Comprehensive Analysis Method Research Articles

Comparative analysis of plasma affinity depletion methods: Impact on protein composition and phosphopeptide abundance in human plasma.

Affinity-based protein depletion and TiO2 enrichment methods play a crucial role in detection of low-abundant proteins and phosphopeptides enrichment, respectively. Here, we assessed the effectiveness of HSA/IgG (HU2) and Human 7 (HU7) depletion methods and their impact on phosphopeptides coverage through comparative proteome analysis, utilizing in-solution digestion and nano-LC-Orbitrap mass spectrometry (MS). Our results demonstrated that both HU2 and HU7 affinity depletion significantly decreased high-abundant proteins by 1.5-7.8-fold (p<0.001). A total of 1491 proteins were identified, with 48 proteins showing significant expression in the depleted groups. Notably, cadherin-13, neutrophil defensin 1, APM1, and desmoplakin variant protein were exclusively detected in the HU2/HU7-depleted groups. Furthermore, study on effect of depletion on phosphopeptides revealed an increase in tandem MS spectral counts with notable decrease (∼50%) in peptide spectrum matching in depleted groups, which was attributed to significant reduction in protein counts. Our post translation modification workflow for phosphoproteomics detected 42 phosphorylated peptides, corresponding to 12 phosphoproteins with unique peptide match ≥2 (high false discovery rates confidence). Among them, 10 phosphorylated proteins are highly expressed in depleted groups. Overall, these findings offer valuable insights in selection of protein depletion methods for comprehensive plasma proteomics analysis.

TOWARDS A NEW PARADIGM: SHIRKAH PRODUCT AND SERVICE INNOVATION IN FACING THE CHALLENGES OF THE MODERN ECONOMY IN THE DIGITAL AGE

The increasing complexity of the modern economy in the digital era, accompanied by global and regional economic challenges, drives the need for adaptive and sustainable innovation of Islamic financial products and services. This study aims to analyze the potential and challenges of implementing shirkah contracts in the development of innovative products and services in Islamic financial institutions. Using the method of comprehensive literature review and comparative analysis of the implementation practices of shirkah contracts in various global Islamic financial institutions, this study found that shirkah contracts have a flexible and adaptive framework for the development of innovative products and services that are in accordance with the needs of the modern economy such as MSME financing, sharia fintech, and sharia investment. Challenges in the implementation of the shirkah contract include aspects of regulation, governance, and financial literacy. Therefore, this study recommends innovative strategies and solutions to overcome challenges and optimize the potential of shirkah contracts in facing the digital era.

Chemical composition analysis of Qingyan dropping pills using ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry.

This study developed a method for the rapid classification and identification of the chemical composition of Qingyan dropping pills (QDP) to provide the theoretical basis and data foundation for further in-depth research on the pharmacological substance basis of the formula and the selection of quality control indexes. Ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) and data postprocessing technology were used to analyze the chemical composition of QDP. The fragmentation information on possible characteristic fragments and related neutral losses was summarized based on the literature and was compared with the MS data obtained from the assay, and thus a rapid classification and identification of chemical components in QDP could be achieved. A total of 73 compounds were identified, namely 24 flavonoids, 14 terpenoids, 30 organic acids and their esters, 3 alkaloids, and 2 phenylpropanoids. In this study, UHPLC-Q-TOF-MS and data postprocessing technology were used to realize the rapid classification and identification of the chemical constituents of QDP, which provided a comprehensive, efficient, and fast qualitative analysis method, a basis for further quality control and safe medication of QDP.

Exploring the Relationship Between Atorvastatin and Memory Loss: A Comprehensive Analysis Integrating Real-World Pharmacovigilance and Mendelian Randomization.

