Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 84
Filter
Add filters

Document Type
Year range
1.
Indian Journal of Medical and Paediatric Oncology ; JOUR(05):415-423, 43.
Article in English | Web of Science | ID: covidwho-2087370

ABSTRACT

Introduction The novel coronavirus disease 2019 (COVID-19) catastrophe caused significant mental threats to health care workers (HCW), especially during the first wave of the pandemic. India successfully implemented vaccination strategies in January 2021 that is likely to ameliorate the mental health impact of HCWs. The current survey aims to identify the change in impact following vaccination and address the issues affecting mental health. Objective The primary objective is to reevaluate the stress levels of radiation oncology HCWs with vaccine implementation and compare it with the mental health status at the onset of the pandemic. The secondary objective is to identify the current causative factors influencing mental health. Materials and Methods Health care workers who participated in the initial mental health impact survey at the outset of the COVID-19 pandemic from May to July 2020 were included in this study. Two hundred eligible HCWs were reassessed of the total 363 initial assessments. The 7-item Generalised Anxiety Disorder (GAD-7), 9-item Patient Health Questionnaire (PHQ-9), and 22-item Impact of Events Scale-revised (IES-R) was again served for assessing anxiety, depression, and posttraumatic stress disorder. The Mc Nemar test was used to evaluate the change and significance of the mental health impact. Univariate and multivariate analyses were done to identify the causative factors affecting mental health. Results The cohort's median age was 30 years (interquartile range [IQR]: 27-33). The incidence of moderate-to-severe level anxiety, depression, and stress significantly declined to 6.5% ( p = 0.031), 9% ( p = 0.01), and 19% ( p < 0.001) compared with 39.5, 40.5, and 30.5% during the pandemic onset. On further analysis, HCWs with affected family members had higher levels of stress ( p = 0.002). The rest of the parameters did not have significant impact on mental health outcomes. Conclusion With public education, awareness, and vaccination strategies, the second follow-up survey conducted after vaccine implementation demonstrated a significant number of HCWs in the radiation oncology community, exhibiting a decline in the incidence of anxiety, depression, and stress levels compared with the initial wave of the pandemic.

2.
Journal of Pharmaceutical Negative Results ; 13:499-507, 2022.
Article in English | Web of Science | ID: covidwho-2072523

ABSTRACT

After the successful combat with the first covid wave in the country, Mutation created havoc in India. This was addressed to poor social habits and irresponsible covid behavior in the community and lack of awareness. Many studies during and after the pandemic assessed the preventive health and hygiene practices of Health Care and front-line workers and reported substandard and suboptimal practices regarding various subsections, but only a few studies investigated the practices of the conununity, and no study addressed the preventive practices of factory workers and labors. This study assessed the health and hygiene practices of Chittaranjan Locomotive Workers, India, the world's most productive locomotives. A pre-validated questionnaire consisting of 21 items incorporating various subsections including hand hygiene, social distancing, mask, gadgets/fomites, and lifestyle was used for the study. The findings of the study unfold some suboptimal practices regarding hand hygiene, social distancing while working, repeatedly touching, and inappropriate disposal of masks, which could lead to widespread infections, and families of workers were found to be at greater risk. However, in most of the areas workers were aware and cautious but constant vigilance and heightened self-awareness can result in better prevention from infections. The study will contributeto policy framing and program building in times of health emergencies and also will strengthen the health practices of workers who are most vulnerable to infections.

