Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00016
I. Kouadri, Bachir BEN SEGHİR, H. Hemmami, S. Zeghoud, N. Allag, A. Rebiai, Ilham Ben Amor, A. Chala, H. Belkhalfa
Disposal and burning of biomass-derived from relevant agricultural waste indiscriminately pollutes the environment and increases greenhouse gas emissions. Researchers have been exploring the “waste to wealth creation” policy due to the renewable nature and availability of agricultural wastes. In this study, agricultural wastes (groundnut shell (K), walnut shell (G), and wood carpentry waste (N)) were investigated for potential use in silica production. Initially, to obtain the ash, the samples were burned. The chemical method was then used to extract fine powder silica in the nanoscopic range using a simple bottom-up approach. To confirm the results, the samples were examined by XRD, SEM with EDX, and FT-IR, which were used to analyze the extracted silica nanoparticles. The isolated silica nanoparticles have a unit size of 9 – 30 nm, according to microstructural examination. EDX verified the presence of SiO2 in the sample. FT-IR analysis also reveals the presence of siloxane group.
{"title":"Extraction of Silica from Different Sources of Agricultural Waste","authors":"I. Kouadri, Bachir BEN SEGHİR, H. Hemmami, S. Zeghoud, N. Allag, A. Rebiai, Ilham Ben Amor, A. Chala, H. Belkhalfa","doi":"10.52711/0974-4150.2023.00016","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00016","url":null,"abstract":"Disposal and burning of biomass-derived from relevant agricultural waste indiscriminately pollutes the environment and increases greenhouse gas emissions. Researchers have been exploring the “waste to wealth creation” policy due to the renewable nature and availability of agricultural wastes. In this study, agricultural wastes (groundnut shell (K), walnut shell (G), and wood carpentry waste (N)) were investigated for potential use in silica production. Initially, to obtain the ash, the samples were burned. The chemical method was then used to extract fine powder silica in the nanoscopic range using a simple bottom-up approach. To confirm the results, the samples were examined by XRD, SEM with EDX, and FT-IR, which were used to analyze the extracted silica nanoparticles. The isolated silica nanoparticles have a unit size of 9 – 30 nm, according to microstructural examination. EDX verified the presence of SiO2 in the sample. FT-IR analysis also reveals the presence of siloxane group.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84471508","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00015
K. Nagasree, Uppalanchi Prashanthi, R. Sri. S
Aim of study was to develop bilayer drug delivery for treatment of attention deficit hyperactivity disorder (ADHD) by delivering loading and maintenance dose for fast achievement of peak plasma concentration and maintaining the same respectively. The prepared drug loaded bilayer tablets were evaluated for pre and post compression parameters. The tablets were prepared by direct compression and wet granulation method. The loading dose was delivered in the form of immediate release layer prepared by different super-disintegrations and maintenance dose was delivered through sustained release layer prepared by using polymers like Ethyl cellulose and Carbopol. Both the immediate release layer and sustained release layers were separately optimized and then combined to optimize the bilayer tablets. No interactions were found between drug and excipients. Formulation containing Cross Carmellose shows immediate drug release. Formulation Containing Carbopol shows sustained release action and bilayer formulations F5 shows releases up to 12 hours. Bilayer tablets with release characteristics offer critical advantages such as, site specificity with improved absorption and efficacy.
{"title":"Preparation and Evaluation of Viloxazine Hydrochloride Bilayer Matrix Tablets","authors":"K. Nagasree, Uppalanchi Prashanthi, R. Sri. S","doi":"10.52711/0974-4150.2023.00015","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00015","url":null,"abstract":"Aim of study was to develop bilayer drug delivery for treatment of attention deficit hyperactivity disorder (ADHD) by delivering loading and maintenance dose for fast achievement of peak plasma concentration and maintaining the same respectively. The prepared drug loaded bilayer tablets were evaluated for pre and post compression parameters. The tablets were prepared by direct compression and wet granulation method. The loading dose was delivered in the form of immediate release layer prepared by different super-disintegrations and maintenance dose was delivered through sustained release layer prepared by using polymers like Ethyl cellulose and Carbopol. Both the immediate release layer and sustained release layers were separately optimized and then combined to optimize the bilayer tablets. No interactions were found between drug and excipients. Formulation containing Cross Carmellose shows immediate drug release. Formulation Containing Carbopol shows sustained release action and bilayer formulations F5 shows releases up to 12 hours. Bilayer tablets with release characteristics offer critical advantages such as, site specificity with improved absorption and efficacy.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86232438","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00013
Avnish Kumar Arora, Lalit Chauhan, Pankaj Kumar
Synthesis of zirconium oxide nanoparticles have been carried out in presence of Sapindus mukorossi (Soapnut) as surfactant and characterization of the synthesized nanoparticles have been carried out using analytical techniques as XRD, Magnetic studies and TEM. Synthesized zirconium Oxide was ZrO2. The structure of the ZrO2 was monoclinic Magnetic susceptibility measurements showed that there were no unpaired electrons in ZrO2. Hence ZrO2 is diamagnetic in nature. Exact size of the zirconium oxide were find out using TEM. Size of the oxide was from 13nm – 26nm.
