Content Values Research Articles

Performance analysis of capacitive soil moisture, temperature sensors and their applications at farmer's field.

This study aims to assess the effectiveness of PCB-based capacitive soil moisture sensors for local field conditions. The electrical scheme of designed sensors has been presented in this study. The PCB-based capacitive soil moisture sensors are calibrated using a linear equation developed between analog values of capacitive sensors and soil moisture content measured from the gravimetric method. The performance of the designed soil moisture sensors was assessed at five different locations at varying depths (i.e., 15cm, 30cm, and 45cm). The calibration results indicated a positive correlation between the soil moisture content and measurement frequency of the sensor for wheat crop, with R2 values of 0.72, 0.83, and 0.83 for 15cm, 30cm, and 45cm depths, respectively. Results reveal that 85% of the sensors accurately detected the patterns in soil moisture fluctuations during the cropping period. The designed capacitive sensors demonstrated a maximum relative error of 5.87% for 45cm depth. However, the relative error remained below 5% for the 15cm and 30cm soil depths. For the sugarcane crop, R2 values vary from 0.66 to 0.82, with the highest relative error of 5.22% at a 15cm depth. These sensors offer a highly cost-effective solution for farmers, with the entire wireless sensor network system including one sensor node, three soil moisture sensors, and one soil temperature sensor, which is priced at approximately $150, making it a practical and affordable option for widespread adoption.

Effects of dietary protein levels on growth performance, hemato–biochemical, and immune parameters in ship sturgeon (Acipenser nudiventris) juveniles

A feeding trial was conducted to detect the optimal dietary protein requirement for ship sturgeon (Acipenser nudiventris) juveniles. Four isoenergetic diets were formulated to contain different protein levels i.e. 40 % (P40), 45 % (P45), 50 % (P50), and 55 % (P55). A total of 180 ship sturgeon juveniles, with an average weight of 63.5 ± 1.3 g, were randomly distributed into triplicated groups (15 fish per tank) and fed on the experimental diets for 10 weeks. Significant (P < 0.05) increases in growth indices and feed intake were noted with increasing dietary protein levels up to 50 % after which (P55) fish growth was declined. The highest values of protein and lowest value of lipids and ash contents were noted in the whole-body of fish fed on the P50 diet. The levels of red blood cells, hemoglobin, and hematocrit were markedly influenced (P < 0.05) by varying dietary protein concentrations, and the most elevated values were identified in the P50 treatment. Linear increases were observed in alanine aminotransferase and alkaline phosphate levels; while quadratic increases were observed in aspartate aminotransferase activities due to the increase in dietary protein levels. Quadratic increases in total protein (TP), total immunoglobulin (total Ig), and lysozyme (LYZ) were observed due to feeding the fish on higher protein levels. The highest level of TP was significantly (P < 0.05) found in P50 and P55 with no significant (P > 0.05) difference between them. Levels of total Ig and LYZ were significantly (P > 0.05) highest in the P50 treatment. Based on the regression fitting curves of growth indices, the optimum dietary protein level for ship sturgeon (A. nutiventis) juveniles is found to be 46.5 % – 50 %. Data AvailabilityAll data of this study are included in this article.

Modulatory effects of selenium nanoparticles against drought stress in some grapevine rootstock/scion combinations

