Research Work Research Articles

Enhancing the efficacy of cisplatin against breast cancer cells using carnosine‐functionalized magnetic nanoparticles

The majorities of chemotherapy drugs and drug‐delivery models have significant health concerns and cause undesirable side effects because they lack specificity and proper targeting systems and are too large. It is crucial to prioritize the rational design and synthesis of chemotherapeutics that specifically target their intended sites. This research work aims to create magnetic nanocarriers conjugated with L‐carnosine (CAR) as a cancer‐targeting peptide for the development of targeted anticancer drugs. These nanoparticles are designed to reduce toxicity, allow for sustained release, and increase the circulating time of cisplatin. The nanoparticles were made by coating them with silane and an aldehyde linker, which allowed them to be attached to L‐carnosine peptide. Cisplatin was then attached to the surface of the nanoparticles via chemical bonds. The prepared nanoparticles were characterized using vibrating sample magnetometer, dynamic light scattering, and scanning electron microscopy and FT‐IR spectrophotometry. In vitro studies demonstrated the cytotoxic and inhibitory effects of cisplatin nanoconjugates on breast cancer cells. Significantly, the nanoconjugates showed higher potency compared to free cisplatin. In continuous study, the optimization of synthesized compounds was performed using the DMol3 module in Materials Studio 2017. Energy calculations and molecular docking analysis using the HEX software revealed that the nanoconjugates showed stronger binding to the minor and major grooves of the DNA receptor. These interactions involved eight hydrogen bonds, exceeding those of other compounds.

State and exploitation of commercial fish stocks in the Russian part of the Baltic Sea, Curonian, Kaliningrad and Finnish Gulfs

The aim of this article: to assess the condition and level of exploitation of commercial fish species in the Russian parts of the Baltic Sea (including the Gulf of Finland), the Curonian and Kaliningrad (Vistula) Lagoons.Methods used: the stocks of commercial fish species in the Baltic Sea and its bays are transboundary. For several decades, as part of the international regulation of fisheries in the Baltic Sea, scientific cooperation has been carried out between the countries of the European Union and the Russian Federation at the International Council for the Exploration of the Sea (ICES). During the period from 1992 to the present, AtlantNIRO has organized and carried out a significant amount of comprehensive research work in the Baltic Sea. In total, more than 70 hydroacoustic, bottom and environmental surveys were completed. Long-term (more than 60 years) studies of aquatic biological resources of commercial fish species are also carried out in the Curonian and Kaliningrad (Vistula) Lagoons. For many years, scientific cooperation has been carried out on the study of the bays with the Lithuanian and Polish republics, respectively.Novelty: in the modern period, analysis of research on the state and exploitation of stocks of commercial fish species in the Russian part of the Baltic is carried out for the first time.Result: the volume of production of aquatic biological resources (ABR) in the Baltic Sea has currently reached an “extreme high point”, and a slight decrease should be expected in the near future. In the Curonian and Kaliningrad (Vistula) Lagoons, the condition of the stocks of the main commercial fish is satisfactory, which allows for stable production of aquatic fish.Practical significance: in modern conditions, information on the state of fish stocks in the region will allow solving problems of managing these resources, including planning for the near future the possible volumes of their production by fishing organizations.

Application of logistic regression model on the spread of malaria infection in Calabar municipality (A case study of university of Calabar teaching hospital)

Background: The malaria disease is the outcome of the interaction among three elements which includes; man, mosquito and the parasite. The intensity of the disease is being regulated by the physical and socio-economic determinant in the area which interact with these elements. The physical conditions of the region determine the growth and proliferation of mosquito and parasite, while the socio-economic conditions of the people determine the distribution of mosquito and parasites. This piece of research work has been devoted to the study of vector species (Plasmodium), spatial-temporal incidence pattern of malaria i.e parasite load, physical and socio-economic determinants responsible for the spread of mosquito and parasites, control measures and risk factor assessment. The favourable explanatory variables considered in the prediction of malaria prevalence such as age group, gender, blood group and genotype presents suitable conditions to determine the validity of malaria prevalence across the metropolis which as well substantially contributed and facilitate the growth and diffusion of malarial incidence in Calabar Municipality. The data obtained was initially entered in Microsoft Excel (2016) and checked for errors after which it was exported to IBM SPSS Statistics 23 software for logistic regression analysis. The metropolis records high incidence of malaria. The predominant parasite plasmodium falciparum is considered vital for causing considerable morbidity and mortality in the area. From our analysis, it is observed that fifty nine of our patients were malaria negative and one hundred and one patients were malaria positive. The model predicted in respect to gender that seventy four percent of female population were malaria positive likewise the male gender predicted at eighty percent to be malaria positive.

