Pub Date : 2023-12-31DOI: 10.31357/vjs.v26i02.6804
M. Waghmode, Neha Patil
One of the pharmaceutical micropollutants with a detrimental effect on the environment is paracetamol. Mycoremediation of the pollutants is a widely accepted concept based on cost and eco-friendly nature. Fungi isolated from pharmaceutical industry effluent have been used to target the biodegradation of paracetamol. The fungus’s internal transcribed spacer (ITS 1) sequencing matched that of Cladosporium alboflavescens (GenBank accession number OQ977005) by 99.81%. The strain demonstrated 89% biodegradation of paracetamol (1000 ppm) after 96 hours of incubation with 4-aminophenol as the predominant biodegradative metabolite, according to the spectrophotometric and high-performance liquid chromatographic analysis. The half-life of 1.44 days and simple first order kinetics were proposed by the Computer Assisted Kinetic Evaluation (CAKE) tool used to examinethe biodegradation kinetics. Key words: Acetaminophen, 4-aminophenol, Cladosporium, Mycoremediation
{"title":"Isolation, and characterization of Cladosporium alboflavescens for Acetaminophen biodegradation","authors":"M. Waghmode, Neha Patil","doi":"10.31357/vjs.v26i02.6804","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6804","url":null,"abstract":"One of the pharmaceutical micropollutants with a detrimental effect on the environment is paracetamol. Mycoremediation of the pollutants is a widely accepted concept based on cost and eco-friendly nature. Fungi isolated from pharmaceutical industry effluent have been used to target the biodegradation of paracetamol. The fungus’s internal transcribed spacer (ITS 1) sequencing matched that of Cladosporium alboflavescens (GenBank accession number OQ977005) by 99.81%. The strain demonstrated 89% biodegradation of paracetamol (1000 ppm) after 96 hours of incubation with 4-aminophenol as the predominant biodegradative metabolite, according to the spectrophotometric and high-performance liquid chromatographic analysis. The half-life of 1.44 days and simple first order kinetics were proposed by the Computer Assisted Kinetic Evaluation (CAKE) tool used to examinethe biodegradation kinetics. Key words: Acetaminophen, 4-aminophenol, Cladosporium, Mycoremediation","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"122 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139132780","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6808
Gowri Rajkumar, Vinotha Sanmugarajah, Mihiri R. Jayasinghe
Syzygium cumini (L.) Skeels (Myrtaceae) is an evergreen tree, grown widely in Sri Lanka. It is regularly recognized as jambolan, black plum, and jamun. It is an extensively used therapeutic herbal in the treatment of innumerable illnesses, particularly in Diabetes mellitus in traditional medicine. The goal of the research was to compare the phytochemical and physicochemical properties between the different parts of jambolana tree which is naturally found in Sri Lanka. Proximate estimation of physicochemical properties of dried matured different parts as bark, leaves, fruits, and seeds of the Syzygium cumini havebeen done in the current study rendering to the standard protocols recommended by the World Health Organization (WHO) and Association of Analytical Chemist (AOAC). This study includes electrical conductivity value, moisture content, fat content, and different ash contents analysis. It was found that the leaves had the highest electrical conductivity (16.67±1.53) and the bark had the lowest electrical conductivity (2.44±0.03). The moisture content of the bark was lower (11.30±0.44) in comparison tothat of the seeds (16.34±0.43). Furthermore, the bark had the highest fat content (1.02±0.03) and acid insoluble ash (2.65±0.89), when compared to the seeds (0.65±0.01) and leaves (1.00±0.88) respectively. The seeds had the highest pH (5.39±0.08); total ash (2.18±0.06) and water-soluble ash (5.25±0.55), while the fruits had the highest sulphated ash (1.99±0.55). Qualitative inspection revealed that hot ethanolic seed extracts contained high levels of flavonoids, tannins, phenols, glycosides, alkaloids, terpenoids and quinones, in addition to other parts, which also had high levels of alkaloid content (81.06 mg/g). The current study will contribute useful data in the precise documentation and validation of various parts of S. cumini and may aid in removing contaminants in the preparation of nutraceuticals or medicine. Keywords: Medicinal Plant, Parts, Parameters, Physicochemical, Phytochemical, Syzygium cumini
