Chromatographic Data Research Articles

Comparison of Gap-Segment and Savitzky-Golay Algorithms in Forensic Discrimination of Soils Based on Ultra-Performance Liquid Chromatography Data

Comparison of Gap-Segment and Savitzky-Golay Algorithms in Forensic Discrimination of Soils Based on Ultra-Performance Liquid Chromatography Data

Correctness of the van 't Hoff analysis for homogeneous or heterogeneous retention

It is already known that the physical meaning of the numerical values of the calculated enthalpy (ΔH) and entropy (ΔS) change in chromatography via the van 't Hoff plot analysis is rather questionable. In the former work of these authors, it has been demonstrated that by serially coupling two reversed-phase columns of the same inner diameter but of different retention mechanism, the obtained thermodynamic values are not related to the numerical results obtained on the individual columns respectively. Since surface heterogeneity of the stationary phase is intrinsically present in chiral chromatography (enantioselective and non-selective sites), the calculation of ΔH and ΔS should be revisited in that field.In this study, more details of the pressure dependence were investigated. Using special POPLC columns, the effect of the column length on the calculated thermodynamic values was investigated. The calculated values differ by 30–400% when the column length is increased from 4 cm to 12 cm. The dependence of the calculated results on the applied flow rate was already highlighted earlier, and here the emphasis was put on the instrument on which the separation was performed. It turns out that there is a difference when using a Shimadzu HPLC system compared to using a Waters Acquity UPLC system.Because the Eyring method serves as an alternative route to calculate the thermodynamic values from chromatographic data, the differences obtained by the two methods were also investigated.

Virtual chiral recognition of eugenol derivatives on amylose tris(3-chloro-5-methylphenylcarbamate) chiral stationary phase in unusual normal-phase mode

Chromatographic enantioseparation on polysaccharide-based chiral stationary phases has undergone explosive development over the last three decades as a method for separating the enantiomers of chiral compounds on an analytical and preparative scale. In this context, understanding the nature of the intermolecular interactions involved in retention and recognition processes is an interesting scientific challenge. In the present study, three eugenol derivatives were used as chiral references to elucidate some unexplored aspects of the enantioselective and retention properties of the Chiralpak IG-U chiral stationary phase based on amylose-tris(3-chloro-5-methylphenylcarbamate).The performance of the ultra-high performance liquid chromatography chiral packing material Chiralpak IG-U was evaluated using a two-step approach. First, binary mixtures containing variable proportions of alcohol (ethanol or 2-propanol) in n-hexane were used as mobile phases and the retention factors were recorded at three different temperatures. A rational analysis of this set of chromatographic data shows the leading role played by hydrogen bond between the OH group linked to the stereogenic centre of the analytes and the active sites of the chiral chromatographic material in obtaining a high degree of enantioseparation.The retention factors were then plotted against the percentage of alcohol modifiers to obtain retention maps with a non-linear performance trend with correlation factors >0.9990.The proposed retention map model was used to extrapolate and describe virtual chiral recognition of chiral analytes on the Chiralpak IG-U chiral stationary phase under extreme elution conditions with expected run times of hundreds or thousands of years. The presented virtual chiral recognition approach is based on a generic concept and therefore opens new possibilities for understanding the performance of other polysaccharide-based chiral stationary phases.

Exploring thermal isomerisation in gas chromatography analyses using natural pyrethrins: Comparison of comprehensive two-dimensional and one-dimensional gas chromatography

This study aims to assess and qualitatively compare the visual presentation of chromatographic data from the isomerisation of natural pyrethrins – a group of pesticides derived from Chrysanthemum flowers – using one-dimensional gas chromatography (1DGC) and comprehensive two-dimensional gas chromatography (GC×GC). Molecular structural changes, such as thermal isomerisation in this case, occur during gas chromatography injection and separation, to provide characteristic patterns which may not be routinely recognised on the 1D chromatogram. To demonstrate the influence of analytical method parameters on isomerisation processes, variations in oven temperature (isothermal vs. temperature programmed analysis), inlet mode (split vs. splitless), inlet temperature, and carrier gas flow rate were investigated. Increasing oven temperature was the most significant factor affecting isomerisation. Splitless injection mode and increasing inlet temperature promoted isopyrethrin formation, while the effect of inlet temperature appeared minimal with a split injection technique, most likely due to the short residence time in the inlet. Increased carrier gas flow rates in a temperature programmed analysis reduced retention time and minimised isomerisation. The unique presentation of isopyrethrin peaks on a GC×GC contour plot allows for facile recognition of isomerisation especially at low concentrations, simplifies chromatogram interpretation, and aids in analyte identification. It also confirms that the isomerisation process is irreversible since the pyrethrin I and II compounds are absent throughout the bridge formation. These benefits support the use of GC×GC over 1DGC to study isomerisation. Additionally, due to limited data in the literature, Kováts retention indices and linear retention indices of the natural pyrethrins, including isopyrethrins, were experimentally determined on four columns: DB-5 ms UI, Rxi-17Sil MS, SLB-IL60i, and SLB-IL111i.

