Natural antimicrobials have gained immense importance for researchers in the food industries in preserving food and increasing its shelf life by inhibiting the growth of microbial cells or by killing them. It can be an alternative to the critical complications of microbial resistance and combat various side effects of some synthetic compounds, alongside fulfilling the food safety requirements. In contrast to the benefits imparted by the natural preservatives, the emerging negative impacts exerted by synthetic preservatives on the health and safety of consumers are leading to the obligation for more systematic research to assess the toxicity and mechanism of action of bio preservatives. This review summarizes the natural antimicrobials that can be utilized in dietary systems of humans and livestock, their mechanism of action, various factors affecting their antimicrobial activity, and their incorporation into nano-system to ensure their safety and efficacy.
{"title":"Natural Antimicrobial as an Alternative Food Preservatives in the Dietary Systems of Human and Livestock","authors":"","doi":"10.33263/lianbs124.119","DOIUrl":"https://doi.org/10.33263/lianbs124.119","url":null,"abstract":"Natural antimicrobials have gained immense importance for researchers in the food industries in preserving food and increasing its shelf life by inhibiting the growth of microbial cells or by killing them. It can be an alternative to the critical complications of microbial resistance and combat various side effects of some synthetic compounds, alongside fulfilling the food safety requirements. In contrast to the benefits imparted by the natural preservatives, the emerging negative impacts exerted by synthetic preservatives on the health and safety of consumers are leading to the obligation for more systematic research to assess the toxicity and mechanism of action of bio preservatives. This review summarizes the natural antimicrobials that can be utilized in dietary systems of humans and livestock, their mechanism of action, various factors affecting their antimicrobial activity, and their incorporation into nano-system to ensure their safety and efficacy.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88707402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Kesharwani, D. Deepika, K. Bharti, A. Jain, S. Sharma, B. Mishra, V. Kumar
The novel coronavirus disease (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), affected millions of people worldwide at an alarming rate. Moreover, the development of vaccines is still hope, but its camouflage mutations during transmission are still a challenge. In the dire condition of this pandemic, drug repurposing with the exploitation of computational modeling has become the cynosure to repurpose the already existing drugs such as remdesivir, Favipiravir, dexamethasone, and other drugs at clinical levels. Furthermore, their safety and efficacy against COVID-19 remain a challenge in different age groups and populations with pre-existing conditions like heart disease, hepatic and renal impairment, pregnancy, and immunocompromised states. Moreover, computational modeling allows studying physiological and biochemical parameters on drug transport, delivery, and therapeutic efficacy of dosage forms. This review explicitly provides a comprehensive account of the challenges and opportunities for developing physiologically based pharmacokinetic models (PBPK) and pharmacodynamic(PD) models to establish a therapeutic dosage regimen based on dose selection, safety, and efficacy. We also highlight the pharmacologic targeting strategies for ACE receptors, toxicity concerns, combination therapy, and drug-drug interactions for different repurposed drugs against COVID-19. In dreadful scenarios, PBPK and PD models hold promise for human PK and dose prediction in COVID-19, along with paving new horizons to improve the therapeutic as well as immuno-therapeutic efficacy using nano-drug delivery approaches, computer-aided drug design (CADD), and speed up clinical trials with a better understanding of quantitative in vitro to in vivo extrapolation (QIVIE) and established PK data.
