Microwave-Assisted Alkali Delignification Coupled with Non-Ionic Surfactant Effect on the Fermentable Sugar Yield from Agricultural Residues of Cassava

Cassava stem, leaves and peel are agricultural residues generated as waste biomass during the cultivation and processing of cassava. The potential of these biomasses as feedstock for ethanol production depends on the effective deconstruction via pretreatment and saccharification. The effect of alkaline hydrogen peroxide (AHP) treatment on microwave (MW)-irradiated or steam-exposed aqueous slurry was compared with MW-irradiation (300 W) of alkali slurry in delignifying the biomass and degrading the polysaccharides. Cellulose was degraded to a higher extent than hemicellulose in the AHP treatments. The steam-exposed and AHP pretreated residues on saccharification with Cellic (Cellulase complex) alone or Cellic along with Tween 20 resulted in high conversion of carbohydrate to reducing sugars (RS) in leaves (64-70%) and peel (74- 78%), with slightly lower conversion in stem. MW-irradiation of alkali slurry (5 min.) followed by Tween 20 supplemented saccharification was a better strategy degrading cellulose and hemicellulose to very high extent. Tween 20 supplementation was beneficial in enhancing the RS release from the biomasses even when Cellic dosage was halved. Ultrastructural studies indicated the disappearance of starch granules from stem and peel samples after MW-irradiation and saccharification, while fragmented cellulose fibers were visible in leaf samples. The study showed that MW-assisted alkali pretreatment followed by saccharification with Cellic in presence of Tween 20 was very effective in releasing maximum sugars from these biomasses

Biofuels from cyanobacteria -a metabolic engineering approach

The concern about the limited availability of petroleum-based fuels and their role in increasing CO2 levels in the atmosphere has sparked significant attention toward biofuel and bioenergy production. The global pursuit of sustainable energy sources has catalyzed innovative research into alternative biofuel production strategies. Transforming CO2 into usable fuels and chemicals is gaining even more prominence. Cyanobacteria, renowned for their photosynthetic ability, have emerged as promising candidates for biofuel synthesis. Their ability to convert solar energy and carbon dioxide into valuable biofuels makes them a compelling avenue for sustainable energy solutions. Using metabolic engineering principles, researchers have endeavored to optimize cyanobacterial metabolic pathways, enhance photosynthetic efficiency, and redirect carbon flux toward biofuel precursors. Numerous species of cyanobacteria offer genetic and metabolic traits that facilitate manipulation, and their photosynthetic characteristics imply that carbohydrates, fatty acids, and even alcohol could serve as potential renewable sources for biofuels. This review showcases cyanobacteria's ability as a biofuel source and emphasizes the transformative influence of metabolic engineering employed in the creation and production of "cyanofuels

A Validated RP-HPLC Method for the Determination of Telmisartan In Bulk and Pharmaceutical Dosage Form

A RP-HPLC method has been developed and validated for the estimation of telmisartan in bulk and pharmaceutical dosage form. A RP-HPLC isocratic separation was achieved on C18 column (250.6 mm i.d., 5m) utilizing a mobile phase comprising of methanol and acetonitrile in the ratio of 90: 10(v/v) and the eluents from the column were detected using a variable wavelength detector at 237nm. The proposed method has permitted the quantification of telmisartan in the linearity range of 20-100g/ml and the flow rate was maintained at 1ml/min. The column was maintained at ambient temperature and the complete separation was achieved for telmisartan in an overall analytical run time of approximately 10 minutes. The retention time of telmisartan was found to be 3.3 minutes. The limit of detection and limit of quantification were found to be 2.82 and 8.54 ?g/ml, respectively. The percentage recovery was found to be in between 87.3 to 103.18%. The method was found to be suitable for the routine quality control analysis of telmisartan in bulk drug and formulation. The method was validated as per ICH guidelines

Cocoa Care - An Android Application for Cocoa Disease Identification

India is an agricultural country. The correct and timely identification of diseases in crops is very much essential in agriculture. To obtain more valuable products, a product quality control is basically mandatory. Cocoa is an economically important crop that nowadays enlarges its production in southern India. To assist the farmers growing cocoa, we developed an android application Cocoa-Care. This application automatically identifies the diseases of cocoa crops, thereby helps the farmers who have little or no information about the disease. This application is developed by applying digital image processing techniques on the diseased cocoa images. Our approach replaces the manual disease inspection by the android application that identifies the cocoa disease from the captured image and suggests the possible remedies for the farmer. We used moment based texture features for the image representation and description. The matching is performed by nearest neighbor classifier. The results obtained are promising and this application can be used in the real time

