Proximate Analysis Research Articles

Drug repurposing for Parkinson’s disease by biological pathway based edge-weighted network proximity analysis

Parkinson’s disease is the second most frequent neurodegenerative disease, and its severity is increasing with extended life expectancy. Most of current treatments provide symptomatic relief; however, disease progression is not inhibited. There are multiple trials for treatments that target the causes of the disease but they were flawed. The mechanisms underlying neurodegenerative diseases are intricate, and understanding the interplay among the biological elements involved is crucial. These relationships can be effectively analyzed through biological networks, and the application of network-based analyses in the context of neurodegenerative disease treatment has gained considerable attention. Moreover, considering the significance differences in interactions between biological elements within the network is important. Therefore, we introduce a novel biological pathway based edge-weighted network construction method for drug repurposing in Parkinson’s disease. The interaction found in multiple Parkinson’s disease-related pathways is more significant than other interactions, and this significance is reflected in the network edge weights. Using the edge-weighted network construction method, we found a significant difference in the efficacy between known and unknown Parkinson’s disease drugs. The method predicts drug-disease interactions more accurately than approaches that do not consider the significance differences among interactions, and the paths between the drug and disease within the network correspond to the drug’s mechanism of action. In summary, we propose a network-based drug repurposing method using the biological pathway based edge-weighted network. Using this methodology, researchers can find novel drug candidates for the parkinson’s disease and their mechanism of actions.

Nutritional and Microbial Quality of Locally Processed Plantain Flour

Flour is a fibre rich in carbohydrate but the preparation and packaging process are exposed to microbial contaminations and nutritional alterations. This study was therefore undertaken to evaluate the microbial and nutritional quality of packaged and unpackaged plantain flour. Cultural, microscopic, biochemical test and most probable number (MPN) methods were employed to determine the various microorganisms; while pproximate analysis was done to estimate inherent nutrients in the flour. Significant differences between packaging, nutritional and microbial qualities were determined using ANOVA or T-test, at P<0.05. Results show Heterotrophic bacterial count in packaged plantain flour was 4.52 ± 1.20 x 102 Cfu/g and unpackaged flour 6.01 ± 1.43 x 102 Cfu/g. Coliform bacterial count in plantain flour showed packaged 2.77 ± 2.01 x 102 Cfu/g and unpacked 3,45 ± 0.50 x 102 Cfu/g. The Pseudomonas count showed the packaged plantain flour count of 3.24 ± 0.60 x 102 Cfu/g and the unpackaged 4.31 ± 1.23 x 102 Cfu/g. The proximate analysis of the flour sample revealed an increase in nutritional contents. This study concludes that exposure of flour to the environment increases microbial content and therefore health and hygiene concerns.

Physicochemical and sensory quality of high antioxidant fruit leather of red dragon fruit and watermelon rind enriched with seaweed

Fruit, as a source of antioxidants and phenolic compounds, is perishable. It also has an underutilized component. Fruit leather has a long shelf life in the form of thin sheets with a distinctive texture. This study aimed to investigate the effect of seaweed (Eucheuma cottonii) addition on the physicochemical and sensory quality of fruit leather made from the combination of red dragon fruit and watermelon rind. The physicochemical quality was characterized by measuring the critical quality parameters of fruit leathers, including proximate analysis, water activity, total phenol, antioxidant activity, texture, and organoleptic analysis. The statistical analysis of phenolic compound activity, antioxidant activity, vitamin C, moisture content, carbohydrates, and water activity (aw) was conducted using a one-way ANOVA test, while the analysis of ash content, protein, fat, tensile strength, elongation, and organoleptic properties was performed using the Kruskal–Wallis test. Increasing seaweed concentration significantly increased moisture, ash, protein, vitamin C, total phenol, water activity, and elongation but decreased fat content. Furthermore, the increase in seaweed concentration reduced liking toward taste and color significantly but increased texture liking. The best product was the F2 product with 10% seaweed. F2 has the following attributes: 11.07% of moisture content, 2.34% of ash, 1.53% of protein, 0.19% of fat, 84.86% of carbohydrate, 8.17 mg/100 g of vitamin C, 0.41 of water activity, 0.54 N/m2 of tensile strength, 22.22% of elongation, 107.39 ppm of IC50, 1.66 mg/GAE g of total phenolics.