{"title":"Pharmacotherapeutic and Computational Approaches for Biopharmaceutical Considerations towards Drug Development and Delivery against COVID-19","authors":"P. Kesharwani, D. Deepika, K. Bharti, A. Jain, S. Sharma, B. Mishra, V. Kumar","doi":"10.33263/lianbs124.128","DOIUrl":"https://doi.org/10.33263/lianbs124.128","url":null,"abstract":"The novel coronavirus disease (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), affected millions of people worldwide at an alarming rate. Moreover, the development of vaccines is still hope, but its camouflage mutations during transmission are still a challenge. In the dire condition of this pandemic, drug repurposing with the exploitation of computational modeling has become the cynosure to repurpose the already existing drugs such as remdesivir, Favipiravir, dexamethasone, and other drugs at clinical levels. Furthermore, their safety and efficacy against COVID-19 remain a challenge in different age groups and populations with pre-existing conditions like heart disease, hepatic and renal impairment, pregnancy, and immunocompromised states. Moreover, computational modeling allows studying physiological and biochemical parameters on drug transport, delivery, and therapeutic efficacy of dosage forms. This review explicitly provides a comprehensive account of the challenges and opportunities for developing physiologically based pharmacokinetic models (PBPK) and pharmacodynamic(PD) models to establish a therapeutic dosage regimen based on dose selection, safety, and efficacy. We also highlight the pharmacologic targeting strategies for ACE receptors, toxicity concerns, combination therapy, and drug-drug interactions for different repurposed drugs against COVID-19. In dreadful scenarios, PBPK and PD models hold promise for human PK and dose prediction in COVID-19, along with paving new horizons to improve the therapeutic as well as immuno-therapeutic efficacy using nano-drug delivery approaches, computer-aided drug design (CADD), and speed up clinical trials with a better understanding of quantitative in vitro to in vivo extrapolation (QIVIE) and established PK data.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78518963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This meta-analysis aimed to systematically examine the articles about the practices of nurses to prevent medication errors in hospitals. This research was conducted using the meta-analysis method, one of the quantitative research methods. With the determined keywords, Google Scholar, Web of Science, Scopus, Science Direct, EKUAL, Google Academic EBSCOhost, MEDLINE, CINAHL, PUBMED, and ULAKBİM TIP electronic databases were scanned. Thirty-two full-text articles published in peer-reviewed journals between 2000-2020 were included in the study. The study’s effect size and publication bias included in the meta-analysis were calculated using the CMA 3 (Comprehensive Meta-Analysis) program. The total sample number of the studies included in the analysis is 3894. According to the random-effects model, the overall effect size between medication errors and nursing practices to prevent medication errors was statistically significant, with a value of 1,949 (G.A; 1,463-2,519; p <0.05). As a result of this meta-analysis, it was determined that continuing education, technology-based practices, and mixed methods (correct principles in drug administration, prevention of interruptions and divisions, policies and procedures) effectively prevent medication administration errors in the hospital.
{"title":"Nursing Practices Towards Prevention of Medication Errors: A Systematic Review and Meta-Analysis","authors":"","doi":"10.33263/lianbs124.124","DOIUrl":"https://doi.org/10.33263/lianbs124.124","url":null,"abstract":"This meta-analysis aimed to systematically examine the articles about the practices of nurses to prevent medication errors in hospitals. This research was conducted using the meta-analysis method, one of the quantitative research methods. With the determined keywords, Google Scholar, Web of Science, Scopus, Science Direct, EKUAL, Google Academic EBSCOhost, MEDLINE, CINAHL, PUBMED, and ULAKBİM TIP electronic databases were scanned. Thirty-two full-text articles published in peer-reviewed journals between 2000-2020 were included in the study. The study’s effect size and publication bias included in the meta-analysis were calculated using the CMA 3 (Comprehensive Meta-Analysis) program. The total sample number of the studies included in the analysis is 3894. According to the random-effects model, the overall effect size between medication errors and nursing practices to prevent medication errors was statistically significant, with a value of 1,949 (G.A; 1,463-2,519; p <0.05). As a result of this meta-analysis, it was determined that continuing education, technology-based practices, and mixed methods (correct principles in drug administration, prevention of interruptions and divisions, policies and procedures) effectively prevent medication administration errors in the hospital.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90273532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Lamba, N. Chakraborty, K. C. Juglan, Harsh Kumar
The density and speed of sound for an aqueous solution containing Vitamin B7 (biotin) at variant temperatures from (288.15K to 318.15K) and (0.000 to 0.003) mol.kg-1 concentration has been measured with Anton Paar DSA 5000 M at constant pressure 0.1 MPa. The observed data were used to derive various thermo-acoustic parameters. Acoustic impedance, adiabatic compressibility, Vander Waal’s constant, Rao’s constant, Wada’s constant, and intermolecular free length were determined by the obtained speed of sound and density values. In addition, the ternary mixture of biotin and glycols (Propylene glycol and hexylene glycol) shows the intermolecular (solute-solvent) interactions inside the liquid solution.
