Extraction Step Research Articles

Exploring the use of gull eggs as bioindicators of phthalate esters exposure

Plastic pollution and associated plasticizers are a global threat affecting aquatic environments. Phthalates are among the most used plasticizers that can impact on fauna due to their endocrine-disrupting properties. The aim of this study was to investigate the use of eggs of Audouin’s gull (Larus audouinii) and yellow-legged gull (Larus michahellis) as biomonitors of phthalate exposure. Sixteen phthalates were studied and the extraction and purification steps were optimized using various sorbents and clean-up processes to efficiently recover these contaminants in gull eggs. Analysis was performed using ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UHPLC-MS/MS) using multiple reaction monitoring to obtain high selectivity and sensitivity. Quality control parameters and a comprehensive analysis of blank contribution are provided. The best performance was obtained with Oasis PRiME HLB cartridges with recoveries from 61 to 138% for most of the compounds. Pooled gull-egg samples from seven breeding colonies collected over the period 2016 – 2021 within the Iberian Peninsula revealed the presence of dibutoxyethyl phthalate (DBEP), hexyl 2-ethylhexyl phthalate (HEHP), dimethyl phthalate (DMP), diethyl phthalate (DEP), and dibutyl phthalate (DBP) at mean concentrations ranging from 2.27 to 1330 ng/g ww in Audouin's gull and from 2.74 to 487 ng/g ww in yellow-legged gull (DBP not detected). The absence of other phthalates is likely attributable to their metabolism and excretion by female adults. Overall, this study provides an accurate method to analyse phthalates in gull eggs and supports their use as bioindicators of phthalate contamination.

Computationally Optimized Graphene-Based Electrochemical Sensor with Enhanced Signal Stability for the Determination of the Antimicrobial Agent 9-aminoacridine

A hydrophobic aryl diazonium salt has been synthesized from 3,5-bis(trifluoromethyl)aniline and utilized to covalently modify graphene nanoplatelets and carbon nanotubes. The modified nanomaterials were applied on a screen-printed electrode/ion sensing membrane interface resulting in reduced potential drift to 100 μV h−1 compared to control sensors. Characterization was achieved through X-ray photoelectron spectroscopy. The electrode’s response was optimized using response surface methodology and then utilized for determination of 9-Aminoacridine (9-AA) in pharmaceutical gel dosage form and spiked human plasma without prior extraction steps. 9-AA is a fluorescent dye with antimicrobial activity that eradicates a range of microorganisms that can cause oral sores or broken skin and it has been recently used as anticancer among other uses as fluorescent dye and pH indicator. Accurate determination of 9-AA could help in adjusting dosages for each application. The optimized sensor was validated per IUPAC guidelines and obtained a wide linearity range from 1.0 × 10–7 M to 1.0 × 10–2 M, correlation coefficient of 0.9997, improved Nernstian slope 59.72, long term stability, and lower limit of detection (9.0 × 10–8 M). Furthermore, Analytical Eco-scale and AGREE methods were utilized to evaluate the presented method’s greenness.

A geospatial approach to delineate lineaments on the granite gneissic terrain of Mpwapwa district, Dodoma, central Tanzania

The study sought to utilise Geographic Information Systems (GIS), Remote Sensing, and a blend of manual and automatic techniques to delineate and analyse the spatial distribution and orientation of lineaments within the terrain of Mpwapwa District. The study employed various techniques, including the Optimum Index Factor (OIF), Band Combination, Principal Component Analysis (PCA), and Directional Filtering on the Landsat 8 imagery, and Hill Shading technique was used on Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM). These techniques were employed in the processing steps for both manual and automatic lineament extraction, utilizing various software tools. Lineament control and validation were executed using digitized geological maps, topographical maps, and Google Earth images.The results revealed lineaments with a total length of 2060.6 km, non-uniformly distributed and predominantly present in hard rock lithologies, such as migmatitic granite, migmatitic biotite gneiss, biotite gneiss, granitoid gneiss, and porphyroblastic gneiss. The findings further indicate that NE-SW and NW-SE are the dominant lineament trends. Additionally, the study revealed that areas with medium, high, and very high lineament density and intersection are primarily located in the southwest and northeast parts of the Mpwapwa District. Meanwhile, regions with low lineament density are spread through the entire district.In this study, GIS and remote sensing emerged as valuable tools for identifying and mapping lineaments within a challenging hydrogeological setting. Findings from this study will serve as a foundational framework for subsequent geological and hydrogeological investigations in the area of study.

