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通过使用碳、氢、氧和氮稳定同位素以及碳和氮含量进行地理溯源的质量控制。

Quality control of by using C, H, O, and N stable isotopes and C and N contents for geographical traceability.

作者信息

Zhang Ying, Jiang Kunxia, Chen Sisi, Wang Lina, Zhang Xun, Xu Wen, Yam Mun Fei, Wu Changhui, Xu Wei, Lin Yu

机构信息

College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.

Centre of Biomedical Research & Diversity of Development, Fujian University Traditional Chinese Medicine, Fuzhou, Fujian, China.

出版信息

Front Plant Sci. 2023 Oct 11;14:1234729. doi: 10.3389/fpls.2023.1234729. eCollection 2023.

Abstract

RATIONALE

() is a popular medicinal fungus that has been used in traditional medicine for decades, with its provenance influencing its medicinal and commercial worth. The amount of active ingredients and the price of from different origins vary significantly; hence, fraudulent labeling is common. Reliable techniques for geographic verification are urgently required to safeguard the interests of consumers, producers, and honest dealers. A stable isotope is widely acknowledged as a useful traceability technique and could be developed to confirm the geographical origin of .

METHODS

samples from various sources and in varying stages were identified by using C, D, O, N, C, and N contents combined with chemometric tools. Chemometric approaches, including PCA, OPLS-DA, PLS, and FLDA models, were applied to the obtained data. The established models were used to trace the origin of from various sources or track various stages of .

RESULTS

In the stage model, the C, D, O, N, C, and N contents were considered meaningful variables to identify various stages of (bud development, growth, and maturing) using PCA and OPLS-DA and the findings were validated by the PLS model rather than by only four variables ( C, D, O, and N). In the origin model, only four variables, namely C, D, O, and N, were used. PCA divided samples into four clusters: A (Zhejiang), B (Anhui), C (Jilin), and D (Fujian). The OPLS-DA model could be used to classify the origin of . The model was validated by other test samples (), and the external test () by PLS and FLDA models demonstrated external verification accuracy of up to 100%.

CONCLUSION

C, H, O, and N stable isotopes and C and N contents combined with chemometric techniques demonstrated considerable potential in the geographic authentication of , providing a promising method to identify stages of .

摘要

原理

(某种真菌名称)是一种广受欢迎的药用真菌,已在传统医学中使用了数十年,其产地会影响其药用价值和商业价值。不同产地的该真菌活性成分含量和价格差异显著;因此,标签欺诈现象很常见。迫切需要可靠的地理验证技术来保护消费者、生产者和诚信经销商的利益。稳定同位素被广泛认为是一种有用的可追溯技术,可用于确认该真菌的地理来源。

方法

通过使用碳 - 13(¹³C)、氘(D)、氧 - 18(¹⁸O)、氮 - 15(¹⁵N)、碳 - 14(¹⁴C)和氮 - 14(¹⁴N)含量并结合化学计量工具,对来自不同来源和不同阶段的样本进行鉴定。将包括主成分分析(PCA)、正交偏最小二乘法判别分析(OPLS - DA)、偏最小二乘法(PLS)和 Fisher 判别分析(FLDA)模型在内的化学计量方法应用于所获得的数据。所建立的模型用于追溯不同来源的该真菌的产地或追踪该真菌的不同阶段。

结果

在阶段模型中,碳 - 13(¹³C)、氘(D)、氧 - 18(¹⁸O)、氮 - 15(¹⁵N)、碳 - 14(¹⁴C)和氮 - 14(¹⁴N)含量被认为是使用主成分分析(PCA)和正交偏最小二乘法判别分析(OPLS - DA)识别该真菌不同阶段(芽发育、生长和成熟)的有意义变量,并且这些结果通过偏最小二乘法(PLS)模型得到验证,而不是仅通过四个变量(碳 - 13(¹³C)、氘(D)、氧 - 18(¹⁸O)和氮 - 15(¹⁵N))。在产地模型中,仅使用了四个变量,即碳 - 13(¹³C)、氘(D)、氧 - 18(¹⁸O)和氮 - 15(¹⁵N)。主成分分析(PCA)将该真菌样本分为四个簇:A(浙江)、B(安徽)、C(吉林)和 D(福建)。正交偏最小二乘法判别分析(OPLS - DA)模型可用于对该真菌的产地进行分类。该模型通过其他测试样本进行了验证,偏最小二乘法(PLS)和 Fisher 判别分析(FLDA)模型的外部测试表明外部验证准确率高达 100%。

结论

碳、氢、氧和氮稳定同位素以及碳和氮含量与化学计量技术相结合,在该真菌的地理鉴定方面显示出巨大潜力,为识别该真菌的阶段提供了一种有前景的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eef7/10598867/9799215fa2e6/fpls-14-1234729-g001.jpg

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