Evaluating and optimizing NBR-modified bituminous mixes: a rheological and RSM-based study.

Bitumen shows visco-elastic behavior, exhibiting both elastic and viscous properties as predicted by dynamic response and phase angle. Modern asphalt bituminous pavements face issues such as early-stage fatigue cracks, rutting, and permanent deformations due to low-temperature cracking, high-temperature deformation, moisture susceptibility, and overloading. These pavement distresses result in the formation of potholes, alligator cracks, and various deformations, which accelerate the need for rehabilitation and maintenance. To address these concerns, this study focused on utilizing Nitrile Butadiene Rubber derived from surgical gloves as an additive in conventional asphalt pavements to assess its effect on stiffness. Nitrile Butadiene Rubber was added in intervals of 2%, 4%, 6%, and 8% to conventional bituminous pavement. The rheological properties, marshall properties, dynamic modulus, and phase angle were evaluated for varying percentages of Nitrile Butadiene Rubber at different temperature, and frequency. The dynamic response was determined using a simple performance tester at four different temperatures (4.4 °C, 21.1 °C, 37.8 °C, and 54.4 °C) and six different frequencies (0.1, 0.5, 1, 5, 10, and 25 Hz). Response surface methodology was employed to establish a relationship between input and output variables and to optimize the amount of Nitrile Butadiene Rubber in the mix based on dynamic modulus and phase angle. The study concluded that adding up to 6% of Nitrile Butadiene Rubber improved Marshall stability, while higher percentages led to reduced stability. A similar trend was observed in the dynamic modulus, which peaked with the addition of 6% Nitrile Butadiene Rubber, regardless of frequency and temperature. The response surface methodology model indicated that coupling the percentage of Nitrile Butadiene Rubber with frequency increased the dynamic modulus at a constant temperature, with the highest value occurring at 4.4 °C. However, the dynamic modulus decreased as the temperature rose for the same combinations of Nitrile Butadiene Rubber percentages and frequencies. Numerical optimization suggested that a maximum of 5.9% Nitrile Butadiene Rubber should be added to achieve the highest dynamic modulus and lowest phase angle.

Advances and challenges in non-targeted analysis: An insight into sample preparation and detection by liquid chromatography-mass spectrometry.

Unknown impurities, metabolites and harmful pollutants present in pharmaceutical products, biological and environmental samples, respectively are of high concern in terms of their detection and quantification. The targeted analysis aims to quantify known chemical entities, but it lacks the ability to identify unknown components present in a sample. Non-targeted analysis is an analytical approach that can be made applicable to various disciplines of science to effectively search for unknown chemical, biological, or environmental entities that can answer various baffling mysteries of research. It employs various high-end analytical techniques that can specifically screen out multiple unknown compounds from complex mixtures. Non-targeted analysis is also applicable for complex studies such as metabolomics to search unidentified metabolites of new chemical entities. This review critically discusses the current advancements in non-targeted analysis related to the analysis of pharmaceutical, biological, and environmental samples. Various steps like sample collection, handling, preparation, extraction, its analysis using advanced techniques like high-resolution mass spectrometry, liquid chromatography mass spectrometry, and lastly interpretation of the huge amounts of complex data obtained upon analysis of complex matrices have been discussed broadly in this article. Besides the advantages of non-targeted analysis over targeted analysis, limitations, bioinformatics tools, sources of error, and research gaps have been critically analyzed.

Living donor liver transplantation for hepatocellular carcinoma using expanded criteria and alpha-fetoprotein threshold of 1000 ng/mL.

BACKGROUND: New guidelines propose a minimum 5-year survival of 60% for hepatocellular carcinoma (HCC) with living donor liver transplantation (LDLT). This study aimed to evaluate the 5- and 10-year survival rates after transplantation for the expanded criteria for HCC. METHODS: This single-center retrospective cohort study included 208 patients who underwent LDLT for the expanded criteria (the largest tumor diameter of ≤10 cm, any tumor number, and alpha-fetoprotein [AFP] level of <1000 ng/mL) and analyzed 5- and 10-year overall survival (OS) and recurrence risk (RR) rates. RESULTS: With a median follow-up of 65.1 months (IQR, 19.1-80.2), the 5- and 10-year OS and RR rates were 67.0% and 61.0% and 20.5% and 22.5%, respectively. The largest tumor diameter of >6 cm (hazard ratio [HR], 3.7; 95% CI, 1.7-8.2; P = .001) and AFP level of >400 ng/mL (HR, 4.0; 95% CI, 1.8-9.0; P = .001) were predictors of recurrence. Patients outside the Milan criteria (MC) were grouped into low- and high-risk HCC based on tumor size and AFP level. For low-risk HCC (tumor size of <6 cm, any tumor number, and AFP level of <400 ng/mL), the 5-year RR was comparable to the MC and increased the transplant pool by 35.7% (P > .5). The median number of tumors and the rate of microvascular invasion in the high-risk group, low-risk group, and MC were 2.0 (1.0-3.2), 4.0 (2.0-5.0), and 1.0 (1.0-2.0) (P < .001) and 72.2% (13/18), 44.0% (22/50), and 22.8% (32/140) (P < .001), respectively. CONCLUSION: The expanded criteria met the benchmark for 5-year survival. LDLT for the low-risk HCC in the expanded criteria was associated with an acceptable RR.

