The increasing prevalence of multidrug-resistant (MDR) pathogens and oxidative stress-related disorders has intensified the search for plant-derived bioactive compounds. Four officially released Bangladesh Jute Research Institute varieties—BJRI Tossa Pat-8 (Corchorus olitorius), CVL-1 (C. capsularis), HC-95 (Hibiscus cannabinus) and BJRI Mesta-2 (H. sabdariffa)—were evaluated using distilled water, 80

This study explores the development of a chemical-free pretreatment on jute fabrics, as a benign alternative to traditional chemical pretreatment processes. Jute fabric samples were pretreated using non-chemical at 130 degrees C for 1 hour in lab deep machine. The absorbency, color strength (K/S values), whiteness, CIELAB values, FTIR, SEM analysis, tensile strength and fastness of the treated fabrics to rubbing, washing and perspiration were evaluated. The chemical-free method (6.5 seconds vs. 4.1 seconds for water droplet absorption) demonstrates comparable absorbency to conventionally pretreated samples, boosted color strength (K/S 18.2 vs. K/S 15.8 for reactive dyes), and slightly reduced whiteness (149 vs. 159.1). Analysis of FTIR showed that hydrogen bonding was reduced, with minimal cellulose degradation after modeling, and surface roughness increased according to SEM analysis, enabling better diffusion of the absorbed dye. The chemical-free treated samples exhibited better dry rubbing fastness (3-4 vs. 3) and wash fastness ratings of 3-4 for color change and 3-5 for staining, which were comparable to those of conventionally dyed samples. The chemical-free samples had good elongation at peak (8.0% vs. 7.7%) and a slightly higher tensile strength (149.7 N vs. 147.5 N). These findings suggest that pretreatment without chemicals is a sustainable and eco-friendly method of preparing jute fabric while preserving or enhancing key mechanical and coloring qualities.

— The integration of artificial intelligence (AI) and geographic information systems (GIS) has opened up new possibilities and advancements in the field of geoscience. AI techniques, such as machine learning and deep learning, have shown great potential in solving various GIS challenges and improving the intelligence of GIS software. GeoAI, which combines AI with GIS operations, encompasses geospatial machine learning and geospatial deep learning. Geospatial machine learning in ArcGIS allows users to address tasks like geographical clustering, spatial classification, and spatial regression. Geospatial deep learning algorithms, on the other hand, enable advanced analysis of 3D data and images. AI for GIS involves applying AI techniques to enhance the capabilities of GIS software. This includes AI attribute collection, AI survey and mapping, AI cartography, and AI interaction. By leveraging AI, GIS software can become more intelligent and efficient in handling data and performing various tasks. GIS for AI refers to the utilization of GIS capabilities in further processing and mining data obtained from AI recognition. By incorporating geographical visualization and spatial analytics, GIS can enhance AI findings and provide decision makers with more intuitive information expression. Examples of GIS for AI applications include traffic flow monitoring, city component management, real-time geo-fence alerts, and vehicle tracking. Prominent companies across industries are strategically investing in AI, particularly machine learning, and leveraging location data to gain competitive advantages. Location analytics is being used for discovering hidden trends, gaining critical insights, and making informed decisions.

Some factors hastening up retting process which are- retting water, retting in already used water, harvesting time, climate conditions like high temperatures, deep water (too deep water will delay retting, addition of chemicals, materials used as weights on Jak, method of retting, variety of jute, method of fiber extraction, stage of harvesting, period of retting, etc. There are few methods of retting available which are- conventional method of whole plant retting, chemical retting, microbial retting, mechano-microbial retting and In-situ retting with microbial consortium. There are three sequential stages in retting (based on the morphological modification, dynamics of pH and various enzymes related to them during the entire jute retting process): Stage 1 (Initial retting stage); Stage 2 (Middle retting stage) and Stage 3 (Final retting stage).

