Can site-specific nutrient management improve the productivity and resource use efficiency of climate-resilient finger millet in calcareous soils in India?

Finger millet, an important 'Nutri-Cereal' and climate-resilient crop, is cultivated as a marginal crop in calcareous soils. Calcareous soils have low organic carbon content, high pH levels, and poor structure. Such a situation leads to poor productivity of the crop. Site-specific nutrient management (SSNM), which focuses on supplying optimum nutrients when a crop is needed, can ensure optimum production and improve the nutrient and energy use efficiency of crops. Moreover, developing an appropriate SSNM technique for this crop could offer new insights into nutrient management practices, particularly for calcareous soils. A field experiment was conducted during the rainy seasons of 2020 and 2021 in calcareous soil at Dr. Rajendra Prasad Central Agricultural University, Pusa, India. The experiment consisted of 8 treatments, viz. control, nitrogen (N)/phosphorus (P)/potassium (K)-omission, 75 %, 100 %, and 125 % recommended fertilizer dose (RFD), and 100 % recommended P and K + 30 kg ha-1 N as basal + rest N as per GreenSeeker readings. From this study, it was observed that the GreenSeeker-based SSNM resulted in the maximum grain yield (2873 kg ha-1), net output energy (96.3 GJ ha-1), and agronomic efficiency of N (30.6 kg kg-1), P (68.9 kg kg-1), and K (68.9 kg kg-1). The application of 125 % RFD resulted in ∼7 % lower yield than that under GreenSeeker-based nutrient management. Approximately 12 % greater energy use efficiency and 21-36 % greater nutrient use efficiency were recorded under GreenSeeker-based nutrient management than under 125 % RDF. The indigenous supplies of N, P, and K were found to be 14.31, 3.00, and 18.51 kg ha-1, respectively. Thus, 100 % of the recommended P and K + 30 kg ha-1 N as basal + rest N according to GreenSeeker readings can improve the yield, nutrient use efficiency, and energy balance of finger millet in calcareous soils.

The diagnostic performance of mean neutrophil volume in neonatal sepsis: A systematic review and meta-analysis.

BACKGROUND: There is a need for reliable diagnostic tests for early identification of sepsis to prevent neonatal mortality and antibiotic misuse. During sepsis, many immature neutrophils came into the bloodstream, altering the mean neutrophil volume (MNV) shown in the previous studies. OBJECTIVES: To summarize the diagnostic performance of mean neutrophil volume (MNV) in neonatal sepsis from the published literature. METHOD: Databases such as PubMed, Scopus, and Web of Science were searched from January 1990 to April 2023 for studies reporting MNV as a diagnostic test in neonatal sepsis. The pooled sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) of the summary receiver operating characteristic (SROC) curve of MNV were estimated with reference blood culture-positive sepsis and clinical sepsis for meta-analysis. RESULT: The diagnostic performance of MNV was analyzed in 1685 neonates, including 829 septic and 856 non-septic neonates, from six prospective studies. The pooled sensitivity and specificity of MNV were 0.87 and 0.75, respectively, for neonatal sepsis; the DOR was 20.01 (95% CI: 5.90-67.82); and the AUC of the SROC for MNV was 0.81 (95% CI: 0.69-0.88). Higgins I2 was 92.1% (95% CI: 85.5%-95.7%). The diagnostic performance of MNV was better during sub-group analysis of studies reporting culture-positive sepsis (DOR 85.61). CONCLUSION: The diagnostic performance of MNV is moderate for neonatal sepsis. As the evidence originated from a small number of studies with marked heterogeneity, further large-scale diagnostic accuracy studies are recommended to resolve heterogeneity in the future.

Submerged cultivation and phytochemical analysis of medicinal mushrooms (Trametes sp.).