{"title":"Comparative Phyto and Physicochemical Parameters of the Therapeutic Plant Syzygium cumini (L.) Skeels in Jaffna District","authors":"Gowri Rajkumar, Vinotha Sanmugarajah, Mihiri R. Jayasinghe","doi":"10.31357/vjs.v26i02.6808","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6808","url":null,"abstract":"Syzygium cumini (L.) Skeels (Myrtaceae) is an evergreen tree, grown widely in Sri Lanka. It is regularly recognized as jambolan, black plum, and jamun. It is an extensively used therapeutic herbal in the treatment of innumerable illnesses, particularly in Diabetes mellitus in traditional medicine. The goal of the research was to compare the phytochemical and physicochemical properties between the different parts of jambolana tree which is naturally found in Sri Lanka. Proximate estimation of physicochemical properties of dried matured different parts as bark, leaves, fruits, and seeds of the Syzygium cumini havebeen done in the current study rendering to the standard protocols recommended by the World Health Organization (WHO) and Association of Analytical Chemist (AOAC). This study includes electrical conductivity value, moisture content, fat content, and different ash contents analysis. It was found that the leaves had the highest electrical conductivity (16.67±1.53) and the bark had the lowest electrical conductivity (2.44±0.03). The moisture content of the bark was lower (11.30±0.44) in comparison tothat of the seeds (16.34±0.43). Furthermore, the bark had the highest fat content (1.02±0.03) and acid insoluble ash (2.65±0.89), when compared to the seeds (0.65±0.01) and leaves (1.00±0.88) respectively. The seeds had the highest pH (5.39±0.08); total ash (2.18±0.06) and water-soluble ash (5.25±0.55), while the fruits had the highest sulphated ash (1.99±0.55). Qualitative inspection revealed that hot ethanolic seed extracts contained high levels of flavonoids, tannins, phenols, glycosides, alkaloids, terpenoids and quinones, in addition to other parts, which also had high levels of alkaloid content (81.06 mg/g). The current study will contribute useful data in the precise documentation and validation of various parts of S. cumini and may aid in removing contaminants in the preparation of nutraceuticals or medicine. Keywords: Medicinal Plant, Parts, Parameters, Physicochemical, Phytochemical, Syzygium cumini","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"125 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134754","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6805
M. Thishani, Shanika Pathirathne, Wijelath Arachchige Gihan, Erandika Wijelath, W. A. D. Nayananjalie, Renuka Jayatissa, A. Buddhika, Gayani Silva
In early life, protein deficiency as well as heavy protein intake cause adverse conditions. Therefore, the present study aimed to assess the protein adequacy of diets in 1-2-year-old toddlers in the Alawwa Medical Officer of Health (MOH) area, Kurunegala, Sri Lanka. Data on food consumption was obtained by 24-hour dietary recall method from selected caregivers (n=60) andcommonly consumed foods (n=30) were cooked using household preparation protocols practiced in the area. They were homogenized and analyzed for protein. The majority of toddlers among the selected population consumed rice-based meals (73%) as the main meal (cooked rice with vegetable accompaniments), while 27% preferred mixed diets (a mixture of vegetables, pulses, leafy vegetables and fish along with rice). A serving of commercial cereal products provided the highest estimateddaily intake (EDI) of protein (10.70 ± 0.40 g). The average EDI of protein of all categories of foods per portion (rice, vegetables, pulses, green leaves, fish, eggs, rice mixtures and cereal products) was 31.55 ± 0.88 g, contributing to the recommended dietary allowance (RDA) of 242.64% and 150.17% for 1-2 year toddlers as defined by the Department of Agriculture, United States (USDA) and Sri Lankan RDA defined by Medical Research Institute (MRI), respectively. In conclusion, the cooked foods prepared according to local recipes fulfilled the dietary requirements of protein for toddlers aged 1-2 years in the Alawwa MOH area following USDA and Sri Lankan nutrition guidelines. Keywords: Estimated Daily Intake, Protein, Recommended Dietary Allowance, Toddlers
{"title":"Determination of protein content in cooked foods consumed by toddlers aged 1-2 years in Sri Lanka","authors":"M. Thishani, Shanika Pathirathne, Wijelath Arachchige Gihan, Erandika Wijelath, W. A. D. Nayananjalie, Renuka Jayatissa, A. Buddhika, Gayani Silva","doi":"10.31357/vjs.v26i02.6805","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6805","url":null,"abstract":"In early life, protein deficiency as well as heavy protein intake cause adverse conditions. Therefore, the present study aimed to assess the protein adequacy of diets in 1-2-year-old toddlers in the Alawwa Medical Officer of Health (MOH) area, Kurunegala, Sri Lanka. Data on food consumption was obtained by 24-hour dietary recall method from selected caregivers (n=60) andcommonly consumed foods (n=30) were cooked using household preparation protocols practiced in the area. They were homogenized and analyzed for protein. The majority of toddlers among the selected population consumed rice-based