{"title":"Synthesis and Characterization of Zirconium Oxide Nanoparticles using Sapindus mukorossi (Soapnut) as natural surfactant, A green synthetic approach","authors":"Avnish Kumar Arora, Lalit Chauhan, Pankaj Kumar","doi":"10.52711/0974-4150.2023.00013","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00013","url":null,"abstract":"Synthesis of zirconium oxide nanoparticles have been carried out in presence of Sapindus mukorossi (Soapnut) as surfactant and characterization of the synthesized nanoparticles have been carried out using analytical techniques as XRD, Magnetic studies and TEM. Synthesized zirconium Oxide was ZrO2. The structure of the ZrO2 was monoclinic Magnetic susceptibility measurements showed that there were no unpaired electrons in ZrO2. Hence ZrO2 is diamagnetic in nature. Exact size of the zirconium oxide were find out using TEM. Size of the oxide was from 13nm – 26nm.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84400685","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00001
N. Ziani, Khadidja Amirat, Souhaila Meneceur, Fatiha Mebarki, Abderrhmane Bouafia
EU Directive for the Protection of Laboratory Animals mandates and encourages the use of alternative methods that could substitute, cut down on, and generally improve animal testing. Quantitative structure-activity relationship models (QSAR) as well as in vitro toxicity testing are among the most notable of such. QSARs are defined as computerized mathematical models that can utilize a compound’s (aromatic amine) biological activity—aquatic toxicity—to calculate or provide the experimental descriptors of the chemical structure of this compound. Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) are the approaches we use for the aim of predicting aquatic toxicity. The best models for two descriptors are the electrotopological descriptors derived from E-calc, and the partition coefficient derived by the Hyperchem software, applying a genetic algorithm—variable subset selection procedure. The important values of the statistical parameters obtained by the two approaches were as follows: By MLR: R2= 92.18, Q2 = 90.51, Q2ext= 95.26, F=188.5466, S = 0.1995. By ANN were: Q2 = 94.79, RMSE= 0.16, Q2ext= 91.71, RMSEext=0.18.
{"title":"Silico Methodologies Modelling of Aquatic Toxicity in Tetrahymena Pyriformis Via Aromatic Amines","authors":"N. Ziani, Khadidja Amirat, Souhaila Meneceur, Fatiha Mebarki, Abderrhmane Bouafia","doi":"10.52711/0974-4150.2023.00001","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00001","url":null,"abstract":"EU Directive for the Protection of Laboratory Animals mandates and encourages the use of alternative methods that could substitute, cut down on, and generally improve animal testing. Quantitative structure-activity relationship models (QSAR) as well as in vitro toxicity testing are among the most notable of such. QSARs are defined as computerized mathematical models that can utilize a compound’s (aromatic amine) biological activity—aquatic toxicity—to calculate or provide the experimental descriptors of the chemical structure of this compound. Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN) are the approaches we use for the aim of predicting aquatic toxicity. The best models for two descriptors are the electrotopological descriptors derived from E-calc, and the partition coefficient derived by the Hyperchem software, applying a genetic algorithm—variable subset selection procedure. The important values of the statistical parameters obtained by the two approaches were as follows: By MLR: R2= 92.18, Q2 = 90.51, Q2ext= 95.26, F=188.5466, S = 0.1995. By ANN were: Q2 = 94.79, RMSE= 0.16, Q2ext= 91.71, RMSEext=0.18.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83865467","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00005
R. V. Rele, Prathamesh P. Tiwatane
Simple sensitive and accurate ion pair complex formation with reactive dyes, extractive spectrophotometric methods have developed for the estimation of favipiravir in pharmaceutical dosage form. The methods are based on the formation of ion paired coloured complexes by the drug with reactive dyes like Congo red, eriochrome black T and methyl orange in acidic medium. The ion associated complexes were formed and quantitatively extracted under the experimental condition in chloroform. The absorbance values were measured at 490 nm, 500 nm, and 430 nm respectively. The proposed methods were validated statistically. Recoveries of methods were carried out by standard addition method. The linearity was found to be 5.0-30.0 μg/ml, 5 -12 μg/ml, and 2-20 μg/ml for methods respectively. The low values of standard deviation and percentage RSD indicate high precision of methods. Hence these methods are useful for routine estimation of favipiravir in pharmaceutical dosages.