Impact of Renal Replacement Therapy on Outcomes of Living Donor Liver Transplantation for Acute Liver Failure: A Cohort Study.

Despite the promising role of renal replacement therapy (RRT) in acute liver failure (ALF), high-risk patients need liver transplantation and remain at risk for death due to cerebral complications. The objective of this study was to report outcomes of living donor liver transplantation (LDLT) for ALF with perioperative RRT. This was a single-center retrospective cohort study. Out of 1167 LDLTs, 24 patients had ALF and met the King's College criteria for transplantation. They were categorized into no-RRT (n = 13) and RRT (n = 11) groups. We looked at 1-year posttransplant survival in these patients. The median serum ammonia level at the time of transplant in the no-RRT and RRT groups was 259.5 mcg/dL (222.7-398) and 70.6 mcg/dL (58.1-92.6) (p = 0.005). In the RRT group, serum ammonia level < 100 mcg/dL was achieved in all patients. Seven (53.8%) patients in the no-RRT group and 11/11 (100%) in the RRT group were extubated and regained full consciousness after LDLT (p = 0.013). The 90-day mortality was 6/13 (46.1%) and 2/11 (18.1%) (p = 0.211). There was no brainstem herniation-related mortality in the RRT group, that is, 5/13 (38.4%) and 0/11 (0%) (p = 0.030). The 1-year posttransplant survival was also significantly higher in the RRT group (p = 0.031). The use of RRT lowers serum ammonia levels and might reduce posttransplant mortality due to brainstem herniation.

Genome-wide identification, and gene expression analysis of NBS-LRR domain containing R genes in Chenopodium quinoa for unveiling the dynamic contribution in plant immunity against Cercospora cf. chenopodii.

The plant R genes encode the NLR proteins comprising nucleotide-binding sites (NBS) and variable-length C-terminal leucine-rich repeat domains. The proteins act as intracellular immune receptors and recognize effector proteins of phytopathogens, which convene virulence. Among stresses, diseases contribute majorly to yield loss in crop plants, and R genes confer disease resistance against phytopathogens. We investigated the NLRome of Chenopodium quinoa for intraspecific diversity, characterization, and contribution to immune response regulation against phytopathogens. One eighty-three NBS proteins were identified and grouped into four distinct classes. Exon-intron organization displayed discrimination in gene structure patterns among NLR proteins. Thirty-eight NBS proteins revealed ontology with defense response, ADP binding, and inter alia cellular components. These proteins had shown functional homology with disease-resistance proteins involved in the plant-pathogen interaction pathway. Likewise, expression analysis demonstrated that NLRs encoding genes showed differential expression patterns. However, most genes displayed high expression levels in plant defense response with varying magnitude compared to ADP binding and cellular components. Twenty-four NBS genes were selected based on Heatmap analysis for quantitative polymerase chain reaction under Cercospora disease stress, and their progressive expression pattern provides insights into their functional role under stress conditions. The protein-protein interaction analysis revealed functional enrichment of NLR proteins in regulating hypersensitive, immune, and stress responses. This study, the first to identify and characterize NBS genes in C. quinoa, reveals their contribution to disease response and divulges their dynamic involvement in inducing plant immunity against phytopathogens. Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-024-01475-0.

An Update on Current Trend in Sample Preparation Automation in Bioanalysis: strategies, Challenges and Future Direction.

