| Literature DB >> 32104416 |
Wantanwa Krongrawa1, Sontaya Limmatvapirat1, Nushjira Pongnimitprasert2, Paranee Meetam3, Chutima Limmatvapirat4.
Abstract
The biological activity of coconut (Cocos nucifera L.) extracts from its kernels and various parts was reported by many previous studies, it is therefore believable that the extracts of its kernels might show some activities in topical formulations. Among several kernel extracts, the TC06 extract prepared by soaking the steamed coconut kernels in hot water showed the highest total phenolic content (6.98 ± 0.30 mg GAE/g extract) and the strongest antioxidant activity as determined using FRAP and DPPH methods with a reducing power value of 4.12 ± 0.16 mg AAE/g of extract and an SC50 value of 2.38 ± 0.14 mg/ml, respectively. In addition, this extract did not display any cytotoxic effects in the concentration range of 50-3200 µg/ml. Meanwhile, it revealed cytoprotective effects against t-BHP-induced cytotoxicity in HaCaT cells at concentrations higher than 400 µg/ml. The results of phytochemical investigations including a chemical color test, TLC, 1H NMR and FTIR suggested that the TC06 extract was mainly composed of flavonoids and terpenoids. Furthermore, the concentrations of heavy metals including As, Cd, Hg, and Pb in the TC06 extract were below permissible limits. According to the solubility, the TC06 extract was incorporated into gels using Carbopol Ultrez 21 as a gelling agent. The formulated gel containing 3% (w/w) TC06 extract was stable at 4 °C and 25 °C with 75% RH throughout the storage period. It was found that the Carbopol Ultrez 21-based hydroalcoholic gel containing an aqueous extract of coconut kernels exhibited antioxidant activities in the two assays and showed a sufficient consistency, a pleasing color, and a non-oily perception during the period of observation.Entities:
Keywords: Antioxidant activity; Coconut kernel; Extract; Gel; Phytochemical screening
Year: 2018 PMID: 32104416 PMCID: PMC7032164 DOI: 10.1016/j.ajps.2018.01.005
Source DB: PubMed Journal: Asian J Pharm Sci ISSN: 1818-0876 Impact factor: 6.598
Code of extracts showing various kinds of kernels and extraction conditions.
| Code of extracts | Kernel types | Extraction conditions | ||||
|---|---|---|---|---|---|---|
| Fresh kernel | Steamed kernel | Dried kernel | Maceration with 95% (v/v) ethanol for 24 h | Maceration with 50% v/v ethanol for 24 h | Soaking in hot water (100 °C) for 30 min | |
| TC01 | √ | √ | ||||
| TC02 | √ | √ | ||||
| TC03 | √ | √ | ||||
| TC04 | √ | √ | ||||
| TC05 | √ | √ | ||||
| TC06 | √ | √ | ||||
| TC07 | √ | √ | ||||
| TC08 | √ | √ | ||||
| TC09 | √ | √ | ||||
Extract yields, total phenolic contents, and antioxidant activities of coconut kernel extracts.
| Code of extracts | Extract yields (%) | Total phenolic contents (mg GAE/g extract) | DPPH SC50 (mg/ml) | FRAP reducing power values (mg AAE/g extract) |
|---|---|---|---|---|
| TC01 | 1.88 | 3.39 ± 0.34b | 2.63 ± 0.20bcd | 4.06 ± 0.21e |
| TC02 | 1.32 | 2.55 ± 0.19a | 3.06 ± 0.39bcd | 2.24 ± 0.37bcd |
| TC03 | 3.63 | 4.73 ± 0.27d | 3.42 ± 0.42cd | 1.55 ± 0.99bc |
| TC04 | 1.11 | 4.37 ± 0.32cd | 2.56 ± 0.43bc | 2.28 ± 0.33cd |
| TC05 | 1.59 | 3.39 ± 0.32b | 2.62 ± 0.48bcd | 1.47 ± 0.42b |
| TC06 | 1.66 | 6.98 ± 0.30e | 2.38 ± 0.14b | 4.12 ± 0.16e |
| TC07 | 1.70 | 3.56 ± 0.50b | 3.25 ± 0.19bcd | 2.13 ± 0.09bcd |
| TC08 | 2.15 | 2.55 ± 0.19a | 3.32 ± 0.66cd | 2.47 ± 0.39d |
| TC09 | 3.88 | 4.11 ± 0.14c | 3.47 ± 0.56d | 0.63 ± 0.10a |
| n/a | n/a | 0.02 ± 0.00a | n/a |
* SC50: Concentration that produces 50% scavenging of the DPPH; Reducing property: milligram of ascorbic acid equivalent per gram of an extract (mg AAE/g extract); n/a: not applicable.