Self-medication amongst pregnant women in a tertiary care teaching hospital in India

Background: Self-medication is a popular practice in developing countries where there is no strict regulation of drugs sold in local pharmacies. General public is usually unaware of the adverse effects of drugs used for common illness and continue using them without prescription during pregnancy. This study was carried out to know the extent of self-medication practised by pregnant women and various factors associated with it.Methods: A questionnaire based, cross-sectional study of pregnant women visiting the OB GYN-OPD of a tertiary care teaching hospital was conducted. 303 eligible subjects were questioned and statistical analysis was carried out.Results: Total 16.5% women were found to be self-medicating during pregnancy for common conditions like headache (26%), fever (23%) and common cold (19%). Odds Ratio between the self-medicating and non-self-medicating groups for variables like age (<25 years; ≥25 years), education (illiterate; literate) and gestational age (<20 weeks; ≥20 weeks) are 1.6, 2 and 1.73 respectively. Women with a history of self-medicating before pregnancy were significantly more likely to continue doing so during pregnancy (p value <0.00001).Conclusions: A significant proportion of pregnant women have been found to self-medicate without knowing the adverse effects of the drug used. Thus, spreading awareness against this health-predicament is necessary

भारतीय मात्स्यिकी क्षेत्र में जेंडर मुख्य धारा और स्वयं सहायक ग्रुपों का प्रभाव: एक क्षणिक चित्रण

जेंडर मुख्य धारा का सार क़ानन, नीतिया कार्यक्र मों सहित सभी क्षेत्रों और स्तरों में स्त्री और पुरुष के भेद को पहचानन है। यह महिलाओऔर पुरुषों में चितंओ को जगाने और सभी राजनैतिक, आर्थिक और सामाजिक क्षेत्रों में नीतियों और कार्यक्र मों केडि जाइन, कार्यान्वयन, निगरानी और मूल्यांकन के जीवंत आयाम का अनुभव करने की रणनीति है, जिससे महिला और पुरुष समान रूप से लाभान्वित हों और असमानता का सामना न करना पड़े

Customisation of the Exome Data Analysis Pipeline Using a Combinatorial Approach

The advent of next generation sequencing (NGS) technologies have revolutionised the way biologists produce, analyse and interpret data. Although NGS platforms provide a cost-effective way to discover genome-wide variants from a single experiment, variants discovered by NGS need follow up validation due to the high error rates associated with various sequencing chemistries. Recently, whole exome sequencing has been proposed as an affordable option compared to whole genome runs but it still requires follow up validation of all the novel exomic variants. Customarily, a consensus approach is used to overcome the systematic errors inherent to the sequencing technology, alignment and post alignment variant detection algorithms. However, the aforementioned approach warrants the use of multiple sequencing chemistry, multiple alignment tools, multiple variant callers which may not be viable in terms of time and money for individual investigators with limited informatics know-how. Biologists often lack the requisite training to deal with the huge amount of data produced by NGS runs and face difficulty in choosing from the list of freely available analytical tools for NGS data analysis. Hence, there is a need to customise the NGS data analysis pipeline to preferentially retain true variants by minimising the incidence of false positives and make the choice of right analytical tools easier. To this end, we have sampled different freely available tools used at the alignment and post alignment stage suggesting the use of the most suitable combination determined by a simple framework of pre-existing metrics to create significant datasets

A method for detergent-free isolation of membrane proteins in their local lipid environment.

Despite the great importance of membrane proteins, structural and functional studies of these proteins present major challenges. A significant hurdle is the extraction of the functional protein from its natural lipid membrane. Traditionally achieved with detergents, purification procedures can be costly and time consuming. A critical flaw with detergent approaches is the removal of the protein from the native lipid environment required to maintain functionally stable protein. This protocol describes the preparation of styrene maleic acid (SMA) co-polymer to extract membrane proteins from prokaryotic and eukaryotic expression systems. Successful isolation of membrane proteins into SMA lipid particles (SMALPs) allows the proteins to remain with native lipid, surrounded by SMA. We detail procedures for obtaining 25 g of SMA (4 d); explain the preparation of protein-containing SMALPs using membranes isolated from Escherichia coli (2 d) and control protein-free SMALPS using E. coli polar lipid extract (1-2 h); investigate SMALP protein purity by SDS-PAGE analysis and estimate protein concentration (4 h); and detail biophysical methods such as circular dichroism (CD) spectroscopy and sedimentation velocity analytical ultracentrifugation (svAUC) to undertake initial structural studies to characterize SMALPs (∼2 d). Together, these methods provide a practical tool kit for those wanting to use SMALPs to study membrane proteins