Research on controlled mining of end slope fire-burned area in open-pit mine

To solve the problem of controlling mining in the open-pit mine end slope fire-burned area, applying multivariate function fitting to the roof and floor modeling of multi-coal seam open pit mines, introducing the factor of coal quality changes in the fire-burned area, determining coal quality information at each location through proximate analysis of coal, to establish the net profit model of the mining area, it is determined the net profit of each mining position by numerical integration, the final mining position was determined without failure by calculating the slope stability based on the numerical simulation of strength reduction. Taking the Dananhu No. 2 open-pit mine in Hami, Xinjiang, China as the engineering background, the fire-burned area III within the southern end slope boundary of the first mining area is 240 m. It was finally determined that the optimal mining position is when the advancement degree is 182 m, the ultimate pit slope angle is 25°, the three-dimensional slope stability is 1.305, the profit is 671.96 million yuan, The deep boundary of the southern end slope fire-burned area of the slope is reduced by 58 m. This paper solves the problem of end slope mining in Dananhu No. 2 mine, and maximizes its net profit under the condition of ensuring safe production.

Comparative Study of the Proximate Composition and Sensory Evaluation of Fresh and Smoke-dried Fish Species from Omambala River, Anambra State, Nigeria

This study investigates the proximate composition and organoleptic properties of fish species from the Omambala River in Anambra State. A total of 40 fresh fish samples, specifically Clarias gariepinus and Heterotis niloticus, with a mean length of 25 cm and mean weight of 380 g, were analyzed. The fish samples, initially scaled, had their viscera removed and were washed in clean water before undergoing brining. This involved immersing the fish in a 75% saturated brine solution, prepared by dissolving 27 g of NaCl in 100 ml of water for 30 seconds. The samples were then smoke-dried in a smoking kiln. Proximate composition was assessed using standard methods from the Association of Analytical Chemists (AOAC), while organoleptic properties were evaluated using a 9-point hedonic scale. Data were collated and analyzed using a two-way analysis of variance (ANOVA) with GENSTAT version 4 software, and mean separation was performed using the Least Significant Difference at a 5% probability level. Results indicated that the proximate analyses revealed an increase in all nutrient compositions after smoke-drying, except for moisture and carbohydrates, which significantly decreased from 44.58% to 14.15% and from 37.10% to 7.88%, respectively, for C. gariepinus. In the case of H. niloticus, increases were noted in ash, fiber, fat, and protein, while moisture decreased significantly (p<0.05) from 44.87% to 17.89%. Organoleptic evaluation showed a preference for C. gariepinus, which had a significantly higher overall acceptability mean score of 8.40±0.66 compared to 6.70±2.26 for H. niloticus. This research demonstrates that smoke-drying fish effectively reduces moisture content, enhances nutrient composition, and improves organoleptic properties, thereby increasing shelf life. It is recommended that both C. gariepinus and H. niloticus be hygienically smoke-dried to maximize organoleptic qualities, nutrient composition, and shelf life, ultimately yielding better economic returns. Keywords: Nutrient composition, organoleptic properties, Smoking kiln, Fish species

Geospatial insights into open defecation vulnerability in Gulumbe, Nigeria

Open defecation (OD) poses a serious public health risk by exposing communities to diseases and compromising the well-being of people. One potential approach to mitigating its impact is the application of spatial planning techniques. However, spatial data paucity is one of the major problems in addressing open defecation issues in Nigeria. This study employed spatial analysis to identify areas particularly susceptible to OD using Geographical Information System (GIS) including Merginmap applications on Android and QGIS software, which were used with field observations to georeferenced residential areas, public toilets, and instances of open defecation. Proximity analysis and local indicators of spatial autocorrelation, based on Moran’s I, were employed to assess vulnerability. Buffer analysis was conducted to identify residential areas within 100 m of an OD site, and the findings indicated residential areas at high risk of experiencing negative impacts from OD. The LISA analysis revealed a high-to-high clustering pattern (p < 0.05) in the southern region of the study area, which aligns with the results of the buffer analysis and further suggests consistent spatial patterning. Furthermore, OD was more prevalent near water bodies and inner residential areas, increasing the risk of water and air pollution. This pollution could facilitate the spread of harmful bacteria, such as E. coli and Salmonella, from OD sites to nearby households, increasing the risk of disease. This study stresses the potential of GIS in evaluating areas vulnerable to OD and highlights the need to expand awareness campaigns regarding proper hygiene and sanitation practices in rural communities.

