Document Detail


Measurement of soluble solids contents and pH in orange juice using chemometrics and vis-NIRS.
MedLine Citation:
PMID:  17002405     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The potential of visible and near-infrared reflectance spectroscopy (vis-NIRS) was investigated for its ability to nondestructively detect soluble solids contents (SSC) and pH in orange juices. A total of 104 orange juice samples were used for vis-NIRS at 325-1075 nm using a field spectroradiometer. Wavelet packet transform, standard normal variate transformation (SNV), and Savitzky-Golay first-derivative transformation were applied for the preprocessing of spectral data. The chemometrics of partial least-squares (PLS) regression analysis was performed on the processed spectral data. The evaluation of SSC and pH in orange juices by PLS regression with SNV showed the highest accuracy of the three preprocessing methods. The correlation coefficient (r), standard error of prediction, and the root-mean-square error of prediction for SSC were 0.98, 0.68, and 0.73, respectively, whereas those values for pH were 0.96, 0.06, and 0.06, respectively. The "fingerprint" representing features of orange juices or reflecting sensitivity to some elements at a certain band was proposed on the basis of regression coefficients. It is very useful in the field of food chemistry and further research on other materials. It is concluded that the vis-NIRS technique combined with chemometrics is promising for the fast and nondestructive detection of chemical components in orange juices or other materials.
Authors:
Haiyan Cen; Yong He; Min Huang
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  54     ISSN:  0021-8561     ISO Abbreviation:  J. Agric. Food Chem.     Publication Date:  2006 Oct 
Date Detail:
Created Date:  2006-09-27     Completed Date:  2006-11-24     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  7437-43     Citation Subset:  IM    
Affiliation:
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
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MeSH Terms
Descriptor/Qualifier:
Beverages / analysis*
Citrus sinensis / chemistry*
Fruit / chemistry*
Hydrogen-Ion Concentration
Regression Analysis
Sensitivity and Specificity
Spectroscopy, Near-Infrared*
Spectrum Analysis*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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