meals (73%) as the main meal (cooked rice with vegetable accompaniments), while 27% preferred mixed diets (a mixture of vegetables, pulses, leafy vegetables and fish along with rice). A serving of commercial cereal products provided the highest estimateddaily intake (EDI) of protein (10.70 ± 0.40 g). The average EDI of protein of all categories of foods per portion (rice, vegetables, pulses, green leaves, fish, eggs, rice mixtures and cereal products) was 31.55 ± 0.88 g, contributing to the recommended dietary allowance (RDA) of 242.64% and 150.17% for 1-2 year toddlers as defined by the Department of Agriculture, United States (USDA) and Sri Lankan RDA defined by Medical Research Institute (MRI), respectively. In conclusion, the cooked foods prepared according to local recipes fulfilled the dietary requirements of protein for toddlers aged 1-2 years in the Alawwa MOH area following USDA and Sri Lankan nutrition guidelines. Keywords: Estimated Daily Intake, Protein, Recommended Dietary Allowance, Toddlers","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"86 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130523","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6801
PhD Frsc K.M. Nalin de Silva
The planet has witnessed an extraordinary economic rebound after the pandemic during the last couple of years. However, the cost of energy started to increase dramatically, and the global energy markets affected due to the war between Ukraine and Russia. The markets were further shaken due to the present crisis in the Middle East after the escalation of hostilities between Israel and Palestine. The prices of various energy forms such as natural gas have reached record highs and countries like SriLanka were severely affected. The situation was aggravated in Sri Lanka due to economic mismanagement, corruption and inefficient administration resulting in an irreversible economic meltdown. The depletion of foreign reserves coupled with devaluation of the currency inhibited the buying power of material in the international market. Out of many commodities, energy was the critical factor due to its multimodal influence for sustainable growth of the country. The enormous cost of energy has contributed to high inflation resulting in increasing poverty levels of a majority of families in Sri Lanka. The damage incurred to industry was unimaginable as most of the small and medium size enterprises were forced to shut down while other companies had to curtail the output, resulting in reduced GDP. The country has therefore experienced the highest fuel and electricity prices during the last year mainly due to the dependence of a fossil fuel-based economy. The country witnessed long power cuts and power shortages during the last couple of years due to the dependence of oil or coal imports for power generation. The whole world is moving towards clean energy technologies due to the oil crisis in the world. In this context, renewable energy sources such as solar power, wind power, hydropower and tidal power play a major role in contributing towards sustainable power generation. In addition, the energy from renewable sources prevents air pollution. As a country are we exploring the true potential of these avenues or are we seriously considering exploration of new energy sources? It is predicted to experience a shortage of fossil fuels in the next few decades due to the depletion of finite petroleum reserves. Therefore, scientists have taken a tremendous step in diverting their attention to alternative sustainable fuel technologies. In this context hydrogen plays a major role in replacing fossil fuel sources in a range of applications. A hydrogen economy does not mean the total replacement of other energy sources. This term has a broader meaning, and the emphasis is given to the role that hydrogen can play alongside other environmentally harmful technologies to slowly phase out the dependency on fossil fuels. This will allow countries like Sri Lanka to detach from the total dependency of fossil fuels in the automobile industry. A hydrogen-based economy, however, requires the use of advanced technologies for economical and environmentally clean production, storage, and
在过去的几年里,地球见证了大流行病后非同寻常的经济反弹。然而,由于乌克兰和俄罗斯之间的战争,能源成本开始急剧上升,全球能源市场受到影响。以色列和巴勒斯坦敌对行动升级后,中东危机进一步动摇了市场。天然气等各种能源形式的价格创下历史新高,斯里兰卡等国受到严重影响。由于经济管理不善、腐败和行政效率低下,斯里兰卡的局势进一步恶化,造成了不可逆转的经济崩溃。外汇储备枯竭加上货币贬值,抑制了国际市场上的物质购买力。在众多商品中,能源因其对国家可持续增长的多模式影响而成为关键因素。巨大的能源成本导致了高通胀,从而加剧了斯里兰卡大多数家庭的贫困程度。大多数中小型企业被迫停产,其他公司不得不削减产量,导致国内生产总值下降,给工业造成的损失难以想象。因此,主要由于依赖化石燃料经济,去年斯里兰卡经历了最高的燃料和电力价格。由于依赖进口石油或煤炭发电,在过去几年里,该国经历了长时间的停电和电力短缺。由于世界石油危机,全世界都在转向清洁能源技术。在这种情况下,太阳能、风能、水能和潮汐能等可再生能源在促进可持续发电方面发挥了重要作用。此外,可再生能源还能防止空气污染。作为一个国家,我们是否正在发掘这些途径的真正潜力,或者我们是否正在认真考虑探索新能源?据预测,由于石油储量有限,未来几十年化石燃料将出现短缺。因此,科学家们已经迈出了巨大的一步,将注意力转移到可持续的替代燃料技术上。在此背景下,氢在一系列应用中替代化石燃料来源方面发挥着重要作用。 氢经济并不意味着完全取代其他能源。这个词的含义更广,它强调的是氢气可以与其他对环境有害的技术一起发挥作用,慢慢地逐步摆脱对化石燃料的依赖。这将使斯里兰卡等国的汽车工业摆脱对化石燃料的完全依赖。然而,以氢为基础的经济需要使用先进技术,以经济、环保的方式生产、储存和安全运输氢燃料。从化石燃料向氢燃料的转变在污染和能源安全方面具有重大优势。向氢经济的转变不会一蹴而就,这主要是由于在开发生产和储存氢的新材料和方法方面存在技术障碍。氢作为一种能源载体之所以具有吸引力,主要是因为其能量含量约为液态碳氢化合物的三倍。氢气可以在燃料电池中与氧气燃烧,释放能量并产生水,同时不会造成空气污染。这对于减少碳足迹和在拥挤不堪的大都市地区提供无污染的运输系统来说,是一个很有吸引力的特点。此外,氢可以从包括水在内的各种来源产生,从而减少对化石燃料的依赖。 据预测,氢气将在发电领域发挥重要作用,尤其是在汽车行业。使用氢作为燃料的优势非常显著,然而,燃料电池驱动汽车的生产却充满挑战。许多大型汽车公司已经开发出氢动力汽车,目前正在许多国家使用。日本和韩国在这方面走在了前列。丰田 Mirai 和现代 Nexo 就是在全球燃料电池汽车市场上占据主导地位的两个例子。最近,丰田推出了 GR Yaris H2,这是一款先进的氢动力汽车。与燃料电池技术不同的是,这项新技术的主要区别在于,这种汽车在传统的内燃机中使用氢作为可燃燃料。然而,由于技术障碍,氢动力汽车与电动汽车相比较为罕见。其中一个原因是,由于缺乏基础设施,普通汽车驾驶员无法方便、安全地获取氢气。此外,车内氢气储存也存在问题。
