Developed Technique Research Articles

Development of a highly efficient solubilization method for mass spectrometric analysis of phospholipids in living single cells.

Phospholipids are vital constituents of the cell membrane and aid in signal transduction. Phospholipid profiles vary distinctively with the cell type. Notably, specific phospholipid molecules are present in significantly higher or lower concentrations in cancer cells versus normal cells. In this study, live single-cell mass spectrometry (MS) was developed for analyzing phospholipids at the single-cell level. This method facilitates rapid molecular analysis of cells under microscopic observation. For nanoelectrospray ionization, phospholipids were extracted from single cells isolated in a glass capillary through a high-efficiency process. Cell-derived phosphatidylcholines were detected with high sensitivity when trehalose C14 was added as a solubilizing reagent. Trehalose C14 can solubilize cells at low concentrations owing to its low critical micelle concentration, and exerts minimal matrix effects (such as suppressing ionization and causing peak overlap) in the MS analysis of cellular molecules. Analyses of phospholipids in Raji and HEV0070 cells using the developed method revealed specific peaks of phosphatidylcholine and sphingomyelin in the respective cells. The developed technique not only affords phospholipid profiles at the single-cell level, but also holds promise for identifying biomarkers associated with various diseases, particularly cancer.

Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding

Multi-Layer Perceptron (MLP) models are the bedrock of contemporary point cloud processing. However, their complex network architectures obscure the source of their strength. We first develop an “abstraction and refinement” (ABS-REF) view for the neural modeling of point clouds. This view elucidates that whereas the early models focused on the ABS stage, the more recent techniques devise sophisticated REF stages to attain performance advantage in point cloud processing. We then borrow the concept of “positional encoding” from transformer literature, and propose a High-dimensional Positional Encoding (HPE) module, which can be readily deployed to MLP based architectures. We leverage our module to develop a suite of HPENet, which are MLP networks that follow ABS-REF paradigm, albeit with a sophisticated HPE based REF stage. The developed technique is extensively evaluated for 3D object classification, object part segmentation, semantic segmentation and object detection. We establish new state-of-the-art results of 87.6 mAcc on ScanObjectNN for object classification, and 85.5 class mIoU on ShapeNetPart for object part segmentation, and 72.7 and 78.7 mIoU on Area-5 and 6-fold experiments with S3DIS for semantic segmentation. The source code for this work is available at https://github.com/zouyanmei/HPENet.

Improving gallic acid detection in plant samples: Fabrication and optimization of a sensitive and selective NiO-supported carbon paste electrode

In this study, we successfully prepared a modified nickel oxide (NiO) carbon paste electrode to detect gallic acid (GA). NiO nanoparticles were synthesized by the simple, organic solvent-free chemical coprecipitation method, and the electrochemical properties of the electrode and GA were thoroughly investigated using CV, SWV, and EIS, while morphological properties were examined using ICP-OES, TEM, SEM, and XRD. Excellent catalytic characteristics are displayed by the developed material which facilitates the interaction of the target with the electrode surface. The obtained electrochemical information showed that the incorporation of NiO nanoparticles to the carbon paste electrode effectively facilitates electron transfer processes and enriches the catalytic response of the carbon paste electrode. The fabricated NiO/CPE sensor showed a satisfactory linear relationship between peak current and GA concentration in the broad range of 0.2–100 μM and 100–200 μM with a low detection limit of 0.04 μM and limit of quantification of 0.12 μM at pH 3 of BRBS as supporting electrolyte. The selectivity of the proposed method was satisfactory, with acceptable stability, considerable repeatability, and accurate reproducibility. Moreover, the good practicability performance could be effectuated at the NiO/CPE sensor for the quantitative analysis of GA in bourtree, walnut, primrose, and chamomile tea samples. The results were compared with the standard DPPH test and statistical processing of the results was performed, which confirmed the excellent agreement between the two methods. The developed method can provide a cost-effective, rapid, selective, and sensitive means for GA monitoring. When compared to other works, the developed technique has a wider linear range and lower LOD and LOQ, which makes this work a very important reference for the highly sensitive analysis of GA in the field of food safety.

