Literature DB >> 32711282

Nondestructive measurement of pectin polysaccharides using hyperspectral imaging in mulberry fruit.

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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hyperspectral imaging; Medicinal food; Mulberry fruit; Noninvasive prediction; Pectin polysaccharide; Phytochemical

Mesh:

Substances:

Year:  2020        PMID: 32711282     DOI: 10.1016/j.foodchem.2020.127614

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  5 in total

1.  A novel ground truth multispectral image dataset with weight, anthocyanins, and Brix index measures of grape berries tested for its utility in machine learning pipelines.

Authors:  Pedro J Navarro; Leanne Miller; María Victoria Díaz-Galián; Alberto Gila-Navarro; Diego J Aguila; Marcos Egea-Cortines
Journal:  Gigascience       Date:  2022-06-14       Impact factor: 7.658

2.  Finite Element Analysis and Near-Infrared Hyperspectral Reflectance Imaging for the Determination of Blueberry Bruise Grading.

Authors:  Zhaoqi Zheng; Zimin An; Xinyu Liu; Jinghui Chen; Yonghong Wang
Journal:  Foods       Date:  2022-06-27

Review 3.  Assessing the Nutritional-Value-Based Therapeutic Potentials and Non-Destructive Approaches for Mulberry Fruit Assessment: An Overview.

Authors:  Muhammad Faisal Manzoor; Abid Hussain; Diana Tazeddinova; Aizhan Abylgazinova; Bin Xu
Journal:  Comput Intell Neurosci       Date:  2022-03-24

4.  Polysaccharide prediction in Ganoderma lucidum fruiting body by hyperspectral imaging.

Authors:  Yu Liu; Yongbing Long; Houcheng Liu; Yubin Lan; Teng Long; Run Kuang; Yifan Wang; Jing Zhao
Journal:  Food Chem X       Date:  2021-12-29

5.  Non-Destructive Detection of Damaged Strawberries after Impact Based on Analyzing Volatile Organic Compounds.

Authors:  Yang Cao; Yuchen Zhang; Menghua Lin; Di Wu; Kunsong Chen
Journal:  Sensors (Basel)       Date:  2022-01-06       Impact factor: 3.576

  5 in total

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