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Background Wild edible mushrooms (WEM) are economically significant and used in traditional medicines worldwide. The region of Jammu and Kashmir (Western Himalayas) is enriched with the diversity of edible mushrooms, collected by the rural people for food and income generation. This is the first detailed study on diversity and ethno-medicinal uses of mushrooms from the State of Jammu and Kashmir. Methods Consecutive surveys were conducted to record ethnomycological diversity and socio-economic importance of wild edible mushrooms value chain in rural areas of Azad Jammu and Kashmir during 2015–2019. Ethnomycological data were collected with a semi-structured questionnaire having a set of questions on indigenous mycological knowledge and collection and retailing of wild edible mushrooms. A total of 923 informants from the study area provided the results identifying the gender, type of mushroom species, medicinal uses, and marketing of mushrooms. Diversity of mushrooms was studied by using quadrat and transect methods. Principal component analysis (PCA) and detrended correspondence analysis (DCA) were also applied to the dataset to analyse the relationship between species distribution, the underlying environmental factors, and habitat types. PCA identified the major species-specific to the sites and put them close to the sites of distribution. Results A total of 131 mushroom species were collected and identified during 2015–2019 from the study area. Ninety-seven species of mushrooms were reported new to the State of Azad Jammu and Kashmir. The dominant mushroom family was Russulaceae with 23 species followed by Agaricaceae, 16 species. Major mushroom species identified and grouped by the PCA were Coprinus comatus, Lactarius sanguifluus, Amanita fulva, Armillaria gallica, Lycoperdon perlatum, Lycoperdon pyriforme, and Russula creminicolor. Sparassis crispa, Pleurotus sp, and Laetiporus sulphureus were recorded most edible and medicinally significant fungi. Morels were also expensive and medicinally important among all harvested macro-fungal species. These were reported to use against common ailments and various health problems. Conclusions Collection and retailing of WEM contribute to improving the socio-economic status, providing alternative employment and food security to rural people of the area. These mushrooms are used as a source of food and traditional medicines among the rural informants and could be used as a potential source of antibacterial and anticancer drugs in the future.

This work presents the development and validation of a simple, rapid, and cost-effective spectrophotometric method for quantitative analysis of uric acid in biological samples. The method relies upon uric acid-led reduction of Fe(III) to Fe(II) of sample/standard solutions which stoichiometrically engages ferrozine to form a magenta-colored complex. Different parameters including pH, metal and chelator concentrations, temperature, etc., were optimized for the maximum intensity and stability of the complex. The uric acid concentrations of synthetic/plasma solutions were determined by comparing the color intensity of Fe(ferrozine)32+ complex produced by test solution with the standard curve formed by known uric acid concentrations. The method was validated in accordance with ICH guidelines and subjected to human plasma analysis. The results obtained were compared with a reference (enzymatic) method which revealed that there was no significant difference between the two methods at 95% confidence level. The method is highly specific, precise, linear, accurate, and robust.

The theory of inertial manifolds (IM) is used to develop reduced-order models of turbulent combustion. In this approach, the dynamics of the system are tracked in a low-dimensional manifold determined in situ without invoking laminar flame structures or statistical assumptions about the underlying turbulent flow. The primary concept in approximate IM (AIM) is that slow dominant dynamical behavior of the system is confined to a low-dimension manifold, and fast dynamics respond to the dynamics on the IM instantaneously. Decomposition of slow/fast dynamics and formulation of an AIM is accomplished by only exploiting the governing equations. Direct numerical simulation (DNS) of initially non-premixed fuel–air mixtures developing in forced isotropic turbulence have been carried out to investigate the proposed model. Reaction rate parameters are varied to allow for varying levels of extinction and reignition. The AIM performance in capturing different flame behaviors is assessed both a priori and a posteriori. It is shown that AIM captures the dynamics of the flames including extinction and reignition. Moreover, AIM provides scalar dissipation rate, mixing time for reactive scalars, and closures for nonlinear terms without any additional modeling. The AIM formulation is found promising and provides a new approach to modeling turbulent combustion.

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