Post-tensioning tendon force estimation of in-service prestressed concrete structure using cylindrical lamb waves

This paper proposes an ultrasonic-based force estimation technique for the post-tensioning (PT) tendon of an in-service prestressed concrete structure. First, three macro fiber composite transducers are installed on the surface of an in-service PT tendon subjected to an unknown tensile force for the generation and measurement of cylindrical Lamb waves. Then, the velocities of the longitudinal and shear waves are calculated using the measured cylindrical Lamb waves at two ultrasonic input frequencies. Subsequently, the Poisson’s ratio, elastic modulus, and strain induced by the PT tendon force are estimated from the longitudinal and shear wave velocities. Finally, the PT tendon force is obtained from the estimated mechanical property values. The experimental validation was performed using a mono-strand PT tendon under various temperature conditions, and the developed technique estimated the unknown PT tendon force in the range of 10–100 kN with a 6.22 kN maximum error and a 2.99 kN root-mean-square error. The uniqueness of this paper includes (1) no requirement for temperature compensation for field deployment, (2) PT tendon force estimation without calibration of the PT tendon force and cylindrical Lamb wave relationship, and (3) easy sensor installation and no interference with the PT construction process.

A combined technique of implantable sensors and probabilistic localization method for monitoring acoustic events on concrete slab

Continuous monitoring of acoustic events in concrete such as cracking and impacting, and providing their location information is a significant topic in structural health monitoring (SHM). This paper develops a combined technique of concrete implantable cube (CIC) and probabilistic localization method to monitor acoustic sources on concrete slabs. The CIC that integrates an octahedron-shaped piezoelectric sensor array can be implanted in concrete structures in long term and supply an omni-dimensional sensing capacity. Aiming at the designed sensor array and the impacts of randomness and heterogeneity of concrete material on the localization accuracy, a probabilistic localization method was proposed. To demonstrate the feasibility of the proposed technique, an experiment including 48 impact tests was conducted on a concrete slab specimen. The acoustic signals received by the implanted CIC were used to reconstruct localization maps to predict the impact areas. The results were quantified using three matrixes including accuracy, precision, and recall; consequently, the accuracy obtained the highest average score close to 0.98 and performed most steadily. In addition, to optimize the proposed technique furtherly, the sensitivity of two key parameters associated with this method were discussed. Overall, the experimental study showed a great potential of this developed technique for long-term monitoring acoustic events on concrete structures.

Experience of using the medical product “Alfasoxx” in treatment of patients with radiation rectit

The radiation rectit is the structural and functional changes in the tissues of the rectum caused by the direct exposure to ionizing radiation. Currently, there is no clear strategy for treating patients with radiation rectit, allowing to achieve a long-term and persistent remission of the disease. The results of comparative research on the using of the developed by us method of treatment of patients with radiation rectit with medical product «Alfasoxx» are presented. The developed technique of complex treatment of radiation rectit with medical product «Alfasoxx» is effective, easy to perform and has reasonable prospects for introduction into the routine practice of a doctor-coloproctologist.

An efficient data sheet based parameter estimation technique of solar PV

This work develops an efficient parameter estimation technique, based on manufacturer datasheet, to obtain unknown parameter of solar photovoltaic (PV), precisely. Firstly, a nonlinear least square objective function, in terms of variables given in manufacturer datasheet, has been developed. Then, two optimization techniques, namely the Particle Swarn Optimization (PSO) and Harmony Search (HS) are applied on the developed objective function to achieve the optimized result. Further, the correctness of the developed technique is tested by estimating the performance indices, namely percentage maximum power deviation index (%MPDI) and overall model deviation index (OMDI), of two different solar PV, viz., Kyocera KD210GH-2PU (poly-crystalline), and Shell SQ85 (mono-crystalline). It is shown that developed method with PSO outperforms the HS. The developed method with PSO gives the values of %MPDI and OMDI of 0.0214% and 0.213, only. Also, the existing methods, based on hybrid, multi-objective function, numerical method, have been considered for the comparative analysis. It is revealed through the comparative studies that the developed method with PSO has smaller value of MPDI (= 0.0041%) and OMDI (0.005) than the other existing methods. Further, the convergence of the developed method has also been estimated to check the speed of estimation. It is shown that the developed technique converges only in 5 s. In addition, the developed technique avoids the need of extensive data as it is based on manufacturer datasheet.

