Food and Fermentation Industries >

2024 , Vol. 50 >Issue 12: 396 - 403

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.036646

Research progress on non-destructive testing technology of kiwifruit

  • QU Dong ,
  • XU Na ,
  • ZHAI Chenli ,
  • YAN Fei
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  • 1(Shaanxi Key Laboratory Bio-resources, College of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723000, China)
    2(Qinling-Bashan Mountains Bioresources Comprehensive Development Collaborative Innovation Center, Hanzhong 723001, China)
    3(Qinba State Key Laboratory of Biological Resources and Ecological Environment, Hanzhong 723001, China)

Received date: 2023-07-02

  Revised date: 2023-08-14

  Online published: 2024-07-11

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Abstract

Kiwifruit is rich in vitamin C and dietary fiber, has antioxidant and other functions, and is favored by consumers.China is one of the main countries in the world which cultivates and exports kiwifruit.Fruit quality testing technology and evaluation is one of the important guarantees to promote the development of the kiwifruit industry.In recent years, non-destructive testing technology is a new technology widely used in industrial and agricultural fields.The non-destructive testing of kiwifruit is to detect the quality of kiwifruit during picking, fruit grading, and storage without damaging the fruit.It is one of the important methods to ensure a high-quality fruit supply.This paper summarized the principle of nondestructive testing technology of kiwifruit, including acoustic, dielectric and optical properties, and so on.And the advantages and disadvantages of different types of technology were compared.To improve nondestructive testing technology for kiwifruit, the research directions in the future were described.It hopes to provide a reference for the research and application of kiwifruit nondestructive testing technology.

Key words： kiwifruit; fruit; quality; non-destructive testing technology; research progress

Cite this article

QU Dong , XU Na , ZHAI Chenli , YAN Fei . Research progress on non-destructive testing technology of kiwifruit[J]. Food and Fermentation Industries, 2024 , 50(12) : 396 -403 . DOI: 10.13995/j.cnki.11-1802/ts.036646

