Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

被引：177

作者：

Arendse, Ebrahiema ^{[1
]}

Fawole, Olaniyi Amos ^{[2
]}

Magwaza, Lembe Samukelo ^{[3
]}

Opara, Umezuruike Linus ^{[1
,2
]}

机构：

[1] Stellenbosch Univ, Dept Food Sci, South African Res Chair Postharvest Technol, Postharvest Technol Res Lab, Private Bag X1, ZA-7602 Stellenbosch, South Africa

[2] Stellenbosch Univ, Dept Hort Sci, South African Res Chair Postharvest Technol, Postharvest Technol Res Lab, Private Bag X1, ZA-7602 Stellenbosch, South Africa

[3] Univ KwaZulu Natal, Sch Agr Earth & Environm Sci, Dept Crop Sci, Private Bag X01, ZA-3209 Pietermaritzburg, South Africa

来源：

JOURNAL OF FOOD ENGINEERING | 2018年 / 217卷

基金：

新加坡国家研究基金会;

关键词：

Fruit quality; Punica grantum L; Near infrared spectroscopy; Hyperspectral imaging; X-ray micro-computed tomography; Nuclear magnetic resonance; Raman spectroscopy; NEAR-INFRARED SPECTROSCOPY; NUCLEAR-MAGNETIC-RESONANCE; SOLUBLE SOLIDS CONTENT; NULES CLEMENTINE MANDARIN; RAY COMPUTED-TOMOGRAPHY; NIR SPECTROSCOPY; SUGAR CONTENT; POMEGRANATE FRUIT; NONINVASIVE ASSESSMENT; LIGHT PENETRATION;

D O I：

10.1016/j.jfoodeng.2017.08.009

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Fruits with thick rind have been reported to interfere with the measurement of internal quality of non-destructive near infrared spectroscopy. This review provides an overview of issues related to the use of near infrared spectroscopy for measuring internal and external quality attributes of horticultural produce with thick rinds. The use of other non-destructive techniques for assessing internal and external quality thick rind fruit, such as hyperspectral and multispectral imaging systems, X-ray micro-computed tomography, nuclear magnetic resonance and Raman spectroscopy are also discussed. A concise summary of research and potential commercial application for each of the techniques is highlighted. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：11 / 23

页数：13

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