Are You Ready to Switch to Comprehensive Two-Dimensional Gas Chromatography?

In the past two decades, comprehensive two-dimensional gas chromatography (GC×GC) has progressed from an interesting concept to the forefront of thinking and research in gas chromatography. Especially when combined with mass spectrometry detection, GC×GC provides high resolution, high sensitivity, and massive chromatographic data sets, which is useful in diverse fields such as petroleum analysis, metabolomics, food, flavor, fragrance, and environmental analysis. In this installment, recent developments in GC×GC that make it more amenable for routine use are discussed. These include advances in instrumentation, especially modulation, column sets, data analysis, and the range and types of samples amenable to GC×GC. We will ponder the question – are you ready to make the switch to GC×GC?

Optimization of an analytical method based on SPME-Arrow and chemometrics for the characterization of the aroma profile of commercial bread

A SPME-Arrow GC-MS approach, coupled with chemometrics, was used to thoroughly investigate the impact of different types of yeast (sourdough, bear's yeast and a mixture of both) and their respective leaving time (one, three and five hours) on VOCs of commercial bread samples. This aspect is of paramount importance for the baking industry to adjust recipe modifications and production parameters, as well as to meet consumer needs in formulating new products.A deep learning approach, PARADISe (PARAFAC2-based deconvolution and identification system), was used to analyse the obtained chromatograms in an untargeted manner. In particular, PARADISe, was able to perform a fast deconvolution of the chromatographic peaks directly from raw chromatographic data to allow a putatively identification of 66 volatile organic compounds, including alcohols, esters, carboxylic acids, ketones, aldehydes. Finally, Principal Component Analysis, applied on the areas of the resolved compounds, showed that bread samples differentiate according to their recipe and highlighted the most relevant volatile compounds responsible for the observed differences.

Characterization of Upper Cretaceous Matulla and Wata clastic reservoirs from October field, Central Gulf of Suez, Egypt

The objective of this study was to integrate petrographic thin sections, SEM, XRD, routine core analysis, gas chromatography, and wireline logs to present a comprehensive petrographic and petrophysical assessment of the shallow marine clastic reservoirs of the Coniacian-Santonian Matulla Formation and upper Turonian Wata Formation from the October field, Central Gulf of Suez Basin. The fine to very fine-grained glauconite-bearing subarkose quartz arenites of the Matulla and Wata reservoirs exhibit good intergranular primary porosity with good pore connectivity. Moderate to slight compaction and grain to grain pressure solution resulted in a slightly inhomogeneous packing of framework grains. Feldspar dissolution contributed to the secondary porosity which improved the reservoir quality, while quartz overgrowth and minor calcite cementation are inferred as porosity destroying diagenetic agents. Pore-filling kaolinite and clay phases also had a negative effect on reservoir storage capacity. Routine core analysis indicated > 20% porosity and up to 412 mD permeability in the meso-megaporous sandstones of both the reservoirs. Permeability anisotropy analysis of Matulla samples indicates the dominance of primary depositional fabric and isotropic pores with minor scattered/connected horizontal pores and vertical pore connectivity. Wireline log-based quantitative petrophysical assessments exhibit low shale volume and higher hydrocarbon saturation (up to 80%) on both the reservoirs, which is also supported by the gas chromatography data confirming the presence of oil in the Matulla, and Wata pay zones based on interpreted gas balance, wetness, and character ratios. The study concludes excellent reservoir properties in the Upper Cretaceous clastic intervals of the October field.

Molecular Screening with Liquid Chromatography Coupled to Ultra-High-Resolution Mass Spectrometry: Chromatographic Methods and Data Treatment for Application to Complex Organic Matter in Astrophysical Materials

Molecular Screening with Liquid Chromatography Coupled to Ultra-High-Resolution Mass Spectrometry: Chromatographic Methods and Data Treatment for Application to Complex Organic Matter in Astrophysical Materials

An efficient approach addressing the chemical complexity of Jiawei Fangji Huangqi decoction by integrating ultra-high-performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry and intelligent data processing workflows.