Analysis of Compressive Strength of Sustainable Fibre Reinforced Foamed Concrete Using Machine Learning Techniques

Abstract This study emphasizes the usage of Silica Fume (SF) and Marble Sludge Powder (MSP) as a partial replacement for fly ash in Fibre Reinforced Foamed Concrete (FRFC). The compressive strength for various samples was analyzed using Artificial Neural Network (ANN) methods. In this research work, the utilization of silica fume, fly ash, marble sludge powder, polypropylene fiber, and foaming agent in fiber-reinforced foamed concrete is presented and a sincere attempt has been made to use silica fume and marble sludge powder for the replacement of fly ash with various percentages. In addition to that polypropylene fiber (PPF) was used in various proportions of 0%, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%. The Feed Forward Propagation (FFP) network of the machine learning method with one hidden layer was taken as the ANN structure of FRFC. In this ANN work, cement, silica fume, fly ash, marble sludge powder, foaming agent, water, and polypropylene fiber were used as input parameters and compressive strength is the output parameter. The correlation coefficient with the ANN methods was found as 0.940 for compressive strength. In machine learning techniques, the ANN method was found to be accurate in estimating and analyzing strength prediction responses with effective parameters.

Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans

Harmful algal blooms cause environmental harm, financial losses, and disease epidemics. It is also known that the algal blooms cannot be eradicated; hence the best option is to foresee their growth and regulate it. Machine learning algorithms can be used to forecast their presence and further classify the threat that each concentration level presents. In this research work, the dataset collected from Santa Monica, US region is analyzed and processed to predict algae concentration using machine learning algorithms. In this process, the machine learning models such as multiple linear regression, Regression Gradient Boosting Decision Tree (RGBDT), and Hidden Markov Model (HMM) are applied to predict the chlorophyll (Chl-a) content, which serves as a proxy for the presence of algae in the water. The obtained results show that for prediction, the Multilinear regression model outperforms the RGBDT (Regression Gradient Boosting Decision Tree) algorithm. Similarly, for modeling chlorophyll using HMM (Hidden Markov Model), parameter bbp555.00_sd is the best among parameters like aot443.00_sd, kd490.00_sd, poc_sd and pic_sd. The multiple linear regression model gave an adjusted R-squared error of 0.94 with the parameter pic_sd having the least VIF value of 1.78 followed by aot and bbp which have VIF<5 (2.28 and 4.95 respectively). The outcome of the HMM-based model represents the probability of the presence of chlorophyll given the presence of each of the variables individually. From the results, it is observed that bbp has the highest probability of 0.405 implying that there is a 40% chance of chlorophyll in the presence of bbp.

UHD Database Focus on Smart Cities and Smart Transport

“Smart city” refers to a modern solution to organizing a city’s services, using cloud technologies to collect and evaluate large amounts of data, including data from camera systems. Smart city management covers several areas that can be implemented separately, but only their combination can realize the overall desired smart city function. One of the core areas of smart city automation is smart city transport. Transportation is a crucial system in any city, and this is why it needs to be monitored. The primary objective of this publication is to generate top-notch 4K UHD video sequences that are solely dedicated to showcasing smart cities and their transportation systems. The resulting comprehensive database will be made accessible to all professionals in the field, who can utilize it for extensive research purposes. Additionally, all the reference video sequences will be transcoded into various quality settings by altering critical parameters like the resolution, compression standard, and bit rate. The ultimate aim is to determine the best combination of video parameters and their respective settings based on the measured values. This in-depth evaluation will ensure that each video sequence is of the highest quality and provides an unparalleled experience for the service providers offering the service. The video sequences captured will be analyzed for quality assessments in smart cities or smart transport technologies. The database will also include objective and subjective ratings, along with information about the dynamics determined by spatial and temporal information. This will enable a comparison of the subjective evaluation of a selected sample of our respondents with the work of other researchers, who may evaluate it with a different sample of evaluators. The assumption of our future research is to predict the subjective quality based on the type of sequence determined by its dynamicity.