用Anton Paar DSA 5000 M测量了含维生素B7(生物素)水溶液在(288.15K ~ 318.15K)和(0.000 ~ 0.003)mol.kg-1浓度下的密度和声速。利用观测数据推导出各种热声参数。声阻抗、绝热压缩系数、范德瓦尔常数、拉奥常数、瓦达常数和分子间自由长度由得到的声速和密度值决定。此外，生物素和乙二醇(丙二醇和己二醇)的三元混合物在液体溶液中显示出分子间(溶质-溶剂)相互作用。
{"title":"Thermodynamic-Acoustic Studies of Mixture Vitamin B7 with Glycols at Different Temperatures","authors":"M. Lamba, N. Chakraborty, K. C. Juglan, Harsh Kumar","doi":"10.33263/lianbs124.133","DOIUrl":"https://doi.org/10.33263/lianbs124.133","url":null,"abstract":"The density and speed of sound for an aqueous solution containing Vitamin B7 (biotin) at variant temperatures from (288.15K to 318.15K) and (0.000 to 0.003) mol.kg-1 concentration has been measured with Anton Paar DSA 5000 M at constant pressure 0.1 MPa. The observed data were used to derive various thermo-acoustic parameters. Acoustic impedance, adiabatic compressibility, Vander Waal’s constant, Rao’s constant, Wada’s constant, and intermolecular free length were determined by the obtained speed of sound and density values. In addition, the ternary mixture of biotin and glycols (Propylene glycol and hexylene glycol) shows the intermolecular (solute-solvent) interactions inside the liquid solution.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76942447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the advancement in technologies, there has been a great expansion of data generation in various fields and disciples, including genomics, pharmacogenomics, epigenomics, transcriptomics, metabolomics, and proteomics. Regarding sequencing technologies, the advent of next-generation sequencing methods has enabled researchers to analyze the entire genome or multiple genes simultaneously for mutation detection or gene expression studies. For this reason, the demand for appropriate bioinformatics tools and pipelines for NGS Data Analysis to conduct precision analysis with a high level of accuracy is very high. The field of transcriptomics requires analysis of the entire RNA transcripts that define the transcriptional state of the cells. The analysis of the entire transcriptome is challenging and is supplemented with the utilization of various bioinformatic tools. This review provides an overview of the - generation sequencing and analysis in various fields like genomics and epigenomics, with a special focus on transcriptome analysis.
{"title":"A Review on Bioinformatics Tools for Transcriptomics NGS Data Analysis","authors":"","doi":"10.33263/lianbs124.130","DOIUrl":"https://doi.org/10.33263/lianbs124.130","url":null,"abstract":"With the advancement in technologies, there has been a great expansion of data generation in various fields and disciples, including genomics, pharmacogenomics, epigenomics, transcriptomics, metabolomics, and proteomics. Regarding sequencing technologies, the advent of next-generation sequencing methods has enabled researchers to analyze the entire genome or multiple genes simultaneously for mutation detection or gene expression studies. For this reason, the demand for appropriate bioinformatics tools and pipelines for NGS Data Analysis to conduct precision analysis with a high level of accuracy is very high. The field of transcriptomics requires analysis of the entire RNA transcripts that define the transcriptional state of the cells. The analysis of the entire transcriptome is challenging and is supplemented with the utilization of various bioinformatic tools. This review provides an overview of the - generation sequencing and analysis in various fields like genomics and epigenomics, with a special focus on transcriptome analysis.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88786417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the biggest healthcare threats of this century is COVID – 19, undoubtedly. It has caused millions of deaths and raised alerts in the healthcare domain. This study focuses on the importance of 10 native Indian plant species and the phytochemicals obtained from them as a potential inhibitor to the Main protease enzyme of SARS CoV -2. About 26 phytochemicals were shortlisted for the same from the selected plants. Molecular docking was used to analyze the binding affinity of the phytochemicals in the active pocket of the Main protease enzyme to assess their effectiveness. The docking scores resulted in the selection of four compounds being more favorable than the native inhibitor N3, namely Quercetin, Withaferin A, Sominone, and Nimbin, with their binding energies being -8.42, -9.21, -9.95, -8.88 kcal/mol respectively. Furthermore, these four were further analyzed for their bioavailability scores. The studies showed that Sominone, Withaferin A are more potent inhibitors to Mpro of the SARS CoV-2 in all four. Thus further in Vitro studies can be done accordingly for the same.
