80 research outputs found

    ANALISIS TIMBAL (II) DALAM AIR MENGGUNAKAN TEKNIK LIBS DENGAN BANTUAN ADSORBEN POLIURETAN-SELULOSA ASETAT

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    Teknik Laser-Induced Breakdown Spectroscopy (LIBS) tengah marak dikembangkan aplikasinya untuk dapat menganalisis polutan logam berat dalam air. Ini dikarenakan kelebihan yang dimiliki teknik LIBS, seperti proses yang cepat, cara pengoperasian yang mudah, dan tidak memerlukan pre-treatment yang rumit. Namun demikian, ketika laser ditembakkan ke permukaan cairan, plasma yang dihasilkan cenderung kecil dan adanya percikan air yang membuat signal yang terbaca menjadi tidak stabil. Untuk itu, ion logam yang terlarut dalam air terlebih dahulu dikonversi menjadi bentuk solid melalui adsorpsi. Membran poliuretan-selulosa asetat dapat digunakan sebagai adsorben terhadap berbagai macam ion logam, yang mana pada penelitian ini menggunakan Pb2+ sebagai model ion logam berat. Membran poliuretan-selulosa asetat telah dikarakterisasi menggunakan spektroskopi inframerah dan Scanning Electron Microscopy (SEM), menunjukkan adanya modifikasi secara kimia dan morfologi permukaan. Selain itu, penambahan rantai poliuretan pada selulosa asetat juga mempengaruhi sifat fisik dan termalnya. Dalam analisis LIBS, delay time dan energi optimum yang digunakan masing-masing adalah 3000 ns dan 54 mJ. Pengaruh waktu kontak, pH dan konsentrasi awal pada adsorpsi Pb2+ telah diamati dengan teknik LIBS. Kurva kalibrasi yang dihasilkan pada penelitian ini memiliki bentuk kuadratik dengan persamaan y = 0.0036x2 - 0.0035x + 2.4386 dan R2 = 0,996. LOD yang didapatkan relatif lebih rendah dibandingkan dengan penelitian-penelitian sebelumnya. Dengan demikian dapat disimpulkan bahwa membran PUSA dapat diaplikasikan pada analisis kualitatif dan kuantitatif Pb2+ dalam air menggunakan teknik LIBS, dengan keunggulan metode yang lebih praktis dan dapat digunakan secara in-situ

    The epidemiology and burden of cardiovascular diseases in countries of the Association of Southeast Asian Nations (ASEAN), 1990–2021: findings from the Global Burden of Disease Study 2021

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    Background: The Association of Southeast Asian Nations (ASEAN) has undergone substantial epidemiological changes over the past three decades, characterised by a growing burden of cardiovascular disease. This study provides an epidemiological overview of cardiovascular diseases across ASEAN. Methods: As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2021, we assessed the prevalence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) of 12 cardiovascular diseases, stratified by age, sex, and location, for ten ASEAN member states (Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Viet Nam) from 1990 to 2021. We examined the contribution of major risk factors associated with cardiovascular disease. Diverse data sources and meta-analytical modelling techniques were used to synthesise data and generate consistent estimates for each metric. Findings: In 2021, there were 36·8 million (95% uncertainty interval 34·4–38·8) prevalent cases of cardiovascular disease and 1·66 million (1·51–1·80) cardiovascular disease deaths across ASEAN. The total number of DALYs was 42·4 million (38·4–46·2), making cardiovascular disease the leading cause of disease burden in the region. Compared with 1990, the number of individuals with cardiovascular disease has increased by 148·1% (144·0–152·5), whereas the age-standardised prevalence rate rose by 2·5% (1·4–3·6). The highest age-standardised prevalence rate was in Malaysia, followed by Indonesia. The top three leading cardiovascular diseases with the highest age-standardised prevalence rates were ischaemic heart disease (2070·6 [1831·3–2358·2] per 100 000 people), lower extremity peripheral arterial disease (1380·8 [1189·8–1598·7] per 100 000 people), and stroke (1300·6 [1230·5–1375·4] per 100 000 people). The age-standardised mortality rate was highest in Laos (410·9 deaths [337·2–485·9] per 100 000 people). Most cardiovascular disease burden was attributed to high systolic blood pressure, dietary risks, air pollution, high low- density lipoprotein cholesterol, and tobacco use, with high BMI and high fasting plasma glucose rapidly rising as attributive factors. Interpretation: Cardiovascular disease remained the leading cause of mortality and morbidity in ASEAN in 2021. The number of individuals with cardiovascular disease is expected to rise with an ageing population and socioeconomic advancement. Given the disparities across ASEAN, interventions must be tailored at all levels to address the needs in prevention, treatment, and management

