chromatography (LC) and gas chromatography (GC) coupled to high resolution mass spectrometry (HRMS). Participants extracted fish samples using their in-house sample preparation method and/or the protocol provided. Participants correctly identified 9-69 % of spiked compounds using LC-HRMS and 20-60 % of spiked compounds using GC-HRMS. From the contaminated site, suspect screening with participants' own suspect lists led to putative identification of on average ∼145 and ∼20 unique features per participant using LC-HRMS and GC-HRMS, respectively, while non-target screening identified on average ∼42 and ∼56 unique features per participant using LC-HRMS and GC-HRMS, respectively. Within the same sub-group of sample preparation method, only a few features were identified by at least two participants in suspect screening (16 features using LC-HRMS, 0 features using GC-HRMS) and non-target screening (0 features using LC-HRMS, 2 features using GC-HRMS). The compounds identified had log octanol/water partition coefficient (K) values from -9.9 to 16 and mass-to-charge ratios (m/z) of 68 to 761 (LC-HRMS and GC-HRMS). A significant linear trend was found between log K and m/z for the GC-HRMS data. Overall, these findings indicate that differences in screening results are mainly due to the data analysis workflows used by different participants. Further work is needed to harmonise the results obtained when applying suspect and non-target screening approaches to environmental biota samples.
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http://dx.doi.org/10.1016/j.envint.2023.108288 | DOI Listing |
J Chromatogr A
September 2025
Luoyang R&D Center of Technology, SINOPEC Engineering (Group) Co., Ltd, Luoyang 471003, China. Electronic address:
Conventional one-dimensional gas chromatography methods for gasoline quality monitoring require separate analyses for different component classes, limiting analytical efficiency and unconventional additive detection. This study presents a comprehensive two-dimensional gas chromatography with flame ionization detection (GC × GC-FID) platform enabling simultaneous quantification of regulated components and rapid screening of unconventional additives in a single analytical run. The method achieved excellent agreement with ASTM standards and high repeatability for BTEX (benzene, toluene, ethylbenzene, and xylenes) and oxygenates in gasoline.
View Article and Find Full Text PDFAnal Bioanal Chem
September 2025
Saer Samanipour, University of Amsterdam, Faculty of Science, Van't Hoff Institute for Molecular Sciences, 1090 GD, Amsterdam, The Netherlands.
Front Plant Sci
August 2025
Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Advanced Production and Intelligent Systems (ARISE), Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
The increasing frequency of extreme weather events affects ecosystems and threatens food production. The reduction of chemical pesticides, together with other ecological approaches, is crucial to more sustainable agriculture. Plant-parasitic nematodes (PPN), especially root-knot nematodes (RKN), spp.
View Article and Find Full Text PDFAnal Chim Acta
October 2025
Instituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil. Electronic address:
Background: The increasing prevalence of methicillin-resistant Staphylococcus aureus (MRSA), particularly due to the presence of the mecA gene, emphasizes the need for decentralized, rapid, and accurate molecular diagnostics. While qPCR remains the gold standard method, its dependence on expensive equipment and centralized labs limits accessibility in field or point-of-care (POC) settings. To address this limitation, we developed an Electrochemical Loop-Mediated Isothermal Amplification (E-LAMP) platform for rapid, low-cost, and highly sensitive detection of the mecA gene, using 3D-printed electrodes and a smartphone-controlled potentiostat.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Crop Protection Division, Indian Council of Agricultural Research (ICAR)- Indian Institute of Wheat and Barley Research, Karnal, Haryana, India.
The rice weevil ( L.) is one of the most destructive pests of stored cereal grains, particularly wheat, leading to considerable post-harvest losses and posing serious threats to global food security and international trade. Rapid and accurate identification of infestations is essential for implementing timely pest management strategies and adhering to phytosanitary regulations.
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