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  1. Article: Same-day MRI In TIA clinic: have dedicated MRI slots helped improve access to neuroimaging in line with NICE recommendations?

    Cox, Caitriona / Rozi, Nur Razlina / Agarwal, Smriti

    Future healthcare journal

    2024  Volume 10, Issue Suppl 3, Page(s) 82–83

    Language English
    Publishing date 2024-04-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 3016427-8
    ISSN 2514-6653 ; 2514-6645
    ISSN (online) 2514-6653
    ISSN 2514-6645
    DOI 10.7861/fhj.10-3-s82
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Machine learning approaches for the treatment of textile wastewater using sugarcane bagasse (Saccharum officinarum) biochar.

    Kumari, Sheetal / Chowdhry, Jyoti / Choudhury, Alakto / Agarwal, Smriti / Narad, Priyanka / Garg, Manoj Chandra

    Environmental science and pollution research international

    2024  

    Abstract: Most dyes present in wastewater from the textile industry exhibit toxicity and are resistant to biodegradation. Hence, the imperative arises for the environmentally significant elimination of textile dye by utilising agricultural waste. The achievement ... ...

    Abstract Most dyes present in wastewater from the textile industry exhibit toxicity and are resistant to biodegradation. Hence, the imperative arises for the environmentally significant elimination of textile dye by utilising agricultural waste. The achievement of this objective can be facilitated through the utilisation of the adsorption mechanism, which entails the passive absorption of pollutants using biochar. In this study, we compare the efficacy of the response surface methodology (RSM), the artificial neural network (ANN), the k-nearest neighbour (kNN), and adaptive neuro-fuzzy inference system (ANFIS) in removing crystal violet (CV) from wastewater. The characterisation of biochar is carried out by scanning electron microscope (SEM) and Fourier transform infrared (FTIR). The impacts of the solution pH, adsorbent dosage, initial dye concentration, and temperature were investigated using a variety of models (RSM, ANN, kNN, and ANFIS). The statistical analysis of errors was conducted, resulting in a maximum removal effectiveness of 97.46% under optimised settings. These conditions included an adsorbent dose of 0.4 mg, a pH of 5, a CV concentration of 40.1 mg/L, and a temperature of 20 °C. The ANN, RSM, kNN, and ANFIS models all achieved R
    Language English
    Publishing date 2024-01-16
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-31826-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Use of artificial intelligence for optimizing biosorption of textile wastewater using agricultural waste

    Aghilesh, K / Kumar, Ajay / Agarwal, Smriti / Garg, Manoj Chandra / Joshi, Himanshu

    Environmental Technology. 2023 Jan. 02, v. 44, no. 1 p.22-34

    2023  

    Abstract: Most of the dyes are toxic and non-biodegradable in textile industry wastewaters. Therefore, removal of textile dye using agriculture waste becomes crucial for the environment. This can be accomplished by the biosorption process which is the passive ... ...

    Abstract Most of the dyes are toxic and non-biodegradable in textile industry wastewaters. Therefore, removal of textile dye using agriculture waste becomes crucial for the environment. This can be accomplished by the biosorption process which is the passive uptake of pollutants by agricultural waste. In this study, Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) were used to obtain optimum conditions for Methylene Blue (MB) removal using sugarcane bagasse and peanut hulls as low-cost agricultural waste. The experimental design was carried out to study the effect of temperature, pH, biosorbent amount and dye concentration. The maximum MB dye removal considering the effect of total dissolved solids from aqueous solutions of 74.49% and 67.99% by sugarcane bagasse and peanut hulls, respectively. The models specify that they could predict biosorption with high accuracy having R ²-value above 0.9. Statistical studies for RSM, ANFIS and ANN models were compared. Further, the models were optimized for maximum dye removal was at 1.21 g of biosorbent, pH 5.24, 31.24 mg/L MB concentration, 22.29°C of dye solution using sugarcane bagasse and at 1.37 g of biosorbent, pH 5.77, 36.7 mg/L MB concentration, 26.8°C of dye solution using peanut hulls. Additionally, Fourier Transform Infra-Red (FTIR) spectral analysis was also carried out to confirm the biosorption.
    Keywords agricultural wastes ; biosorbents ; biosorption ; environmental technology ; experimental design ; fabrics ; fuzzy logic ; methylene blue ; neural networks ; pH ; peanuts ; response surface methodology ; spectral analysis ; sugarcane bagasse ; temperature ; textile industry ; textile mill effluents ; toxicity ; wastewater ; Artificial neural network ; peanut hulls
    Language English
    Dates of publication 2023-0102
    Size p. 22-34.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ISSN 1479-487X
    DOI 10.1080/09593330.2021.1961874
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Resolvin D1-loaded nanoliposomes promote M2 macrophage polarization and are effective in the treatment of osteoarthritis.