Occupational injustice across species

ABSTRACT COVID-19 and the prospect of a sixth mass extinction, among other crises, have underscored the urgency of recognizing humans' ethical and ecological entanglements with the more-than-human world. In light of these entanglements, this article brings together theories of occupational justice with those of animal rights in order to stimulate further discussion toward the development of a multispecies theory of occupational justice. First, a precedent and basis for nonhuman occupational rights is established in Martha Nussbaum’s capabilities approach. Second, Sue Donaldson and Will Kymlicka’s political theory of animal rights is invoked as a lens through which to understand how various types of nonhuman animals are differentially at risk for experiencing four occupational injustices: occupational deprivation, alienation, displacement, and apartheid. The article concludes that a commitment to multispecies occupational justice changes how science is practiced. Implications for occupational science and adjacent design sciences are explored, as well as directions for future research and political work.

Examining the integrated model of the interpersonal-psychological theory of suicide and intersectionality theory among Black male adolescents.

Guided by Opara etal.'s (2022), Integrated Model of the Interpersonal Psychological Theory of Suicide and Intersectionality Theory, the current study examined contextual stressors experienced disparately by Black youth (racial discrimination, poverty, and community violence) as moderators of the association between individual motivating factors for suicidal thoughts and behaviors (perceived burdensomeness, thwarted belongingness, and hopelessness) and active suicidal ideation. Participants were 457 Black adolescent boys (mean age = 15.31, SD = 1.26) who completed self-report surveys. As predicted, the association between perceived burdensomeness and active suicidal ideation was significantly moderated by economic stress. In addition, the association between peer belongingness and suicidal ideation was significantly moderated by racial discrimination, but there were no moderating effects for school belongingness. Finally, the association between hopelessness and suicidal ideation was significantly moderated by both racial discrimination and witnessing community violence. These findings highlight the need for research, interventions, and policy work devoted to using integrated approaches of individual and socioeconomically relevant patterns of suicidal thoughts and behaviors to support Black youth exposed to various forms of structural oppression.

Research integrity and academic medicine: the pressure to publish and research misconduct.

This narrative review article explores research integrity and the implications of scholarly work in medical education. The paper describes how the current landscape of medical education emphasizes research and scholarly activity for medical students, resident physicians, and faculty physician educators. There is a gap in the existing literature that fully explores research integrity, the challenges surrounding the significant pressure to perform scholarly activity, and the potential for ethical lapses by those involved in medical education. The objectives of this review article are to provide a background on authorship and publication safeguards, outline common types of research misconduct, describe the implications of publication in medical education, discuss the consequences of ethical breaches, and outline possible solutions to promote research integrity in academic medicine. To complete this narrative review, the authors explored the current literature utilizing multiple databases beginning in June of 2021, and they completed the literature review in January of 2023. To capture the wide scope of the review, numerous searches were performed. A number of Medical Subject Headings (MeSH) terms were utilized to identify relevant articles. The MeSH terms included "scientific misconduct," "research misconduct," "authorship," "plagiarism," "biomedical research/ethics," "faculty, medical," "fellowships and scholarships," and "internship and residency." Additional references were accessed to include medical school and residency accreditation standards, residency match statistics, regulatory guidelines, and standard definitions. Within the realm of academic medicine, research misconduct and misrepresentation continue to occur without clear solutions. There is a wide range of severity in breaches of research integrity, ranging from minor infractions to fraud. Throughout the medical education system in the United States, there is pressure to publish research and scholarly work. Higher rates of publications are associated with a successful residency match for students and academic promotion for faculty physicians. For those who participate in research misconduct, there is a multitude of potential adverse consequences. Potential solutions to ensure research integrity exist but are not without barriers to implementation. Pressure in the world of academic medicine to publish contributes to the potential for research misconduct and authorship misrepresentation. Lapses in research integrity can result in a wide range of potentially adverse consequences for the offender, their institution, the scientific community, and the public. If adopted, universal research integrity policies and procedures could make major strides in eliminating research misconduct in the realm of academic medicine.

