Fast Extraction Method Research Articles

Novel reusable and switchable deep eutectic solvent for extraction and determination of curcumin in water and food samples

For the first time, a fast and easy extraction method based on a unique reusable and switchable deep eutectic solvent (made of octylamine, succinic acid, and water as precursors) was presented and utilized for the microextraction and determination of curcumin as a model analyte. The main factors used to induce a phase transition in the as-prepared deep eutectic solvent were solutions of NaOH and HCl. Among the standout characteristics of the suggested deep eutectic solvent are the removal of toxic organic solvents like THF, the lack of a need for centrifugation, and the ability to be reused in subsequent extractions. The influence of effective parameters (i.e., proportions of deep eutectic solvent structure components, volume of prepared deep eutectic solvent, volume and concertation of NaOH, volume of HCl, and salt effect) on the extraction procedure were investigated. The calibration curve also was linear in the range of 35–500 μg L−1 with coefficients of determination (R2) of 0.9976. Limit of detection (S/N = 3) 10.0 μg L−1, the limit of quantification (LOQ) of 35.0 μg L−1, the relative standard deviations (RSDs %) composed of intra-day RSD (4.7) and inter-day RSD (6.4), preconcentration factor of 40.0, enrichment factor of 38.68, and relative recovery of 92.6%–100.3 % were achieved. The reusable and switchable deep eutectic solvent based-dispersive liquid-liquid microextraction technique was proficiently employed to expedite easy and fast extraction of curcumin from water and food samples.

Comparison of DNA extraction methods for COVID-19 host genetics studies.

The coronavirus disease 2019 (COVID-19) pandemic has resulted in global shortages in supplies for diagnostic tests, especially in the developing world. Risk factors for COVID-19 severity include pre-existing comorbidities, older age and male sex, but other variables are likely play a role in disease outcome. There is indeed increasing evidence that supports the role of host genetics in the predisposition to COVID-19 outcomes. The identification of genetic factors associated with the course of SARS-CoV-2 infections relies on DNA extraction methods. This study compared three DNA extraction methods (Chelex®100 resin, phenol-chloroform and the QIAamp DNA extraction kit) for COVID-19 host genetic studies using nasopharyngeal samples from patients. The methods were compared regarding number of required steps for execution, sample handling time, quality and quantity of the extracted material and application in genetic studies. The Chelex®100 method was found to be cheapest (33 and 13 times cheaper than the commercial kit and phenol-chloroform, respectively), give the highest DNA yield (306 and 69 times higher than the commercial kit and phenol-chloroform, respectively), with the least handling steps while providing adequate DNA quality for downstream applications. Together, our results show that the Chelex®100 resin is an inexpensive, safe, simple, fast, and suitable method for DNA extraction of nasopharyngeal samples from COVID-19 patients for genetics studies. This is particularly relevant in developing countries where cost and handling are critical steps in material processing.

Fast Feature Extraction Method for Brillouin Scattering Spectrum of OPGW Optical Cable Based on BOTDR.

Brillouin optical time domain reflectometry (BOTDR) detects fiber temperature and strain data and represents one of the most critical ways of identifying abnormal conditions such as ice coverage and lightning strikes on optical fiber composite overhead ground wire (OPGW) cable. Existing BOTDR extracts brillouin frequency shift (BFS) features with cumulative averaging and curve fitting. BFS feature extraction is slow for long-distance measurements, making realizing real-time measurements on fiber optic cables challenging. We propose a fast feature extraction method for block matching and 3D filtering (BM3D) + Sobel brillouin scattering spectroscopy (BGS). BM3D takes the advantage of non-local means (NLM) and wavelet denoising (WD) and utilizes the spatial-domain non-local principle to enhance the denoising in the transform domain. The global filtering capability of BM3D is utilized to filter out the low cumulative average BGS noise and the BFS feature extraction is completed using Sobel edge detection. Simulation verifies the feasibility of the algorithm, and the proposed method is embedded in BOTDR to measure 30 km of actual OPGW line. The experimental results show that under the same conditions, the processing time of this method is reduced by 37 times compared to that with the 50,000-time cumulative averaging + levenberg marquardt (LM) algorithm without severe distortion of the reference resolution. The method improves the sensor demodulation speed by using image processing technology without changing the existing hardware equipment, which is expected to be widely used in the new generation of BOTDR.

