Journal of Pharmacy And Bioallied Sciences
Journal of Pharmacy And Bioallied Sciences Login  | Users Online: 669  Print this pageEmail this pageSmall font sizeDefault font sizeIncrease font size 
    Home | About us | Editorial board | Search | Ahead of print | Current Issue | Past Issues | Instructions | Online submission

Year : 2020  |  Volume : 12  |  Issue : 6  |  Page : 752-757

Rapid discrimination of halal and non-halal pharmaceutical excipients by Fourier transform infrared spectroscopy and chemometrics

1 Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
2 Duopharma Biotech Berhad, Selangor, Malaysia
3 Drug and Herbal Research Center, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia

Correspondence Address:
Dr. Mazlina M Said
Faculty of Pharmacy, Universiti Kebangsaan Malaysia, UKM Kampus Jalan Raja Muda, Kuala Lumpur.
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jpbs.JPBS_364_19

Rights and Permissions

Introduction: The appendage of “halal” to a product is not just a guarantee that the product is permitted for Muslims, but it has also become favorable lifestyle choice globally. However, the expansion of halal pharmaceutical market was hindered by lack of global halal standards for pharmaceutical ingredients and product integrity analytical methodology. Objective: This work aimed to explore the possibility of using Fourier-transform infrared (FTIR) spectroscopy and chemometrics to develop multivariate models to authenticate the “halal-ity” of pharmaceutical excipients with controversial halal status (e.g., magnesium stearate). Materials and Methods: The FTIR spectral fingerprints of the substance were used to build principal component analysis (PCA) models. The effects of different spectral pretreatment processes such as auto-scaling, baseline correction, standard normal variate (SNV), first, and second derivatives were evaluated. The optimization of the model performance was established to ensure the sensitivity, specificity, and accuracy of the predicted models. Results: Significant peaks corresponding to the properties of the compound were identified. For both bovine and plant-derived magnesium stearate, the peaks associated can be seen within the regions 2900 cm-1 (C–H), 2800 cm-1 (CH3), 1700 cm-1 (C=O), and 1000–1300 cm-1 (C–O). There was not much difference observed in the FTIR raw spectra of the samples from both sources. The quality and accuracy of the classification models by PCA and soft independent modeling classification analogy (SIMCA) have shown to improve using spectra optimized by first derivative followed by SNV smoothing. Conclusion: This rapid and cost-effective technique has the potential to be expanded as an authentication strategy for halal pharmaceuticals.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded135    
    Comments [Add]    
    Cited by others 1    

Recommend this journal