3.
Cyber-Physical Systems: AI and COVID-19 ; : 219-230, 2022.
Article in English | Scopus | ID: covidwho-2048748

ABSTRACT

The sudden outbreak of the virus COVID-19 has created a pandemic situation worldwide. Humankind has not experienced such a danger caused by this disease in the past hundred years. Apart from all the health issues, the pandemic has created an immense impact on social life, economics, mental peace, and all aspects of human life. Prolonged quarantine is creating uncertainties;death tolls are creating fear. According to the World Health Organization, this public health emergency is likely to create anxiety, loneliness, depression, fear of losing jobs, being economically unstable, and committing suicide. In our present discussion, we prepare a statistical record using data collected from all over the world to find the intensity of mental disorder caused by this pandemic. Now we aim at finding the polarity of the specified term used by social media users. We aim to formulate a highly efficient mechanism that will detect depressive sentences more accurately. In our work, we try to formulate an optimal mechanism implementing the Latent Dirichlet Allocation approach to modify our findings and prove through a comparative study that depression affects the highest among people age 40−50. We experience that this age group is highly devastated in fear of losing jobs because of to this pandemic. The standard psychiatric symptom of lack of self-dignity and self-confidence that can happen to a human at the middle age is proliferated due to extended lockdown and its after effects. There is much research in sentiment analysis, which shows us the impact of COVID-19 in recent days. Surprisingly, recognizing symptoms of the midlife crisis in the pandemic situation of COVID-19 is yet to achieve. © 2022 Elsevier Inc. All rights reserved.

5.
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ; 30(03):513-540, 2022.
Article in English | Web of Science | ID: covidwho-1978570

ABSTRACT

Large volumes of structured and semi-structured data are being generated every day. Processing this large amount of data and extracting important information is a challenging task. The goal of an automatic text summarization is to preserve the key information and the overall meaning of the article to be summarized. In this paper, a graph-based approach is followed to generate an extractive summary, where sentences of the article are considered as vertices, and weighted edges are introduced based on the cosine similarities among the vertices. A possible subset of maximal independent sets of vertices of the graph is identified with the assumption that adjacent vertices provide sentences with similar information. The degree centrality and clustering coefficient of the vertices are used to compute the score of each of the maximal independent sets. The set with the highest score provides the final summary of the article. The proposed method is evaluated using the benchmark BBC News data to demonstrate its effectiveness and is applied to the COVID-19 Twitter data to express its applicability in topic modeling. Both the application and comparative study with other methods illustrate the efficacy of the proposed methodology.

6.
Dental Research Journal ; 19:43, 2022.
Article in English | MEDLINE | ID: covidwho-1970496

ABSTRACT

Background: Over the past year, patients infected by severe acute respiratory syndrome coronavirus-2 presented with severe gustatory dysfunction, the prevalence of which varies among different populations. Furthermore, there have been sporadic reports of oral ulceration observed in coronavirus disease-19 (COVID-19) patients due to varied reasons. The aim of this study was to investigate and characterize the presence of gustatory disorders, oral ulceration, and other oral changes in patients with laboratory-confirmed COVID-19 infection. Materials and Methods: In this cross-sectional observational study, a total of 402 participants who were detected COVID-19 positive by reverse transcription-polymerase chain reaction were included. Their demographic and clinical data were recorded through hospital records. The participants were interviewed either in person or on the telephone to record any change in taste and/or changes within the oral cavity. t-test for independent means was used to compare mean age, while other characteristics were compared by Chi-square test and Z-score test. P < 0.05 was taken as significant. Results: Out of the total sample of 402 individuals, 262 were male and 140 were female. The prevalence of gustatory dysfunction and oral ulceration was 43.53% and 15.67%, respectively, in the studied sample. Significantly more females had gustatory dysfunction than males and older subjects more commonly than younger. The symptom of loss/change of taste and oral ulceration were more probable to occur together. In addition, the tongue was the most common site for ulceration in our studied sample. Conclusion: Loss of taste is a common symptom of COVID-19 patients, whereas oral ulceration is not so commonly reported. However, the presence of both these symptoms could impair the quality of life of patients and hamper adequate nutritional uptake.