{"title":"Application of reactive dyes in Validation of favipiravir from pharmaceutical dosages","authors":"R. V. Rele, Prathamesh P. Tiwatane","doi":"10.52711/0974-4150.2023.00005","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00005","url":null,"abstract":"Simple sensitive and accurate ion pair complex formation with reactive dyes, extractive spectrophotometric methods have developed for the estimation of favipiravir in pharmaceutical dosage form. The methods are based on the formation of ion paired coloured complexes by the drug with reactive dyes like Congo red, eriochrome black T and methyl orange in acidic medium. The ion associated complexes were formed and quantitatively extracted under the experimental condition in chloroform. The absorbance values were measured at 490 nm, 500 nm, and 430 nm respectively. The proposed methods were validated statistically. Recoveries of methods were carried out by standard addition method. The linearity was found to be 5.0-30.0 μg/ml, 5 -12 μg/ml, and 2-20 μg/ml for methods respectively. The low values of standard deviation and percentage RSD indicate high precision of methods. Hence these methods are useful for routine estimation of favipiravir in pharmaceutical dosages.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91464156","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00014
Shaikh Habeeba
Artificial intelligence is an area of computer science that deals with the ability to solve problems using symbolic programming. Artificial intelligence can help solve health-care issues with large-scale applications. Expert system development is a significant and effective application of artificial intelligence. Artificial intelligence (AI) is a technology-based system that uses a variety of advanced tools and networks to simulate human intelligence. AI makes use of systems and software that can read and learn from data and to make independent judgments in order to achieve certain goals. Its applications in the pharmaceutical area are constantly being expanded, as discussed in this chapter. Recently, healthcare sector is facing some complex challenges, such as the increased cost of drugs and therapies, and society needs specific significant changes in this area. Personalized medications with the necessary dose, release parameters, and other required aspects can be manufactured according to individual patient need with the use of AI in pharmaceutical product manufacturing. Using the latest AI-based technologies will not only reduce the time it takes for products to reach the market, but it will also improve product quality and overall safety of the manufacturing process, as well as provide better resource utilization and cost-effectiveness, emphasize the importance of automation. This chapter emphasizes the importance of artificial intelligence (AI) in the pharmaceutical sector, including drug research and development, medication repurposing, enhancing pharmaceutical productivity, and clinical trials And its current and future applications in drug discovery development.