Atorvastatin is a drug widely used to prevent cardiovascular and cerebrovascular diseases. Current observational studies suggest that atorvastatin may be associated with cognitive dysfunction (especially memory loss). However, some studies have suggested that dyslipidemia may be an important factor in cognitive dysfunction. The purpose of this study was to perform a pharmacovigilance analysis using real-world data from the US Food and Drug Administration's Adverse Event Reporting System (FAERS) to assess whether memory loss is an adverse effect of atorvastatin and to further clarify its causality through Mendelian randomization (MR). We extracted real-world data from the FAERS database (Quarter 1 2004 to Quarter 1 2023). Disproportionality analysis methods and measures of association such as the reporting odds ratio (OR), proportional reporting ratio, Bayesian confidence interval progressive neural network, and polynomial Gamma Poisson distribution reduction were used to assess whether memory loss was an adverse effect of atorvastatin. In addition, we used MR to evaluate causality in depth. In the pharmacovigilance analysis of atorvastatin, we extracted four datasets of clinical symptoms associated with memory loss from the FAERS database [Amnesia (n = 1196), Memory impairment (n = 840), Transient global amnesia (n = 38), and Retrograde amnesia (n = 9)]. The reporting OR, proportional reporting ratio, Bayesian confidence interval progressive neural network, and Gamma Poisson distribution reduction all showed positive results for amnesia, transient global amnesia, and retrograde amnesia, while the reporting OR and Bayesian confidence interval progressive neural network also showed positive results for memory disorders. Thus, memory loss was a frequent side effect of atorvastatin. The MR analyses were used to further evaluate the association between statins and memory loss. The results of the MR analysis (statins and memory loss) are as follows: Ivw (mre) (β = 0.11 [OR = 1.11], P = 0.01 < 0.05) and the OR and β directions of MR-Egger and weighted mode were the same. The results of the MR analysis (statins and mitochondrial DNA copy number) are as follows: Ivw(mre) (β = -0.03 [OR = 0.96], P < 0.01) and the OR and β direction of MR-Egger and weighted mode are the same. The results of the MR analysis (DNA copy number and memory loss) are as follows: Ivw(β = - 0.06 [OR = 0.94], P = 0.04 < 0.05) and the OR and β direction of MR-Egger and weighted mode were the same. The pleiotropy test did not find horizontal diversity in our results. This study suggests that memory loss is a notable adverse event associated with atorvastatin and provides evidence indicating a potential causal relationship between atorvastatin and memory loss. We also found that statins may further affect memory by affecting mitochondrial function. Therefore, in the clinical use of atorvastatin, it is important to carefully monitor the changes in cognitive function of patients. Second, a pharmacovigilance analysis combined with MR was used in this study to provide a new approach for the study of adverse drug reactions. This comprehensive analysis method helps to evaluate the safety of drugs and the risk of adverse reactions more comprehensively and provides doctors with a more accurate clinical decision-making basis.

A comprehensive energy flow analysis method based on hydrogen energy to electric energy conversion

Abstract With increasing global concerns about climate change, more and more countries and regions are turning to sustainable energy, and hydrogen energy, as one of the representatives of clean energy, is gradually becoming one of the key areas for development in various countries. Due to its high energy density, easy storage, and pollution-free characteristics, hydrogen energy has been widely used in fields such as automobiles, aviation, and petrochemicals. In the automotive industry, hydrogen energy, as a renewable and clean energy source, has become one of the development directions. Compared to traditional fuel, hydrogen-powered vehicles not only achieve zero emissions but also have higher energy efficiency and can achieve longer range. Currently, multiple countries around the world are accelerating the promotion of hydrogen-powered vehicles and building related infrastructure such as hydrogen refueling stations. In the aviation field, hydrogen energy also has broad application prospects. Traditional aviation fuel contains a lot of hydrocarbons, so the pollution problem of the aviation industry has been a concern. As a clean and renewable energy source, hydrogen energy not only solves the pollution problem in the aviation industry but also has a very high energy density, providing sufficient power to support aircraft flight. In addition to the automotive and aviation fields, hydrogen energy can also be widely used in the petrochemical industry. Currently, traditional petrochemical production processes emit many harmful substances such as carbon dioxide, greatly affecting environmental quality. By using hydrogen energy, harmful substances such as carbon dioxide generated in traditional petrochemical processes can be converted into renewable resources, thus achieving an environmentally friendly, efficient, and sustainable production model.