Mushrooms are widely available around the world and have various nutritional as well as therapeutic values. Many Asian cultures believe that medicinal mushrooms can prolong life and improve vitality. This study aims to characterize the phytochemical and polysaccharide content, mainly ß-glucan content, of mycelial biomass and fruiting bodies collected from the Himalayan region, particularly Uttarakhand. Through molecular analysis of the LSU F/R-rDNA fragment sequence and phylogenetic analysis, the strain was identified as Trametes sp. We performed screening of phytochemicals and polysaccharides in mushroom and biomass extracts using high-performance liquid chromatography (HPLC) and a PC-based UV-Vis spectrophotometer. The macrofungal biomass was found to be high in saponin, anthraquinone, total phenolic, flavonoid, and ß-glucan content. In biomass extract, we observed a high level of saponin (70.6µg/mL), anthraquinone (14.5µg/mL), total phenolic (12.45 µg/mL), and flavonoid (9.500 µg/mL) content. Furthermore, we examined the contents of alkaloids, tannins, terpenoids, and sterols in the biomass and mushroom extracts; the concentration of these compounds in the ethanol extract tested was minimal. We also looked for antioxidant activity, which is determined in terms of the IC50 value. Trametes sp. mushroom extract exhibits higher DPPH radical scavenging activity (62.9% at 0.5 mg/mL) than biomass extract (59.19% at 0.5 mg/mL). We also analyzed ß-glucan in Trametes sp. from both mushroom and biomass extracts. The biomass extract showed a higher ß-glucan content of 1.713 mg/mL than the mushroom extract, which is 1.671 mg/mL. Furthermore, ß-glucan analysis was confirmed by the Megazyme ß-glucan assay kit from both biomass and mushroom extract of Trametes sp. ß-glucans have a promising future in cancer treatment as adjuncts to conventional medicines. Producing pure ß-glucans for the market is challenging because 90-95% of ß glucan sold nowadays is thought to be manipulated or counterfeit. The present study supports the recommendation of Trametes sp. as rich in ß-glucan, protein, phytochemicals, and antioxidant activities that help individuals with cancer, diabetes, obesity, etc.

Index for refining soil health assessment through multivariate approach under diverse agro-climatic zones in the Indo-Gangetic basin of Bihar.

A fundamental necessity in advancing sustainable crop production lies in the establishment of a reliable technique for assessing soil health. Soil health assessment is a challenge considering multiple interactions among dynamic indicators within various management strategies and agroecological contexts. Hence a study was conducted to determine the soil health variables, quantify the soil health index (SHI), and validate them with the productivity of rice (Oryza sativa L.)-wheat (Triticum aestivum L.) system for the Indo Gangetic basin of Bihar, India, under four contrasting agro-climatic zones (ACZ-I, II, IIIA & IIIB). For this study, 100 soil samples (0-15 cm) from each ACZ with a total of 400 soil samples were obtained for analyzing 20 soil health variables (soil physical, chemical, and biological properties). To identify SHI and important soil health variables, principal component analysis (PCA) was employed. Apart from specific variables, soil pH, soil organic carbon (SOC), available Zn and available water capacity (AWC) were identified as common indicators for the four ACZs. Results revealed that under the rice-wheat cropping system, ACZ-IIIB soils had a higher SHI (0.19-0.70) than other ACZs. SHI of ACZ-IIIB was significantly influenced by SOC (19.32 %), available P (10.52 %), clay (10.43 %), pH (10.80 %), and soil respiration (9.8 %). The strong relationship between SHI and system productivity of the rice-wheat (R2 = 0.79) system indicates that the selected soil health variables are representative of good soil health. It is concluded that ACZ-specific SHIs are a promising strategy for evaluating and monitoring soil health to achieve the United Nations' Sustainable Development Goal of 'zero hunger' by 2030.

Transition metal catalysed cascade C-C and C-O bond forming events of alkynes.

