Family Of Hydrocarbons Research Articles

Exploring the possibility of polycyclic aromatic hydrocarbons and fulleranes as the carrier of the 21 micron emission feature

IntroductionThe 21 μm emission feature discovered in a small sample of carbon-rich protoplanetary nebulae has remained unidentified for over 30 years. A dozen of different molecular species (both organics and inorganics) have been proposed as the carrier candidates of this important feature, among which polycyclic aromatic hydrocarbons (PAHs) and fulleranes (hydrogenated fullerenes) have yet to be sufficiently examined.MethodIn this study, we attempt to fit the 21 μm features in observed spectra of the above-mentioned astronomical sources via theoretically simulated spectra of various PAHs and fulleranes, aiming to investigate whether the two hydrocarbon families can reproduce the 21 μm feature.Results and DiscussionBased on the fitting outcomes we conclude that fulleranes can provide a more plausible explanation for the origin of 21 μm feature than PAHs.

Introducing Phosphorus into the Overcrowded Thiele's hydrocarbon Family: Unveiling Contorted Main Group Diradicaloids with Dynamic Redox Behavior

AbstractThiele's Hydrocarbons (THs) featuring a 9,10‐anthrylene core with switchable geometric and electronic configurations offer exciting possibilities in advanced functional materials. Despite significant advances in main group‐based diradicaloids in contemporary chemistry, main group THs containing an anthrylene cores have remained elusive, primarily due to the lack of straightforward synthetic strategies and the inherent high reactivity of these species. In this study, we utilize an anthracene‐based phosphine synthon to demonstrate, for the first time, a facile and high‐yielding synthetic strategy for robust P‐functionalized overcrowded ethylenes (OCEs) within the TH family. These OCEs feature a non‐symmetric environment, incorporating (thio) xanthyl and phosphaalkene termini. We systematically probe the electronic structures of these derivatives to illustrate the impact of the isolobal phosphaalkene motif on the quinoidal/diradicaloid character. Notably, the compounds exhibit dynamic redox behavior, leading to orthogonally twisted conformational changes upon oxidation, with a kinetically locked redox‐couple.

Phytochemical Profiling of Aquilaria malaccensis Lam. Essential Oils and their Antiproliferative Potential against HeLa Human Cervical Cancer Cells

Background: Aquilaria malaccensis Lam. is one of the very few lign-aloes trees that can produce highly valuable resin-impregnated heartwood, commonly known as agarwood. Aim: This study aimed to determine the chemical profile of A. malaccensis essential oil and describe its antiproliferative effects against the HeLa cervical cancer cell line for the first time. Method: The essential oils hydro-distilled from agarwood were characterised using GC−MS with the aid of spectral deconvolution. The antiproliferative effects were evaluated via the MTT assay. Result: A total of 143 metabolites were tentatively identified in two different grades of essential oils, which accounted for 56.80% and 78.19% of the total ion counts, respectively. These metabolites were distributed over the chemical families of monoterpenes, sesquiterpenes, cyclic hydrocarbons, and others. The essential oils exhibited antiproliferative activities, with IC50 values of 79.42 and 128.77 μg/mL, respectively. Conclusion: The results have suggested the chemical differences in secondary compounds to be the main factor contributing to the decrease in cell viability. Further investigations are warranted to understand its mechanisms of action and its potential use in cervical cancer treatment.

Pyrolysis and Physicochemical, Thermokinetic and Thermodynamic Analyses of Ceiba aesculifolia (Kunth) Britt and Baker Waste to Evaluate Its Bioenergy Potential.

Ceiba aesculifolia is an important species in Mexico that generates significant amounts of biomass waste during its exploitation, which can be utilized to produce energy. This study presents the characterization of this waste based on chemical (proximal and elemental) and thermal analyses (TGA-DTG) at different heating rates (β = 10-30 °C/min (283-303 K/min)) in the presence of nitrogen and in a temperature range of 25-900 °C. Kinetic parameters were calculated and analyzed as well. Activation energy (Ea) and the pre-exponential factor (A) were determined using the Friedman (132.03 kJ/mol, 8.11E + 10 s -1), FWO (121.65 kJ/mol, 4.30E + 09), KAS (118.14 kJ/mol, 2.41E + 09), and Kissinger (155.85 kJ/mol, 3.47E + 11) kinetic methods. Variation in the reaction order, n (0.3937-0.6141), was obtained by Avrami's theory. We also calculated the thermodynamic parameters (ΔH, ΔG, ΔS) for each kinetic method applied. The results for Ea, A, n, ΔH, ΔG, and ΔS show that this biomass waste is apt for use in pyrolysis. Moreover, the moisture (<10%), ash (<2%), volatile material (>80%), and HHV (>19%) contents of C. aesculifolia allowed us to predict acceptable performance in generating energy and fuels. Finally, infrared spectroscopy analysis (FT-IR) allowed us to identify important functional groups, including one that belongs to the family of the aliphatic hydrocarbons.