Rapid green analytical methodology for simultaneous monitoring of nitrosamines and semi-volatile organic compounds in water and human urine samples.

Nitrosamines and semi-volatile organic compounds (SVOCs) are carcinogenic contaminants in water and biological matrices. Conventional analytical methods often struggle to detect trace concentrations due to poor extraction efficacies. This study presents a novel, low-cost, in-syringe-assisted fast extraction cum cleanup technique coupled with GC-FID for monitoring four nitrosamines and two SVOCs in drinking water and human urine samples to measure the contamination and exposure levels. This extraction protocol combines a novel green in-syringe liquid-liquid extraction step using dimethyl carbonate as the green extraction solvent, coupled with a semi-automated solid-phase extraction cleanup process. Then, the final extractant is analyzed using gas chromatography-flame ionization detection (GC-FID) for monitoring. The method demonstrated excellent linearity (R2 > 0.998) between 1.5 and 500ngmL⁻1 for all six target compounds. Detection limits ranged from 1.0 to 2.0ngmL⁻1. Extraction recoveries were between 87 and 105% for both urine samples and water samples. Intra-day and inter-day precision were below 9% RSD. The blue applicability grade index evaluation scored 70.0, indicating good practical applicability. The developed analytical protocol offers a sensitive, accurate, low-cost, rapid, and environmentally friendly method for simultaneously quantifying multiple nitrosamines and SVOCs in environmental and human samples. Its performance characteristics and sustainability metrics suggest the potential for broad application in monitoring and exposure studies.

Efficient Elimination of Matrix Effects for the Rapid Screening of β-Agonist Residues in Porcine Urine by Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS)

An efficient and innovative clean-up method was developed for the rapid screening of β-agonists residues in porcine urine by ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). 1% Aqueous ammonium hydroxide was shown to be effective for the removal of matrix components as a wash step in solid phase extraction (SPE). A significant reduction in matrix effects was observed with values from 81% to 108%. Furthermore, under the optimized conditions, the recoveries of all analytes at 0.3, 0.6, and 3.0 μg/L ranged from 70.1% to 109.0% when employing the external standard method for quantitative analysis, rather than relying on matrix-matched standards or isotope-labelled internal standards to mitigate matrix effects. The limits of detection (LOD) and limits of quantification (LOQ) were 0.1 μg/L and 0.3 μg/L, respectively. This method has been successfully applied to screen β-agonists in porcine urine and is a promising tool for multi-residue analysis.

Co-Culture of Gut Bacteria and Metabolite Extraction Using Fast Vacuum Filtration and Centrifugation.

This protocol describes a robust method for the extraction of intra and extracellular metabolites of gut bacterial mono and co-cultures. In recent years, the co-culture techniques employed in the field of microbiology have demonstrated significant importance in regard to understanding cell-cell interactions, cross-feeding, and the metabolic interactions between different bacteria, fungi, and microbial consortia which enable the mimicking of complex co-habitant conditions. This protocol highlights a robust reproducible physiologically relevant culture and extraction protocol for the co-culture of gut bacterium. The novel extraction steps are conducted without using quenching and cell disruption through bead-cell methods, freeze-thaw cycles, and sonication, which tend to affect the physical and biochemical properties of intracellular metabolites and secretome. The extraction procedure of inoculated bacterial co-cultures and monocultures use fast vacuum filtration and centrifugation. The extraction methodology is fast, effective, and robust, requiring 4 h to complete.

Two-step deep-learning identification of heel keypoints from video-recorded gait.

