scholarly journals Phytopharmacognostic Evaluation and Fourier Transform Infrared Fingerprint in the Quality Control of Various Culinary Herbs: AN ULTIMATE REMEDY IN ASIA

2021 ◽  
Vol 9 (1) ◽  
pp. 46-58
Author(s):  
Kaneez Fatima ◽  
Shaukat Khalid ◽  
Imran Ahmed ◽  
Kiran Qadeer ◽  
Nudrat Fatima ◽  
...  
Keyword(s):  
Quality Control ◽  
Fourier Transform ◽  
Structural Information ◽  
Fourier Transform Infrared ◽  
Local Market ◽  
Syzygium Aromaticum ◽  
Traditional Practice ◽  
Microscopic Evaluation ◽  
Culinary Herbs

Background: The quality and efficacy of culinary herbs commonly practiced in Asia as a remedy for seasonal illnesses such as cold, flu, congestion, fever and inflammation, etc. The extemporaneous preparations of these culinary herbs are being formulated as traditional practice either in the form of extract, decoction, and paste etc. These culinary herbs are being practiced for curing sporadic illnesses since ancient time. Objectives: In present study five herbs’ i.e. Elettaria cardamomum (cardamom), Cinnamomum zeylanicum (cinnamon), Carum carvi (caraway), Oreganum vulgare (oregano) and Syzygium aromaticum (clove) have been obtained from the market to assure quality of herbs in local market. Methodology: Various quality control tests including microscopic evaluation, physico-chemical characteristics, Thin layer chromatography (TLC) and Fourier Transform Infrared spectroscopy (FTIR) have been performed to determine their compliance with the standards. The TLC has been used for the identification of the active ingredients on comparison of their Rf values with the reference standard. FTIR Spectra of these materials have been obtained to identify and confirm structural information and assignment of functional groups. Results: Many of the herbal samples used in this study have been complied with the available official standards as given in Pharmacopoeia. If the samples did not comply with the standards then it indicates that the sample belongs to spurious quality of raw herb, which is the prime cause that may interfere with the therapeutic efficacy and variability of outcomes. Conclusion: This study help to provide a significant data to herbal drug manufacturers for authentication of commercially available herbs which may be used in the formulation of extemporaneous or commercially available herbal medicine.

scholarly journals Estimation of Minced Pork Microbiological Spoilage through Fourier Transform Infrared and Visible Spectroscopy and Multispectral Vision Technology

Foods ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 238 ◽  
Author(s):  
Lemonia-Christina Fengou ◽  
Evgenia Spyrelli ◽  
Alexandra Lianou ◽  
Panagiotis Tsakanikas ◽  
Efstathios Z. Panagou ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Mean Squared Error ◽  
External Validation ◽  
Microbiological Quality ◽  
Fourier Transform Infrared ◽  
Coefficient Of Determination ◽  
Validation Dataset ◽  
Dynamic Temperature ◽  
Vis Spectroscopy

Spectroscopic and imaging methods coupled with multivariate data analysis have been increasingly studied for the assessment of food quality. The objective of this work was the estimation of microbiological quality of minced pork using non-invasive spectroscopy-based sensors. For this purpose, minced pork patties were stored aerobically at different isothermal (4, 8, and 12 °C) and dynamic temperature conditions, and at regular time intervals duplicate samples were subjected to (i) microbiological analyses, (ii) Fourier transform infrared (FTIR) and visible (VIS) spectroscopy measurements, and (iii) multispectral image (MSI) acquisition. Partial-least squares regression models were trained and externally validated using the microbiological/spectral data collected at the isothermal and dynamic temperature storage conditions, respectively. The root mean squared error (RMSE, log CFU/g) for the prediction of the test (external validation) dataset for the FTIR, MSI, and VIS models was 0.915, 1.173, and 1.034, respectively, while the corresponding values of the coefficient of determination (R2) were 0.834, 0.727, and 0.788. Overall, all three tested sensors exhibited a considerable potential for the prediction of the microbiological quality of minced pork.

scholarly journals Fourier transform infrared spectroscopy for in-process inspection, counterfeit detection and quality control of anti-diabetic drugs

2011 ◽  
Vol 26 (4-5) ◽  
pp. 297-309 ◽  
Author(s):  
Faten Farouk ◽  
Bahia Abbas Moussa ◽  
Hassan Mohamed El-Said Azzazy
Keyword(s):  
Quality Control ◽  
Fourier Transform ◽  
Sampling Technique ◽  
Standard Addition ◽  
Fourier Transform Infrared ◽  
Metformin Hydrochloride ◽  
Counterfeit Medicine ◽  
Validation Parameters ◽  
Significant Difference ◽  
Ft Ir

The purpose of this study is to develop simple and cost-effective Fourier transform infrared (FT-IR) methods for quality control evaluation of repaglinide (RPG), rosiglitazone maleate (RGZ), pioglitazone hydrochloride (PGZ) and metformin hydrochloride (MET) and assess their use for in-process quality control and detection of counterfeit medicine. The conventional KBr disc sampling technique used in FT-IR does not result in constant path-length thus impeding the use of this sensitive and simple technique for quantification of drugs. In this study, FT-IR quantitative assays were developed using a constant KBr disc pathlength to quantify drugs in bulk and tablets. Method validation was done according to the International Conference on Harmonization (ICH) guidelines and recovery studies were performed by applying standard addition technique. Samples representing pitfalls at different tablet manufacturing stages and counterfeit medicines were prepared and tested by FT-IR. The developed methods achieved ICH validation parameters. Statistical comparison of the results with reference or reported methods showed no significant difference with respect to method accuracy and precision. The methods were applicable to tablet dosage form with average recovery ranging between 99 and 102%. The developed methods are capable of detecting impurities that result from in-process manufacturing problems and counterfeit products and are inclusive for in-process and end product testing.

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