References

[1] 田有文, 张巍, 郑鹏辉. 浆果品质光学无损检测技术的研究进展[J]. 食品工业, 2016, 37(2):227-232.
TIAN Y W, ZHANG W, ZHENG P H. Research progress of optical technology for nondestructive testing of berries quality[J]. The Food Industry, 2016, 37(2):227-232.
[2] 罗斌, 赵有斌, 尹学清, 等. 质构仪在果蔬品质评定中应用的研究进展[J]. 食品研究与开发, 2019, 40(5):209-213.
LUO B, ZHAO Y B, YIN X Q, et al. Application progress of texture analyzer in the research of fruit and vegetable quality evaluation[J]. Food Research and Development, 2019, 40(5):209-213.
[3] 朱娜. 基于电子鼻检测“霞晖5号” 桃果实瘀伤和冷害的研究[D]. 南京: 南京农业大学, 2013: 2-3.
ZHU N. Bruise and chilling injury detection of “Xiahui5” peach by E-nose[D]. Nanjing: Nanjing Agricultural University, 2013: 2-3.
[4] 傅霞萍. 水果内部品质可见/近红外光谱无损检测方法的实验研究[D]. 杭州: 浙江大学, 2008.
FU X P. Nondestructive detection of fruit internal quality based on visible and near infrared spectroscopy[D]. Hangzhou: Zhejiang University, 2008.
[5] 王顺, 黄星奕, 吕日琴, 等. 水果品质无损检测方法研究进展[J]. 食品与发酵工业, 2018, 44(11):319-324.
WANG S, HUANG X Y, LYU R Q, et al. Research progress of nondestructive detection methods in fruit quality[J]. Food and Fermentation Industries, 2018, 44(11):319-324.
[6] 姚文苇. 基于超声医学应用的声传播的研究[J]. 中国医学物理学杂志, 2014, 31(4):5077-5080.
YAO W W. Propagation of acoustic wave based on ultrasonic medical applications[J]. Chinese Journal of Medical Physics, 2014, 31(4):5077-5080.
[7] 韩东海. 无损检测技术在食品质量安全检测中的典型应用[J]. 食品安全质量检测学报, 2012, 3(5):400-413.
HAN D H. Typical applications of non-destructive testing technology in food quality and safety detecting[J]. Journal of Food Safety & Quality, 2012, 3(5):400-413.
[8] 陈翀. 猕猴桃内部品质的声学振动无损检测方法研究[D]. 绵阳: 西南科技大学, 2020: 1.
CHEN C. Study on acoustic vibration nondestructive testing method for internal quality of kiwifruit[D]. Mianyang: Southwest University of Science and Technology, 2020: 1.
[9] 卢丹. 基于流变特性和介电特性的猕猴桃品质检测技术[D]. 西安: 陕西师范大学, 2019: 1.
LU D. Quality detection technology of kiwifruit based on rheological and dielectric properties[D]. Xi′an: Shaanxi Normal University, 2019: 1.
[10] KHOSHNAM F, NAMJOO M, GOLBAKHSHI H. Acoustic testing for melon fruit ripeness evaluation during different stages of ripening[J]. Agriculturae Conspectus Scientificus, 2016: 197-204.
[11] CHOE U, KANG H, HAM J, et al. Maturity assessment of watermelon by acoustic method[J]. Scientia Horticulturae, 2022, 293:110735.
[12] 王艳萍. 基于超声检测的沙窝萝卜品质评价方法研究[D]. 天津: 天津科技大学, 2017: 37-45.
WANG Y P. Study on quality evaluation method of Shawo radish based on ultrasonic testing[D]. Tianjin: Tianjin University of Science & Technology, 2017: 37-45.
[13] VASIGHI-SHOJAE H, GHOLAMI-PARASHKOUHI M, MOHAMMADZAMANI D, et al. Ultrasonic based determination of apple quality as a nondestructive technology[J]. Sensing and Bio-Sensing Research, 2018, 21:22-26.
[14] 郭文川, 纪同奎, 张宗逸, 等. 可更换探头的手持式多果品内部品质无损检测仪研究[J]. 农业机械学报, 2023, 54(2):403-409.
GUO W C, JI T K, ZHANG Z Y, et al. Handheld non-destructive detector for internal quality of multi-fruits with replaceable probe[J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(2):403-409.
[15] AL-MUHTASEB A H, HARARAH M A, MEGAHEY E K, et al. Dielectric properties of microwave-baked cake and its constituents over a frequency range of 0.915-2.450 GHz[J]. Journal of Food Engineering, 2010, 98(1):84-92.
[16] 鲁佳琦, 朱琳, 费承鑫, 等. 无损检测在猕猴桃质地检测中的应用[J]. 食品安全导刊, 2021(18):101; 103.
LU J Q, ZHU L, FEI C X, et al. Application of nondestructive testing in texture detection of kiwifruit[J]. China Food Safety Magazine, 2021(18):101; 103.
[17] 李腾飞. ‘亚特’猕猴桃果实采后电学特性的研究[D]. 杨凌: 西北农林科技大学, 2011.
LI T F. ‘Yate’ kiwifruit electrical properties of post-harvest[D]. Yangling: Northwest A & F University, 2011.
[18] 唐燕, 杜光源, 张继澍. 猕猴桃电特性与生理特性关系研究[J]. 农业机械学报, 2012, 43(3):97-102.
TANG Y, DU G Y, ZHANG J S. Relationship between electrical properties and physiological characteristics of kiwifruit[J]. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(3):97-102.
[19] 刘振蓉, 赵武奇, 卢丹, 等. 基于介电特性的海沃德猕猴桃品质检测[J]. 核农学报, 2021, 35(6):1367-1375.
LIU Z R, ZHAO W Q, LU D, et al. Quality detection of Hayward kiwifruit based on the dielectric properties[J]. Journal of Nuclear Agricultural Sciences, 2021, 35(6):1367-1375.
[20] NIU Y X, WANG D, YE L X, et al. Nondestructive detection of kiwifruit infected with Penicillium expansum based on electrical properties[J]. Postharvest Biology and Technology, 2023, 195:112150.