Utilizing biological experimental data and molecular dynamics for the classification of mutational hotspots through machine learning.

Benzo[a]pyrene, a notorious DNA-damaging carcinogen, belongs to the family of polycyclic aromatic hydrocarbons commonly found in tobacco smoke. Surprisingly, nucleotide excision repair (NER) machinery exhibits inefficiency in recognizing specific bulky DNA adducts including Benzo[a]pyrene Diol-Epoxide (BPDE), a Benzo[a]pyrene metabolite. While sequence context is emerging as the leading factor linking the inadequate NER response to BPDE adducts, the precise structural attributes governing these disparities remain inadequately understood. We therefore combined the domains of molecular dynamics and machine learning to conduct a comprehensive assessment of helical distortion caused by BPDE-Guanine adducts in multiple gene contexts. Specifically, we implemented a dual approach involving a random forest classification-based analysis and subsequent feature selection to identify precise topological features that may distinguish adduct sites of variable repair capacity. Our models were trained using helical data extracted from duplexes representing both BPDE hotspot and nonhotspot sites within the TP53 gene, then applied to sites within TP53, cII, and lacZ genes. We show our optimized model consistently achieved exceptional performance, with accuracy, precision, and f1 scores exceeding 91%. Our feature selection approach uncovered that discernible variance in regional base pair rotation played a pivotal role in informing the decisions of our model. Notably, these disparities were highly conserved among TP53 and lacZ duplexes and appeared to be influenced by the regional GC content. As such, our findings suggest that there are indeed conserved topological features distinguishing hotspots and nonhotpot sites, highlighting regional GC content as a potential biomarker for mutation. Code for comparing machine learning classifiers and evaluating their performance is available at https://github.com/jdavies24/ML-Classifier-Comparison, and code for analysing DNA structure with Curves+ and Canal using Random Forest is available at https://github.com/jdavies24/ML-classification-of-DNA-trajectories.

Introducing Phosphorus into the Overcrowded Thiele's hydrocarbon Family: Unveiling Contorted Main Group Diradicaloids with Dynamic Redox Behavior.

Thiele's Hydrocarbons (THs) featuring a 9,10-anthrylene core with switchable geometric and electronic configurations offer exciting possibilities in advanced functional materials. Despite significant advances in main group-based diradicaloids in contemporary chemistry, main group THs containing an anthrylene cores have remained elusive, primarily due to the lack of straightforward synthetic strategies and the inherent high reactivity of these species. In this study, we utilize an anthracene-based phosphine synthon to demonstrate, for the first time, a facile and high-yielding synthetic strategy for robust P-functionalized overcrowded ethylenes (OCEs) within the TH family. These OCEs feature a non-symmetric environment, incorporating (thio) xanthyl and phosphaalkene termini. We systematically probe the electronic structures of these derivatives to illustrate the impact of the isolobal phosphaalkene motif on the quinoidal/diradicaloid character. Notably, the compounds exhibit dynamic redox behavior, leading to orthogonally twisted conformational changes upon oxidation, with a kinetically locked redox-couple.

Exploratory study on low-GWP working fluid mixtures for industrial high temperature heat pump with 200 °C supply temperature

The development of an industrial high temperature heat pump (HTHP) using a subcritical vapor-compression cycle (VCC) for process heat delivery at 200 °C faces significant challenges due to the scarcity of suitable single-component working fluids. These challenges are further compounded by safety, environmental concerns, material and lubrication oil compatibility and cost considerations. In response, this study investigates the potential of various fluid mixtures to meet these stringent criteria. Using the REFPROP and Cantera software libraries, a Python code was developed to simulate a simplified HTHP VCC with an advanced cycle architecture and assess the flammability risks of the proposed mixtures. Ten single-component fluids of two different families of compounds, hydrocarbons (HCs) and hydro(chloro)fluoroolefins (H(C)FOs), were pre-selected as promising candidates as mixture components. From these, over 460,000 binary, ternary, and quaternary mixtures were generated and evaluated for cycle performance. Although no mixture perfectly met all the predefined criteria, a binary blend of cyclopentane and R1336mzz(Z) in a mole fraction of 0.68 and 0.32, respectively, emerged as the most promising candidate. This mixture demonstrated the best balance of performance and safety under the imposed constraints and is selected for further experimental investigation and validation in a specially designed test rig.