Potential for Biogas Production from Water Hyacinth and Banana Peels: A Case Study of Substrates Harvested from Lomé, Togo

Climate change and the growing demand for energy have prompted research on alternative eco-friendly energy sources. This study focused on the potential for biogas production from water hyacinth and banana peel waste through physicochemical characterization and batch anaerobic digestion tests. The water hyacinth and banana peel samples were dried, ground, and subjected to elemental, proximate, and fiber content analyses. Subsequently, banana peel waste, water hyacinth stems, and leaves were used for batch anaerobic digestion tests in 500 mL glass flask bottles for 21 days under mesophilic conditions in n = 3 trials. Kruskal–Wallis and Dunnett’s tests were performed to identify the significance of the differences in biogas yield among the samples. The analyses of the elemental, proximate, and fiber contents of water hyacinth and banana peels revealed that they possess a suitable chemical composition and essential nutrients for the production of high-yield biogas. The biogas yields from water hyacinth leaves, stems, and banana peels were 280.15, 324.79, and 334.82 mL/g VS, respectively. These findings indicate that water hyacinth and banana peel waste have significant potential for biogas production.

KINETIC AND THERMODYNAMIC ADSORPTION STUDIES ON THE REMOVAL AND TREATMENT OF TEXTILES EFFLUENTS USING ACTIVATED CARBON DERIVED FROM DIOSPYROS MESPILLIFORMIS SEEDS.

An agricultural waste Diospyros mespiliformis seeds were treated, and activated with 30% of 0.3M sodium hydroxide base, to obtain an activated carbon employed in an adsorption process. It was utilize to treat effluent textile water sample from African Textile Manufacturers Limited in Dala, Kano State, Nigeria. Various techniques, including scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and proximate analysis were employed to investigate the adsorption process. The adsorbent was able to remove the dark red color to colorless found in textile effluents and shown a higher removal affinity for zinc ( 99.4%) and least affinity for nickel (0.11%), also Chromium (Cr) reduced by 39.4%, Copper (Cu) reduced by 20.9%, Iron (Fe) reduced by 91.9% , Manganese (Mg) reduced by 79.3%, are reduced significantly, the PH change from acidic PH 6.4 to neutral PH 7.1, turbidity decrease from 131 to 14 NTU , electrical conductivity change from 723 to 110 ?s·cm?1 .Diospyros mespiliformis seeds activated carbon was used for removal of congo red and malachite green from an aqueous solution. The effect of adsorbent dose, adsorbate concentration and contact time on the process of adsorption was investigated. The optimum dosage was found to be 0.5g had a percentage removal of 98.1% for congo red and 94.4% for malachite green. 10mg/l and 80minute was found to optimum concentration and optimum time in adsorption of congo red and malachite green. The equilibrium, kinetic and thermodynamic properties of the dyes removal were also investigated. The experimental data were modeled using linear regression method of analysis. The correlation coefficient was used as a criterion for model adequacy and acceptance. The pseudo second-order kinetic model was found to best correlate the experimental data with R2 of 0.9523 for CR and 0.9297 for MG. The experimental data were investigated at three different temperature, 305k, 325k and 335k were found to follow the Langmuir model with R2 of 0.9679, 0.9662 and 0.989 for CR and 0.9529, 0.9662 and 0.994 for MG. also were found to follow Temkinp model with with R2 of 0.9549, 0.9318 and 0.9952for CR and 0.9885, 0.9443 and 0.9209 for MG. The negative free gribbs energy indicated that the adsorption processes were spontaneously feasible. The positive values of +31.66KJ/mol and +92.3KJ/mol on both CR and MG indicate that adsorption process has been found to be endothermic in nature. The removal of congo red was found to be more spontaneous and feasible than the removal of malachite green on the adsorbent. From the study, it was deduced that the Diospyros mespiliformis seeds activated with sodium hydroxide was found to be a good adsorbent for the treatment of textile wastewater containing Congo red and Malachite green.