Accurate and fast extraction of step parameters from video recordings of gait allows for richer information to be obtained from clinical tests such as Timed Up and Go. Current deep-learning methods are promising, but lack in accuracy for many clinical use cases. Extracting step parameters will often depend on extracted landmarks (keypoints) on the feet. We hypothesize that such keypoints can be determined with an accuracy relevant for clinical practice from video recordings by combining an existing general-purpose pose estimation method (OpenPose) with custom convolutional neural networks (convnets) specifically trained to identify keypoints on the heel. The combined method finds keypoints on the posterior and lateral aspects of the heel of the foot in side-view and frontal-view images from which step length and step width can be determined for calibrated cameras. Six different candidate convnets were evaluated, combining three different standard architectures as networks for feature extraction (backbone), and with two different networks for predicting keypoints on the heel (head networks). Using transfer learning, the backbone networks were pre-trained on the ImageNet dataset, and the combined networks (backbone + head) were fine-tuned on data from 184 trials of older, unimpaired adults. The data was recorded at three different locations and consisted of 193 k side-view images and 110 k frontal-view images. We evaluated the six different models using the absolute distance on the floor between predicted keypoints and manually labelled keypoints. For the best-performing convnet, the median error was 0.55 cm and the 75% quartile was below 1.26 cm using data from the side-view camera. The predictions are overall accurate, but show some outliers. The results indicate potential for future clinical use by automating a key step in marker-less gait parameter extraction.

A broad-spectrum LC-MS/MS method for screening and quantification of 100 analytes in clinical and autopsy blood samples

Liquid chromatography coupled with mass spectrometry (LC-MS) has been tremendously used for screening purposes in forensic toxicology, because of their great adaptability and reasonable time/resource consumption. Herein, a fully validated method based on liquid-liquid extraction (LLE) in human whole blood, by a multiple reaction monitoring (MRM) analysis through LC-MS/MS, is described. The proposed method simultaneously detects 100 analytes (plus three deuterated internal standard compounds) belonging to many different classes, including drugs of abuse, prescription and over-the-counter drugs commonly involved in poisoning and medical malpractice cases in our territory, as well as certain new psychoactive substances (NPS) and toxic substances potentially associated with adverse effects. The optimised LLE employs one extraction step of 200 μL blood using 0.1 M HCl methyl-tert-butyl-ether (MTBE) (acidified with concentrated HCl) proved to be suitable for the extraction of basic and neutral substances; as a reconstitution solvent a mixture of 88:12v/v, 0.1 % formic acid in 10 mM aqueous ammonium acetate, pH 3.5: 0.1 % formic acid in acetonitrile was used, yielding satisfactory recoveries for all analytes. The method was sensitive, showing low LOD/ LOQ for all substances ranging from 0.01 to 5/ 0.05–20 ng/mL, respectively. Linearity ranged between 0.05–500 ng/mL (R2 = 0.9811–0.9995), and the inter- and intra-day precisions ranged between 3–15 % and 7–18 %, respectively. Accuracy was evaluated in terms of percentage recovery, lying within acceptable range. The matrix effect expressed as ion suppression/enhancement of each analyte was in the range ±25 % for all analytes. Post-preparative stability of analytes was higher than 85 %, while no carryover between runs was observed. The developed method has been successfully applied in routine toxicological analyses for the analysis of biological samples from clinical and autopsy cases.

Cost estimation of Non-CO2 greenhouse gas emissions reduction- A bottom-up analysis of coal-bed methane extraction and utilization in Shanxi, China

This paper analyzes the synergistic effect of coal-bed methane (CBM) extraction and utilization on greenhouse gas (GHG) emissions reduction in Shanxi Province. Using data from a survey of 87 CBM extraction firms and 61 CBM utilization firms, we draw abatement cost curves of methane emission reduction with the "Conserved Supply Curve (CSC)." Our findings show large diversity among the methane abatement costs of extraction firms, meanwhile cost diversity in the extraction step is mainly due to differences in extraction technologies, rather than mine types. Power generation is the main utilization option for CBM, with much smaller abatement cost diversity than in the extraction step. Most utilization projects are established near CBM sources, with small-scale equipment supplied by domestic vendors. We suggest Shanxi could introduce a carbon pricing mechanism to further encourage CBM extraction and increase its scale. Promoting technology standardization can reduce cost diversity among extraction firms, while developing CBM purifying firms can create standardized products and break the strong integration of extraction and utilization. Strengthening CBM transportation infrastructure can form a competitive market with multi-source supply upstream and efficient transportation downstream. Promoting joint research and development for domestic CBM utilization equipment can also improve its scale.

Characterization of Camphene- and Fenchol-Based Hydrophobic Eutectic Solvents and Their Application in Aldehyde Extraction.