{"title":"Use of Artificial Intelligence in Drug Discovery and its Application in Drug Development","authors":"Shaikh Habeeba","doi":"10.52711/0974-4150.2023.00014","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00014","url":null,"abstract":"Artificial intelligence is an area of computer science that deals with the ability to solve problems using symbolic programming. Artificial intelligence can help solve health-care issues with large-scale applications. Expert system development is a significant and effective application of artificial intelligence. Artificial intelligence (AI) is a technology-based system that uses a variety of advanced tools and networks to simulate human intelligence. AI makes use of systems and software that can read and learn from data and to make independent judgments in order to achieve certain goals. Its applications in the pharmaceutical area are constantly being expanded, as discussed in this chapter. Recently, healthcare sector is facing some complex challenges, such as the increased cost of drugs and therapies, and society needs specific significant changes in this area. Personalized medications with the necessary dose, release parameters, and other required aspects can be manufactured according to individual patient need with the use of AI in pharmaceutical product manufacturing. Using the latest AI-based technologies will not only reduce the time it takes for products to reach the market, but it will also improve product quality and overall safety of the manufacturing process, as well as provide better resource utilization and cost-effectiveness, emphasize the importance of automation. This chapter emphasizes the importance of artificial intelligence (AI) in the pharmaceutical sector, including drug research and development, medication repurposing, enhancing pharmaceutical productivity, and clinical trials And its current and future applications in drug discovery development.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87235162","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00008
Arjun Singh
Plant-based products are a one-of-a-kind source of favoured molecules with a wide scaffold variety and broad multi-target potential for the treatment of complicated disorders. Among multi-target NPs, alkaloids have showed anti-inflammatory, anticancer, cardioprotective, and neuroprotective effects, supporting their promise in the treatment of chronic multifactorial disorders. Several recent investigations have revealed that isoquinoline alkaloids (IAs) have multimodal potential, sparking growing interest in the polypharmacological research of these small molecules, particularly in the field of neurological illnesses and cancer. IAs are a broad and diversified category of nitrogenous compounds that are extensively dispersed in living organisms, mostly in plants family. Isoquinolines are known as highly conserved metabolites in early vascular plants at the chemotaxonomic level; moreover, biochemical and molecular phylogenetic investigations have revealed that these alkaloids play an evolutionarily monophyletic role in basal angiosperms.As a result, medicinal chemistry has been experimenting with various ways in order to overcome the constraints of existing paradigms and increase the effectiveness of novel therapeutic molecules. In this context, the search or design of multi-target medications has shown an accelerated breakthrough; in fact, this strategy has sparked the interest of both the scientific community and the pharmaceutical business, allowing several multimodal agents already on the market to be positioned.
{"title":"Plant-based Isoquinoline Alkaloids: A Chemical and Pharmacological Profile of Some Important Leads","authors":"Arjun Singh","doi":"10.52711/0974-4150.2023.00008","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00008","url":null,"abstract":"Plant-based products are a one-of-a-kind source of favoured molecules with a wide scaffold variety and broad multi-target potential for the treatment of complicated disorders. Among multi-target NPs, alkaloids have showed anti-inflammatory, anticancer, cardioprotective, and neuroprotective effects, supporting their promise in the treatment of chronic multifactorial disorders. Several recent investigations have revealed that isoquinoline alkaloids (IAs) have multimodal potential, sparking growing interest in the polypharmacological research of these small molecules, particularly in the field of neurological illnesses and cancer. IAs are a broad and diversified category of nitrogenous compounds that are extensively dispersed in living organisms, mostly in plants family. Isoquinolines are known as highly conserved metabolites in early vascular plants at the chemotaxonomic level; moreover, biochemical and molecular phylogenetic investigations have revealed that these alkaloids play an evolutionarily monophyletic role in basal angiosperms.As a result, medicinal chemistry has been experimenting with various ways in order to overcome the constraints of existing paradigms and increase the effectiveness of novel therapeutic molecules. In this context, the search or design of multi-target medications has shown an accelerated breakthrough; in fact, this strategy has sparked the interest of both the scientific community and the pharmaceutical business, allowing several multimodal agents already on the market to be positioned.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80607596","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00010
Shreyash D. Kadam, D. Mammen, Deepak S. Kadam, Sudhakar G. Patil
Thiazolidin-4-one derivatives have been hailed as “wonder nucleus” due to their profound biological activities. A number of derivatives with variable functional groups attached to the five-membered heterocyclic ring which have been synthesized and further subjected to molecular docking studies, against C-KIT Tyrosine kinase target protein (1T46). The interactions, binding and affinity variations due to differences in functional groups have been studied using ChemDraw Ultra 7.0, RCSB – Protein Data Bank, BIOVIA Discovery Studio Visualizer 2021, MGL AutoDock Tools, AutoDock Vina and Vina Split software. The docking studies showed good interaction of the synthesized molecules with the 1T46 target protein. The ADME studies of these molecules have also been studied to identify which of the synthesized molecules have the potential to cross the Human Intestinal lining (HIA), as well as the BBB barrier. Out of the 18 molecules studied, 12 of them showed good potential to be absorbed by the intestine out of which only one molecule was able to show potential to cross the BBB barrier. There were 4 molecules that could not cross both the barrier. These studies could reveal which functionalities present attached to the thiazolidin-4-one could assist in human intestinal absorption and the crossing of the BBB barrier.
