Fish and fish products are one of the most important food sources of high commercial interest. The global food trade and the associated risks are constantly presenting new challenges to consumer protection and public authorities, which, among other things, demand state-of-the-art analytical methods to ensure food authenticity. The establishment of MS-based strategies plays a decisive role alongside the (further) development of ELISA- or DNA-oriented methods. Methods: In the present work, therefore, the development and in-house validation of an LC-MS and LC-MS/MS-based assay for authenticity testing of certain fish species is described. Based on the execution of a validated bottom-up LC-electrospray-MS and MS/MS assay and multivariate analysis, the commercially available species (red snapper) and spp. (redfish) are distinguished from each other, whereas an additional 68 samples [nine additional marine species such as pangasius (), salmon (), turbot (), plaice (), sole (), lemon sole (), halibut (), red salmon (), and great scallop ()] served as blinded negative controls to ensure the specificity of the assay. Conclusions and Highlights: A promising LC-MS and LC-MSMS based assay has been developed that could enable the detection of fish fraud at the protein level in the future.
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http://dx.doi.org/10.5740/jaoacint.19-0061 | DOI Listing |
J Clin Med
January 2025
Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
Creutzfeldt-Jakob disease (CJD) is a rare, fatal, and transmissible neurodegenerative disorder caused by prion proteins. Handling specimens from individuals with suspected or confirmed cases presents a safety challenge to hospital workers including clinical laboratory staff. As no national guidelines exist, the clinical pathology laboratory must establish protocols for handling these specimens to ensure sufficient protective measures.
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December 2024
Vascular Surgery, Cardio-Thoracic and Vascular Department, University-Hospital of Parma, 43126 Parma, Italy.
This study aims to develop and validate a standardized methodology for creating high-fidelity, custom-made, patient-specific 3D-printed vascular models that serve as tools for preoperative planning and training in the endovascular treatment of peripheral artery disease (PAD). Ten custom-made 3D-printed vascular models were produced using computed tomography angiography (CTA) scans of ten patients diagnosed with PAD. CTA images were analyzed using Syngo.
View Article and Find Full Text PDFJ Cheminform
January 2025
Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
The Caco-2 cell model has been widely used to assess the intestinal permeability of drug candidates in vitro, owing to its morphological and functional similarity to human enterocytes. While Caco-2 cell assay is considered safe and cost-effective, it is also characterized by being time-consuming. Therefore, computational models that achieve high accuracies in predicting Caco-2 permeability are crucial for enhancing the efficiency of oral drug development.
View Article and Find Full Text PDFProtoplasma
January 2025
CSIR-Central Institute of Medicinal and Aromatic Plants, P.O. CIMAP, Lucknow, 226015, Uttar Pradesh, India.
Catharanthus roseus leaves have been traditionally described to possess potent antidiabetic activity and some leaf-specific alkaloids, including vindoline, have been studied for their antidiabetic potential. The aim of the present study was to validate the antidiabetic property of the plant with special reference to vindoline. An Ayurveda-based method was used to prepare the Swaras [leaf juice extract (LJE)] of three familial C.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
Institute of Biomedical Manufacturing and Life Quality Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address:
Accurate segmentation of the inferior alveolar nerve (IAN) within Cone-Beam Computed Tomography (CBCT) images is critical for the precise planning of oral and maxillofacial surgeries, especially to avoid IAN damage. Existing methods often fail due to the low contrast of the IAN and the presence of artifacts, which can cause segmentation discontinuities. To address these challenges, this paper proposes a novel approach that employs Non-Uniform Rational B-Spline (NURBS) curve shape priors into a multiscale attention network for the automatic segmentation of the IAN.
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