Extraction System Research Articles

Mastering Snow Analysis: Enhancing Sampling Techniques and Introducing ACF Extraction Method with Applications in Svalbard.

Semi-volatile organic contaminants (SVOCs) are known for their tendency to evaporate from source regions and undergo atmospheric transport to distant areas. Cold condensation intensifies dry deposition, particle deposition, and scavenging by snow and rain, allowing SVOCs to move from the atmosphere into terrestrial and aquatic ecosystems in alpine and polar regions. However, no standardized methods exist for the sampling, laboratory processing, and instrumental analysis of persistent organic pollutants (POPs) in snow. The lack of reference methods makes these steps highly variable and prone to errors. This study critically reviews the existing literature to highlight the key challenges in the sampling phase, aiming to develop a reliable, consistent, and easily reproducible technique. The goal is to simplify this crucial step of the analysis, allowing data to be shared more effectively through standardized methods, minimizing errors. Additionally, an innovative method for laboratory processing is introduced, which uses activated carbon fibers (ACFs) as adsorbents, streamlining the analysis process. The extraction method is applied to analyze polychlorobiphenyls (PCBs) and chlorinated pesticides (α-HCH, γ-HCH, p,p'-DDE, o,p'-DDT, HCB, and PeCB). The entire procedure, from sampling to instrumental analysis, is subsequently tested on snow samples collected on the Svalbard Islands. To validate the efficiency of the new extraction system, quality control measures based on the EPA methods 1668B and 1699 for aqueous methods are employed. This study presents a new, reliable method that covers both sampling and lab analysis, tailored for detecting POPs in snow.

Bidirectional Photovoltage-Driven Oxide Transistors for Neuromorphic Visual Sensors.

Biological vision is one of the most important parts of the human perception system. However, emulating biological visuals is challenging because it requires complementary photoexcitation and photoinhibition. Here, the study presents a bidirectional photovoltage-driven neuromorphic visual sensor (BPNVS) that is constructed by monolithically integrating two perovskite solar cells (PSCs) with dual-gate ion-gel-gated oxide transistors. PSCs act as photoreceptors, converting external visual stimuli into electrical signals, whereas oxide transistors generate neuromorphic signal outputs that can be adjusted to produce positive and negative photoresponses. This device mimics the human vision system's ability to recognize colored and color-mixed patterns. The device achieves a static color recognition accuracy of 96% by utilizing the reservoir computing system for feature extraction. The BPNVS mem-reservoir chip is also proposed for handing object movement and dynamic color recognition. This work is a significant step forward in neuromorphic sensing and complex pattern recognition.

Recovery and partial isolation of ⍺-mangostin from mangosteen pericarpsvia sequential extraction and precipitation.

This study introduced an innovative sequential extraction methodology designed for the efficient recovery of alpha-mangostin (⍺-M) from mangosteen pericarps. Alpha-mangostin, renowned for its pharmacological properties including anti-inflammatory, anti-cancer, and anti-bacterial effects, has garnered significant attention across diverse industries. The proposed method of sequential extraction achieved 73% recovery and a yield of 46.75 mg/g based on the weight/weight percentage of the mass of ⍺-M extracted from the sequence and the mass of raw material. Furthermore, the purity of the dried product was 67.9%. The sequence solvent extraction system, comprising water, hexane, and acetonitrile, plays a pivotal role in enhancing the efficacy of the extraction process. Notably, this methodology offers a cost-effective alternative to conventional extraction methods. It reduces the need for complex equipment and processes, positioning it as a resource-efficient extraction technique in comparison to existing methodologies. This novel sequential extraction method presents a promising avenue for the economical and sustainable recovery of alpha-mangostin (⍺-M) from pericarps.

Boronate affinity metal–organic frameworks molecularly imprinted membranes with hierarchical porous channels for the selective separation of naringin

Naringin (NRG), known as an important natural flavoniod compounds, exhibits excellent phamaceutical value and clinical application prospect. However, the main obstacle to the isolation and purification of NRG is the low concentration and complexity of the extraction system. Herein, a new kind of hierarchical porous metal–organic frameworks (MOFs) based molecularly imprinted membranes (PBMMA-MIMs) for the specific separation of NRG. The prepared PBMMA-MIMs showed the fast adsorption kinetics (within 120 min). Moreover, the abundant boronic acid imprinted recognition sits and hydrophilic hierarchical porous MOFs improved the adsorption capacity (the maximum adsorption amounts 57.39 μmol/g) and exhibited selective NRG adsorption (imprinting factor 2.31) with efficiency over 91.69 % after seven adsorption–desorption cycles. In addition, the coarse NRG could be effectively extracted to a promising purity of 93.13 % via PBMMA-MIMs. This study provides new insights into the design molecularly imprinted membranes via environmentally friendly synthesis route for the preparation for enriching high-value flavoniods, achieving efficient purification rate of agricultural wastes for pollution control, and promoting the sustainable reuse in complex agricultural wastewater.

