Determination Of Content Research Articles

Quality Markers of Fufang Shenqi Oral Liquid Based on Integrated Fingerprint Analysis, Chemical Pattern Recognition, and Quantification.

Fufang Shenqi Oral Liquid (FFSQOL) is an important Chinese medicine compound preparation with a wide range of clinical applications, which is mainly used to regulate immune function, improve cardiovascular function, and have anti-inflammatory and antibacterial effects. At present, it is of great importance to establish the quality evaluation method of FFSQOL and to investigate its quality markers (Q-markers). The aim of this study is to establish a quality evaluation method for FFSQOL and screen its Q-markers to provide a scientific basis for its quality control. Fourteen batches of FFSQOL were subjected to high-performance liquid chromatography (HPLC) fingerprint and similarity analysis. The components of FFSQOL were identified, and their content was determined. This was combined with cluster analysis (CA) and principal component analysis (PCA) to determine the Q-markers of FFSQOL. In this study, an HPLC fingerprint was established for 14 batches of FFSQOL, identifying 12 common peaks and six major components. Four components were identified as stable and reproducible: gallic acid (504.94 ~ 1219.04 μg/mL), caffeic acid (452.15 ~ 783.01 μg/mL), 7-O-glucoside (1097.72 ~ 2440.41 μg/mL), and formononetin (176.2 ~ 177.51 μg/mL). Quality evaluation of the 14 batches was conducted using chemical pattern recognition analysis. CA results indicated two distinct groups, and PCA revealed that principal components 1 and 2 were the main factors influencing batch differences. A combination of HPLC fingerprint, content determination results, and chemical pattern recognition analysis was employed to identify Q-markers for FFSQOL. The markers identified were gallic acid, caffeic acid, calycosin 7-O-glucoside, and formononetin. In this study, a quality evaluation method for FFSQOL was established through the implementation of fingerprint, content determination, and chemical pattern recognition analysis, resulting in the identification of four Q-Markers of FFSQOL, which laid the foundation for the formulation of FFSQOL quality standards.

Nutrient Distribution in the Soil Profile Under Different Tillage Practices During a Long-Term Field Trial

Conservation tillage practices are increasingly used in agricultural systems. However, these practices require a complex approach regarding soil nutrition. Adequate nutrient content in soils is important for crop production, as reduced and no-tillage practices change the distribution of nutrient contents (P, K, Mg, and Ca) in the soil profile, necessitating new approaches for agronomists in crop nutrition. Little is known about the time changes in nutrient distribution in the soil profile under conservation tillage practices. Long-term field experiments with conventional (CT—plowing to 20–22 cm), reduced (RT—chiseling to 8–10 cm), and no-tillage (NT) practices were established in Prague–Ruzyně (Czech Republic) in 1995. This four-year crop rotation consisted of winter wheat changing with oilseed rape or pea. The soil nutrient contents have been determined since 2009 using the Mehlich 3 method and through extraction in 0.5 M ammonium acetate. The obtained results showed that P, K, and, to a lesser extent, Mg contents increased in the soil surface layer (0–10 cm) under the reduced and no-tillage practices, whereas Ca and pH values showed an opposite trend. We found an unbalanced ratio of nutrients in the upper soil layer in RT and NT caused by a high concentration of the monovalent cation K+ and the leaching of the divalent cations Ca2+ and Mg2+ into the deeper soil layers. In conventional practices, the ion contents are equalized throughout the topsoil due to the soil inverting during plowing. The determination of nutrient contents in deeper soil layers revealed that, over time, calcium, magnesium, and potassium were transported to deeper parts of the soil profile under RT and especially NT. Low nutrient ratios were found in the surface layer under RT and NT, negatively affecting the quality of the soil surface layer, including its structure. Fertilizer management and nutrient ratios in soils under RT and NT should be considered to maintain and possibly improve sustainable agricultural practices in fields with reduced or no-tillage practices. Furthermore, nutrient contents and their mutual ratios should be evaluated in more soil layers under these systems, enabling the detection of eventual problems in the upper layer that must be addressed by changing fertilization.