A fast and accurate brain extraction method for CT head images

BackgroundBrain extraction is an essential prerequisite for the automated diagnosis of intracranial lesions and determines, to a certain extent, the accuracy of subsequent lesion recognition, location, and segmentation. Segmentation using a fully convolutional neural network (FCN) yields high accuracy but a relatively slow extraction speed.MethodsThis paper proposes an integrated algorithm, FABEM, to address the above issues. This method first uses threshold segmentation, closed operation, convolutional neural network (CNN), and image filling to generate a specific mask. Then, it detects the number of connected regions of the mask. If the number of connected regions equals 1, the extraction is done by directly multiplying with the original image. Otherwise, the mask was further segmented using the region growth method for original images with single-region brain distribution. Conversely, for images with multi-region brain distribution, Deeplabv3 + is used to adjust the mask. Finally, the mask is multiplied with the original image to complete the extraction.ResultsThe algorithm and 5 FCN models were tested on 24 datasets containing different lesions, and the algorithm’s performance showed MPA = 0.9968, MIoU = 0.9936, and MBF = 0.9963, comparable to the Deeplabv3+. Still, its extraction speed is much faster than the Deeplabv3+. It can complete the brain extraction of a head CT image in about 0.43 s, about 3.8 times that of the Deeplabv3+.ConclusionThus, this method can achieve accurate brain extraction from head CT images faster, creating a good basis for subsequent brain volume measurement and feature extraction of intracranial lesions.

Comparative Study of Genomic DNA Extraction Protocols from Whole Blood for P53 Gene Polymorphism in Persons with and without Prostate Cancer

In latest decades, genetic methods have developed into a potent tool in a number of life-attaching applications. In research looking at demographic genetic diversity, QTL detection, marker-assisted selection, and food traceability, DNA-based technologies like PCR are being employed more and more. These approaches call for extraction procedures that provide efficient nucleic acid extraction and the elimination of PCR inhibitors. The first and most important stage in molecular biology is the extraction of DNA from cells. For a molecular scientist, the high quality and integrity of the isolated DNA as well as the extraction method's ease of use and affordability are crucial factors. The present study was designed to establish a simple, fast and inexpensive method for DNA extraction from human peripheral blood (normal male n=2, age 24 years old, patient male (prostate cancer) n=2, age 65 years old) by comparing between them, and aimed to standardize a protocol of DNA extraction using five extraction protocols. The first method was the modified organic method by using sodium perchlorate instead of organic solvent (phenol, chloroform), sodium perchlorate advantage comes from its cheap price and low storage and shipping requirements, the second was the enzymatic method by using proteinase K, third method was done by using detergent, the fourth used phenol-chloroform; finally fifth one was salting out method. The result showed that the organic method gives a good DNA yield and needs relatively short time while the enzymatic method gives an excellent DNA purity which are more suitable for PCR by comparing five protocols using the spectrophotometer and Nanodrop technetium in addition to electrophoresis. Through the use of the five suggested procedures, the PCR multiplication of the P53 gene with the isolated DNA was effectively carried out. This indicates that, with the exception of the detergent approach, there were no significant inhibiting substances for Taq polymerase in the final solution.

Quantitative determination of organophosphorus, pyrethroid, and dithiolane pesticide residues in brown rice using supercritical fluid extraction and liquid chromatography-tandem mass spectrometry.

Supercritical fluid extraction (SFE) is a fast, versatile, and solvent-efficient automatic extraction method. Despite its advantages, the results of our proficiency tests imply that the applicability assessments of SFE for pesticide residues were insufficient. In this study, as analytical method using SFE was optimized and validated by testing the incurred and fortified brown rice samples with organophosphorus, pyrethroid, and dithiolane pesticides. Validation study using the incurred sample with etofenprox, fenitrothion, and isoprothiolane was performed by comparing the analytical results obtained using the SFE and solid-liquid extraction with homogenization (SLE), which is a well-validated official multi-residue extraction method. The tests on the fortified samples were also performed for seven pesticide residues, chlorpyrifos, diazinon, O-ethyl O-4-nitrophenyl phenylphosphonothioate (EPN), etofenprox, fenitrothion, isoxathion, and isoprothiolane, at three fortification levels, 0.001, 0.01, and 0.1 mg/kg. In the test on the incurred samples, optimized SFE-to-SLE analytical values (CSFE/CSLE) were in 99.2-100.1%, with RSD lower than 3%. In contrast, the analytical-to-spiked concentrations in the tests on the fortified samples were in 96.4-105.0%, with RSD lower than 8.8%. These results indicate that the proposed SFE method, which is well validated with the incurred brown rice sample, is useful for determining organophosphorus, pyrethroid, and dithiolane pesticide residues in brown rice. The proposed SFE method satisfies EU and Japanese maximum residue limits. The consumption of solvent can be reduced to one-fourth of that of SLE using the proposed SFE method.

