Analytical System Research Articles

Information and analytical activity in the system of economic security of the enterprise

This article is devoted to understanding the importance of information and analytical support for management decisions in modern conditions, when there are threats of various nature. It has been proven that the selection of reliable necessary information, scientifically based methods of its analysis provide optimal solutions in these conditions, aimed at ensuring the effective operation of the enterprise. Analysis occupies an intermediate place between the selection of information and decision-making. It has been studied that depending on business conditions, different decisions are made, different techniques and methods of analysis are used. The main features that determine the content of analytical activity are highlighted, such as: the study of economic phenomena, objective assessment of the efficiency of the enterprise, scientific substantiation of business plans and identification of reserves at the enterprise. The main tasks of the information and analytical system of enterprises of network structures in modern conditions are highlighted. It is considered that the object of analysis is the economic activity of the enterprise, which can be divided into economic processes and financial results formed under the influence of objective and subjective factors.

Formal Functions of Drum Patterns in Post-Millennial Pop Songs, 2012–2021

Drum patterns are fundamental to popular music’s soundscape. But the majority of music-theoretical scholarship about drum patterns focuses on their rhythmic and metric features, and there is no widely adopted method for analyzing how drum patterns help express form across complete songs. Grounded in a corpus study from the Billboard Year-End Pop Airplay Songs charts from 2012–2021, this article introduces an analytical method that succinctly depicts the main characteristics of post-millennial pop drum patterns in order to highlight the significant and specific ways they help express formal boundaries, teleological functions, and formal motion. Drum patterns in this repertoire are typically a variation of a standard rock or four-on-the-floor pattern, and my context-based analytical system frames drum patterns as different realizations of three parameters: number of layers, rhythm, and instrumentation. A song’s multiple drum patterns can be analyzed and compared according to these characteristics, and these characteristics can also be used to classify drum pattern changes. In the second half of the article, I present analyses that, in addition to showcasing the system’s utility, emphasize two broad points: that drum patterns can be a primary expresser of teleological functions within individual sections, across formal cycles, and throughout complete songs; and that drum patterns can help express post-millennial pop’s conventional layouts and more novel formal designs.

PM-Vis: A Visual Analytics System for Tracing and Analyzing the Evolution of Pottery Motifs.

In Chinese archaeological research, analyzing the evolution of motifs in ancient pottery is crucial for studying the spread and growth of cultures across various eras and regions. However, such analyses are often challenging due to the complexities of identifying motifs with evolutionary connections that may manifest concurrent changes in appearance, space, and time, compounded by ineffective documentation. We propose PM-Vis, a visual analytics system for tracing and analyzing the evolution of pottery motifs. PM-Vis is anchored in a "selection-organization-documentation" workflow. In the selection stage, we design a three-fold projection paired with a motif-based search mechanism, displaying the appearance similarity and temporal and spatial proximities of all motifs or a specific motif, aiding users in selecting motifs with evolutionary connections. The organization stage helps users establish the evolutionary sequence and segment the selected motifs into distinct evolutionary phases. Finally, the documentation stage enables users to record their observations and insights through various forms of annotation. We demonstrate the usefulness and effectiveness of PM-Vis through two case studies, expert feedback, and a user study.

Completeness of provided information as a key aspect of successful counterparty verification completeness of provided information as a key aspect of successful verification of counterparty for its financial stability and reliability

The article presents the results of the analysis of Russian and foreign information and analytical systems conducted by the author of this article in the context of their methods and volumes of information collection. As a result of the study, a conclusion was made about the completeness and nature of the information provided to the user by information and analytical systems, as well as current shortcomings were highlighted and features that require further improvement and efficiency improvement in the use of such tools in the field of business and finance were emphasized.

Towards a Data Catalog for Data Analytics

Understanding the reliability and health of critical business assets is essential for every organization. Digital transformation changes users' behaviours and imposes several challenges to organizations that need to collect and use more diversified data to improve digital services, drive decision-making, and spur innovation. Coupled with data growth and diversification, new approaches for analysing data rely on the schema-on-read approach, prioritizing data collection over data organization. Thus, knowing where data is stored, and how can be used, improves the capability to respond to business changes and thus helps to take better actions. To enable the creation, verification, and upkeep of dashboards in the analytical system, this work proposes a measure data catalog used to support the management and validation of metadata.

