| Penulis/Author |
ANITA AGUSTINA STYAWAN (1); Prof. Dr. apt. Ratna Asmah Susidarti, MS. (2); Purwanto, M.Sc., Ph.D., Apt. (3); IRNAWATI (4); Prof. Dr. Abdul Rohman, S.F., M.Si., Apt. (5) |
| Abstrak/Abstract |
One of the herbals widely employed in Indonesian Traditional medicine for preventing diseases and promoting
human health is ginger (Zingiber officinale Roscoe). The active components in ginger contributed to their biological
activities; however, the levels of active components depend on some factors such as altitudes and harvesting time.
This study intended to use the chemometrics technique for the classification and discrimination of Indonesian ginger
using antioxidant activities, total determination of phenolics compounds (TPC), total determination of flavonoid
compounds (TFC), and Fourier Transform Infra Red (FTIR) spectra as variables. The samples of ginger variety emprit
(Z. officinale Roscoe) were obtained from 14 locations: Bantul, Kulon Progo (Yogyakarta), Banyumas, Boyolali,
Karanganyar, Magelang, Purworejo, Semarang, Temanggung, Wonogiri, Wonosobo (Central Java), Magetan, Pacitan,
and Ponorogo (East Java). Principal component analysis (PCA) results revealed that Indonesian ginger could be
discriminated and classified using scores of 1st components (PC1) and 2nd components (PC2) applying antioxidant
activity, TPC, and TFC as variables. Based on the loading plot of PCA, there is a high correlation between antioxidant
activity and TFC (R2 = 0.9339) and a moderate correlation between antioxidant activity and TPC (R2 = 0.7395).
Hierarchical cluster analysis informed that Indonesian ginger could be clustered, in which gingers from Semarang
and Wonosobo revealed the highest similarity and were first joined. Using FTIR spectra as variables, PCA is also
capable of discriminating Indonesian ginger according to its origin. There is an agreement in PCA results using both
FTIR spectra and antioxidant activity, TPC, and TFC in which gingers from Semarang and Wonosobo revealed similar
PC1 and PC2. We concluded that the application of the pattern recognition technique is an effective tool for the
discrimination and characterization of ginger in specific and herbal components in general. |