Automation in sample preparation improves accuracy, productivity, and precision in bioanalysis. Moreover, it reduces resource consumption for repetitive procedures. Automated sample analysis allows uninterrupted handling of large volumes of biological samples originating from preclinical and clinical studies. Automation significantly helps in management of complex testing methods where generation of large volumes of data is required for process monitoring. Compared to traditional sample preparation processes, automated procedures reduce associated expenses and manual error, facilitate laboratory transfers, enhance data quality, and better protect the health of analysts. Automated sample preparation techniques based on robotics potentially increase the throughput of bioanalytical laboratories. Robotic liquid handler, an automated sample preparation system built on a robotic technique ensures optimal laboratory output while saving expensive solvents, manpower, and time. Nowadays, most of the traditional extraction processes are being automated using several formats of online techniques. This review covered most of the automated sample preparation techniques reported till date, which accelerated and simplified the sample preparation procedure for bioanalytical sample analysis. This article critically analyzed different developmental aspects of automated sample preparation techniques based on robotics as well as conventional sample preparation methods that are accelerated using automated technologies.

Environmental policy stringency, ICT, and technological innovation for achieving sustainable development: Assessing the importance of governance and infrastructure.

Achieving sustainable development goals (SDGs) has garnered significant attention from academia and policymakers worldwide. In this study, we examine the impact of ICT, technological innovation (TI), and environmental policy stringency (EPS) on SDI, considering the moderating role of governance quality (GQI) and transport infrastructure (TIS). A comprehensive dataset of 17 advanced nations is utilized from 1996 to 2021. To capture the dynamic and extreme marginal impacts of these policy instruments on SDG attainment, we employ the advanced technique of Feasible Generalized Least Square (FGLS). The results demonstrate that ICT has a positive and significant effect on SDGs, particularly when combined with high levels of governance quality (GOV) and transport infrastructure (TIS). Likewise, TI has a positive impact on SDGs, especially in the presence of strong governance. Furthermore, EPS exhibits a positive association with SDGs. The findings also reveal that while governance hurts SDGs, this effect diminishes when combined with higher levels of ICT, TI, and EPS, and when TIS positively moderates the relationships. The robustness estimations using DOLS and PCSE methods validate the FGLS findings. These results underscore the importance of ICT, TI, and EPS in advancing sustainable development. Moreover, they highlight the significance of good governance and robust transport infrastructure in maximizing the positive effects of these factors. These findings hold implications for policymakers and stakeholders involved in promoting sustainable development.

Sculpting conducting nanopore size and shape through de novo protein design.

Transmembrane ß-barrels have considerable potential for a broad range of sensing applications. Current engineering approaches for nanopore sensors are limited to naturally occurring channels, which provide suboptimal starting points. By contrast, de novo protein design can in principle create an unlimited number of new nanopores with any desired properties. Here we describe a general approach to designing transmembrane ß-barrel pores with different diameters and pore geometries. Nuclear magnetic resonance and crystallographic characterization show that the designs are stably folded with structures resembling those of the design models. The designs have distinct conductances that correlate with their pore diameter, ranging from 110 picosiemens (~0.5 nanometer pore diameter) to 430 picosiemens (~1.1 nanometer pore diameter). Our approach opens the door to the custom design of transmembrane nanopores for sensing and sequencing applications.

Development of 2400-2450 MHz Frequency Band RF Energy Harvesting System for Low-Power Device Operation.

Recently, there has been an increasing fascination for employing radio frequency (RF) energy harvesting techniques to energize various low-power devices by harnessing the ambient RF energy in the surroundings. This work outlines a novel advancement in RF energy harvesting (RFEH) technology, intending to power portable gadgets with minimal operating power demands. A high-gain receiver microstrip patch antenna was designed and tested to capture ambient RF residue, operating at 2450 MHz. Similarly, a two-stage Dickson voltage booster was developed and employed with the RFEH to transform the received RF signals into useful DC voltage signals. Additionally, an LC series circuit was utilized to ensure impedance matching between the antenna and rectifier, facilitating the extraction of maximum power from the developed prototype. The findings indicate that the developed rectifier attained a peak power conversion efficiency (PCE) of 64% when operating at an input power level of 0 dBm. During experimentation, the voltage booster demonstrated its capability to rectify a minimum input AC signal of only 50 mV, yielding a corresponding 180 mV output DC signal. Moreover, the maximum power of 4.60 µW was achieved when subjected to an input AC signal of 1500 mV with a load resistance of 470 kΩ. Finally, the devised RFEH was also tested in an open environment, receiving signals from Wi-Fi modems positioned at varying distances for evaluation.