BackgroundDrought is a significant abiotic stress that adversely affects plant growth, development, and metabolic processes, thereby reducing plant yield, quality, and production, and threatening global food security. In recent years, nanotechnology has emerged as a promising strategy to overcome the existing environmental challenges and has been tested on some plant species. But it is still awaiting investigation for grapevines. The aim of this study was to investigate the potential of selenium nanoparticles (Se-NPs) to modulate some morphological, physiological, and biochemical parameters in grapevine saplings (5 BB/Crimson Seedless, 41 B/Crimson Seedless, and 1103 P/Crimson Seedless) under drought stress conditions.ResultsIn the study, Se-NP solutions at different concentrations (0 (control), 1, 10, and 100 ppm) were applied by the spray method to wet the entire green surface of grapevine saplings grown under well-irrigated (90–100% field capacity) and drought stress (40–50% field capacity) conditions. Our results showed that 10 ppm Se-NP concentration had the most positive effect, 1 ppm concentration showed limited effects, and 100 ppm concentration led to toxic effects, especially when combined with drought conditions. Se-NP applications at 10 ppm concentration improved the growth parameters (leaf number, leaf area, root fresh and dry weight, shoot fresh and dry weight, etc.) and increased the SPAD index of grapevine saplings under both normal and drought conditions. Additionally, 10 ppm Se-NP applications improved the relative water content (RWC) and stomatal conductance values, proportional to the increases in protein content. On the other hand, under drought conditions, the drought index, leaf temperature, membrane damage index, hydrogen peroxide (H2O2) content, and malondialdehyde (MDA) levels significantly decreased as a result of 10 ppm Se-NP applications, showing an opposite trend. Furthermore, the levels of proline, total phenolics, and antioxidant enzymes (CAT, SOD, and APX) that rose significantly due to drought stress were reduced by 10 ppm Se-NP applications, which also helped to lessen the oxidative stress caused by the drought.ConclusionThe study concluded that foliar application of Se-NPs at 10 ppm significantly enhances drought tolerance in grapevine saplings by improving antioxidant defense, proline and protein accumulation, and overall growth, while lower concentrations are less effective and higher concentrations can cause phytotoxicity. These findings indicate that Se-NPs applications may hold promise not only for grapevines but also for mitigating drought stress effects and improving productivity in other economically important fruit species, warranting further exploration across diverse crop systems.Graphical

Impacts of Solidago canadensis and Erigeron canadensis co‐invasion on soil microbial communities

AbstractInvasive plants disrupt the structure and function of ecosystems, causing a decline in their diversity. The coexistence of Solidago canadensis and Erigeron canadensis within shared habitats is a common phenomenon, and the frequent occurrence of co‐invasion has substantial implications for ecosystems. However, the effects of the co‐invasion of two plants on the soil ecosystem across varying degrees of invasion remain uninvestigated. Therefore, we investigated how the co‐invasion of S. canadensis and E. canadensis affects soil physiochemical properties and microorganisms across various degrees of invasion. The invaded regions exhibited significantly lower soil moisture content and pH values than those in the uninvaded areas (p &lt; .05). Additionally, co‐invasion resulted in higher soil organic matter (OM), total nitrogen (TN), total phosphorus (TP), and available phosphorus (AP) contents compared to single invasion by E. canadensis. Furthermore, the invaded regions exhibited a greater diversity of soil bacterial and fungal communities than the uninvaded regions. Under diverse invasion conditions, Actinobacteria and Ascomycota emerged as the predominant phyla of soil bacteria and fungi, respectively, leading to a shift in the soil microbial community structure. Moreover, homogenizing dispersal significantly influenced bacterial community succession, while ecological drift influenced the progression of fungal communities. Using structural equation modeling, this study established significant correlations between soil properties (pH, TN, and nitrate nitrogen) and bacterial interactions (diversity and community assembly) relative to microbial composition. This study revealed the influence of S. canadensis and E. canadensis co‐invasion on soil microbial communities, thereby contributing a theoretical framework delineating the impact of these two invasive plant species.

Thermal Characteristics of Malaysian Khaya Senegalensis Wood Fuel Pellets: Densification-Induced Changes at Different Feedstock Moisture Levels

This study investigates the thermal behaviour of Malaysian Khaya senegalensis wood energy pellets, examining the effects of densification at different feedstock moisture levels. Densified wood pellets are promising renewable energy sources, but the impact of densification on thermal characteristics, considering various moisture contents, is underexplored. The main objective is to quantify the thermal characteristics, which involved proximate analysis such as energy pellets’ ash content, fixed carbon, volatile matter, and calorific value. In this research, Malaysian Khaya senegalensis wood was converted into pellets through a densification process, spanning from of 4-20% feedstock moisture levels. The manufactured pellets were then subjected to various tests to characterize the thermal properties. Results reveal compelling insights on the relationships between densification, moisture content, and thermal properties. Densification significantly influenced thermal attributes, with effects tied to initial moisture content. Varying moisture levels led to distinct thermal responses, reflecting interactions between densification-induced changes in moisture and thermal responses. In this study, the best moisture content for ash content was found to be 16%, with 3.24% ash content, 16% moisture content with volatile matter of 85.24%, fixed carbon of 12% from 20% moisture content, and 16% moisture content with calorific value of 19.65 MJ/kg. These findings aid Khaya senegalensis wood pellet densification optimization for improved thermal performance. Understanding densification's impact on thermal behaviour under varying moisture conditions enhances pellet efficiency as sustainable energy sources. This research contributes to biomass pellet knowledge for renewable energy applications, advancing efficient and eco-friendly energy solutions.