噻唑烷-4- 1衍生物因其具有丰富的生物活性而被誉为“神奇核”。针对C-KIT酪氨酸激酶靶蛋白(1T46)，已经合成了许多具有可变官能团的五元杂环衍生物，并进行了进一步的分子对接研究。使用ChemDraw Ultra 7.0、RCSB - Protein Data Bank、BIOVIA Discovery Studio Visualizer 2021、MGL AutoDock Tools、AutoDock Vina和Vina Split软件研究了功能基团差异导致的相互作用、结合和亲和变化。对接研究表明，合成的分子与1T46靶蛋白具有良好的相互作用。对这些分子的ADME研究也进行了研究，以确定哪些合成分子有可能穿过人类肠道内膜(HIA)和血脑屏障。在研究的18个分子中，有12个分子显示出被肠道吸收的良好潜力，其中只有一个分子能够显示出穿过血脑屏障的潜力。有4个分子不能同时穿过两个势垒。这些研究可以揭示附着在噻唑烷-4- 1上的哪些功能可以帮助人体肠道吸收和穿过血脑屏障。
{"title":"In silico molecular docking against C-KIT Tyrosine Kinase and ADME studies of 3-Ethyl-2-(2,3,4-trifluoro-phenylimino)-thiazolidin-4-one derivatives","authors":"Shreyash D. Kadam, D. Mammen, Deepak S. Kadam, Sudhakar G. Patil","doi":"10.52711/0974-4150.2023.00010","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00010","url":null,"abstract":"Thiazolidin-4-one derivatives have been hailed as “wonder nucleus” due to their profound biological activities. A number of derivatives with variable functional groups attached to the five-membered heterocyclic ring which have been synthesized and further subjected to molecular docking studies, against C-KIT Tyrosine kinase target protein (1T46). The interactions, binding and affinity variations due to differences in functional groups have been studied using ChemDraw Ultra 7.0, RCSB – Protein Data Bank, BIOVIA Discovery Studio Visualizer 2021, MGL AutoDock Tools, AutoDock Vina and Vina Split software. The docking studies showed good interaction of the synthesized molecules with the 1T46 target protein. The ADME studies of these molecules have also been studied to identify which of the synthesized molecules have the potential to cross the Human Intestinal lining (HIA), as well as the BBB barrier. Out of the 18 molecules studied, 12 of them showed good potential to be absorbed by the intestine out of which only one molecule was able to show potential to cross the BBB barrier. There were 4 molecules that could not cross both the barrier. These studies could reveal which functionalities present attached to the thiazolidin-4-one could assist in human intestinal absorption and the crossing of the BBB barrier.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77616352","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 objective of this work is to highlight the purification performance of the Mentha longifolia plant for wastewater under a horizontal flow regime and a hot and dry (arid) climate. In this research, we made a comparison between a planted bed of Mentha longifolia and a non-planted bed (control) as well as the study of the performance of the Mentha longifolia to purify the wastewater. The study is carried out according to an experimental pilot in the urban wastewater treatment zone within the National Sanitation Office (NSO) in Tamanghasset. The experimental pilot consists of pots of capacity 130 liters filled from bottom to top on a thickness of 45 cm of gravel (15 / 25mm) of 10 cm of sand. The pot is planted with young stems of Mentha longifolia (36 stems / m2) and the other non-planted pot is taken as a control. The pots are fed by urban wastewater (18 liters / day), once a week. The water obtained after 5 days is collected in a container located under the pot. The performance information shown is for the periods from the month of January - April 2021.After four months of follow –up, we obtained the pollutant removal results with the following percentages: COD (77.74%), BOD5 (72.47%), MES (87.78%), NO3-(63.40%), NO2- (62.03%), PO43- (62.77%), E. coli (99.43%). The existence of the plant Mentha longifolia in planted beds maintains a sufficient porosity that prevents clogging. The significant reduction of pollutants and pathogenic microorganisms allows us to consider the reuse of treated water in agriculture and industry.
