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使用高光谱成像和混合组合学习进行非侵入性多类牛奶污染物的检测

Muhammad Iqbal1, Muhammad Aqeel2, Ahmed Sohaib2

  • 1School of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.

Journal of dairy science
|September 5, 2025
PubMed
概括

检测牛奶污染对公共健康至关重要. 这项研究引入了使用高光谱成像的混合组合学习方法,实现了96%的准确性,用于实时的非侵入性食品安全分析.

关键词:
组合学习超光谱成像牛奶的质量非侵入式检测模式识别

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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...