An XAI Framework for Predicting Wind Turbine Power under Rainy Conditions Developed Using CFD Simulations

Renewable energy sources are essential to address climate change, fossil fuel depletion, and stringent environmental regulations in the subsequent decades. Horizontal-axis wind turbines (HAWTs) are particularly suited to meet this demand. However, their efficiency is affected by environmental factors because they operate in open areas. Adverse weather conditions like rain reduce their aerodynamic performance. This study investigates wind turbine power prediction under rainy conditions by integrating Blade Element Momentum (BEM) theory with explainable artificial intelligence (XAI). The S809 airfoil’s aerodynamic characteristics, used in NREL wind turbines, were analyzed using ANSYS FLUENT and symbolic regression under varying rain intensities. Simulations at a Reynolds number (Re) of 1 × 106 were performed using the Discrete Phase Model (DPM) and k–ω SST turbulence model, with liquid water content (LWC) values of 0 (dry), 10, 25, and 39 g/m3. The lift and drag coefficients were calculated at various angles of attack for all the conditions. The results indicated that rain led to reduced lift and increased drag. The innovative aspect of this research is the development of machine learning models predicting changes in the airfoil coefficients under rain with an R2 value of 0.97. The proposed XAI framework models rain effects at a lower computational time, enabling efficient wind farm performance assessment in rainy conditions compared to conventional CFD simulations. It was found that a heavy rain LWC of 39 g/m3 could reduce power output by 5.7% to 7%. These findings highlight the impact of rain on aerodynamic performance and the importance of advanced predictive models for optimizing renewable energy generation.

Total Soluble Solid Content and Nutritional Values of Sotol (Dasylirion leiophyllum) in the Chihuahuan Desert as Affected by Rainy Season and Topography

Total Soluble Solid Content and Nutritional Values of Sotol (Dasylirion leiophyllum) in the Chihuahuan Desert as Affected by Rainy Season and Topography

Organic carbon estimation in a regional soil Vis-NIR database supported by unsupervised learning and chemometrics techniques

The main assumptions of this study were: (i) that spectrally similar soils are similar according to SOC content; and (ii) that using spectral-based clustering might enhance the quality of the prediction model. A total of 939 sample's soil spectral data and SOC content were selected from the regional soil Vis-NIR database of Dalmatia, Croatia. The spectral dataset was partitioned into distinct clusters using unsupervised learning (UL) techniques: Principal Component Analysis (PCA) and Fuzzy C-means (FCM) method. The ellipsoidal shape of the soil spectral data set was best separated into three clusters, indicating a reasonable quality of clustering as seen by the Silhouette score of 0.57. The most important wavelengths for clustering were at the following ranges: 1980–2025 nm, 1900, 735–775, 490–530, 1200, 2100, 2200, 2130, 2400 485, and 440 nm. The identified clusters had mean SOC content values of 22.25, 13.36, and 17.29 g C kg−1. At a significance level of 0.05, these values exhibit a statistically significant difference. The FCM clustering enhanced PLSR model's precision as measured by the Prediction Interval (PI). However, it had little impact on accuracy for SOC predictions as assessed using the Residual prediction deviation (RPD). Our models are suitable for performing approximate or preliminary screenings for the prediction of SOC content. Therefore, we recommend using UL techniques and chemometrics combined with Vis-NIR spectroscopy to supplement conventional SOC content laboratory analyses.