Mixed Ba-hexaferrite: An experimental investigation of thermal, structural, morphological, and magnetic properties of hexa-phasic magnetocomposite and its constituting phases

Magnetocomposite materials have expanded their attention in recent years due to the focused and continuously growing applicability of these nanostructured materials. The successful outcomes of blending several magnetic phases may offer the development of a surprisingly new magnetic phenomenon or superior magnetic performance than conventional magnetic materials. This research work involves the synthesis of six types of barium hexaferrite (BaHF) phases, i.e., Y, M, W, X, U, Z-type, along with mixed Ba-hexaferrite (blending all six phases) and its thorough investigation of magnetic characteristics with a wide range of temperatures (2 K–900 K). The insightful and comparative understanding of the thermal reactions during phase formation within all six phases is explained by determining kinetic parameters. The magnetic parameters concerning each barium hexaferrite phase are explained by the structural and morphological constraints. The sintered mixed Ba-hexaferrite consists of a room temperature ferrimagnetic behavior (Ms = 74.85 emu/g, Hc = 45.35 Oe) and exhibits a deviation from its theoretical values (using Vegard's law), revealing the presence of interphasic interaction within it. The low-temperature spin dynamics confirm the existence of a spin-glass state at 110 K, including a broader magnetic susceptibility response starting at 185 K, associated with the evolution of a reentrant spin-glass state.

Enhancement or impoverishment? Algorithmic management and ‘distance’ education during the pandemic

This article aims to develop some interpretative hypotheses on the transformation of education that digitalisation and neoliberalism have brought about in the context of the COVID-19 pandemic. We draw on changes in the Italian education system to outline the general, structural trend. In order to illustrate how transformations in the education system can be viewed as a process of capitalist valorisation, we present the insights offered by a set of contemporary workerist enquiries and use the theoretical concepts of ‘hyperindustrialisation’ and ‘hybridisation’, drawn also from the research work of Romano Alquati. Our conclusions show how work in education can be reconceptualised in relation to the general process of digital socialisation and its contradictions: we unveil hidden sides of the platformisation of education and provide a disenchanted view of digital solutionism.

Andrographolide-A Magical Bioactive Compound: An Overview

Abstract: Andrographis paniculata (ANP) is a medicinal plant containing several bioactive compounds, such as diterpenoids, flavonoids, and polyphenols. Andrographolide is one of the key natural compounds which are found in the Andrographis paniculata plant. It has been used as an Immunomodulators, antiviral, anti-inflammatory, analgesic, anti-cancer, hepatoprotective, cardioprotective, and managing COVID-19, chikungunya virus (CHIKV) infections etc, due to the key bioactive compound Andrographolide; therefore, this molecule called a magic bioactive molecule. Many people have cured and increased their immunity by regularly taking this herb in the form of tea. All of these potential properties of this bioactive molecule make it very unique. Therefore, there needs to be more research work for the development of novel properties and future prospects.

Role of Libraries in the Simultaneous Threats of the COVID 19 Pandemic and Flood in Kamrup Metro District of Assam

Corona virus disease or COVID-19 is a contagious disease caused by a virus named corona which is said to be originated from China. In the year 2021 the virus has got spread all the over the world which has resulted many deaths of the people. Also the physical library services were stopped to minimize the COVID cases. In the pandemic situation the information exchange plays a very vital role. Accurate information is the key to handle the chaotic situation. Exchange of false information seems to be on the rise. It has created a situation of ‘infodemic’ as stated by the Director-General of the World Health Organization (WHO). This has not only affected research work severely but has also created chaos among the laypeople. Flood event of the Brahmaputra River in the Indian north-eastern state of Assam coincided with the COVID-19 pandemic. Kamrup Metro district of Assam being in the bank of river Brahmaputra faces a severe flood problem. Due to the poor drainage system the people living in the district suffers from the problem of flood. Diseases such as Dengue, Malaria and Japanese Encephalitis are likely to increase in stagnant water left by receding floods. Treatment of these diseases have been hindered by fear of the COVID-19 pandemic and restrictions have hampered the efforts to destroy mosquito breeding sites and awareness-raising among at-risk populations.

Effect of water jet erosion parameters on erosion rate of WC10Ni5Cr HVOF coated 35CrMo steel

Abstract This research work aims for developing the water jet erosion (WJE) prediction equation and analyzing the optimum water jet erosion parameters such as impingement angle (degree), water jet velocity (m s−1), stand-off distance (mm), and erodent discharge rate (g min−1) for minimizing the water jet erosion of 35CrMo steel coated with WC10Ni5Cr coating. The optimized high velocity oxy fuel (HVOF) process parameters were employed for developing the coating of WC10Ni5Cr on 35CrMo steel. The WJE prediction equations were checked for its validity employing analysis of variance (ANOVA). The water jet erosion was measured as the loss of mass (g) after water jet erosion testing for noncoated and coated 35CrMo steel substrates. From the results it was analyzed that the noncoated and coated 35CrMo steel substrates when subjected to the impingement angle of 60°, water jet velocity of 15 m s−1, stand-off distance of 40 mm, and erodent discharge rate of 1500 g min−1 displayed lower mass loss of 0.0177 g and 0.0079 g. The coated 35CrMo steel substrate showed 55.36 % decrement in erosion compared to noncoated 35CrMo steel substrate. These findings support the employability of WC10Ni5Cr HVOF coating for 35CrMo steel to improve its water jet erosion resistance in engineering applications.

