| Literature DB >> 32711282 |
Liang Yang1, Huaqi Gao2, Liuwei Meng3, Xiaping Fu4, Xiaoqiang Du5, Di Wu6, Lingxia Huang7.
Abstract
Pectin polysaccharide is an important phytochemical with potential biomedical applications. It is commonly measured by time-consuming destructive chemical methods. This work demonstrates the feasibility of using visible and near-infrared hyperspectral imaging (HSI) techniques to rapidly measure pectin polysaccharides in intact mulberry fruits. Based on spatial information provided by HSI images, the representative spectrum of each whole mulberry was accurately extracted without background. The effects of storage temperature on two varieties of mulberries for model establishment were studied. The performances of two spectral ranges obtained by Si and InGaAs CCD detectors for pectin prediction were compared. The best predictions were obtained from dilute alkali soluble pectin and total soluble pectin in Dashi mulberry fruit stored at room temperature, with residual predictive deviation values of 2.317 and 1.935, respectively. Our results show that HSI is a promising alternative to the chemical method to rapidly and nondestructively measure the pectin content.Entities:
Keywords: Hyperspectral imaging; Medicinal food; Mulberry fruit; Noninvasive prediction; Pectin polysaccharide; Phytochemical
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Year: 2020 PMID: 32711282 DOI: 10.1016/j.foodchem.2020.127614
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514