Evaluation of some effective potentialities of newly formulated rice fermented food using Elephantopus scaber L. rhizome as herbal starter

Traditionally, fermented food and beverages are prepared by adding a mixture of plant residues as a starter or source of microbes. Most of the conventional fermented foods use a local starter which contains a mixture of herbs or old ferment or otherwise cereal dust-coated tablet. In this study, we have made an attempt to prepare a rice-based fermented food with the herbal starter (0.5% w/w) of Elephantopus scaber L. rhizome, and also examined its microbial and nutrient profiles. The food product is fortified with organic acid and titratable acidity of 0.58% and also contained an excellent source of microbes (LAB and Bifidobacterium sp.). The fermented food contains significant amount of fat, protein, minerals, vitamins, oligosaccharide, unsaturated fatty acids (ω3, ω6, ω7 and ω9) and a pool of free amino acids. The presence of phytochemical contents in the fermented rice was also exhibited significant effects against commercially available free radicals (DPPH, ABTS, FRAP and OH-radicals). Thus, food-grade microbes containing newly formulated fermented food would provide essential macro-and micro-nutrients to the individuals and convey the sustainability of good health. Therefore, the mentioned plant part would be used as an effective starter for aiding rice-based food products

Dietotherapeutic potency of ornamental lentil dumpling, a traditional food preparation from South West Bengal, India

Gahana bori (in Bengali) or ornamental lentil dumpling is a state-of-art preparation designed in the form of paisleys, ornaments or flowers, used as a decorative adjunct with the main dish.. Here, we have made an attempt to evaluate the dirtotherapeutic potency of this traditional preparation. The principal ingredient is the Vigna mungo (blackgram/ urad bean). In its preparation, the soaked bean is pasted and placed on a cloth piece having a central small pore. The fermented paste is squeezed onto the poppy seeds containing plate in such a way that it looks like an ornament. The sundried preparation is generally fried in oil and served along with the meal. For the first time, we have scientifically explored Gahana bori. The number of total aerobes, total anaerobes, yeast, mould, and LAB were increased during soaking. The contents of free phenolics and flavonoids were increased in the fermented paste and that also reflected by the higher in vitro DPPH antioxidant activity. The levels of B-group of vitamins particularly the quantity of riboflavin, thiamin, folic acid, vitamin B12, and vitamin C were also enriched in the products. The water extract of this product exhibited a notable antibacterial activity against enteropathogens. Thus, the lentil-based Gahana bori is not only improved the appearance or presentation of food product but also the same have a good health beneficial potentiality

Structure-based assortment of herbal analogues against spike protein to restrict COVID-19 entry through hACE2 receptor : an in-silico approach

On-going global pandemic COVID-19 has spread all over the world and has led to more than 1.97 million deaths till date. Natural compounds may be useful to protecting health in this perilous condition. Mechanism of shuttle entry of SARS-COV-2 virus is by interaction with viral spike protein with human angiotensin-converting enzyme-2 (ACE-2) receptor. To explore potential natural therapeutics, 213 important phytochemi-cals of nine medicinal plants Aconitum heterophyllum, Cassia angustifolia, Cymbopogon flexuosus, Cymbopogon martinii, Nux vomica, Phyllanthus urinaria, Swertia chirayita, Justicia adhatoda, Vetiveria zizanioides were selected for in-silico molecular docking against the spike protein of SARS-COV-2 and compared with recently prescribed drug chloroquine, ramdesivir, lopinavir and hydroxychloroquine. Results revealed that rhamnocitrin of P. urinaria, 1,5-dihydroxy-3,8-dimethoxyxanthone of S. chirayita and laevojunenol of V. zizanioides potentially binds with the receptor binding site of SARS-COV-2 spike glycoprotein and more robustly destabilized the RBD-ACE-2 binding over chloroquine, ramdesivir, lopinavir and hydroxychloroquine. It was also found that laevojunenol, rhamnocitrin, and 1,5-dihydroxy-3,8-dimethoxyxanthone qualified the criteria for drug-likeness as per Lipinski rule. After attachment of the selected phytochemical with the spike protein the affinity of the later towards ACE-2 was minimized and the effect of 1,5-dihydroxy-3,8-dimethoxyxanthone and laevojunenol was superior. Hence, rhamnocitrin of P. urinaria, 1,5-dihydroxy-3,8-dimethoxyxanthone of S. chirayita and laevojunenol of V. zizanioides, are potential therapeutic molecules for SARS-COV-2, which upon binding with spike protein changes the affinity of the spike towards ACE-2 and therefore restrict the entry of the virus into a human cell. Subsequent clinical validation is needed to confirm these phytochemicals as drugs to combat COVID-19