    Dravid, Ameya A / M Dhanabalan, Kaamini / Agarwal, Smriti / Agarwal, Rachit

    Bioengineering & translational medicine

    2022  Volume 7, Issue 2, Page(s) e10281

    Abstract: Current treatments for osteoarthritis (OA) offer symptomatic relief but do not prevent or halt the disease progression. Chronic low-grade inflammation is considered a significant driver of OA. Specialized proresolution mediators are powerful agents of ... ...

    Abstract Current treatments for osteoarthritis (OA) offer symptomatic relief but do not prevent or halt the disease progression. Chronic low-grade inflammation is considered a significant driver of OA. Specialized proresolution mediators are powerful agents of resolution but have a short in vivo half-life. In this study, we have engineered a Resolvin D1 (RvD1)-loaded nanoliposomal formulation (Lipo-RvD1) that targets and resolves the OA-associated inflammation. This formulation creates a depot of the RvD1 molecules that allows the controlled release of the molecule for up to 11 days in vitro. In surgically induced mice model of OA, only controlled-release formulation of Lipo-RvD1 was able to treat the progressing cartilage damage when administered a month after the surgery, while the free drug was unable to prevent cartilage damage. We found that Lipo-RvD1 functions by damping the proinflammatory activity of synovial macrophages and recruiting a higher number of M2 macrophages at the site of inflammation. Our Lipo-RvD1 formulation was able to target and suppress the formation of the osteophytes and showed analgesic effect, thus emphasizing its ability to treat clinical symptoms of OA. Such controlled-release formulation of RvD1 could represent a patient-compliant treatment for OA.
    Language English
    Publishing date 2022-03-07
    Publishing country United States
    Document type Journal Article
    ISSN 2380-6761
    ISSN 2380-6761
    DOI 10.1002/btm2.10281
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Integrating artificial neural networks and response surface methodology for predictive modeling and mechanistic insights into the detoxification of hazardous MB and CV dyes using Saccharum officinarum L. biomass.

    Kumari, Sheetal / Chowdhry, Jyoti / Sharma, Pinki / Agarwal, Smriti / Chandra Garg, Manoj

    Chemosphere

    2023  Volume 344, Page(s) 140262

    Abstract: The presence of dye pollutants in industrial wastewater poses significant environmental and health risks, necessitating effective treatment methods. The optimal adsorption treatment of methylene blue (MB) and crystal violet (CV) dye-simulated wastewater ... ...

    Abstract The presence of dye pollutants in industrial wastewater poses significant environmental and health risks, necessitating effective treatment methods. The optimal adsorption treatment of methylene blue (MB) and crystal violet (CV) dye-simulated wastewater utilising Saccharum officinarum L presents a key challenge in the selection of appropriate modelling approaches. While RSM and ANN models are frequently used, there is a noticeable knowledge gap when it comes to evaluating their relative strengths and weaknesses in this context. The study compared the predictive abilities of response surface methodology (RSM) and artificial neural network (ANN) for the adsorption treatment of MB and CV dye-simulated wastewater using Saccharum officinarum L. The process experimental variables were modelled and predicted using a three-layer artificial neural network trained using the Levenberg-Marquard backpropagation algorithm and 30 central composite designs (CCD). The adsorption study used a specific mechanism, which led to noteworthy maximum removals of 98.3% and 98.2% for dyes (MB and CV), respectively. The RSM model achieved an impressive R
    MeSH term(s) Gentian Violet ; Wastewater ; Methylene Blue/chemistry ; Saccharum ; Coloring Agents ; Biomass ; Cellulose ; Water Pollutants, Chemical ; Kinetics ; Neural Networks, Computer ; Adsorption ; Environmental Pollutants ; Hydrogen-Ion Concentration
    Chemical Substances Gentian Violet (J4Z741D6O5) ; Wastewater ; Methylene Blue (T42P99266K) ; Coloring Agents ; Cellulose (9004-34-6) ; Water Pollutants, Chemical ; Environmental Pollutants
    Language English
    Publishing date 2023-10-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2023.140262
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A systematic approach towards optimization of brackish groundwater treatment using nanofiltration (NF) and reverse osmosis (RO) hybrid membrane filtration system