Haemophagocytic lymphohistiocytosis secondary to Epstein-Barr and cytomegalovirus coinfection.

Haemophagocytic lymphohistiocytosis (HLH) is a rare and life-threatening disorder caused by uncontrolled activation of the immune system, leading to phagocytosis of blood cells and cytokine storm. HLH can manifest in childhood due to a genetic mutation, but in adults HLH arises secondary to viral infections, autoimmune diseases or neoplastic processes. The most common viral infections associated with HLH are Epstein-Barr virus (EBV) and cytomegalovirus (CMV). EBV and CMV coinfection associated with HLH, however, is exceedingly rare. We present a case of HLH secondary to EBV and CMV coinfection in a young adult who presented with recurrent intermittent high-grade fevers and epistaxis. This case illustrates the importance of considering HLH in patients with idiopathic fevers and to consider all the potential aetiologies for HLH to ensure proper treatment.

Genetic substructure and host-specific natural selection trend across vaccine-candidate ORF-2 capsid protein of hepatitis-E virus.

Hepatitis E virus is a primary cause of acute hepatitis worldwide. The present study attempts to assess the genetic variability and evolutionary divergence among HEV genotypes. A vaccine promising capsid-protein coding ORF-2 gene sequences of HEV was evaluated using phylogenetics, model-based population genetic methods and principal component analysis. The analyses unveiled nine distinct clusters as subpopulations for six HEV genotypes. HEV-3 genotype samples stratified into four different subgroups, while HEV-4 stratified into three additional subclusters. Rabbit-infectious HEV-3ra samples constitute a distinct cluster. Pairwise analysis identified marked genetic distinction of HEV-4c and HEV-4i subgenotypes compared to other genotypes. Numerous admixed, inter and intragenotype recombinant strains were detected. The MEME method identified several ORF-2 codon sites under positive selection. Some selection signatures lead to amino acid substitutions within ORF-2, resulting in altered physicochemical features. Moreover, a pattern of host-specific adaptive signatures was identified among HEV genotypes. The analyses conclusively depict that recombination and episodic positive selection events have shaped the observed genetic diversity among different HEV genotypes. The significant genetic diversity and stratification of HEV-3 and HEV-4 genotypes into subgroups, as identified in the current study, are noteworthy and may have implications for the efficacy of anti-HEV vaccines.

Long-term medical and quality of life outcomes among voluntary liver donors.

BACKGROUND: Long-term medical and quality of life (QOL) outcomes in voluntary liver donors remain under investigated. The objective of the current study was to report long-term medical outcomes and re-evaluate QOL in living liver donors. METHODS: This was a single-center retrospective cohort study of donors who underwent donor hepatectomy between 2012 and 2018. We investigated long-term outcomes in 7 domains. These include medical problems, surgical procedures, work-related issues, pregnancy outcomes, psychiatric interventions, willingness to donate again, and long-term mortality. QOL was evaluated using short-form 36. RESULTS: The median follow-up time was 61.4 months (53.3-83.7). Among 698 donors, 80 (11.5%) experienced medical problems, 4 (0.6%) had work-related issues, and 20 (2.9%) needed psychiatric assistance. Surgery was performed in 49 donors (7%), and females were more likely to have undergone incisional hernia repair (5.8% vs 1.9%, P = .006). There were 79 postdonation pregnancies including 41 normal vaginal deliveries (51.9%), 35 cesarean sections (44.3%), and 3 miscarriages (3.8%). Willingness to donate again was reported by 658 donors (94.3%). Donors whose recipients were alive were more likely to donate again (95.5% vs 90.5%, P = .01). There were 3 deaths (0.4%) in the long-term. The mean physical composite score at initial and follow-up evaluation was 86.7 ± 13.9 and 76.5 ± 20.9 (P = .001), and the mean mental composite score at initial and follow-up evaluation was 92.1 ± 13.5 and 80.7 ± 16 (P = .001). CONCLUSION: The overall long-term outlook in living liver donors is promising. QOL parameters might deteriorate over time and frequent re-evaluation might be considered.

Empirical phenotyping and genome-wide association study reveal the association of panicle architecture with yield in Chenopodium quinoa.