Graphitic carbon nitride supported Gd(OH)3/CuO nano-rods: A high-performance catalyst for electro-catalytic theophylline detection

BackgroundMonitoring the drug components is important to maintain the patient's health. Theophylline (THE) is a drug used to treat asthma, which has serious health consequences if consumed in excess. This drug is also found in food, so the chance of increased consumption must be high. In addition, low levels of medication lead to improper treatment. Therefore, monitoring this type of medication is a crucial factor. MethodsSynthesis of an efficient electrocatalyst, combining gadolinium copper oxide with graphitic carbon nitride (GCO-gCN) via facile hydrothermal method. Physical characterizations validated the GCO-gCN composites, prepared well and highly interconnected. Determining THE through analyzing current responses from GCO-gCN/GCE using cyclic voltammetry (CV), and differential pulse voltammetry (DPV) as an electrochemical sensor. The developed technique was effectively applied to determine THE in food and serum samples, yielding satisfactory outcomes. Significant findingsDetection parameters such as limit of detection (LOD = 9.6 ng/L), sensitivity (0.716 μA/μM cm²), and limit of quantification (LOQ = 29.32 ng/L), were successfully determined. Additionally, the sensors exhibited exceptional interference resistance, high sensitivity, robust stability, and reliable repeatability and reproducibility (RSD < 5 %). This study underscores the GCO-gCN/GCE composite's potential as a highly efficient material for sensitive and reliable THE detection.

A simpler technique for determining substitutional solute-screw dislocation interaction energies in BCC structures useful for estimating solid solution screw strengthening

A new simpler method of calculating solute-screw dislocation interaction energies in BCC structures using a combination of row potential formalism and non-linear elasticity dilatational field at the core of screw dislocations is presented. Such a technique is used with simple interatomic potentials as well as first principles calculations and applied to solutes in pure Nb, NbTaTi and NbTiZr. The row potential results are compared with direct calculations of solute – screw dislocation core interaction energies and shown to be in fairly good agreement. The significance of this developed technique aims at expediting the design processes for body-centered cubic refractory complex concentrated alloys, renowned for their robust high-temperature strength, which hold immense promise in aerospace applications. The method's rapid and dependable nature offers a valuable tool for tailoring and optimizing the properties of these alloys, facilitating their potential use in high-performance aerospace engineering.

4D Printing of Bioartificial, Small‐Diameter Vascular Grafts with Human‐Scale Characteristics and Functional Integrity

AbstractA novel developed 4D bioprinting technique is used for the manufacturing of human‐scale, small‐diameter vascular grafts. Accordingly, a bio‐ink is synthesized from a hybrid molecule containing sodium alginate (SA) and collagen peptide (COP). Endothelial progenitor cells (EPC) isolated from human whole blood are integrated into the bioartificial vascular graft as an autologous cell source. Likewise, human umbilical vein endothelial cells (HUVEC) are used as experimental standard. The evolving vascular grafts are printed by a customized 4D bioprinter into CaCl2 support medium for rapid cross‐linking inducing the temporospatial shaping of the grafts. After culturing for 21 days, histological and ultrastructural analyses of the bioartificial vascular grafts reveal a well‐organized matrix with imbedded EPC or HUVEC. Live‐3D‐cell–imaging and cell viability assays demonstrate a multitude of vital and metabolically active cells. Biomechanics of the grafts are proven to be comparable to human saphenous veins. Coagulation analysis reveals low thrombogenicity and high functional integrity of the vascular grafts. Surgical implantation of the grafts in a perfused cadaver model can be performed effectively and without technical issues. Finally, the current study describes for the first time the 4D bioprinting and characterization of a small‐diameter, human‐scale vascular graft for putative clinical translation.

Multiplex PCR for detection of camel milk adulteration with cattle and goat milk

Determination of adulteration in raw milk has become increasingly important from the viewpoint of food safety and quality. The present study aimed to detect the adulteration of camel milk with cattle and goat milk by multiplex PCR technique based on amplification of the Cytochrome b gene. The developed technique successfully amplified the target fragment of 208 bp (Camel), 274 bp (cattle), and 174 bp (goat) of the gene. The amplified products were sequenced for further verification and submitted to NCBI GenBank. The limit of quantification (LOQ) for camel, cattle and goat were 2 × 10−6 ng μL−1, 2 × 10−7 ng μL−1 and 2 × 10−2 ng μL−1 respectively. The limit of detection (LOD) of cattle and goat milk in camel milk was found to be 10% and 5%, respectively. Results of the present study indicated that the multiplex PCR analysis is a useful technique for authentication of camel milk and detection of its adulteration with cattle and goat milk.

