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.pdfDownload PDFhttps://doi.org/10.31032/IJBPAS/2020/9.5.5067