The Experts below are selected from a list of 558 Experts worldwide ranked by ideXlab platform
Kai Jen Chuang - One of the best experts on this subject based on the ideXlab platform.
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Houseplant indoor air pollution and cardiovascular effects among elderly subjects in taipei taiwan
Science of The Total Environment, 2020Co-Authors: Ruey Yu Chen, Kinfai Ho, Gui Bing Hong, Kai Jen ChuangAbstract:Abstract Previous studies have documented the linkage between Houseplant usage and indoor air quality (IAQ) improvement. However, the effect of Houseplant on the association between indoor air quality and cardiovascular health is still unknown. We recruited 100 elderly subjects from 100 houses with (50) or without Houseplants (50) in Taipei and conducted six 24-hour house visits for each elderly subject between 2015 and 2016. The particulate matter less than or equal to 2.5 μm in diameter (PM2.5), total volatile compounds (TVOCs), heart rate (HR) and blood pressure (BP) were continuously measured in each house visit. The association between indoor air pollution, BP and HR was investigated by mixed-effects. We found that the elderly subjects in houses without Houseplants were exposed to higher indoor PM2.5 and TVOCs levels compared to the elderly subjects' exposures in houses with Houseplants. Also, the elderly subjects' HR, systolic BP (SBP) and diastolic BP (DBP) were higher in houses without Houseplants than those in houses with Houseplants. Moreover, high indoor air pollution levels were associated with elevated BP and HR, especially among subjects in houses without Houseplants. Accordingly, we concluded that indoor air pollution was associated with cardiovascular effects. Houseplant could improve IAQ and cardiovascular health among elderly subjects in Taipei, Taiwan.
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Indoor ozone levels, Houseplants and peak expiratory flow rates among healthy adults in Taipei, Taiwan.
Environment International, 2018Co-Authors: Li Te Chang, Gui Bing Hong, Shao Ping Weng, Hsiao Chi Chuang, Ta-yuan Chang, Wan Yu Chuang, Kai Jen ChuangAbstract:Abstract The association between Houseplants and indoor air quality improvement has been reported in previous studies. However, the effect of Houseplant-emitted isoprene on the association between ozone (O3) formation and respiratory health remains unclear. We recruited 60 adult subjects from 60 houses with or without Houseplants (1:1) in Taipei; twelve house visits were conducted in each home throughout 2014. The indoor air pollutants that were measured consisted of particulate matter less than or equal to 2.5 μm in diameter (PM2.5), O3 and isoprene. Peak expiratory flow rate (PEFR) was measured in each study subject during each house visit. Household information was collected by a questionnaire. Mixed-effects models were used to explore the association between indoor air pollution levels and PEFR. We found that the concentrations of O3 and isoprene in houses with Houseplants were higher than those in houses without Houseplants. In contrast, PM2.5 levels and % predicted PEFR were higher in houses without Houseplants than in those with Houseplants. Moreover, increased levels of O3 and PM2.5 in houses with Houseplants were associated with a decreased % predicted PEFR, especially in the summer. We concluded that increased levels of indoor O3 and PM2.5 were associated with decreased PEFR. The presence of Houseplants was associated with indoor O3, isoprene and PEFR variations in the summer.
Martina Zoric - One of the best experts on this subject based on the ideXlab platform.
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Quality of life context influence factors improvement using Houseplants and Internet of Things
2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2016Co-Authors: Milos Ljubojevic, Mitar Simic, Zdenka Babic, Martina ZoricAbstract:Modern research directions in smart environment include analysis of factors that influence overall human Quality of Life (QoL). Context influence factors (CIF) are unavoidable within smart environment research. In this paper, we address indoor air quality (IAQ) as one of the main CIF. The major contaminants of indoor air are CO2 and volatile organic compounds (VOCs). There are still no satisfactory methods for air pollutants monitoring and removal. The ability of plants to detoxify these compounds makes biological systems the promising technologies for this purpose. Although precise mechanisms how plants remove VOC are unknown and current knowledge is based on experiments conducted under controlled conditions, it does not prevent us not to use biological air purifiers. Our measurements under uncontrolled conditions in environments where people live, showed that Houseplants' ability to reduce VOC differs from one to another environment. Instead of attempt to design the unique botanical system for air purification, we proposed internet of things (IoT) based methodology for continuous monitoring and objective assessment of IAQ aiming to improve the designing and adaptation of botanical purifiers to specific environment, user's health, living habits and requirements.