{"title":"Hydrogen Economy: Are we ready?","authors":"PhD Frsc K.M. Nalin de Silva","doi":"10.31357/vjs.v26i02.6801","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6801","url":null,"abstract":"The planet has witnessed an extraordinary economic rebound after the pandemic during the last couple of years. However, the cost of energy started to increase dramatically, and the global energy markets affected due to the war between Ukraine and Russia. The markets were further shaken due to the present crisis in the Middle East after the escalation of hostilities between Israel and Palestine. The prices of various energy forms such as natural gas have reached record highs and countries like SriLanka were severely affected. The situation was aggravated in Sri Lanka due to economic mismanagement, corruption and inefficient administration resulting in an irreversible economic meltdown. The depletion of foreign reserves coupled with devaluation of the currency inhibited the buying power of material in the international market. Out of many commodities, energy was the critical factor due to its multimodal influence for sustainable growth of the country. The enormous cost of energy has contributed to high inflation resulting in increasing poverty levels of a majority of families in Sri Lanka. The damage incurred to industry was unimaginable as most of the small and medium size enterprises were forced to shut down while other companies had to curtail the output, resulting in reduced GDP. The country has therefore experienced the highest fuel and electricity prices during the last year mainly due to the dependence of a fossil fuel-based economy. The country witnessed long power cuts and power shortages during the last couple of years due to the dependence of oil or coal imports for power generation. The whole world is moving towards clean energy technologies due to the oil crisis in the world. In this context, renewable energy sources such as solar power, wind power, hydropower and tidal power play a major role in contributing towards sustainable power generation. In addition, the energy from renewable sources prevents air pollution. As a country are we exploring the true potential of these avenues or are we seriously considering exploration of new energy sources? It is predicted to experience a shortage of fossil fuels in the next few decades due to the depletion of finite petroleum reserves. Therefore, scientists have taken a tremendous step in diverting their attention to alternative sustainable fuel technologies. In this context hydrogen plays a major role in replacing fossil fuel sources in a range of applications. A hydrogen economy does not mean the total replacement of other energy sources. This term has a broader meaning, and the emphasis is given to the role that hydrogen can play alongside other environmentally harmful technologies to slowly phase out the dependency on fossil fuels. This will allow countries like Sri Lanka to detach from the total dependency of fossil fuels in the automobile industry. A hydrogen-based economy, however, requires the use of advanced technologies for economical and environmentally clean production, storage, and","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":" 998","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139136344","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6807
N. K. Kularathne, M. M. P. M. Fernando, J. M. U. T. D. Jayasinghe
In general, audio signals are contaminated with various types of noise. This paper presents a novel signal processing method developed for high-frequency noise elimination using wavelet transforms. As a continuation of a previous study that used Fourier transform for noise removal in audio files, in this study Daubechies wavelets were used to reduce computational complexity and achieve better noise reduction performances. Compared to the Fourier transform, the Daubechies wavelet transform method removes the noise in each signal while preserving its vital characteristics. The suitable level of the Daubechies wavelet for noise removal in each channel was obtained using a trial-and-error approach. It was identified that the ideal range for the level of the Daubechies wavelets for noise removal is between 17 and 20. Moreover, unlike the Fourier transform, the Daubechies wavelet transform demonstrates a proficient capacity in eliminating noise from data point that lies completely outside the rest in the audio data set. Wolfram Mathematica 12.3 software package was used to complete this research. This method can be applied toconserve vintage audio recordings originally recorded in cassettes and spools. Keywords: Digital Signal Processing, Wavelet Transforms, Daubechies Wavelet Transform, Fourier Transforms, Noise Removal