ОЦЕНКА ПОТЕНЦИАЛА ЭНЕРГОСБЕРЕЖЕНИЯ В БЮДЖЕТНЫХ УЧРЕЖДЕНИЯХ В СИСТЕМЕ УПРАВЛЕНИЯ ЭНЕРГОРЕСУРСАМИ (СУЭР)

Developed and in operation since 2019, the information and analytical Energy Resources Management System of the Belgorod Region (ERMS) ensures the digitalization of processes related to the provision of measures to improve energy efficiency related to the powers of state authorities of the constituent entities of the Russian Federation and local governments. The SEER uses methods for assessing the energy efficiency of large geographically distributed consumers of utility resources based on an individual analysis of the characteristics and heat consumption of individual buildings. Currently, the SEER includes information for 2,144 municipal and regional institutions in the Belgorod region, which operate in 5,332 buildings. Costs for energy resources and water in 2023 in these institutions amounted to 4.8 billion rubles; over the five years of operation of the SUER, they decreased by 8% under comparable conditions. Based on SEER data, the total savings potential that can be achieved in regional and municipal institutions of the Belgorod region is 14.3% of annual costs for energy resources and water, including 0.8% from organizational activities and 13.5% from technical measures with an average payback period of 6 years. During 2021–2024, pilot projects for the implementation of SEMS were implemented in 9 Russian regions and one organization, which showed savings potential ranging from 4.4 to 29.5%.

Video-Based Kinematic Analysis of Movement Quality in a Phase 3 Clinical Trial of Troriluzole in Adults with Spinocerebellar Ataxia: A Post Hoc Analysis.

Traditional methods for assessing movement quality rely on subjective standardized scales and clinical expertise. This limitation creates challenges for assessing patients with spinocerebellar ataxia (SCA), in whom changes in mobility can be subtle and varied. We hypothesized that a machine learning analytic system might complement traditional clinician-rated measures of gait. Our objective was to use a video-based assessment of gait dispersion to compare the effects of troriluzole with placebo on gait quality in adults with SCA. Participants with SCA underwent gait assessment in a phase 3, double-blind, placebo-controlled trial of troriluzole (NCT03701399). Videos were processed through a deep learning pose extraction algorithm, followed by the estimation of a novel gait stability measure, the Pose Dispersion Index, quantifying the frame-by-frame symmetry, balance, and stability during natural and tandem walk tasks. The effects of troriluzole treatment were assessed in mixed linear models, participant-level grouping, and treatment group-by-visit week interaction adjusted for age, sex, baseline modified Functional Scale for the Assessment and Rating of Ataxia (f-SARA), and time since diagnosis. From 218 randomized participants, 67 and 56 participants had interpretable videos of a tandem and natural walk attempt, respectively. At Week 48, individuals assigned to troriluzole exhibited significant (p=0.010) improvement in tandem walk Pose Dispersion Index versus placebo {adjusted interaction coefficient: 0.584 [95% confidence interval (CI) 0.137 to 1.031]}. A similar, nonsignificant trend was observed in the natural walk assessment [coefficient: 1.198 (95% CI-1.067 to 3.462)]. Further, lower baseline Pose Dispersion Index during the natural walk was significantly (p=0.041) associated with a higher risk of subsequent falls [adjusted Poisson coefficient:-0.356 [95% CI-0.697 to-0.014)]. Using this novel approach, troriluzole-treated subjects demonstrated improvement in gait as compared to placebo for the tandem walk. Machine learning applied to video-captured gait parameters can complement clinician-reported motor assessment in adults with SCA. The Pose Dispersion Index may enhance assessment in future research. TRIAL REGISTRATION-CLINICALTRIALS. NCT03701399.