Extraction of molybdenum, cobalt, and nickel from acidic leach solution of molybdenum leach residue of spent hydrodesulfurization catalyst

ABSTRACT After the extraction of molybdenum from the spent HDS catalyst, a residue containing aluminum, nickel, cobalt, and a small amount of molybdenum was obtained. The simultaneous recovery of nickel, cobalt, aluminum, and residual molybdenum from molybdenum leach residue can be achieved through hydrochloric acid leaching. In the work presented herein, the extraction of molybdenum, cobalt, and nickel from the acidic leach solution of molybdenum leach residue was investigated. Trioctyl tertiary amine can selectively extract cobalt and molybdenum from the acidic leach solution, the extraction of both cobalt and molybdenum reached more than 99% after two-stage countercurrent extraction. The combination of pure water and 25% ammonia water can be utilised for the separation and extraction of cobalt and molybdenum from the loaded cobalt-molybdenum organic phase. After the extraction of cobalt and molybdenum, a synergistic extraction system comprising decyl 4-picolinate and dinonylnaphthalene sulfonic acid can be employed for nickel extraction, achieving a nickel extraction exceeding 99.70% while maintaining aluminum extraction at only 0.32% after undergoing four-stage countercurrent extraction. The nickel stripping efficiency can reach 99.50% after four-stage countercurrent stripping, using a stripping agent of 2 mol/L H2SO4.

Analysis of Volatile Organic Compound Emissions in 3D Printing: Implications for Indoor Air Quality

This study provides a comprehensive analysis of volatile organic compound (VOC) emissions in the context of 3D printing, a rapidly advancing technology that is transforming manufacturing processes. As the adoption of 3D printing grows, concerns regarding its potential impact on indoor air quality have emerged. This research addresses these concerns by investigating the risks associated with VOC emissions and proposing effective mitigation strategies. Using a robust methodology, filament and resin-based 3D printers were employed alongside VOC sampling equipment (Tenax tubes and personal pumps) to assess emissions. A detailed analysis of 49 VOCs revealed variable concentrations across different printing materials, with ethyl acetate being the dominant compound in resin printing and decanal in filament printing. While individual VOC levels were below 1% of occupational exposure limits, total VOC concentrations frequently exceeded the recommended indoor threshold of 200 µg/m3, particularly in resin-based processes. This raises concerns about the combined effects of multiple VOCs, some of which are known carcinogens. These findings underscore the need for further investigation into the cumulative health impacts of prolonged exposure to multiple VOCs. The study also emphasises the importance of accounting for both facility-specific conditions and material emissions to fully understand the environmental and health consequences of 3D printing. Preventative measures, such as enclosing 3D printers and equipping them with extraction systems, are recommended to safeguard user health.

Design, development and test of single beamlet microwave ion source with spot-dense plasma system

In this paper, an efficient ion source with unique characteristics is introduced and proposed. It outlines the generation of a spot-dense plasma just below the plasma electrode aperture of the extractor system through the utilization of a 2.45 GHz microwave plasma source with a power of 1000 W, in the absence of a magnetic field. This source utilizes a 2.45 GHz microwave plasma generator operating at 1000 W, resulting in the generation of a spot-dense plasma just below the plasma electrode aperture of the extractor system, all achieved without the need for a magnetic field.The spot-dense plasma results in the extraction of an ion beam with high current density. Furthermore, the suggested ion source can be utilized in a smaller size using a higher frequency. Therefore, our findings indicate that the proposed method not only substantially enhances the extracted positive ion beam current but also significantly reduces the size of the ion beam source system. Based on the design and simulation results, an experimental model of the ion beam source is constructed. The diagnostic tools provided the beam current density and system efficiency values of 99mA/cm2 and 7×10−6A/W, respectively.