Research on Evaluation and Prediction Method of Electrical Life of Contactor Individual

Aiming at the problem of electrical life prediction of AC contactor individual, considering that characteristic information and degradation trend of different life stages are different, a comprehensive electrical life analysis method is proposed. First, based on uncertainty reasoning, initial electrical life is qualitatively evaluated to realize an early warning for contactor with poor performance. Secondly, real‐time monitoring of performance degradation inflection point is used to realize the determination of degradation stage. With degradation stage matching mechanism, the quantitative prediction of remaining useful electrical life is realized based on performance inflection point and Elman neural network, thus forming an effective monitoring of the operation state in full life cycle. It is verified by experiment that the proposed method can accurately evaluate initial life grade and predict remaining useful life after performance inflection point. Compared with other methods, the information of electrical life for contactor individual can be accurately and comprehensively obtained. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Основные подходы в информационном обеспечении проектов на получение государственной поддержки компаниями несырьевого сектора

The relevance of the chosen topic is justified by the need to research and develop measures aimed at reducing the negative impact of the unpredictable environment of the Russian economy in the face of overcoming economic sanctions. One of such measures of state support could be an information system for participants in foreign economic activity, taking into account the main approaches in information support of projects funded from the federal budget. The development of the system is based on marketing research of participants in foreign economic activity. As part of the development of measures of state support, market research includes expert assessment, methods of comparison and grouping, index method, and matrix algebra, i.e., it is based on methods of comprehensive analysis of economic activities. The tools under consideration allow forecasting practical results of project evaluation and analysis receiving state support. In conclusion, by integrating theoretical insights with practical methodologies, stakeholders can navigate complex economic environments and capitalize on emerging opportunities. Moving forward, continued research and innovation in information support systems will be essential for promoting sustainable development and resilience in the face of economic challenges.

Dynamic Analysis of Street Trees in Vehicle-mounted LiDAR Point Clouds

Street trees, as key elements of urban road scenes, play a significant role in the overall ecological environment and aesthetics of city roads through their dynamic growth and changes. With the continuous development of urban roads, the growth conditions of street trees are also constantly changing. Therefore, studying how to infer the dynamic changes of roads through the variations in street trees is a highly valuable technical issue. This paper delves into several critical parameters of street trees, including diameter at breast height (DBH), tree height, trunk height, crown volume, and crown spread. By updating these parameters, determining transplantation and replanting decisions, and analyzing growth states, we comprehensively analyze the dynamic changes of street trees. To achieve this goal, we integrated multiple parameters into the analysis process of street trees and established a comprehensive analysis system centered on the DBH parameter. Combining this with data visualization technology, we provide an intuitive dynamic analysis method. Experimental results indicate that, compared to single-parameter analysis methods, the multi-parameter comprehensive analysis method demonstrates higher accuracy and stronger persuasive power in the study of dynamic changes in street trees, thereby validating the superiority and practicality of the proposed research algorithm. This research can provide more scientific and reliable references for urban road planning and management.

Urban greening as a sustainable solution to heat stress in tropical cities: a case study of Monrovia in Liberia

Urbanization and climate change pose significant challenges to cities worldwide, increasing heat stress issues. Monrovia, Liberia, is currently undergoing rapid urban expansion, which exacerbates the urban heat island (UHI) phenomenon. Consequently, this raises the risk of heat stress, including adverse health effects and higher energy demands. The objective of this study is to present a comprehensive overview of Monrovia, with a specific focus on addressing/analyzing its urban greening initiatives and evaluating their effectiveness in mitigating the challenges posed by heat stress. A critical Evaluation was also conducted on the existing urban greening initiatives in Monrovia and its effect on land usage. To achieve this, comprehensive analysis methods, such as green infrastructure assessment and examination of satellite imagery, are employed. The data utilized for this study is collected from a comprehensive network centered around a single station, namely Roberts International Airport. This study aims to provide evidence-based insights into the potential of urban greening as a sustainable strategy to mitigate heat stress in tropical urban environments. Additionally, the research aims to offer recommendations for optimizing and implementing urban greening initiatives to enhance Monrovia's resilience against rising temperatures and urbanization.

Research on the application of improvisation in creative design process

This work explores the evolution of improvisation and its consequences in the design domain, focuses on its applicative value within the design process, dives into the significance of improvisation in design, and presents a team-based creative design framework anchored in improvisation. Utilizing an approach integrating theoretical synthesis and methodological practice, this study comprehensively analyzes team design processes and activities, along with an examination of the challenges encountered by design teams. To investigate how to incorporate improvisation into the design process, this study employs the method of theoretical integration and comprehensive analysis of method practice, summarizes the team design process and design activities, and analyzes the problems and challenges faced by the team design. In the face of problems such as poor communication, lack of motivation, exhaustion of inspiration, and fixed thinking faced by design teams during the creative conception stage, improvisation encourages designers to explore any possible ideas and creates a relaxed and humorous design environment, which can effectively break the fixed thinking of design, expand creative thinking space, promote team cooperation and communication, and improve team collaboration efficiency.