A robust video stabilization method for camera shoot in mobile devices using GMM-based motion estimator

The application of video stabilization methods to mobile devices with low computing power is an important issue. In this study, we aim to provide a robust video stabilization solution for such mobile devices with limited computing resources. We first propose a fast feature extraction method based on a block-wise gradient. Then, we extract motion information through feature point pairs and rebuild the camera path. Finally, the data were smoothed and the corresponding compensation matrix was calculated to obtain a stable video. However, large foreground objects may lead to incorrect motion estimation. Thus, we propose a fast foreground segmentation method based on GMM for jitter scenes to eliminate foreground features and obtain a more accurate camera trajectory. The experimental results show that the proposed method is robust against large foreground objects and exhibits good real-time performance.

Malaria diagnosis using a combined system of a simple and fast extraction method with a lyophilised Dual-LAMP assay in a non-endemic setting

ABSTRACT Malaria is a parasitic disease distributed in tropical areas but with a high number of imported cases in non-endemic countries. The most specific and sensitive malaria diagnostic methods are PCR and LAMP. However, both require specific equipment, extraction procedures and a cold chain. This study aims to solve some limitations of LAMP method with the optimization and validation of six LAMP assays, genus and species-specific, using an easy and fast extraction method, the incorporation of a reaction control assay, two ways (Dual) of result reading and reagent lyophilization. The Dual-LAMP assays were validated against the Nested-Multiplex Malaria PCR. A conventional column and saline extraction methods, and the use of lyophilized reaction tubes were also assessed. A new reaction control Dual-LAMP-RC assay was designed. Dual-LAMP-Pspp assay showed no cross-reactivity with other parasites, repeatability and reproducibility of 100%, a significant correlation between parasite concentration and time to amplification and a LoD of 1.22 parasites/µl and 5.82 parasites/µl using column and saline extraction methods, respectively. Sensitivity and specificity of the six Dual-LAMP assays reach values of 100% or close to this, being lower for the Dual-LAMP-Pm. The Dual-LAMP-RC assay worked as expected. Lyophilized Dual-LAMP results were concordant with the reference method. Dual-LAMP malaria assays with the addition of a new reaction control LAMP assay and the use of a fast and easy saline extraction method, provided low limit of detection, no cross-reactivity, and good sensitivity and specificity. Furthermore, the reagent lyophilization and the dual result reading allow their use in most settings.

Research on fast and accurate extraction method of Brillouin frequency shift based on window-weighted centroid algorithm

Curve fitting method (CFM) is the primary method for extracting Brillouin frequency shift (BFS) in Brillouin sensing system. However, the accuracy of extraction result is affected by the initial parameter settings, the spectral shape of the Brillouin power spectrum (BPS) and the fitted curve model. Additionally, the fitting process is time-consuming. In view of this problem, this paper proposes a fast and accurate extraction method of BFS based on the window-weighted centroid algorithm (WCA). This method achieves extraction of BFS by selecting data window and calculating weighted centroid for BPS. The proposed method was experimentally verified using a Brillouin Optical Time Domain Reflectometer (BOTDR) temperature sensing system for extracting the temperature information of the 50 m heating section near the end of a 9.4 km optical fiber. Compared with CFM, cross-correlation method (XCM), backward propagation neural network (BP-NN) and centroid algorithm (CA), the proposed method has a higher accuracy and faster processing speed and is suitable for dealing with distorted non-ideal spectral shape. The proposed WCA method is an alternative method for extracting BFS information, especially in situations where the real-time requirement is high and the spectral shape is complex.

Microextraction by packed sorbent of some β-blocker drugs with chitosan@mof-199 bio-composite in human saliva, plasma, and urine samples

The current study introduces microextraction by packed sorbent (MEPS) to extract three beta-blocker drugs (propranolol, atenolol, and betaxolol) from biological samples. The separation and detection of the drugs were performed by high performance liquid chromatography followed by UV detection. A green approach was applied for synthesizing chitosan@MOF-199 bio-composite, which was packed into the initial part of a metal spinal (22 gage). The effective parameters on the adsorption and desorption efficiencies, including sample solution pH, eluent flow rate, cycle numbers, type and volume of eluent solvent were evaluated and optimized. Under optimal conditions linear ranges (LRs = 5–600 µg L−1), limits of detection (LODs = 1.5–4.5 µg L−1), and relative standard deviations (RSDs% = 4.7 −5.3% with three replicates and concentration of 100 µg L−1) were obtained. Relative recoveries (RR%) for plasma (77–99%), saliva (81–108%), and urine (80–112%) samples were obtained. In this study, the drug release profile of propranolol in urine was evaluated. The results showed that the highest amount of propranolol is released 4 h after taking the drug. Based on the obtained results, this is an effective, fast, sensitive, reproducible, green, and user-friendly method for beta-blocker drug extraction in biological samples.