Mechanistic insights into lipid extraction from wet microalgae using hydrophobic deep eutectic solvents under hydrothermal conditions

Hydrophobic deep eutectic solvents (HDESs) were first employed under hydrothermal conditions to form a two-phase system for instantaneous and efficient lipid extraction from wet microalgae, preventing lipid degradation and avoiding the use of toxic solvents. Ten HDESs were assessed for their efficiency and selectivity in lipid extraction. Among them, OCT-DEC, composed of octanoic acid and decanoic acid, achieved the highest extraction efficiency at 95.42 %, while also preventing the co-extraction of proteins and reducing sugars. Molecular dynamics simulations revealed that lipid extraction efficiency is primarily influenced by lipid-HDES interactions, which drive lipid diffusion, and the interfacial properties of the two-phase hydrothermal system, which resist lipid diffusion. The superior performance of OCT-DEC is attributed to its high hydrogen bond density and short bond lifetimes, which, combined with its structural stability, synergistically reduce resistance to lipid diffusion at the interface. Additionally, OCT-DEC significantly enhances the thermal stability of unsaturated fatty acids, such as C20:5, effectively preventing the degradation of high-value lipids and highlighting its potential for hydrothermal extraction of these valuable compounds.

A comprehensive review on performance-based comparative analysis, categorization, classification and mapping of text extraction system techniques for images

A comprehensive review on performance-based comparative analysis, categorization, classification and mapping of text extraction system techniques for images

Fire Safety Assessment of a Typical Sports Hall Building Based on Fire Dynamics and Crowd Movement Models

Fire risk analysis is one of the essential components of building design to ensure the safety of occupants and properties in case of fires. Currently, the Ministry of Public Works and Housing Regulation No. 20/PRT/M/2009 provides guidelines for conducting a fire risk analysis, however, without a clear consideration of fire dynamics in the estimation of the fire risk level. In this work, we investigate the fire safety aspects of a typical sports hall buildings by a fire dynamics deterministic model (Fire Dynamics Simulator (FDS) of the National Institute of Science and Technology, USA) and crowd movement model for occupant evacuation (Pathfinder of Thunderhead Engineering). Systematic investigations were made on the effects of the fire growth category and smoke extraction system on the Available Safe Egress Time (ASET). The results of ASET were then compared to the Required Safe Egress Time (RSET) which is obtained from the evacuation model. Our results suggest that ASET decreases exponentially with fire growth rate, especially from slow to medium growth rate. The fire growth rate significantly affects the acceptable fire risk of ASET longer than RSET. Occupant capacity, fire management systems, and smoke extraction systems play important roles in reducing fire risk. However, as the fire growth rate increases, the effects of smoke extraction in maintaining safe conditions diminish. This study provides recommendations to reduce risks to the occupants in case of fire, contributing to the considerations of the design and management of a typical sports hall building.

CLASSIFICATION OF COLORECTAL CANCER PATIENTS BASED ON SERUM MICRONUTRIENTS: AN EXPLORATORY INVESTIGATION

Abstract Introduction/Objective Colorectal cancer (CRC) is a growing global health challenge with a multifactorial etiology encompassing genetic susceptibility, nutrition, and inflammation in the bowel. To examine micronutrient status in CRC patients undergoing CRC resection. Methods/Case Report We performed a pilot case-control study including 13 consecutive CRC patients and 10 healthy controls (CTRL) comparing the serum levels of 29 micronutrients, namely Copper, Zinc, Selenium, Chromium, Manganese, Carnitine, Choline, Inositol, Methylmalonic acid (MMA), Vitamin (Vit) B1, Vit B2, Vit B3, Vit B5, Vit B6, Vit C, Vit A, Vit D3, Vit E, Vit K1, Vit K2 and the amino acids Serine, Valine, Leucine, Isoleucine, Asparagine, Glutamine, Arginine, Citrulline and Cysteine. The analysis of trace metals (copper, zinc, selenium, chromium, manganese) in serum was done using the Inductively coupled plasma mass spectrometry (ICP-MS) methodology using the Agilent 8900 QQQ instrument. The analysis of serum water-soluble and fat-soluble vitamins and amino acids was conducted using the LC/MS (Xevo-TQ-XS) mass spectrometer (WBA0127). Elution of the fat-soluble vitamins was performed using a solid-phase extraction system with an OASIS Prime HLB plate containing 10 mg of sorbent per well, in a Waters vacuum manifold equipped with a waste collection plate. Comparison among continuous biological variables was carried out by multivariate ANOVA model (MANOVA), accounting for the effect of sex and age Results (if a Case Study enter NA) After considering the effect of age and sex, copper, arginine, and cysteine were increased, while zinc, selenium, chromium, Vit B1, Vit K1, and Vit A were decreased in CRC patients in comparison with CTRL. Zinc levels perfectly predicted the diagnosis of CRC, and was associated with lymph nodes (pN), of the pTNM staging. Copper levels in serum was strongly associated with the pathological pTNM staging of CRC. Conclusion Though this is a preliminary study which needs confirmation with a larger longitudinal cohort, our results show that serum micronutrients are linked to tumor growth, likely caused by increased demand from tumor tissue associated with an aberrant cell proliferation and changes in the antioxidant function.

