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利用超快速液相色谱和傅里叶变换红外光谱数据融合方法对 的地理鉴定。

Geographical Authentication of by a Data Fusion Method Combining Ultra-Fast Liquid Chromatography and Fourier Transform Infrared Spectroscopy.

机构信息

Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.

College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming 650500, China.

出版信息

Molecules. 2019 Apr 3;24(7):1320. doi: 10.3390/molecules24071320.

DOI:10.3390/molecules24071320
PMID:30987245
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6479993/
Abstract

is a medicinal and edible fungi, which is consumed widely. The epidermis and inner part of its sclerotium are used separately. quality is influenced by geographical origins, so an effective and accurate geographical authentication method is required. Liquid chromatograms at 242 nm and 210 nm (LC and LC) and Fourier transform infrared (FTIR) spectra of two parts were applied to authenticate the geographical origin of cultivated combined with low and mid-level data fusion strategies, and partial least squares discriminant analysis. Data pretreatment involved correlation optimized warping and second derivative. The results showed that the potential of the chromatographic fingerprint was greater than that of five triterpene acids contents. LC-FTIR low-level fusion took full advantage of information synergy and showed good performance. Further, the predictive ability of the FTIR low-level fusion model of two parts was satisfactory. The performance of the low-level fusion strategy preceded those of the single technique and mid-level fusion strategy. The inner parts were more suitable for origin identification than the epidermis. This study proved the feasibility of the data fusion of chromatograms and spectra, and the data fusion of different parts for the accurate authentication of geographical origin. This method is meaningful for the quality control of food and the protection of geographical indication products.

摘要

是一种药食两用真菌,被广泛食用。其表皮和菌核内部分别被使用。质量受地理起源的影响,因此需要一种有效且准确的地理来源认证方法。应用 242nm 和 210nm 液相色谱(LC 和 LC)和傅里叶变换红外(FTIR)光谱以及低水平和中水平数据融合策略,结合偏最小二乘判别分析,对两种部分的栽培 进行了地理来源鉴定。数据预处理涉及相关优化扭曲和二阶导数。结果表明,色谱指纹图谱的潜力大于五种三萜酸含量。LC-FTIR 低水平融合充分利用了信息协同作用,表现出良好的性能。此外,两个部分的 FTIR 低水平融合模型的预测能力令人满意。低水平融合策略的性能优于单一技术和中水平融合策略。菌核内部比表皮更适合用于鉴定来源。本研究证明了色谱和光谱数据融合以及不同部分数据融合用于准确地理来源鉴定的可行性。该方法对于食品质量控制和地理标志产品的保护具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/975113b7498b/molecules-24-01320-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/587d4d5f9b4d/molecules-24-01320-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/01df2650a151/molecules-24-01320-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/81478e0c44fb/molecules-24-01320-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/cf770f2688e5/molecules-24-01320-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/eed83f975958/molecules-24-01320-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/6a93c74b0205/molecules-24-01320-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/975113b7498b/molecules-24-01320-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/587d4d5f9b4d/molecules-24-01320-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/01df2650a151/molecules-24-01320-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/81478e0c44fb/molecules-24-01320-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/cf770f2688e5/molecules-24-01320-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/eed83f975958/molecules-24-01320-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/6a93c74b0205/molecules-24-01320-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/077b/6479993/975113b7498b/molecules-24-01320-g007.jpg

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