Using several extraction methods including the QuEChERS approach, samples of both model and natural sediments were prepared. For the isolation of the target group of pesticides, two variants of two complementary extractions had to be used. Resulting extracts were analysed with LC/MS/MS. Selected methods furnishing the best results were validated in the terms of linearity and repeatability. Their limits of detection ranged from 0.1 to 2 ng/g, their limits of quantification from 1 to 6 ng/g and their recovery percentage varied between 46 % and 102 %.
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http://dx.doi.org/10.1007/s00128-012-0622-y | DOI Listing |
Int J Surg
January 2025
Senior researcher and lecturer at the Master Specialized Physical Therapy programs at Avans+, Breda, The Netherlands.
Introduction: Spastic Cerebral Palsy (CP) is a major cause of movement disorders in pediatric rehabilitation. Current treatments are often invasive and may lead to substantial discomfort. Extracorporeal shockwave therapy (ESWT) presents a potential alternative, offering a less invasive approach with a reduced side effect profile.
View Article and Find Full Text PDFInt J Surg
January 2025
Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Background: Adopting appropriate noninvasive radiological method is crucial for periodic surveillance of liver metastases in colorectal cancer (CRC) patients after surgery, which is closely related to clinical management and prognosis. This study aimed to prospectively enroll stage II-III CRC patients for the surveillance of liver metastases, and compare the diagnostic performance of contrast-enhanced CT (CE-CT) and non-enhanced abbreviated MRI (NE-AMRI) during this process.
Methods: 587 CRC patients undergoing radical resection of the primary tumor were evaluated by 1 to 3 rounds of surveillance tests, consisting of abdominal CE-CT and contrast-enhanced MRI (CE-MRI) within 7 days at 6-month intervals.
J Chem Inf Model
January 2025
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
View Article and Find Full Text PDFFood Addit Contam Part B Surveill
January 2025
Department of Chemical Sciences, Ariel University, Ariel, Israel.
This study employed QuEChERS extraction method combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to analyse honey samples from Albania for nitroimidazole residues. This approach allowed for the detection of trace-level residues, achieving sensitivity in the parts per billion range. Out of the 45 honey samples analysed, 6 exceeded the European Union's safety limit of 1 µg/kg, with metronidazole (MNZ) and dimetridazole (DMZ) being the predominant contaminants.
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