全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

测试部位对猕猴桃近红外光谱响应特性的影响

, PP. 124-128

Keywords: 猕猴桃,糖度,近红外光谱,无损检测,测试部位

Full-Text   Cite this paper   Add to My Lib

Abstract:

应用近红外光谱漫反射技术,采集猕猴桃赤道附近不同测试部位的近红外光谱,对不同测试部位的平均吸光度和噪声进行差异性分析,对不同测试部位的近红外光谱波峰位置、不同波长处的吸光度以及近红外光谱糖度定量分析模型的预测精度进行了单因素方差分析。同一猕猴桃在赤道附近的不同测试部位,其近红外光谱平均吸光度及噪声的波动性较小,波峰位置差异不显著;同一猕猴桃在相同的波峰位置处,不同测试部位的吸光度差异不显著。越是靠近长波近红外区,吸光度的相对标准偏差越大,但是从总体上看,不同波长位置、不同测试部位吸光度的离散度都不大;用不同测试部位的光谱所建立的糖度定量分析模型检测精度差异不显著。猕猴桃赤道附近不同测试部位的近红外光谱都可以用来分析整个猕猴桃的品质。

References

[1]  ZHOUYing FUXia-ping YINGYi-bin(周莹 傅霞萍 应义斌).[J].光谱学与光谱分析,2007,27(11):2197.
[2]  Paul Martinsen, Pter Schaare. Measuring solids distribution in kiwifruit using near-infrared imaging spectroscopy [J]. Postharvest Biology and Technology, 1998, 14 ( 3 ) : 271 - 281.
[3]  Schaare P N, Fraser D G. Comparison of reflectance, interaction and transmission modes of visible-near infrared spectroscopy for measuring internal properties of kiwifruit[J]. Postharvest Biology and Technology, 2000, 20(2) : 175-184.
[4]  Arazuri, Jaren. Selection of the temperature in the sugar content determination of kiwifruit [J]. International Journal of Infrared and Millimeter Waves, 2005, 26(4) : 607-615.
[5]  McGlone V A, Kawano S. Firmness, dry-matter and soluble solids assessment of postharvest kiwifruit by NIR spectroscopy [J]. Postharvest Biology and Technology, 1998, 13(2): 131-141.
[6]  Jaesco K, Alistair M, Philip P, et al. Linear and non-linear pattern recognition models for classification of fruit from visiblenear infrared spectra [J]. Chemometrics and Intelligent Laboratory Systems, 2000, 51(2): 201- 216.
[7]  Broom F D, Mowat A D, Poole P R, et al. The influence of canopy management on visible-near infrared spectral properties of kiwifruit[C]//ISHS Acta Horticulture, 515: 25th International Horticultural Congress, Part 5, 2000: 227-232.
[8]  McGlone V A, Jordan R B, Richard S. Comparing density and NIR methods for measurement of kiwifruit dry matter and soluble solids content[J], Postharvest Biology and Technology, 2002, 26(2) : 191- 198.
[9]  Clark C J, McGlonea V A, De Silva H N. Prediction of storage disorders of kiwifruit (Actinidia chinensis) based on visibleNIR spectral characteristics at harvest[J]. Postharvest Biology and Technology, 2004, 32(2): 147-158.
[10]  Walsh K B, Golic M, Greensill C V. Sorting of fruit using near infrared spectroscopy: application to a range offruit and vegetables for soluble solids and dry matter content[J]. Journal of Near Infrared Spectroscopy, 2004, 12(3) : 141-148.
[11]  McGlone V A, Abe H, Kawano S. Kiwifruit firmness by near infrared light scattering [J]. Journal of Near Infrared Spectroscopy, 1997, 13(2) : 83-89.
[12]  张方明 应义斌.水果分级机器人关键技术的研究和发展[J].机器人技术与应用,2004,(1):33-35.
[13]  刘燕德.[D].浙江:浙江大学,2006.
[14]  陆婉珍.现代近红外光谱分析技术[M].北京:中国石化出版社,2006.185-186.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133