7.
4th International Conference on Computational Intelligence in Pattern Recognition, CIPR 2022 ; 480 LNNS:11-23, 2022.
Article in English | Scopus | ID: covidwho-1958944

ABSTRACT

To interpret people’s sentiments using Covid 19 twitter data, we discovered that people’s sentiments are distributed across multiple dimensions. Six significant themes were chosen, including administration, disease, healthcare, location, precaution and citizens, because these topics receive a lot of attention on social media. In this paper, we used the modified text rank extractive summarization approach on Covid 19 twitter data to reduce data volume without sacrificing the quality. The keywords are chosen from the pre-processed data set where the frequency of the words exceeds a pre-determined value decided through several trial runs. The goal is to extract the most number of word sets possible from the original tweets. These keywords have been grouped into the six categories listed above. To understand the trend of the topics, all the keywords belonging to a specific topic is searched in the summarised file of a given day, the count of that topic is increased on every successful match of the search. The graphs for the counts of all the themes for each day were then plotted. To identify patterns, seven-day moving average graphs are drawn for each topic. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

8.
JOURNAL OF MARINE MEDICAL SOCIETY ; 24(1):30-36, 2022.
Article in English | Web of Science | ID: covidwho-1939219

ABSTRACT

Introduction: Emergence of a novel coronavirus disease (COVID-19) and its subsequent spread to India lead to declaration of lockdown by the government in various phases to reduce the transmission of COVID-19. Northeastern India being relatively remote had its first case relatively late. Later, with incoming migrant population, there was a surge in cases. This study aims to determine the clinicoepidemiological characteristics and outcomes in COVID-19-positive migrant population treated at multiple centers in Northeast India. Methods: This is a retrospective, cross-sectional,multicentric study. Data were collected from case sheets of 198 COVID-19 positive patients treated at designated COVID-19 hospitals in Northeast India. Results: Independent t-test and Fisher's exact test were used. P < 0.05 was considered statistically significant. Majority of the study population were between 31 and 50 years (62.1%) with overall male preponderance (94.9%). Nearly one-third (31.8%) of the study population gave a history of contact. Fever was seen 92.4% of patients. Majority (97.0%) of the study population had mild-to-moderate disease and only 3.0% were severely diseased/critically ill. 30%, 7%, and 3% of the study population received oxygen support, noninvasive ventilation, and ventilator support, respectively. Only 1.5% of the study population had complications of acute respiratory distress syndrome, shock, and sepsis, and the mortality rate was 1.1%. The average duration of hospitalization was 14.17 +/- 5.48 days, and the average time taken to become COVID negative by reverse transcription polymerase chain reaction was 37.93 +/- 7.54 days. Conclusion: A large number of COVID-positive patients had mild-to-moderate course of disease. Fever was the most common symptom. Around one-third of patients required respiratory support. Rate of complications and mortality were low in the study population. Presence of comorbidities, "O" blood group, abnormal X-ray findings, elevated levels of C-reactive protein, D-dimer, and erythrocyte sedimentation rate had a significant positive association with severity.

9.
FRONTIERS IN SUSTAINABLE FOOD SYSTEMS ; 6, 2022.
Article in English | Web of Science | ID: covidwho-1938656

ABSTRACT

Community gardens are collective projects in which participants collaborate to maintain a garden. They provide many biophysical and cultural ecosystem services, contributing to individual and community resilience and wellbeing. These benefits may be even more appreciated during a crisis such as the COVID-19 pandemic. However, since community gardens require efforts from multiple gardeners in shared spaces, the pandemic also exposed some of their vulnerabilities. This study focuses on the benefits community gardens have offered during the COVID-19 pandemic, the challenges the pandemic posed to sustaining community garden activity, and recommendations to address these issues moving forward. We conducted our study in four cities in New York representing a gradient of socioeconomic and biophysical characteristics: Binghamton, Buffalo, Ithaca, and New York City. We collected data from surveys and semi-structured interviews with community gardeners and analyzed them using mixed models and thematic coding. The primary benefits gardeners derived from their community garden experiences were: a sense of connection with other gardeners, their communities, and nature;mental and physical wellbeing;and a safe space of refuge. In addition to material shortages (e.g., seeds), the biggest challenge gardeners faced due to the pandemic was the limited degree of socializing in the gardens resulting from personal behavioral changes and rules imposed by gardens. Despite the challenges, gardeners reported enjoying the 2020 garden season. The pandemic also created opportunities for gardens to serve their communities, such as organizing programs for composting, food donation and distribution, and home gardening. Our findings suggest that community gardens can be resilient sites of reprieve during crises such as the COVID-19 pandemic, providing essential benefits for gardeners and local residents. To sustain community garden resilience, we recommend community gardens and gardeners cultivate connections and diversity, within and between the biological and human communities of their gardens.