    Global, regional, and national burden of household air pollution, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    Background: Despite a substantial reduction in the use of solid fuels for cooking worldwide, exposure to household air pollution (HAP) remains a leading global risk factor, contributing considerably to the burden of disease. We present a comprehensive analysis of spatial patterns and temporal trends in exposure and attributable disease from 1990 to 2021, featuring substantial methodological updates compared with previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study, including improved exposure estimations accounting for specific fuel types. Methods: We estimated HAP exposure and trends and attributable burden for cataract, chronic obstructive pulmonary disease, ischaemic heart disease, lower respiratory infections, tracheal cancer, bronchus cancer, lung cancer, stroke, type 2 diabetes, and causes mediated via adverse reproductive outcomes for 204 countries and territories from 1990 to 2021. We first estimated the mean fuel type-specific concentrations (in μg/m3) of fine particulate matter (PM2·5) pollution to which individuals using solid fuels for cooking were exposed, categorised by fuel type, location, year, age, and sex. Using a systematic review of the epidemiological literature and a newly developed meta-regression tool (meta-regression: Bayesian, regularised, trimmed), we derived disease-specific, non-parametric exposure–response curves to estimate relative risk as a function of PM2·5 concentration. We combined our exposure estimates and relative risks to estimate population attributable fractions and attributable burden for each cause by sex, age, location, and year. Findings: In 2021, 2·67 billion (95% uncertainty interval [UI] 2·63–2·71) people, 33·8% (95% UI 33·2–34·3) of the global population, were exposed to HAP from all sources at a mean concentration of 84·2 μg/m3. Although these figures show a notable reduction in the percentage of the global population exposed in 1990 (56·7%, 56·4–57·1), in absolute terms, there has been only a decline of 0·35 billion (10%) from the 3·02 billion people exposed to HAP in 1990. In 2021, 111 million (95% UI 75·1–164) global disability-adjusted life-years (DALYs) were attributable to HAP, accounting for 3·9% (95% UI 2·6–5·7) of all DALYs. The rate of global, HAP-attributable DALYs in 2021 was 1500·3 (95% UI 1028·4–2195·6) age-standardised DALYs per 100 000 population, a decline of 63·8% since 1990, when HAP-attributable DALYs comprised 4147·7 (3101·4–5104·6) age-standardised DALYs per 100 000 population. HAP-attributable burden remained highest in sub-Saharan Africa and south Asia, with 4044·1 (3103·4–5219·7) and 3213·5 (2165·4–4409·4) age-standardised DALYs per 100 000 population, respectively. The rate of HAP-attributable DALYs was higher for males (1530·5, 1023·4–2263·6) than for females (1318·5, 866·1–1977·2). Approximately one-third of the HAP-attributable burden (518·1, 410·1–641·7) was mediated via short gestation and low birthweight. Decomposition of trends and drivers behind changes in the HAP-attributable burden highlighted that declines in exposures were counteracted by population growth in most regions of the world, especially sub-Saharan Africa. Interpretation: Although the burden attributable to HAP has decreased considerably, HAP remains a substantial risk factor, especially in sub-Saharan Africa and south Asia. Our comprehensive estimates of HAP exposure and attributable burden offer a robust and reliable resource for health policy makers and practitioners to precisely target and tailor health interventions. Given the persistent and substantial impact of HAP in many regions and countries, it is imperative to accelerate efforts to transition under-resourced communities to cleaner household energy sources. Such initiatives are crucial for mitigating health risks and promoting sustainable development, ultimately improving the quality of life and health outcomes for millions of people. Funding: Bill & Melinda Gates Foundation

    Forecasting the effects of smoking prevalence scenarios on years of life lost and life expectancy from 2022 to 2050: a systematic analysis for the Global Burden of Disease Study 2021