{"title":"Performance Evaluation of Mentha longifolia Plant for Domestic Waste water Treatment under arid climate conditions (Tamanrasset region, Algeria)","authors":"Abdelaziz Bouhoreira, Benzahi Khedidja, B. Labed, Zorai Ameur, Serraoui Mabrouk, Sabrina Batoul Benachoura, Benzahi Rabia","doi":"10.52711/0974-4150.2023.00006","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00006","url":null,"abstract":"The objective of this work is to highlight the purification performance of the Mentha longifolia plant for wastewater under a horizontal flow regime and a hot and dry (arid) climate. In this research, we made a comparison between a planted bed of Mentha longifolia and a non-planted bed (control) as well as the study of the performance of the Mentha longifolia to purify the wastewater. The study is carried out according to an experimental pilot in the urban wastewater treatment zone within the National Sanitation Office (NSO) in Tamanghasset. The experimental pilot consists of pots of capacity 130 liters filled from bottom to top on a thickness of 45 cm of gravel (15 / 25mm) of 10 cm of sand. The pot is planted with young stems of Mentha longifolia (36 stems / m2) and the other non-planted pot is taken as a control. The pots are fed by urban wastewater (18 liters / day), once a week. The water obtained after 5 days is collected in a container located under the pot. The performance information shown is for the periods from the month of January - April 2021.After four months of follow –up, we obtained the pollutant removal results with the following percentages: COD (77.74%), BOD5 (72.47%), MES (87.78%), NO3-(63.40%), NO2- (62.03%), PO43- (62.77%), E. coli (99.43%). The existence of the plant Mentha longifolia in planted beds maintains a sufficient porosity that prevents clogging. The significant reduction of pollutants and pathogenic microorganisms allows us to consider the reuse of treated water in agriculture and industry.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89015211","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}
Pub Date : 2023-02-24DOI: 10.52711/0974-4150.2023.00009
P. A. Reddy, Vommidarapu Srujana, R. Sri. S
A new, simple, precise, rapid, selective and stability reversed-phase high performance liquid chromatographic (RP-HPLC) method has been developed and validated for the simultaneous quantification of Perphenazine and Amitriptyline in pure form and its pharmaceutical dosage form. The method is based on Phenomenex Gemini C18 (4.6×250mm) 5µ column. The separation is achieved using isocratic elution by Methanol: TEA Buffer in the ratio of 65:35% v/v, pumped at flow rate 1.0mL/min and UV detection at 230nm. The column is maintained at 40°C throughout the analysis. The total run time is about 6min. The method is validated for specificity, accuracy, precision and linearity, robustness and ruggedness, system suitability, limit of detection and limit of quantitation as per International conference of harmonization (ICH) Guidelines. The method is accurate and linear for quantification of Perphenazine, Amitriptyline between 10 - 50µg/mL and 20 - 100µg/mL respectively. Further, satisfactory results are also established in terms of mean percent- age recovery (100.37% for Perphenazine and 100.34% for Amitriptyline, intra-day and inter-day precision (<2%) and robustness. The advantages of this method are good resolution with sharper peaks and sufficient precision. The results indicate that the method is suitable for the routine quality control testing of marketed tablet formulations.
{"title":"Validated RP-HPLC Method for Simultaneous Estimation of Perphenazine and Amitriptyline in Bulk and Tablet Dosage form","authors":"P. A. Reddy, Vommidarapu Srujana, R. Sri. S","doi":"10.52711/0974-4150.2023.00009","DOIUrl":"https://doi.org/10.52711/0974-4150.2023.00009","url":null,"abstract":"A new, simple, precise, rapid, selective and stability reversed-phase high performance liquid chromatographic (RP-HPLC) method has been developed and validated for the simultaneous quantification of Perphenazine and Amitriptyline in pure form and its pharmaceutical dosage form. The method is based on Phenomenex Gemini C18 (4.6×250mm) 5µ column. The separation is achieved using isocratic elution by Methanol: TEA Buffer in the ratio of 65:35% v/v, pumped at flow rate 1.0mL/min and UV detection at 230nm. The column is maintained at 40°C throughout the analysis. The total run time is about 6min. The method is validated for specificity, accuracy, precision and linearity, robustness and ruggedness, system suitability, limit of detection and limit of quantitation as per International conference of harmonization (ICH) Guidelines. The method is accurate and linear for quantification of Perphenazine, Amitriptyline between 10 - 50µg/mL and 20 - 100µg/mL respectively. Further, satisfactory results are also established in terms of mean percent- age recovery (100.37% for Perphenazine and 100.34% for Amitriptyline, intra-day and inter-day precision (<2%) and robustness. The advantages of this method are good resolution with sharper peaks and sufficient precision. The results indicate that the method is suitable for the routine quality control testing of marketed tablet formulations.","PeriodicalId":8550,"journal":{"name":"Asian Journal of Research in Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75034278","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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