Development of the QuEChERS Extraction Method for the Determination of Polychlorinated Biphenyls (Aroclor 1254) in Soil Samples by Using GC-MS

Polychlorinated biphenyls (PCBs) have been found in soil, which has typically been the result of industrial pollution in the past two decades. Although they are banned, PCBs can still be found in soils and other environmental media. For this reason, it is critical to develop an analytical method that can reliably identify and monitor their sources. This study describes a gas chromatography with mass spectrometry (GC-MS) technique, which was used to detect PCBs in soil samples by using a fast extraction method. Using the QuEChERS (quick, easy, cheap, effective, rugged, and safe) method, PCBs were more effectively extracted from soil. Different related parameters, such as time of shaking and centrifuging, type of solvent, and clean-up adsorbents, were compared and optimized. As the extraction solvent, acetonitrile/water produced the best results, and as the dispersive solid-phase extraction sorbent, diatomaceous earth produced the best results. Procedures allowed recovery values between 95.3% and 103.2%. A limit of detection of 1.9 µg/kg was determined with relative standard deviations (n = 3) of 2.1–4.0% for intra-day assays and 3.6–5.8% for inter-day assays. It was demonstrated that the method was simple, sensitive, efficient, and environmentally friendly when applied to soil samples. To our knowledge, an integrated approach based on QuEChERS for the determination of Aroclor 1254 in soil has not been published before. It is believed that this approach will eliminate the significant challenge of sample extraction in GC-MS processing, which was considered to be a procedural challenge in previous analyses.

A fast two-level grid index algorithm for common edge extraction in vector data compression

ABSTRACT In this paper, a fast common edge extraction method based on a two-level grid indexing strategy was proposed for eliminating the common edge ‘cracks’. A coarse-grained first-level grid index was firstly built which maps each polygon with its intersecting polygons in the graphics set; secondly, a fine-grained second-level grid index is established linking each grid cell with the vertices falling into the cell, which can be used to quickly find the common points shared by intersecting polygons. The common edge ‘cracks’ problem can be solved if the deleted common points are consistent on two adjacent graphics during compression.

Novel Liquid Chromatography–Tandem Mass Spectrometry Method for Analysis of 102 Pesticides and Five Mycotoxins Regulated by the State of Colorado in Dried Hemp

A novel liquid chromatography–tandem mass spectrometry (LC–MS/MS) method with a dual electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) source was developed for analyzing 102 pesticides and five mycotoxins that are regulated by the state of Colorado in hemp. The limit of quantitation (LOQ) of the 102 pesticides and five mycotoxins met Colorado state action limit requirements for these analytes in a hemp matrix. For this study, 88 out of 102 pesticides and all five mycotoxins were analyzed using LC–MS/MS with an ESI source, whereas the remaining 14 pesticides were determined using LC–MS/MS with an APCI source. A simple, fast, green, and cheap acetonitrile solvent extraction method was used to extract the pesticides and mycotoxins from the hemp matrix with good extraction efficiency in the range of 80–120%. A hemp matrix is challenging and causes matrix effects such as ion suppression or enhancement. We optimized the LC method and added 30 internal standards to reduce and compensate for these matrix effects to obtain method accuracy in the range of 70–120%. The ionization mechanism of nonpolar pesticides (normally analyzed by gas chromatography–tandem mass spectrometry [GC–MS/MS]) with an APCI ion source was elucidated.