Influence of the Presence of Sulfur and Oxygen Atoms on Molecular, Thermodynamic and Transport Properties in Hydrocarbon Mixtures

Introduction: Crude oil is a complex blend of various hydrocarbon families, with compositions that vary depending on the source well and exploitation duration. To categorize its constituents, SARA analysis divides them into saturated, aromatic, resins, and asphaltenes. Heavy asphaltene- rich crude oils can present challenges like viscosity and pipeline blockages, which are often addressed with viscosity-reducing additives. However, a theoretical framework explaining how these additives affect crude oil is lacking, relying primarily on empirical observations. To optimize these additives, it is crucial to understand the underlying chemical and physical processes. This study hypothesizes that asphaltenic crude oils influence viscosity through colloidal properties linked to molecular interactions. Methods: The research aimed to analyze the impact of sulfur in asphaltenes and oxygen in flow improvers on the transport properties of an idealized crude oil, with the goal of predicting additive feasibility. A methodology that combined computational quantum chemistry and statistical thermodynamics was used. An idealized model of crude oil was created, consisting of non-polar alkanes and polar asphaltenes with sulfur atoms. A flow improver was simulated with an aromatic-aliphatic structure containing oxygen and hydroxyl groups, and viscosity was calculated. Results: This study assessed the transport properties of the mixture using principles of statistical thermodynamics. The theoretical insights revealed that reducing viscosity in asphaltene-rich crude oils with additives depends on several critical factors, including the formation of the dispersed phase, the reduced viscosity of the additive, and the effects of dilution. The research identified a strong link between the enhanced effectiveness of these additives and their structural and molecular properties. Conclusion: The theoretical results suggest that additives that act as viscosity reducers in asphalt crudes achieve optimal performance when they possess both higher polarity and reduced viscosity.

Enhanced photocatalytic degradation of polycyclic aromatic hydrocarbons (PAHs) Using NiO nanoparticles

The oncogenic and genetic properties of anthracene, a member of the polycyclic aromatic hydrocarbons (PAHs) family, pose a significant health threat to humans. This study aims to investigate the photocatalytic decomposition of anthracene under various conditions, such as different concentrations of PAHs, varying amounts of NiO (nickel oxide) nanoparticles, and different pH levels under ultraviolet light and sunlight. The synthesized NiO nanoparticles showed surface plasma resonance at 230 and 360 nm, while XRD and SEM analysis confirmed the nanoparticles were cubic crystalline in structure with sizes ranging between 37 and 126 nm. NiO nanoparticles exhibited 79% degradation of pyrene at 2 μg/mL of anthracene within 60 min of treatment. NiO at 10 μg/mL concentration showed significant adsorption of 57%, while the adsorption method worked efficiently (72%) at 5 pH. Photocatalytic degradation was confirmed by isotherm and kinetic studies through monolayer adsorption and pseudo-first-order kinetics. Further, the absorption process was confirmed by performing GC-MS analysis of the NiO nanoparticles. On the other hand, NiO nanoparticles showed antimicrobial activity against Gram negative and Gram-positive bacteria. Therefore, the present work is one of its kind proving the dual application of NiO nanoparticles, which makes them suitable candidates for bioremediation by treating PAHs and killing pathogenic bacteria.

Ab initio kinetics of OH-initiated oxidation of naphthalene: A comprehensive revisited study

Naphthalene, the most prevalent and smallest member of the Polycyclic Aromatic Hydrocarbons (PAHs) family, has garnered significant scientific attention for its harmful environmental impacts and those of its degradation products. In this work, we comprehensively recharacterized the gas-phase reaction of naphthalene with OH radicals in a wide range of conditions (T = 200–2000 K &P = 0.76–7600 Torr), covering both atmospheric and combustion chemistry. Within the Rice–Ramsperger–Kassel–Marcus (RRKM)-based master equation framework, the detailed kinetic model was constructed on the potential energy surface explored at the ROCBS-QB3//M06–2X/aug-cc-pVTZ level of theory. Our model not only helps to resolve the existing large discrepancy (up to ∼1000 times) among the previously reported rate constants but also reveals mechanistic insights, including time-resolved species profiles and product distribution, for naphthalene transformation. It is shown that although naphthalene cannot be considered a persistent organic compound (POP) due to its rapid reaction with OH radicals, its chemical conversion can generate harmful substances such as O3 and carcinogenic derivatives. Also, the detailed conversion of naphthalene in water was investigated for the first time, revealing that naphthalene and its important degradation products pose a significant danger to aquatic life as hazardous pollutants.