{"title":"High-frequency Noise Removal of Audio Files using Daubechies Wavelet Transform","authors":"N. K. Kularathne, M. M. P. M. Fernando, J. M. U. T. D. Jayasinghe","doi":"10.31357/vjs.v26i02.6807","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6807","url":null,"abstract":"In general, audio signals are contaminated with various types of noise. This paper presents a novel signal processing method developed for high-frequency noise elimination using wavelet transforms. As a continuation of a previous study that used Fourier transform for noise removal in audio files, in this study Daubechies wavelets were used to reduce computational complexity and achieve better noise reduction performances. Compared to the Fourier transform, the Daubechies wavelet transform method removes the noise in each signal while preserving its vital characteristics. The suitable level of the Daubechies wavelet for noise removal in each channel was obtained using a trial-and-error approach. It was identified that the ideal range for the level of the Daubechies wavelets for noise removal is between 17 and 20. Moreover, unlike the Fourier transform, the Daubechies wavelet transform demonstrates a proficient capacity in eliminating noise from data point that lies completely outside the rest in the audio data set. Wolfram Mathematica 12.3 software package was used to complete this research. This method can be applied toconserve vintage audio recordings originally recorded in cassettes and spools. Keywords: Digital Signal Processing, Wavelet Transforms, Daubechies Wavelet Transform, Fourier Transforms, Noise Removal","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":" 1074","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139136578","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6802
Anura Rathnayake
Problem The fashion industry is the second most polluting industry globally [UNEP2021] - 85% of all textiles go to landfill each year [WEF2021]. There is growing demand for a shift to circular business models, with new concepts emerging such as “extended producer responsibility” [DEFRA2022], and policy announcements such as the EU Strategy for Sustainable and Circular Textiles, mandating Digital Product Passports (DPP) [EC2023].The Ellen McArthur Foundation [EMF2021] has stated that “Sustainability concerns among customers are also projected to heighten”. This fact, coupled with the preparation of potential new regulatory instruments such as ‘Extended Producer Responsibility’ and other critical regulatory developments, is pushing the industry to consider different and more sustainable ways of producing textile products. A new technology-infrastructure to facilitate this transition is required, to support companiesand consumers access critical data on individual garments. 150 billion items of clothing are produced annually worldwide [EMF2022], of which around 12.5 billion were tagged in 2022, using radiofrequency identification (RFID) technology [Checkpoint2022]. The use of RFID tags is increasing rapidly, with the market projected to reach $35.6 Billion by 2030 [MarketsAndMarkets2022]. However, there are mainly two sustainability related problems holding back the full potential of RFID in the fashion industry: Weaknesses in current RFID-tag technologies: low robustness, non-washability, and attachment to temporary labels not integrated with the garment itself. 12.5 Billion RFID-tags were used last year in the fashion industry, mainly for inventory management [Checkpoint2022]. Those billions of paper/metal/label tags are usually removed immediately after sale and end up in landfill (which is very bad for the environment), because they are not washable or comfortable to wear with thegarment. For garments to be traceable throughout their lifecycle (enabling efficiencies and circular models), there is a need for integrating permanent 'Digital Passports' (e.g. RFID) in each textile-based product, and for easy access to data contained in these Digital Passports. Lack of data access, exchange and integration between supply chain actors: Currently, stakeholders use their own independent data management system/s. Therefore, the biggest challenges for efficient recycling/reuse of clothing is lack of access to data on fibre/material content. This makes it very difficult to implement automated systems for breaking up and separating used clothing items into their different fibre components.