Binary terpenoid-based eutectic systems consisting of the natural substances camphene (CA), fenchol (FE), thymol (TH), menthol (ME), dodecanoic acid (DA), and 1-dodecanol (DO) are synthesized and screened for their Solid-Liquid Equilibrium (SLE) and eutectic compositions. Out of nine eutectic systems, 13 solvent compositions at eutectic points and next to them, in addition to the reference solvent, TH:ME, are synthesized and applied for the solvent extraction of the aromatic aldehydes vanillin (VAN), syringaldehyde (SYR), and p-hydroxybenzaldehyde (HYD) from an acidic aqueous model solution. The extraction efficiency is determined from aldehyde concentrations measured by High-Performance Liquid Chromatography (HPLC), taking into consideration mutual solubility measured by Karl Fischer titration (KF) and a Total Organic Carbon-analysis (TOC). Physicochemical properties, such as the density, viscosity, and stability of the solvents, are evaluated and discussed. Additionally, 1H-NMR measurements are performed to verify hydrogen bonding present in some of the solvents. The results show that all synthesized eutectic systems have a strong hydrophobic character with a maximum water saturation of ≤2.21 vol.% and solvent losses of ≤0.12 vol.% per extraction step. The hydrophobic eutectic solvents based on CA exhibit lower viscosities, lower mutual solubility, and lower extraction efficiency for the aromatic aldehydes when compared with FE-based solvents. The highest extraction efficiencies for VAN (>95%) and for SYR (>93%) at an extraction efficiency of 92.61% for HYD are achieved by the reference solvent TH:ME (50:50 mol.%). With an extraction efficiency of 93.08%, HYD is most preferably extracted by the FE-DO-solvent (80:20 mol.%), where the extraction efficiencies for VAN and SYR reach their maximum at 93.37% and 90.75%, respectively. The drawbacks of the high viscosities of 34.741 mPas of the TH:ME solvent and 31.801 mPas of the FE-DO solvent can be overcome by the CA-TH solvent, which has a viscosity of 3.436 mPas, while exhibiting extraction efficiencies of 71.92% for HYD, >95% for VAN, and >93% for SYR, respectively.

Development of a Combined Protein and Dye Extraction Approach for the Analysis of Keratin-Based Textiles.

Archaeological textiles represent precious remains from ancient culture; this is because of the historical and cultural importance of the information that can be obtained by such relics. However, the extremely complicated state of preservation of these textiles, which can be charred, partially or totally mineralized, with heavy soil or biological contamination, requires highly specialized and sensitive analytical tools to perform a comprehensive study. Starting from these considerations, the paper presents a combined workflow that provides the extraction of dyes and keratins and keratin-associated proteins in a single step, minimizing sampling while maximizing the amount of information gained. In the first phase, different approaches were tested and two different protocols were found suitable for the purpose of the unique workflow for dyes/keratin-proteins: a slightly modified urea protocol and a recently proposed new TCEP/CAA procedure. In the second step, after the extraction, different methods of cleanup and workflow for proteins and dyes were investigated to develop protocols that did not result in a loss of aliquots of the analytes of interest and to maximize the recovery of both components from the extracting solution. These protocols investigated the application of two types of paramagnetic beads, unmodified and carboxylate-coated hydrophilic magnetic beads, and dialysis and stage-tip protocols. The newly designed protocols have been applied to cochineal, weld, orchil, kermes, and indigo keratin-based dyed samples to evaluate the effectiveness of the protocols on several dye sources. These protocols, based on a single extraction step, show the possibility of investigating dyes and keratins from a unique sample of 1 mg or lesser, with respect to the thresholds of sensitivity and accuracy required in the study of textile artifacts of historical and artistic values.

Isolation of ovatoxin-a from Ostreopsis cf. ovata cultures. A key step for hazard characterization and risk management of ovatoxins

Ostreopsis cf. ovata, a benthic/epiphytic marine dinoflagellate, is currently spreading in tropical, sub-tropical and temperate areas, causing periodic Harmful Algal Blooms (HABs). It produces a wide array of palytoxin-like compounds named ovatoxins (OVTXs), with OVTX-a generally the most abundant congener. Despite numerous cases of human poisonings and environmental damage associated with the presence of OVTXs and O. cf. ovata proliferations, a complete characterization of the toxicity of this class of molecules cannot be performed until Reference Material (RM) for individual congeners is available. This, in turn, requires the availability of sufficient amounts of toxin at a high purity grade. To achieve this goal, herein an analytical re-evaluation of critical-steps of OVTX-a isolation from O. cf. ovata cell pellets is reported. The overall procedure consists of four steps, namely an extraction, a Medium Pressure Liquid Chromatography (MPLC) separation, and two preparative High Performance Liquid Chromatography (HPLC) steps. Particular attention was paid to the extraction step to evaluate the repeatability in OVTX-a yields. For subsequent steps, loading sample preparation and chromatographic conditions were refined. As a result, a significant increase in recovery yields (from 12.5 to 20 ± 3%) and in purity grade (from 51% to 94%) of the isolated OVTX-a was achieved in comparison to previous studies. The improved procedure can easily be applied to isolate sufficient quantities of a good candidate RM for OVTX-a.

