EPISODE · Jan 12, 2026 · 16 MIN
614. 基于电子鼻技术的室内霉菌检测与识别研究
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这项研究探讨了利用电子鼻技术来快速且低成本地检测与识别室内霉菌的方法。研究人员采用二氧化锡纳米线作为核心感测材料，针对室内常见的查氏漆斑霉和球毛壳霉进行了实验分析。通过对比不同的机器学习算法，研究发现传统的线性判别分析表现平平，但经过改进的集成分类模型能达到极高的识别准确率。该技术不仅能灵敏地捕捉霉菌释放的挥发性有机化合物，还能在不同生长基质上准确区分霉菌种类。这一进展为实现自动化、客观的室内空气质量监测提供了高效的解决方案。内容来源：https://advanced.onlinelibrary.wiley.com/doi/10.1002/adsr.202500124
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614. 基于电子鼻技术的室内霉菌检测与识别研究
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