The costal ecosystems information is diverse and large in size and always require regular updates to reflect reality and being effective in analysis.The analysis of these multi-sectorial data to meet decision makers and stakeholders' expectations, there is a need for robust mechanism of analysis and dissemination of the information across all levels.The online geoportal is a technical solution to this challenge to allow the data and information easily accessible and online analyzed to generate services for decision makers and beneficiaries.This paper presents a focus on developing an operational Geoportal for coastal zone management in all north African countries to enable for accessibility of services for Coastal Ecosystems Mapping, Monitoring and Assessment.It is an essential component of the regional project EOOS-NAfCoast" funded from the African Union Commission and European Union Commission.The proposed Geoportal is aimed at providing a unified online platform for institutions and organizations in the Northern Africa countries to work collaboratively and exchange data and information on a regional level with full data protection and security.It will enable us to provide regular services and information to different levels about marine variables such as sea surface temperature, chlorophyll-a, wind and waves.It will also be extended to the coastal ecosystems of fish farms, water quality, coastal geomorphological features as well vulnerability maps of the natural hazards on the coastal socio-economic activities.The proposed services will provide understanding about the available socio-economic opportunities that could be reflected on the economic status and IJAEBS, Volume 4, Issue 3, October 2023, (p.22-32)-

Traditionally fermented pickles are a popular street food in Bangladesh famous for their unique flavors and health benefits. Pickles are often prepared by fermentation using lactic acid bacteria (LAB) that can act as probiotics. The study was aimed to isolate and characterize lactic acid bacteria from pickle samples collected from streets of Dhaka city, as well as assess the microbial quality of pickles for food safety. A total of 30 pickle samples of different kinds were collected from streets of Dhaka city. Isolation and identification were conducted using conventional cultural and biochemical tests, followed by molecular confirmation of identity. Antibiotic susceptibility of isolates was investigated against 7 antibiotics of different groups. Antimicrobial activity of LAB isolates was analyzed by well-diffusion assay and phenotypic enterocin activity assay. Physiological characterizations of LAB were performed to determine their tolerance to temperature, salt, pH, bile, carbohydrate fermentation pattern, proteolytic activity and biofilm formation. Fifty isolates were obtained from pickle samples, of which 18% was identified as LAB, including Enterococcus faecalis (6) and Enterococcus faecium (3). The rest included S. aureus (18), E. coli (11), Klebsiella spp. (5), Salmonella (3), Shigella (3) and Pseudomonas aeruginosa (1). Antibiotic resistance pattern revealed higher occurrence of resistance against azithromycin among the non-LAB isolates, but none of the LAB isolates were found to resist any of the antibiotics used. Antimicrobial activity of LAB isolates was not observed against the foodborne isolates. All LAB isolates fermented a wide range of carbohydrates and showed adequate tolerance to salt, pH, temperature and bile. Out of 9 isolates, 5 displayed proteolytic activity, and 6 were found as strong biofilm producer. These results suggest that although the LAB isolates from street pickles collected from Dhaka does not have antimicrobial activities, they still have potential to be used as probiotics. It also shows high occurrence of antibiotic resistant foodborne pathogens in pickles, indicating that consumption of such street food can be serious health hazard.

The object of this study is the application of basic dyes on jute fabrics at different temperature and fastness analyses of dyed jute fabric. Hessian jute fabric is collected from jute weaving mill then jute fabric is undergone pretreatment process. Pretreated jute fabric is dyed with basic dyes at various shade percentage such as- 5%, 2%, 4%,5% shade variation at different temperature. Then fastness property is analyses by color fastness to wash, color fastness to rubbing, color fastness to light. It showed that at 65oC temperature and 4% shade variation basic dyes gives good color fastness on hessian jute fabrics.

The present research demonstrated that different fiber intimate blends allow the broader use of pineapple leaf fiber for the textile and clothing industries. This fiber is obtained from the leaves of pineapple plants by extraction, carried out to separate the cambium and fiber using a decorticator Machine. The physic-mechanical properties such as bundle strength, whiteness, lustre, linear density, breaking load, breaking extension tenacity, textile modulus were determined as per standard method using different testing machine. There is correlation between length, width and thickness where, if the length is higher than width and thickness also higher. Pineapple (PALF) has tremendous mechanical properties and can be applied in making eco-friendly textile goods. Density of PALF is similar to other natural fibers while Textile modulus is very high, and tensile strength is highest among the related natural fibers. These properties are suitable for its application so this pineapple fibers by blending and mixing with other natural fibers and can be produce various types of cloths.