A challenge in the quality control of traditional Chinese medicine is the systematic multicomponent characterization of the compound formulae. Jiawei Fangji Huangqi, a modified form of Fangji Huangqi, is a prescription comprising seven herbal medicines. To address the chemical complexity of the Jiawei Fangji Huangqi decoction, we integrated ion mobility-quadrupole time-of-flight high-definition MSE coupled to ultra-high-performance liquid chromatography and intelligent data processing workflows available in the UNIFI software package. Good chromatographic separation was achieved on CORTECS UPLC T3 column within 52min, and high-accuracy MS2 data were acquired using high-definition MSE in the negative and positive modes. A chemical library of 1250 compounds was created and incorporated into the UNIFI software to enable automatic peak annotation of the high-definition MSE data. We identified or tentatively characterize 430 compounds in the Jiawei Fangji Huangqi decoction. The potential superiority of high-definition MSE over conventional MS data acquisition approaches was revealed in its spectral quality (MS2 ), differentiation of isomers, separation of coeluting compounds, and target mass coverage. The multiple components of the Jiawei Fangji Huangqi decoction were elucidated, offering insight into its improved pharmacological action compared with that of the Fangji Huangqi formula.

Investigating Betrixaban Maleate drug degradation profiles, isolation and characterization of unknown degradation products by mass-triggered preparative HPLC, HRMS, and NMR

Betrixaban Maleate, a novel oral, once-daily factor Xa inhibitor drug substance, was subjected to stress testing under a wide range of degradation conditions, including acidic hydrolysis, alkaline hydrolysis, oxidative, thermal, and photolytic, to determine its inherent stability. The drug was biodegradable in acidic and alkaline environments, and three new degradation products were identified. Two degraded products are formed in an acidic environment, while the third is in alkaline conditions. The three degradants were identified using UPLC-ESI/MS and isolated using mass-triggered preparative HPLC, and their structures were unambiguously elucidated using HRMS and 2D NMR techniques. Based on spectral and chromatographic data, it was firmly proven that these distinct degradation products were the betrixaban chemical's hydrolysis components. The formation of the degradants has been hypothesized through several possible mechanisms.

Discovery of candidate biomarkers to discriminate between Korean and Japanese red seabream (Pagrus major) using metabolomics

Red seabream (Pagrus major) is widely consumed in East Asia. As nuclear wastewater is discharged into Japanese waterbodies, the country of origin of marine products must be accurately labeled. Here, we aimed to discover candidate metabolite biomarkers to discriminate between Korean and Japanese red seabream using LC-Orbitrap mass spectrometry. In total, 95 and 138 putative metabolites were detected via chromatographic separation of fish sampled in the warm and cold seasons, respectively. The spectrometric and chromatographic data were analyzed using principal component analysis and orthogonal partial least squares discriminant analysis. We identified 12 and 19 influential metabolites to discriminate between each origin fish in the warm and cold seasons, respectively, using variable importance in projection scores and p values. Anserine was further selected as a candidate biomarker based on receiver operating characteristic curve analysis. This study provides a basis for using anserine to determine the geographic origin of red seabream.

VasLine: Realize online detection and augmented NIR using deep learning

The chemical information acquisition capabilities of near infrared (NIR) have attracted great interests of investigators on exploring its potential as process analytical technologies (PAT) on the traditional Chinese medicine (TCM). However, due to the operation environment of TCM is complex and noisy, the accurate online composition detection and analysis is challenging and remains unsolved. Therefore, in this paper, we propose a new online TCM composition analysis platform for high quality online spectral data acquisition. We design, VasLine, a generative framework based on deep learning to estimate the multiple critical quality attributes (CQAs). To demonstrate the feasibility of the system, the platform was applied to the extraction process of Xiao’er Xiaoji Zhike Oral Liquid (XXZOL) and the framework was trained to estimate the content of the 7 CQAs. In the evaluation, we carried out 16 batches extraction experiments and collected extensive online NIR data, offline NIR data and high-performance liquid chromatography (HPLC) data for TCM composition analysis. The results show that the estimation accuracy of VasLine outperforms the state-of-the-art regression approaches significantly for all the 7 different CQAs, e.g., the R2 metrics of VasLine for the CQAs are all higher than 0.95. This study aims to propose a novel generative framework based on a deep learning model, and the framework is applied in the self-developed platform to estimate CQAs with high-quality generative data from noisy online NIR accurately. The experiments for online TCM composition analysis show that VasLine is a new solution for the quality improvement of the actual pharmaceutical industry.