The past few decades have witnessed the emergence of domino reactions as a powerful tool for the multi-functionalization of alkynes for the rapid and smooth construction of complex molecular architectures. In this context, employing transition metal catalysis, vicinal/geminal cascade functionalization of alkynes involving C-C and C-O bond-formation reactions, has become a preferred strategy for the synthesis of oxygenated motifs. Despite this significant progress, reviews documenting such strategies are either metal/functional group-centric or target-oriented, thus hampering further developments. Therefore, in this review, different conceptual approaches based on C-C and C-O bond-forming events of alkynes such as carboxygenation (C-C and CO bond formation), carboalkoxylation (C-C and C-OR bond formation), and carboacetoxylation (C-C and C-OAc bond formations) are discussed, and examples from the literature from the last two decades are presented. Further, we have presented detailed insights into the mechanism of different transformations.

Docking and molecular dynamic simulations of Mithramycin-A and Tolfenamic acid against Sp1 and survivin.

Therapeutic targeting of Sp1 transcription factor and survivin, are studied in various cancers due to their consistent overexpression. These markers result in poorer cancer prognoses and their downregulation has been investigated as an effective treatment approach. Mithramycin-A and Tolfenamic acid are two drugs with innate anti-cancer properties and are suggested to be able to target Sp1 through GC/GT DNA binding interference, however in-depth binding and mechanistic studies are lacking. Through docking analysis, we investigated Mithramycin-A and Tolfenamic acid in terms of their specific binding interactions with Sp1 and survivin. Through further molecular dynamics simulations including Root Mean Square (RMS) Fluctuation and RMS Deviation, rGYr, and H-bond analysis, we identified critical residues involved in drug interactions with each protein in question. We show Mithramycin-A as the superior binding candidate to each protein and found that it exhibited stronger binding with Sp1, and then survivin. Subsequent molecular dynamics simulations followed the same trend as initial binding energy calculations and showed crucial amino acids involved in each Mithramycin-A-protein complex. Our findings warrant further investigation into Mithramycin-A and its specific interaction with Sp1 and their downstream targets giving a better understanding of Mithramycin-A and its potential as an effective cancer treatment.

Comprehensive analytics for virus-cell and cell-cell multinucleation system.

Cell-fusion mediated generation of multinucleated syncytia represent critical feature during viral infection and in development. Efficiency of syncytia formation is usually illustrated as fusion efficiency under given condition by quantifying total number of nuclei in syncytia normalized to total number of nuclei (both within syncytia and unfused cell nuclei) in unit field of view. However heterogeneity in multinucleated syncytia sizes poses challenge in quantification of cell-fusion multinucleation under diverse conditions. Taking in-vitro SARS-CoV-2 spike-protein variants mediated virus-cell fusion model and placenta trophoblast syncytialization as cell-cell fusion model; herein we emphasize wide application of simple unbiased detailed measure of virus-cell and cell-cell multinucleation using experiential cumulative distribution function (CDF) and fusion number events (FNE) approaches illustrating comprehensive metrics for syncytia interpretation.

Three-Dimensional-Printed Composite Structures: The Effect of LSCF Slurry Solid Loading, Binder, and Direct-Write Process Parameters.

In this research, a direct-write 3D-printing method was utilized for the fabrication of inter-digitized solid oxide fuel cells (SOFCs) using ceramic materials. The cathode electrode was fabricated using the LSCF (La0.6Sr0.2Fe0.8Co0.2O3-δ) slurry loading and the Polyvinyl butyral (PVB) binder. The rheological parameters of slurries with varying LSCF slurry loading and PVB binder concentration were evaluated to determine their effect on the cathode trace performance in terms of microstructure, size, and resistance. Additionally, the dimensional shrinkage of LSCF lines after sintering was investigated to realize their influence on cathode line width and height. Moreover, the effect of the direct-write process parameters such as pressure, distance between the nozzle and substrate, and speed on the cathode line dimensions and resistance was evaluated. LSCF slurry with 50% solid loading, 12% binder, and 0.2% dispersant concentration was determined to be the optimal value for the fabrication of SOFCs using the direct-write method. The direct-write process parameters, in addition to the binder and LSCF slurry concentration ratios, had a considerable impact on the microstructure of cathode lines. Based on ANOVA findings, pressure and distance had significant effects on the cathode electrode resistance. An increase in the distance between the nozzle and substrate, speed, or extrusion pressure of the direct writing process increased the resistance of the cathode lines. These findings add to the ongoing effort to refine SOFC fabrication techniques, opening the avenues for advanced performance and efficiency of SOFCs in energy applications.