Effect of Selenium Application on Quality, Phytochemical Composition and Mineral Content Properties of Red Currant (Ribes rubrum L.) and Jostaberry (Ribes ×nidigrolaria Bauer)

Selenium is an essential mineral for both humans and animals. Around 0.5–1 billion individuals globally suffer from selenium deficiency, which can result in a range of illnesses. Hence, the cultivation of selenium-enriched agricultural items can serve as a potent strategy to mitigate selenium deficiency. This study aimed to examine the effect of selenium on the quality, and phytochemical and mineral content of red currant (Red Lake) and jostaberry. The study was conducted in 2022 and 2023. Different doses of selenium (0, 4, and 8 mg⋅kg−1) were sprayed on the fruits three times with 10-days intervals starting from the first formation of the fruits after flowering. Upon completion of the study, various factors were assessed including cluster and berry properties, water-soluble dry matter content, pH levels, titratable acid content, ascorbic acid levels, antioxidant activity, and total phenolics content. The mineral composition of the fruit peel, pulp, and seed was also measured. In jostaberry, the highest values of cluster weight, cluster height, and 100-berry weight were obtained with 8 mg⋅kg−1 selenium application. As the selenium dosage increased, the levels of ascorbic acid, antioxidant activity, and total phenolic content increased, with the highest values determined to be 0.063 mg⋅mL−1, 63.23% DPPH, and 3752.22 mg⋅g−1, respectively, at 8 mg⋅kg−1. In the Red Lake variety, it has been determined that the 4 mg⋅kg−1 dose is effective in terms of cluster weight, cluster width, and cluster height attributes. The highest values for ascorbic acid, antioxidant activity, and total phenolic content were determined to be 0.029 mg⋅mL−1, 53.42% DPPH, and 3117.17 mg⋅g−1, respectively, at the 4 mg⋅kg−1 dose. The selenium content was found to be highest in the peel and pulp of jostaberry at 8 mg⋅kg−1, and in Red Lake, it was obtained at the 4 mg⋅kg−1 application. As a result, an 8 mg⋅kg−1 dose of selenium could be recommended for jostaberry, and a 4 mg⋅kg−1 dose could be recommended for Red Lake.

Seaweed Extract and Microbial Biostimulants Show Synergistic Effects on Improving Organic Strawberry Production

The application of seaweed extract and microbial biostimulants has been suggested as a promising approach to overcome yield-limiting factors in organic farming. Yet, information regarding their impact on organic strawberry production is limited. This 2-year field study evaluated the effect of seaweed extract and microbial biostimulants and their synergistic effects on strawberry plant growth, nutrient uptake, fruit yield, and quality under organic production. The biostimulant effects were compared on two strawberry cultivars: Sweet Sensation® Florida127 and Florida Brilliance. Over two seasons, the combination of seaweed extract plus microbial biostimulants applied biweekly consistently resulted in a significant increase of whole-season marketable and total strawberry fruit yields by 23% and 20% on average, respectively, compared with the no-biostimulant control. Application of either biostimulant alone did not consistently show positive effects on strawberry productivity. Modified strawberry root system architecture, enhanced N uptake, increased number of crowns, and higher soil respiration were observed in the biostimulant combination treatment in contrast to the no-biostimulant control. The biostimulant impact was not influenced by strawberry cultivar, but genotypic difference in yield performance under organic production was observed. ‘Florida Brilliance’ produced significantly higher total fruit number and yield than ‘Florida127’ by 26% and 12%, respectively, in the first season, and by 34% and 11%, respectively, in the second season. Marketable fruit number (by 18%) and yield (by 9%) of ‘Florida Brilliance’ were also higher in the first season, along with greater marketable fruit number (by 31%) in the second season. In addition, ‘Florida Brilliance’ showed significantly higher values of SPAD index, photosynthetic rate (early harvest), and fruit mineral contents based on dry weight (late harvest) than ‘Florida127’ in both seasons. Although the biostimulant treatments exhibited little influence on the fruit quality attributes including soluble solids content (SSC), titratable acidity (TA), SSC/TA, and total anthocyanin content, varietal differences were observed with significantly higher levels of SSC and lower contents of total anthocyanins in ‘Florida 127’ vs. ‘Florida Brilliance’ during each season. The benefits of combined application of seaweed extract and microbial biostimulants demonstrated in this study suggest the need to further elucidate their synergistic functions in promoting nutrient uptake and fruit yield in organic strawberry production systems under different soil and environmental conditions.