Genetically Encoded Biosensor HyPer as a Tool for Quantification of Intracellular Hydrogen Peroxide Concentrations

This mini-reviewsystematizes information on methods for quantitative assessment of intracellular hydrogenperoxide concentration based on the use of a genetically encodedperoxide sensor HyPer. Two approaches are being considered: 1) calibrationof the biosensor using exogenous hydrogen peroxide, based on assessingthe rate of peroxide penetration into cells and intracellular peroxidaseactivity; 2) direct determination of the intracellular peroxide content, basedon measuring the level of oxidation of the biosensor, theoxidation reaction constant and the reduction reaction constant of HyPerin the cells. The use of these methods makes itpossible to solve a wide range of tasks in cellularredox biology—to determine the range of physiological anddamaging concentrations of hydrogen peroxide in cells, to evaluate theeffectiveness of the antioxidant defense system in various cellular compartmentsunder conditions of oxidative stress, to determine the contribution ofvarious enzymatic systems to the peroxidase activity of cells, andto characterize antioxidant defense systems in various biological contexts (inthe process of cellular senescence, differentiation, reprogramming, during the developmentof pathologies). The described methods can be adapted for othergenetically encoded hydrogen peroxide biosensors.

Quality Assessment of Gegen Zhitong Mixture Based on Chemical Fingerprints Combined with Quantitative Analysis of Multi‐Components with a Single‐Marker

ABSTRACTTraditional Chinese medicine (TCM) formulas were one of the most important treasures in TCMs. Gegen Zhitong mixture (GGZTM) was a Chinese medicine preparation (CMP) developed by Wuhan No.1 Hospital according to a TCM formula. The comprehensive quality assessment of CMPs is necessary to ensure their safe and effective use for medical purposes. However, the existing quality evaluation of GGZTM was limited to the content determination of a single marker compound, making it difficult to fully monitor its overall quality. Therefore, an approach that profiled a comprehensive chemical description of GGZTM based on high‐performance liquid chromatography was developed for the first time, and the characteristic common peaks of GGZTM were identified in the present study. Secondly, a quantitative analysis of multi‐components with a single‐marker (QASM) was developed, which could be employed to simultaneously determine the content of three components in GGZTM. Finally, the laboratory prepared a self‐made GGZTM according to the prescription composition and systematically compared it with the GGZTM through similarity analysis and hierarchical cluster analysis based on chemical fingerprints and the content of intrinsic marker components. In conclusion, the developed method is accurate and stable and can be applied to quality control in the production process of GGZTM.

Evaluation of the extraction methods prior to ICP-MS determination of metal levels in kinetic (magic) sand samples used for children’s play

ABSTRACT Kinetic (magic) sand is widely used in preschool activities in order to improve the children’s creative abilities. Despite its popularity, this study will be the first in literature to assess the heavy metal content of kinetic sand samples. Focusing on the determination of metal content (Hg, Cd, Sb, Sn, Al, Ni, Co, Cu, Pb) of 10 different brands of kinetic sand samples sold in Turkish markets, the significance of sample preparation step was further discussed with the application of wet digestion and microwave digestion methods, prior to analysis by ICP-MS. Based on the acute toxicity classes defined by European Union (EU) As, Cd, Hg belongs to Class 1; Ni, CrVI, Pb belongs to Class 2, whereas Zn and Cu belongs to Class 3. Among the potential toxic elements studied, the Al content of samples attracts attention with its high level exceeding the limits of directives.

Determination of Porosity and Moisture Content of Granular Activated Carbon Using Sub-Thz Ellipsometry

Determination of Porosity and Moisture Content of Granular Activated Carbon Using Sub-Thz Ellipsometry

Ultrasonic assisted preparation of covalent bonding pea protein and polyphenol conjugate in emulsion delivery system

Protein modification can improve the bioavailability of polyphenols, while polyphenols can also improve the functional properties of pea protein. Four representative polyphenols (gallic acid, ferulic acid, catechin and kaempferol) were covalently combined with pea protein by ultrasonic assisted grafting (free radical grafting, laccase method and alkali treatment), and the structure and functional properties of the conjugated compounds were characterized. The interaction was evaluated by surface hydrophobicity, free sulfhydryl content determination and SDS-PAGE. Fluorescence spectra and Fourier transform infrared spectra revealed that polyphenol binding reduced the α-helix content of pea protein and changed its structure. In addition, the antioxidant activity of the conjugate was significantly improved compared to natural pea protein (DPPH by 7.5 to 20.2 times, ABTS+ by 2.8 to 4.3 times, FRAP by 1.4 to 4.1 times). At the same time, the introduction of polyphenols also optimized the thermal stability of pea protein, and increased the denaturation temperature of pea protein (113.1 °C) by 0.19–6.63 °C. The emulsifying properties were also enhanced by covalent modification, and the emulsifying properties of the ultrasound-assisted conjugates were better. In summary, the pea protein-polyphenol conjugate provides a new solution for improving the bioavailability of polyphenols and preparing polyphenol delivery systems for complex emulsions.