{"title":"Mpro Inhibition: A comparative In silico Therapeutics from Native Indian Plant Species","authors":"Apoorva, P. Yadav, P. Singh, S. Jha","doi":"10.33263/lianbs124.099","DOIUrl":"https://doi.org/10.33263/lianbs124.099","url":null,"abstract":"One of the biggest healthcare threats of this century is COVID – 19, undoubtedly. It has caused millions of deaths and raised alerts in the healthcare domain. This study focuses on the importance of 10 native Indian plant species and the phytochemicals obtained from them as a potential inhibitor to the Main protease enzyme of SARS CoV -2. About 26 phytochemicals were shortlisted for the same from the selected plants. Molecular docking was used to analyze the binding affinity of the phytochemicals in the active pocket of the Main protease enzyme to assess their effectiveness. The docking scores resulted in the selection of four compounds being more favorable than the native inhibitor N3, namely Quercetin, Withaferin A, Sominone, and Nimbin, with their binding energies being -8.42, -9.21, -9.95, -8.88 kcal/mol respectively. Furthermore, these four were further analyzed for their bioavailability scores. The studies showed that Sominone, Withaferin A are more potent inhibitors to Mpro of the SARS CoV-2 in all four. Thus further in Vitro studies can be done accordingly for the same.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"49 Spec No 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89772934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Atom Valency Block (AVB) Indices of an undirected, finite, simple, connected molecular graph/graph G = (V, E) are defined as〖 AVB〗_1 (G) ∑_(u∈V)▒〖[d(u)b(u)] 〗and〖 AVB〗_2 (G)=∑_(u∈V)▒〖[d(u)×b(u)]〗, where the valency (or degree) d(u) of an atom (or vertex) u is the number of atoms adjacent to u, and the block number b(u) of an atom (vertex) u represents the number of blocks of G containing u (the maximal non-separable subgraph of a graph is said to be the block of that graph). In this article, we initiate these new molecular descriptors to compute exact values of separable and non-separable graph and found some inequalities in terms of the order, size, and minimum/maximum valency. Also, we have made comparisons concerning other pre-existing atom valency-based descriptors. In addition, we present the statistical analysis of some chemical trees via scatter plotted correlations between AVB indices and other well-known atom valency-based descriptors.
{"title":"Mathematic Properties and their Chemical Applicabilities of Atom Valency Block Indices","authors":"","doi":"10.33263/lianbs124.103","DOIUrl":"https://doi.org/10.33263/lianbs124.103","url":null,"abstract":"The Atom Valency Block (AVB) Indices of an undirected, finite, simple, connected molecular graph/graph G = (V, E) are defined as〖 AVB〗_1 (G) ∑_(u∈V)▒〖[d(u)b(u)] 〗and〖 AVB〗_2 (G)=∑_(u∈V)▒〖[d(u)×b(u)]〗, where the valency (or degree) d(u) of an atom (or vertex) u is the number of atoms adjacent to u, and the block number b(u) of an atom (vertex) u represents the number of blocks of G containing u (the maximal non-separable subgraph of a graph is said to be the block of that graph). In this article, we initiate these new molecular descriptors to compute exact values of separable and non-separable graph and found some inequalities in terms of the order, size, and minimum/maximum valency. Also, we have made comparisons concerning other pre-existing atom valency-based descriptors. In addition, we present the statistical analysis of some chemical trees via scatter plotted correlations between AVB indices and other well-known atom valency-based descriptors.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87718420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diabetes mellitus (DM) characterized by excess blood sugar, is a multifactorial metabolic disease that has reached epidemic proportions worldwide. The International Diabetes Foundation (IDF) estimates that approximately 537 million adults will be living with DM in 2021. The total number of people living with DM is projected to rise to 783 million by 2045. According to the absolute or relative lack of insulin signaling, DM is classified into two major forms: Type 1 diabetes mellitus (T1DM) and Type 2 diabetes mellitus (T2DM). One of the proteins that play a major role in DM is O-linked β-N-acetylglucosamine Transferase (OGT) a glucose-dependent human enzyme that catalyzes the addition of UDP-GlcNAc on the serine and threonine residues of nuclear and cytoplasmic proteins. While this protein plays a vital role in cell cycle regulation and glucose metabolism, an aberration of it could be lethal, and up until now, there have been no reports of small molecule and potent plant-based inhibitors of OGT. In this study, we put molecular docking, ADME/Tox analysis, and MM/GBSA studies to use in identifying novel potent inhibitors of OGT from compounds of Tinospora cordifolia, and we compare our results with that of an established OGT inhibitor, OSMI-1. Based on docking scores and ligand-protein interactions, we predict four (4) top compounds; Apigenin, Bergenin, Diosmetin, and Syringin. In conclusion, the results from the ADME/Tox analysis have led to the prediction that a T. cordifolia compound (Bergenin) has better drug-like characteristics than the standard compound, OSMI-1.