Affordable method for batch supercritical extraction using solid carbon dioxide–Extraction of cannabis threshing residues

The change in the existing regulations in different countries regarding cannabis crops management and trading has enabled the commercial exploitation of the plant parts and of their extracts, metabolites and derivatives. Industrially, key metabolites such as cannabinoids and terpenoids are commonly extracted from the flowers by using supercritical CO2. However, supercritical units require an extremely high capital investment even at low production capacities becoming a main drawback for exploratory and de-risking research stages. In this direction, this works aims to assess a low-cost CO2 supercritical extraction technique for exploratory experiments employing solid CO2 (known as dry ice) within a high-pressure vessel. By heating the solid CO2 within the vessel, supercritical conditions can be achieved enabling extraction and recovery of the extract by subsequent depressurization. P-V-T curves were experimentally obtained to determine the required dry ice loadings to achieve specific supercritical conditions. Evaluated ranges corresponded to temperatures in-between 291 and 365 K, specific molar volumes of 47–90 mL/mol and the corresponding pressures ranging between 54 and 300 bar. Subsequently, the developed technique was validated in the lab-scale for the supercritical extraction of cannabis sativa threshing residues at CO2 loadings of 0.63–0.73 g/mL, temperatures between 313 and 343 K and the corresponding pressures of 91–176 bar. The proposed technique enabled extraction yields of 3.9–6 % wt. with respect to dry biomass, with cannabinoids contents in extracts of 191.86 mg/g for CBD and 28.48 mg/g for THC. Results were comparable with those obtained in commercial supercritical equipment.

Development and validation of a method for the quantitative determination of metoprolol succinate in the air of the working area by high-performance liquid chromatography using mass spectra

Introduction. Metoprolol is a cardioselective blocker of β-adrenergic receptors. Drugs containing metoprolol have hypotensive, antianginal, antiarrhythmic effects. Moderately dangerous when taken orally, has a general toxic effect. Metoprolol is produced in two forms: in the form of salts of tartaric and succinic acids, the approximate safe level of exposure to which is 0.3 mg/m3. To ensure the safety of workers, it is necessary to carry out sanitary and hygienic air control. Methods for the quantitative analysis of metoprolol in the air of the working area, presented in the current scientific literature, allow monitoring only for metoprolol salts in the form of tartrate. &#x0D; The aim of the study is to develop and validate an analytical method for the quantitative determination &#x0D; of metoprolol succinate in the air of the working area by HPLC-MS. &#x0D; Materials and methods. For the analysis, standard samples of metoprolol succinate and air samples taken at all stages of the life cycle of the production of the drug metoproolol were used. Chromatographic separation and detection were performed on an Agilent 1260 Infinity G6125B high performance liquid chromatograph (Agilent Technologies, USA) equipped with a column and sample thermostat, a degasser, a pump, an autosampler, and a G6125B mass selective detector. A Waters Xbridge® C18 3.5 µm column was used; 2.1×30 mm (Waters, Ireland). Primary data were processed using Open Lab CDS ChemStation Edition (Rev. C.01.07 SR3) software (Agilent Technologies, USA).&#x0D; Results. A method for the quantitative determination of metoprolol succinate in air samples by HPLC-MS has been developed and validated. During the validation of the developed methodology, it was found that the validation characteristics (specificity, linearity, accuracy and precision, correctness, reproducibility) are within the acceptance criteria. The analytical range of the technique was 0.1–10.0 µg/ml and allows the developed technique to be used to control the average shift MPCs in the air of the working area.&#x0D; Limitations. The results of the study of the air in the working area are applicable only to the production of the drug metoprolol in the form of tablets; the study of air during the synthesis and packaging of the active pharmaceutical substance was not carried out. &#x0D; Conclusion. An analysis of air samples from the production of the drug metoprolol was carried out and the safety of working conditions was proved.

RP-HPLC METHOD DEVELOPMENT AND VALIDATION FOR QUANTITATIVE ESTIMATION OF TEMOZOLOMIDE AND (S) - PERILLYL ALCOHOL IN NANOPARTICULATE DOSAGE FORM