Qualitative analysis of how patients decide that they want risk-reducing mastectomy, and the implications for surgeons in responding to emotionally-motivated patient requests

Objective Contemporary approaches to medical decision-making advise that clinicians should respect patients’ decisions. However, patients’ decisions are often shaped by heuristics, such as being guided by emotion, rather than by objective risk and benefit. Risk-reducing mastectomy (RRM) decisions focus this dilemma sharply. RRM reduces breast cancer (BC) risk, but is invasive and can have iatrogenic consequences. Previous evidence suggests that emotion guides patients’ decision-making about RRM. We interviewed patients to better understand how they made decisions about RRM, using findings to consider how clinicians could ethically respond to their decisions. Methods Qualitative face-to-face interviews with 34 patients listed for RRM surgery and two who had decided against RRM. Results Patients generally did not use objective risk estimates or, indeed, consider risks and benefits of RRM. Instead emotions guided their decisions: they chose RRM because they feared BC and wanted to do ‘all they could’ to prevent it. Most therefore perceived RRM to be the ‘obvious’ option and made the decision easily. However, many recounted extensive post-decisional deliberation, generally directed towards justifying the original decision. A few patients deliberated before the decision because fears of surgery counterbalanced those of BC. Conclusion Patients seeking RRM were motivated by fear of BC, and the need to avoid potential regret for not doing all they could to prevent it. We suggest that choices such as that for RRM, which are made emotionally, can be respected as autonomous decisions, provided patients have considered risks and benefits. Drawing on psychological theory about how people do make decisions, as well as normative views of how they should, we propose that practitioners can guide consideration of risks and benefits even, where necessary, after patients have opted for surgery. This model of practice could be extended to other medical decisions that are influenced by patients’ emotions

Clinical characteristics and outcomes of patients with heart failure with reduced ejection fraction and chronic obstructive pulmonary disease: insights from PARADIGM-HF

Background: Chronic obstructive pulmonary disease (COPD) is a common comorbidity in heart failure with reduced ejection fraction, associated with undertreatment and worse outcomes. New treatments for heart failure with reduced ejection fraction may be particularly important in patients with concomitant COPD. Methods and Results: We examined outcomes in 8399 patients with heart failure with reduced ejection fraction, according to COPD status, in the PARADIGM‐HF (Prospective Comparison of Angiotensin Receptor Blocker–Neprilysin Inhibitor With Angiotensin‐Converting Enzyme Inhibitor to Determine Impact on Global Mortality and Morbidity in Heart Failure) trial. Cox regression models were used to compare COPD versus non‐COPD subgroups and the effects of sacubitril/valsartan versus enalapril. Patients with COPD (n=1080, 12.9%) were older than patients without COPD (mean 67 versus 63 years; P&lt;0.001), with similar left ventricular ejection fraction (29.9% versus 29.4%), but higher NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide; median, 1741 pg/mL versus 1591 pg/mL; P=0.01), worse functional class (New York Heart Association III/IV 37% versus 23%; P&lt;0.001) and Kansas City Cardiomyopathy Questionnaire–Clinical Summary Score (73 versus 81; P&lt;0.001), and more congestion and comorbidity. Medical therapy was similar in patients with and without COPD except for beta‐blockade (87% versus 94%; P&lt;0.001) and diuretics (85% versus 80%; P&lt;0.001). After multivariable adjustment, COPD was associated with higher risks of heart failure hospitalization (hazard ratio [HR], 1.32; 95% CI, 1.13–1.54), and the composite of cardiovascular death or heart failure hospitalization (HR, 1.18; 95% CI, 1.05–1.34), but not cardiovascular death (HR, 1.10; 95% CI, 0.94–1.30), or all‐cause mortality (HR, 1.14; 95% CI, 0.99–1.31). COPD was also associated with higher risk of all cardiovascular hospitalization (HR, 1.17; 95% CI, 1.05–1.31) and noncardiovascular hospitalization (HR, 1.45; 95% CI, 1.29–1.64). The benefit of sacubitril/valsartan over enalapril was consistent in patients with and without COPD for all end points. Conclusions: In PARADIGM‐HF, COPD was associated with lower use of beta‐blockers and worse health status and was an independent predictor of cardiovascular and noncardiovascular hospitalization. Sacubitril/valsartan was beneficial in this high‐risk subgroup. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01035255