{"title":"RFiD Threads® Technology for Circular Economy and Future Sustainability","authors":"Anura Rathnayake","doi":"10.31357/vjs.v26i02.6802","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6802","url":null,"abstract":"Problem The fashion industry is the second most polluting industry globally [UNEP2021] - 85% of all textiles go to landfill each year [WEF2021]. There is growing demand for a shift to circular business models, with new concepts emerging such as “extended producer responsibility” [DEFRA2022], and policy announcements such as the EU Strategy for Sustainable and Circular Textiles, mandating Digital Product Passports (DPP) [EC2023].The Ellen McArthur Foundation [EMF2021] has stated that “Sustainability concerns among customers are also projected to heighten”. This fact, coupled with the preparation of potential new regulatory instruments such as ‘Extended Producer Responsibility’ and other critical regulatory developments, is pushing the industry to consider different and more sustainable ways of producing textile products. A new technology-infrastructure to facilitate this transition is required, to support companiesand consumers access critical data on individual garments. 150 billion items of clothing are produced annually worldwide [EMF2022], of which around 12.5 billion were tagged in 2022, using radiofrequency identification (RFID) technology [Checkpoint2022]. The use of RFID tags is increasing rapidly, with the market projected to reach $35.6 Billion by 2030 [MarketsAndMarkets2022]. However, there are mainly two sustainability related problems holding back the full potential of RFID in the fashion industry: Weaknesses in current RFID-tag technologies: low robustness, non-washability, and attachment to temporary labels not integrated with the garment itself. 12.5 Billion RFID-tags were used last year in the fashion industry, mainly for inventory management [Checkpoint2022]. Those billions of paper/metal/label tags are usually removed immediately after sale and end up in landfill (which is very bad for the environment), because they are not washable or comfortable to wear with thegarment. For garments to be traceable throughout their lifecycle (enabling efficiencies and circular models), there is a need for integrating permanent 'Digital Passports' (e.g. RFID) in each textile-based product, and for easy access to data contained in these Digital Passports. Lack of data access, exchange and integration between supply chain actors: Currently, stakeholders use their own independent data management system/s. Therefore, the biggest challenges for efficient recycling/reuse of clothing is lack of access to data on fibre/material content. This makes it very difficult to implement automated systems for breaking up and separating used clothing items into their different fibre components.","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"104 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139133903","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6806
R.V.P.S. Akesh, R.G.N. Meegama
In today’s digital era, the significance of speech recognition technology cannot be overstated as it plays a pivotal role in enabling human-computer interaction and supporting various applications. This paper focuses on the development of a real-time subtitle generator for Sinhala speech using speech recognition techniques. The CMUSphinx toolkit, an open-source toolkit based on the Hidden Markov Model (HMM), is employed for the implementation of the application. Mel-frequency cepstral coefficients (MFCC) are utilized for feature extraction from the given ’wav’ format recordings. The paper places significant emphasis on the importance of a real-time subtitle generator for Sinhala speech and explores the existing literature in the field. It outlines the objectives of the research and discusses the achieved outcomes. By fine-tuning hyperparameters to enhance the recognition accuracy of the system, impressive results of 88.28% training accuracy and 11.72% Word Error Rate (WER) are attained. Thesignificance of this research is underscored by its methodological advancements, robust performance metrics, and the potential impact on facilitating seamless interactions and applications in the Sinhala speech domain. Keywords: Speech recognition, Real-time, Subtitle, CMUSphinx, Open source, Hidden Markov Model, Mel-frequency cepstral coefficients, ’wav’, Accuracy, Word Error Rate
{"title":"Real-Time Subtitle Generator for Sinhala Speech","authors":"R.V.P.S. Akesh, R.G.N. Meegama","doi":"10.31357/vjs.v26i02.6806","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6806","url":null,"abstract":"In today’s digital era, the significance of speech recognition technology cannot be overstated as it plays a pivotal role in enabling human-computer interaction and supporting various applications. This paper focuses on the development of a real-time subtitle generator for Sinhala speech using speech recognition techniques. The CMUSphinx toolkit, an open-source toolkit based on the Hidden Markov Model (HMM), is employed for the implementation of the application. Mel-frequency cepstral coefficients (MFCC) are utilized for feature extraction from the given ’wav’ format recordings. The paper places significant emphasis on the importance of a real-time subtitle generator for Sinhala speech and explores the existing literature in the field. It outlines the objectives of the research and discusses the achieved outcomes. By fine-tuning hyperparameters to enhance the recognition accuracy of the system, impressive results of 88.28% training accuracy and 11.72% Word Error Rate (WER) are attained. Thesignificance of this research is underscored by its methodological advancements, robust performance metrics, and the potential impact on facilitating seamless interactions and applications in the Sinhala speech domain. Keywords: Speech recognition, Real-time, Subtitle, CMUSphinx, Open source, Hidden Markov Model, Mel-frequency cepstral coefficients, ’wav’, Accuracy, Word Error Rate","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"120 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134056","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 : 2023-12-31DOI: 10.31357/vjs.v26i02.6803