A quick reverse-phase high-performance liquid chromatography (RP-HPLC) approach for the quantitative measurement of temozolomide (TMZ) and (s) - perillyl alcohol [(S)-POH] in a nanoparticulate system was developed and validated in the current work. The RP-HPLC method for the simultaneous estimation of TMZ and (S)-POH was developed using Agilent (Infinity 1260) HPLC system and ZorbaxC18 (4.6 x 150 mm i.d., 5µ; Agilent) as stationary phase. The optimized mobile phase comprised of ACN: water: MeOH (42:12:46 V/V/V; 42:08:50 V/V/V and 20:30:50 V/V/V) pumped at a flow rate of 0.8 mL min-1, 0.8 mL min-1 and 1 mL min-1, respectively. Drug separation was accomplished in an isocratic mode, and a PDA detector operating at 210 nm was used to track elution. The procedure was validated in accordance with ICH-Q2R1 standards. The responses of TMZ and (S)- POH were found to be linear at 50-175 μg mL-1 (ACN: water: MeOH 42:12:46 V/V/V and 42:08:50 V/V/V) and 50-175 μg mL-1 (ACN: water: MeOH 20:30:50 V/V/V) respectively. The percent recovery was determined to be between 97% and 103%, demonstrating that the method’s accuracy was adequate. The precision study’s percent relative standard deviation (% RSD) was less than 2, indicating the accuracy of the suggested procedure. It was discovered that the established method for the quantitative determination of TMZ and (S)- POH in bulk and in hollow gold nanoparticles was accurate, precise, and specific. The developed technique can be applied to TMZ and (S)- POH routine testing and quality control in bulk and nanoparticulate systems.

Therapeutic Monitoring of Flutamide Using Aggregated Surface Enhanced Raman Spectroscopy (SERS) Substrates

It is essential to monitor the blood level of flutamide (FLT) during prostate cancer treatment since the abnormal renal elimination due to pathophysiological factors hinders attaining steady-state drug concentration. This study reports a systematic investigation of aggregation of silver nanoparticles (AgNPs) based on Hofmeister effect and eventual change in surface-enhanced Raman spectroscopy (SERS) enhancement for the determination of FLT. Among the aggregants, MgSO4 showed the maximum enhancement. The concentration of MgSO4, pH, and duration of aggregation were optimized for FLT detection. The aggregated AgNPs (a-AgNPs) SERS substrate enhanced the Raman signal of FLT by up to five-orders of magnitude under optimized conditions. The developed technique was able to determine FLT from 0.25 × 10−3 μM to 250 μM with a limit of detection (LoD) of 1 pM. The application of the SERS substrate in practical analysis has been demonstrated using FLT-spiked human serum from 0 nM to 1000 nM with a detection limit of 0.3 nM. The reported Hofmeister series of AgNPs aggregation will assist in the development of SERS substrates for other analytes.

Cetyl trimethyl ammonium bromide-modified magnetic biochar-integrated sand filter for microplastics removal from secondary-treated sewage effluents: Performance evaluation and mechanistic insights

Microplastics (MPs) discharge from effluent of sewage treatment plants (STPs) has prompted the need for effective treatment techniques. In this context, the present study provides insights on the preparation and use of cetyl trimethyl ammonium bromide (CTAB)-modified magnetic biochar (MBC-CTAB) as an adsorbent and integrated it in a sand filter for improved MPs removal from aqueous matrices. Rice husk biochars were synthesized, surface modified with FeCl3 and CTAB, and assessed for their MPs removal efficiency. Effects of various factors were analyzed from synthetic water spiked with 1 μm sized polystyrene MPs during batch and fixed-bed column studies. Optimal conditions yielded a maximum MPs removal of >97 % with MBC-CTAB at 7 mg/50 mL, pH 4, mixing speed of 180 rpm for 3 min during batch studies. Adsorption kinetics followed the pseudo-second-order model (R2 = 0.91), and the Langmuir model (R2 = 0.94) described the adsorption isotherm with a maximum capacity of 247 mg/g. Column studies removed ∼98 % MPs in real-time secondary sewage effluents using MBC-CTAB-integrated sand filter at flow rate: 5 mL/min, bed height: 4 cm, and MPs concentration: 7 mg/L. Electrostatic and hydrophobic interactions, hydrogen bonding, and pore-filling were the key MPs removal mechanisms. The application of the developed technique in efficient MPs removal highlights its practical relevance as sustainable approach for removing MPs from sewage effluents, which is a shared global concern.

Study of stress corrosion cracking susceptibility of irradiated ferrite-martensitic stainless steel 07Kh12NMFB in supercritical water. Part 2. Development of corrosion crack identification technique and analysis of autoclave test results

The studies of stress corrosion cracking have been carried out for the stainless ferritic-martensitic steel with chromium content of 12% irradiated to a damage neutron dose of ~12 dpa. This steel was chosen as a candidate material for the internals of supercritical water-cooled reactors (SWCR).The first part of the paper was devoted to autoclave testing of specially designed disk specimens under constant load in a supercritical water environment (at 450°C and 250 atm pressure). In this part of the article the developed technique for corrosion cracks identification is presented and analysis of autoclave tests results is performed.As a result of the experiments performed, the threshold stress values below which stress corrosion cracking initiation doesn’t occur. The values of threshold stresses are determined for the studied steel irradiated at temperatures of 390 and 550°C. Possible mechanisms of stress corrosion cracking of the studied steel are analyzed and directions for further research are proposed.