Sustainable Renewable Energy Resources in Comoros Islands

Sustainable Renewable Energy Resources in Comoros Islands

Overview on Spectral Analysis Techniques for Gamma Ray Spectrometry

Gamma-ray spectrometry (GRS) is an exploration technology that distinguishes itself from other non-contact sensing technologies because it provides information from 30 to 50 cm below the ground. This technology has evolved through three significant turning points in mapping output. The first turning point, in the 1960s-1970s, was the transition from U concentration maps to weathered zoning maps utilizing K or eTh. The second turning point, occurring from the 1980s to 1990s, was marked by the application of radionuclide mapping to assess radioactive contamination. A third turning point, in the early 2000s, was the development of soil maps for precision agriculture, supported by the free statistics software R. This paper reviews advances in gamma-ray spectrometry spectral analysis since 2000. Traditionally, the gamma-ray spectrum is depicted as a two-dimensional graph with energy on the horizontal axis and counts on the vertical axis. The NASVD and MNF methods, developed around 2000, necessitate a reevaluation of this concept. By conducting principal component analysis of the gamma-ray spectrum in hyperspace, these techniques have unveiled new spectra, such as ground and sky spectra, and have facilitated the removal of noise components from the gamma-ray spectrum. Naturally occurring gamma-ray spectra typically exhibit energies ranging from 0.04 to 3 MeV. Observations from fusion reactors measure energies up to 20 MeV for diagnostics of nuclear plasma. These spectra may yield valuable insights when applied to innovative statistical analysis techniques. A comprehensive spectral analysis method developed in the early 2000s has demonstrated the potential to extract a variety of information beyond window nuclides, previously unexplored. The regression coefficient plots from the PLSR regression model have revealed novel spectral images. This model is set to influence future research on GRS by expanding the number of objectives and covariates. The innovative calibration method for full-spectrum analysis, which assesses different concentration areas, has proven that calibration is achievable even in the absence of a calibration pad. It is expected to become a formidable approach for spectrum analysis in the upcoming period.

Characterisation and critical processes identification for production of herbal preparations using 1H-NMR and chemometrics: A case study of Trichosanthis Pericarpium injection.

Herbal preparations are extensively utilised for the treatment of diseases in Asian countries. However, the variations in origin, climate, and production processes can lead to inconsistencies in the quality of herbal preparations. Existing quality control methods only target a few components in the finished product but ignore the control in the pharmaceutical process. Therefore, this study intends to develop a comprehensive component analysis method for intermediates in the pharmaceutical process to reveal the change patterns of substances and deepen the process understanding. This study aims to develop a rapid and comprehensive process characterisation and critical process identification method for herbal preparations. Six batches of Trichosanthis Pericarpium injection (TPI) intermediates were collected from the production process. Proton nuclear magnetic resonance (1H-NMR) spectra were acquired for qualitative and quantitative analysis of the se intermediates. Subsequently, chemometrics were used to identify critical processes and potential chemical markers. A total of 39 components in intermediates were identified, and the transfer of 25 components during the production process was investigated. Column chromatography was determined as the critical process. Nine components were identified as chemical markers. The application of 1H-NMR facilitated a comprehensive reflection of the chemical composition information of process intermediates, enabling investigations into the transfer of multi-component substances and accurate identification of critical processes and chemical markers.

Research on the potential mechanism of Deapioplatycodin D against pulmonary fibrosis based on bioinformatics and experimental verification