Assessment of a system for gait parameter extraction and individual feature classification using artificial neural networks and a low-cost accelerometer

Abstract A system designed for monitoring the footsteps of a person is presented, aimed at determining characteristic and statistical parameters of the individual’s gait. This non-invasive approach utilizes a low-cost commercial capacitive accelerometer to sense the vibrations caused by each step as an individual walks on the floor. The system captures signals from the accelerometer, which are then processed to obtain different signal parameters (such as step duration, cadence, stride duration, kurtosis, skewness, etc), providing information about each subject under study. The collected information is stored in a database, and artificial neural networks are employed in this report to classify types or styles of walking, as well as to identify the person’s gender, age, and body mass index. With the implementation of classifiers, physical characteristics can be grouped, potentially focusing on diagnoses or identifications based on specific data. Finally, the results obtained from tests performed on 30 volunteers are presented, verifying the accelerometer’s performance and the algorithm’s effectiveness, with accuracy percentages up to 99.2% for classification. The results show a high level of coincidence and are promising for the future improvement of the system.

A Multi-View Real-Time Approach for Rapid Point Cloud Acquisition and Reconstruction in Goats

The body size, shape, weight, and scoring of goats are crucial indicators for assessing their growth, health, and meat production. The application of computer vision technology to measure these parameters is becoming increasingly prevalent. However, in real farm environments, obstacles, such as fences, ground conditions, and dust, pose significant challenges for obtaining accurate goat point cloud data. These obstacles lead to difficulties in rapid data extraction and result in incomplete reconstructions, causing substantial measurement errors. To address these challenges, we developed a system for real-time, non-contact acquisition, extraction, and reconstruction of goat point clouds using three depth cameras. The system operates in a scenario where goats walk naturally through a designated channel, and bidirectional distributed triggering logic is employed to ensure real-time acquisition of the point cloud. We also designed a noise recognition and filtering method tailored to handle complex environmental interferences found on farms, enabling automatic extraction of the goat point cloud. Furthermore, a distributed point cloud completion algorithm was developed to reconstruct missing sections of the goat point cloud caused by unavoidable factors such as railings and dust. Measurements of body height, body slant length, and chest circumference were calculated separately with deviation of no more than 25 mm and an average error of 3.1%. The system processes each goat in an average time of 3–5 s. This method provides rapid and accurate extraction and complementary reconstruction of 3D point clouds of goats in motion on real farms, without human intervention. It offers a valuable technological solution for non-contact monitoring and evaluation of goat body size, weight, shape, and appearance.

A novel strategy for water content analysis in (B12C4/B15C5/B18C6-[EMIm][NTf2])-LiNTf2 extraction system: Quantitative calculation and theoretical study

The metal ion extraction processis usually accompaniedby the removal of coordinated water molecules and the change of water content in the extraction phase. However, hierarchical methodologies on water researchare incredibly sparse, restricting a thorough knowledge of the extraction mechanism.It was clarified the diversity of water occurrence forms in the extraction phase and quantitative relationship between water, Li+ and crown ether based on the (B12C4/B15C5/B18C6-[EMIm][NTf2])-LiNTf2 solvent extraction system. While the complexation mechanism between hydrated Li+ and crown ether was discussed carefully. Firstly, it demonstrated that the water content of the extraction phase: B18C6 > B15C5 > B12C4. Secondly,the water in the extraction phase is mainly collected by solvent and crown ether, with the latter catching water primarily via Li+ coordination and weak interactions. In the end, focusing on the water captured by the crown ether through Li+ coordination, slope analysis and DFT calculations found that Li (H2O)4+ was removed three water molecules to complex with B12C4 or B15C5, whereas B18C6 tends to remove two water molecules. It is precious for a thorough grasp of the mechanism and procedure of Li+ extraction by crown ethers. What’s more, it offers novel strategies for investigating water content and transfer mechanisms in extraction systems.

Separation and production of metallic magnesium from salt lake brine by extraction-electrodeposition technology

