Distinct Length Research Articles

Direct air CO2 capture using coal fly ash derived SBA-15 supported polyethylenimine

Designing an amine modified silica derived from coal fly ash (CFA) towards direct air CO2 capture (DAC) provides an economic way to manage increasing atmospheric CO2 concentration utilizing solid wastes. In this work, rod-like SBA-15 (SBA-15-R) and wheat-like SBA-15 (SBA-15-W) with distinct pore lengths are synthesized from CFA by controlling the synthesis conditions and then modified by PEI via the wet impregnation method. Their CO2 adsorption behaviors under sub-ambient conditions are investigated to explore their feasibility under aggressive conditions. The adsorbents with various silica morphologies exhibit distinctive CO2 adsorption performance under ambient and sub-ambient conditions. At 35°C under dry conditions, the CO2 adsorption capacity increases with amine loading. The CO2 adsorption capacity (qe) of SBA-15-W-PEI with long channels reaches the highest qe of 1.92 mmol/g with 70 wt.% PEI loading due to a large amount of strong chemisorption sites. Under the sub-ambient conditions (-20°C, 400 ppm), SBA-15-R-PEI30 with short channels having weaker CO2 diffusion resistance exhibits promising CO2 uptake of 0.83 mmol/g. These findings indicate that the ultra-dilute CO2 adsorption at ambient temperature requires an adsorbent with large amounts of adsorption sites, whereas the adsorbents for cold temperature application should reconcile amine loading with CO2 diffusion resistance inside pores. The co-adsorption of H2O and CO2 significantly improves CO2 capacity from 0.83 mmol/g and 1.92 mmol/g to 1.81 mmol/g and 3.48 mmol/g for SBA-15-R-PEI30 (-20°C, 400 ppm) and SBA-15-W-PEI70 (35°C, 400 ppm), respectively. Furthermore, the CFA derived SBA-15-PEI shows good cyclic stability during five consecutive TSA cycles. Preparing the amine silica adsorbents from coal fly ash potentially reduces the adsorbent cost of DAC devices. Moreover, the systematic exploration of amine silica adsorbents at a wide range of temperatures guides the design of high-performance CO2 adsorbents employed under various climatic conditions.

MS2 Virus-like Particles as a Versatile Peptide Presentation Platform: Insights into the Deterministic Abilities for Accommodating Heterologous Peptide Lengths.

Virus-like particles (VLPs) are nanostructures with the potential to present heterologous peptides at high density, thereby triggering heightened immunogenicity. RNA bacteriophage MS2 VLPs are a compelling delivery platform among them. However, a notable hurdle arises from the immune response toward MS2 coat protein, swiftly eliminating subsequent vaccinations via the same vector. Although larger inserts effectively mask carrier epitopes, current research predominantly focuses on displaying short conserved peptides (<30 aa). A systematic evaluation regarding the deterministic ability of MS2 VLPs as a platform for presenting heterologous peptides remains a gap. In light of this, we employed the "single-chain dimer" paradigm to scrutinize the tolerance of MS2 VLPs for peptide/protein insertions. The results unveiled functional MS2 VLP assembly solely for inserts smaller than 91 aa. Particularly noteworthy is the largest insertion achieved on the MS2 VLPs to date: the RNA helicase A (RHA) dsRNA-binding domains (dsRBD1). Attempts to introduce additional linkers or empty coat subunits fail to augment the expression level or assembly of the MS2 VLPs displaying dsRBD1, affirming 91 aa as the upper threshold for exogenous protein presentation. By illuminating the precise confines of MS2 VLPs in accommodating distinct peptide lengths, our study informs the selection of appropriate peptide and protein dimensions. This revelation not only underscores the scope of MS2 VLPs but also establishes a pivotal reference point, facilitating the strategic manipulation of MS2 VLPs to design next-generation epitope/antibody-based therapeutics.