Design optimisation of structures made of a small number of prescribed building blocks

Modular structures have attracted significant interest due to their potential to decrease manufacturing cost and time. While the design of modular structures has been extensively explored in the context of topology optimisation, the design of structures made of prescribed building blocks remains understudied. This lack of focus contrasts with the common engineering practice, where structures are typically constructed using prescribed elements, and also with natural structures that usually grow out of a limited number of different building blocks. Therefore, the current study aims to perform design optimisation of structures made of a small number of prescribed building blocks. To achieve this goal, a sequential linear programming-based method is employed to customise the global material distribution. In addition, two structural modification schemes are proposed to enhance the connections between adjacent blocks. Several numerical examples are presented to demonstrate the effectiveness of the proposed approach. The results show that the developed technique is capable of creating high stiffness structures using various given block sets. In addition, different block sets can lead to structures with similar overall layouts but different periodic infill patterns, making the tool useful in situations where diverse solutions are in demand.

A tolerant hydrologic technique for real-time selection of optimum QPFs from NWPMs for flood warning applications.

The most important information required to successfully issue a flood warning is the quantitative precipitation forecasts (QPFs). This is important to run subsequent rainfall-runoff simulations. A rainfall-runoff simulation derives its accuracy mainly from the accuracy of the input QPFs. The dynamically based global numerical weather prediction models (NWPMs) are strong candidate sources of QPFs. A main problem is the real-time selection of which NWPM should be used to provide the QPFs for flood warning simulations. This paper develops an automated technique to solve this problem. The technique performs real-time comparisons with measured rainfall fields using a novel 'tolerant' hydrologic approach. The 'tolerant' approach performs the comparison on the basin scale and allows for timing shifts in the forecasts. This is because QPFs can be good but only a few hours early or late. Two events are used for illustration, and the proposed real-time application in flood warning is presented. The developed technique, employing the tolerant approach, could eliminate the effects of the timing shifts and, accordingly, succeeded to select the QPFs to be used. A Python package was developed for automation. The developed technique is expected to also be useful for offline assessments of historical performances of NWPMs.

Computation of corona generated ionic current environment of unipolar UHVDC transmission lines using gas bimolecular collision theory

Corona on UHVDC transmission line conductors initiates corona power loss and the inevitable ionic current flow environment at ground level. To limit this substantial flow of ionic current at ground levels, it is necessary to establish an appropriate line design configuration, including the diameter of the line conductor and the height level above the ground. It is a tedious and expensive process to establish this appropriate line design solely based on experimental findings. Hence, the computational based numerical analysis with the support of final experimental validation aids in arriving at a safe and optimal transmission line design dimension configuration. Thus, the ionic current flow environment of UHVDC transmission lines may be characterized by ionized space charge density, ionic current flow, and electrical field distribution. To estimate this ionic current flow, it is necessary to estimate the ionized space charge density in the ionization region, which incorporates the solution of the Poisson's equation. It is intricate to solve Poisson's equation with known boundary conditions: as ionization process depends on the atmospheric parameters also. Multiple computational techniques are developed to estimate the corona generated ionic current environment under the HVDC lines by waiving these atmospheric parameter effects and claims the lack of computational accuracy. In this paper, the unipolar corona equation, usually called Poisson's equation was solved by estimating the space charge ion density using the concept of gas bimolecular collision theory. The gas bimolecular collision theory inculcates the procedure to estimate the collisional reaction rate constant between the gas molecules at given atmospheric temperature and pressure parameters. Therefore, this paper developed a unique equation solution for the estimation of transition of the ionic current magnitudes at known atmospheric temperature and pressure ambient conditions. This unique equation solution prevents the multiple actual testing procedures offers to obtain safe and optimal line design dimension configurations. Multiple experimental studies are carried out up to ± 900 kV to compare the computed results in the outdoor and indoor climatic conditions at the ultra-high voltage laboratory, CPRI. Also, the computed results are compared with the results published in the literature. Based on the comparison of results, the developed computational technique exactly matches the experimental results and claims improved accuracy compared to other computational techniques.