Proximate Composition and Functional Properties of Soyabeans (Glycine Max) Enriched Carbohydrate Diets

This study explored enhancing the nutritional value and functional properties of carbohydrate-rich diets by incorporating soybeans into millet, cassava, and yam. Soybeans, known for their high protein, unsaturated fats, and micronutrients, were used to fortify these staple foods. Proximate analysis assessed the macronutrient content of both the original and soybean-enriched samples, while functional properties such as water and oil absorption capacities, swelling index, bulk density, and gelation capacity were evaluated. Results showed significant increases in protein content, particularly in the millet-soybean mixture (29.81%), with relatively low levels of fat and ash. Functional assessments indicated millet’s highest gelation capacity and cassava’s superior water absorption. These findings suggest that soybean fortification can improve carbohydrate-rich diets’ nutritional quality and versatility. Further research is recommended to assess the impact of these dietary modifications on human health and consumer acceptance.

Linear and nonlinear models for assessing carcass composition using dual X-ray absorptiometry in egg- and meat-type chickens

The objective of this study was to develop appropriate correction equations for dual energy X-ray absorptiometry (DXA) for total carcass composition of live meat- and egg-type chickens. Linear (bivariate linear and multivariate linear) and nonlinear (polynomial, multivariate polynomial, broken-line and Gompertz) equations were used to estimate carcass composition of DXA-scanned birds based on chemical proximate analysis. A total of 288 laying females (10-30 wk of age) and 305 broiler breeder females (4-32 wk of age) were used. The same birds scanned by DXA were dissected and utilized for whole-body proximate chemical analysis for body lean, fat, and mineral content (ash). As indicators of carcass fat and lean, abdominal fat pad and breast muscle weights were also recorded. Models were evaluated using root mean square error (RMSE), Bayesian Information Criterion (BIC), coefficient of determination (R2), Durbin Watson test for autocorrelation (DW), and residuals observation (RES). Model estimations were done separately by strain or combined. Estimations of composition responses fit at least 1 of each linear and nonlinear models for the egg- and meat-type chickens on all parameters estimated (P < 0.05). In the egg-type chickens, multivariate linear regression was the best fit for body lean with the lowest RMSE and BIC, and highest R2 whereas body fat, body ash, and breast muscle were best predicted by the multivariate polynomial model. In the meat-type chickens, body lean was best predicted by the multivariate linear model with the lowest RMSE and BIC, and the highest R2 whereas the multivariate polynomial was the most parsimonious model for body fat, body ash, and abdominal fat. Positive autocorrelations were observed in several models tested for body fat, body ash, breast muscle, and abdominal fat pad when both strains were analyzed combined (P < 0.05). In summary, a strain-based correction is recommended to all the parameters, with exception of the BW estimation. Correction equations developed in this study demonstrated that the DXA technique is a reliable alternative to proximate chemical analysis in egg- and meat-type chickens.

Proximate, total starch,glycemic index, glycmic load and sensory analysis of fufu analogue products from maize residue

Proximate, total starch,glycemic index, glycmic load and sensory analysis of fufu analogue products from maize residue

Effect of Cultivation Techniques in The Dry and Rainy Seasons on The Quality of The Seaweed Caulerpa racemosa

The seaweed Caulerpa racemosa has great potential to be developed because it has economic value and potential as a functional food. This seaweed contains nutrients, including protein, carbohydrates, polyunsaturated fatty acids, fiber minerals, and antioxidants. The availability of seaweed is still very dependent on nature and has not been appropriately cultivated. The planting season and appropriate cultivation methods will influence seaweed's quality/nutritional content. This research aims to analyze the nutritional content of seaweed C. racemosa cultivated in different growing seasons. The research method used a floating raft system with a completely randomized design and a factorial pattern carried out in two seasons, namely the dry and rainy seasons. Proximate analysis was carried out to determine the nutritional composition of seaweed C. racemosa, including protein, crude fiber, water, ash, fat, and carbohydrate (NFE). Next, it was analyzed using ANOVA with a further test with Tukey. The research results showed differences in the nutritional composition of seaweed C. racemosa from each treatment cultivated in the dry and rainy seasons. The nutritional composition of seaweed C. racemosa best treatment is found in the plant spacing of 30 cm with a depth of 50 cm in the dry season with the nutritional content namely protein (13.8%), NFE (20.75%), crude fiber (15.71%), a fluctuating fat content of 0.16-1.42%, highest ash (34.69%), water content (35%), moderate in the rainy season namely: protein (10.8%), BETN (10.78%), crude fiber (12.33%), fat content fluctuates (0.18-1.06%), highest ash (30.21%), water content (41.01%).