Detection and classification of adult epilepsy using hybrid deep learning approach

The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by clinicians to detect seizures and other neurological abnormalities of the human brain. The proper diagnosis of epilepsy is crucial due to its distinctive nature and the subsequent negative effects of epileptic seizures on patients. The classification of minimally pre-processed, raw multichannel EEG signal recordings is the foundation of this article’s unique method for identifying seizures in pre-adult patients. The new method makes use of the automatic feature learning capabilities of a three-dimensional deep convolution auto-encoder (3D-DCAE) associated with a neural network-based classifier to build an integrated framework that endures training in a supervised manner to attain the highest level of classification precision among brain state signals, both ictal and interictal. A pair of models were created and evaluated for testing and assessing our method, utilizing three distinct EEG data section lengths, and a tenfold cross-validation procedure. Based on five evaluation criteria, the labelled hybrid convolutional auto-encoder (LHCAE) model, which utilizes a classifier based on bidirectional long short-term memory (Bi-LSTM) and an EEG segment length of 4 s, had the best efficiency. This proposed model has 99.08 ± 0.54% accuracy, 99.21 ± 0.50% sensitivity, 99.11 ± 0.57% specificity, 99.09 ± 0.55% precision, and an F1-score of 99.16 ± 0.58%, according to the publicly available Children’s Hospital Boston (CHB) dataset. Based on the obtained outcomes, the proposed seizure classification model outperforms the other state-of-the-art method’s performance in the same dataset.

An effect of hydrophobicity of cosurfactant on the growth of cerium tetrafluoride hexagonal nanorods in water-in-oil microemulsion template

This study involves the effect of hydrophobicity of cosurfactants on the formation of cerium tetrafluoride nanoparticles inside the core of water-in-oil microemulsion. To produce the microemulsions, two distinct chain length cosurfactants, 1-butanol (4 carbon atoms) and 1-hexanol (6 carbon atoms) are employed. Dynamic light scattering (DLS) study reveals that, for both types of microemulsion, the synthesis of nanostructures typically occurs in three stages: nucleation phase (around first 15 min), transition phase (30–60 min) and growth phase (60–120 min). Microstructural analysis of Field Emission Scanning Electron Microscopy (FESEM) supports the evolution of hexagonal nanorods. In comparison to reverse micellar media based on 1-hexanol, 1-butanol based reverse micellar media participates in faster reaction. Longer hydrophobic chain length of 1-hexanol enhances the surface film rigidity and produces a well-defined phase boundary, which reduces intermicellar exchange and leads to the evolution of smaller hexagonal nanorods. Therefore, this study may assist the researcher to better understand how cosurfactants influence the growth of nanostructures of lanthanide series metal nanoparticles, using a microemulsion template.

A Rényi-Type Limit Theorem on Random Sums and the Accuracy of Likelihood-Based Classification of Random Sequences with Application to Genomics

We study classification of random sequences of characters selected from a given alphabet into two classes characterized by distinct character selection probabilities and length distributions. The classification is based on the sign of the log-likelihood score (LLS) consisting of a random sum and a random term depending on the length distributions for the two classes. For long sequences selected from a large alphabet, computing misclassification error rates is not feasible either theoretically or computationally. To mitigate this problem, we computed limiting distributions for two versions of the normalized LLS applicable to long sequences whose class-specific length follows a translated negative binomial distribution (TNBD). The two limiting distributions turned out to be plain or transformed Erlang distributions. This allowed us to establish the asymptotic accuracy of the likelihood-based classification of random sequences with TNBD length distributions. Our limit theorem generalizes a classic theorem on geometric random sums due to Rényi and is closely related to the published results of V. Korolev and coworkers on negative binomial random sums. As an illustration, we applied our limit theorem to the classification of DNA sequences contained in the genome of the bacterium Bacillus subtilis into two classes: protein-coding genes and standard noncoding open reading frames. We found that TNBDs provide an excellent fit to the length distributions for both classes and that the limiting distributions capture essential features of the normalized empirical LLS fairly well.