10.
Egyptian Journal of Radiology and Nuclear Medicine ; 53(1), 2022.
Article in English | EMBASE | ID: covidwho-1938375

ABSTRACT

Background: Chest radiographs are frequently used to evaluate pediatric patients with COVID-19 infection during the current pandemic. Despite the minimal radiation dose associated with chest radiography, children are far more sensitive to ionizing radiation's carcinogenic effects than adults. This study aimed to examine whether serum biochemical markers could be potentially used as a surrogate for imaging findings to reduce radiation exposure. Methods: The retrospective posthoc analysis of 187 pediatric patients who underwent initial chest radiographs and serum biochemical parameters on the first day of emergency department admission. The cohort was separated into two groups according to whether or not the initial chest radiograph revealed evidence of pneumonia. Spearman's rank correlation was used to connect serum biochemical markers with observations on chest radiographs. The Student's t-test was employed for normally distributed data, and for non-normally distributed data, the Mann–Whitney U test was used. A simple binary logistic regression was used to determine the importance of LDH in predicting chest radiographs. The discriminating ability of LDH in predicting chest radiographs was determined using receiver operating characteristics (ROC) analysis. The cut-off value was determined using Youden's test. Interobserver agreement was quantified using the Cohen k coefficient. Results: 187 chest radiographs from 187 individual pediatric patients (95 boys and 92 girls;mean age ± SD, 10.1 ± 6.0 years;range, nine months–18 years) were evaluated. The first group has 103 patients who did not have pneumonia on chest radiographs, while the second group contains 84 patients who had evidence of pneumonia on chest radiographs. GGO, GGO with consolidation, consolidation, and peri-bronchial thickening were deemed radiographic evidence of pneumonia in group 2 patients. Individuals in group 2 with radiological indications of pneumonia had significantly higher LDH levels (p = 0.001) than patients in group 1. The Spearman's rank correlation coefficient between LDH and chest radiography score is 0.425, showing a significant link. With a p-value of < 0.001, the simple binary logistic regression analysis result validated the relevance of LDH in predicting chest radiography. An abnormal chest radiograph was related to LDH > 200.50 U/L (AUC = 0.75), according to the ROC method. Interobserver agreement between the two reviewers was almost perfect for chest radiography results in both groups (k = 0.96, p = 0.001). Conclusion: This study results show that, compared to other biochemical indicators, LDH has an 80.6% sensitivity and a 62% specificity for predicting abnormal chest radiographs in a pediatric patient with confirmed COVID-19 infection. It also emphasizes that biochemical measures, rather than chest radiological imaging, can detect the pathogenic response to COVID-19 infection in the chest earlier. As a result, we hypothesized LDH levels might be potentially used instead of chest radiography in children with COVID-19, reducing radiation exposure.