    Srivastava, Alka / Singh, Rajneesh / Rajput, Vishnu D. / Minkina, Tatiana / Agarwal, Smriti / Garg, Manoj Chandra

    Chemosphere. 2022 Sept., v. 303

    2022  

    Abstract: This research compares the performance efficiencies of Nanofiltration (NF), Reverse osmosis (RO), and Nanofiltration-Reverse Osmosis (NF-RO) hybrid membrane filtration systems, for treatment of brackish groundwater in Delhi-NCR region. Central composite ... ...

    Abstract This research compares the performance efficiencies of Nanofiltration (NF), Reverse osmosis (RO), and Nanofiltration-Reverse Osmosis (NF-RO) hybrid membrane filtration systems, for treatment of brackish groundwater in Delhi-NCR region. Central composite design (CCD) of response surface methodology (RSM) were applied to formulate predictive models for the optimization and simulation of various responses, viz. Water flux, salt rejection, permeate recovery and specific energy consumption (SEC). Three different input factors (feed concentration, pH and pressure) were evaluated. Significance of RSM model was tested and validated with use of an analysis of variance (ANOVA). The models were also compared graphically for their prediction ability. The optimum conditions were determined by numerical optimization of the NF and RO membrane pilot plants. Finally, hybrid configurations of NF and RO were investigated utilising the optimum conditions to identify the technology suitable for the remediation of brackish groundwater. Despite, RO membrane eliminating over 99% of TDS from groundwater, the lower recovery rate renders it environmentally unfavourable. Result indicates that recovery of the hybrid system (40.35%) was greater than that of RO alone (18.796%) and SEC also decreases (5.090–3.8 kW H/m³). Hence, combining a hybrid membrane arrangement with NF-RO to treat brackish groundwater for improved recovery and lower SEC is a viable alternative.
    Keywords analysis of variance ; groundwater ; groundwater treatment ; microfiltration ; models ; nanofiltration ; pH ; prediction ; remediation ; response surface methodology ; reverse osmosis ; specific energy
    Language English
    Dates of publication 2022-09
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2022.135230
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: An Eco-sustainable Green Approach for Biosorption of Methylene Blue Dye from Textile Industry Wastewater by Sugarcane Bagasse, Peanut Hull, and Orange Peel: A Comparative Study Through Response Surface Methodology, Isotherms, Kinetic, and Thermodynamics

    Jain, Harshita / Yadav, Varsha / Rajput, Vishnu D. / Minkina, Tatiana / Agarwal, Smriti / Garg, Manoj Chandra

    Water, air, and soil pollution. 2022 June, v. 233, no. 6

    2022  

    Abstract: The present work focuses on the feasibility of elimination of Methylene Blue dye from the textile wastewater with the use of economical organic biosorbents like Sugarcane Bagasse (SCB), Peanut Hull (PHB) and Orange peel (OPB). Batch adsorption tests were ...