Experimental Investigation of High Frequency Flame Response on Injector Coupling in a Perfectly Premixed Multi-Jet Combustor

Abstract High frequency injector-coupled thermoacoustic instabilities are a major threat to multi-jet combustors in rocket and gas turbine engines. The complex three-dimensional acoustic coupling between the combustion chamber and injector acoustics cause local fluctuations in heat release. In turn, multiple thermoacoustic feedback mechanisms close the thermoacoustic loop and serve as a source of the thermoacoustic instability. Except for the flame deformation and flame displacement mechanism, the underlying feedback mechanisms for high frequency instabilities are to a large extent unknown. The paper at hand gives new insights into the injector-coupled convective driving mechanisms that are present in multi-jet combustors at perfectly premixed conditions. The forced flame response to the first transverse combustor mode is investigated for two distinct injector tube lengths: one with an axial acoustic velocity node and one with a velocity antinode coupling at the injector–combustor interface. Phase locked OH* images reveal convectively transported coherent vortex structures as the main source of the flame response. The origin of the flame response can be linked to the axial acoustic velocity at the injector–combustor interface using numerical simulations. Both configurations show a clear oscillation of the heat release fluctuations in-phase with the acoustic pressure fluctuations. In similarity to time delay models in low frequency thermoacoustics, a wave number model is proposed to estimate the local flame response due to feed flow modulations and validated with the experimental results.

Testing the planar straight-line realizability of 2-trees with prescribed edge lengths

We study a classic problem introduced thirty years ago by Eades and Wormald. Let G=(V,E,λ) be a weighted planar graph, where λ:E→R+ is a length function. The Fixed Edge-Length Planar Realization problem (FEPR for short) asks whether there exists a planar straight-line realization of G, i.e., a planar straight-line drawing of G where the Euclidean length of each edge e∈E is λ(e).Cabello, Demaine, and Rote showed that the FEPR problem is NP-hard, even when λ assigns the same value to all the edges and the graph is triconnected. Since the existence of large triconnected minors is crucial to the known NP-hardness proofs, in this paper we investigate the computational complexity of the FEPR problem for weighted 2-trees, which are K4-minor free. We show the NP-hardness of the problem, even when λ assigns to the edges only up to four distinct lengths. Conversely, we show that the FEPR problem is linear-time solvable when λ assigns to the edges up to two distinct lengths, or when the input has a prescribed embedding. Furthermore, we consider the FEPR problem for weighted maximal outerplanar graphs and prove it to be linear-time solvable if their dual tree is a path, and cubic-time solvable if their dual tree is a caterpillar. Finally, we prove that the FEPR problem for weighted 2-trees is slice-wise polynomial in the length of the large path.

Length reduction kinetics of multiwalled carbon nanotubes correlated to planetary ball mill impact energy

Four commercial multiwalled carbon nanotubes with distinct lengths and diameters were subject to planetary ball milling to induce length reduction. The Burgio-Rojac energy model was employed to calculate the single impact energy and cumulative energy dissipated to the carbon nanotubes during milling. The ratio of sample mass to bead mass and the nanotube bulk density did not affect length reduction during grinding. The minimum impact energy barrier for carbon nanotube length reduction appeared directly proportional to nanotube diameter for parallel wall morphologies, although a nanotube sample with a cup-stacked wall morphology showed a much lower energy barrier. A normalized exponential equation relating carbon nanotube length and cumulative impact energy collapsed all data to a single exponential master curve described by the same scaling parameters, namely a pre-exponential term that includes the initial nanotube length and a scaling energy in the exponent.

Genomic Basis of Adaptive Divergence in Leg Length between Ground- and Tree-Dwelling Species within a Bird Family.