Express analysis of acetone in exhaled air for diagnosing diabetes melli-tus

Exhaled air analysis is an actively developing area of medical non-invasive diagnostics, as it does not involve invasive interventions and can be performed repeatedly. It is known that acetone in exhaled air correlates with blood glucose and is a biomarker of diabetes. The use of analytical systems to analyse acetone in exhaled air in medical institutions will allow for the timely diagnosis of pathological changes in blood glucose levels, the early diagnosis of diabetes, and the monitoring of the effectiveness of treatments. In this study, we described the express analysis of acetone in exhaled air using a mobile diagnostic complex based on microfluidic systems including a PIA gas microchromatograph with a thermochemical detector, a planar chromatographic column, a thermostatically controlled system for the sampling and selective capture of interfering components, operated by electric microvalves, and an automatic dosing system with adjustable blowdown from 0.1 to 5 sec and specialised software. We proposed using a diagnostically significant range of concentrations: from 0.5 ppm to 20 ppm of acetone in exhaled air in the diagnosis of diabetes. The total analysis time is 3 min, retention time for acetone is 60 sec. Testing of the complex confirmed that it allows for the direct determination of acetone in exhaled air. The use of the capture and drying system prevents the loss of the target substance and ensures good convergence of the results. The deviation from the reference value does not exceed 10%. Field testing confirmed the data obtained on model mixtures. The developed mobile diagnostic complex with automatic programmed dosing and the technique for the quantitative determination of acetone in exhaled air (0.5-20 ppm) can be recommended for use in clinical studies in medical institutions.

Seamless integration of Internet of Things, miniaturization, and environmental chemical surveillance.

IoT is a game-changer across all fields, including chemistry. Embracing sustainable practices and green chemistry, the miniaturization and automation of systems, and their integration into IoT is key to achieving these principles, as a rising trend with momentum. Particularly, IoT and analytical chemistry are linked in the rapid exchange of analytical data for environmental, industrial, healthcare, and educational applications. Meanwhile, cooperation with other fields of science is evident, and there is a prompt and subjective analysis of information related to analytical systems and methodologies. This paper will review the concepts, requirements, and architecture of IoT and its role in the miniaturization and automation of analytical tools using electronic modules and sensors. The aim is to explore the standards and perspectives of IoT and its interaction with different aspects of analytical chemistry. Additionally, it aimed to explain the basics and applications of IoT for chemists, and its relevance to different subfields of analytical chemistry, particularly in the field of environmental chemical surveillance. The article also covers updating IoT devices and creating DIY-based degradation devices to enhance the educational aspect of chemistry and reduce barriers to lab facilities and equipment. Lastly, it will explore how IoT is really important and how it's going to significantly impact analytical chemistry.

Progress on Electrochemical Biomimetic Nanosensors for the Detection and Monitoring of Mycotoxins and Pesticides.

Monitoring agricultural toxins such as mycotoxins is crucial for a healthy society. High concentrations of these toxins lead to the cause of several chronic diseases; therefore, developing analytical systems for detecting/monitoring agricultural toxins is essential. These toxins are found in crops such as vegetables, fruits, food, and beverage products. Currently, screening of these toxins is mostly performed with sophisticated instrumentation such as chromatography and spectroscopy techniques. However, these techniques are very expensive and require extensive maintenance, and their availability is limited to metro cities only. Alternatively, electrochemical biomimetic sensing methodologies have progressed hugely during the last decade due to their unique advantages like point-of-care sensing, miniaturized instrumentations, and mobile/personalized monitoring systems. Specifically, affinity-based sensing strategies including immunosensors, aptasensors, and molecular imprinted polymers offer tremendous sensitivity, selectivity, and stability to the sensing system. The current review discusses the principal mechanisms and the recent developments in affinity-based sensing methodologies for the detection and continuous monitoring of mycotoxins and pesticides. The core discussion has mainly focused on the fabrication protocols, advantages, and disadvantages of affinity-based sensing systems and different exploited electrochemical transduction techniques.

Designing interactive visualizations for analyzing chronic lung diseases in a user-centered approach.

Medical practitioners analyze numerous types of data, often using archaic representations that do not meet their needs. Pneumologists who analyze lung function exams must often consult multiple exam records manually, making comparisons cumbersome. Such shortcomings can be addressed with interactive visualizations, but these must be designed carefully with practitioners' needs in mind. A workshop with experts was conducted to gather user requirements and common tasks. Based on the workshop results, we iteratively designed a web-based prototype, continuously consulting experts along the way. The resulting application was evaluated in a formative study via expert interviews with 3 medical practitioners. Participants in our study were able to solve all tasks in accordance with experts' expectations and generally viewed our system positively, though there were some usability and utility issues in the initial prototype. An improved version of our system solves these issues and includes additional customization functionalities. The study results showed that participants were able to use our system effectively to solve domain-relevant tasks, even though some shortcomings could be observed. Using a different framework with more fine-grained control over interactions and visual elements, we implemented design changes in an improved version of our prototype that needs to be evaluated in future work. Employing a user-centered design approach, we developed a visual analytics system for lung function data that allows medical practitioners to more easily analyze the progression of several key parameters over time.