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BlackSeaCom - Quality of life context influence factors improvement using Houseplants and Internet of Things
2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2016Co-Authors: Milos Ljubojevic, Zdenka Babic, Mitar Simić, Martina ZoricAbstract:Modern research directions in smart environment include analysis of factors that influence overall human Quality of Life (QoL). Context influence factors (CIF) are unavoidable within smart environment research. In this paper, we address indoor air quality (IAQ) as one of the main CIF. The major contaminants of indoor air are CO2 and volatile organic compounds (VOCs). There are still no satisfactory methods for air pollutants monitoring and removal. The ability of plants to detoxify these compounds makes biological systems the promising technologies for this purpose. Although precise mechanisms how plants remove VOC are unknown and current knowledge is based on experiments conducted under controlled conditions, it does not prevent us not to use biological air purifiers. Our measurements under uncontrolled conditions in environments where people live, showed that Houseplants' ability to reduce VOC differs from one to another environment. Instead of attempt to design the unique botanical system for air purification, we proposed internet of things (IoT) based methodology for continuous monitoring and objective assessment of IAQ aiming to improve the designing and adaptation of botanical purifiers to specific environment, user's health, living habits and requirements.
Ruey Yu Chen - One of the best experts on this subject based on the ideXlab platform.
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Houseplant indoor air pollution and cardiovascular effects among elderly subjects in taipei taiwan
Science of The Total Environment, 2020Co-Authors: Ruey Yu Chen, Kinfai Ho, Gui Bing Hong, Kai Jen ChuangAbstract:Abstract Previous studies have documented the linkage between Houseplant usage and indoor air quality (IAQ) improvement. However, the effect of Houseplant on the association between indoor air quality and cardiovascular health is still unknown. We recruited 100 elderly subjects from 100 houses with (50) or without Houseplants (50) in Taipei and conducted six 24-hour house visits for each elderly subject between 2015 and 2016. The particulate matter less than or equal to 2.5 μm in diameter (PM2.5), total volatile compounds (TVOCs), heart rate (HR) and blood pressure (BP) were continuously measured in each house visit. The association between indoor air pollution, BP and HR was investigated by mixed-effects. We found that the elderly subjects in houses without Houseplants were exposed to higher indoor PM2.5 and TVOCs levels compared to the elderly subjects' exposures in houses with Houseplants. Also, the elderly subjects' HR, systolic BP (SBP) and diastolic BP (DBP) were higher in houses without Houseplants than those in houses with Houseplants. Moreover, high indoor air pollution levels were associated with elevated BP and HR, especially among subjects in houses without Houseplants. Accordingly, we concluded that indoor air pollution was associated with cardiovascular effects. Houseplant could improve IAQ and cardiovascular health among elderly subjects in Taipei, Taiwan.
Rahul Shrivastava - One of the best experts on this subject based on the ideXlab platform.
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Green Synthesis of Silver Nanoparticles Using Leaf Extract of Common Arrowhead Houseplant and Its Anticandidal Activity.
Pharmacognosy magazine, 2018Co-Authors: Mohammad Yasir, Jaspreet Singh, Manish Kumar Tripathi, Pushpendra Singh, Rahul ShrivastavaAbstract:Silver nanoparticles have excellent medical and nonmedical properties and application compared with other metallic nanoparticles. In the present study, fresh leaves of Syngonium podophyllum have been used for synthesis of silver nanoparticles. In this study, we evaluated the anticandidal activity of S. podophyllum and the synthesized nanoparticles. In this study, simple and economical procedure was adopted for silver nanoparticles synthesis. S. podophyllum leaf was processed to obtain aqueous extract as a biological material for nanoparticles production. Synthesized nanoparticles were characterized by ultraviolet (UV) spectroscopy, X-ray diffraction (XRD), and atomic force microscopy. The progress of silver nanoparticles biosynthesis from leaf extract of S. podophyllum was observed by UV-visible spectroscopy. The peaks maxima were observed at 455 nm for silver nanoparticles synthesized from the leaf extracts of S. podophyllum. XRD diffractogram showing Bragg peaks of face-centered cubic crystalline elemental silver confirming the formation of silver nanoparticles. The minimal inhibitory concentration values of aqueous extracts of S. podophyllum leaf were estimated by broth dilution method and found that the extracts exhibited antifungal activity against Candida albicans. The antifungal activity was also determined using disk diffusion method by measuring the diameter for zone of inhibition. S. podophyllum leaf extract shows strong antifungal activity against C. albicans. S. podophyllum could be applied in the fields of medical and pharmaceuticals for formulation of new drugs. The synthesis, characterization, and antifungal activities of silver nanoparticle from Common arrowhead house plant.The silver nanoparticles were confirmed to be spherical in shape.The antifungal activities of the confirmed their therapeutic potential. Abbreviation used: AgNO3: Silver nitrate, MIC: Minimum inhibitory concentration, MTCC: Microbial type culture collection, SPR: Surface plasmon resonance, UV: Ultraviolet, XRD: X-ray diffraction.
