Abstract

Cocoamidopropyl betaines are becoming increasingly important in cosmetic formulations because of their mild and effective surface active properties. A simple and accurate method is needed for quality control during the production of betaines. The aim of the present study was to determine if near infrared spectroscopy can replace wet methods for routine analysis of betaine. The calibration curve was obtained by partial least squares. The optimisation of calibration factors was guided by coefficient of determination (R²) and the root mean square error of evaluation (RMSEE). R² was 0.99 or higher and RMSEE 0.025, 0.071, 0.03% and 0.007 units for active matter, sodium chloride, solids and pH, respectively. The method was validated with independent samples in the same manner on a different day and true values were obtained with R² of 0.99 or higher and root mean standard error of prediction of 0.060, 0.074, 0.075% and 0.035 units for active matter, sodium chloride, solids and pH, respectively.

© 2005 NIR Publications

Multicomponent blood analysis by near-infrared Raman spectroscopy

Andrew J. Berger, Tae-Woong Koo, Irving Itzkan, Gary Horowitz, and Michael S. Feld
Appl. Opt. 38(13) 2916-2926 (1999)

Quantitative analysis of bayberry juice acidity based on visible and near-infrared spectroscopy

Yongni Shao, Yong He, and Jingyuan Mao
Appl. Opt. 46(25) 6391-6396 (2007)

Using cross-correlation analysis of multi-channel near infrared spectroscopy to assess the hemodynamic response to cupping therapy

Ben-Yi Liau, Chi-Wen Lung, Manuel E. Hernandez, Pu-Chun Mo, Yameng Li, Jiaqi Guo, and Yih-Kuen Jan
Biomed. Opt. Express 14(9) 4455-4467 (2023)

Nondestructive determination of SSC in an apple by using a portable near-infrared spectroscopy system

Yizhe Zhang, Jipeng Huang, Qiulei Zhang, Jinwei Liu, Yanli Meng, and Yan Yu
Appl. Opt. 61(12) 3419-3428 (2022)

HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain

Theodore J. Huppert, Solomon G. Diamond, Maria A. Franceschini, and David A. Boas
Appl. Opt. 48(10) D280-D298 (2009)