BackgroundPulmonary fibrosis (PF) is a group of respiratory diseases that are extremely complex and challenging to treat. Due to its high mortality rate and short survival, it's often referred to as a “tumor-like disease” that poses a serious threat to human health. ObjectiveWe aimed validate the potential of Deapioplatycodin D (DPD) to against PF and clarify the underlying mechanism of action of DPD for the treatment of PF based on bioinformatics and experimental verification. This finding provides a basis for the development of safe and effective therapeutic PF drugs based on DPD. MethodsWe used LPS-induced early PF rats as a PF model to test the overall efficacy of DPD in vivo. Then, A variety of bioinformatics methods, such as WGCNA, LASSO algorithm and immune cell infiltration (ICI), were applied to analyze the gene microarray related to PF obtained from Gene Expression Omnibus (GEO) to obtained key targets of PF. Finally, an in vitro PF model was constructed based on BEAS-2B cells while incorporating rat lung tissues to validate the regulatory effects of DPD on critical genes. ResultsDPD can effectively alleviate inflammatory and fibrotic markers in rat lungs. WGCNA analysis resulted in a total of six expression modules, with the brown module having the highest correlation with PF. Subsequently, seven genes were acquired by intersecting the genes in the brown module with DEGs. Five key genes were identified as potential biomarkers of PF by LASSO algorithm and validation dataset verification analysis. In the ICI analysis, infiltration of activated B cell, immature B cell and natural killer cells were found to be more crucial in PF. Ultimately, it was observed that DPD could modulate key genes to achieve anti-PF effects. ConclusionIn short, these comprehensive analysis methods were employed to identify critical biomarkers closely related to PF, which helps to elucidate the pathogenesis and potential immunotherapy targets of PF. It also provides essential support for the potential of DPD against PF.

Potential Inhibitors of Lumpy Skin Disease's Viral Protein (DNA Polymerase): A Combination of Bioinformatics Approaches.

Lumpy skin disease (LSD), caused by a virus within the Poxviridae family and Capripoxvirus genus, induces nodular skin lesions in cattle. This spreads through direct contact and insect vectors, significantly affecting global cattle farming. Despite the availability of vaccines, their efficacy is limited by poor prophylaxis and adverse effects. Our study aimed to identify the potential inhibitors targeting the LSDV-encoded DNA polymerase protein (gene LSDV039) for further investigation through comprehensive analysis and computational methods. Virtual screening revealed rhein and taxifolin as being potent binders among 380 phytocompounds, with respective affinities of -8.97 and -7.20 kcal/mol. Canagliflozin and tepotinib exhibited strong affinities (-9.86 and -8.86 kcal/mol) among 718 FDA-approved antiviral drugs. Simulating the molecular dynamics of canagliflozin, tepotinib, rhein, and taxifolin highlighted taxifolin's superior stability and binding energy. Rhein displayed compactness in RMSD and RMSF, but fluctuated in Rg and SASA, while canagliflozin demonstrated stability compared to tepotinib. This study highlights the promising potential of using repurposed drugs and phytocompounds as potential LSD therapeutics. However, extensive validation through in vitro and in vivo testing and clinical trials is crucial for their practical application.

A Study of the Kharkiv Architectural Avant-Garde

The article addresses the issue of preserving Kharkiv’s architectural heritage from the first third of the 20th century. The main focus is on the preservation of authenticity of the early modernist heritage in the context of a crisis situation associated with the overall state of heritage preservation in Ukraine and during active military operations. The research was conducted in the context of the planning development and spatial structure of the Kharkiv historical center and suburbs, where new workers’ settlements were formed, as well as considering the architectural layers within the structure of historical districts of Kharkiv. The main objective of the study is to determine the value and authenticity of the architectural heritage of early modernism. The study employed the methods of historical, retrospective, and comprehensive analysis. The general plan of the “Socialist Reconstruction of Kharkiv” from 1931-1933 and the historical-architectural reference plan of Kharkiv from 2019 were analysed as additional sources. The research results provide comprehensive information about the architectural and urban heritage of this period and emphasize the attention to the issue of preservation of authenticity. The conclusions of this work will serve as a basis for further development of specific measures for the conservation, restoration, and preservation of historical monuments in Kharkiv from the first third of the 20th century. The research will also contribute to raising public awareness about the value of early modernist architectural heritage and encourage the implementation of restoration programs to preserve these important landmarks.

Error Modeling and Accuracy Analysis of Parallel Robots for Spacecraft Docking Motion Simulation System