Interesterification of fat blends containing high oleic oils: Physical properties and dialkyl‐ketones formation assessment

AbstractIn view of the nutritional disadvantages of partial hydrogenation (production of unhealthy trans fats) interesterification (IE) has emerged to produce suitable fats for trans‐free formulations that have improved physicochemical properties. In this context, both chemical (CIE) and enzymatic (EIE) interesterification techniques can be used. However, it has been found that CIE technology may produce process‐related by‐products known as dialkyl‐ketones (DAK). The current study aims at investigating the formation of DAK during IE. Therefore, five edible oils and fats were selected based on their potential use in IE: Elaeis Guineensis palm stearin (POSt), high oleic palm stearin (HOPSt), palm kernel stearin (PKSt), high oleic sunflower oil (HOSO) and high oleic palm oil (HOPO). The investigated blends were divided into HOPO‐based blends (POSt:HOPO 50:50, PKSt:HOPO 50:50, HOPSt:HOPO 50:50 and 30:70 wt:wt%) and HOSO‐based blends (POSt:HOSO 30:70, 50:50 and 70:30 wt:wt%). They were all subjected to both CIE (using sodium methoxide) and EIE (using TLIM lipase as catalyst); analyses of physical properties and determination of DAK content were performed before and after IE. This study demonstrates that DAK were not formed during the EIE process regardless of the investigated matrix, whereas they were produced during CIE, and that they require sufficient rearrangement of triglycerides (TAG) to be formed. It has also been shown that unsaturated fatty acids are more prone to form DAK regardless of the fat matrix. However, there is no linear relationship between the amount of DAK and the amount of unsaturated fat in the matrix.

Gene ontology defines pre-post- hatch energy dynamics in the complexus muscle of broiler chickens

BackgroundChicken embryos emerge from their shell by the piercing movement of the hatching muscle. Although considered a key player during hatching, with activity that imposes a substantial metabolic demand, data are still limited. The study provides a bioenergetic and transcriptomic analyses during the pre-post-hatching period.MethodsWeight and morphology alongside content determination of creatine and glycogen were analysed. Transcriptome identified differentially expressed genes and enriched biological processes associated with hatching muscle development, catabolism, and energy provision. Using gene set enrichment, we followed the dynamics of gene-sets involved in energy pathways of oxidative phosphorylation, protein catabolism, glycolysis/gluconeogenesis, and glycogen metabolism.ResultsResults show several significant findings: (A) Creatine plays a crucial role in the energy metabolism of the hatching muscle, with its concentration remaining stable while glycogen concentration is depleted at hatch and placement. (B) The hatching muscle has the capacity for de-novo creatine synthesis, as indicated by the expression of related genes (AGAT, GAMT). (C) Transcriptome provided insights into genes related to energy pathways under conditions of pre-hatch oxygen and post-hatch glucose limitations (oxidative phosphorylation: NDUF, MT-ND, SDH, UQCR, COX, MT-CO, ATP5, MT-ATP; glycolysis/gluconeogenesis: FBP,G6PC, PFKM; glycogen metabolism: PPP1, PYGL, GYG1). (D) The post-hatch upregulation of protein catabolic processes genes (PSMA, RNF, UBE, FBX), which align with the muscle's weight dynamics, indicates a functional shift from movement during hatching to lifting the head during feeding.ConclusionsThere is a dynamic metabolic switch in the hatching muscle during embryo-to-hatchling transition. When glycogen concentration depletes, energy supply is maintained by creatine and its de-novo synthesis. Understanding the hatching muscle's energy dynamics is crucial, for reducing hatching failures in endangered avian species, and in domesticated chickens.

Enhancing pectin's antioxidant properties through ferulic acid grafting: Application in olive oil‐in‐water emulsion