Each value is represented as mean ± SD (n = 3).
a–eValues in the same column followed by different letters are significantly different (P < 0.05).
Fig. 1Physical appearances of coconut kernel extracts (TC01–TC09).
Fig. 2TLC patterns of TC01–TC09 extracts (1–9) and reference standards (LA, lauric acid; ML, monolaurin; DL, dilaurin; TL, trilaurin) developed in a mobile phase containing hexane: dichloromethane: ethyl acetate (8:1:1, v/v/v) and exposed to iodine vapor.
Fig. 3FTIR spectrum of TC06 extract.
Fig. 41H NMR spectrum of TC06 extract.
Effects of TC06 extract on cell cytotoxicity, cytoprotection, and ROS production of HaCaT cells.
| Concentrations of TC06 extract (µg/ml) | Cell viability on HaCaT cells (% of control) | ROS production (% of control) | |
|---|---|---|---|
| Cell cytotoxicity pretreated with TC06 extract | Cytoprotective effect exposed to | ||
| Control | 100.00 ± 0.00b | 100.00 ± 0.00e | 100.00 ± 0.00a |
| Treatment with | n/a | 48.02 ± 6.01ab | 172.15 ± 29.67b |
| 50 | 91.12 ± 2.35ab | 45.15 ± 5.74a | 173.27 ± 27.34b |
| 100 | 92.37 ± 6.43ab | 53.69 ± 9.40abc | 168.73 ± 29.92b |
| 200 | 91.56 ± 2.74ab | 56.09 ± 6.97bcd | 164.08 ± 29.97b |
| 400 | 92.38 ± 6.37ab | 58.52 ± 5.40cd | 157.99 ± 28.44b |
| 800 | 94.43 ± 7.86ab | 64.25 ± 3.65d | 147.56 ± 26.46ab |
| 1600 | 90.22 ± 4.87a | 65.93 ± 4.06d | 136.74 ± 24.71ab |
| 3200 | 91.77 ± 2.11ab | 65.63 ± 1.99d | 134.67 ± 23.64ab |
*n/a: not applicable.
Each value is represented as mean ± SD (n = 3).
a-eValues in the same column followed by different letters are significantly different (P < 0.05).
Fig. 5Physical appearances of formulated gels (A) containing 3% w/w TC06 extract and gels (B) containing 1% (w/w) ascorbic acid at different storage conditions.
DPPH antioxidant activities of the formulated gel containing 3% w/w TC06 extract and gel containing 1% w/w ascorbic acid after stability test.
| Stability conditions | DPPH SC50 (mg/ml) | |
|---|---|---|
| Formulated gel containing 3% (w/w) of TC06 extract | Control gel containing 1% (w/w) of ascorbic acid | |
| Freshly prepared | 2.63 ± 0.20a | 12.13 ± 0.81a |
| Six cycles of temperature cycling test | 2.94 ± 0.28a | 145.96 ± 0.12d |
| At 25 °C with 75% RH | 2.91 ± 0.25a | 223.42 ± 0.72c |
| At 4 °C with 75% RH | 2.65 ± 0.26a | 52.46 ± 0.06b |
| At 45 °C with 75% RH | 2.96 ± 0.47a | 513.20 ± 0.09e |
*SC50: Concentration that produces 50% scavenging of the DPPH.
Each value is represented as mean ± SD (n = 3).
a-eValues in the same column followed by different letters are significantly different (P < 0.05).