Catalytic Pyrolysis of Apricot Kernel Shell Over Metal Supported MCM-41 Catalysts Obtained by Synthesizing Sonochemical Method

In this study, it is targeted to examine the efficiency of metal supported MCM-41 catalysts on the liquid product yield from pyrolysis process of apricot kernel shell selected as a biomass and to characterize the pyrolysis liquids. In the non-catalytic pyrolysis experiments, the maximum liquid yield is obtained as 21.41% at 500°C. At the determined optimum condition, catalytic pyrolysis process of the biomass sample is performed with metal supported MCM-41 catalysts synthesized by sonochemical method (metal: aluminium, cobalt, iron) at different ratios to biomass (1 and 2 wt. %). The pyrolysis procedures of apricot kernel shell are carried out in a tubular fixed-bed reactor at different pyrolysis temperatures. The use of catalysts improved both the liquid product (tar) yield and tar quality in respect to the calorific value, the distribution of hydrocarbons and the elimination of oxygenated groups. The results revealed that all metal-supported MCM-41 catalysts, especially the Fe-MCM-41 catalyst ratio of 2, showed an excellent catalytic ability for thermal conversion of biomass. In the catalytic pyrolysis experiments carried out at 500 °C, 75.84% conversion to liquid and gaseous products was obtained using 2% Fe-MCM-41 catalyst, and the calorific value of the liquid product obtained was determined as 40.96 MJ/kg. The functional group analyses in the structure of the liquid products are characterized using FT-IR spectroscopy, and the distributions of the aliphatic/aromatic fractions of the liquid products are characterized using GC-MS technique. The H/C ratio of the liquid product obtained from catalytic pyrolysis is between light and heavy petroleum products and also has lower oxygen content and higher calorific value, indicating the potential of metal-supported MCM-41 catalyst for renewable hydrocarbon production from apricot kernel shell.

Effects of natural and mechanical drying processes on unsaturated fatty acids, vitamin E, estradiol, and physicochemical properties of Rana chensinensis ovum

Although Rana chensinensis Ovum (RCO) is enriched with high nutritional value, its quality varies due to the different drying methods used by farmers. This study aims to explore the impact of natural and mechanical drying methods on the nutritional compositions and physicochemical properties of RCO. Five different drying methods were studied, including blast drying (BD), mild breeze light drying (MBLD), natural air drying (NAD), vacuum heat drying (VHD), and vacuum freeze drying (VFD). The quality assessment was based on unsaturated fatty acid (UFA) content, iodine value, estradiol, vitamin E, saponification value, thiobarbituric acid value (TBA), acid value, and antioxidant properties. The results showed that VFD had higher UFA content and lower acid value (139.950 ± 0.397 mg · g−1) and TBA value (0.097 ± 0.003) than others. VFD and NAD had higher iodine values (147.166 ± 1.475 and 146.803 ± 1.209, respectively) than others. There were no significant differences in estradiol, vitamin E, peroxide value and the clearance rates of ABTS+ free radicals and DPPH• free radicals with different drying methods. The findings will provide valuable insights into the industrialization of RCO.Graphical

Drying kinetics (mathematical modeling) and quality evaluation of herbal leaves (Adulsa and Durva) dried in small‐scale greenhouse solar dryer (GHSD): Experimental investigation and comparative analysis