AbstractIn order to improve pectin antioxidant properties and enlarge the field of its potential applications, ferulic acid grafted pectin conjugates (PE‐g‐FA) were prepared using laccase as the catalyst at 30°C in an aqueous medium. The structures of PE‐g‐FA were characterized using UV–vis, FTIR, and NMR (1H and 13C). In addition, the antioxidant activity of PE‐g‐FA was evaluated according to the DPPH and ABTS free radical scavenging ability. Olive oil in water emulsions, containing emulsifiers WPI and PE‐g‐FA, were assessed for their physical and oxidative stability through particle size, zeta‐potential, peroxide value (POV), and 2‐thiobarbituric acid reactive substance (TBARS) formation. The results indicated that the formation of covalent bonds between the pectin carboxymethyl groups and FA hydroxyl group. The determination of the total phenolic content showed that PE‐g‐FA contained seven times more polyphenols than native PE. DPPH and ABTS free radical scavenging rate of 0.5HMP‐g‐FA were increased by 56.83% and 18.90% compared with HMP, respectively. In addition, the emulsion stabilized by WPI and 0.5HMP‐g‐FA showed smallest and uniform average particle size (855.9 ± 51.13 nm) on the 1st day. Although its POV value was slightly higher than that of emulsion stabilized by WPI and HMP, it was much lower than that of control groups. Overall, these results have important implications for enzymatic modification of pectin to obtain high antioxidant products and their application in pectin‐based emulsions.

Comprehensive propagation of errors for the prediction of woody biomass

Abstract Managing vegetation to sequester carbon in biomass requires estimates to meet standards for accuracy, with methods that are transparent, verifiable and cost‐effective. Allometric models are commonly used to predict biomass from non‐destructive field inventory data. Although a number of studies have addressed biomass error propagation, none have provided a general set of methods for linking errors all the way from initial allometric model development through to the final site‐based biomass prediction, for both above‐ and below‐ground biomass. Error sources in total biomass (above‐ + below‐ground) were quantified using a combination of analytical and Monte Carlo methods, illustrated with four contrasting case studies using either site‐ and‐species‐specific, species‐specific or generalised allometric models. Sampling error was found to be the most important contributor to site‐level biomass uncertainty, arising from the interaction between spatial variability and the field sampling design. The contribution of allometric model covariance to total error was also quantified, with errors in the determination of moisture content during allometric model development identified as a potentially important yet often overlooked error source. Application of different allometric models to the same inventory data suggested the error from generalised models was no greater than that from site‐ or species‐specific models, with increases in the generalised model prediction error balanced by decreases in other error sources associated with the increased sample size on which generalised models are based. Recommendations for reducing errors in predicted biomass include increasing field survey sample size, adopting field survey designs that ensure spatial representativeness and improving moisture content measurement protocols and increasing the moisture content sample size during allometric model development. To reduce costs while maintaining acceptable accuracy, the use of generalised allometric models is recommended, with the caveat that additional biomass sampling for model validation may be required to limit the potential for biased predictions.

Synthesis and application of Schiff base as a dual-mode chemosensor for optical determination of aluminium ion content in water samples

Aluminium is highly abundant in the earth's crust and has played a pivotal role in various industries for centuries. Its versatility and abundance have led to its widespread use in everything from food packaging to construction materials. However, this extensive use has also raised concerns about its potential impact on human health and the environment. This study aimed to synthesize and apply a Schiff base molecule, N-(2-hydroxy-1-naphthylmethylidene)-o-aminoacetophenone (N-HyNA), as an optical sensor for aluminium ion (Al3+) determination. The synthesis of N-HyNA was achieved with a high yield of 85% through the reaction of 2-Hydroxy-1-naphthaldehyde and 2-aminoacetonephenone. N-HyNA showed a maximum absorption wavelength at 465.0 nm, and fluorescence emission at 357.0 nm with the excitation wavelength of 278.0 nm. Both absorption and fluorescence signals of N-HyNA were selectively quenched in the presence of aluminium ion. Under optimal conditions for Al3+ detection, the absorption mode of N-HyNA with DMSO as a solvent had the limit of detection (LOD) of 0.005 ppm and detection range of 0.01 – 2.0 ppm, while the fluorescence mode with EtOH as a solvent had the LOD of 0.013 ppm and detection range of 0.05 – 0.40 ppm. The developed approach demonstrated good agreement in Al3+ determination with the conventional atomic absorption spectroscopic technique when using natural water samples and their standard-spiked samples with recovery ranging from 84.0 – 114.0 %. Additionally, analytical characterization was conducted to investigate the quenching mechanism between Al3+ and N-HyNA, and a computational study was performed to elucidate the binding position of Al3+ in the N-HyNA complex. This developed chemosensor offered a simple and fast, yet accurate and selective detection of Al3+ in water samples.