Physical and chemical characteristics of Schinus terebinthifolia Raddi (Brazilian peppertree) fruits at different stages of maturation

This study evaluated the quality of Schinus terebinthifolia (Brazilian peppertree) fruits at different maturation stages to determine the best stage to harvest and sell the fruits. Fruits of the BAAr-05 genotype were analyzed at five maturation stages: green fruit; pinkish-green fruit; pinkish fruit; “mature” red fruit; and “overripe,” intense red fruit. Physical (weight, size) and chemical (chemical components of the essential oil, assessed using HS-GS-MS, and essential oil yield) characteristics of each stage were analyzed. The experimental design was completely randomized with three repetitions. Chromatography data were submitted to a multivariate analysis (chemometrics). The principal component analysis (PCA) showed distinct chemical profiles referring to each maturation stage and the following main molecules: α-pinene; β-myrcene; α-phellandrene; limonene; and δ-3-carene. For the BAAr-05 genotype, the uniform maturation stages clustered together, and the intermediary stages were further apart, demonstrating a transition characteristic of the fruits at stages pinkish-green fruit and pinkish fruit. The yield of each oil extracted from its fruiting stages was obtained by hydrodistillation in a Clevenger apparatus. The red fruits produced the highest yield of extracted essential oil (3.76%), suggesting that this is the best stage to harvest the fruits. The data from HS-GC-MS chromatography were adequate for the chemometric analyses of the principal components of the maturation stages. Thus, our findings can contribute with information to optimize the harvest time of aroeira fruits, suggesting that the fruits harvested in the maturation stage red fruit (fully mature, red fruits) are the best for essential oil yield.

Chromatographic Data in Statistical Analysis of BBB Permeability Indices.

Blood-brain barrier (BBB) permeability is an essential phenomena when considering the treatment of neurological disorders as well as in the case of central nervous system (CNS) adverse effects caused by peripherally acting drugs. The presented work contains statistical analyses and the correlation assessment of the analyzed group of active pharmaceutical ingredients (APIs) with their BBB-permeability data collected from the literature (such as computational log BB; Kp,uu,brain, and CNS+/- groups). A number of regression models were constructed in order to observe the connections between the APIs' physicochemical properties in combination with their retention data from the chromatographic experiments (TLC and HPLC) and the indices of bioavailability in the CNS. Conducted analyses confirm that descriptors significant in BBB permeability modeling are hydrogen bond acceptors and donors, physiological charge, or energy of the lowest unoccupied molecular orbital. These molecular descriptors were the basis, along with the chromatographic data from the TLC in log BB regression analyses. Normal-phase TLC data showed a significant contribution to the creation of the log BB regression model using the multiple linear regression method. The model using them showed a good predictive value at the level of R2 = 0.87. Models for Kp,uu,brain resulted in lower statistics: R2 = 0.56 for the group of 23 APIs with the participation of k IAM.

Montmorillonite an efficient oral nanocarrier for punicalagin-rich pomegranate peel extract: An in vitro study

Pomegranate (Punica granatum L.) bioactive phenolics have multiple beneficial effects on human health and play a protective role against many degenerative diseases. Pomegranate peel is rich in bioactive phenolics, mainly punicalagin and ellagic acid, which cannot be uptaken by human intestinal epithelial cells (enterocytes) efficiently. This study is aimed to improve the cellular uptake of the bioactive phenolics using Food and Drug Administration-approved mucoadhesive montmorillonite (Mt) as a nanocarrier. Pomegranate peel extract (PPE) soluble in water (W-PPE, rich in punicalagin), methanol (M-PPE, rich in ellagic acid), and 75% aqueous methanol (WM-PPE) was prepared by maceration method, and corresponding PPE/Mt composites were made by intercalation technique. The thermogravimetry, X-Ray diffraction and Fourier transform infrared spectroscopy data demonstrated that the compounds of all the extracts were selectively adsorbed on the interlayer surfaces of Mt, leading to a 1.8- to 2.7-fold increase in their thermal stability and an increase and decrease in the basal space and interlayer water of Mt, respectively. Cell assays using MCF-7 (estrogen receptor-positive breast cancer), MDA-MB-231 (estrogen receptor-negative breast cancer), HepG2 (liver cancer) and HT-29 (colon cancer) cells showed that after intercalation into Mt, the cellular uptake of punicalagin-rich W-PPE and WM/PPE, but not ellagic acid-rich M-PPE, was considerably improved especially in enterocyte-like HT-29 cells. High performance liquid chromatography data also confirmed that Mt effectively adsorbed and carried hydrophilic phenolics, mainly punicalagin, but not ellagic acid. The adsorbed phenolics were released from Mt in a controlled manner which was fitted to the Bhaskar equation and parabolic diffusion kinetic models with R2 values of 0.995, implying that the release mechanism was diffusion and the diffusion through the particle was the rate limiting step. These results suggest that Mt can be an efficient oral nanocarrier for poorly absorbed punicalagin-rich W-PPE as a multifunctional traditional medicine.

