Quantification of Vitamins, Minerals, and Amino Acids in Black Walnut (Juglans nigra).

This paper aims to quantify the micronutrients in black walnut and address its human health benefits. The metabolic profiling of 11 black walnut cultivars was accomplished using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight high-resolution mass spectrometer. Results revealed that the highest concentration of vitamin B9 was present in cultivar "Daniel" (avg. relative signal intensity 229.53 × 104 mAU). "Surprise" and "Daniel" cultivars had the highest amount of vitamin B5. However, vitamin A, D3, E, and K showed no significant difference among the cultivars. The vitamin content levels among the cultivars were compared by applying one way ANOVA method with (P < 0.05) significance level. Mineral analysis for the black walnut kernel, Persian walnut, and black walnut protein powder was done using Inductively Coupled Plasma Optical Emission spectroscopy. The experimental data for black walnut kernel is 0.04 mg/g for Fe and 0.03 mg/g for Zn, and for black walnut, protein powder is 0.07 mg/g for Fe and 0.07 mg/g for Zn. The amino acid analysis and comparison with black walnut kernel show that black walnut flour and protein powder have a higher amount of essential and non-essential amino acids. Therefore, researchers, food process engineers, and food product developers should consider the health benefits of black walnuts and explore the commercial potential of this native agroforestry crop.

Risk factors of suicide among public university students of Bangladesh: A qualitative exploration.

Introduction: Suicidal deaths among the students have increased worldwide where Bangladesh is not an exception and the reasons are not well documented. Objective: Revealing the common risk factors of suicide among the public university students of Bangladesh was the aim of this study. Methods: This study utilized a qualitative research design and data was collected from five public universities of Bangladesh where suicidal death found prevailing. Guidelines containing open ended questions were used to conduct in-depth interviews and key informant interviews among thirty public university students and five university professionals respectively. Both purposive and snowball sampling was used to select respondents. Data of this study was analyzed thematically. Results: Findings of this study suggest most of the public university students, committed suicide shows a history of depression, hopelessness, perfectionism, family conflicts, relationship break-up, lack of social support, financial crisis, and academic stress before their attempts. Conclusion: Arranging seminars, workshops, and awareness-raising campaigns are urgently needed to change suicidal behavior among the public university students of Bangladesh. A strong support system should be built with suggestions from mental health professionals, policymakers, researchers, and academicians to ensure good psychological well-being among the students.

An overview of progress towards implementation of solid waste management policies in Dhaka, Bangladesh.

OBJECTIVES: Considering the increased solid waste generation and its management, this paper aims at reviewing and identifying the gaps and challenges in implementing the existing solid waste management relevant policies, strategies and action plans in Bangladesh for providing further strategic recommendations to establish a sustainable waste management system. METHODS: This study adopted a multi-method approach by reviewing 24 policy/strategy documents; implementation gap analysis with extensive desk review and data obtained from the qualitative approach and co-production workshop. It allowed this study to capture the multidimensional and comprehensive scenario of waste management in Dhaka city. RESULTS: Bangladesh has undergone reforms in solid waste management since 1983 with the adoption of the Dhaka City Corporation Ordinance and the enactment of the National 3R Strategy in 2010. With few exceptions, the overall waste management system cannot be defined as an effective comprehensive waste reduction, recycling and disposal mechanism based on global standards. Study found that several action plans have been introduced yet not all of those have proper implementation like adhering the waste segregation and recycling practices from households to landfill level. Lack of monitoring and coordination among the existing policy implementing agencies have emerged as significant concerns in Bangladesh. CONCLUSION: Challenges in the implementation of pragmatic and improved policies and strategies should be addressed.

An overview of recent advances and applications of FT-IR spectroscopy for quality, authenticity, and adulteration detection in edible oils.