Yasith R Wanigarathna, D.N.M. Hettiarachchi, U. Manawadu, Ravindra De Silva
In response to the growing need for advanced in-car navigation systems that prioritize user experience and aim to reduce driver cognitive workload, this study addresses the research question of how to enhance the interaction between drivers and navigation systems. The focus is on minimizing distraction while providing personalized and geographically relevant information. The research introduces an innovative in-car robotic navigation system comprising three subsystem models: geofencing,personalization, and conversation. The dynamic geofencing model acquires geographic details related to the user's current location and provides information about required destinations. The personalization model tailors suggestions based on user preferences, while the conversation model, employing two virtual robots, fosters interactive multiparty conversations aligned with the driver's interests. The study's scope is specifically confined to interactive conversations centered on nearby restaurants and the driver's dietary preferences. Evaluation of the system indicates a notable prevalence of neutral expressions amongparticipants during interaction, suggesting that the implemented system successfully mitigates cognitive workload. Participants in the experiments express higher usability and interactivity levels, as evidenced by feedback collected at the study's conclusion, affirming the system's effectiveness in enhancing the user experience while maintaining a driver-friendly environment. Keywords: Human-Robot Interaction, Multiparty Conversation, In-Car Navigation
{"title":"A Multi-Party Conversation-Based Effective Robotic Navigation System for Futuristic Vehicle","authors":"Yasith R Wanigarathna, D.N.M. Hettiarachchi, U. Manawadu, Ravindra De Silva","doi":"10.31357/vjs.v26i02.6803","DOIUrl":"https://doi.org/10.31357/vjs.v26i02.6803","url":null,"abstract":"In response to the growing need for advanced in-car navigation systems that prioritize user experience and aim to reduce driver cognitive workload, this study addresses the research question of how to enhance the interaction between drivers and navigation systems. The focus is on minimizing distraction while providing personalized and geographically relevant information. The research introduces an innovative in-car robotic navigation system comprising three subsystem models: geofencing,personalization, and conversation. The dynamic geofencing model acquires geographic details related to the user's current location and provides information about required destinations. The personalization model tailors suggestions based on user preferences, while the conversation model, employing two virtual robots, fosters interactive multiparty conversations aligned with the driver's interests. The study's scope is specifically confined to interactive conversations centered on nearby restaurants and the driver's dietary preferences. Evaluation of the system indicates a notable prevalence of neutral expressions amongparticipants during interaction, suggesting that the implemented system successfully mitigates cognitive workload. Participants in the experiments express higher usability and interactivity levels, as evidenced by feedback collected at the study's conclusion, affirming the system's effectiveness in enhancing the user experience while maintaining a driver-friendly environment. Keywords: Human-Robot Interaction, Multiparty Conversation, In-Car Navigation","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"112 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135519","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 development of chemosensors has been driven by concurrently advanced research in fluorescence and colorimetric chemosensing. Over the last few decades, the development of copper ion-selective fluorogenic and chromogenic chemosensors has been extensively studied due to their high sensitivity, low cost, and simplicity. They can interact with the metal ion in a unique manner and create measurable color, fluorescence, or redox potential changes. Copper (Cu2+) ion is deemed the third most prevalent transition metal in human beings owing to its various biological and physiological processes. It has drawn a great deal of attention from many researchers in various disciplines such as biology, medicine, and environmental studies. However, an excessive buildup of copper in the body has been linked to several diseases. Thus, more recent research is being focused on developing fluorometric and colorimetric chemosensors for the selective detection of copper ions. Recently, there have been a lot of studies reported in this field of study that describe highly sensitive and sophisticated indole-based chemosensors for various metal ions of interest. In addition, indole derivatives possess inherent fluorescence properties due to their electron-rich nature caused by the π-excessive system of indole, and therefore they can be employed in chemosensors for metal ion detection. Both cations and anions employ it as a molecular recognition system. This review summarizes selective and sensitive Cu2+ ion detection accomplished byvarious indole-based chemosensors between the years 2011 to 2021. Furthermore, sensor design, sensing methods, ligand-metal binding stoichiometry, association constant, and the detection limit by the chemosensors are all summarized and explored. Keywords: Indole, Fluorescent chemosensors, Colorimetric chemosensors, Cu2+, Turn-on, Turn-off