    Abstract The present work focuses on the feasibility of elimination of Methylene Blue dye from the textile wastewater with the use of economical organic biosorbents like Sugarcane Bagasse (SCB), Peanut Hull (PHB) and Orange peel (OPB). Batch adsorption tests were performed based on pH, temperature, contact time, initial adsorbate concentration, and dose of biosorbents as independent variables by employing a central composite design (CCD) approach of response surface methodology (RSM). After 90 min of contact time, the dye adsorption equilibrium was reached. It was explained with the help of Langmuir and Freundlich adsorption isotherms for the full concentration ranges of 20–100 mg/L. RSM combined with CCD is used to optimize the experiments for achieving the optimum conditions for the removal of dye. The adsorption data are used for the kinetic modeling from the pseudo-first- and pseudo-second-order kinetic equations. Thermodynamic parameters such as changes in entropy (∆S), enthalpy (∆H), and free energy (∆G) were investigated, also showed that the adsorption was natural and endothermic by removing the randomness of color at the solid and liquid interface. Biosorbent characterization was additionally performed by Fourier-transform infrared spectroscopy (FTIR) to study the adsorption of Methylene Blue before and after the tests. The dimensionless separation factor (RL) and expected results illustrated that SCB, PHB, and OCB could be used to substitute commercially available biosorbents for aqueous solutions and eliminate Methylene Blue dye from textile wastewater.
    Keywords Fourier transform infrared spectroscopy ; Gibbs free energy ; adsorption ; air ; biosorbents ; biosorption ; color ; comparative study ; endothermy ; enthalpy ; entropy ; industrial wastewater ; liquids ; methylene blue ; orange peels ; pH ; peanut hulls ; response surface methodology ; soil pollution ; sorption isotherms ; sugarcane bagasse ; temperature ; textile industry ; textile mill effluents ; water
    Language English
    Dates of publication 2022-06
    Size p. 187.
    Publishing place Springer International Publishing
    Document type Article
    ZDB-ID 120499-3
    ISSN 1573-2932 ; 0049-6979 ; 0043-1168
    ISSN (online) 1573-2932
    ISSN 0049-6979 ; 0043-1168
    DOI 10.1007/s11270-022-05655-0
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Bioengineering Strategies for Developing Vaccines against Respiratory Viral Diseases.

    Iyer, Shalini / Yadav, Rajesh / Agarwal, Smriti / Tripathi, Shashank / Agarwal, Rachit

    Clinical microbiology reviews

    2021  Volume 35, Issue 1, Page(s) e0012321

    Abstract: Respiratory viral pathogens like influenza and coronaviruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have caused outbreaks leading to millions of deaths. Vaccinations are, to date, the best and most economical way to control ... ...

    Abstract Respiratory viral pathogens like influenza and coronaviruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have caused outbreaks leading to millions of deaths. Vaccinations are, to date, the best and most economical way to control such outbreaks and have been highly successful for several pathogens. Currently used vaccines for respiratory viral pathogens are primarily live attenuated or inactivated and can risk reversion to virulence or confer inadequate immunity. The recent trend of using potent biomolecules like DNA, RNA, and protein antigenic components to synthesize vaccines for diseases has shown promising results. Still, it remains challenging to translate due to their high susceptibility to degradation during storage and after delivery. Advances in bioengineering technology for vaccine design have made it possible to control the physicochemical properties of the vaccines for rapid synthesis, heightened antigen presentation, safer formulations, and more robust immunogenicity. Bioengineering techniques and materials have been used to synthesize several potent vaccines, approved or in trials, against coronavirus disease 2019 (COVID-19) and are being explored for influenza, SARS, and Middle East respiratory syndrome (MERS) vaccines as well. Here, we review bioengineering strategies such as the use of polymeric particles, liposomes, and virus-like particles in vaccine development against influenza and coronaviruses and the feasibility of adopting these technologies for clinical use.
    MeSH term(s) Bioengineering ; COVID-19 ; Humans ; SARS-CoV-2 ; Vaccination ; Vaccine Development
    Language English
    Publishing date 2021-11-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 645015-5
    ISSN 1098-6618 ; 0893-8512
    ISSN (online) 1098-6618
    ISSN 0893-8512
    DOI 10.1128/CMR.00123-21
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Hyperacute stroke thrombolysis via telemedicine: a multicentre study of performance, safety and clinical efficacy.

    Evans, Nicholas Richard / Sibson, Lynda / Day, Diana J / Agarwal, Smriti / Shekhar, Raj / Warburton, Elizabeth A

    BMJ open

    2022  Volume 12, Issue 1, Page(s) e057372

    Abstract: Objectives: Timely thrombolysis of ischaemic stroke improves functional recovery, yet its delivery nationally is challenging due to shortages in the stroke specialist workforce and large geographical areas. One solution is remote stroke specialist input ...