Hind limbs of tetrapods vary greatly in length and the variability can be associated with locomotor adaptation. Although the phenotypic evolution has been well documented, the underlying genetic basis remains poorly understood. We address this issue by integrating comparative genomics and functional prediction with a study system consisting of ground-dwelling, long-legged and tree-dwelling, short-legged species within the avian family Paridae. Genome-wide divergence and phenotypic correlation analyses jointly identified five highly divergent genomic regions that are significantly related with the difference in leg length between these two groups. Gene annotation for these regions detected three genes involved in skeletal development, that is, PTPA, BRINP1, and MIGA2, with the first one being under the strongest selection. Furthermore, four single nucleotide polymorphisms (SNPs) in the coding region of PTPA can well distinguish the two groups with distinct leg length. Among the four SNPs, one is non-synonymous mutation, and according to the prediction for protein structure and function, it can affect the 3D structure of the encoded protein by altering the corresponding amino acid's position. The alleles of PTPA were found in all sequenced species of the orders Palaeognathae and Psittaciformes, which typically take a ground locomotion style. A whole-genome scanning across bird species uncovered that the four SNPs are more likely to be present in resident passerines with increased leg length/wing length ratios (a proxy of leg-dependent locomotion efficiency). Our findings provide insight into the molecular evolution of locomotion performance based on leg morphology in birds.

A Fuzzy Logic Approach and Path Algorithm for Time and Energy Management of Smart Cleaning Robots

Smart home technologies (SHM) or devices provide some degree of digitally connected, automated, or enhanced services to building occupants in residential areas and have been becoming increasingly popular in recent years. SHM have the potential to improve home comfort, convenience, security, and energy management. Different technologies are used to equip household parts for smarter monitoring, movement, and remote control and to allow effective harmonic interaction between them. Especially, energy management and path-planning algorithms are some of the important problems for such technologies to get optimum efficiency and benefit. Smart vacuum cleaning robot is one of the applications of such devices with various functions. These cleaning robots have limited battery power and battery sizes, thus effective cleaning is critical. Additionally, the shortest / optimal path planning is essential for the efficient operation of effective cleaning based on the battery time. In this article, two distinct algorithms, which are Search algorithm and CSP algorithm are utilized to obtain distinct optimal minimum path lengths for keeping the home's total dirt level as low as possible. Depending on various types of linguistic, abstract, or perceptual variables, these algorithms are not enough for the energy management of the battery. Therefore, the fuzzy logic-based inference system is proposed for obtaining the charge durability of battery of the cleaning robot, in addition to these algorithms. The inputs affecting the charge durability are considered as floor type, dirt level and the width of area for the fuzzy approach.

Autotetraploid Origin of Chinese Cherry Revealed by Chromosomal Karyotype and In Situ Hybridization of Seedling Progenies.

Polyploidy is considered a driving force in plant evolution and diversification. Chinese cherry [Cerasus pseudocerasus (Lindl.) G.Don], an economically important fruit crop native to China, has evolved at the tetraploid level, with a few pentaploid and hexaploid populations. However, its auto- or allo-polyploid origin remains unclear. To address this issue, we analyzed the ploidy levels and rDNA chromosomal distribution in self- and open-pollinated seedling progenies of tetraploid and hexaploid Chinese cherry. Genomic in situ hybridization (GISH) analysis was conducted to reveal the genomic relationships between Chinese cherry and diploid relatives from the genus Cerasus. Both self- and open-pollinated progenies of tetraploid Chinese cherry exhibited tetraploids, pentaploids, and hexaploids, with tetraploids being the most predominant. In the seedling progenies of hexaploid Chinese cherry, the majority of hexaploids and a few pentaploids were observed. A small number of aneuploids were also observed in the seedling progenies. Chromosome 1, characterized by distinct length characteristics, could be considered the representative chromosome of Chinese cherry. The basic Chinese cherry genome carried two 5S rDNA signals with similar intensity, and polyploids had the expected multiples of this copy number. The 5S rDNA sites were located at the per-centromeric regions of the short arm on chromosomes 4 and 5. Three 45S rDNA sites were detected on chr. 3, 4 and 7 in the haploid complement of Chinese cherry. Tetraploids exhibited 12 signals, while pentaploids and hexaploids showed fewer numbers than expected multiples. Based on the GISH signals, Chinese cherry demonstrated relatively close relationships with C. campanulata and C. conradinae, while being distantly related to another fruiting cherry, C. avium. In combination with the above results, our findings suggested that Chinese cherry likely originated from autotetraploidy.