Proximate Analysis and Techno-Functional Properties of Berberis aristata Root Powder: Implications for Food Industry Applications.

Berberis aristata, commonly known as Indian barberry, has been traditionally used for its medicinal properties. Despite its recognized pharmacological benefits, its potential application in the food industry remains underexplored. This study aims to investigate the proximate analysis and techno-functional properties of Berberis aristata root powder to evaluate its feasibility as a functional food ingredient. The root powder of Berberis aristata was subjected to proximate analysis to determine its moisture, ash, protein, fat, fiber, and carbohydrate content. Techno-functional properties, including water and oil absorption capacity, emulsifying and foaming properties, and bulk density, were evaluated using standardized analytical techniques. The proximate analysis revealed a high fiber content and a significant number of bioactive compounds. The root powder exhibited favorable water and oil absorption capacities, making it suitable for use as a thickening and stabilizing agent. Emulsifying and foaming properties were comparable to conventional food additives, indicating their potential in various food formulations. The findings suggest that Berberis aristata root powder possesses desirable techno-functional properties that could be leveraged in the food industry. Its high fiber content and bioactive compounds offer additional health benefits, making it a promising candidate for functional food applications. Further research on its incorporation into different food matrices and its sensory attributes is recommended to fully establish its utility.

Coal chemistry, utilization potential, and coalbed methane (CBM) assessment of some coal deposits in Central Benue Trough, north-central Nigeria

Coalbed methane (CBM), a current global legislative priority for climate change mitigation, is an unconventional and eco-friendly clean source of energy that is considered a veritable alternative to conventional fossil fuels. Despite its overwhelming advantages, CBM evaluation studies of Nigerian coals have received little or no attention. To bridge the gap in knowledge, we have for the first time in Jangwa-Shankodi and Lafia-Obi, described the potential of harnessing CBM for its gainful utilization in Nigeria using some coal deposits in its north-central region as a case study. The gas contents of the coals were determined empirically by taking account of their ultimate and proximate properties. Other coal parameters such as fuel ratio and vitrinite reflectance (Ro (%)) have also been computed and discussed. Proximate analyses of the studied coal samples show moisture contents that vary between 2.28 and 2.56%, whereas, volatile matter yield is placed in the range of 29.98–30.34%. Ash yield ranges from 7.83 to 8.64%. Fixed carbon content varies from 55.97 to 56.30%. Variation in fuel ratio shows a restricted range from 1.72 to 1.87. All the coal samples were found to be low in sulphur (< 1%) with H/C ratios that vary from 0.072 (LAF 2, 3 and 4) to 0.086 (JSK 3). Moreover, the coals were found to be of medium-volatile bituminous rank, with gas contents that range from 12.65 to 13.20 cc/g. In the current study, kerogen lies in the Type IV zone, which suggests the generation of methane gas by the studied coal samples. Also the estimated range of vitrinite reflectance (Ro) which varies between 1.073% and 1.086% indicates thermogenic gas expulsion in the coals. There is a noticeable increase in gas content with coal maturity and depth. These values are indicative of good quality coals that show antecedents for CBM production. However, considering that this work is a pilot study, we recommend that core drilling be employed in obtaining insitu measurements of the coal gas contents and thus, verify these empirical estimates. Also, detailed laboratory study on pore structure (and its distribution) and adsorption isotherm curve are recommended to better understand the coal reservoir properties and hence, consolidate the present study.

