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Use of visible and near infrared spectroscopy and least squares-support vector machine to determine soluble solids content and pH of cola beverage.
J Agric Food Chem. 2007 Oct 31; 55(22):8883-8.JA

Abstract

Visible and near infrared (VIS/NIR) transmission spectroscopy and chemometric methods were utilized for the fast determination of soluble solids content (SSC) and pH of cola beverage. A total of 180 samples were used for the calibration set, whereas 60 samples were used for the validation set. Some preprocessing methods were applied before developing the calibration models. Several PLS factors, extracted by partial least squares (PLS) analysis, were used as the inputs of least squares-support vector machine (LS-SVM) model according to their accumulative reliabilities. The correlation coefficient (r), root mean square error of prediction (rmsEP), bias, and RPD were 0.959, 1.136, -0.185, and 3.5 for SSC, whereas 0.973, 0.053, 0.017, and 4.1 for pH, respectively. An excellent prediction precision was achieved by LS-SVM compared with PLS. The results indicated that VIS/NIR spectroscopy combined with LS-SVM could be applied as a rapid and alternative way for the fast determination of SSC and pH of cola beverage.

Authors+Show Affiliations

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.No affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17960870

Citation

Liu, Fei, and Yong He. "Use of Visible and Near Infrared Spectroscopy and Least Squares-support Vector Machine to Determine Soluble Solids Content and pH of Cola Beverage." Journal of Agricultural and Food Chemistry, vol. 55, no. 22, 2007, pp. 8883-8.
Liu F, He Y. Use of visible and near infrared spectroscopy and least squares-support vector machine to determine soluble solids content and pH of cola beverage. J Agric Food Chem. 2007;55(22):8883-8.
Liu, F., & He, Y. (2007). Use of visible and near infrared spectroscopy and least squares-support vector machine to determine soluble solids content and pH of cola beverage. Journal of Agricultural and Food Chemistry, 55(22), 8883-8.
Liu F, He Y. Use of Visible and Near Infrared Spectroscopy and Least Squares-support Vector Machine to Determine Soluble Solids Content and pH of Cola Beverage. J Agric Food Chem. 2007 Oct 31;55(22):8883-8. PubMed PMID: 17960870.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Use of visible and near infrared spectroscopy and least squares-support vector machine to determine soluble solids content and pH of cola beverage. AU - Liu,Fei, AU - He,Yong, Y1 - 2007/10/24/ PY - 2007/10/27/pubmed PY - 2007/12/28/medline PY - 2007/10/27/entrez SP - 8883 EP - 8 JF - Journal of agricultural and food chemistry JO - J Agric Food Chem VL - 55 IS - 22 N2 - Visible and near infrared (VIS/NIR) transmission spectroscopy and chemometric methods were utilized for the fast determination of soluble solids content (SSC) and pH of cola beverage. A total of 180 samples were used for the calibration set, whereas 60 samples were used for the validation set. Some preprocessing methods were applied before developing the calibration models. Several PLS factors, extracted by partial least squares (PLS) analysis, were used as the inputs of least squares-support vector machine (LS-SVM) model according to their accumulative reliabilities. The correlation coefficient (r), root mean square error of prediction (rmsEP), bias, and RPD were 0.959, 1.136, -0.185, and 3.5 for SSC, whereas 0.973, 0.053, 0.017, and 4.1 for pH, respectively. An excellent prediction precision was achieved by LS-SVM compared with PLS. The results indicated that VIS/NIR spectroscopy combined with LS-SVM could be applied as a rapid and alternative way for the fast determination of SSC and pH of cola beverage. SN - 0021-8561 UR - https://www.unboundmedicine.com/medline/citation/17960870/Use_of_visible_and_near_infrared_spectroscopy_and_least_squares_support_vector_machine_to_determine_soluble_solids_content_and_pH_of_cola_beverage_ DB - PRIME DP - Unbound Medicine ER -