• Korean Journal of Food Science and Technology
• /
• v.42 no.1
• /
• pp.97-102
• /
• 2010

Curcuminoids are polyphenolic compounds and include curcumin and its derivatives possessing a yellow color. In the present study, changes in the chemical stability and antioxidant activities of curcuminoids, including curcumin, demethoxycurcumin (DMC), and bisdemethoxycurcumin (BMC), were investigated under various processing conditions. The yellowness of a mixture of the curcuminoids (79.4% curcumin, 16.8% DMC, and 3.8% BMC) at 405 nm was proportional to their amounts analyzed by HPLC. The curcuminoids became less stable with increases of pH and temperature during storage. Exposing a solution of the curcuminoids to autoclave conditions ($121^{\circ}C$, 1.2 atm for 15 min) decreased residual curcuminoid levels by 80-90%; however, as a powder under the same conditions the curcuminoids were much more stable with less than 10% loss. After autoclave treatment, scavenging activities of the curcuminoids for DPPH and ABTS radicals were reduced by 10.3 and 33.4%, respectively, whereas nitric oxide scavenging activity was slightly increased. The residual levels of curcumin, DMC, and BMC after autoclaving were 0.7, 1.4, and 0.9%, respectively, indicating that curcumin was the most sensitive to autoclave treatment. The results indicate that under processing conditions, pH and temperature markedly affect the stability of curcuminoids and major losses of curcuminoids occur after autoclaving. These conditions should be considered when processing foods containing curcuminoids.

• Bulletin of the Korean Chemical Society
• /
• v.33 no.9
• /
• pp.2849-2850
• /
• 2012

• Bulletin of the Korean Chemical Society
• /
• v.34 no.6
• /
• pp.1643-1650
• /
• 2013

A non linear QSAR model was constructed on a series of 57 xanthone and curcuminoide derivatives as ${\alpha}$-glucosidase inhibitors by back-propagation neural network method. The neural network architecture was optimized to obtain a three-layer neural network, composed of five descriptors, nine hidden neurons and one output neuron. A good predictive determination coefficient was obtained (${R^2}_{Pset}$ = 86.7%), the statistical results being better than those obtained with the same data set using a multiple regression analysis (MLR). As in the MLR model, the descriptor MATS7v weighted by Van der Waals volume was found as the most important independent variable on the ${\alpha}$-glucosidase inhibitory.

• CELLMED
• /
• v.2 no.4
• /
• pp.31.1-31.7
• /
• 2012

Curcuma longa belongs to the family Zingiberaceae and can be found in the tropical and subtropical regions of the world. It is widely used in Asiatic countries, especially India and South East Asia where it is cultivated commercially as a condiment. Its rhizomes exhibit anti-inflammatory, anti-human immunodeficiency virus, anti-bacterial, antioxidant effects, nematocidal activities, antiproliferative and antiangiogenic activities and are of pharmaceutical importance. Another relevant medicinal property exhibited by it is antidiabetic property which is reviewed here. Studies on the efficacy of crude C.longa extracts against type 2 diabetes in murine models reveal that it demonstrates a hypoglycemic effect by lowering the blood glucose levels under in vivo conditions. Clinical studies have revealed the safety of curucmin (major principle component exhibiting pharmaceutical properties from C.longa) on humans but with very low bioavailability. In view of its effective hypoglycemic effect and its low bioavailability, further studies are needed for the characterization of the bioactive principles and formulating the development of C.longa extracts as a novel anti-diabetic therapeutic agent.