Exploring Recent Developments in Graphene-Based Cathode Materials for Fuel Cell Applications: A Comprehensive Overview.

Fuel cells are at the forefront of modern energy research, with graphene-based materials emerging as key enhancers of performance. This overview explores recent advancements in graphene-based cathode materials for fuel cell applications. Graphene's large surface area and excellent electrical conductivity and mechanical strength make it ideal for use in different solid oxide fuel cells (SOFCs) as well as proton exchange membrane fuel cells (PEMFCs). This review covers various forms of graphene, including graphene oxide (GO), reduced graphene oxide (rGO), and doped graphene, highlighting their unique attributes and catalytic contributions. It also examines the effects of structural modifications, doping, and functional group integrations on the electrochemical properties and durability of graphene-based cathodes. Additionally, we address the thermal stability challenges of graphene derivatives at high SOFC operating temperatures, suggesting potential solutions and future research directions. This analysis underscores the transformative potential of graphene-based materials in advancing fuel cell technology, aiming for more efficient, cost-effective, and durable energy systems.

Promising Combinatorial Therapeutic Strategies against Non-Small Cell Lung Cancer.

Non-small cell lung cancer (NSCLC) presents a complex and diverse disease, exhibiting variations at individuals' cellular and histological levels. This complexity gives rise to different subtypes and genetic mutations, posing challenges for accurate diagnosis and effective treatment. Nevertheless, continuous progress in medical research and therapies is continually shaping the landscape of NSCLC diagnosis and management. The treatment of NSCLC has undergone significant advancements in recent years, especially with the emergence of targeted therapies that have shown remarkable efficacy in patients with actionable mutations. This has ushered in the era of personalized medicine in NSCLC treatment, with improvements in molecular and immunohistochemical techniques contributing to enhanced progression-free survival. This review focuses on the latest progress, challenges, and future directions in developing targeted therapies for NSCLC, including tyrosine kinase inhibitors (TKIs), DNA-damaging agents, immunotherapy regimens, natural drug therapy, and nanobodies. Furthermore, recent randomized studies have demonstrated enhanced overall survival in patients receiving different targeted and natural drug therapies.

Dataset on double mutation in PGIP of Glycine max improves defense to PG of Sclerotinia sclerotiorum.

The cell wall of the Glycine max altered by the polygalacturonases (PGs) secreted by the fungus Sclerotinia sclerotiorum, causes disease and quality losses. In soybeans, a resistance protein called polygalacturonases-inhibiting proteins (PGIPs) binds to the PG to block fungal infection. The active site residues of PGIP3, VAL170 and GLN242 are mutated naturally by various amino acids in different types of PGIPs. Therefore, the mutation of VAL170 to GLY is ineffective but the GLN242 amino acid mutation by LYS significantly alters the structure and is crucial for interacting with the PG protein. Docking and Molecular Dynamics simulation provide a comprehensive evaluation of the interactions between gmPGIP and ssPG. By elucidating the structural basis of the interaction between gmPGIP and ssPG, this investigation lays a foundation for the development of targeted strategies in-order to enhance soybean resistance against Sclerotinia sclerotiorum. By leveraging this knowledge, researchers can potentially engineer soybean varieties with improved resistance to the fungus, thereby reducing disease incidence and improving crop yields.

The higher dietary inflammation is associated with a higher burden of multimorbidity of cardio-metabolic and mental health disorders in an urbanizing community of southern India: A cross-sectional analysis for the APCAPS cohort.