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green synthesis of silver nanoparticles using leaf extract of common arrowhead Houseplant and its anticandidal activity
Pharmacognosy Magazine, 2017Co-Authors: Mohammad Yasir, Jaspreet Singh, Manish Kumar Tripathi, Pushpendra Singh, Rahul ShrivastavaAbstract:Background: Silver nanoparticles have excellent medical and nonmedical properties and application compared with other metallic nanoparticles. In the present study, fresh leaves of Syngonium podophyllum have been used for synthesis of silver nanoparticles. Objectives: In this study, we evaluated the anticandidal activity of S. podophyllum and the synthesized nanoparticles. Materials and Methods: In this study, simple and economical procedure was adopted for silver nanoparticles synthesis. S. podophyllum leaf was processed to obtain aqueous extract as a biological material for nanoparticles production. Synthesized nanoparticles were characterized by ultraviolet (UV) spectroscopy, X-ray diffraction (XRD), and atomic force microscopy. Results: The progress of silver nanoparticles biosynthesis from leaf extract of S. podophyllum was observed by UV-visible spectroscopy. The peaks maxima were observed at 455 nm for silver nanoparticles synthesized from the leaf extracts of S. podophyllum. XRD diffractogram showing Bragg peaks of face-centered cubic crystalline elemental silver confirming the formation of silver nanoparticles. The minimal inhibitory concentration values of aqueous extracts of S. podophyllum leaf were estimated by broth dilution method and found that the extracts exhibited antifungal activity against Candida albicans. The antifungal activity was also determined using disk diffusion method by measuring the diameter for zone of inhibition. Conclusion: S. podophyllum leaf extract shows strong antifungal activity against C. albicans. S. podophyllum could be applied in the fields of medical and pharmaceuticals for formulation of new drugs. Abbreviation used: AgNO3: Silver nitrate, MIC: Minimum inhibitory concentration, MTCC: Microbial type culture collection, SPR: Surface plasmon resonance, UV: Ultraviolet, XRD: X-ray diffraction
Milos Ljubojevic - One of the best experts on this subject based on the ideXlab platform.
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Quality of life context influence factors improvement using Houseplants and Internet of Things
2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2016Co-Authors: Milos Ljubojevic, Mitar Simic, Zdenka Babic, Martina ZoricAbstract:Modern research directions in smart environment include analysis of factors that influence overall human Quality of Life (QoL). Context influence factors (CIF) are unavoidable within smart environment research. In this paper, we address indoor air quality (IAQ) as one of the main CIF. The major contaminants of indoor air are CO2 and volatile organic compounds (VOCs). There are still no satisfactory methods for air pollutants monitoring and removal. The ability of plants to detoxify these compounds makes biological systems the promising technologies for this purpose. Although precise mechanisms how plants remove VOC are unknown and current knowledge is based on experiments conducted under controlled conditions, it does not prevent us not to use biological air purifiers. Our measurements under uncontrolled conditions in environments where people live, showed that Houseplants' ability to reduce VOC differs from one to another environment. Instead of attempt to design the unique botanical system for air purification, we proposed internet of things (IoT) based methodology for continuous monitoring and objective assessment of IAQ aiming to improve the designing and adaptation of botanical purifiers to specific environment, user's health, living habits and requirements.
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BlackSeaCom - Quality of life context influence factors improvement using Houseplants and Internet of Things
2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2016Co-Authors: Milos Ljubojevic, Zdenka Babic, Mitar Simić, Martina ZoricAbstract:Modern research directions in smart environment include analysis of factors that influence overall human Quality of Life (QoL). Context influence factors (CIF) are unavoidable within smart environment research. In this paper, we address indoor air quality (IAQ) as one of the main CIF. The major contaminants of indoor air are CO2 and volatile organic compounds (VOCs). There are still no satisfactory methods for air pollutants monitoring and removal. The ability of plants to detoxify these compounds makes biological systems the promising technologies for this purpose. Although precise mechanisms how plants remove VOC are unknown and current knowledge is based on experiments conducted under controlled conditions, it does not prevent us not to use biological air purifiers. Our measurements under uncontrolled conditions in environments where people live, showed that Houseplants' ability to reduce VOC differs from one to another environment. Instead of attempt to design the unique botanical system for air purification, we proposed internet of things (IoT) based methodology for continuous monitoring and objective assessment of IAQ aiming to improve the designing and adaptation of botanical purifiers to specific environment, user's health, living habits and requirements.