Authenticity and adulteration detection are primary concerns of various stakeholders, such as researchers, consumers, manufacturers, traders, and regulatory agencies. Traditional approaches for authenticity and adulteration detection in edible oils are time-consuming, complicated, laborious, and expensive; they require technical skills when interpreting the data. Over the last several years, much effort has been spent in academia and industry on developing vibrational spectroscopic techniques for quality, authenticity, and adulteration detection in edible oils. Among them, Fourier transforms infrared (FT-IR) spectroscopy has gained enormous attention as a green analytical technique for the rapid monitoring quality of edible oils at all stages of production and for detecting and quantifying adulteration and authenticity in edible oils. The technique has several benefits such as rapid, precise, inexpensive, and multi-analytical; hence, several parameters can be predicted simultaneously from the same spectrum. Associated with chemometrics, the technique has been successfully implemented for the rapid detection of adulteration and authenticity in edible oils. After presenting the fundamentals, the latest research outcomes in the last 10 years on quality, authenticity, and adulteration detection in edible oils using FT-IR spectroscopy will be highlighted and described in this review. Additionally, opportunities, challenges, and future trends of FT-IR spectroscopy will also be discussed.

Dhaka landfill waste practices: addressing urban pollution and health hazards.

Two Dhaka, Bangladesh, landfills are explored to understand how management practices impact environmental quality and public health in the surrounding areas. A combination of research methods is used, such as geospatial buffer zone analysis, semi-structured observation checklist and qualitative interviews, to gain an understanding of the waste transportation, leachate percolation, and adverse health and environmental effects. A multi-ring buffer zone and ground truth method were applied through ArcMap for the spatial distribution of landfill-adjacent environmental features. Qualitative interviews were conducted with landfill officials and nearby residents. Findings reveal that landfills are situated very close to residential areas, water bodies and agricultural lands, exposing them to various health and environmental hazards. Improper solid waste management practices of the landfills cause adverse environmental effects by leachate percolation, waste incineration and vector breeding. Adjacent dwellers suffer from bronchial diseases, pneumonia, diarrhoea, itching problems, headache and appetite loss. The existing solid waste management system requires managerial and technical modifications to reduce the associated environmental pollution and health hazards.

Evolutionary dynamics of SARS-CoV-2 nucleocapsid protein (N protein) and its consequences

The emerging novel coronavirus SARS-CoV-2 has created a global confusing pandemic health crisis that warrants an accurate and detailed characterization of the rapidly evolving viral genome for understanding its epidemiology, pathogenesis and containment. We explored 61,485 sequences of the Nucleocapsid (N) protein, a potent diagnostic and prophylactic target, for identifying the mutations to review their roles in RT-PCR based diagnosis and observe consequent impacts. Compared to the Wuhan reference strain, a total of 1034 unique nucleotide mutations were identified in the mutant strains (49.15%, n=30,221) globally. Of these mutations, 367 occupy primer binding sites including 3-end mismatch to primer-pair of 11 well characterized primer sets. Noteworthy, CDC (USA) recommended N2 primer set contained lower mismatch than the other primer sets. Moreover, 684 amino acid (aa) substitutions located across 317 (75.66% of total aa) unique positions including 82, 21, and 83 of those in RNA binding N-terminal domain (NTD), SR-rich region, and C-terminal dimerization domain (CTD), respectively. Moreover, 11 in-frame deletions were revealed, mostly (n =10) within the highly flexible linker region, and the rest within the NTD region. Furthermore, we predicted the possible consequences of high-frequency mutations ([≥] 20) and deletions on the tertiary structure of the N protein. Remarkably, we observed that high frequency (67.94% of mutated sequences) coevolving mutations (R203K and G204R) destabilized and decreased overall structural flexibility. Despite being proposed as the alternate target to spike protein for vaccine and therapeutics, ongoing nonsynonymous evolution of the N protein may challenge the endeavors, thus need further immunoinformatics analyses. Therefore, continuous monitoring is required for tracing the ongoing evolution of the SARS-CoV-2 N protein in prophylactic and diagnostic interventions.