{"title":"Indole-based Fluorometric and Colorimetric Chemosensors for the Selective Detection of Cu2+: A Brief Review From the Year 2011-2021","authors":"A.U.T. De Silva, K.G.U.R. Kumarasinghe","doi":"10.31357/vjs.v1is1.6714","DOIUrl":"https://doi.org/10.31357/vjs.v1is1.6714","url":null,"abstract":"The development of chemosensors has been driven by concurrently advanced research in fluorescence and colorimetric chemosensing. Over the last few decades, the development of copper ion-selective fluorogenic and chromogenic chemosensors has been extensively studied due to their high sensitivity, low cost, and simplicity. They can interact with the metal ion in a unique manner and create measurable color, fluorescence, or redox potential changes. Copper (Cu2+) ion is deemed the third most prevalent transition metal in human beings owing to its various biological and physiological processes. It has drawn a great deal of attention from many researchers in various disciplines such as biology, medicine, and environmental studies. However, an excessive buildup of copper in the body has been linked to several diseases. Thus, more recent research is being focused on developing fluorometric and colorimetric chemosensors for the selective detection of copper ions. Recently, there have been a lot of studies reported in this field of study that describe highly sensitive and sophisticated indole-based chemosensors for various metal ions of interest. In addition, indole derivatives possess inherent fluorescence properties due to their electron-rich nature caused by the π-excessive system of indole, and therefore they can be employed in chemosensors for metal ion detection. Both cations and anions employ it as a molecular recognition system. This review summarizes selective and sensitive Cu2+ ion detection accomplished byvarious indole-based chemosensors between the years 2011 to 2021. Furthermore, sensor design, sensing methods, ligand-metal binding stoichiometry, association constant, and the detection limit by the chemosensors are all summarized and explored. Keywords: Indole, Fluorescent chemosensors, Colorimetric chemosensors, Cu2+, Turn-on, Turn-off","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211077","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}
Oxindole derivatives are nitrogen-containing, five-membered heterocyclic molecules found in both natural and synthetic substances with diverse biological functions. Owing to their pharmaceutical and therapeutic characteristics, oxindoles have received remarkable attention, and various oxindole-containing substances can be synthesized using many different approaches. With the discovery of the importance of oxindole derivatives in medicinal chemistry, mainly in drug synthesis, the demand for finding sustainable protocols has increased, as most classical methods have their limitations and flaws. Hence, it is crucial to establish efficient and sustainable techniques that are safe, cost-effective, have low energy consumption, and cause minimal environmental impact. Nowadays, the use of green solvents in organic synthesis has received much attention because they prevent the formation of waste, are environmentally friendly, and have easy work-up procedures. Green solvents such as water, deep eutectic solvents, ionic liquids, and polyethylene glycol can substitute hazardous solvents. Microwave irradiation, visible-light irradiation, electrochemical methods, and multi-component synthesis are all described under green approaches. Most of these approaches allow the reaction to proceed rapidly while releasing minimal waste into the environment. Recent discoveries in green chemistry applications can be considered a turning point in organic synthesis. This review focuses on promising green approaches, used for the synthesis of oxindole derivatives, carried out in recent years with typical examples in two sections: green solvents and green techniques. Keywords- Oxindole derivatives, Green solvents, Green techniques, Sustainable chemistry, Solvent-free.
{"title":"Recent Advances in Green Approaches for Synthesis of Oxindole Derivatives","authors":"D.M.T.A.Samaradiwakara, H.H.Kandambi, K.G.U.R. Kumarasinghe","doi":"10.31357/vjs.v1is1.6715","DOIUrl":"https://doi.org/10.31357/vjs.v1is1.6715","url":null,"abstract":"Oxindole derivatives are nitrogen-containing, five-membered heterocyclic molecules found in both natural and synthetic substances with diverse biological functions. Owing to their pharmaceutical and therapeutic characteristics, oxindoles have received remarkable attention, and various oxindole-containing substances can be synthesized using many different approaches. With the discovery of the importance of oxindole derivatives in medicinal chemistry, mainly in drug synthesis, the demand for finding sustainable protocols has increased, as most classical methods have their limitations and flaws. Hence, it is crucial to establish efficient and sustainable techniques that are safe, cost-effective, have low energy consumption, and cause minimal environmental impact. Nowadays, the use of green solvents in organic synthesis has received much attention because they prevent the formation of waste, are environmentally friendly, and have easy work-up procedures. Green solvents such as water, deep eutectic solvents, ionic liquids, and polyethylene glycol can substitute hazardous solvents. Microwave irradiation, visible-light irradiation, electrochemical methods, and multi-component synthesis are all described under green approaches. Most of these approaches allow the reaction to proceed rapidly while releasing minimal waste into the environment. Recent discoveries in green chemistry applications can be considered a turning point in organic synthesis. This review focuses on promising green approaches, used for the synthesis of oxindole derivatives, carried out in recent years with typical examples in two sections: green solvents and green techniques. Keywords- Oxindole derivatives, Green solvents, Green techniques, Sustainable chemistry, Solvent-free.","PeriodicalId":214405,"journal":{"name":"Vidyodaya Journal of Science","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212747","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}