    Abstract Objectives: Timely thrombolysis of ischaemic stroke improves functional recovery, yet its delivery nationally is challenging due to shortages in the stroke specialist workforce and large geographical areas. One solution is remote stroke specialist input to regional centres via telemedicine. This study evaluates the usage and key metrics of performance of the East of England Stroke Telemedicine Partnership-the largest telestroke service in the UK-in providing hyperacute stroke care.
    Design: Prospective observational study.
    Setting: The East of England Stroke Telemedicine Partnership provides a horizontal 'hubless' model of out-of-hours hyperacute stroke care to a population of 6.2 million across a 7500 square mile semirural region.
    Participants: All (2709) telestroke consultations between 1 January 2014 and 31 December 2019.
    Main outcome measures: Thrombolysis decision, pre-thrombolysis and post-thrombolysis stroke severity (National Institutes of Health Stroke Scale, NIHSS), haemorrhagic complications, and hyperacute pathway timings.
    Results: Over the period, 1149 (42.4%) individuals were thrombolysed. Thrombolysis rates increased from 147/379 (38.8%) in 2014 to 225/490 (45.9%) in 2019. Median (IQR) pre-thrombolysis NIHSS was 10 (6-17), reducing to 6 (2-14) 24-hour post-thrombolysis (p<0.001). Post-thrombolysis haemorrhage occurred in 27 cases (2.3%). Over the period, median (IQR) door-to-needle time reduced from 85 (65-108) min to 68 (55-97.5) min (p<0.01), driven by improved imaging-to-needle times from 52.5 (38-72.25) min to 42 (30.5-62.5) min (p<0.01). However, the same period saw an increase in median onset-to-hospital arrival time from 77.5 (60-109.25) min to 95 (70-135) min (p<0.001).
    Conclusions: The results from this large hyperacute telestroke cohort indicate two important points for clinical practice. First, telemedicine via a hubless horizontal model provides a clinically effective and safe method for delivering hyperacute stroke thrombolysis. Second, improved door-to-needle times were offset by a concerning rise in prehospital timings. These findings indicate that although telemedicine may benefit in-hospital hyperacute stroke care, improvements across the whole stroke pathway are essential.
    MeSH term(s) Brain Ischemia/drug therapy ; Fibrinolytic Agents/therapeutic use ; Humans ; Stroke/drug therapy ; Stroke/epidemiology ; Telemedicine/methods ; Thrombolytic Therapy/methods ; Tissue Plasminogen Activator ; Treatment Outcome
    Chemical Substances Fibrinolytic Agents ; Tissue Plasminogen Activator (EC 3.4.21.68)
    Language English
    Publishing date 2022-01-17
    Publishing country England
    Document type Journal Article ; Multicenter Study ; Observational Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2021-057372
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  10. Article: Intra-articular injection of rapamycin microparticles prevent senescence and effectively treat osteoarthritis.

    Dhanabalan, Kaamini M / Dravid, Ameya A / Agarwal, Smriti / Sharath, Ramanath K / Padmanabhan, Ashok Kumar / Agarwal, Rachit

    Bioengineering & translational medicine

    2022  Volume 8, Issue 1, Page(s) e10298

    Abstract: Trauma to the knee joint is associated with significant cartilage degeneration and erosion of subchondral bone, which eventually leads to osteoarthritis (OA), resulting in substantial morbidity and healthcare burden. With no disease-modifying drugs in ... ...

    Abstract Trauma to the knee joint is associated with significant cartilage degeneration and erosion of subchondral bone, which eventually leads to osteoarthritis (OA), resulting in substantial morbidity and healthcare burden. With no disease-modifying drugs in clinics, the current standard of care focuses on symptomatic relief and viscosupplementation. Modulation of autophagy and targeting senescence pathways are emerging as potential treatment strategies. Rapamycin has shown promise in OA disease amelioration by autophagy upregulation, yet its clinical use is hindered by difficulties in achieving therapeutic concentrations, necessitating multiple weekly injections. Rapamycin-loaded in poly(lactic-co-glycolic acid) microparticles (RMPs) induced autophagy, prevented senescence, and sustained sulphated glycosaminoglycans production in primary human articular chondrocytes from OA patients. RMPs were potent, nontoxic, and exhibited high retention time (up to 35 days) in mice joints. Intra-articular delivery of RMPs effectively mitigated cartilage damage and inflammation in surgery-induced OA when administered as a prophylactic or therapeutic regimen. Together, the study demonstrates the feasibility of using RMPs as a potential clinically translatable therapy to prevent the progression of post-traumatic OA.
    Language English
    Publishing date 2022-05-05
    Publishing country United States
    Document type Journal Article
    ISSN 2380-6761
    ISSN 2380-6761
    DOI 10.1002/btm2.10298
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