The present study successfully developed predictive models via PLS combined with MRS to analyze the contents of polysaccharides and ergosterol in T. matsutake mycelium. Optimum polysaccharides content analysis model displayed RMSECV of 0.0894 g/L and Rc of 0.9999, and a good prediction ability with RMSEP of 0.1009 g/L and Rp of 0.9863. For ergosterol contents analysis, the optimum PLS model also displayed well fitness and predictive ability indicating by higher Rc (0.9999) and Rp (0.9684), and lower RMSEP value (0.0230 g/L). Our present study provide a fast, accurate and non-destructive quantitative analysis method to detect the contents of polysaccharides and ergosterol in T. matsutake mycelium, which may also performed for quality control of other large fungi.
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机译：本研究通过PLS结合MRS成功开发了预测模型，以分析松茸菌丝体中多糖和麦角甾醇的含量。最佳多糖含量分析模型显示，RMSECV为0.0894 g / L，Rc为0.9999，RMSEP为0.1009 g / L，Rp为0.9863，具有良好的预测能力。对于麦角固醇含量分析，最佳PLS模型还显示出良好的适应性和预测能力，表明Rc（0.9999）和Rp（0.9684）较高，RMSEP值（0.0230 g / L）较低。本研究为检测松茸菌丝体中多糖和麦角甾醇的含量提供了一种快速，准确，无损的定量分析方法，也可用于其他大型真菌的质量控制。
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