Background & aims: Habitual dietary pattern has been shown to be a major modulator of systemic inflammation and is considered a modifiable risk factor for cardio-metabolic diseases (CMDs) and mental health disorders. We examined whether dietary-inflammation is associated with the multimorbidity of CMDs and mental health disorders in urbanizing-villages in southern India. We hypothesized that the participants with higher dietary-inflammation would have a higher burden of multimorbidity. Materials & methods: We conducted a cross-sectional analysis of 5984 adults (53% male) participating in the Andhra Pradesh Children and Parents' Study. We assessed dietary-inflammation using dietary inflammatory index (DII®) based on intake of 27 micro- and macro-nutrients which were measured using a validated food-frequency-questionnaires. The CMDs and mental health disorders were assessed using standardized clinical procedures and validated questionnaires. 'Multimorbidity' was defined as a co-existence of one or more CMDs (hypertension, diabetes, myocardial infarction, heart failure, angina and stroke) and one or more mental health disorders (depression and anxiety). The association of multimorbidity with dietary-inflammation was examined using robust Poisson regression. Results: The prevalence of multimorbidity was 3.5% and ∼75% of participants were consuming a pro-inflammatory diet (DII >0.0). As compared to the 1st DII-quartile (least dietary-inflammatory group), the adjusted prevalence ratio (95% confidence interval) for the presence of multimorbidity was 1.46(0.87, 2.46) for 2nd, 1.75(1.05, 2.89) for 3rd, and 1.77(1.06, 2.96) for 4th DII-quartile (p-trend = 0.021). There was no evidence of an interaction between DII and sex on multimorbidity. Conclusions: Dietary-inflammation had a positive linear association with the multimorbidity, which suggest that even modest reduction in dietary-inflammation may reduce the multimorbidity burden.

Validation of the Indian (Hindi) version of the life-space assessment scale among community-dwelling older adults: a multicentric cross-sectional study.

BACKGROUND: The Life-Space Assessment (LSA) is an instrument that measures mobility in older adults as they reach different areas, defined as life-spaces extending from home to beyond towns or regions. The purpose of the study was to develop the Hindi version of the LSA (LSA- H) and to investigate the validity and reliability of the Hindi version as well as its cultural adaptation. METHODS: A cross-sectional study of two hundred forty-five older adults participated in the study from four different study practice areas. Following forward backwards translation, the LSA-H was developed, and the scores were correlated with those of the Activities-Specific Balance Confidence Scale Hindi (ABC- H), the Physical Health Subscale of the WHO-BREF Questionnaire and the Geriatric Depression Scale: Short Form Hindi (GDS-SFH) to test the criterion and concurrent validity. RESULTS: The mean score and standard deviation of the LSA-H questionnaire were 56.53 ± 35.99, those of the Physical Health Subscale of the WHO-BREF instrument were 18.54 ± 7.87, those of the GDS-SFH questionnaire were 6.95 ± 4.21 and those of the ABC- H questionnaire were 54.40 ± 28.96. The Pearson correlation coefficient (r) between the LSA-H score and ABC-H score was 0.707 (p value < 0.0001), that between the LSA-H score and the Physical Health Subscale of the WHO-BREF was 0.766 (p value < 0.0001), and that between the LSA-H score and GDS-SFG score was - 0.674 (p value < 0.0001). CONCLUSION: This study demonstrated that the Hindi version of the LSA is a valid and reliable instrument for assessing living space among older adults in the Hindi language in an Indian population. Furthermore, the LSA-H was significantly correlated with other health assessment tools in terms of functional mobility, general health status and mental well-being.

Self-Emulsifying Drug Delivery Systems: Concept to Applications, Regulatory Issues, Recent Patents, Current Challenges and Future Directions.