Enhanced S2− Detection Selectivity with CuO-Modified Eggshell Membrane Biochar for the Efficient Determination of Inorganic Sulfide Content in Adaptogenic Herbs

Enhanced S2− Detection Selectivity with CuO-Modified Eggshell Membrane Biochar for the Efficient Determination of Inorganic Sulfide Content in Adaptogenic Herbs

Metal organic framework modified with carbon nanotube as an electrochemical sensor: Fabrication, excellent stability and sensitive detection of dopamine

Dopamine (DA) is a very important drug, however, excessive use can lead to DA becoming a micropollutant in water environments, which is an unfortunate consequence. The accurate determination of dopamine content is of great significance and has also attracted high attention from people. In this work, an electrochemical sensor (MOFCN) based on carbon nanotubes (CNTs) modified copper-based metal–organic framework (Cu-MOF) was developed using the hydrothermal method for sensitive detection of dopamine. The Cu-MOF, which are surrounded by CNTs, provide a favorable surface for the full utilization of the excellent conductivity property of carbon nanotube. The surface area of MOFCN is bigger than that of original Cu-MOF. The electrochemical sensing functions of the prepared MOFCN were evaluated by cyclic voltammogram (CV), electrochemical impedance spectroscopy (EIS) and differential pulse voltammetry (DPV) techniques. Under optimal conditions, there was a good linear relationship between peak current and DA concentration in the range of 0.5 to 100 µM with a detection limit (LOD) as low as 0.13 µM. The current modified MOFCN sensor was employed to quantify trace DA concentrations in actual water sample, reaching satisfactory recovery rates ranging from 97.5 % to 105 %. The interference effect on the determination of DA showed the excellent selectivity of MOFCN using the DPV technique. A comprehensive investigation was undertaken into the kinetics and underlying mechanisms of the electrochemical reaction. The transfer of electrons and hydrogen ions facilitates the transformation of DA into dopaminoquinones (DQ), a process that is accelerated by the augmented availability of active sites in the designed sensor. The present study proposes a method for the precise and efficient analysis, which proves that the proposed sensor is highly effective for detecting DA in Environmental water samples.

Genome-wide analysis of the R2R3-MYB gene family and identification of candidate genes that regulate isoflavone biosynthesis in red clover (Trifolium pratense)

Red clover (Trifolium pratense) is a perennial legume with high feeding and medicinal value attributed to its abundant isoflavone content. Previous studies reported that R2R3-MYB transcription factors are involved in the biosynthesis of isoflavones; however, their specific role in red clover remains poorly understood. Through comprehensive genome-wide and transcriptome analyses, a total of 138 TpR2R3-MYB genes were identified and classified into 30 distinct subgroups within a phylogenetic tree. Importantly, six of these subgroups showed associations with isoflavone biosynthesis in red clover. The majority of segmental duplication events (Ka/Ks < 1) indicated that the TpR2R3-MYB gene underwent strong purifying selection during evolution. The qRT-PCR analysis demonstrated high expression levels of TpMYB79 and TpMYB53 in Minshan red clover at full flowering stage, consistent with the trend for isoflavone content determination, suggesting that TpMYB79 and TpMYB53 might be important regulators of isoflavone biosynthesis in red clover. Additionally, we observed nucleus and vacuole membrane localization of TpMYB53 and TpMYB79, with TpMYB53 primarily exerting transcriptional activation through its C-terminal activation motifs while TpMYB79 exhibited no transcriptional activity. These findings provided a foundation for the study of the biological function of R2R3-MYB transcription factors in red clover.

Why a Complementary Analytical Toolbox is Essential for Correct siRNA Duplex Content Determination.

Small interfering RNAs (siRNAs) have emerged as a highly promising class of therapeutics, capable of effectively treating a wide range of indications, including previously challenging targets. To correctly characterize the duplex content of siRNA therapeutics, a careful design of the analytical conditions is required. This is due to the weak interactions governing the duplex formation and thermal stability of these double-stranded oligonucleotides. In this study, we demonstrate that the reliability of duplex content analyses can be compromised by denaturation or hybridization artifacts caused by environmental factors related with sample preparation or with the 'non-denaturing' chromatographic analysis method. To address this issue, we propose to characterize the siRNA duplex in various analytical media with unbiased techniques such as circular dichroism spectrophotometry and use the results to evaluate potential artifacts in the 'non-denaturing' method, developed to determine the duplex content. Through this approach, one can optimize the sample preparation and develop 'non-denaturing' method conditions to minimize the influence of environmental factors on the duplex content, and thereby determine the assay of siRNA duplex with no bias.