Comprehensive annotations of the mutational spectra of SARS-CoV-2 spike protein: a fast and accurate pipeline

In order to explore nonsynonymous mutations and deletions in the spike (S) protein of SARS-CoV-2, we comprehensively analyzed 35,750 complete S protein gene sequences from across six continents and five climate zones around the world, as documented in the GISAID database as of June 24th, 2020. Through a custom Python-based pipeline for analyzing mutations, we identified 27,801 (77.77 % of spike sequences) mutated strains compared to Wuhan-Hu-1 strain. 84.40% of these strains had only single amino-acid (aa) substitution mutations, but an outlier strain from Bosnia and Herzegovina (EPI_ISL_463893) was found to possess six aa substitutions. The D614G variant of the major G clade was found to be predominant across circulating strains in all climates. We also identified 988 unique aa substitution mutations distributed across 660 positions within the spike protein, with eleven sites showing high variability - these sites had four types of aa variations at each position. Besides, 17 in-frame deletions at four major regions (three in N-terminal domain and one just downstream of the RBD) may have possible impact on attenuation. Moreover, the mutational frequency differed significantly (p= 0.003, Kruskal-Wallis test) among the SARS-CoV-2 strains worldwide. This study presents a fast and accurate pipeline for identifying nonsynonymous mutations and deletions from large dataset for any particular protein coding sequence and presents this S protein data as representative analysis. By using separate multi-sequence alignment with MAFFT, removing ambiguous sequences and in-frame stop codons, and utilizing pairwise alignment, this method can derive nonsynonymus mutations (Reference:Position:Strain). We believe this will aid in the surveillance of any proteins encoded by SARS-CoV-2, and will prove to be crucial in tracking the ever-increasing variation of many other divergent RNA viruses in the future.

Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an in silico approach

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concern declared by the World Health Organization (WHO). An immuno-informatics approach along with comparative genomic was applied to design a multi-epitope-based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M and E proteins. The tertiary structure was predicted, refined and validated using advanced bioinformatics tools. The candidate vaccine showed an average of [≥] 90.0% world population coverage for different ethnic groups. Molecular docking of the chimeric vaccine peptide with the immune receptors (TLR3 and TLR4) predicted efficient binding. Immune simulation predicted significant primary immune response with increased IgM and secondary immune response with high levels of both IgG1 and IgG2. It also increased the proliferation of T-helper cells and cytotoxic T-cells along with the increased INF-{gamma} and IL-2 cytokines. The codon optimization and mRNA secondary structure prediction revealed the chimera is suitable for high-level expression and cloning. Overall, the constructed recombinant chimeric vaccine candidate demonstrated significant potential and can be considered for clinical validation to fight against this global threat, COVID-19.

Investigation of the Key Pharmacological Activities of Ficus racemosa and Analysis of Its Major Bioactive Polyphenols by HPLC-DAD.

Objective. Oxidative stress leads to numerous physiological disorders including infectious diseases, inflammation, and cancer. The present study was carried out to investigate antioxidant, antibacterial, and cytotoxic activity of methanol crude extract of leaves and fruits of the Ficus racemosa (LCME and FCME, resp.) and to analyse its major bioactive polyphenols by HPLC-DAD. Methods. Antioxidant capacity of the extracts was evaluated by DPPH free radical scavenging, reducing power, total phenolic, total flavonoid, total tannin content assay, superoxide radical, hydroxyl radical, and hydrogen peroxide scavenging assay. Identification and quantification of bioactive polyphenols were done by HPLC-DAD method. Antibacterial activity was tested by "disc diffusion" method. Brine shrimp lethality assay was carried out to check the cytotoxic potential. Result. Both LCME and FCME showed DPPH scavenging ability and concentration dependent reducing power activity. They had phenolic content, flavonoid content, and tannin content. Both the extracts showed superoxide radical scavenging ability, hydroxyl radical scavenging ability, and hydrogen peroxide scavenging ability. HPLC analysis of LCME and FCME indicated the presence of significant amount of gallic acid along with other phenolic constituents. Conclusion. Significant amount of gallic acid along with other phenolic constituents might have played an important role in the observed antioxidant, antibacterial, and cytotoxic activity.