TLC-Based Metabolite Profiling and Bioactivity-Based Scientific Validation for Use of Water Extracts in AYUSH Formulations
Table 3
DPPH free radical scavenging and reducing power capacity of different extracts of plant materials.
S. no.
Plant sample
DPPH scavenging activity (IC50 (μg/mL))
Reducing power capacity (μg/mL) Mean ± SD
WE
EE
HEE
WE
EE
HEE
1
Phyllanthus emblica
97.26 ± 1.14
124.89 ± 3.45
115.45 ± 2.45
100 ± 10
160 ± 20
120 ± 10ns
2
Piper nigrum
112.18 ± 2.11
222.34 ± 2.36
210.89 ± 0.45
140 ± 20
240 ± 10
220 ± 10
3
Withania somnifera
85.96 ± 3.42
115.65 ± 3.63
91.26 ± 1.11ns
100 ± 10
140 ± 20
120 ± 10ns
4
Tinospora cordifolia
105.65 ± 3.33
185.56 ± 2.56
177.23 ± 2.31
120 ± 10
200 ± 10
180 ± 20
5
Curcuma longa
199.15 ± 0.42
285.47 ± 4.56
205.66 ± 1.75ns
200 ± 30
300 ± 10
220 ± 20ns
6
Ocimum sanctum
201.56 ± 1.11
245.25 ± 3.21
223.45 ± 3.33
240 ± 20
280 ± 20ns
220 ± 10ns
7
Azadirachta indica
156.83 ± 0.88
171.22 ± 2.56
162.32 ± 2.11
160 ± 10
200 ± 20ns
180 ± 30ns
8
Achillea millefolium
185.65 ± 1.23
145.56 ± 2.22
152.23 ± 2.56
160 ± 20
180 ± 20ns
200 ± 20ns
9
Ascorbic acid
55.37 ± 1.25
80 ± 10
Data are expressed as mean ± SD (n = 3). One-way ANOVA followed by Tukey’s multiple comparisons test. Compared to WE (water extract): ,,; ns .WE = water extract; EE = ethanolic extract; HEE = hydroethanolic extract.