Study on substrates purification effect and microbial community structure of vertical subsurface flow constructed wetland under siphon effect

To explore the pollutants removal effects of siphon composite vertical flow constructed wetlands (Sc-VSsFCW), alongside the characteristics of microbial communities and the varying trends of extracellular polymeric substances (EPS) content across substrate layers. Two kinds of distinct Sc-VSsFCW, with loess sphere and clay ceramic grain as substrate materials, respectively, were established. During the experiment, water quality of influent and effluent were detected to investigate system pollutant removal efficiency, routine index detection, microbial diversity analysis and EPS content determination, and substrates were analyzed by scanning electron microscopy (SEM) and X-ray diffraction (XRD). Results indicated that both substrate systems exhibited good pollutant removal effect, with the average removal rate of 90 % for ammonia nitrogen (NH4+-N), and chemical oxygen demand (COD) removal rate within the range of 60–70 %. The long-term re‑oxygenation process inherent in the system successfully augmented the dissolved oxygen (DO) content within the wastewater, and facilitate relative high abundance of Nakamurella, Bacillus, and Nitrospira in these two substrate systems, which enhanced organic matter degradation and nitrification processes. Moreover, the hydraulic conductivity and EPS content in both substrate systems displayed a declining trend, suggesting that the system's unique hydraulic conditions strategies effectively mitigated EPS accumulation and diminished the likelihood of biological clogging. Consequently, the system's distinctive re‑oxygenation and siphon drainage methods boast advantages over traditional vertical flow constructed wetlands in terms of enhancing dissolved oxygen levels and mitigating the risk of biological clogging. This study contributes theoretical underpinnings for the application of constructed wetlands in wastewater treatment and clogging mitigation.

Activated Graphite@Nickel Oxide Nanoflowers for the Dispersive Solid-Phase Microextraction (DSPE) of Copper(II) from Water and Food

Activated graphite@NiO nanoflowers was synthetized and characterized by field emission scanning electron microscopy (FE-SEM), X-ray diffraction (XRD) and Fourier transform infrared spectrometer (FTIR). It was used as adsorbent for dispersive solid-phase microextraction of Cu(II). The quantitative recovery values were found as pH 8.0, eluent 2.0 M HNO3, vortex time 30 s, adsorbent mass 20 mg, and preconcentration factor 80. The limits of detection and quantification were calculated as 4.23 µg L−1 and 14.1 µg L−1, respectively. The presented method was validated by the analyzing certified reference materials. It was sapplied to determination of copper contents of food and water samples.

Determination of the quantitative content of volatile components in ethanol-containing products

A method is proposed for correctly determining the quantitative content of volatile components, including ethyl alcohol, in alcohol-containing products. The method is based on the use of sample density measurement data and chromatographic data for determining the quantitative content of volatile compounds. It is shown that in a number of cases the difference between the values of the volumetric content of ethyl alcohol in alcoholic products, calculated according to the interstate standard GOST 3639 and according to the proposed method, exceeds by several times the declared measurement error limit of 0.1 % by volume. The results obtained can be used to update state, interstate and international standards for quality control and safety of alcoholic and alcohol-containing products.

Prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and its association with arterial stiffness in adolescents: Results from the EVA4YOU study.

To determine the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) among Western Austrian adolescents and its association with arterial stiffness as a marker of early vascular ageing. In the cross-sectional Early Vascular Ageing in the YOUth study, liver fat content was assessed by controlled attenuation parameter (CAP) using signals acquired by FibroScan (Echosense, Paris, France) in 14- to 19-year-old Austrian adolescents. Arterial stiffness was determined by carotid-femoral pulse wave velocity (cfPWV) and cardiovascular risk factors by a face-to-face interview, physical examination, and fasting blood analyses. Linear regression models and one-way analysis of variance were performed to analyze the association between liver fat content, MASLD and cfPWV. A total of 1292 study participants (65.2% female) aged 17.2 ± 1.3 years were included. MASLD was detected in 62 (4.8%) adolescents. CAP value showed a significant association with cfPWV in the unadjusted model (p < 0.001) but lost its significant influence in the multivariable model after adjusting for sex, age and cardiovascular risk criteria (increased BMI or waist circumference, impaired glucose metabolism, elevated blood pressure, elevated plasma triglycerides, and decreased HDL cholesterol; p = 0.540). In the analysis of variance, a significant increase in cfPWV was observed in adolescents with any of the five cardiovascular risk criteria for MASLD (p < 0.001), but not with the additional presence of steatotic liver disease (p = 0.291). In our adolescent cohort, liver fat content and MASLD were not found to be independent predictors for early vascular ageing. Nevertheless, the determination of liver fat content can be a useful tool to identify adolescents at high risk for cardiovascular disease and metabolic syndrome.