Ethnic Preparation of Haria, a Rice-Based Fermented Beverage, in the Province of Lateritic West Bengal, India

Haria is a rice-based fermented beverage that is popular among tribal and low income people in lateritic West Bengal and East-Central India. The principal ingredient of this beverage is low grade boiled rice (Oryza sativa L.), which is mixed with a traditional starter, called bakhar, and fermented within a heat-sterilized earthen pot for 3-4 days. The main aim of this study was to investigate the ethnobotanical importance and traditional process of haria preparation. The method adopted for this study was based on interactive questionnaires and laboratory experiments. It was found that the pH decreased during the course of fermentation with increased titratable acidity of 1.42%. The alcohol content was 2-3% (v/v) in the consumable beverages. This documentation will be useful for further exploitation of haria as a health drink

Analgesic Activity, Chemical Profiling and Computational Study on Chrysopogon aciculatus

Present study was undertaken to evaluate the analgesic activity of the ethanol extract of Chrysopogon aciculatus. In addition to bioassays in mice, chemical profiling was done by LC-MS and GC-MS to identify phytochemicals, which were further docked on the catalytic site of COX-2 enzymes with a view to suggest the possible role of such phytoconstituents in the observed analgesic activity. Analgesic activity of C. aciculatus was evaluated by acetic acid induced writhing reflex method and hot plate technique. Phytochemical profiling was conducted using liquid chromatography mass spectrometry (LC-MS) and gas chromatography mass spectrometry (GC-MS). In docking studies, homology model of human COX-2 enzyme was prepared using Easy Modeler 4.0 and the identified phytoconstituents were docked using Autodock Vina. Preliminary acute toxicity test of the ethanol extract of C. aciculatus showed no sign of mortality at the highest dose of 4,000 mg/kg. The whole plant extract significantly (p < 0.05) inhibited acetic acid induced writhing in mice at the doses of 500 and 750 mg/kg. The extract delayed the response time in hot plate test in a dose dependent manner. LC-MS analysis of the plant extract revealed the presence of aciculatin, nudaphantin and 5α,8α-epidioxyergosta-6,22-diene-3β-ol. Three compounds namely citronellylisobutyrate; 2,4-dihydroxy-7-methoxy-(2H)-1,4-benzoxazin-3(4H)-one and nudaphantin were identified in the n-hexane fraction by GC-MS. Among these compounds, six were found to be interacting with the binding site for arachidonic acid in COX-2 enzyme. Present study strongly supports the traditional use of C. aciculatus in the management of pain. In conclusion, compounds (tricin, campesterol, gamma oryzanol, and citronellyl isobutyrate) showing promising binding affinity in docking studies, along with previously known anti-inflammatory compound aciculatin can be held responsible for the observed activity

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark forward-backward production asymmetry and the anomalous chromoelectric and chromomagnetic moments in pp collisions at √s = 13 TeV

Abstract The parton-level top quark (t) forward-backward asymmetry and the anomalous chromoelectric (d̂ t) and chromomagnetic (μ̂ t) moments have been measured using LHC pp collisions at a center-of-mass energy of 13 TeV, collected in the CMS detector in a data sample corresponding to an integrated luminosity of 35.9 fb−1. The linearized variable AFB(1) is used to approximate the asymmetry. Candidate t t ¯ events decaying to a muon or electron and jets in final states with low and high Lorentz boosts are selected and reconstructed using a fit of the kinematic distributions of the decay products to those expected for t t ¯ final states. The values found for the parameters are AFB(1)=0.048−0.087+0.095(stat)−0.029+0.020(syst),μ̂t=−0.024−0.009+0.013(stat)−0.011+0.016(syst), and a limit is placed on the magnitude of | d̂ t| &lt; 0.03 at 95% confidence level. [Figure not available: see fulltext.

MUSiC : a model-unspecific search for new physics in proton-proton collisions at root s=13TeV

Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.Peer reviewe