AbstractThe study presents the performance of a small‐scale greenhouse solar dryer (GHSD) to demonstrate hygiene and superiority over traditional methods for medicinal Adulsa and Durva leaves. The GHSD dryer lowered the initial moisture of Adulsa leaves from 73.99% (w.b.) to the final 10.63% (w.b.) under natural and forced convection in 3 and 2.5 h, respectively. Similarly, the initial moisture of Durva leaves was reduced from 67.33% (w.b.) to 11.65% (w.b.) under natural and forced convection in 2.75 and 2.5 h, respectively. Furthermore, mathematical modeling with non‐linear regression was implemented to characterize the drying of Adulsa and Durva leaves, which showed that Midilli–Kucuk and Modified Midilli were the most superior fits for reporting the drying of Adulsa leaves in GHSD and open sun drying, respectively, whereas Verma and Midilli–Kucuk models were superior fits for characterizing the drying of Durva leaves in GHSD and open sun, respectively. Furthermore, the quality of the dried Adulsa and Durva leaves was evaluated, where total phenolic content (TPC) and total flavonoid content (TFC) values were marked higher in the leaves dried by the GHSD as compared to open sun drying for both Adulsa and Durva leaves. Moreover, during antioxidant analysis, the IC50 values among the leaves dried in GHSD were recorded to be greater for the natural convection greenhouse solar dryer (NCGHSD) for both Adulsa and Durva (40.67 and 122.24 μg/mL) compared to open sun drying (101.88 and 158.20 μg/mL). A quality assessment was performed on dried Adulsa and Durva leaf samples, and they exhibited appropriateness for pharmaceutical industry drug production.Practical applicationsGreenhouse solar dryer is an eco‐friendly, sustainable, clean, and hygienic way to dry herbs and medicinal plants. The greenhouse solar dryer can shorten the drying time by 50%–60% compared to natural stand in the sun (open sun drying) and improve the quality of the dried herbs, medicinal plants, and reduce the decay rate of the dried products. These leaves can be best suited for Ayurveda medicine industries for herbal powder (Churna). Being an economically advantageous greenhouse solar dryer improves the shelf life of the dried leaves, reduces their density, and lower transportation costs, leading to boost farmers' income in herbal farming and nutritional security.

Individual or successiveseed priming with nitric oxide and calcium toward enhancing salt tolerance of wheat crop through early ROS detoxification and activation of antioxidant defense

Despite the considerable efforts reported so far to enhance seed priming, novel ideas are still needed to be suggested to this sustainable sector of agri-seed industry. This could be the first study addressing the effect of nitric oxide (NO) under open field conditions. The impacts of seed redox-priming using sodium nitroprusside (SNP) and osmo-priming with calcium chloride (CaCl2), both applied individually or successively, were investigated under salinity stress conditions on wheat plants (Triticum aestivum L.). Various parameters, including water relations, growth, yield, photosynthetic pigments, and antioxidant activities (enzymatic and non-enzymatic), were recorded to assess the outcomes of these priming agents on mitigating the negative impacts of salinity stress on wheat plants. Water consumptive use (ETa) and irrigation water applied (IWA) decreased with seeds priming. Successive priming with SNP + CaCl2 induced the greatest values of crop water productivity (CWP), irrigation water productivity (IWP), seed index, grain yield and grain nitrogen content.Under salinity stress, the dry weight of plants was decreased. However, hydro-priming and successive chemical priming agents using combinations of calcium chloride and sodium nitroprusside (CaCl2 + SNP & SNP + CaCl2) preserved growth under salinity stress.Individual priming with sodium nitroprusside (SNP) and calcium chloride (CaCl2) resulted in the lowest recorded content of sodium in the shoot, with a value of 2 ppm. On the other hand, successive priming using CaCl2 + SNP or SNP + CaCl2 induced the contents of potassium in the shoot, with values of 40 ppm and 39 ppm, respectively. Malondialdehyde decreased in shoot significantly withapplicationof priming agents. Successive priming with CaCl2 + SNP induced the highest proline contents in shoot (6 µg/ g FW). The highest value of phenolics and total antioxidants contents in shoot were recorded under successive priming using CaCl2 + SNP and SNP + CaCl2.Priming agents improved the activities of ascorbate peroxidase and catalase enzymes. The successive priming improved water relations (ETa, IWA, CWP and IWP) and wheat growth and productivity under salinity stress more than individual priming treatments.