Comment on “Polycyclic aromatic hydrocarbons containing antiaromatic chalcogenopyrano[3,2-b]-chalcogenopyrans” by W. Chen, H. Zong, Y. Xie, J. Xu, J.-W. Cai, S.-D. Wang and G. Zhou, Org. Chem. Front., 2024, 11, 390

A recent article by Zhou, G. et al. (Org. Chem. Front, 2024, 11, 390) reports the global aromaticity of a family of polycyclic hydrocarbons.

Probabilistic and Sensitivity Risks Calculation Using the Monte Carlo Simulation Due to Polycyclic Aromatic Hydrocarbons Exposure in the Coastal Area of Makassar

Purpose: This study aimed to estimate the health hazards associated with exposure to the PAHs pollutants and to simulate the probability and sensitivity for both dermal contact and ingestion exposures by using the Monte Carlo Simulation tool. Theoretical reference: The most dangerous contaminants in the hydrocarbon family are polycyclic aromatic hydrocarbons (PAHs). Due to their mutagenic and carcinogenic characteristics, it is hazardous to both communities and aquatic life when present in the maritime coastal environment. Method: The study's methodology involved the use of observational analytics and an approach for assessing health risks. Monte Carlo simulation was used to simulate the probabilistic risks and the sensitivity of all parameters. For twenty sites around Makassar City's coastal area, all water samples were taken. All samples were cleaned up and sent into a gas chromatography-mass spectrometer (GCMS Shimadzu QP2010, with a detection limit of 0.001 ppb) after being extracted using a soxhlet apparatus for identification. Results and Conclusion: Stations 8 and 4 had the highest and lowest total PAH values, respectively, of 2.50 g/l and 0.12 g/l, respectively. These facts showed that PHAs from Makassar City's coastline water had been contaminated with PAHs. The highest risk (HQ) for a kid ingesting water was at station 14, and the highest risk (HQ) for an adult ingesting water was at station 15. Additionally, the highest hazards (HQ) attributable to dermal contact for both adults and children were 1.58 at station 8 and 1.03 at station 15, respectively. Conclusion: Based on the water parameter, the majority of Makassar City's coastal areas have been contaminated by PAHs. Implications of research: This research become a model design of how to manage the PHAs pollutants in order to minimize the communities health risks and the environment. Originality/value: this research have a methods of calculating and simulation of how to reduce the potential expose of communities, including children and adults, to possible health concerns from PHAs water exposure from Makassar City's coastal waters through ingestion and skin contact.

Lateral epitaxial growth of two-dimensional organic heterostructures.

Two-dimensional organic lateral heterostructures (2D OLHs) are attractive for the fabrication of functional materials. However, it is difficult to control the nucleation, growth and orientation of two distinct components. Here we report the combination of two methods-liquid-phase growth and vapour-phase growth-to synthesize 2D OLHs from perylene and a perylenecarboxaldehyde derivative, with a lateral size of ~20 μm and a tunable thickness ranging from 20 to 400 nm. The screw dislocation growth behaviour of the 2D crystals shows the spiral arrangement of atoms within the crystal lattice, which avoids volume expansion and contraction of OLH, thereby minimizing lateral connection defects. Selective control of the nucleation and sequential growth of 2D crystals leads to structural inversion of the 2D OLHs by the vapour-phase growth method. The resulting OLHs show good light-transport capabilities and tunable spatial exciton conversion, useful for photonic applications. This synthetic strategy can be extended to other families of organic polycyclic aromatic hydrocarbons, as demonstrated with other pyrene and perylene derivatives.

The potential protective and therapeutic effects of cannabidiol oil on experimental Leukemia induced by DMBA in male rats.