In this experiment, tea liquor has been prepared by 10% dried tea leaves and boiling time was 5, 10 and 15 minutes. For the determination of antibacterial activity, Salmonella typhi were inoculated on nutrient agar media by spread plate method and tea liquor was poured in the middle of the bacterial inoculated plate. Antibacterial activity was observed where boiling time has affected antibacterial activity. Antibacterial activity of different extracts of jute leaves were evaluated by agar well diffusion method against different pathogenic bacteria viz., Escherichia coli, Pseudomonas aeruginosa, Bacillus cereus etc. Antibacterial activity was found increasing with increased by longer time prepared tea liquor and the highest antibacterial activity of the aqueous extract of jute leaf was observed against E. coli (ZOI=17.0±1.0 mm) followed by Salmonella typhi. Therefore, these results clearly support the traditional use of jute leaf as a broad-spectrum antimicrobial agent against a wide range of microbes.

An investigation had been done to produce quality charcoal at different temperature ranges on a laboratory scale. A proximate analysis had been carried out to determine the percentage of moisture, volatile matter, ash, and fixed carbon in charcoal by standard methods. The jute sticks were carbonized at a range of 250oC to 750oC temperature in an electric muffle furnace. Higher yields, 40-45% were obtained at 250oC, and yields decline (8-10%) with increasing temperature up to 750oC. The yield of charcoal was calculated after the determination of moisture, where the average moisture of jute charcoal is about 9.88%. The carbon purity of jute charcoal is identified from FT-IR analysis. Thermogravimetric analysis revealed that thermal decomposition of the analyzed charcoal occurred in three main phases where the thermal decomposition of the charcoal occurred in the range of 340-550°C where the weight loss was 75% and the rest 1% of inorganic materials become ash.

The increasing proliferation of diseases, with the associated drug resistance, has underscored the need for new drug development. Plant-derived natural products possess diverse pharmacological activities and consequently are an attractive resource for the development of advanced chemotherapeutics to treat a wide range of disease conditions, including microbial infections. Jute leaves rich with active diterpenoids for the potential discovery of new drugs and boost up the immune system. It is commonly used for its anti-inflammatory, antineoplastic, antipyretic, anti-hypertensive, antidiabetic, cytotoxic and antipyretic effects and immune-boosting properties. Therefore, in the search for economically feasible with better efficacy and low toxicity, plant sources are highly prioritized. The present review deals to provide extensive knowledge on the different activities of jute leaves and its extracts based on the available scientific literature.

Jute (Corchorus sp.) leaves may contain lycopene, a strong antioxidant, but amounts in jute leaves are not known. The study was undertaken to estimate the lycopene content in fresh, processed, and preserved jute leaves of the cultivated jute species C. olitorius L. and C. capsularis L. The highest lycopene content was in 45-day-old fresh leaves which gradually decreased with increasing plant age. Among processing methods, leaves soaked in vinegar had the highest lycopene for C. olitorius but in C. capsularis the highest lycopene was in leaves boiled with water and salt for 15 min. All the processing methods led to increased availability of lycopene compared to fresh leaves. Preserved jute leaves retained lycopene following drying and preservation at -20 degrees C. The highest lycopene was from cold dried preserved leaves at 4 degrees C and then air dried leaves at 33-35 degrees C; the lowest lycopene content was from leaves dried in an oven at 100 degrees C. Lycopene content in leaves differed due to plant ages. Lycopene in 45-day-old plant jute leaves was more than doubled compared to fresh red tomatoes. Further evaluation is needed to determine if consumption and digestion affect the available lycopene content in jute leaves available to humans.

The present research was taken to formulate bacterial consortium as whole cell biocatalyst for retting of dry jute ribbons. The bacteria were obtained from different sources of jute retting water, enriched on nutrient broth medium. Microbial consortium was constructed from 7 (seven) selected isolated bacteria to become 7 (seven) combination culture which exhibited remarkable retting efficacy due to the induction of different enzymes activities. The enzymatic as well as biochemical activity of these bacteria were tested. The strains were selected based on the criteria that they were able to display good zone of inhibition. Formulations showed good potential as candidates for microbial consortium. In the two combination treatment with water (5 ml), microbial consortia of (10DTW2b+OMPW4b), (10DTW2b+4DTW7b) and (OMEW4b+10DTW2b) were found better for all the cases. Again, in three combinations treatment with water (5 ml d.H2O), fineness, brightness and smoothness/softness, all were found higher in microbial consortia of (3PRRF5b+4DTF1b+10DTW2b), which is a unique findings. This research is on-going and need to optimize these consortiums with different parameters and also carry out retting analysis.