{"title":"Novel O-linked β-N-acetylglucosamine Transferase (OGT) Inhibitors from Tinospora Cordifolia: An In-Silico Approach","authors":"","doi":"10.33263/lianbs124.097","DOIUrl":"https://doi.org/10.33263/lianbs124.097","url":null,"abstract":"Diabetes mellitus (DM) characterized by excess blood sugar, is a multifactorial metabolic disease that has reached epidemic proportions worldwide. The International Diabetes Foundation (IDF) estimates that approximately 537 million adults will be living with DM in 2021. The total number of people living with DM is projected to rise to 783 million by 2045. According to the absolute or relative lack of insulin signaling, DM is classified into two major forms: Type 1 diabetes mellitus (T1DM) and Type 2 diabetes mellitus (T2DM). One of the proteins that play a major role in DM is O-linked β-N-acetylglucosamine Transferase (OGT) a glucose-dependent human enzyme that catalyzes the addition of UDP-GlcNAc on the serine and threonine residues of nuclear and cytoplasmic proteins. While this protein plays a vital role in cell cycle regulation and glucose metabolism, an aberration of it could be lethal, and up until now, there have been no reports of small molecule and potent plant-based inhibitors of OGT. In this study, we put molecular docking, ADME/Tox analysis, and MM/GBSA studies to use in identifying novel potent inhibitors of OGT from compounds of Tinospora cordifolia, and we compare our results with that of an established OGT inhibitor, OSMI-1. Based on docking scores and ligand-protein interactions, we predict four (4) top compounds; Apigenin, Bergenin, Diosmetin, and Syringin. In conclusion, the results from the ADME/Tox analysis have led to the prediction that a T. cordifolia compound (Bergenin) has better drug-like characteristics than the standard compound, OSMI-1.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85036949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study was carried out to analyze the phytoconstituents of the leaves of the aquatic weed E. crassipes.The plant is being traditionally used as a medicinal plant due to its bioactive constituents, but not many reports are available about E.crassipes as a hepatoprotection. The bioactive substances in the ethyl acetate fraction of the hydroethanolic extract of the leaves of E. crassipes (Mart.) Solms were analyzed by using Fourier Transform Infrared Spectroscopy (FT-IR), Gas Chromatography-Mass Spectrometer (GC-MS), and High-Pressure Liquid Chromatography (HPLC). The IR spectrum of ethyl acetate fraction of the hydroethanolic extract shows 16 peaks corresponding to peaks ranging from wave number 3624.42 cm-1 to 610.40 cm-1. In the GC-MS analysis the existence of 3,5-bis(1,1-dimethylethyl)- (C8H12O3), 7 oxabicyclo [4.1.0] heptan-1-ol, acetate(C14H22O), 7,9-di-tert-butyl-1-oxaspiro (4.5) deca-6,9-diene-2,8-dione, palmitic acid vinyl ester (C18H34O2), phytol (C20H40O) as the major constituent of the extract. The extract was further analyzed by HPLC, indicating the presence of phytol as a major constituent that plays a vital role in hepatoprotection. Thus from the results, it is evident that it contains various bioactive compounds and can recommend as a plant of pharmaceutical importance.
