The following qualitative screening and quantitative determination of 201 pesticides present a detailed optimization making use of design of experiments (DoE). The post-targeted screening took advantage of an upgradeable database to extend the survey further to perform a standard-free novel quantitation by liquid chromatography high resolution mass spectrometry (LC-HRMS). The fine tuning of instrumental parameters allowed the best method selectivity, sensitivity and reproducibility for the compounds under study. Among the factors considered, the heated electrospray source (HESI), the sample composition and the MS/MS acquisition modes were assessed, including the all-ion fragmentation (AIF) mode and different versions of the variable data independent acquisition (vDIA). The results of the optimization showed that selected HESI conditions, a methanol/water (1:1) sample composition and a vDIA acquisition method increased the signal for most compounds with a remarkable benefit on signal shape and intensity. The method showed adequate analytical performance when assessed in local produce.
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http://dx.doi.org/10.1016/j.foodchem.2021.130714 | DOI Listing |
Trials
December 2024
Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Background: Autistic people commonly have physical and mental health conditions. They also frequently experience barriers to accessing healthcare, contributing to problems identifying and treating health conditions. These factors may lead to increased and earlier morbidity and lower average life expectancy for autistic people.
View Article and Find Full Text PDFBrain Behav
January 2025
Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Background: Previous studies on neuroimaging findings in Alzheimer's disease (AD) patients with hallucinations and delusions have yielded inconsistent results. We aimed to systematically review neuroimaging findings of delusions and hallucinations in AD patients to describe the most prominent neuroimaging features.
Methods: We performed a comprehensive search in three online databases, including PubMed, Scopus, and Web of Science in June 2023.
Soc Sci Med
December 2024
Department of Psychiatry, Faculty of Medicine, University of British Columbia, B.C. Mental Health and Substance Use Services, Provincial Health Services Authority, Vancouver, BC, Canada.
This study explores the multifaceted challenges experienced by individuals with schizophrenia during extreme heat, highlighting the interplay between individual factors, social dynamics, and environmental influences. Despite making up only 1% of the Canadian population, individuals diagnosed with schizophrenia comprised 16% (n = 97) of the deaths during the 2021 heat dome in Western Canada. However, to date, there exists scant qualitative research that explore the direct experiences and the intricacies of intersecting factors faced by individuals with schizophrenia during extreme heat events.
View Article and Find Full Text PDFBiosens Bioelectron
December 2024
School of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China.
Conventional fluorescent probes with weak fluorescence signals and aggregation-caused quenching effect limits in biomarkers detection, thus requiring many labeled target molecules to combine their output to achieve higher signal-to noise. Here, we harness a "immune-sandwich" based affinity sensor with development of ultrabright aggregation-induced emission luminogens (AIEgens) microspheres as signal reporter. The fabricated sensor can simultaneously permit triple detection formats by naked eye, spectrum, and computer vision counting (termed "NeSCV sensor").
View Article and Find Full Text PDFComput Biol Med
December 2024
Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, College of Computer and Data Science, Fuzhou University, Fuzhou 350116, China; Engineering Research Center of Big Data Intelligence, Ministry of Education, Fuzhou 350116, China. Electronic address:
Accurate polyp segmentation is crucial for early diagnosis and treatment of colorectal cancer. This is a challenging task for three main reasons: (i) the problem of model overfitting and weak generalization due to the multi-center distribution of data; (ii) the problem of interclass ambiguity caused by motion blur and overexposure to endoscopic light; and (iii) the problem of intraclass inconsistency caused by the variety of morphologies and sizes of the same type of polyps. To address these challenges, we propose a new high-precision polyp segmentation framework, MEFA-Net, which consists of three modules, including the plug-and-play Mask Enhancement Module (MEG), Separable Path Attention Enhancement Module (SPAE), and Dynamic Global Attention Pool Module (DGAP).
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