Paper Title:
Study on Rapid and Non-Destructive Identification of Starch Categories with NIR (Near-Infrared Reflectance)
  Abstract

We conduct rapid and non-destructive experimental studies on various starches based on NIR and cluster analysis (a kind of quantitative analysis), taking a total of 54 samples from two starches as subjects, and study the feasibility of identifying starch categories with the combination of NIR and cluster analysis. The samples are identified quantitatively through cluster analysis (a kind of spectrum pattern recognition) under NIRDRS (near-infrared diffuse reflectance spectroscopy) with spectrum from 8914-1 to 4000-1 cm. Researches indicate that once the spectra are pre-processed trough vector normalization, samples can be classified into two categories accurately with cluster analysis, with a precision rate of 100%.In the meantime, the accuracy rate from experiment is also 100% when using the prediction set samples to test the accuracy of the model built. As research shows, a combination of NIRDRS and cluster analysis provides an accurate and reliable method to recognize starch categories rapidly and non-destructively.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 2: Powder Metallurgy and Ceramic Forming
Edited by
Wu Fan
Pages
756-759
DOI
10.4028/www.scientific.net/AMR.383-390.756
Citation
X. R. Sun, C. L. Liu, J. Z. Wu, H. Li, "Study on Rapid and Non-Destructive Identification of Starch Categories with NIR (Near-Infrared Reflectance)", Advanced Materials Research, Vols. 383-390, pp. 756-759, 2012
Online since
November 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Li Bao, Xi Zhao Li
Chapter 2: Mechatronics
Abstract:The load spectrum of a frame, which is a key component of a motorcycle, can be used to frame loading experiment and life prediction of a...
150
Authors: Hui Guo, Jie He
Chapter 3: Active Materials, Mechanics and Behavior
Abstract:Due to the huge amount of image data transmission conditions and the existing relative low, makes the image compression become inevitable,...
400
Authors: Fei Xiao, Xian Li Liu, Yan Xin Wang, Li Jia Liu, Da Qu
Chapter 2: Simulation of Machining Processes
Abstract:According to the principle of the experimental modal analysis, this study is based on tool system of the MIKRON UCP 710 numerical control...
159
Authors: Jin Hu Niu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:The research on statistical analysis of multivariable panel data is a blank in China. The paper tries to do the basal study on cluster...
2668
Authors: Ding Li
Chapter 3: Intelligent Manufacturing and Industrial Informatics
Abstract:To reduce product costs and improve the competitiveness of a enterprise, it is essential to optimize and manage the production processing in...
345