利用高光谱成像技术预测灵芝子实体中的多糖含量

摘要：灵芝是具有多种营养活性的中国传统保健食品，多糖是其主要活性成分之一。灵芝多糖在提高人体免疫力和抗氧 化方面起着至关重要的作用。目前，灵芝多糖含量的检测方法都是破坏性的，步骤复杂，耗时长。本研究旨在探索利用 高光谱成像（（ HSI）对灵芝生长过程中的多糖含量进行非破坏性预测的可能性。采用Savitzky-Golay（（ SG）和标准正态变 量（SNV）预处理方法，采用连续投影算法（SPA）的特征选择方法，建立的偏最小二乘回归（PLSR）模型对灵芝表现 出良好的性能（R2 p =0.924，RPDp =3.622）。本研究表明高光谱成像可以快速、无损地检测灵芝多糖含量，为灵芝栽培 产业提供指导，提高灵芝经济效益。

关键词：高光谱成像 灵芝 多糖 无损检测

期刊：Food Chemistry: X

DOI：https://DOI.org/10.1016/j.fochx.2021.100199

设备：GaiaField

Polysaccharide prediction in Ganoderma lucidum fruiting body by hyperspectral imaging

Abstract：Ganoderma lucidum is a traditional Chinese healthy food with many kinds of nutritious activities, and poly saccharide is one of its main active components. Ganoderma lucidum polysaccharide plays a vital role in improving human immunity and anti- oxidation. At present, the methods of detecting polysaccharide content of Ganoderma lucidum are destructive, and the steps are complicated and time-consuming. This study aims to explore the possibility of using hyperspectral imaging (HSI) to predict polysaccharide content in a nondestructive way during the growth of Ganoderma lucidum. The partial least square regression (PLSR) model shows good performance for Ganoderma lucidum (R2 p =0.924, RPDp =3.622) with pretreatment method of Savitzky-Golay (SG) and standard normal variate (SNV), and feature selection method of successive projections algorithm (SPA). This study indicates that HSI can quickly and nondestructive detect the polysaccharide content of Ganoderma lucidum, provide guidance for the cultivation industry and improve the economic benefits of Ganoderma lucidum.

Keywords：Hyperspectralimaging, ,lucidum,Polysaccharide,Nondestructive detection