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Updated: Jul 2, 2026

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通过表面增强的拉曼光谱学和XGBoost算法识别Fusarium sambucinum物种复合物

Elem T S Caramês1, Venancio F de Moraes-Neto2, Bruno G Bertozzi2

  • 1Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, 05508-900 São Paulo, Brazil.

Food chemistry
|March 21, 2025
PubMed
概括

表面增强的拉曼光谱 (SERS) 与XGBoost机器学习相结合,可以准确识别Fusarium真菌物种. 这种快速方法为传统的,耗时的真菌识别技术提供了一个有希望的替代方案.

关键词:
可以解释的可解释性.黄金纳米颗粒的使用方法机器学习是机器学习.在这里,Python是Python.这就是 SERS SERS.

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