11.
European Stroke Journal ; 7(1 SUPPL):355, 2022.
Article in English | EMBASE | ID: covidwho-1928135

ABSTRACT

Background: During the second wave of COVID-19, India suffered from a catastrophic outburst of cases and rapid transmission of disease due to the highly infectious delta strain (B.1.617.2). Patients infected with this strain underwent prolonged hospitalisations, suffered from severe symptoms. A sudden surge of fungal infections, primarily Mucormycosis was observed. Methods: We conducted a case-control study to study various risk factors and form of intracranial involvement in cases of Mucormycosis. Results: Study included 121 patients in total;out of which 61 were Mucormycosis patients with prior COVID-19 infection. 30 out of 61 Mucormycosis patients had intracranial involvement with majority having stroke in the form of the either infarct (10 patients, 34%);or haemorrhage (3 patients, 10%) and thrombosis of artery involvement (8 patients, 29%). Other intracranial form of involvement was abscess (6 patients, 20%) and meningitis (2 patients, 7%). The most frequent type of infarcts were lacunar infarcts and the most common location of infarcts were middle cerebral artery (MCA) or anterior cerebral artery (ACA). Patients were treated with administration of Amphotericin B and Posaconazole. Telephonic follow-up was conducted after a time period of about 90 days and their health condition was recorded on basis of modified ranking scale (mRS). Out of the 30 Mucormycosis infection patients displaying the occurrence of stroke, 10 patients could not survive. q Conclusion: Intracranial Mucormycosis in COVID19 patients presenting with stroke were observed frequently and had mortality in about one-third cases.

12.
2021 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2021 ; : 377-380, 2021.
Article in English | Scopus | ID: covidwho-1922713

ABSTRACT

The highly polluted Indian cities are retained their normal state during COVID-19 pandemic lockdown. Thus, the study aims to analysis the lockdown impact on NO2 and SO2 in the selected cities. So, the lockdown relative changes (C) are calculated based on baseline and pre-lockdown, for which the ground (Central Pollution Control Board data) and satellite (Sentinel 5P data) measured NO2 and SO2 data were utilised. The study reveals that the average pollutants concentration of NO2 and SO2 is declined to below-average level and indicates that the average dropdown level of NO2 and SO2 are -45.4% and -30.2% for ground pollutants;-45.1% and -43.4% for satellite pollutants respectively. The pandemic lockdown has restricted industrial, vehicular emission, and other anthropogenic activities which resulted in a positive effect on air quality. © 2021 IEEE.

13.
Journal of Mental Health Policy and Economics ; 25(SUPPL 1):S5, 2022.
Article in English | EMBASE | ID: covidwho-1912905

ABSTRACT

Background: In the USA, the early stage of COVID-19 led to stateimposed restrictions on population movement, work activity, and social gatherings. Some research finds that emergency department (ED) visits for psychiatric care declined during these restrictions. This work, however, does not control for strong patterning over time in ED visits, does not examine subtypes of ED visits, and does not test whether these visits strongly rose above expected levels after the loosening of societal restrictions. Aims of the study: We improve upon the literature and analyze, in the largest hospital in the most populous county in the US (Los Angeles, California), two COVID-19-related aims. First, we control for strong temporal patterning and test whether psychiatric ED visits fall below expected levels during the 1st stage of strong societal restrictions-and if so, which ED subtypes account for this decline. Second, we test whether psychiatric ED visits rebounded to greater than expected levels after the loosening of societal restrictions. Method: We obtained counts of psychiatric ED visits (66,451 total over 156 weeks, Jan 2018 to Dec 2020) from Los Angeles County and USC (LAC+USC) hospital. We applied Box-Jenkins time series methods to identify and remove autocorrelation in psychiatric ED visits before examining their relation with the 1st stage of societal restrictions (i.e., March 13 to May 8, 2020) as well as the subsequent period of relaxed restrictions (i.e., May 8 to Dec 31, 2020). If results rejected the null, we explored which type of visits (i.e., depression, schizophrenia, anxiety, suicidal ideation, alcohol use, substance use) accounted for the changes. Results: Psychiatric ED visits fell by 58.47 per week during the 1st stage of societal restrictions (SD=17.59, p<.005). This coefficient sums to 526 fewer visits over the 9-week period, accounting for a 13% fall in visits. Alcohol use and anxiety disorder accounted for the largest share of the reduction. After the 1st stage of societal restrictions, however, we observe no ''rebound'' above expected values in psychiatric ED visits overall (coef= -6.89, SD=13.86, p=.60) or by diagnostic subtype. Discussion: Initial societal restrictions due to COVID-19 reduced the demand for psychiatric ED care. However, after the relaxing of societal restrictions, psychiatric ED visits did not experience a compensatory rebound. This pattern of results does not support the speculation that foregone ED care during the initial societal restrictions subsequently led to a psychiatric ''pandemic'' of urgent visits. Implications for Health Care Provision and Use: The perturbation of ED visits during COVID-19 societal restrictions does not appear to warrant an increase in psychiatric care teams to meet higher ED demand in the long-run. Implications for Health Policies: If replicated, results should encourage attempts to shift, to non-urgent settings, a portion of psychiatric visits that present in the ED. Implications for Further Research: The effectiveness of alternative treatment modalities during the COVID-19 pandemic (e.g., telemedicine) in lieu of ED care, as well as a more careful understanding of potential resilience during societal disruptions, merits further investigation.

