FINGERPRINT ANALYSIS IN DETECTING PLANT-BASED ADULTERANT IN HERBAL PREPARATIONS FROM INDONESIAN CURCUMA AERUGINOSA ROXB. USING FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY
Authors: Andriansyah I , PRATAMA A AND ASNAWI A*

ABSTRACT
Curcuma aeruginosa Roxb. usually consume as traditional medicine by processing themselves traditionally while purchasing instant traditional medicinal products on the market. But the lack of standard quality control of herbal medicine resulted in a lot of fraud in this regard. So, it is necessary to do quality control because herbal medicine usually consists of a mixture of several components. Fingerprint analysis is one method that can be utilized for evaluation and control of multicomponent quality of raw materials of herbal medicine. This study aims to detect turmeric adulterant on curcuma aeruginosa instant product inventory using fingerprint analysis via FTIR spectroscopy. Research stages include raw simplicial and instant sample extraction using maceration method with ethanol 96%. Furthermore, FTIR spectrum measurement was performed on wave number 4000-650 cm-1 and resolution of 4 cm-1 using Micro Lab Expert application, reflecting handling technique. Measurement results are analyzed by chemo metric method Principal Component Analysis (PCA) to produce data in the form of score and loading. Of the three samples of instant black Curcuma extract tested, the results of two samples had the same characteristics as Curcuma aeruginosa Roxb. This indicated two negative samples containing turmeric adulterant while one sample did not have the same characteristics as black Curcuma or turmeric allegedly there were another adulteress. Fingerprint analysis using FTIR combined using the PCA method is capable of detecting adulteries in instant black dosage form and is able to detect the characteristic equations of raw Curcuma aeruginosa Roxb.and turmeric raw extract. Keywords: Chemo metric, Curcuma aeruginosa Roxb., Fingerprint analysis, Fourier Transform Infra Red (FTIR), Turmeric, Principal Component Analysis (PCA)
Publication date: 01/05/2020
    https://ijbpas.com/pdf/2020/May/MS_IJBPAS_2020_5067.pdf
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https://doi.org/10.31032/IJBPAS/2020/9.5.5067