The production of bacterial cellulose from coconut water and its application as a green photocatalyst composite membrane

AbstractIn this research work, bacterial cellulose was produced from the fermentation of coconut water and incubated for 4, 5, and 6 days. The bacterial cellulose membrane was utilized as immobilized silver nanoparticles (AgNPs). A green photocatalyst membrane was prepared by reducing silver ions in the bacterial cellulose matrix structure using local fruit extracts, tomatoes, Citrus hystrix fruit, and mangosteen peel as a reducing agent. The composite was dried in the oven to obtain a more durable fixed structure. The properties of produced bacterial cellulose were determined by measuring the thickness, water retention capacity (WRC), cellulose content, and swelling. The functional group and crystallinity index of bacterial cellulose were observed by FTIR and XRD instrument analysis. The SEM EDX analysis confirms that the silver ions were successfully reduced in the BC matrix, and the UV–Vis spectrum showed that the composite membrane has the ability to degrade the methylene blue solution under sunlight irradiation. The maximum degradation efficiency of the composite membrane against 5 ppm methylene blue solution was achieved by the composite membrane reduced by tomatoes, with a value of 93%. This result proved that the composite membrane produced in this research has excellent capabilities as a green photocatalyst for degrading wastewater containing dye pollutants.

Optimizing energy efficiency in heterogeneous networks: An integrated stochastic geometry approach with novel sleep mode strategies and QoS framework.

The quest for energy efficiency (EE) in multi-tier Heterogeneous Networks (HetNets) is observed within the context of surging high-speed data demands and the rapid proliferation of wireless devices. The analysis of existing literature underscores the need for more comprehensive strategies to realize genuinely energy-efficient HetNets. This research work contributes significantly by employing a systematic methodology, utilizing This model facilitates the assessment of network performance by considering the spatial distribution of network elements. The stochastic nature of the PPP allows for a realistic representation of the random spatial deployment of base stations and users in multi-tier HetNets. Additionally, an analytical framework for Quality of Service (QoS) provision based on D-DOSS simplifies the understanding of user-base station relationships and offers essential performance metrics. Moreover, an optimization problem formulation, considering coverage, energy maximization, and delay minimization constraints, aims to strike a balance between key network attributes. This research not only addresses crucial challenges in creating EE HetNets but also lays a foundation for future advancements in wireless network design, operation, and management, ultimately benefiting network operators and end-users alike amidst the growing demand for high-speed data and the increasing prevalence of wireless devices. The proposed D-DOSS approach not only offers insights for the systematic design and analysis of EE HetNets but also systematically outperforms other state-of-the-art techniques presented. The improvement in energy efficiency systematically ranges from 67% (min side) to 98% (max side), systematically demonstrating the effectiveness of the proposed strategy in achieving higher energy efficiency compared to existing strategies. This systematic research work establishes a strong foundation for the systematic evolution of energy-efficient HetNets. The systematic methodology employed ensures a comprehensive understanding of the complex interplay of network dynamics and user requirements in a multi-tiered environment.

Enhancing solar still performance with Plexiglas and jute cloth additions: experimental study

This research work compares the performance of a conventional solar still (CSS) with a modified CSS (MSS) that uses Plexiglas and jute fabric to increase heat localization and thin-film evaporation. Two solar stills with identical 1 m2 basin areas were designed and constructed using Fiberglass reinforced plastic for experimentation. A heat transfer model based on linear regression was utilized in the theoretical analysis. Performance analysis was determined based on exergy analysis, and a cost per litre was also included in the research work. It was found that the MSS achieved a distillate output 35% higher than the CSS. Also, MSS led to a 45% reduction in the costs of distillate output of water than CSS.