Coniferous Biomass for Energy Valorization: A Thermo-Chemical Properties Analysis

Forest biomass energy, when utilized responsibly, presents a carbon-neutral and viable alternative to fossil fuels for energy storage. This research investigates the energy potential of various coniferous species, focusing on their complex chemical compositions and suitability for energy production. Key characteristics such as moisture content, volatile matter, ash content, and fixed carbon were analyzed, along with elemental composition (including nitrogen, carbon, oxygen, and hydrogen) and both gross and net heating values across different species. The proximate analysis revealed significant interspecies variations. For example, Pseudotsuga menziesii and Chamaecyparis lawsoniana exhibited the lowest moisture contents. Elemental analyses showed a broad range of values, with Larix decidua having the lowest nitrogen content and Sequoiadendron giganteum the highest carbon content. Gross and net heating values also varied considerably, with Podocarpus macrophyllus showing the lowest values and Pinus strobus the highest. Principal component analysis (PCA) was employed to identify underlying patterns, revealing correlations between the analyzed variables and the energy potential of the species. Additionally, PCA combined with cluster analysis allowed for the identification of coherent groups of species with similar characteristics. Overall, these findings highlight the diverse energy valorization potential inherent in coniferous species, underscoring the importance of considering specific chemical compositions for efficient energy production. The insights provided here are valuable for selecting coniferous species for energy valorization, emphasizing the need to consider both chemical composition and calorific potential.

Pore structure and adsorption capability of marcolithotypes in the Weizhou mining area, western margin of Ordos Basin

Differences in the pore and fracture systems of four marcolithotypes (bright，semi‐bright, semi‐dull and dull) in coal reservoirs affect the quality of coalbed methane (CBM) and constrain exploration and development of CBM. In this paper, vitrinite reflectance (RO), maceral composition, proximate analysis, scanning electron microscopy (SEM), mercury intrusion porosimetry (MIP), low‐field nuclear magnetic resonance (NMR) and high‐pressure isothermal adsorption experiments and the mathematical method of fractal dimension were carried out on high‐rank coal samples of different marcolithotypes from the Weizhou mining area in the western margin of Ordos Basin. The results show that from bright coal to dull coal, the RO and vitrinite content gradually decrease, while the mineral content and Aad gradually increase. SEM images show that the bright and semi‐bright coals develop open fractures, whereas semi‐dull and dull coals develop closed fractures. According to pore size distribution established by MIP and NMR, the proportion of seepage pores gradually increased from bright coal to dull coal, and MIP fractal dimension of seepage pores (DM2; 2.3352, 2.3532, 2.3755 and 2.4727, respectively) and NMR fractal dimension of seepage pores (DN2; 2.8767, 2.9142, 2.9297 and 2.9981, respectively) show that the structure of the seepage pore is progressively more complex from bright coal to dull coal. In addition, percentage of NMR adsorption pores progressively increases from bright coal to dull coal (64.96%, 76.64%, 82.04% and 89.67%, respectively), but total porosity of bright coal (6.74%) is much greater than that of dull coal (1.34%), which results in that bright coal also has the strongest CH4 adsorption capability (Langmuir volume is 22.898 cm3/g).

Effective removal of different dyes using run-of-mine and processed coal samples

Coal, traditionally utilised solely for combustion, is now being investigated for its potential as an adsorbent in purifying drinking water by eliminating hazardous metal ions. Limited research exists regarding its effectiveness in reducing organic dye levels. Presented here are the outcomes of an extensive investigation into various carbon samples' efficacy as adsorbents for wastewater color removal. Samples of coal sourced from Western Coalfield Limited (WCL) were meticulously processed and characterized, encompassing run-of-mine coal and acid-leached coal. A comprehensive array of techniques, including scanning electron microscopy (SEM) coupled with energy dispersive X-ray spectroscopy (EDX), powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FTIR), and Raman spectroscopy, was employed for coal characterization. Proximate analysis and gross calorific value (GCV) were employed to assess coal's physical attributes. The adsorption behavior of methylene blue (MB) and crystal violet (CV) on coal was scrutinized, varying factors such as contact time, pH, initial MB and CV concentrations, and adsorbent doses. Optimal adsorption parameters for MB were determined as pH 2, initial concentration of 1 ppm, 0.2 g adsorbent dose, and 60 min contact time. For CV, optimal conditions were pH 8, initial concentration of 6 ppm, 0.4 g adsorbent dose, and 45 min contact time. MB adsorption kinetics favored the pseudo-second-order reaction model, with Freundlich isotherms providing a better fit than Langmuir isotherms. Conversely, CV adsorption kinetics favored the pseudo-second-order reaction model, with Langmuir isotherms exhibiting a superior fit compared to Freundlich isotherms.