Self-emulsifying drug delivery systems (SEDDS) can increase the solubility and bioavailability of poorly soluble drugs. The inability of 35% to 40% of new pharmaceuticals to dissolve in water presents a serious challenge for the pharmaceutical industry. As a result, there must be dosage proportionality, considerable intra- and inter-subject variability, poor solubility, and limited lung bioavailability. As a result, it is critical that drugs intended for oral administration be highly soluble. This can be improved through a variety of means, including salt generation and the facilitation of solid and complicated dispersion. Surfactants, lubricants, and cosolvents may occasionally be found in SEDDS or isotropic blends. Lipophilic drugs, whose absorption is limited by their dissolution rate, have been used to demonstrate the effectiveness of various formulations and techniques. These particles can form microemulsions and suitable oil-inwater emulsions with minimal agitation and dilution by the water phase as they pass through the gastrointestinal tract. This study summarises the numerous advances, biopharmaceutical components, variations, production techniques, characterisation approaches, limitations, and opportunities for SEDDS. With this context in mind, this review compiles a current account of biopharmaceutical advancements, such as the application of quality by design (QbD) methodologies to optimise drug formulations in different excipients with controllable ratios, the presence of regulatory roadblocks to progress, and the future consequences of SEDDS, encompassing composition, evaluation, diverse dosage forms, and innovative techniques for in vitro converting liquid SEDDS to solid forms.

Parapharyngeal Nodal Metastasis in Papillary Thyroid Carcinoma: Catching Early.

Background: Metastasis to parapharyngeal space in papillary carcinoma of the thyroid is rare and often missed in routine clinical and radiological investigations. Although contrast CT /MRI can be done to locate the parapharyngeal lesion, the diagnosis of metastasis mostly deepened upon aspiration cytology, which is a challenge in difficult anatomical locations. Here, we have emphasized the management dilemma of parapharyngeal metastasis in papillary carcinoma of the thyroid. Case Report: A 30-year-old female presented with multiple right-side neck swelling for two months. Ultrasonography of right thyroid showed TIRAD V and left thyroid showed TIRAD II. Aspiration cytology of the right thyroid showed Bethesda III and aspiration cytology revealed thyroid follicles. Due to the diagnostic ambiguity, contrast-enhanced CT scan was advised. It revealed a hypervascular lymph node in the parapharyngeal space besides multiple right cervical lymph nodes and later changed the treatment plan. Conclusion: - Metastasis to parapharyngeal space in Papillary carcinoma of the thyroid is rare and often missed on routine evaluation. Contrast-enhanced CT/MRI can be added as a primary investigation in challenging cases of suspicious malignancy of the thyroid.

In vitro profiling and molecular dynamics simulation studies of berberine loaded MCM-41 mesoporous silica nanoparticles to prevent neuronal apoptosis.

Neuronal loss in Alzheimer's disease has been reported to display features of apoptosis, pyroptosis (programmed necrosis), or necroptosis. This study thoroughly examines the production and characterization of MCM-41 based berberine (BBR)-loaded porous silica nanoparticles (MSNs) by a modified Stöber method, focusing on their possible role in inhibiting the apoptotic process. Particle size, polydispersity index, morphology, drug loading, zeta potential, entrapment efficiency, and drug release were examined. The formulation was analyzed using various spectroscopic techniques. The surface area was computed by the Brunauer-Emmett-Teller plot. Computational models were developed for molecular dynamics simulation studies. A small PDI value indicated an even distribution of particles at nanoscale sizes (80-100 nm). Results from XRD and SEAD experiments confirmed the amorphous nature of BBR in nanoparticles. Nanoparticles had high entrapment (75.21 ± 1.55%) and drug loading (28.16 ± 2.5%) efficiencies. A negative zeta potential value (-36.861.1 mV) indicates the presence of silanol groups on the surface of silica. AFM findings reveal bumps due to the surface drug that contributed to the improved roughness of the MSNs-BBR surface. Thermal gravimetric analysis confirmed the presence of BBR in MSNs. Drug release was controlled by simple diffusion or quasi-diffusion. Molecular dynamics simulations confirmed the existence of diffused drug molecules. Cellular studies using SH-SY-5Y cells revealed dose-dependent growth inhibition. Fragmented cell nuclei and nuclear apoptotic bodies in DAPI-stained cells exposed to nanoparticles showed an increase in apoptotic cells. Flow cytometry analysis demonstrated a lower red-to-green ratio in SH-SY-5Y cells treated with nanoparticles. This suggests improved mitochondrial health, cellular viability restoration, and prevention of the apoptotic process. This study provides essential data on the synthesis and potential of MSNs loaded with BBR, which may serve as a viable therapeutic intervention for conditions associated with apoptosis.