Methodological approaches to the formation of indicators of state programs of the Russian Federation

The purpose of the article is to develop analytical approaches and recommendations for adjusting the current system of strategic planning documents indicators developed at the federal level, including in various sectors of statistics, as well as proposals for the implementation of new indicators of strategic planning documents developed at the federal level. The article was written as part of the preparation of the report of the Research Institute of Statistics of Rosstat on the research work «Development of analytical approaches and recommendations for adjusting the current system strategic planning documents indicators developed at the federal level, including in various sectors of statistics» and MVTSK — No. 10 on the topic: «Development of analytical approaches and recommendations to adjust the current system of strategic planning documents indicators developed at the federal level on the example of individual sectors of the social sphere».

Autonomous Fever Monitoring System For Child Using Arduino, ESP8266, WordPress, C# And Alexa

Purpose: Nowadays, many electronic thermometers are available to measure baby fever. There are two types of thermometers. One type needs contact with the body, and the other is contactless. The contact-type thermometer must be touched to the body for a few minutes till the count is steady. Sometimes, our baby is unwilling to keep the thermometer on their body for a long time. Both contact and contactless thermometers are operated manually. The baby's body temperature cannot be captured When the mother or attender sleeps. However, the mother could not measure the temperature without sleeping all night. When the mother sleeps at night, and the baby's fever suddenly goes high, she needs to feed the baby fever medicine or water bath on the baby’s forehead. It would be good if someone continuously measured the temperature and informed us of some abnormal temperature detection. Yes, now we have the solution. We can solve the problem using our IoT technology. We can automatically measure the baby's body temperature even when the mother sleeps. If the temperature is in an abnormal range, the system draws attention, producing an audio and visual alarm. The system reads the temperature in every predefined interval and saves it to the cloud. When we visit the clinic, the doctor generally wants a temperature history. Using this procedure, the temperature graph can be autogenerated. In this research work, we describe a process to measure the baby's body temperature autonomously and make a backup to the cloud. Design/Methodology: we are making the project possible using IoT technology. We are using a contactless temperature sensor MLX90614. The temperature is processed by Arduino Mega and uploaded to the cloud through the Nodemcu using the MQTT protocol. We are saving the data to the WordPress database. Additionally, to extend the device’s functionality, we integrated Alexa. When the mother needs to get the temperature, she must ask Alexa over the voice command. The Alexa will respond to the current body temperature as voice. It is required basically at night when all high-intensity lights are off. Findings/Result: we created the prototype device and ran a proof of concept. The device runs for a couple of weeks. The device worked as expected. For the scope of improvement, we found a couple of points. For example, our device is bulkier due to the prototype; in practice, it is a handy device. The GUI is also more user-friendly. The complete process is automatic, and before the doctor's visit, we need to carry the temperature graph, which can be generated from our C# application. Originality/Value: The medical device, especially for a baby, needs to be designed so that the baby gets a little bit involved. We surfed the net and found most of the automated fever measurement devices use contact type, which creates several complications for the baby when it is attached to the baby’s body. So here, we added a couple of unique approaches to provide more value in our daily lives. We said a contactless temperature sensor so that there is no need for direct contact with the baby’s body. The second one is that it is Alexa-enabled. The temperature can be a voice response if the room has no light, especially at night. The third one is the autogenerated temperature graph, which is very helpful when we go for a doctor's consultation. The above features provide novelty. Type of Paper: Experimental-based Research.

Analysis of human epidermal growth factor receptor 2 interaction on aptamer-probed interdigitated electrode for breast cancer diagnosis.

Breast cancer has been reported to be high in its incidence with women, and early identification of breast cancer helps to improve and provide an effective treatment. Tumor markers are active substances; in particular, human epidermal growth factor receptor 2 (HER2) is over-expressed at the level of 20%-30%. This research work developed a highly sensitive HER2 biosensor on the interdigitated electrode (IDE) by using aptamer as a detection probe. To enhance the analytical performances, aptamer was attached to the gold nanoparticle and immobilized on the IDE through a chemical linker [(3-aminopropyl)triethoxysilane]. On the aptamer conjugation, HER2 was quantified through current-volt measurements, and the limit of detection of HER2 was calculated as 1pg/mL on a linear range from 0.1 to 3000pg/mL at an R2 (regression coefficient) of 0.9657. Further, a selective performance with human serum increased the current responses by increasing HER2 concentrations. Specific experiments with control protein and complementary aptamer sequence failed to enhance the current responses. This HER2 biosensor reflects the occurrence of breast cancer at its lower abundance and helps to identify the associated complications.