Comparative Evaluation of the Proximate Composition and Amino Acid Profile in Fresh and Traditionally Sun-dried Fish Species, Puntius sophore (Hamilton, 1822) and Amblypharyngodon mola (Hamilton, 1822)

Fish is one of the most widely consumed sources of animal protein in the world. However, they are subjected to countless post-harvest changes, so technologies such as sun-drying are employed to preserve fish for a longer time. Currently, sun-dried fish also have a major place in terms of nutrients alongside fresh fish. The present study has been conducted to determine the proximate composition and amino acid content of fish species namely, Puntius sophore (Puthi), and Amblypharyngodon mola (Moa) in fresh and sun-dried conditions to enunciate the nutritional benefits of consuming sun-dried fishes together with fresh fishes. During the study period, fresh fish samples collected were divided into two batches. In one batch all the analyses were carried out under fresh conditions. In the corresponding batch, all the tests were carried out in sun-dried conditions. Proximate composition and amino acid analysis were carried out as per the guidelines of AOAC (2015). The moisture, crude protein, crude fat, ash, and carbohydrate content of the fresh and sun-dried P. sophore and A. mola revealed significantly higher moisture content in the fresh fish samples than in the sun-dried samples. Significantly higher crude protein, crude fat, ash, and carbohydrate contents were obtained in the sun-dried samples compared to the samples in fresh condition. The Essential Amino Acid (EAA) predominant in fresh and sun-dried samples of both the species were found to be Lysine and Histidine respectively. The predominant Non-essential Amino Acid (NEAA) in fresh and sun-dried samples of both species was Glutamic acid. The analysis of nutritional parameters reveals that sun-dried fish can provide comparable nutrition to fresh fish. This study is therefore designed to promote the consumption of sun-dried fish among a broader segment of society, highlighting its dietary significance.

Comprehensive analysis of nutritional activity in Garcinia kola stem bark (Clusiaceae), Stone Breaker (Phyllanthus niruri) leaves and their blends: Implications for therapeutic applications

This study investigates the nutritional and mineral composition of Garcinia kola Stem Bark (Clusiaceae) and Stone Breaker (Phyllanthus niruri) leaves, processed through fermentation, blanching, and drying, to evaluate their potential health benefits. The samples were divided into three groups: Garcinia kola Stem Bark, Stone Breaker, and a 50 %:50 % mixture of both. The proximate analysis revealed significant variations. Moisture content ranged from 6.03 % to 7.38 %, with blanched Stone Breaker having the lowest and blanched Garcinia kola the highest, indicating differences in storage stability. Fermented samples showed higher ash content (up to 8.66 %), suggesting increased mineral availability due to microbial activity. Protein content was highest in fermented Stone Breaker (19.73 %), highlighting the benefits of fermentation in enhancing protein levels. Mineral analysis showed that blanched Stone Breaker had the highest potassium content (1872.8 mg/100 g), beneficial for cardiovascular health, while fermented samples had notable levels of calcium (402.2 mg/100 g) and magnesium (426.8 mg/100 g), supporting bone health and energy metabolism. Fermented Stone Breaker also emerged as the best overall sample due to its high protein content, higher ash content, and balanced moisture and fat levels, making it nutritionally rich and stable for storage. These findings emphasize the impact of processing methods on the nutritional and mineral profiles of herbal blends. Fermented Stone Breaker, in particular, offers a promising balance of essential nutrients for dietary enhancement and therapeutic health promotion.

Development and Quality Evaluation of Air Fried Multi Millet Tortilla Chips

The current study was aimed to optimize the process for preparation of multi millet tortilla chips. As nowadays people have become more health conscious due to changing lifestyles, detailed research was carried out to develop the multi millet tortilla chips to meet the needs of consumer. Ingredients such as Masa flour, Finger millet, Sorghum, Sesame seeds and seasoning were utilized as raw materials for preparation of multi millet tortilla chips. Optimization of Control sample, Finger millet and sorghum was done. Unlike the tortilla chips available in the market, these multi millet tortilla chips are gluten free and air fried which provides us with a healthy alternative to deep fried tortilla chips. Physical parameters such as texture, colour, thickness, proximate analysis and microbial analysis of formulated tortilla chips were carried out. Key words: Multi millet Tortilla snack, Gluten free, Masa flour, Air frying