Biodegradable Zn−1wt.%Mg(−0.5wt.%Mn) Alloys: Influence of Solidification Microstructure on Their Corrosion Behavior

The development of biodegradable Zn-based alloys for implants that effectively mimic the functionality of native bone throughout the healing process is a multifaceted challenge; this is particularly evident in the task of achieving appropriate corrosion rates. This work explores the incorporation of 0.5wt.%Mn into a Zn−1wt.%Mg alloy, with focus on the relationship between corrosion behavior and microstructure. Electrochemical corrosion tests were carried out in a 0.06 M NaCl solution using as-solidified samples with two distinct microstructural length scales. Mn addition was found to induce significant electrochemical active behavior. Localized corrosion was predominant in interdendritic regions, with the ternary alloy exhibiting a higher susceptibility. For both alloys, the coarsening of the microstructure promoted a slight inclination to accelerate the corrosion rates in both biodegradable Zn alloys. The corrosion rate showed an increase of about nine-times with Mn addition for coarser eutectic spacings, while for finer ones, the increase was by about 22 times.

The number of distinct cycle lengths in the cycle structure of an automorphism on an abelian group

Let G be a finitely generated free abelian group of rank n, and σ an automorphism of G. The set of distinct lengths of non-zero cycles in the cycle structure of σ is written as S(σ,G). It was proved by Klerk et al. that the structure of an arbitrary automorphism σ of G possesses at most finitely many distinct cycle lengths ([4], Proposition 3.2). A problem arises naturally: How many distinct cycle lengths possibly occur in the cycle structure of an automorphism σ of G. In this article, we prove that |S(σ,G)|≤2m if n=2m is even, or |S(σ,G)|≤2m−1 if n=2m−1 is odd, the automorphism σ for which |S(σ,G)| attains the upper bound is characterized definitely.

A novel single alpha-helix DNA-binding domain in CAF-1 promotes gene silencing and DNA damage survival through tetrasome-length DNA selectivity and spacer function.

The histone chaperone chromatin assembly factor 1 (CAF-1) deposits two nascent histone H3/H4 dimers onto newly replicated DNA forming the central core of the nucleosome known as the tetrasome. How CAF-1 ensures there is sufficient space for the assembly of tetrasomes remains unknown. Structural and biophysical characterization of the lysine/glutamic acid/arginine-rich (KER) region of CAF-1 revealed a 128-Å single alpha-helix (SAH) motif with unprecedented DNA-binding properties. Distinct KER sequence features and length of the SAH drive the selectivity of CAF-1 for tetrasome-length DNA and facilitate function in budding yeast. In vivo, the KER cooperates with the DNA-binding winged helix domain in CAF-1 to overcome DNA damage sensitivity and maintain silencing of gene expression. We propose that the KER SAH links functional domains within CAF-1 with structural precision, acting as a DNA-binding spacer element during chromatin assembly.