Analysis of miRNA Expression Profiles in Traumatic Brain Injury (TBI) and Their Correlation with Survival and Severity of Injury.

Traumatic brain injury (TBI) is the leading cause of traumatic death worldwide and is a public health problem associated with high mortality and morbidity rates, with a significant socioeconomic burden. The diagnosis of brain injury may be difficult in some cases or may leave diagnostic doubts, especially in mild trauma with insignificant pathological brain changes or in cases where instrumental tests are negative. Therefore, in recent years, an important area of research has been directed towards the study of new biomarkers, such as micro-RNAs (miRNAs), which can assist clinicians in the diagnosis, staging, and prognostic evaluation of TBI, as well as forensic pathologists in the assessment of TBI and in the estimation of additional relevant data, such as survival time. The aim of this study is to investigate the expression profiles (down- and upregulation) of a panel of miRNAs in subjects deceased with TBI in order to assess, verify, and define the role played by non-coding RNA molecules in the different pathophysiological mechanisms of brain damage. This study also aims to correlate the detected expression profiles with survival time, defined as the time elapsed between the traumatic event and death, and with the severity of the trauma. This study was conducted on 40 cases of subjects deceased with TBI (study group) and 10 cases of subjects deceased suddenly from non-traumatic causes (control group). The study group was stratified according to the survival time and the severity of the trauma. The selection of miRNAs to be examined was based on a thorough literature review. Analyses were performed on formalin-fixed, paraffin-embedded (FFPE) brain tissue samples, with a first step of total RNA extraction and a second step of quantification of the selected miRNAs of interest. This study showed higher expression levels in cases compared to controls for miR-16, miR-21, miR-130a, and miR-155. In contrast, lower expression levels were found in cases compared to controls for miR-23a-3p. There were no statistically significant differences in the expression levels between cases and controls for miR-19a. In cases with short survival, the expression levels of miR-16-5p and miR-21-5p were significantly higher. In cases with long survival, miR-21-5p was significantly lower. The expression levels of miR-130a were significantly higher in TBI cases with short and middle survival. In relation to TBI severity, miR-16-5p and miR-21-5p expression levels were significantly higher in the critical-fatal TBI subgroup. Conclusions: This study provides evidence for the potential of the investigated miRNAs as predictive biomarkers to discriminate between TBI cases and controls. These miRNAs could improve the postmortem diagnosis of TBI and also offer the possibility to define the survival time and the severity of the trauma. The analysis of miRNAs could become a key tool in forensic investigations, providing more precise and detailed information on the nature and extent of TBI and helping to define the circumstances of death.

Recent Advances in Synthesis, Properties, and Applications of Magnetic Ionic Liquids: A Review

AbstractMagnetic ionic liquids (MILs) are a subclass of ionic liquids that exhibit paramagnetic properties intrinsically, without the need for additional magnetic particles. These properties can be attributed to the cations, anions, or both. Typically, MILs incorporate transition or inner‐transition metals within the anion structure. These adaptable liquids demonstrate remarkable physicochemical properties, notably a robust response to external magnetic fields. The body of research concerning the synthesis, characterization, and practical applications of MILs has expanded swiftly in recent times. This review delves into the latest research on the synthesis, properties, and utilization of MILs across various domains, including catalysis, fluid‐fluid separation, polymer science, and analytical chemistry. Within the realm of analytical chemistry, MILs are pivotal, serving as solvents in various analytical procedures such as dispersive liquid‐liquid micro‐extraction, matrix solid‐phase dispersion, and single‐drop micro‐extraction. Owing to their paramagnetic nature, MILs are instrumental in the separation process, streamlining organic reactions by obviating the need for traditional extraction or centrifugation steps.

