Journal
JOURNAL OF FORENSIC SCIENCES
Volume 60, Issue 5, Pages 1199-1205Publisher
WILEY
DOI: 10.1111/1556-4029.12884
Keywords
forensic science; herbal medicines; sibutramine; near infrared; partial least squares discriminant analysis; partial least squares regression; multiple linear regression; successive projections algorithm
Categories
Funding
- CAPES
- FACEPE
- Generalitat Valenciana (Spain) [2010/55]
- Spanish Ministry of Economy and Competitivity [CTQ2011-25743]
- FAPESP [2008/57808-1]
- CNPq [573894/2008-6]
Ask authors/readers for more resources
There is an increasing demand for herbal medicines in weight loss treatment. Some synthetic chemicals, such as sibutramine (SB), have been detected as adulterants in herbal formulations. In this study, two strategies using near infrared (NIR) spectroscopy have been developed to evaluate potential adulteration of herbal medicines with SB: a qualitative screening approach and a quantitative methodology based on multivariate calibration. Samples were composed by products commercialized as herbal medicines, as well as by laboratory adulterated samples. Spectra were obtained in the range of 14,000-4000 per cm. Using PLS-DA, a correct classification of 100% was achieved for the external validation set. In the quantitative approach, the root mean squares error of prediction (RMSEP), for both PLS and MLR models, was 0.2%w/w. The results prove the potential of NIR spectroscopy and multivariate calibration in quantifying sibutramine in adulterated herbal medicines samples.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available