快速识别临床相关的坎迪达菌种. 由I-dOne软件使用减弱总反射率里埃变换红外光谱 (ATR-FTIR) 光谱
Iacopo Franconi1, Roberta Fais1, Cesira Giordano2
1Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Via San Zeno 37-39, 56127 Pisa, Italy.
Journal of fungi (Basel, Switzerland)
|January 24, 2025
概括
使用I-dOne软件的减弱总反射度里埃变换红外光谱 (ATR-FTIR) 谱学可以准确识别*Candida*物种. 这种技术为例行微生物鉴定提供了可靠的替代方案,与MALDI-TOF MS. MS. 达到了95.8%的一致性.
科学领域:
- 微生物学 微生物学
- 频谱学是一种光谱学.
- 医学诊断 医学诊断 医学诊断
背景情况:
- 准确识别 *Candida* 种类对于有效的抗真菌治疗和感染控制至关重要.
- 飞行质谱的矩阵辅助激光脱吸/电离时间 (MALDI-TOF MS) 是微生物识别的标准方法.
- 减弱总反射率里埃变换红外光谱 (ATR-FTIR) 提供了一种快速的,独立于培养的微生物分析方法.
研究的目的:
- 评估ATR-FTIR光谱学的性能,使用I-dOne软件 (2.0版本),用于识别*Candida*物种.
- 为了比较ATR-FTIR光谱学的准确性与已建立的MALDI-TOF MS方法.
- 评估I-dOne软件及其光谱数据库对于例行 *Candida* 识别的实用性.
主要方法:
- 从284个 *Candida* 隔离物中获得了ATR-FTIR光谱.
- 使用更新的I-dOne软件 (2.0版本) 分析了Spectra,并与其光谱数据库进行了比较.
- 鉴定结果与从MALDI-TOF获得的结果进行了比较.
主要成果:
- 在属级别实现了100%正确的 *Candida* 隔离物的识别.
- 总体上,物种鉴定与MALDI-TOF MS结果 (95.8%的一致性) (272/284个单独物种) 相一致.
- 在所有79个测试的隔离物种中, *Candida parapsilosis* 种群复合物被正确地识别到物种水平;只有4.2%的隔离物种在物种水平上被错误识别.
结论:
- 当ATR-FTIR光谱与I-dOne软件及其光谱数据库一起使用时,它在识别频繁隔离的*Candida*物种方面表现出高的诊断性能.
- 这种技术作为一种可行的,准确的替代MALDI-TOFMS在临床实验室的例行 *Candida* 识别.
- 更新后的I-dOne软件提高了ATR-FTIR的可靠性,可以在*Candida*属内精确地进行物种级别的分化.
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