Chenopodium quinoa manifests adaptability to grow under varying agro-climatic scenarios. Assessing quinoa germplasm's phenotypic and genetic variability is a prerequisite for introducing it as a potential candidate in cropping systems. Adaptability is the basic outcome of ecological genomics of crop plants. Adaptive variation predicted with a genome-wide association study provides a valuable basis for marker-assisted breeding. Hence, a panel of 72 quinoa plants was phenotyped for agro morphological attributes and association-mapping for distinct imperative agronomic traits. Inter simple sequence repeat (ISSR) markers were employed to assess genetic relatedness and population structure. Heatmap analysis showed three genotypes were early maturing, and six genotypes were attributed for highest yield. The SD-121-07 exhibited highest yield per plant possessing green, glomerulate shaped, compact density panicle with less leaves. However, SJrecm-03 yielded less exhibiting pink, intermediate shape, intermediate density panicles with less leaves. The phenotyping revealed strong correlation of panicle architecture with yield in quinoa. A genome-wide association study unraveled the associations between ISSR makers and agro-morphological traits. Mixed linear modes analysis yielded nine markers associated with eight traits at p ≤ 0.01. Moreover, ISSR markers significantly associated with panicle shape and leafiness were also associated with yield per plant. These findings contribute to the provision of authenticity for marker-assisted selection that ultimately would support quinoa breeding programs.

Discovery and development of COVID-19 vaccines and therapeutics: nonclinical perspectives.

The development and regulatory review of BNT162b2, a COVID-19 vaccine, and PaxlovidTM (nirmatrelvir tablets/ritonavir tablets), a COVID-19 therapeutic, are benchmarks for accelerated innovation during a global pandemic. Rapid choice of the SARS-CoV-2 spike protein and main protease (Mpro) as targets for the vaccine and therapeutic, respectively, leveraged the available knowledge of the biology of SARS-CoV-2 and related viruses. The nonclinical immunogenicity and safety of BNT162b2 was rigorously assessed. Likewise, a comprehensive nonclinical safety assessment was conducted for the therapeutic candidates, lufotrelvir (PF-07304814) and nirmatrelvir (PF-07321332). The development and regulatory review of BNT162b2 and Paxlovid was enabled through close collaboration of the pharmaceutical industry with regulatory agencies and public health organizations. This experience highlights approaches that could be adopted for pandemic preparedness including risk-based investment strategies, conduct of activities in parallel that normally are conducted sequentially, quick kill decisions, simultaneous evaluation of multiple candidates, and use of flexible, established vaccine platforms.

Rural households' livelihood adaptation strategies in the face of changing climate: A case study from Pakistan.

Rural and agricultural communities' adaptation to climate change has gained significant attention owing to many countries' vulnerability to climate change risks. A similar trend has been witnessed in South Asia, a highly climate-vulnerable region, where research has grown dramatically considering the agriculture sector's vulnerability to climate-induced disasters. However, little attention has been paid to the adaptation of the livelihoods of rural households. This research, therefore, takes the case of Pakistan to explore livelihood adaptation strategies of rural households to climate change and investigate the factors that expedite or halt the adoption of livelihood diversification strategies. A multistage sampling design is used in this research, where 480 rural households from the Punjab province of Pakistan were selected and interviewed using stratified and random sampling approaches. A multivariate probit (MVP) regression model is employed to analyze the factors affecting households' adoption of livelihood adaptation strategies. The results show that besides adaptation of agronomic operations (agricultural adaptation strategies), rural households in the study area employed a wide range of strategies to adapt their livelihoods to climate change. These strategies include poultry and livestock farming, value addition of farm produce, trading of animals and farm commodities, small businesses (shops, etc.), daily wage labor, horticultural crop farming, and non-farming jobs. The estimates of the MVP model revealed that respondents' education, household size, income, access to a credit facility, access to farm advisory services, and access to climate forecasts have significantly influenced the choice of livelihood adaptation strategies. Based on these findings, this research recommends that the authorities should make efforts to improve farmers' understanding of the adaptation of climate change risks and educate them to adopt multiple livelihood options to improve the resilience of their livelihoods to climate-induced risks. This research has important policy implications for other countries with similar socio-economic features.

Technological Advancement and Trend in Selective Bioanalytical Sample Extraction through State of the Art 3-D Printing Techniques Aiming 'Sorbent Customization as per need'.