Polycations as Aptamer-Binding Modulators for Sensitive Fluorescence Anisotropy Assay of Aflatoxin B1.

Fluorescence induced by the excitation of a fluorophore with plane-polarized light has a different polarization depending on the size of the fluorophore-containing reagent and the rate of its rotation. Based on this effect, many analytical systems have been implemented in which an analyte contained in a sample and labeled with a fluorophore (usually fluorescein) competes to bind to antibodies. Replacing antibodies in such assays with aptamers, low-cost and stable oligonucleotide receptors, is complicated because binding a fluorophore to them causes a less significant change in the polarization of emissions. This work proposes and characterizes the compounds of the reaction medium that improve analyte binding and reduce the mobility of the aptamer-fluorophore complex, providing a higher analytical signal and a lower detection limit. This study was conducted on aflatoxin B1 (AFB1), a ubiquitous toxicant contaminating foods of plant origins. Eight aptamers specific to AFB1 with the same binding site and different regions stabilizing their structures were compared for affinity, based on which the aptamer with 38 nucleotides in length was selected. The polymers that interact reversibly with oligonucleotides, such as poly-L-lysine and polyethylene glycol, were tested. It was found that they provide the desired reduction in the depolarization of emitted light as well as high concentrations of magnesium cations. In the selected optimal medium, AFB1 detection reached a limit of 1 ng/mL, which was 12 times lower than in the tris buffer commonly used for anti-AFB1 aptamers. The assay time was 30 min. This method is suitable for controlling almond samples according to the maximum permissible levels of their contamination by AFB1. The proposed approach could be applied to improve other aptamer-based analytical systems.

ІННОВАЦІЙНІ ТРАНСФОРМАЦІЇ ОБЛІКОВО-АНАЛІТИЧНОГО ЗАБЕЗПЕЧЕННЯ УПРАВЛІННЯ БІЗНЕСОМ

Introduction. The innovative potential of business entities indicates their ability to ensure sustainable development and the availability of opportunities to maintain its achieved level in the future, which directly depends on the effectiveness of the accounting and analytical management system and the information produced by it. Changes in approaches to the formation of information at the request of users, the introduction into practice management reports, conducting activities in compliance with the principles of sustainable development, the objective need to adjust vectors of business implementation in the conditions of military operations, and the need to strengthen control over all stages of the full cycle of the economic process actualize the importance of developing an activity strategy. This applies not only to the long-term strategy, but also to the planning of current activities, which significantly increases the value of information regarding the legality of activities at each stage of the economic process. These issues require in-depth scientific research and, based on their results, the development of substantiated proposals aimed at increasing the level of accounting and analytical management support. Problem Statement. The phrase “accounting and analytical support” is quite often included in the title of scientific articles and themes of dissertations for obtaining the scientific degree of Doctor of Economic Sciences and Doctor of Philosophy in the specialty 08.00.09 - Accounting, analysis and audit (by types of economic activity). This does not indicate the exhaustiveness of the problems in the outlined field, but rather actualizes the importance of their in-depth research in the context of meeting the needs of management. The purpose is to consider modern trends in the improvement of the accounting and analytical system of business entities with the actualization of the need to expand the scope of address information at the request of users, to strengthen control over the completeness of the coverage in the process of its formation of all the facts of business practice and conducted operations, and the importance of introducing compliance procedures in this context and financial monitoring. Methods. The logical-abstract method is used, which is based on the elements of the methods of theoretical generalization, analysis, grouping, comparison, description. Results. Society's trust in the accounting institute directly depends on the quality of the information used in the process of evaluating the performance of the activity. Priority is given to summary information, summarized by the indicators of various forms of reporting. This gives reason to evaluate information from the point of view of the “purity” of reporting indicators and the initiation of the characteristic style of the accounting profession and the appropriate behavior of its representatives as managers of a high level of professional knowledge, education, culture and upbringing. It is time to develop a specific code of ethics for a professional accountant as a specialist of a new formation with powerful intellectual potential, a wide range of knowledge and skills, capable of establishing business management on the basis of financial monitoring and compliance. Conclusions. The accounting and analytical system, the components of which can change in the context of taking into account the invariance of management decisions without violating the integrity of the system, remains the informational confirmation of the transition of the business to the platform of sustainable development.