Background:: A large number of on-orbit docking dynamics experiments are conducted in the spacecraft docking motion simulation system with the development of Chinese space science and technology, and therefore, the requirement for high-precision parallel robots has increased. The pose accuracy of parallel robots is one of the most important problems in this application. Objective:: In order to evaluate the pose accuracy of parallel robots in advance, a comprehensive pose accuracy analysis method considering major error sources is presented in this paper, and the influence of major error sources on the pose accuracy is also investigated to summarize the statistics and propagation characteristics of the pose error. Methods:: The first-order error model for the parallel robot is established based on a generalized error model for each hydraulic cylinder and a sensitivity analysis method. Using the error model, a statistical approach to the parallel robot pose accuracy analysis is presented, and the influence of different parameter errors and different poses on the pose accuracy of the parallel robot is investigated. Sensitivity analysis is applied to evaluate the contribution of each parameter error to the position and orientation error of the parallel robot. An automated pose accuracy analysis program that computes and graphically displays the position and orientation error distributions and the sensitivity analysis results is developed. Results: The statistical analysis results of the influence of different parameter errors and different poses on pose accuracy are obtained by using the automated pose accuracy analysis program. The means of the position and orientation errors are close to zero. The standard deviations in the x and y directions are larger than those in the z direction, and these standard deviations are amplified with the increase of the parameter errors. For the given elevation, sensitivity analysis to various parameter errors is performed. It is found that the length error sensitivities of the hydraulic cylinders are less than one, and position error sensitivities of the hook joints A4, A5, and A6 are much greater than those of hook joints A1, A2 and A3. Conclusion:: The elemental error sources belong to one of two groups, i.e., those affecting the hydraulic cylinder length and those affecting the hook joints. The distributions of the position and orientation errors are consistent with statistics theories. The parallel robot is more sensitive to the errors affecting the hook joints than those affecting the hydraulic cylinder length. These will help the designers and users of the parallel robot understand the statistics and propagation characteristics of the pose error. Some recent patents on error modeling and kinematic calibration of parallel robots are also discussed in this article.

Production of meat and processed products in the conditions of technological modernization of agro-industrial complex of the East Kazakhstan region

Goal - the current situation and promising directions for the development of meat industry in the East Kazakhstan region are considered, and limiting factors for its growth are identified. During the research process, in the context of a comprehensive analysis, calculationconstructive, statistical-economic, expert, and monographic methods were used. Results – an assessment of the main parameters of livestock complex and meat processing sector in the Eastern region over the past five years is presented. Based on the results of the study, it was revealed that there are positive changes in meat sector, but overall production is not efficient enough. The authors note the lack of raw materials and high cost of raw materials. Food imports occupy a significant place, and small-scale production of farms leads to decrease in the competitiveness of goods produced. Conclusions – the results of the study made it possible to substantiate the most optimal directions for increasing the volume of meat product subcomplex and expanding meat products market through effective government regulation, development of cooperative and integration relations between agricultural producers and processing industry enterprises, allowing the creation of cooperatives that contribute to increasing the size of production and processing of meat products. As economic measures, it is advisable to stimulate supply and demand for food products, preferential lending throughout the entire cycle of obtaining products and selling them on domestic and foreign markets. The authors focus on the need to find options for reducing costs of production processes, implementing innovative projects and forming cluster-type associations. The creation of new enterprises (meat processing plants, poultry farms) will create new jobs and increase the income of the population.

Analyzing the Relationship Between Risk and Return in the Equity Stocks of Ten selected Companies Over Five years: An In –Depth Study

This study delves into the relationship between risk and return in the equity stocks of ten selected companies over five years. Employing comprehensive data analysis and statistical methods, including beta analysis and Sharpe ratio assessments, it aims to uncover patterns and correlations. The findings offer valuable insights for investors and portfolio managers, aiding in informed decision-making and risk management strategies.

Less is more: Validating a single method for comprehensive rh-insulin analysis

The objective of this current study is to establish a single method for potency and related proteins analysis of human insulin formulations using reverse-phase high performance liquid (RP-HPLC) chromatography technique which was validated and verified for the potency analysis in insulin formulations. Chromatographic separation was achieved using an octadecylsilane (C-18) stationary phase and a mobile phase composed of 55% (v/v) buffer (0.2 M sodium sulfate in water, {pH 2.3}) and 45% (v/v) acetonitrile. Detection was performed by UV detector at 214 nm with a flow rate of 1 ml/min and an injection volume of 20 µL, at 40°C. Currently there are separate methods available in Indian Pharmacopoeia for analysis of Potency and Related proteins in human insulin. We have validated a single method where quantitation of potency and related proteins can be performed in the same run. The method validation exhibited linearity over the concentration range of 0.08–4.5 mg/ml (r2=0.999) with limit of detection of 0.094 mg/ml The accuracy of the method was 99–102.8%. Thus, it is proposed that both potency and related proteins in insulin formulations can be precisely evaluated using a single run thus saving the time and cost for quality analysis of insulin preparations both at manufacturing and regulatory laboratories which in turn will increase the market availability of such standard quality insulin preparations for public health use.