Integration of petrophysical and geochemical approaches for lower Miocene Euphrates and Jeribe Formations in selected wells in Tawke Oil Field, Northwestern Iraq, Zagros-fold belt

The Lower Miocene Euphrates and Jeribe Formations are among Iraq's potential reservoirs with significant proven reserves. Petrophysical and geochemical techniques were used to investigate these Formations in the recently discovered Tawke Oil Field. Investigation consisted of acquiring a considerable amount of data from eight wells including conventional core analysis, wireline logging data, gas chromatography data and formation water analysis. The Euphrates and Jeribe Formations are considered to have low to moderate porosity (avg. 2.7–20.5%) and low matrix permeability (avg. 0.87–15mD). Secondary porosity is more prevalent than primary depositional porosity and is a significant factor in optimal reservoir properties with an average of 3.7–5.4% Secondary Porosity Index (SPI) for Jeribe and Euphrates Formations respectively. Meanwhile, fractures increased matrix permeability by up to 33mD and 56mD in the Euphrates and Jeribe Formations respectively. Lithology and core analysis revealed that the Dhiban Formation is a non-reservoir rock with maximum 2% He-Porosity and 0.069mD Klinkenberg permeability confirming that the formation is insufficient as a hydrocarbon reservoir, and that the rock properties are primarily controlled by the depositional environment. The Jeribe Formation contains crude oil of intermediate gravity and high sulfur content. According to gas chromatograph analysis the liquid and oil extracted from the Jeribe Formation originated from a matured marine setting that was possibly algae rich (Type-II kerogen) and has been deposited in a reductive environment. It is believed that these hydrocarbons were sourced from the Middle Jurassic Sargelu and Upper Jurassic-Lower Cretaceous Chia Gara Formations. The chloride-calcium water class is determined from the produced water in the Jeribe Formation and the concentration of elements with dissolved salts confirmed that the Jeribe Formation is in contact throughout eight Tawke wells studied.

HPLC-PDA Method for Quantification of Bioactive Compounds in Crude Extract and Fractions of Aucklandia costus Falc. and Cytotoxicity Studies against Cancer Cells.

Aucklandia costus Falc. (Synonym: Saussurea costus (Falc.) Lipsch.) is a perennial herb of the family Asteraceae. The dried rhizome is an essential herb in the traditional systems of medicine in India, China and Tibet. The important pharmacological activities reported for Aucklandia costus are anticancer, hepatoprotective, antiulcer, antimicrobial, antiparasitic, antioxidant, anti-inflammatory and anti-fatigue activities. The objective of this study was the isolation and quantification of four marker compounds in the crude extract and different fractions of A. costus and the evaluation of the anticancer activity of the crude extract and its different fractions. The four marker compounds isolated from A. costus include dehydrocostus lactone, costunolide, syringin and 5-hydroxymethyl-2-furaldehyde. These four compounds were used as standard compounds for quantification. The chromatographic data showed good resolution and excellent linearity (r2 ˃ 0.993). The validation parameters, such as inter- and intraday precision (RSD < 1.96%) and analyte recovery (97.52-110.20%; RSD < 2.00%),revealed the high sensitivity and reliability of the developed HPLC method. The compounds dehydrocostus lactone and costunolide were concentrated in the hexane fraction (222.08 and 65.07 µg/mg, respectively) and chloroform fraction (99.02 and 30.21 µg/mg, respectively), while the n-butanol fraction is a rich source of syringin (37.91 µg/mg) and 5-hydroxymethyl-2-furaldehyde (7.94 µg/mg). Further, the SRB assay was performed for the evaluation of anticancer activity using lung, colon, breast and prostate cancer cell lines. The hexane and chloroform fractions show excellent IC50 values of 3.37 ± 0.14 and 7.527 ± 0.18 µg/mL, respectively, against the prostate cancer cell line (PC-3).