СТАН МОСТОВОГО ГОСПОДАРСТВА УКРАЇНИ НА ДОРОГАХ ЗАГАЛЬНОГО КОРИСТУВАННЯ ДЕРЖАВНОГО ЗНАЧЕННЯ НА ПІДКОНТРОЛЬНИХ ТЕРИТОРІЯХ ЗА 2023 РІК

Introduction. Bridges are important critical infrastructure facilities; they play a key role in economic development and ensure the security of regions and the state as a whole. During the period of martial law, bridges became an important element of the country's defense capability, as well as routes for humanitarian evacuation and export logistics. To make effective management decisions at the level of the State Agency for the Restoration and Development of Infrastructure of Ukraine in the field of bridge management, the Analytical Expert Bridge Management System (AESUM) software package is being implemented. Problem statement. In connection with the introduction of martial law in Ukraine, ensuring the proper functioning of the bridge sector has become of great social importance, since the availability of sustainable transport links allows to ensure the vital activity of the population and the functioning of the state under martial law. It is also important to improve the strategy of operation of transport facilities, taking into account the scientific and analytical apparatus of the AESUM software package. Objective. Implementation of an effective strategy for the operation of bridges on highways in order to plan financial resources for their repair and maintenance. Providing the general public with up-to-date statistical information on bridges from AESUM will be useful for scientific and practical purposes, and identifying certain analytical trends will allow to improve AESUM in terms of forming a strategy for the operation of transport facilities. Materials and methods. Analytical, statistical, system analysis. Results. The paper presents analytical and statistical information on transport facilities on public roads of national importance in the controlled territories of Ukraine as of the end of 2023. Certain trends have been identified and the technical condition of transport facilities has been focused on.

Influence of Accelerated Electron-Irradiation on Sorption Properties of Latvian Darkhead Sheep Wool Fibers

Latvian Darkhead (LD) is a local sheep breed and a genetic resource in Latvia. Preservation and development of the sheep population in the local region is important for the recultivation of fields, it serves as a source for export and local use, as well as waste wool can be applied for developing new products, for example, sorbents for volatile organic pollutants. Therefore, investigation of the sorption properties of the LD sheep wool fibers is under interest. In addition, modification options of the wool for improvement of properties are viewed. Therefore, in the present work, sheep wool fibers as well as accelerated electron-irradiated fibers are analyzed and compared. Fourier transform infrared (FTIR) spectrometry is applied to develop the sorption testing system of volatile organic compounds. An analytical system consisting of a volatile organic compound source, sheep wool filter, and FTIR spectrometry cell is tested and applied for analysis of wool sorption properties for acetone molecules. Registration of the FTIR spectra was performed within the range of 600-4000 cm-1, in the nitrogen flow of about 150mL/min. FTIR analysis shows, that the accelerated electron irradiated sheep wool fibers absorb acetone of about 33% more than non-irradiated fibers. The obtained results will be used for developing recommendations for filter producers to fabricate filter components containing LD sheep wool fibers.

Secure pharmaceutical supply chain using blockchain in IoT cloud systems

Supply Chain Management (SCM) systems require time sequencing, coordination and tracking the movement of goods and processes. Internet of Things (IoT) and Blockchain technologies are useful to develop a secure automated SCM. IoT devices with in-built sensors and actuators help to keep track of the state, location, temperature or other parameters of an entity, and control the automation of routine as well as hazardous tasks. Blockchain technology supports time-stamping, authentication, process coordination, non-repudiation, commercial transactions, and also provides security for transactions and storage. The pharmaceutical SCM demands accurate, immediate and secure control system. Additionally, the supply chain process data from IoTs is stored and processed in Cloud by Analytics applications, for business planning and improvement. An efficient and secure IoT-Cloud-Blockchain based system for both SCM automation and analytics has been proposed in this work. It leverages a hierarchical IoT, Mist, Edge, Fog, Cloud computing (IMEFC) architecture to enhance Communication-Response-Compute-Security-Storage (CRCSS) in the system. Blockchain technology provides security for the SCM transactions and data. The efficiency of the Blockchain is measured in terms of upload time, download time and transaction fees for Bitcoin, Ethereum and Filecoin platforms. The Filecoin blockchain platform is quicker and cost-effective for larger file sizes, compared to Ethereum and Bitcoin, making it suitable for Pharmaceutical SCM systems.