Machine learning-empowered sleep staging classification using multi-modality signals.

The goal is to enhance an automated sleep staging system's performance by leveraging the diverse signals captured through multi-modal polysomnography recordings. Three modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG), were considered to obtain the optimal fusions of the PSG signals, where 63 features were extracted. These include frequency-based, time-based, statistical-based, entropy-based, and non-linear-based features. We adopted the ReliefF (ReF) feature selection algorithms to find the suitable parts for each signal and superposition of PSG signals. Twelve top features were selected while correlated with the extracted feature sets' sleep stages. The selected features were fed into the AdaBoost with Random Forest (ADB + RF) classifier to validate the chosen segments and classify the sleep stages. This study's experiments were investigated by obtaining two testing schemes: epoch-wise testing and subject-wise testing. The suggested research was conducted using three publicly available datasets: ISRUC-Sleep subgroup1 (ISRUC-SG1), sleep-EDF(S-EDF), Physio bank CAP sleep database (PB-CAPSDB), and S-EDF-78 respectively. This work demonstrated that the proposed fusion strategy overestimates the common individual usage of PSG signals.

Isolation, chemical characterization, antimicrobial activity, and molecular docking studies of 2,6-dimethoxy benzoquinone isolated from medicinal plant Flacourtia jangomas.

In the present investigation one compound, 2,6-dimethoxy benzoquinone (FJL-1), was isolated from the dichloromethane (DCM) fraction of the organic leaf extract of Flacourtia Jangomas for the first time. The compound structure was elucidated using extensive spectral analysis, including 1H, and 13C NMR. Furthermore, the DPPH and ABTS methods were used to evaluate the antioxidant activity of the organic extract, its fractions, and the isolated compound FJL-1. Antioxidant activity of the petroleum, ether, DCM, and methanol fractions of the organic extract and the isolated compound of F. Jangomas revealed moderate to strong radical scavenging ability. Additionally, the antimicrobial activity of FJL-1 against Staphylococcus aureus (MTCC 737 and MTCC 96 strains) was observed in an inhibition zone size of 21.6 ± 0.6 to 21.7 ± 0.58 mm showing potential inhibitory activity. The isolated compound FJL-1 shows excellent binding with the 2W9S proteins in terms of docking score compared with the drug Trimethoprim, which also exhibited similar types of interaction and potency against S. aureus. The leaves of F. jangomas can be considered a great source for the identification of numerous important phytoconstituents with potential uses in nutrition, aromatherapy, and the pharmaceutical sector. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-024-04002-w.

Electrostatic interactions mediated defibrillation of ß-lactoglobulin fibrils using Keggin Polyoxometalates.

The whey protein ß-lactoglobulin (ßLG) forms fibrils similar to the amyloid fibrils in the neurodegenerative diseases due to its higher predisposition of ß-sheets. This study shed light on the understanding different inorganic Keggin polyoxometalates (POMs) interaction with the protein ßLG fibrils. POMs such as Phosphomolybdic acid (PMA), silicomolybdic acid (SMA), tungstosilicic acid (TSA), and phosphotungstic acid (PTA) were used due to their inherent higher anionic charges. The interaction studies were monitored with fluorescence spectra and Thioflavin T assay for both the ßLG monomers and the fibrils initially to elucidate the binding ability of the POMs. The binding of POMs and ßLG is also demonstrated by molecular docking studies. Zeta potential studies showed the electrostatic mediated higher interactions of the POMs with the protein fibrils. Isothermal titration calorimetry (ITC) studies showed that the molybdenum containing POMs have higher affinity to the protein fibrils than the tungsten. This study could help understanding formation of food grade protein fibrils which have profound importance in food industries.