Assessment of Genetic Diversity and Relatedness of Local Banana (Musa spp.) Cultivars in Malaysia Using Simple Sequence Repeat (SSR) Markers

Banana (Musa spp.) is an economically important crop widely consumed all over the world. Understanding the genetic diversity and relatedness between various banana cultivars is important to continuously improve its fruit characteristics, nutritional value, and disease resistance. This study aimed to develop a DNA fingerprinting panel using polymorphic simple sequence repeat (SSR) markers for the genetic characterisation of 11 banana cultivars in Malaysia. A total of 10 polymorphic SSR markers were developed into a multiplex PCR reaction and capillary electrophoresis to uniquely profile our collection of banana cultivars. The developed fingerprinting panel successfully amplified a total of 95 alleles, with 6 to 13 alleles per SSR marker. The average SSR marker polymorphic information content (PIC) value is 0.812, indicating the informativeness of the panel. Analysis of molecular variance (AMOVA) shows that 97% of the molecular variance from our banana collection is due to inter-variety genetic diversity, while the remaining 3% is due to intra-variety genetic diversity. A population structure analysis groups our collection of banana varieties according to the presence of at least one M. balbisiana (B) genome in their genetic makeup. The Cavendish variety, however, showed a distinct structure compared to the other cultivars. This SSR fingerprinting panel provides valuable insights into the genetic diversity and relatedness between banana cultivars in Malaysia. It has the potential to assist future banana breeding initiatives and serve as an effective quality control measure for verifying varieties in a tissue culture facility involved in banana planting materials production.

Physicochemical Evaluation and Pharmacological Screening of Fernando Adenophylla Steenis Fruits.

The current study aimed to evaluate the physicochemical properties of Fernandoa adenophylla. Powder studies were carried out to estimate the quantitative physicochemical characteristics of the crude drug, including moisture content, ash content, and extractive values. Using a Soxhlet apparatus and different analytical grade solvents, 3 sample extracts of a crude drug were made. To evaluate the potentially toxic nature, an acute oral toxicity study was performed as per OECD guideline no. 423. Sample extracts were tested and analyzed by ANOVA for pharmacological potential (analgesic, antipyretic, and antidiabetic) using Wister-Albino rats. Where physicochemical analysis indicated purity, quality, and presence of organic/inorganic materials in crude drug extracts, no sign of mortality was found up to 2000 mg/kg of body weight of Fernandoa adenophyllas extracts. Analgesic activity was observed in all sample extracts, whereas only chloroform and ethanolic extracts expressed antipyretic and antidiabetic potential. Ethanolic extract was found to be most potent in pharmacological potential as 200 mg/kg extract dose exhibited %age pain inhibition of 55.12 % and reduced body temperature from 39.78±0.03 °C to 37.22±0.02 °C in hyperthermic rats. A decrease in blood glucose levels up to 57.88 % was observed on the 21st day of the treatment with 500 mg/kg ethanolic extract.

Physio-chemical Characterisation of Dumped Solid Waste

Landfilling is the most common practice used for the disposal of solid waste since it is the cheapest method of municipal solid waste management. The present study aims to determine the physical and chemical characteristics of dumped solid waste collected directly from Okhla landfill site (New Delhi, India) which has been declared as exhausted in 2018. These waste samples have been collected having ages beyond 20 years. Further, several laboratory tests were performed on the samples to investigate parameters namely physical composition, moisture content, density, optimum moisture content, pH, electrical conductivity, percentages of carbon (C), nitrogen (N), hydrogen (H), sulphur (S) and C/N ratio. The physical composition of samples was found to be substantially heterogenous. The mean values for moisture content and optimum moisture content were observed as 10.03% and 22.27% respectively. Moreover, the mean of density, pH and electrical conductivity were obtained as 1323.88 kg/m3, 6.44 and 3.06 mho/cm respectively. On the other hand, the elemental parameters C, H, N, S mean percentages were evaluated as 5.98%, 0.73%, 0.27% and 0.71%. Consequently, C/N ratio was evaluated as 23.46 for the samples. These results have also been compared with the MSW characteristics of Asian countries.