7,12-Dimethylbenzanthracene (DMBA) is a member of the polycyclic aromatic hydrocarbon family. Itis a member of the polycyclic aromatic hydrocarbon family. It is a mutagenic, carcinogenic, and immunosuppressor agent. Cannabidiol (CBD) is a phytocannabinoid. It has anticonvulsant, anti-inflammatory, anti-anxiety, antioxidant, and anti-cancer properties.The purpose of this study was to investigate the possible protective and therapeutic benefits of CBD oil in DMBA-induced leukemia in rats. Experimental animals were divided into six groups of five rats each. Group 1 (normal control) included healthy rats. Group 2 included normal rats thatreceived olive oil. Group 3 included normal rats that received CBD. Group 4 included theDMBA-induced leukemic group. Group 5 (prophylactic group) included rats thatreceived CBD as a prophylaxis before IV injection with DMBA. Group 6 (treated group) included DMBA-induced leukemic rats that received CBD as treatment. Liver functions (total, direct and indirect bilirubin, alkaline phosphatase (ALP), alanine transaminase (ALT), aspartate aminotransferase (AST), albumin, globulin, and albumin globulin ratio) were measured. Superoxide dismutase (SOD) and catalase (CAT) were also measured. Total RNA extraction followed by-real time qRT-PCR gene expression of LC3-II, Beclin, mTOR, and P62 was performed. Histopathological examination of liver and spleentissues was performed. Administration of CBD in groups 5 and 6 resulted in a significant improvement ofthe levels of liver functions compared to theleukemic untreated rats. Also, the levels of catalase and SOD significantly increased after treatment with CBD compared to the leukemic group. After treatment with CBDin groups 5 and 6, there were downregulations in the expression of all studied genescompared to leukemic untreated rats. Treatment with CBD was more statistically effective than prophylactic use. Administration of CBD resulted in a significant improvement in the biochemical, antioxidant status, morphological, and molecular measures in DMBA-induced leukemia in adult male rats. The therapeutic use was more effective than the prophylactic one.

Quantifying isomeric effects: A key factor in aviation fuel assessment and design

Isomeric structural differences can profoundly influence hydrocarbon properties of importance to aviation turbine fuels. This is particularly true for alternative fuels that often contain fewer components than conventional fuels, making isomeric differences more impactful. The inability of standard analytical methods to distinguish isomers within a hydrocarbon family poses a significant challenge for the assessment and formulation of jet fuels. Such missing information leads to considerable uncertainties in model predictions used for fuel assessment, or aircraft and jet engine design. This work explores the influence of isomers on critical fuel properties using quantitative metrics from the chemical family, size, topology, and, particularly, branching. Isomeric property ranges within a given hydrocarbon class are deduced from a database study. The extent of these intra-hydrocarbon group property ranges is related to the change conferred via shifting to adjacent carbon numbers and dissimilar hydrocarbon families. This approach shows that isomeric information is as critical, if not more, for properties such as viscosity and freeze point, as carbon number and hydrocarbon class. This perspective significantly changes from the historical focus on carbon numbers and group-type analysis procedures. The correlations identified in this study can serve as a foundation for improving chemometrics. This, in turn, can enhance the accuracy of model-based property prediction and facilitate the design of new sustainable aviation fuels at a component level.

Recent Contributions on Heteropoly Compounds as Suitable Catalysts in Selective Oxidation of Organic Substrates

Abstract: Organic transformations under suitable environment-friendly conditions have a great impact on the Green Chemistry area. In this context, heteropoly compounds (HPCs) have received considerable attention due to their ability to act as solid catalysts, with the advantage of being used and reused for different organic transformations without appreciable loss of their catalytic activity. In this review article, we report the recent results (2010-2022) obtained for the selective oxidation of organic substrates using a clean oxidant, such as oxygen or aqueous hydrogen peroxide, and HPCs as catalysts. Some of the investigated substrates correspond to the families of hydrocarbons, alcohols, phenols, aldehydes, ketones, amines, and sulfides, among others.

The production of hydrogen through microwave-initiated catalytic dehydrogenation of model hydrocarbon compounds on Fe/AC catalyst without significant CO2 emissions

