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傅里叶变换红外成像和多元分析直接鉴定褐藻中的主要多糖。

Fourier-transform infrared imaging and multivariate analysis for direct identification of principal polysaccharides in brown seaweeds.

机构信息

GIBMAR, Grupo Interdisciplinario de Biotecnología Marina, Centro de Biotecnología, Universidad de Concepción, Concepción, Chile; Departamento de Ingeniería Química, Facultad de Ingeniería, Universidad de Concepción, Chile.

GIBMAR, Grupo Interdisciplinario de Biotecnología Marina, Centro de Biotecnología, Universidad de Concepción, Concepción, Chile; Departamento de Ciencias y Tecnología de los Alimentos, Facultad de Farmacia, Universidad de Concepción, Concepción, Chile.

出版信息

Carbohydr Polym. 2020 Feb 15;230:115561. doi: 10.1016/j.carbpol.2019.115561. Epub 2019 Nov 4.

DOI:10.1016/j.carbpol.2019.115561
PMID:31887876
Abstract

The current hydrocolloid industry requires new techniques for biomass characterization, which can quickly and ecologically characterize contained sugars. This work proposes the use of Fourier Transform Infrared microspectroscopy in combination with multivariate methods, to localize and identify the main carbohydrates and other components present in fresh brown seaweeds, avoiding time-consuming samples pre-treatments. Infrared images of Macrocystis pyrifera samples were analyzed by Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) and Principal Component Analysis (PCA) as chemometrics techniques to identify the compounds. MCR-ALS was the best strategy, delivering pure spectra of chemical compound that PCA did not. The carbohydrates identified by this method were 1-3-β-glucans divided into endofibers and laminarin; two types of fucoidans (rich in fucose or mannuronic acid), alginate and mannitol, besides other compounds such as proteins. This technique represents an opportunity for the hydrocolloid industry for a modern, rapid and environmentally-friendly characterization of macroalgal biomass to enhance its use.

摘要

当前的水胶体产业需要新的技术来对生物质进行特征描述,以便快速、生态地对所含糖分进行分析。本工作提出了使用傅里叶变换红外微光谱结合多元方法,对新鲜褐藻中存在的主要碳水化合物和其他成分进行定位和鉴定,避免了耗时的样品预处理。通过多变量曲线分辨-交替最小二乘法(MCR-ALS)和主成分分析(PCA)对巨藻样品的红外图像进行分析,作为化学计量学技术来识别化合物。MCR-ALS 是最佳策略,提供了 PCA 无法提供的纯化合物光谱。该方法鉴定的碳水化合物为 1-3-β-葡聚糖,分为内切纤维和岩藻糖;两种类型的褐藻胶(富含岩藻糖或甘露糖醛酸)、藻酸盐和甘露醇,以及其他化合物,如蛋白质。这项技术为水胶体产业提供了一个现代化、快速和环保的大型海藻生物质特征描述的机会,以提高其用途。

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