The inherent complexity of biological matrices and presence of several interfering substances in biological samples make them unsuitable for direct analysis. An effective sample preparation technique assists in analyte enrichment, improving selectivity and sensitivity of bioanalytical method. Because of several key benefits of employing 3D printed sorbent in sample extraction, it has recently gained popularity across a variety of industries. Applications for 3D printing in the field of bioanalytical research have grown recently, particularly in the areas of miniaturization, (bio)sensing, sample preparation, and separation sciences. Due to the high expense of the solid phase microextraction cartridge, researcher approaches in-lab production of sorbent material for the extraction of analyte from biological samples. Owing to its distinct advantages such as low costs, automation capabilities, capacity to produce products in a variety of shapes, and reduction of tedious steps of sample preparation, 3D printed sorbents are gaining increased attention in the field of bioanalysis. It is also reported to offer high selectivity and assist in achieving a much lower limit of detection. In this review, we have discussed current advancements in different types of 3D printed sorbents, production methods, and their applications in the field of bioanalytical sample preparation.

RF energy harvesters for wireless sensors, state of the art, future prospects and challenges: a review.

The power consumption of portable gadgets, implantable medical devices (IMDs) and wireless sensor nodes (WSNs) has reduced significantly with the ongoing progression in low-power electronics and the swift advancement in nano and microfabrication. Energy harvesting techniques that extract and convert ambient energy into electrical power have been favored to operate such low-power devices as an alternative to batteries. Due to the expanded availability of radio frequency (RF) energy residue in the surroundings, radio frequency energy harvesters (RFEHs) for low-power devices have garnered notable attention in recent times. This work establishes a review study of RFEHs developed for the utilization of low-power devices. From the modest single band to the complex multiband circuitry, the work reviews state of the art of required circuitry for RFEH that contains a receiving antenna, impedance matching circuit, and an AC-DC rectifier. Furthermore, the advantages and disadvantages associated with various circuit architectures are comprehensively discussed. Moreover, the reported receiving antenna, impedance matching circuit, and an AC-DC rectifier are also compared to draw conclusions towards their implementations in RFEHs for sensors and biomedical devices applications.

Reconstruction of soft tissue defects of hand: A systematic approach.

Background and Objective: A thorough insight into the management of hand injuries can shape the approach of a surgeon in order to achieve optimal outcomes for the patients. The aim of this study was to share our experience in reconstruction of the hand and establishing an algorithm for classification and treatment of hand injuries. Methods: This is a descriptive cross sectional study and was conducted from January 2020 to August 2022 at Burns and Plastic Surgery center, Peshawar. Data was collected from medical records about the patient demographics, mechanism of injury and type of procedures done. Defect size was classified into small (<5cm), medium (5cm to 10 cm) and large (>10cm). The defect site and size was cross tabulated against the method of soft tissue reconstruction in order to make the algorithm for reconstruction of hand injuries. Data was analyzed using SPSS. Results: The study population included 41 (75.9%) male and 13 (24.1%) female patients, mean age 31.56±14.1. Machine injuries (33.3%) and electric burns (24.1%) were the most common cause of hand soft tissue defects. The most commonly performed flap was Posterior introsseous artery (PIA) flap, followed by First dorsal metacarpal artery (FDMA) flap. Flap necrosis was observed in three cases (5.6%). Conclusion: This treatment algorithm for coverage of soft tissue defects in hand injuries will help with the decision making process of hand reconstruction and has didactic value for novice surgeons. It will also form the foundation for further work on this aspect of hand injuries.

Synthesis and analysis of silica nanocarriers for pectinase immobilization: Enhancing enzymatic stability for continuous industrial applications.

Pectinolytic enzymes are among the important group of industrial enzymes that have wide applications in different food industries. In this study, pectinase-based silica nanocarriers were synthesized using co-precipitation and cross-linking techniques. The resulting silica nanoparticles were investigated using scanning electron microscopy (SEM), energy-dispersive electron microscopy (EDEX), and X-ray diffraction (XRD) for determination of its morphology, elemental composition, and crystalline pattern. Under the optimal immobilization conditions like 1.5 % glutaraldehyde, 3000 IU/mg pectinase concentration, 90 min immobilization time and 40 °C immobilization temperature, pectinase showed maximum immobilization yield. The immobilization of pectinase onto the silica nanocarriers led to enhanced catalytic characteristics, displaying higher enzymatic activity across various temperature and pH levels compared to soluble pectinase. Moreover, the immobilization substantially improved the temperature stability of pectinase, exhibiting 100 % of its initial activity even after 120 h of pre-incubation at 50 °C. Additionally, the silica nanocarrier pectinase retained 100 % of its original activity even after being reused 10 times in a single batch of reactions. These findings indicate that the immobilization of silica nanocarriers effectively enhances pectinase's industrial capabilities, making it economically feasible for industrial use and an efficient system for various biotechnological applications.