IMVis: Visual analytics for influence maximization algorithm evaluation in hypergraphs

Influence maximization (IM) algorithms play a significant role in hypergraph analysis tasks, such as epidemic control analysis, viral marketing, and social influence analysis, and various IM algorithms have been proposed. The main challenge lies in IM algorithm evaluation, due to the complexity and diversity of the spreading processes of different IM algorithms in different hypergraphs. Existing evaluation methods mainly leverage statistical metrics, such as influence spread, to quantify overall performance, but do not fully unravel spreading characteristics and patterns. In this paper, we propose an exploratory visual analytics system, IMVis, to assist users in exploring and evaluating IM algorithms at the overview, pattern, and node levels. A spreading pattern mining method is first proposed to characterize spreading processes and extract important spreading patterns to facilitate efficient analysis and comparison of IM algorithms. Novel visualization glyphs are designed to comprehensively reveal both temporal and structural features of IM algorithms’ spreading processes in hypergraphs at multiple levels. The effectiveness and usefulness of IMVis are demonstrated through two case studies and expert interviews.

Multipoint monitor of beer fermentation

This short communication is devoted to a fully-mechanized flow analysis system for the control of beer fermentation process. The developed system is based on microsolenoid flow controlling devices (valves and pumps) and a flow-through optoelectronic detector. All these components are powered and controlled by a Adruino-compatible microprocessor platform that creates an integrated, compact, and robust analytical tool. Multiplication of sample aspiration ports of the analytical system allows for simultaneous monitoring of several independently performed fermentation processes, as well as a single process at the different places of fermentation tank. To demonstrate its practical utility, the developed system has been applied for online and real-time monitoring of yeast propagation and distribution in beer worts in the course of various fermentation processes. Potentially, this flow analysis system can be easily expanded to the form of multianalyte monitor equipped with optoelectronic sensors and biosensors for the determination of other parameters and analytes.

Targeted Formation of Biofilms on the Surface of Graphite Electrodes as an Effective Approach to the Development of Biosensors for Early Warning Systems.

Biofilms based on bacteria Pseudomonas veronii (Ps. veronii) and Escherichia coli (E. coli) and yeast Saccharomyces cerevisiae (S. cerevisiae) were used for novel biosensor creation for rapid biochemical oxygen demand (BOD) monitoring. Based on the electrochemical measurement results, it was shown that the endogenous mediator in the matrix of E. coli and Ps. veronii biofilms and ferrocene form a two-mediator system that improves electron transport in the system. Biofilms based on Ps. veronii and E. coli had a high biotechnological potential for BOD assessment; bioreceptors based on such biofilms had high sensitivity (the lower limits of detectable BOD5 concentrations were 0.61 (Ps. veronii) and 0.87 (E. coli) mg/dm3) and high efficiency of analysis (a measurement time 5-10 min). The maximum biosensor response based on bacterial biofilms has been observed in the pH range of 6.6-7.2. The greatest protective effect was found for biofilms based on E. coli, which has high long-term stability (151 days for Ps. veronii and 163 days for E. coli). The results of the BOD5 analysis of water samples obtained using the developed biosensors had a high correlation with the results of the standard 5-day method (R2 = 0.9820, number of tested samples is 10 for Ps. veronii, and R2 = 0.9862, number of tested samples is 10 for E. coli). Thus, biosensors based on Ps. veronii biofilms and E. coli biofilms could be a novel analytical system to give early warnings of pollution.

A 3D printing assisted microfluidic absorbance-based measurement system for biological assay

Development of rapid analytical systems utilizing 3D printing is an emerging area of interest with the potential to provide efficient solutions by integrating multidisciplinary technology without compromising the quality of the system. In this study we report the fabrication of a 3D printing assisted microfluidic based absorbance measurement system, leveraging 3D printing along with integrating miniature optical components for the accurate measurement of biological assays. The developed system is rapid, affordable, and compact, through set of computer-aided design models and fusion deposition modeling 3D printing along with relevant electronic circuitry involving optical components like surface mounting devices. The handheld device features a capacitive touchscreen display, programmed to seamlessly perform MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay. The device was employed for assessing the cell viability using Michigan cancer foundation-7 (MCF-7) cell lines over varying concentrations of tamoxifen, reciprocating the MTT assay analysis conducted by using spectrophotometer. The device achieved excellent results which upon comparison with the conventional spectrophotometer-based results have shown a correlation coefficient of 0.98. This compact and rapid absorbance measurement system holds significant potential for evaluating the cytotoxicity of drugs, and further development of innovative analytical devices.