Analgesic Activity Test Of Leunca Leaves (Solanum nigrum L.) Ethanol Extract With Randall Selitto Method

Abstract: Pain is a sensory and emotional experience related to tissue damage. This study aims to determine the analgesic effect of leunca leaf ethanol extract and determine the dose of leunca leaf ethanol extract that has the highest analgesic activity with the Randall Selitto method. Randall Selitto method has been widely used for the development of non-steroidal anti-inflammatory drugs. Leunca leaf powder was extracted using maceration method with 96% ethanol solvent. A total of 25 wistar male white rats were divided into 5 groups, namely positive control mefenamic acid 9 mg / 200 g BW, negative control CMC Na 1%, ethanol extract of leunca leaves doses of 5 mg / 200 g BW, 10 mg / 200 g BW and 20 mg / 200 g BW. The data obtained were analyzed by ANOVA test, then LSD test was used to determine the differences between groups. The results showed that the extract doses of 5 mg / 200 g BW, 10 mg / 200 g BW, 20 mg / 200 g BW and positive control were significantly different from the negative control group. The extract dose of 20 mg / 200 g BB is comparable to the positive control, indicating that the extract dose of 20 mg / 200 g BB has the highest analgesic activity. Steroid and flavonoid compounds contained in leunca leaves are thought to have an effect as analgesics.

Authors

Publication Details

Journal
JURNAL PIJAR MIPA
Published
2025-03-14
DOI
https://doi.org/10.29303/jpm.v20i2.8439
Citations
1
Primary Topic
Potato Plant Research
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analgesic Activity Test Of Leunca Leaves (Solanum nigrum L.) Ethanol Extract With Randall Selitto Method

Sri Winarni Sofya, Mia Ariasti
1 citations
JURNAL PIJAR MIPA
Potato Plant Research
1.16
article

Analgesic Activity Test Of Leunca Leaves (Solanum nigrum L.) Ethanol Extract With Randall Selitto Method

Sri Winarni Sofya, Mia Ariasti
article en
1 citations

Abstract

Abstract: Pain is a sensory and emotional experience related to tissue damage. This study aims to determine the analgesic effect of leunca leaf ethanol extract and determine the dose of leunca leaf ethanol extract that has the highest analgesic activity with the Randall Selitto method. Randall Selitto method has been widely used for the development of non-steroidal anti-inflammatory drugs. Leunca leaf powder was extracted using maceration method with 96% ethanol solvent. A total of 25 wistar male white rats were divided into 5 groups, namely positive control mefenamic acid 9 mg / 200 g BW, negative control CMC Na 1%, ethanol extract of leunca leaves doses of 5 mg / 200 g BW, 10 mg / 200 g BW and 20 mg / 200 g BW. The data obtained were analyzed by ANOVA test, then LSD test was used to determine the differences between groups. The results showed that the extract doses of 5 mg / 200 g BW, 10 mg / 200 g BW, 20 mg / 200 g BW and positive control were significantly different from the negative control group. The extract dose of 20 mg / 200 g BB is comparable to the positive control, indicating that the extract dose of 20 mg / 200 g BB has the highest analgesic activity. Steroid and flavonoid compounds contained in leunca leaves are thought to have an effect as analgesics.

JURNAL PIJAR MIPAVol. 20(2)
Openalex Percentile: Top 24%
Potato Plant Research
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analgesic Activity Test Of Leunca Leaves (Solanum nigrum L.) Ethanol Extract With Randall Selitto Method — Sri Winarni Sofya, Mia Ariasti · JURNAL PIJAR MIPA (2025) | TGRS Research Map | TGRS