Multi-component induction logging detection characteristics of the fracture azimuth and dip angles and the fast extraction methods of fracture distribution parameters

In the field of log interpretation of tight sandstone and shale reservoirs, it is difficult to quantitatively evaluate the fracture distribution parameters (fracture azimuth angle and fracture dip angle) near the borehole. Multi-component induction logging can measure the apparent resistivities of the reservoir in different directions by an orthogonal coil system, which lays a foundation for the quantitative evaluation of the fracture distribution parameters near the borehole. First, we derive the finite element equations for numerical calculation from the Maxwell equations for the time-harmonic field and construct a three-dimensional (3D) vector finite element numerical algorithm for the fractured formation. Second, we quantitatively analyze the multi-component induction logging detection characteristics of the fracture azimuth and dip angles. Third, we establish a fast extraction method of the fracture azimuth angle based on coordinate system rotation and an analytical calculation method of the fracture dip angle using the combination of cross components and coplanar components of multi-component induction logging. Finally, we use field data to test the fracture distribution parameter extraction method, and the fracture dip and azimuth angles calculated by multi-component induction logging are consistent with those calculated by borehole imaging logging, which realizes the fast extraction of the distribution parameters of fractures in tight sandstone and shale reservoirs.

Reduced Graphene Oxide Aerogels Cartridges for Solid Phase Extraction of Benzotriazoles

UV-benzotriazoles have been identified as water micropollutants that cause serious problems for human health and the environment. Their low concentration in water bodies complicates their detection by direct water analysis, slowing the corrective actions to avoid bioaccumulation. In this regard, the use of graphene-based materials with a high affinity for non-polar molecules has been demonstrated to be a potential tool for the optimal separation and concentration of this type of molecules in solid phase extraction (SPE) processes. This work evaluates the potential of novel reduced graphene oxide aerogels (rGO) as extractants of mixtures of three UV-benzotriazoles in water at low concentrations. These rGO aerogels incorporate graphenic domains into a tough structure of polymeric chains by adding graphene oxide during the synthesis of resorcinol-formaldehyde gels. Aerogels with a different content and ordering of graphenic domains were obtained and characterized using Raman, XRD, SEM and nitrogen adsorption isotherms (-196 °C). The rGO aerogels that performed better as solid phase extractants were those containing 60% rGO. Aerogels with lower rGO contents (40%) required a high-temperature (2000 °C) treatment to render competitive results. The SPE methodology using selected rGO aerogels was optimized by varying the elution solvent, elution time and volume. The best performances, i.e., recoveries of 80-100% and enrichment factors of 12.5-50, were accomplished when using 0.8 mL of tetrahydrofuran (THF) as an elution solvent. As a result, a fast (10 min) and simple extraction method of UV-benzotriazoles in water was attained, achieving a detection limit of 1 ng mL-1. Selected aerogels were finally tested for the SPE of spiked samples of river waters, showing a similar performance to that observed with synthetic mixtures.

Preconcentration of Phenylalanine in Cheese and Yoghurt Using Deep Eutectic Solvent and Determination by HPLC Technique

Background: In the current research, a green, fast and cheap extraction method based on deep eutectic solvent was developed for the preconcentration of phenylalanine. Then, high performance liquid chromatography (HPLC) as a sensitive and accurate technique was used to determine amounts of preconcentrated phenylalanine. Objective: The combination of the HPLC technique and extraction procedure using deep eutectic solvent makes it possible to find a good procedure for the preconcentration of phenylalanine in different media with acceptable precision and accuracy. Methods: Decanoic acid and tetrabuthylammonium bromide were used as the components of the green solvent. Then, the synthesized green solvent was used for the preconcentration of phenylalanine. HPLC equipped with a UV-VIS detector, a C18 column, a mixture of sodium dihydrogen phosphate 2-hydrate (20 mM, pH 6.60)-ACN (70-30%) as the mobile phase, and the wavelength of 245 nm were selected as the best separation. Results: The chief characteristic of deep eutectic solvent was identified using Fourier transform infrared spectroscopy. Central composite design to evaluate the effects of preconcentration parameters showed that the pH value of 6.31, salt concentration of 0.272 M, DES volume of 226 μL, and stirrer time of 5.60 min were suggested as the best conditions of separation. Total analysis time was 5.50 min. Conclusion: Validation of designed analysis exposed good linearity (0.015-1.50 μg/mL), suitable sensitivity, excellent preconcentration (32.50) and enrichment (21.15) factors, acceptable relative standard deviation (3.07%), and low amounts of detection limit (0.015 μg/mL). Finally, the designed method was effectively used for the determination of phenylalanine in cheese and yoghurt with relative recoveries of 113.33 to 125.00% and 94.00 to 100.00%, respectively.

