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The rapid increase of genetically modified organisms (GMOs) entering the food and feed markets, and the contamination of donor (micro)organisms of transgenic elements make it more challenging for the existing GMO detection. In this study, we developed a high-throughput and contamination-removal GMO detection approach named as GmoDetector. GmoDetector targeted 64 common transgenic elements and 76 GMO-specific events collected from 251 singular GM events, and combined with next generation sequencing (NGS) and target enrichment technology to detect various GMOs. As a result, GmoDetector was able to exclude the donor (micro)organism contamination, and detect the authorized and unauthorized GMOs (UGMOs) in any forms of food or feed, such as processed or unprocessed. The sensitivity of GmoDetector is as low as 0.1% (GMO content), which has met the GMO labeling threshold for all countries. Therefore, GmoDetector is a robust tool for accurate and efficient detection of the authorized and UGMOs.
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http://dx.doi.org/10.1016/j.foodres.2021.110662 | DOI Listing |
BDJ Open
September 2025
Operative Dentistry & Endodontics, Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Background: Artificial Intelligence (AI) has become increasingly integrated into dental diagnostics, particularly for detecting carious lesions. While AI offers benefits such as improved accuracy and efficiency, its use raises important ethical concerns, including transparency, patient privacy, autonomy, diversity and accountability. This scoping review aims to identify these ethical concerns using a structured ethical framework.
View Article and Find Full Text PDFEur J Pharm Biopharm
September 2025
RaDes GmbH, Schnackenburgallee 114, 22525 Hamburg, Germany. Electronic address:
Polysorbate 20 (PS20) is one of the most commonly used non-ionic surfactants in cosmetics, pharmaceuticals and food products. Considered as biocompatible and non-irritating, it is further valued for its solubilising and protein stabilising properties. PS20 is manufactured through a multi-stage reaction of sorbitol with various fatty acids and ethylene oxide, resulting in a complex mixture of components with different molecular weights and polarity.
View Article and Find Full Text PDFCell Rep Med
September 2025
Translational Research Unit, Department of Cellular Therapy, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway. Electronic address:
Accurate identification of tumor-specific markers is vital for developing chimeric antigen receptor (CAR)-based therapies. While cell surface antigens are seldom cancer-restricted, their post-translational modifications (PTMs), particularly aberrant carbohydrate structures, offer attractive alternatives. Among these, the sialyl-Tn (STn) antigen stands out for its prevalent presence in various epithelial tumors.
View Article and Find Full Text PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
View Article and Find Full Text PDFAccid Anal Prev
September 2025
Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering Ministry of Education, Tongji University, Shanghai 201804, China. Electronic address:
In future traffic environments dominated by highly autonomous vehicles (AVs), pedestrians may face challenges in accurately interpreting AV behavior, thereby potentially increasing the risk of pedestrian-AV interactions. External human-machine interfaces (eHMIs) have been proposed to facilitate communication between AVs and pedestrians; however, comprehensive evaluations using objective data from real-world interactions are limited. This study developed a systematic evaluation framework grounded in the ISO 9241-11 standard, integrating four key indicators: decision accuracy, comprehensibility, decision efficiency, and perceived safety.
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