Isolation, characterization, and analysis of pure compounds from Leea macrophylla leaf extract for antibacterial, antidiabetic, cytotoxicity and phytotoxicity
Md. Selim Reza , Md. Badrul Islam , Samia Sharmin , Farzana Mim , A.B.M. Hamidul Haque , Md. Sabir Hossain , Farha Matin Juliana , Subrata Banik , Kazi Rasel Uddin , Md. Mahmudul Hasan , Salina Akter , Afroza Parvin , Md. Omar Ali Mondal
{"title":"Isolation, characterization, and analysis of pure compounds from Leea macrophylla leaf extract for antibacterial, antidiabetic, cytotoxicity and phytotoxicity","authors":"Md. Selim Reza , Md. Badrul Islam , Samia Sharmin , Farzana Mim , A.B.M. Hamidul Haque , Md. Sabir Hossain , Farha Matin Juliana , Subrata Banik , Kazi Rasel Uddin , Md. Mahmudul Hasan , Salina Akter , Afroza Parvin , Md. Omar Ali Mondal","doi":"10.1016/j.bbrep.2024.101841","DOIUrl":null,"url":null,"abstract":"<div><div>This research aims to isolate, characterize, and analyze pure compounds from <em>Leea macrophylla</em> leaf extract to investigate its antibacterial, antidiabetic, cytotoxic, and phytotoxic effects. Fresh leaves were collected, dried, and subjected to methanol extraction to obtain a crude extract. From the petroleum ether fraction (PEF) of this extract, three fractions—designated LM1, LM2, and LM3—were prepared using column chromatography. The fractions were tried to be characterized in search for single compound by instrumental technique like ATR-FTIR, <sup>1</sup>H NMR and <sup>13</sup>C NMR but the <sup>1</sup>H NMR and <sup>13</sup>C NMR spectra were found complex which were difficult to interpret. To dispel the doubt and get clear idea about the structure, GC-MS analysis of the compounds was carried out whose result showed that all the three extracts were decomposed to several small organic compounds that made the structure elucidation difficult. For this complication, the characterization of the extracts was not possible. Numerous compounds were identified in the methanol extract of <em>L.</em> <em>macrophylla</em> through GC-MS analysis. Among these compounds, Benzene, 1,2,3-trimethyl- and Undecane were found in higher percentages in LM1. LM2 contained Azulene and Bicyclo [4.4.1]undeca-1,3,5,7,9-pentaene, while LM3 was characterized by the presence of 9,9-Dimethoxybicyclo [3.3.1]nona-2,4-dione and 11-(2-Cyclopenten-1-yl)undecanoic acid, among others. The antibacterial activity of these fractions was evaluated against various bacterial strains, demonstrating broad-spectrum effectiveness. LM1 fraction showed the highest antibacterial activity against <em>Proteus</em> sp. With zone of inhibition 25 mm and weak activity against <em>S. sonnei</em> with zone of inhibition 5 mm. LM2 showed the highest activity to both <em>E. cocci</em> and <em>P. aeruginosa</em> with the zone of inhibition of 18 mm and comparatively lower but significant against <em>Proteus</em> sp. LM3 was highly active to <em>S. sonnei</em> with zone of inhibition 20 mm and lower but quite significant against <em>Proteus</em> sp. Moreover, the anti-diabetic potential was assessed, with LM1 showing the strongest α-amylase inhibitory activity, outperforming quercetin (standard). The IC50 values of LM1, LM2, LM3, and quercetin were 57.36 μg/mL, 100.66 μg/mL, 164.92 μg/mL, and 97.45 μg/mL, respectively. In addition, cytotoxicity was assessed using a brine shrimp lethality bioassay, and phytotoxicity was evaluated through seed germination and growth assays. The results suggest that <em>L.</em> <em>macrophylla</em> leaf extracts have potential applications in antimicrobial, antidiabetic, and anti-cancer contexts. This comprehensive study bridges gaps in knowledge surrounding <em>L.</em> <em>macrophylla's</em> multifaceted properties, offering insights into its therapeutic and ecological potential for healthcare and environmental management.</div></div>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"40 ","pages":"Article 101841"},"PeriodicalIF":2.3000,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemistry and Biophysics Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S240558082400205X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This research aims to isolate, characterize, and analyze pure compounds from Leea macrophylla leaf extract to investigate its antibacterial, antidiabetic, cytotoxic, and phytotoxic effects. Fresh leaves were collected, dried, and subjected to methanol extraction to obtain a crude extract. From the petroleum ether fraction (PEF) of this extract, three fractions—designated LM1, LM2, and LM3—were prepared using column chromatography. The fractions were tried to be characterized in search for single compound by instrumental technique like ATR-FTIR, 1H NMR and 13C NMR but the 1H NMR and 13C NMR spectra were found complex which were difficult to interpret. To dispel the doubt and get clear idea about the structure, GC-MS analysis of the compounds was carried out whose result showed that all the three extracts were decomposed to several small organic compounds that made the structure elucidation difficult. For this complication, the characterization of the extracts was not possible. Numerous compounds were identified in the methanol extract of L.macrophylla through GC-MS analysis. Among these compounds, Benzene, 1,2,3-trimethyl- and Undecane were found in higher percentages in LM1. LM2 contained Azulene and Bicyclo [4.4.1]undeca-1,3,5,7,9-pentaene, while LM3 was characterized by the presence of 9,9-Dimethoxybicyclo [3.3.1]nona-2,4-dione and 11-(2-Cyclopenten-1-yl)undecanoic acid, among others. The antibacterial activity of these fractions was evaluated against various bacterial strains, demonstrating broad-spectrum effectiveness. LM1 fraction showed the highest antibacterial activity against Proteus sp. With zone of inhibition 25 mm and weak activity against S. sonnei with zone of inhibition 5 mm. LM2 showed the highest activity to both E. cocci and P. aeruginosa with the zone of inhibition of 18 mm and comparatively lower but significant against Proteus sp. LM3 was highly active to S. sonnei with zone of inhibition 20 mm and lower but quite significant against Proteus sp. Moreover, the anti-diabetic potential was assessed, with LM1 showing the strongest α-amylase inhibitory activity, outperforming quercetin (standard). The IC50 values of LM1, LM2, LM3, and quercetin were 57.36 μg/mL, 100.66 μg/mL, 164.92 μg/mL, and 97.45 μg/mL, respectively. In addition, cytotoxicity was assessed using a brine shrimp lethality bioassay, and phytotoxicity was evaluated through seed germination and growth assays. The results suggest that L.macrophylla leaf extracts have potential applications in antimicrobial, antidiabetic, and anti-cancer contexts. This comprehensive study bridges gaps in knowledge surrounding L.macrophylla's multifaceted properties, offering insights into its therapeutic and ecological potential for healthcare and environmental management.
期刊介绍:
Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.