Computationally efficient Complete-Sampling-based fault tree analyses for seismic probabilistic safety assessment of nuclear facilities

The seismic risk of nuclear power plants (NPPs) can be assessed through seismic probabilistic safety assessment (PSA) based on fault tree analyses (FT). The conventional FT-based approach has limitations for handling the correlated relation of basic events and utilizing the sampling-based FT analysis for addressing such issues demands considerable computational cost. In particular, accurate consideration of the partial dependences between the failure probabilities of NPP components in seismic hazard events can further increase the computational cost of risk quantification. Therefore, this paper presents an improved complete-sampling-based seismic PSA risk quantification method. The novelty of this method is that it increases the efficiency of the risk quantification by introducing sequential sampling and truncation to the conventional fault tree analysis. In addition, as sub-concepts, we eliminate unrequired sampling extraction steps via integrated multivariate response distribution-based sampling for components and continual evaluation of the convergence of system failure probabilities. On three considered examples, including an actual NPP, the proposed method requires 91%–96% fewer samples than the conventional method, without sacrificing accuracy. These results indicate the efficiency of the proposed method, which is expected to become a useful tool in the future.

Net hydrogen bond interaction driven supramolecular deep eutectic solvent formation: The case of cyclodextrins

Supramolecular deep eutectic solvents (SUPRADESs) as green designer solvents can be applied to facilitate key steps of separation, extraction, catalysis, and drug transport processes. However, so far, the details concerning the formation mechanism of SUPRADESs are still not clear, thus hindering full development. The present study is dedicated to the theoretical exploration of the structural properties of co-formers that can form SUPRADESs with cyclodextrins (CDs) to design better-performing task-specific SUPRADESs and further structural modifications. Firstly, a series of aliphatic organic acids (AOAs) with similar structures were screened for forming the SUPRADESs. The structure-property relationship showed that co-formers with a higher hydrogen-bond donating ability were found to favor the propensity to form SUPRADESs. Based on this finding, an empirical rule originating from molecular surface electrostatic potential (ESP) descriptors was proposed that can preliminarily predict the formation possibility of SUPRADESs. Density functional theory (DFT) calculations in conjunction with molecular dynamics (MD) simulations further demonstrated that the formation of SUPRADESs mainly depends on the net hydrogen donating ability of co-formers, which is affected by the electron-withdrawing substituent, the carbon chain length, and the molecular self-association degree. Overall, this study provides important guidance to develop novel and green functional SUPRADESs, which will greatly simplify the SUPRADES manufacturing process and reduce the time cost.

A novel “cells-on-particles” cytotoxicity testing platform in vitro: design, characterization, and validation against engineered nanoparticle aerosol

The presented research introduces the "Cells-on-Particles" integrated aerosol sampling and cytotoxicity testing in vitro platform, which allows for the direct assessment of the biological effects of captured aerosol particles on a selected cell type without the need for extraction or resuspension steps. By utilizing particles with unaltered chemical and physical properties, the method enables simple and fast screening of biological effects on specific cell types, making it a promising tool for assessing the cytotoxicity of particulate matter in ambient and occupational air. Platforms fabricated from cellulose acetate (CA) and poly[ε]caprolactone (PCL) were proven to be biocompatible and promoted the attachment and growth of the human bronchial epithelial cell line BEAS-2B. The PCL platforms were exposed to simulated occupational aerosols of silver, copper, and graphene oxide nanoparticles. Each nanoparticle type exhibited different and dose-dependent cytotoxic effects on cells, evidenced by reduced cell viability and distinct, particle type-dependent gene expression patterns. Notably, copper nanoparticles were identified as the most cytotoxic, and graphene oxide the least. Comparing the “Cells-on-Particles" and submerged exposure (“Particles-on-Cells") testing strategies, BEAS-2B cells responded to selected nanoparticles in a comparable manner, suggesting the developed testing system could be proposed for further evaluation with more complex environmental aerosols. Despite limitations, including particle agglomeration and the need for more replicates to address variability, the “Cells-on-Particles” platform enables effective detection of toxicity induced by relatively low levels of nanoparticles, demonstrating good sensitivity and a relatively simpler procedure compared to standard 2D cell exposure methods.