Preparation and Characterization of Supramolecular Bonding Polymers Based on a Pullulan Substrate Grafted with Acrylic Acid/Acrylamide by Microwave Irradiation

A microwave technique was used to prepare a superabsorbent polymer (SAP) by grafting two hydrophilic monomers onto a polysaccharide substrate. The monomers used were acrylic acid (AA) or acrylamide (AM) and were grafted onto a pullulan (PUL) substrate to form PUL-g-AA (SAP1) and PUL-g-AM (SAP2), respectively. The monomers (AM/AA) were grafted together onto a PUL substrate to form PUL-g-(AM/AA) (SAP3). Grafting parameters such as grafting efficiency with the percentage, the conversion of monomer into polymer, gel content, water retention, water adsorption capacity, and swelling kinetics were determined. Additionally, the effect of environmental pH (2, 4, 7, 9, and 12) and sodium dodecylbenzene sulfonate (SDBS) surfactant was evaluated, where 1, 2, 3, 4, and 5 mM of SDBS was added to form SAP4 to SAP8. The FTIR results show that AM was grafted onto PUL through an aliphatic C-N bond, while AA grafting occurred through a single C-C bond. The grafting efficiency with AM was higher than with AA, as well as showing a superior gel content. Water absorbance capacity and water retention increased with the grafting of AA and AM together for SAP3. The highest absorbent capacity, water retention, gel content, and grafting parameters values were obtained with a 3 mM SDBS content and a pH of 7. The swelling kinetics showed that the increases in the theoretical and experimental swelling equilibriums were 72% and 82%, respectively, for SAP6 compared to the values of these parameters for SAP3. The water absorption capacity of the hydrogel increases upon increasing the pH to 7 and then gradually decreases. XRD demonstrated the improved crystallinity and crystalline size of the hydrogel after grafting polymerization of AM/AA onto PUL, in addition to enhanced thermal stability. On the contrary, FE-SEM demonstrated that SDBS improves the porosity and pore size of the hydrogel surface with SAP6.

Exploring genetic diversity of yellow-berried night shade (Solanum virginianum L.) using genetic divergence and molecular markers

The rationale of this research was to explore the genetic divergence of 54 kantakari accessions (Solanum virginianum L. syn. S. surattense Burm. f.), to identify their significant traits, and unravel their genetic variations. Kantakari is a widely used medicinal plant in traditional medicine worldwide and is also known for its allopathic properties. The morphological descriptors and molecular markers (Random Amplified Polymorphic DNA) used to characterize these samples revealed significant within-accession heterogeneity, indicating the possibility of future selection. Twenty-three morphological and biochemical features were examined to assess taxonomic traits. Accessions were classified into six clusters based on Mahalanobis D2 statistics of 23 quantitative traits. Clusters V and VI had the largest intercluster distance (1183.81), whereas Cluster IV had the largest intracluster distance (D2 = 275.67) (Cluster V and VI). Random Amplified Polymorphic DNA marker amplification using 10 polymorphic primers revealed 79 alleles with an overall mean of 7.90 alleles per marker, with Polymorphism Information Content values varying from 0.11 to 0.37 (Mean = 0.30). Cluster assessment produced three distinct groups. In conclusion, the investigation underscores that substantial diversity was observed among the surveyed kantakari accessions. Using molecular markers in tandem with morphological characterization, presents a robust approach for elucidating the intricacies of species-specific genetic variation with greater accuracy and depth.

Effect of carboxymethyl cellulose and xanthan gum on the quality of gluten-free cookies from rice varieties with different amylose contents

Amylose and hydrocolloids may influence the rheology of dough and quality parameters of gluten-free cookies. The present study addresses an aspect of the effect of rice varieties (IR50404, Song Hau and Jasmine) and hydrocolloids (hydrocolloids (carboxymethyl cellulose, CMC, and xanthan gum, XG) with concentrations from 1.0 to 3.0% on rice cookie quality parameters (moisture content, water activity, density, expansion ratio, hardness and sensory value). The results noted that amylose content of rice varieties mainly influenced the hardness, expansion and thickness of cookies. The CMC was strongly and positively correlated with hardness while XG had a sharply positive relation with hardness, expansion ratio and water activity of cookies. Their interaction contributed mainly to the density of the rice cookie. The most appropriate hydrocolloid contents were 2% of CMC and 1% of XG for making good quality cookies from the Song Hau rice variety with medium amylose content.