Biogenesis, function, and landscape of tsRNAs in central nervous system diseases

AbstractTransfer RNA‐derived small RNAs (tsRNAs) are fragments that originate from mature or precursor tRNAs and are a subclass of sRNAs. With the development of high‐throughput sequencing techniques, the real feature of tsRNAs has gradually been revealed. tsRNAs are functional fragments of distinct lengths produced by the cleavage of mature or precursor tRNAs by different ribonuclease enzymes. tsRNAs exert extensive functions, including gene silencing, translational regulation, and reverse transcriptional regulation, affecting cell viability and differentiation and participating in pathological processes of various diseases, including central nervous system (CNS) diseases. Emerging sequencing evidence indicates that tsRNAs are expressed differently in various CNS diseases, preliminary suggesting that tsRNAs are involved in the occurrence and progression of neurodegenerative diseases, stroke, glioma, epilepsy, and other CNS diseases. In addition, significant differences expression of extracellular tsRNAs in circulating or cerebrospinal fluid between patients and normal individuals have demonstrated the diagnostic and prognostic value of tsRNAs as biomarkers for liquid biopsy. In this review, we provide a detailed summary of the biogenesis, function, and chemical modification of tsRNAs, focusing on the current status and prospects of research on tsRNAs in neurodegenerative diseases, stroke, glioma, epilepsy, and others.

A neutron radiography study on the drying of cement mortars: Effect of mixture composition and crack length

The drying process has a prominent impact on the volume changes, crack propagation and durability of concrete structures. This study is to quantify the moisture distribution in real-time drying cement mortars. Mortar prisms with different water-to-cement ratios (w/c) and superabsorbent polymers (SAP) amounts were cut into slices and prepared with distinct lengths of cut notches. They were subjected to accelerated drying during neutron radiography measurements. In mortars with higher w/c, the coarser pores accelerate water transport and lead to more rapid drying. The large voids and the SAP in the bulk of the specimens are emptied well before the exposed surface starts to dry out. The presence of notches enhances drying. However, the moisture loss through the notches is less efficient than through the external surfaces. The competition between evaporation from the surfaces and moisture transport within the material, in both liquid and gas forms, governs the moisture distribution evolution.

An investigation on stiffened cold-formed steel unequal angle box section columns

Built-up box sections are gaining popularity as column members in cold-formed steel (CFS) construction. Applications include CFS trusses, space frames, and portal frames. Two identical CFS unequal angles are used in this article to form built-up rectangular angle box columns (BUABC). These BUABC, which can be plain or with stiffeners (longer and shorter legs), are grooved on the faces of the columns in the major and minor axis directions and connected with self-drilling screws (fasteners) through their lips. There are no reports in the literature on the advantages of stiffeners (longer and shorter legs) provided in BUABC. This paper presents 78 new results for the BUABC as plain and with stiffeners (longer and shorter legs), including 14 test results and 64 finite element (FE) results. The axial strengths of BUABC with two stiffeners in the longer leg and one stiffener in the shorter leg showed an increase of about 28% on average when compared to the axial strength of plain BUABC, according to the experimental results. The FEA-derived ultimate loads and failure modes are in good agreement with the experimental results. The verified FE model was then used in the parametric study to investigate the effect of stiffeners (longer and shorter legs) on the axial strength of BUABC. The parametric study considered two distinct geometries with two distinct lengths (300 mm and 600 mm). The axial strengths of the stub BUABC tested against the Direct Strength Method (DSM) prediction were conservative, up to 3% on average, while they were 13% conservative for the short BUABC. This shows that the DSM prediction was more conservative, with an increase in slenderness that was governed by the modified slenderness ratio. The DSM strength predictions were less conservative for the stub BUABC that failed due to local buckling, whereas the DSM strength predictions were more conservative for the short BUABC that failed due to a combination of local and flexural buckling.

An evolution of hyperbolic magneto-hydrodynamic (HMHD) wave propagating through radiative quantum plasma including cosmic ray pressure

The gravitational (Jeans) instability of radiative quantum plasma including cosmic ray (CR) pressure and diffusion is theoretically investigated using a generalized hyperbolic magneto-hydrodynamic model. It concurrently includes the impacts of the finite electrical resistivity, the Hall parameter, and the Coriolis force. The application of normal mode technique yields a unique form of a generalized dispersion relation. This dispersion relation is further discussed in the different modes of propagation with the different axis of rotation along the direction of the magnetic field. It has been noted that all the considered parameters affect the system's growth rate in both directions, but the Hall parameter does not affect it in the transverse direction. We also explored that together with the CRs, the Hall parameter, resistivity, rotation, and quantum parameter suppressed the Jeans instability's growth rate. Thus, these parameters act as stabilizing agents to the instability. The study identified radiative instability and analyzed the impact of an arbitrary heat-loss function on the system. The current findings provide new theoretical support to the existing various astronomic observations on the cosmic plasma and in the development of unique galactic formations of distinct scale lengths.

