| dc.creator |
TRIYASMONO, LILING |
|
| dc.creator |
CAHAYA, NOOR |
|
| dc.creator |
Nugrahadi, Dodon T |
|
| dc.creator |
Rohman, Abdul |
|
| dc.date.accessioned |
2020-06-15T03:57:16Z |
|
| dc.date.available |
2020-06-15T03:57:16Z |
|
| dc.identifier |
http://eprints.ulm.ac.id/1406/1/Abstract_Seminar_International_Liling_Triyasmono.pdf |
|
| dc.identifier |
TRIYASMONO, LILING and CAHAYA, NOOR and Nugrahadi, Dodon T and Rohman, Abdul APPLICATION OF FTIR SPECTROSCOPY AND PARTIAL LEAST SQUARE REGRESSION ON THE PREDICTION OF THE TOTAL FLAVONOID OF KALIMANTAN’S KASTURI (Mangifera casturi). APPLICATION OF FTIR SPECTROSCOPY AND PARTIAL LEAST SQUARE REGRESSION ON THE PREDICTION OF THE TOTAL FLAVONOID OF KALIMANTAN’S KASTURI (Mangifera casturi). |
|
| dc.identifier.uri |
https://repo-dosen.ulm.ac.id//handle/123456789/9927 |
|
| dc.description |
Fourier transform infrared (FTIR) spectroscopy combined with chemometrics of multivariate calibration
of partial least square (PLS) regression is developed for analysis of total flavonoid content determination
of Kasturi. Kasturi (Mangifera casturi) is one of the typical plant in South Kalimantan. Kasturi contain
flavonoids. Kasturi has been reported ta have some biological activities such as antioxidant,
immunomudalotory ; and antiinflamatory. PLSR was choosed to developed the prediction total flavonoid
content. The calibration model was prepared by making the relationship between actual values of total
flavonoid as determined using standard method spectrophotometrically in visible region (AlCl3 method)
and FTIR predicted value aid with PLS. The developed calibration model was further validated using
independent samples.The coefficient determination (R2) values for such correlation obtained are 0.998
and 0.995 for calibration and validation samples, respectively. The root mean square error of calibration
(RMSEC) value of the developed model was 0.205% and the root mean square error of prediction
(RMSEP) value was 0.831. Based on these findings, it can be concluded that FTIR spectroscopy
combined with PLS can be used accurately and precisely to predict the total flavonoid content of kasturi
with the regression equation of predicted value (y) = 0.979 x actual value as determined by AlCl3 method
+ 0.065.
Keywords: FTIR spectroscopy, partial least square regression, Kasturi, Total Flavonoid, |
|
| dc.format |
text |
|
| dc.relation |
http://farmasi.unpad.ac.id/ispst2016/ |
|
| dc.relation |
http://eprints.ulm.ac.id/1406/ |
|
| dc.subject |
QE Geology |
|
| dc.title |
APPLICATION OF FTIR SPECTROSCOPY AND PARTIAL LEAST SQUARE REGRESSION
ON THE PREDICTION OF THE TOTAL FLAVONOID OF KALIMANTAN’S KASTURI
(Mangifera casturi) |
|
| dc.type |
Article |
|
| dc.type |
PeerReviewed |
|