14.
REVIEW OF AGRARIAN STUDIES ; 11(2):143-152, 2021.
Article in English | Web of Science | ID: covidwho-1912590
15.
2022 International Conference on Innovations in Science, Engineering and Technology, ICISET 2022 ; : 415-420, 2022.
Article in English | Scopus | ID: covidwho-1901441

ABSTRACT

The severity of criminal activities which cause both physical and psychological damage has been increasing at an alarming rate across the globe. Realizing the significance of this problem, law enforcement agencies have developed several strategies to prevent crimes. Being slow-paced and ineffective in most cases, these prevention strategies are not robust enough to contribute in predicting crime trends for an early prevention. In this paper, we propose a regression-based model that incorporates temporal, statistical relationships and other relevant information about the data to forecast crime trends. Since, seasonal information is a powerful inclusion in an application of time series pattern, we use two popular regression methods, including an extended Autoregressive Integrated Moving Average (Auto ARIMA) and stacked Long Short-Term Memory (LSTM) to analyze crime patterns, specifically during the Covid-19 pandemic lockdown, and generate forecasts. We experimented our methods on London Crime Dataset and obtained some interesting results which can not only be useful to take necessary precautions, but also analyze crime patterns during the period of pandemic lockdowns for generating useful guidelines regarding citizens' life styles and hence, contribute to reducing the crime rates accordingly. © 2022 IEEE.

16.
2022 International Conference on Innovations in Science, Engineering and Technology, ICISET 2022 ; : 117-122, 2022.
Article in English | Scopus | ID: covidwho-1901438

ABSTRACT

New general health problems jeopardize the globe with the growth and breakout of the 2019 novel coronavirus (2019-nCov) or the significant severe respiratory syndrome coronavirus 2 (SARS-Cov-2). The only way to reduce the spread of the virus is to maintain social distance and follow the rules set by our respective governments. However, manual disinfection is time-consuming, challenging, and poses safety dangers. Using robots for disinfection consequently becomes an appealing option. Furthermore, the robot can sanitize a location incredibly fast without exposing ourselves. So, in this research, we constructed a sanitization robot that would eliminate the coronavirus in the hospital and apartment building or elsewhere. In this study, we have developed an Arduino-based wireless robot where UVC Light and Liquid Sanitizer are utilized for eradicating the coronavirus. A servo motor, gear motors, wheels, and L298 motor driver module are employed for distinct purposes of the robot. Moreover, two mobile phones are used as IP Cameras for monitoring the robot. Thus, our robot can be employed for the sanitization procedure so that physical appearance will not be necessary. © 2022 IEEE.

17.
Community Eye Health Journal ; 35(114):4-5, 2022.
Article in English | Scopus | ID: covidwho-1897703

ABSTRACT

Teleconsultations – the use of communications technology to connect health professionals to each other and to patients – are important for providing health care to people in remote areas or to those unable to come to a secondary or teaching hospital, whether due to distance or the COVID-19 pandemic. Teleconsultation is not a new concept, but recent advances in technology solutions, the expansion of internet and cell phone connectivity, and the widespread use of smart devices have all contributed to its immense growth and popularity. © 2022. Community Eye Health Journal. All Rights Reserved.