Deep Learning Method Based on Spectral Characteristic Rein-Forcement for the Extraction of Winter Wheat Planting Area in Complex Agricultural Landscapes

Winter wheat is one of the most important food crops in the world. Remote sensing technology can be used to obtain the spatial distribution and planting area of winter wheat in a timely and accurate manner, which is of great significance for agricultural management. Influenced by the growth conditions of winter wheat, the planting structures of the northern and southern regions differ significantly. Therefore, in this study, the spectral and phenological characteristics of winter wheat were analyzed in detail, and four red-edge vegetation indices (NDVI, NDRE, SRre, and CIred-edge) were included after band analysis to enhance the ability of the characteristics to extract winter wheat. These indices were combined with a deep convolutional neural network (CNN) model to achieve intelligent extraction of the winter wheat planting area in a countable number of complex agricultural landscapes. Using this method, GF-6 WFV and Sentinel-2A remote sensing data were used to obtain full coverage of the region to evaluate the geographical environment differences. This spectral characteristic enhancement method combined with a CNN could extract the winter wheat data well for both data sources, with average overall accuracies of 94.01 and 93.03%, respectively. This study proposes a method for fast and accurate extraction of winter wheat in complex agricultural landscapes that can provide decision support for national and local intelligent agricultural construction. Thus, our study has important application value and practical significance.

An efficient, fast and inexpensive method for genomic DNA extraction of fish tissue.

DNA extraction is an essential step for many genetic techniques like PCR and other molecular analyses. Based on the method of extraction and type of tissue used, the quality of extracted DNA for genetic studies varies. An appropriate extraction method is evaluated by the high concentration and purity of DNA. Thus, this study aimed to find a more efficient and effective method of DNA extraction from fish tissues and compare it to commercially available kits. A total of 200 fish tissue samples were extracted using each method and then validated with restriction enzymes and PCR amplification. The result revealed that the mean quantity of the isolated genomic DNA, when measured by Nanodrop for grass and common carp, was estimated at (624.41 ± 34.51) µg/ml and (651.27 ± 46.31) µg/ml, respectively, and the purity of this DNA was about (1.83 ± 0.04) and (1.88 ± 0.03) respectively, as compared to commercial extraction kits. Furthermore, gel electrophoresis was performed on the PCR-ready DNA, and the results were confirmed with restriction enzymes and PCR amplification. Based on results obtained from restriction enzymes and PCR analysis, it was determined that no significant inhibitors existed for the enzymes that were used in molecular biology reactions. As a result, this technique provides an efficient and versatile alternative to the traditional method for obtaining bulk amounts of highly qualified DNA from fish tissue and can be easily used for subsequent analyses such as PCR and several molecular experiments on other fish species.

A Simple and Fast Extraction Method (Safem) for Simultaneous Determination of 98 Current-Use Pesticides in Soil and Herbaceous Vegetation Using Hplc-Esi-Ms/Ms

A Simple and Fast Extraction Method (Safem) for Simultaneous Determination of 98 Current-Use Pesticides in Soil and Herbaceous Vegetation Using Hplc-Esi-Ms/Ms

A fast and simple extraction method for analysing levoglucosan and its isomers in sediments by ion chromatography tandem mass spectrometry.

The ability to trace current and past biomass burning events is important for understanding the links between human activity, fire frequency, and climate. One method of tracing biomass burning is to measure the concentrations of certain monosaccharides anhydrides (MAs), specifically levoglucosan (LEV) and its isomers, mannosan (MAN) and galactosan (GAL), which are products of cellulose and hemicellulose pyrolysis. This work presents a simple extraction method allowing for the rapid, sensitive, and selective determination of MAs in sediments. MAs detection was performed using suppressed ion chromatography with electrospray - triple-stage quadrupole tandem mass spectrometry (IC-TSQ-MS). The extraction method involves ultrasound probe sonication using water as the solvent. Extraction time, amplitude, and sonication mode were optimised. Recoveries higher than 86% for all MAs tested were achieved by applying 70% amplitude in continuous mode for 60 s. Analytical performance of the method included instrumental LODs of 0.10, 0.12 and 0.50 μg L-1 for LEV, MAN and GAL, respectively. No carryover issues, no matrix effect and no co-elution of targeted MAs with other sugars likely present in sediments samples were observed. The developed extraction method was further validated by the analysis of LEV and MAN in NIST® 1649b urban dust reference material and the resulting concentrations were in excellent agreement with previously reported values. MAs quantification in 70 lake sediment samples were carried out with concentrations found to range from 0.009 to 0.390 μg g-1 for LEV and from 0.009 to 0.194 μg g-1 for MAN. Plotting MAs concentrations versus approximate sediment age allowed the reconstruction of recent fire events impacting two locations in the Central Highlands of Tasmania, Australia.