In this analysis jute cotton blend denims performance at enzyme wash to 35 times respective laundering, in friction and roughness properties where 5 times laundered sample showed smoother surface in both inner and outer surface. In bending properties, 5 times laundered sample was found second lowest Bending Average Rigidity (BAR) and Bending Work (BW). In compression, highest Compression Average Rigidity (CAR), Recovery Average Rigidity(RAR) and less energy requirement Compression work (CW) to compress in both inner and outer surface was found in 5 times laundered sample. In Sensorial Comfort Aspect (SCA), 5 times laundered sample was found smoother surface property, quite higher bending property and higher compression average rigidity. Therefore, 5 times laundered sample was good sensorial comfort among all the samples. In Maximum Thermal Flux (MTF), 20 times laundered sample gives most warm feeling at inner surface because it provides minimum heat flux which ensure warmness in skin-garment micro environment. For thermo physiological comfort aspect, only 20 times repetitive laundered sample found maximum thermo physiological comfort among all samples. Thus, Jute-Cotton blend denims performance at enzyme wash to 35 times repetitive laundering up to 20 times repetitive laundering sample reported good results and the protruding fibre of jute was visible excessively on the surface.

Charcoal is a light-weight black carbon residue produced by strongly heating wood with minimal oxygen to remove all water and volatile constituents. Jute sticks were used as a cheap precursor for the preparation of charcoal and activated carbon. Chemical activation with CaCl2 caused the physicochemical changes in charcoal. Jute sticks were carbonized at a range of 250°C to 750°C temperatures by an electric muffle furnace where 40–45% higher yields were observed at 250°C temperature and yields declined (8–10%) with an increase in temperature up to 500°C. In the case of charcoal, the average moisture was 9.88%. The IR results of charcoal analysis were indicated 3,450 cm-1 for the moisture and 1689.34 cm-1 for carboxyl groups. Ash was obtained at a temperature of 550°C in thermogravimetric analysis. At the first phase (50–340°C) of activated carbon, moisture was released (24% weight loss) because of the activation of activated carbon, which consumes more water than charcoal. The oxidation of carbon occurred in the range of 340–550°C and the remaining 1% of inorganic materials became ash. Food and beverage processing, snow avalanche control, municipal drinking water, industrial pollution control, radio wave capture, methane solvent recovery, odor remover, metal purification, and sewage treatment will all benefit from this activated carbon. The properties of the final materials obtained after pyrolyzing at 700°C can be a suitable approach.

In the present study five generations viz. P1, P2, F1, F2 and F3 of chickpea were taken for the analysis of non-allelic interaction considering five yield and yield contributing characters like as date of first flower (DFF), number of primary branches at first flower (NPBFF), plant height at first flower (PHFF), number of pods per plant (NPd/P) and number of seeds per plant (NS/P). At first Mather’s scaling test was done where scales C and D found to be significant and non-significant for all the traits, respectively. Potence was non-significant for all the characters, which revealed that there was no dominance. In the Cavalli’s joint scaling test, the χ2 values were found to be significant for all the characters, which confirm that additive-dominance model was inadequate and except additive and dominance effects there are other effects like non-allelic interaction, linkage, genotype × environment (G×E) interaction etc. are involved either individually or in combination in the inheritance of the studied traits.

The study emphasis on development of jute-cotton blended products and its sustainability. The jute cotton blends products not only reduces the excessive demand of cotton but also jute cotton blends products are eco-friendly which helps to reduce dependency of synthetic products that’s are harmful for environment. In this study jute cotton blended yarn is collected from jute product diversified center from BJRI then jute cotton blended yarn is transferred to weaving and knitting department to turn this yarn to woven and knit jute cotton blend fabrics. After that different physical property was measured to analysis the sustainability of these jute cotton blended products. It’s identified that jute cotton blend fabric has great impact to replace the excessive demand of cotton and the products quality of jute cotton blend fabrics is so good to make impact on market.