感谢您提供的文本。以下是对文本的挑错和修改建议：
1. 句子结构与语法
- 原句: “To base on the method of polysaccharide HPLC fingerprint，chemical pattern recognition and multi-component quantification analysis，to evaluation of leaves of Angelica Dahurica from different habitats and to provide basis for development and utilization.”
- 修改: “Based on the method of polysaccharide HPLC fingerprinting, chemical pattern recognition, and multi-component quantification analysis, this study evaluates the leaves of Angelica dahurica from different habitats and provides a basis for their development and utilization.”
2. 标点符号
- 在英文中，逗号后面应该有一个空格。在“fingerprint，”之后应该加上空格。
3. 一致性
- “Angelica Dahurica”应保持一致的书写形式，可以将其改为“小写dahurica”，如“Angelica dahurica”。
4. 专业术语
- 对于一些专业术语，如“principal component analysis (CA)”可能需要保持一致，例如使用”PCA”（主成分分析）而非“CA”来避免混淆。
5. 流畅性
- 整体段落有些冗长，可以考虑适当拆分成几个短句以提高可读性。
修正后的文本
“Based on the method of polysaccharide HPLC fingerprinting, chemical pattern recognition, and multi-component quantification analysis, this study evaluates the leaves of Angelica dahurica from different habitats and provides a basis for their development and utilization. The column used was Phenomenex Luna C8 (4.6 mm × 250 mm, 5 μm) with phosphate buffer (pH 6.8) - acetonitrile (83:17) as the mobile phase at a flow rate of 1.0 mL/min, a detection wavelength of 250 nm, and a sample injection volume of 10 μL. The fingerprint profiles of 32 batches of angelica dahurica from different habitats were established. Based on the common peak area of the fingerprint, the overall quality was evaluated using principal component analysis (PCA) and comprehensive scoring. Differential markers in polysaccharides were identified by orthogonal partial least squares-discriminant analysis (OPLS-DA), allowing selection based on comprehensive scoring.
The HPLC fingerprint for these 32 batches identified a total of 16 common peaks, including six components: glucose, arabinose, galactose, mannose, xylose, and rhamnose with similarities ranging from 0.816 to 0.991. The samples were clustered into five classes using PCA; four principal components accounted for a cumulative variance contribution of 92.531%. Seven differential markers can be used to distinguish between different batches through OPLS-DA.
According to comprehensive scores, Hangzhou was selected as the best origin for angelica dahurica. The HPLC fingerprinting method along with content measurement methods for these six components are exclusive, accurate, and reliable. Combined with chemical pattern identification analysis, they provide new ideas and methods for quality evaluation and rapid classification of angelica dahurica.”
希望这些修改能够帮助您提升文本的质量！如果还有其他问题或需要进一步修改，请告诉我。
内容由零声教学AI助手提供，问题来源于学员提问