18.
Journal of Microbiology, Biotechnology and Food Sciences ; 11(6), 2022.
Article in English | Scopus | ID: covidwho-1893791

ABSTRACT

Nutritional diet and essential bioactive supplements can shape out to be a vital technique to attain healthy and well-balanced body functioning. Unhealthy dietary habits can result into various physical ailment and one becomes prone to various disease because of the same. COVID-19 infection depends on a two-phase immune response and the risk of infection or overcoming the infection is higher for stronger immune system. In this piece of writing we have correlated the properties of certain immunity strengthening food against the risk of various viral infections. We had also conducted a survey with people living all across India to study the change in food pattern and preferences during this pandemic lockdown situation and have presented them in graphical format. A healthy diet consisting of variou © 2022. Journal of Microbiology, Biotechnology and Food Sciences. All Rights Reserved.

19.
American Journal of Respiratory and Critical Care Medicine ; 205:1, 2022.
Article in English | English Web of Science | ID: covidwho-1880254
20.
New Journal of Chemistry ; 46(21):26, 2022.
Article in English | Web of Science | ID: covidwho-1868027

ABSTRACT

Synthesis of bio-based environmental remedial and antimicrobial products is an urgent need of the 21st century in the COVID-19 pandemic world. Keeping this in mind, cellulose-supported Ag bionanocomposites (AGC NCs) were synthesized by using cellulose as a reducing and stabilizing agent. AGC NCs showed potential antimicrobial activity against Candida albicans, Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Bacillus subtilis with a MIC of 15, 15, 35, 15, and 30 mu g ml(-1) respectively. AGC NCs efficiently degraded harmful dyes, Orange G, Phenol red, Brilliant blue FCF, Giemsa stain, Neutral red, and 2-nitro aniline in the presence of sunlight with a rate constant of 0.229 x 10(-2) min(-1), 1.147 x 10(-2) L mol(-1) min(-1), 0.447 x 10(-2) L mol(-1) min(-1), 4.144 x 10(-2) mol L-1 min(-1), 0.317 x 10(-2) L mol(-1) min(-1), and 0.785 x 10(-2) L mol(-1) min(-1) in 60 min respectively. AGC NCs also showed efficient antioxidant activity in DPPH assay with an IC50 value of 52.67 mu g ml(-1). Formation of Ag NPs was confirmed by observing the UV-Visible absorption peak at 418 nm. The FCC structure of AGC NCs was confirmed by the X-ray diffraction (XRD) pattern with well-defined peaks at angles 38.24 degrees, 44.40 degrees, 64.64 degrees, and 77.28 degrees corresponding to the planes 111, 200, 220, and 311, with a d-spacing of 2.35, 2.04, 1.44, and 1.23 (JCPDS no. 00-001-1164). The presence of cellulose in AGC NCs was determined by Fourier transform infrared spectroscopy (FTIR) with bands at 3421.90 cm(-1) and 2899.3 cm(-1) due to O-H stretching and the methylene (-CH2-) group respectively and at 1076-1023 cm(-1) and 903 cm(-1) due to -C-O-C- pyranose ring skeletal vibration and beta-glycosidic linkages. The morphology, shape and size (13.21 nm), and elemental composition of the nanocomposites were determined by scanning electron microscopy (SEM), transmission electron microscopy (TEM), and energy dispersive spectroscopy (EDS) respectively. The thermal properties (exothermic peaks appear at 335 degrees C and 440 degrees C due to the thermal degradation of Ag NPs and cellulose respectively), surface area (13.892 m(2) g(-1)), stability (-18.43 +/- 0.850 mV), and hydrodynamic diameter (399.10 +/- 30.49 nm) and polydispersity index (PDI) value (0.565 +/- 0.193) of the composites were determined by thermogravimetric analysis (TGA) and differential thermal analysis (DTA), Brunauer-Emmett-Teller (BET) method, Zeta potential studies, and dynamic light scattering (DLS) respectively.

SELECTION OF CITATIONS
SEARCH DETAIL