CE-UV method for the determination of catecholamine metabolites from baby pee-covered diapers

A method has been developed for the analysis of vanillylmandelic acid, homovanillic acid, and 5-hydroxyindoleacetic acid from baby urine as biomarkers of neuroblastoma in infants. Disposable diapers were employed as sampling devices in order to guarantee a low invasiveness during this step. The proposed method consists on a simple extraction step with water from the used diaper followed by the measurement using capillary electrophoresis with UV detection. The Box-Behnken design (BBD) was utilized to optimize the process of extracting catecholamine metabolites from the examined samples. The variables of the sample preparation step were optimized and the method was validated obtaining limits of quantification of 1.65 μg mL−1, good intraday and inter-day precision with RSDs under 15 %. Finally the method was applied to real samples collected from the Department of Neonatology, University Clinical Centre (Gdańsk, Poland). The greenness of the proposed method was also evaluated with different tools (i.e., AGREEPrep and GAPI) with satisfactory results, which allow to state that the method can be considered green. Moreover, its practicality was evaluated by application of BAGI tool, proving to be a practical and economical method to be applied in routine laboratories for determination of catecholamine metabolites in urine-type samples.

Effects of respiratory muscular training in post-covid-19 patients: a systematic review and meta-analysis of randomized controlled trials

BackgroundPost-Covid-19 syndrome is defined as non-self-sustaining signs and/or symptoms lasting more than 12 weeks, occurring during or after a Covid-19 infection. The primary outcome was the analysis of the respiratory muscle training (RMT) result in respiratory muscle strength, (maximum inspiratory pressure (MIP) e maximum expiratory pressure (MEP)); and the secondary results were the analysis of lung function, dyspnea, quality of life (QoL), fatigue and functional performance. Methods: The PICO description for this research was: P: patients diagnosed with post-Covid-19; I: RMT; C: Sham or simulated inspiratory or expiratory muscle training and usual care; O: MIP, MEP, Lung Function, level of dyspnea, QoL and functional performance. On January 15, 2024, the following databases were consulted: PubMed, Lilacs, Cochrane Library, PEDro and EMBASE. Randomized clinical trials were included without restrictions on year of publication or language. The data selection and extraction steps were carried out by two independent reviewers. Results: The search in the databases resulted in a total of 14,216 studies, and after the eligibility process, 7 studies were included with a sample of 527 patients. The MIP results suffered a statistically significant increase, that is, the RMT was favorable to improve the MIP (MD = 29.55cmH2O IC 95%: 7.56cmH2O to 51.54cmH2O, p = 0,00001). For the MEP outcome, the results were statistically significant in favor of RMT (MD = 10.93cmH2O CI 95%: 3.65cmH2O to 18.21cmH2O, p = 0.00001). We also noticed a significant improvement for the group that received the RMT in the distance covered in the 6-Minute Walk Test (6MWT) MD = 40.70 m CI 95%: 18.23 m to 65.17 m%, p = 0.01). Conclusion: We noticed that RMT is being used in patients with respiratory diseases, including post-Covid-19. Our systematic review observed that this training provides an increase in inspiratory and expiratory muscle strength, a reduction in dyspnea levels, and an increase in the distance covered in the 6MWT and improved QoL in post-covid patients after intervention.

Isolation of Fiber-Cellulose and Characterization from Oil Palm Frond for 3D and 4D Printing Materials Application

The oil palm frond (OPF), a primary biomass derived from agricultural waste in oil palm production, holds significant potential for evolving into cellulose fiber. Leveraging natural materials for cellulose extraction aligns with environmental sustainability. In this study, we focus on separating cellulose fibers from OPF biomass. The OPF is divided into its leaflet and frond-axial parts, undergoing a sequence of steps: dewaxing, alkaline treatment, delignification, hydrogen peroxide treatment, and final filtration. These steps assess both efficacy and cellulose fiber outputs. Notably, the axial and leaflet portions yield cellulose fibers, effective as an initial extraction step before progressing to nanoscale slicing. Quantitatively, extraction yields indicate that 14.13% and 19.52% of the 100 g leaflet and frond-axial portions can be harvested. SEM images confirm well-dispersed individual fibers. Additionally, GCMS results reveal slightly higher carbon dioxide gas in the palm leaflet sample than in the palm frond-axial sample after five days of water soaking. This procedure efficiently initializes OPF for cellulose extraction, positioning it as an initial ingredient for subsequent 3D/4D printing material production.