Hierarchical Engineering of Sorption-Based Atmospheric Water Harvesters.

Harvesting water from air in sorption-based devices is a promising solution to decentralized water production, aiming for providing potable water anywhere, anytime. This technology involves a series of coupled processes occurring at distinct length scales, ranging from nanometer to meter and even larger, including water sorption/desorption at the nanoscale, condensation at the mesoscale, device development at the macroscale and water scarcity assessment at the global scale. Comprehensive understanding and bespoke designs at every scale are thus needed to improve the water-harvesting performance. For this purpose, a brief introduction of the global water crisis and its key characteristics is provided to clarify the impact potential and design criteria of water harvesters. Next the latest molecular-level optimizations of sorbents for efficient moisture capture and release are discussed. Then, novel microstructuring of surfaces to enhance dropwise condensation, which is favorable for atmospheric water generation, is shown. After that, system-level optimizations of sorbent-assisted water harvesters to achieve high-yield, energy-efficient, and low-cost water harvesting are highlighted. Finally, future directions toward practical sorption-based atmospheric water harvesting are outlined.

Profiling of branched chain and straight chain saturated fatty acids by ultra-high performance liquid chromatography-mass spectrometry

Branched chain fatty acids (BCFAs) are one of the important sub categories of fatty acids (FAs) which have unique functions in nature. They are commonly analyzed by GC–MS after derivatization to methyl esters (FAMEs). On the other hand, there is a lack of isomer-selective LC-MS methods which allow the distinction of different isomers with wide coverage of carbon chain length. In this work, a systematic retention and isomer selectivity study on seven commercially available UHPLC columns (six polysaccharide columns Chiralpak IA-U, IB-U, IC-U, ID-U, IG-U and IH-U; one Acquity UPLC CSH C18 column) was performed. Various experimental factors were evaluated including column temperatures, gradient profiles and flow rates to elucidate their effects on the separation ability of homologous series of BCFAs with distinct chain lengths, different branching types and branching positions. In general, IG-U outperformed the other columns in terms of isomer selectivity especially for the short and medium-chain BCFA isomers while RP C18 showed good potential in terms of selectivity for long-chain BCFA isomers. Furthermore, after the evaluation of the chromatographic retention pattern on the various columns and method optimization, we report a methodology for untargeted isomer-selective BCFA profiling without precolumn derivatization with UHPLC-ESI-MS/MS by quadrupole-time-of-flight instrument with SWATH acquisition. The best method provides selectivity for constitutional isomers of BCFAs covering distinct chain length (C5-C20) with different branching types (methyl or ethyl) and branching positions (2Me, 3Me, 4Me, 6Me, anteiso and iso-BCFAs) with an optimized LC condition on Acquity UPLC CSH C18 column. Finally, the optimized method was applied for the BCFAs profiling in lipid extracts of Staphylococcus aureus samples. Besides, pooled human platelets and pooled human plasma were evaluated as mammalian samples for presence of BCFAs as well. The new method showed strong potential for BCFA profiling in bacterial samples including different isomers anteiso and iso-BCFAs, which could be a useful tool for related subdisciplines in metabolomics and lipidomics in particular in combination with electron-activated dissociation MS. Compared to GC, the presented isomer selective LC methods can be also of great utility for preparative purposes. Equivalent (carbon) chain length numbers were calculated for RP18 and Chiralpak IG-U and compared to those of FAMEs obtained by GC.