{"title":"FT-IR, GC-MS, and HPLC Profiling of the Bioactive Constituents of Ethyl Acetate Fraction of Eichhornia crassipes as a Hepatoprotectant","authors":"","doi":"10.33263/lianbs124.096","DOIUrl":"https://doi.org/10.33263/lianbs124.096","url":null,"abstract":"The study was carried out to analyze the phytoconstituents of the leaves of the aquatic weed E. crassipes.The plant is being traditionally used as a medicinal plant due to its bioactive constituents, but not many reports are available about E.crassipes as a hepatoprotection. The bioactive substances in the ethyl acetate fraction of the hydroethanolic extract of the leaves of E. crassipes (Mart.) Solms were analyzed by using Fourier Transform Infrared Spectroscopy (FT-IR), Gas Chromatography-Mass Spectrometer (GC-MS), and High-Pressure Liquid Chromatography (HPLC). The IR spectrum of ethyl acetate fraction of the hydroethanolic extract shows 16 peaks corresponding to peaks ranging from wave number 3624.42 cm-1 to 610.40 cm-1. In the GC-MS analysis the existence of 3,5-bis(1,1-dimethylethyl)- (C8H12O3), 7 oxabicyclo [4.1.0] heptan-1-ol, acetate(C14H22O), 7,9-di-tert-butyl-1-oxaspiro (4.5) deca-6,9-diene-2,8-dione, palmitic acid vinyl ester (C18H34O2), phytol (C20H40O) as the major constituent of the extract. The extract was further analyzed by HPLC, indicating the presence of phytol as a major constituent that plays a vital role in hepatoprotection. Thus from the results, it is evident that it contains various bioactive compounds and can recommend as a plant of pharmaceutical importance.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"33 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85747448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Moroccan cypress cone Cupressus Sempervirens from Fez region (Morocco) was studied as an inexpensive biosorbent for the removal of Methylene Blue (MB) and Congo Red (CR) simple and multi-component from aqueous solutions in a fixed-bed system. The surface characteristics of the biosorbent were analyzed by several physicochemical methods. Thе еffеcts of bеd mass (bеd hеight) and initial dyе concеntration on bеd pеrformancе wеrе еvaluatеd and significant bеd pеrformancе was achiеvеd with high bеd mass and low dyе concеntration at thе inlеt. Thе еxpеrimеntal data fit wеll with Thomas and Yoon-Nеlson’s modеl. Based on thе pеrformancе data, it can bе concludеd that the natural Cupressus Sempervirens attested to be beneficial as an inexpensive biosorbent for the removal of textile dyes from aqueous solutions, which is advantageous for the cost-effectiveness of the adsorption treatment.
{"title":"Fixed-Bed System for Adsorption of Methylene Blue and Congo Red Dyes onto Cuprеssus sempervirens: Single- and Multi-Solute Systems","authors":"","doi":"10.33263/lianbs124.106","DOIUrl":"https://doi.org/10.33263/lianbs124.106","url":null,"abstract":"The Moroccan cypress cone Cupressus Sempervirens from Fez region (Morocco) was studied as an inexpensive biosorbent for the removal of Methylene Blue (MB) and Congo Red (CR) simple and multi-component from aqueous solutions in a fixed-bed system. The surface characteristics of the biosorbent were analyzed by several physicochemical methods. Thе еffеcts of bеd mass (bеd hеight) and initial dyе concеntration on bеd pеrformancе wеrе еvaluatеd and significant bеd pеrformancе was achiеvеd with high bеd mass and low dyе concеntration at thе inlеt. Thе еxpеrimеntal data fit wеll with Thomas and Yoon-Nеlson’s modеl. Based on thе pеrformancе data, it can bе concludеd that the natural Cupressus Sempervirens attested to be beneficial as an inexpensive biosorbent for the removal of textile dyes from aqueous solutions, which is advantageous for the cost-effectiveness of the adsorption treatment.","PeriodicalId":18009,"journal":{"name":"Letters in Applied NanoBioScience","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75395371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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