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    BackgroundSmoking is the leading behavioural risk factor for mortality globally, accounting for more than 175 million deaths and nearly 4·30 billion years of life lost (YLLs) from 1990 to 2021. The pace of decline in smoking prevalence has slowed in recent years for many countries, and although strategies have recently been proposed to achieve tobacco-free generations, none have been implemented to date. Assessing what could happen if current trends in smoking prevalence persist, and what could happen if additional smoking prevalence reductions occur, is important for communicating the effect of potential smoking policies. MethodsIn this analysis, we use the Institute for Health Metrics and Evaluation's Future Health Scenarios platform to forecast the effects of three smoking prevalence scenarios on all-cause and cause-specific YLLs and life expectancy at birth until 2050. YLLs were computed for each scenario using the Global Burden of Disease Study 2021 reference life table and forecasts of cause-specific mortality under each scenario. The reference scenario forecasts what could occur if past smoking prevalence and other risk factor trends continue, the Tobacco Smoking Elimination as of 2023 (Elimination-2023) scenario quantifies the maximum potential future health benefits from assuming zero percent smoking prevalence from 2023 onwards, whereas the Tobacco Smoking Elimination by 2050 (Elimination-2050) scenario provides estimates for countries considering policies to steadily reduce smoking prevalence to 5%. Together, these scenarios underscore the magnitude of health benefits that could be reached by 2050 if countries take decisive action to eliminate smoking. The 95% uncertainty interval (UI) of estimates is based on the 2·5th and 97·5th percentile of draws that were carried through the multistage computational framework. FindingsGlobal age-standardised smoking prevalence was estimated to be 28·5% (95% UI 27·9–29·1) among males and 5·96% (5·76–6·21) among females in 2022. In the reference scenario, smoking prevalence declined by 25·9% (25·2–26·6) among males, and 30·0% (26·1–32·1) among females from 2022 to 2050. Under this scenario, we forecast a cumulative 29·3 billion (95% UI 26·8–32·4) overall YLLs among males and 22·2 billion (20·1–24·6) YLLs among females over this period. Life expectancy at birth under this scenario would increase from 73·6 years (95% UI 72·8–74·4) in 2022 to 78·3 years (75·9–80·3) in 2050. Under our Elimination-2023 scenario, we forecast 2·04 billion (95% UI 1·90–2·21) fewer cumulative YLLs by 2050 compared with the reference scenario, and life expectancy at birth would increase to 77·6 years (95% UI 75·1–79·6) among males and 81·0 years (78·5–83·1) among females. Under our Elimination-2050 scenario, we forecast 735 million (675–808) and 141 million (131–154) cumulative YLLs would be avoided among males and females, respectively. Life expectancy in 2050 would increase to 77·1 years (95% UI 74·6–79·0) among males and 80·8 years (78·3–82·9) among females. InterpretationExisting tobacco policies must be maintained if smoking prevalence is to continue to decline as forecast by the reference scenario. In addition, substantial smoking-attributable burden can be avoided by accelerating the pace of smoking elimination. Implementation of new tobacco control policies are crucial in avoiding additional smoking-attributable burden in the coming decades and to ensure that the gains won over the past three decades are not lost. FundingBloomberg Philanthropies and the Bill & Melinda Gates Foundation.Bloomberg Philanthropies and the Bill & Melinda Gates Foundation

    Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

    Antiviral Molecular Targets of Essential Oils against SARS-CoV-2: A Systematic Review

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    Essential oils are potential therapeutics for coronavirus disease 2019 (COVID-19), in which some of the volatile compounds of essential oils have been well known for their broad antiviral activities. These therapeutic candidates have been shown to regulate the excessive secretion of pro-inflammatory cytokines, which underlies the pathogenesis of severe COVID-19. We aimed to identify molecular targets of essential oils in disrupting the cell entry and replication of SARS-CoV-2, hence being active as antivirals. Literature searches were performed on PubMed, Scopus, Scillit, and CaPlus/SciFinder (7 December 2022) with a truncated title implying the anti-SARS-CoV-2 activity of essential oil. Data were collected from the eligible studies and described narratively. Quality appraisal was performed on the included studies. A total of eight studies were included in this review; four of which used enzyme inhibition assay, one—pseudo-SARS-CoV-2 culture; two—whole SARS-CoV-2 culture; and one—ACE2-expressing cancer cells. Essential oils may prevent the SARS-CoV-2 infection by targeting its receptors on the cells (ACE2 and TMPRSS2). Menthol, 1,8-cineole, and camphor are among the volatile compounds which serve as potential ACE2 blockers. β-caryophyllene may selectively target the SARS-CoV-2 spike protein and inhibit viral entry. Other interactions with SARS-CoV-2 proteases and RdRp are observed based on molecular docking. In conclusion, essential oils could target proteins related to the SARS-CoV-2 entry and replication. Further studies with improved and uniform study designs should be carried out to optimize essential oils as COVID-19 therapies

    SINTESIS BUSA POLIURETAN TERMODIFIKASI KITOSAN UNTUK ADSORPSI LOGAM MERKURI

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    Sintesis busa poliuretan termodifikasi kitosan (Chi-PUF) telah dilakukan dan diaplikasikan untuk mengadsorpsi logam merkuri dalam air. Sintesis busa poliuretan memanfaatkan minyak jarak sebagai poliol karena sifatnya yang biodegradable dan harganya yang murah. Untuk meningkatkan sifat fisik busa poliuretan, gliserol ditambahkan dalam bahan poliol sebanyak 20 %. Chi-PUF disintesis dengan variasi komposisi campuran A (minyak jarak dan gliserol), toluen diisosianat (TDI), akuades dan kitosan dengan variasi suhu pre-heating. Sifat fisik dan morfologi Chi-PUF diuji menggunakan spektroskopi fourier transform infra-red FT-IR, scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX) dan differential scanning calorimetry (DSC). Komposisi campuran A : TDI : akuades optimum yang diperoleh adalah 1 : 0,5 : 0,5. Hasil uji adsorpsi pada kondisi optimum ditunjukkan oleh uji adsorpsi pada pH 7 dengan waktu kontak 60 menit. Adsorpsi ion logam Hg (II) oleh Chi-PUF mengikuti model isoterm Fruendlih (R2 = 0,9417). Uji adsorpsi pada tiga sampel air sumur yang mengandung merkuri menunjukkan persen removal tersebar sebanyak 83,049%.Banda Ace
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