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浙江大学学报（农业与生命科学版）
浙江大学学报（农业与生命科学版）  2020, Vol. 46 Issue (1): 27-37    DOI: 10.3785/j.issn.1008-9209.2019.09.241
综述     
无损检测技术在果蔬品质检测中的应用研究进展
刘妍1,2(),周新奇1,俞晓峰1,2,李永强1,韩双来1,2()
1.聚光科技（杭州）股份有限公司，杭州 310051
2.杭州谱育科技发展有限公司，杭州 311305
Research progress of nondestructive testing techniques for fruit and vegetable quality
Yan LIU1,2(),Xinqi ZHOU1,Xiaofeng YU1,2,Yongqiang LI1,Shuanglai HAN1,2()
1.Focused Photonics (Hangzhou) Inc. , Hangzhou 310051, China
2.Hangzhou Puyu Technology Development Co. , Ltd. , Hangzhou 311305, China
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摘要：

果蔬品质是影响其市场价格和消费者满意度的重要因素之一。无损检测技术作为快速、低成本的质量评价方法，为果蔬品质检测提供了一种有效手段。本文综述了无损检测在果蔬品质检测领域中的相关应用研究，从检测原理、应用情况和技术特点3个方面对近红外光谱检测技术、机器视觉检测技术、高光谱成像检测技术、声学分析检测技术、电子鼻检测技术、介电性质分析检测技术、核磁共振检测技术等无损检测技术在果蔬品质检测中的研究情况进行总结，同时分析了各项技术目前存在的问题，并对未来的应用前景做出展望，以期为果蔬无损检测应用研究提供参考。
关键词： 无损检测技术;  果蔬产品;  品质评价;  研究进展    
Abstract:

The quality of fruit and vegetable products is one of the important factors affecting market prices and customer satisfaction. Nondestructive testing techniques provide a rapid way to perform quality evaluation at a relatively low cost. Considering the rapid development of nondestructive testing techniques, some relevant literatures are reviewed in this paper. The principles, applications, characteristics and problems of near infrared spectroscopy technology, machine vision, hyperspectral imaging analysis, acoustic detection, electronic nose, dielectric properties analysis and nuclear magnetic resonance technology are briefly highlighted and summarized. Based on above the review, this paper discusses the solutions further and explores future opportunities and prospects to form the latest reference for researchers.
Key words: nondestructive testing techniques    fruit and vegetable products    quality evaluation    research progress
收稿日期: 2019-09-24 出版日期: 2020-02-25
CLC:  S-1  
基金资助: “十三五”国家重点研发计划“果蔬产地商品化处理技术及装备研发示范”(2017YFD04013);浙江省重点研发计划“便携式多用途茶叶机械装备研发”(2017C02007)
通讯作者: 韩双来     E-mail: yan_liu@fpi-inc.com;shuanglai_han@fpi-inc.com
作者简介: 刘妍（https://orcid.org/0000-0002-1206-3944），E-mail：yan_liu@fpi-inc.com
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引用本文:

刘妍,周新奇,俞晓峰,李永强,韩双来. 无损检测技术在果蔬品质检测中的应用研究进展[J]. 浙江大学学报（农业与生命科学版）, 2020, 46(1): 27-37.

Yan LIU,Xinqi ZHOU,Xiaofeng YU,Yongqiang LI,Shuanglai HAN. Research progress of nondestructive testing techniques for fruit and vegetable quality. Journal of Zhejiang University (Agriculture and Life Sciences), 2020, 46(1): 27-37.

链接本文:

http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2019.09.241    或    http://www.zjujournals.com/agr/CN/Y2020/V46/I1/27

便携式近红外分析仪

Portable NIR spectrometer

检测对象

Detection subject

检测指标

Detection index

检测结果

Detection result

文献

Reference

型号

Type

公司

Company

SupNIR-1000聚光科技（杭州）苹果酸度、抗坏血酸

Rp≥0.9

RMSEP≤0.45

[27]
SupNIR-1520聚光科技（杭州）红枣水分含量平均偏差0.41%[28]
Micro NIR TM 1700

美国

JDSU

无花果

糖度

硬度

Rp2=0.51

Rp2=0.57

[29]
Phazir-1018

美国

Thermo Fisher Scientific

南非鳄梨成熟度

R2=0.732

RMSEP=1.83

[30]
LabSpec 4

美国

Analytical Spectral Devices Inc.

橙

可溶性固形物含量

酸度

可滴定酸度

成熟度指数

果肉硬度

果汁体积

水果质量

果皮质量

果汁体积与水果质量比

水果和果汁颜色指数

RMSEP=0.87

RMSEP=0.13

RMSEP=2.47

RMSEP=1.54

RMSEP=1.82

RMSEP=8.38

RMSEP=43.51

RMSEP=16.07

RMSEP=6.48

RMSEP=55.69

[31]
Luminar 5030

美国

Brimrose Corp

可溶性固形物含量

酸度

可滴定酸度

成熟度指数

果肉硬度

果汁体积

水果质量

果皮质量

RMSEP=1.12

RMSEP=0.40

RMSEP=2.07

RMSEP=2.57

RMSEP=1.53

RMSEP=12.13

RMSEP=32.63

RMSEP=14.71
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