The utilization of hydrogen as a fuel source through the microwave-initiated catalytic deep-dehydrogenation (MICDD) of Saudi Arabian light crude oil (LCO) using Fe metal supported on activated carbon has been proposed for this study to achieve the current target of limiting global warming to 1.5 °C above pre-industrial levels. Should renewable technologies, for example, wind and solar, be not able to decarbonise the energy industry sufficiently in the near future, other approaches are needed to generate energy without the emission of massive amounts of aerial carbon (CO2). The composition of crude oil varies depending on its source; however, it is mainly composed of three families of hydrocarbons (paraffins, naphthenes, and aromatics). The aim of this work is to gain an understanding into the contribution of a single hydrocarbon model compound and combinations of these model compounds in proportions close to their real proportions in the LCO preparing a “synthetic crude oil”. In this work, hexadecane, cyclohexane, and benzene, toluene, and xylene (BTX) were selected to closely represent paraffins, naphthenes, and aromatics respectively. It was found that this as a facile route to produce both high concentrations of hydrogen from hexadecane (~90 vol. selectivity) and significant amounts of carbon multiwalled nanotubes over 30 wt. % Fe/AC catalyst at 1000 W input power. The results highlighted the effect of the composition of crude oils on the efficiency of H2 production and showed that paraffinic feedstock was relatively better for producing H2 among other hydrocarbons, and the presence of cyclic hydrocarbons, particularly aromatics, may inhibit H2 production. Importantly, this process creates solid carbon as a by-product of the process instead of CO2 and therefore does not contribute to climate change. The approach also has the potential to synthesise other high-value hydrocarbons as by-products.

The Impacts of Petroleum on Environment

Petroleum is a mixture of many different hydrocarbon compounds, most of which primarily contain carbon and hydrogen in varying proportions. Monocyclic aromatic hydrocarbons, which are small, explosive, and volatile, to large, non-volatile, are all included in the mixture of hydrocarbons. Toxicological effects of a hydrocarbon depend on its molecular weight, family of hydrocarbons, creature exposed to it, and life-cycle stage of the exposed organism. Studies have shown that exposure to the toxic chemicals in crude oil, such as para-phenol compounds and volatile benzene, might have an adverse effect on human health. Furthermore, when there is an oil spill at sea, the wind and water currents disperse the oil, causing a thin slick to migrate across the ocean’s surface. There are numerous simultaneous chemical and physical changes. Reviewing the long-term effects of petroleum on the environment is the aim of this paper in terms of the impact on human health, plants, and marine life.

Buried and surface oil degradation – Evaluating bioremediation to increase PAHs removal through linear mathematical models

A bioremediation approach with tide simulation for buried and surface oil degradation was tested for removal of two, three and four rings polycyclic aromatic hydrocarbons (PAHs). Linear models depicted degradation constants of individual PAH as simple additive function of their initial concentrations (C0) in contaminated sand, hydrophobicity, sampling layer and treatment conditions. For all PAHs and treatment conditions, the degradation of oil in buried layers was faster than at the surface. Naturally-occurring microorganisms proved to be efficient for bioremediation of PAHs and were stimulated by fertilizer addition (biostimulation, BS). Bioaugmentation (BA) by addition of a slurry of a native oil-degraders pre-stimulated consortium did not show faster PAH degradation than BS. Degradation was more rapid for PAH present at low C0 and with intermediate hydrophobicity. Bioremediation of beach sand either with surface or buried crude oil is a cost-effective strategy to clean-up different hydrocarbon families, including persistent ones, such as PAHs.

Analysis of the Relationship between the Low-Temperature Properties and Distillation Profiles of HEFA-Processed Bio-Jet Fuel

The greenhouse gas (GHG) emission mandate on jet fuel requires a gradual reduction in the fuel’s GHG emissions, up to 50%, by 2050. For this reason, the demand for bio-jet fuel blended with conventional petroleum-derived jet fuel will increase. In order to meet the quality requirement of blended fuels (ASTM D7566), modeling that can predict the correlation between properties is required. Our aim was to predict the low-temperature properties using the distillation profile results obtained from Simulated Distillation (SIMDIS) according to the carbon number and chemical compositions of bio-jet fuel through correlation and regression analysis. We used hydroprocessed ester and fatty acid (HEFA) bio-jet fuel and hydrocarbon reagents that included C8, C10, and C12 carbons and five main families of hydrocarbons for blended jet fuel. This study shows an overall trend for each component, indicating that the distilled volume fraction is more affected than the carbon number. In the case of the freezing point, by composition, n-paraffin and naphthene have regression coefficients of more than 0.85 for the 50% and 60% recovery temperatures, respectively. In terms of carbon number, the C8 sample has a significant regression coefficient for the 40% recovery temperature, and C10 has a significant regression coefficient for the initial boiling point (IBP) and 10% recovery temperature. In the case of kinematic viscosity, by composition, the regression coefficient is significant for the 20% to 40% recovery temperatures. For naphthene, the kinematic viscosity exhibited no relationship with carbon number. This information can be utilized to determine the blended ratio of bio-jet fuel and conventional jet fuel in newly certified or commercial applications.