[21] 胡静, 黄金发, 刘小丹, 等. 基于近红外光谱技术的猕猴桃品质检测研究进展[J]. 食品研究与开发, 2022, 43(2):196-201.
HU J, HUANG J F, LIU X D, et al. Progress in research into kiwifruit quality assessment based on near-infrared spectroscopy[J]. Food Research and Development, 2022, 43(2):196-201.
[22] WALSH K B, MCGLONE V A, HAN D H. The uses of near infrared spectroscopy in postharvest decision support: A review[J]. Postharvest Biology and Technology, 2020, 163:111139.
[23] SINGH H, SRIDHAR A, SAINI S S. Ultra-low-cost self-referencing multispectral detector for non-destructive measurement of fruit quality[J]. Food Analytical Methods, 2020, 13(10):1879-1893.
[24] YANG B, GUO W C, LI W Q, et al. Portable, visual, and nondestructive detector integrating Vis/NIR spectrometer for sugar content of kiwifruits[J]. Journal of Food Process Engineering, 2019, 42(2): e12982.
[25] NICOLA B M, BEULLENS K, BOBELYN E, et al. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review[J]. Postharvest Biology and Technology, 2007, 46(2):99-118.
[26] 郎雷. 水果糖度可见/近红外光谱检测仪的研发[D]. 杭州: 浙江大学, 2016.
LANG L. Research and development of a measuring instrument for fruit sugar content by visible/NIR spectroscopy[D]. Hangzhou: Zhejiang University, 2016.
[27] 李伟强. 便携式猕猴桃糖度无损检测仪的研发[D]. 杨凌:西北农林科技大学, 2017.
LI W Q. Development on nondestructive sugar content detector for kiwi fruits [D]. Yangling:Northwest A&F University,2017.
[28] 赵凡. 基于高光谱图像技术无损检测猕猴桃的内部品质[D]. 杨凌: 西北农林科技大学, 2016.
ZHAO F. Nondestructive determination of kiwifruit internal qualities based on hyperspectral imaging technology[D]. Yangling: Northwest A & F University, 2016.
[29] LI J, HUANG B Y, WU C P, et al. Nondestructive detection of kiwifruit textural characteristic based on near infrared hyperspectral imaging technology[J]. International Journal of Food Properties, 2022, 25:1697-1713.
[30] 陈香维. 猕猴桃近红外光谱无损检测技术研究[D]. 杨凌: 西北农林科技大学, 2009: 18-19.
CHEN X W. Nondestructive assessment on kiwifruits by NIR spectroscopy[D]. Yangling: Northwest A & F University, 2009: 18-19.
[31] LIU D Y, GUO W C, LI Q Q, et al. Relationship of the bulk optical properties in 950-1 650 nm wavelength range with internal quality and microstructure of kiwifruit during maturation[J]. Biosystems Engineering, 2019, 184:45-54.
[32] SOHAIB ALI SHAH S, ZEB A, QURESHI W S, et al. Towards fruit maturity estimation using NIR spectroscopy[J]. Infrared Physics & Technology, 2020, 111:103479.
[33] 霍迎秋, 张晨, 李宇豪, 等. 高光谱图像结合机器学习方法无损检测猕猴桃[J]. 中国农机化学报, 2019, 40(4):71-77.
HUO Y Q, ZHANG C, LI Y H, et al. Nondestructive detection for kiwifruit based on the hyperspectral technology and machine learning[J]. Journal of Chinese Agricultural Mechanization, 2019, 40(4):71-77.
[34] ZHOU Y H, GUO W C, JI T K, et al. Low-cost and handheld detector on soluble solids content and firmness of kiwifruit[J]. Infrared Physics & Technology, 2023, 131:104641.
[35] SCHULZ H, BARANSKA M, BARANSKI R. Potential of NIR-FT-Raman spectroscopy in natural carotenoid analysis[J]. Biopolymers, 2005, 77(4):212-221.
[36] 任二芳, 牛德宝, 温立香, 等. 电子鼻和电子舌在水果检测中的应用进展[J]. 食品工业, 2019, 40(10):261-264.
REN E F, NIU D B, WEN L X, et al. Application research progress of electronic nose and electronic tongue in fruits detection[J]. The Food Industry, 2019, 40(10):261-264.
[37] 宋小青, 任亚梅, 张艳宜, 等. 电子鼻对低温贮藏猕猴桃品质的预测[J]. 食品科学, 2014, 35(20):230-235.
SONG X Q, REN Y M, ZHANG Y Y, et al. Prediction of kiwifruit quality during cold storage by electronic nose[J]. Food Science, 2014, 35(20):230-235.
[38] 周建民, 周其显, 刘燕德. 红外热成像技术在农业生产中的应用[J]. 农机化研究, 2010, 32(2):1-4; 51.
ZHOU J M, ZHOU Q X, LIU Y D. Application of infrared thermography techniques in agricultural production[J]. Journal of Agricultural Mechanization Research, 2010, 32(2):1-4; 51.
[39] KALNE A, KOTWALIWALE N, SINGH K, et al. Non-destructive inspection of mango fruit using digital radiography, computed tomography and magnetic resonance imaging[J]. Journal of Agricultural Engineering, 2012, 49(4):33-41.
[40] 王茂森. 计算机视觉技术在农产品质量检测中的运用探究[J]. 数字通信世界, 2022(6):129-131.
WANG M S. Application of computer vision technology in agricultural product quality inspection[J]. Digital Communication World, 2022(6):129-131.
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