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 2900cm-1 (C-H), 2800cm-1 (CH3), 1700cm-1 (C=O), and 1000-1300cm-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.
METHODS: We searched online databases for all related papers through the comprehensive international data bases of Institute of PubMed/ MEDLINE, ISI/WOS and Scopus up to December 2019, using relevant keywords. Overall, 14 studies were included in this systematic review and meta-analysis.
RESULTS: The total sample size of all selected studies was 399,550 individuals with age range of 6 to ≥65 years old. We found a significant positive association between skipping breakfast and Odds Ratio (OR) of depression (pooled OR: 1.39; 95% CI: 1.34-1.44), stress (pooled OR: 1.23; 95% CI: 1.04-1.43) and psychological distress (pooled OR: 1.55; 95% CI: 1.47-1.62). In contrast, there was no significant association between skipping breakfast and anxiety in all age cohort (pooled OR: 1.31; 95% CI: 0.97-1.65). However, subgroup analysis based on age stratification showed that there was a significant positive association between skipping breakfast and anxiety in adolescences (pooled OR: 1.51; 95% CI: 1.25-1.77).
CONCLUSION: In conclusion, skipping breakfast was positively associated with odds of depression, stress and psychological distress in all age groups and anxiety in adolescence, underlining impact of breakfast on mental health.