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In targeted metabolomic analysis using liquid chromatography-multiple reaction monitoring-mass spectrometry (LC-MRM-MS), hundreds of MRMs are performed in a single run, yielding a large dataset containing thousands of chromatographic peaks. Automation tools for processing large MRM datasets have been reported, but a visual review of chromatograms is still critical, as real samples with biological matrices often cause complex chromatographic patterns owing to non-specific, insufficiently separated, isomeric, and isotopic components. Herein, we report the development of new software, TRACES, a lightweight chromatogram browser for MRM-based targeted LC-MS analysis. TRACES provides rapid access to all MRM chromatograms in a dataset, allowing users to start ad hoc data browsing without preparations such as loading compound libraries. As a special function of the software, we implemented a chromatogram-level deisotoping function that facilitates the identification of regions potentially affected by isotopic signals. Using MRM libraries containing precursor and product formulae, the algorithm reveals all possible isotopic interferences in the dataset and generates deisotoped chromatograms. To validate the deisotoping function in real applications, we analyzed mouse tissue phospholipids in which isotopic interference by molecules with different fatty-acyl unsaturation levels is known. TRACES successfully removed isotopic signals within the MRM chromatograms, helping users avoid inappropriate regions for integration.
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http://dx.doi.org/10.3390/metabo12040354 | DOI Listing |
Foods
July 2025
College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
A chili pepper variety and origin detection system that integrates a field-programmable gate array (FPGA) with an electronic nose (e-nose) is proposed in this paper to address the issues of variety confusion and origin ambiguity in the chili pepper market. The system uses the AIRSENSE PEN3 e-nose from Germany to collect gas data from thirteen different varieties of chili peppers and two specific varieties of chili peppers originating from seven different regions. Model training is conducted via the proposed lightweight convolutional neural network ChiliPCNN.
View Article and Find Full Text PDFDue to the limited phase coverage and dispersion range that meta-atoms can provide, the aperture of a single achromatic metalens typically remains below the centimeter threshold. This limitation has spurred the development of a hybrid refractive-metalens system (HRMS), which can offer the potential to overcome the performance limitations of single metalens while maintaining a more compact form factor compared to conventional refractive lenses, thereby presenting significant application prospects. However, previous studies have predominantly regarded the metalens as a corrector for refractive optics, with limited exploration into the specific role it plays within the HRMS and how the degrees of freedom inherent to metalenses can be effectively leveraged.
View Article and Find Full Text PDFSci Rep
July 2025
Tandon School of Engineering, New York University, New York, USA.
Over recent years, deep learning-based profiling side-channel analysis has garnered significant attention in both academia and industry. Research in this field has progressed to address challenges such as hyperparameter tuning in deep learning models, with ensemble methods emerging as a noteworthy approach. However, these techniques have primarily been applied to classical symmetric ciphers like AES, while their adaptation to lightweight cryptographic primitives remains in its infancy and has been rarely explored.
View Article and Find Full Text PDFEcotoxicol Environ Saf
September 2025
Instituto de Ciencias Agrarias (ICA-CSIC), Calle Serrano 115dpdo, Madrid 28006, Spain; Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS-CSIC), Av. Reina Mercedes 10, Seville 41012, Spain. Electronic address:
The rising interest in Rooftop Agriculture (RA) has stemmed a demand for sustainable, lightweight alternatives to peat as plant growing media. Co-composting organic waste with biochar could represent a solution with reduced environmental impact. However, knowledge gaps remain regarding the food safety and environmental performance of these materials.
View Article and Find Full Text PDFJ Anim Sci
January 2025
Department of Veterinary Microbiology and Preventative Medicine, Iowa State University, Ames, IA 50011.
Beef-on-dairy crossbred steers are exposed to greater amounts of copper (Cu), which may impact their resiliency to disease. To test this, 26 weaned beef-on-dairy steers (95.2 ± 7.
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