Synthesis of Small Libraries of Natural Products: Part II: Identification of a New Natural Product from the Essential Oil of Pleurospermum austriacum (L.) Hoffm. (Apiaceae).

Herein, comprehensive data of NMR, MS, IR, and gas chromatography (RI) obtained by GC-MS on commonly used capillary columns of different polarity (non-polar DB-5MS and polar HP-Innowax) of a series of esters of all constitutional isomers of hexanoic acid with a homologous series of ω-phenylalkan-1-ols (phenylmethanol, 2-phenylethanol, 3-phenylpropan-1-ol, 4-phenylbutan-1-ol, and 5-phenylpentan-1-ol) and phenol, in total 48 chemical entities, were collected. The created synthetic library allowed the identification of a new constituent of the P. austriacum essential oil (3-phenylpropyl 2-methylpentanoate). The accumulated spectral and chromatographical data, as well as the established correlation between RI values and structures of regioisomeric hexanoates, provide (phyto)chemists with a tool that will make future identification of related natural compounds a straightforward task.

Profiling volatile organic compounds from human plasma using GC × GC-ToFMS

Volatile organic compounds (VOCs) originating from human metabolic activities can be detected in, for example, breath, urine, feces, and blood. Thus, attention has been given to identifying VOCs from the above matrices. Studies identifying and measuring human blood VOCs are limited to those focusing on monitoring specific pollutants, or blood storage and/or decomposition. However, a comprehensive characterization of VOCs in human blood collected for routine diagnostic testing is lacking. In this pilot study, 72 blood-derived plasma samples were obtained from apparently healthy adult participants. VOCs were extracted from plasma using solid-phase microextraction and analyzed using comprehensive two-dimensional gas chromatography tandem time-of-flight mass spectrometry. Chromatographic data were aligned, and putative compound identities were assigned via spectral library comparison. All statistical analysis, including contaminant removal, data normalization, and transformation were performed using R. We identified 401 features which we called the pan volatilome of human plasma. Of the 401 features, 34 were present in all the samples with less than 15% variance (core molecules), 210 were present in ⩾10% but <100% of the samples (accessory molecules), and 157 were present in less than 10% of the samples (rare molecules). The core molecules, consisting of aliphatic, aromatic, and carbonyl compounds were validated using 25 additional samples. The validation accuracy was 99.9%. Of the 34 core molecules, 2 molecules (octan-2-one and 4-methyl heptane) have been identified from the plasma samples for the first time. Overall, our pilot study establishes the methodology of profiling VOCs in human plasma and will serve as a resource for blood-derived VOCs that can complement future biomarker studies using different matrices with more heterogeneous cohorts.

Trimethylolpropane based biolubricant synthesis from sweet almond (Prunusamygdalus dulcis) seed oil for use in automotive applications.

This paper presents a synthesis of a sweet almond oil-based trimethylolpropane biolubricant and the evaluation of its temperature-dependent viscosity properties. The oil was converted into biodiesel by the transesterification process after extraction, refining, and acid-alkaline transesterification. After that, biolubricant was produced by further transesterifying biodiesel with trimethylolpropane at 105 oC at a ratio of 3.9:1 for a 60-minute reaction time with a potassium hydroxide catalyst concentration of 1 wt. %. According to the American Standard Test Methods (ASTM), the biolubricant's pour point and index of viscosity were determined to be 267.50 and -4 oC, respectively. The measured viscosities were 42.80, 30.18, 21.39, 12.25, and 8.90 cSt. cSt at 30, 40, 60, 80, and 100 °C, demonstrating an inverse relationship between temperature and lubricant viscosity. The difference between the FTIR spectra of the biodiesel and the biolubricant—1755.74 cm-1 versus 1743.96 cm-1—verifies the ester group. Sweet almond oil has a higher iodine content than unsaturated glycerides (9.52 g of iodine per 100 g of oil sample) and includes 53.478 % more unsaturated fatty acids than saturated fatty acids, and 71.725 % unsaturated fatty acids for biolubricant according to gas chromatographic data. Linoleic acid made up the majority of the fatty acids in the oil and synthetic biolubricant, with percentages of 31.44 and 45.93 %, respectively. Sweet almond biolubricant and oil contained palmitic, linoleic, and oleic acids. The biolubricant has the potential to function as light gear oil for automobiles because its characterization results correlate favorably with the ISO VG-32 criteria