The conventional methods of producing metallic magnesium involve high temperatures, high pollution, and high energy consumption. Herein, the separation and production of metallic magnesium from salt lake brine was carried out using an environmentally friendly extraction-electrodeposition method. 16 functional ionic liquids, consisting of four saponified anions and four quaternary ammonium salt cations, were synthesized and employed as both extractants and supporting electrolytes. The study showed that the compound [A336][V10], which was produced using methyltrioctylammonium ([A336]+) and saponified neodecanoic acid ([V10]−), exhibited a significant extraction rate of Mg2+ and electrical conductivity in methyl isobutyl ketone (MIBK). The extraction efficiency for Mg2+ with a concentration of 54.04 g·L−1 was found to be 60.98%. After extraction, the electrical conductivity of the organic phase was measured to be 649 μS·cm−1. The extraction mechanism and phase equilibria showed that the organic system exhibited limited solubility with the aqueous phase, and the Mg2+ in the brine was extracted by [A336][V10] in the form of MgCl2·2[A336][V10] through monodentate coordination with the carboxyl group in [V10]−. Following extraction, metallic magnesium was successfully electrodeposited from the organic phase. This is the first time that metallic magnesium was directly produced from a common extraction system at room temperature. This method avoids both the dehydration of MgCl2·6H2O and the melting of anhydrous MgCl2 at high temperatures, which are typically encountered in the traditional procedure of producing metallic magnesium from brines, and it offers a new strategy for metallic magnesium production with low energy consumption.

Quantifying allergenic proteins using antibody-based methods or liquid chromatography-mass spectrometry/mass spectrometry: A review about the influence of food matrix, extraction, and sample preparation.

Accurate quantification of allergens in food is crucial for ensuring consumer safety. Pretreatment steps directly affect accuracy and efficiency of allergen quantification. We systematically reviewed the latest advances in pretreatment steps for antibody-based methods and liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) protein quantification methods in food. For antibody-based methods, the effects induced by food matrix like decreased allergen solubility, epitope masking, and nonspecific binding are of the upmost importance. To mitigate interference from the matrix, effective and proper extraction can be used to obtain the target allergens with a high protein concentration and necessary epitope exposure. Removal of interfering substances, extraction systems (buffers and additives), assistive technologies, and commercial kits were discussed. About LC-MS/MS quantification, the preparation of the target peptides is the crucial step that significantly affects the efficiency and results obtained from the MS detector. The advantages and limitations of each method for pre-purification, enzymatic digestion, and peptide desalting were compared. Additionally, the application characteristics of microfluidic-based pretreatment devices were illustrated to improve the convenience and efficiency of quantification. A promising research direction is the targeted development of pretreatment methods for complex food matrices, such as lipid-based and carbohydrate-based matrices.

Radiation Monitoring for Volatilized Zinc Contamination Using Gamma-Ray Imaging and Spectroscopy

Abstract Gamma-ray imaging is a tool that has grown in importance in the applications of non-destructive assay (NDA) for radioactive survey and analysis of nuclear facilities. Imaging techniques have shown great promise in providing valuable information involving radioactive waste management and contamination prevention. For the application studied in this work, 65Zn has been identified as a radioactive contaminant during tritium extraction. Due to the volatile nature of 65Zn under the pressure and temperature changes during extraction operations, 65Zn can easily travel through components of the extraction system as vapor, making it difficult to trap. Previous research involving the development of a filtration system showed that the 65Zn can be trapped, mitigating product contamination. However, during the extraction process, direct analysis of the equipment to confirm that zinc contamination is trapped in the filter and has not spread to other components is impractical. In this situation, the need to assay the location of the contamination with little-to-no interference with operations is vital. In this work, we demonstrate the use of a commercialized 3D position-sensitive CdZnTe (CZT) gamma-ray imaging spectrometer to provide analysis of the 65Zn contamination. Onsite measurements during an extraction process are studied to assess the location and migration of the 65Zn. The results obtained from real-time glovebox monitoring demonstrate the feasibility of gamma-ray imaging for localizing the contamination and providing a preliminary qualitative assessment that is intended to be used in future work quantifying the contamination build-up and activity over time.

A novel trialkyl phosphate – Ionic liquid mixture for an efficient separation of Lithium ion from its acidic feed solution

Separation of Lithium ion (Li+) using conventional non-crown type ligands through solvent extraction process is a challenging task and can only be feasible by tuning the organic phase with an additional polar environment. In this context, we have projected an extracting system containing a traditional trialkyl phosphate (T(alk)P): Tri-iso-amyl phosphate (TiAP) containing a minimal amount of ionic liquid (IL): [C4mpip][NTf2] (1-butyl-1-methylpiperidinium bis(trifluoromethanesulfonyl)imide) for the efficient extraction and separation of Li+ from its hydrochloric acid feed. The extraction performances pertaining various experimental parameters were realized to explore the solvent potentiality of TiAP/[C4mpip][NTf2] towards Li+ coordination. Involvement of two ligand molecules in extraction in presence of 10 % (v/v) IL diluent offers fast extraction kinetics and turns the extraction mechanism into a cation exchange pathway, which was further examined by using different classes of ILs in conjunction with TiAP for Li+ uptake. The selectivity of Li+ over other alkali (or alkaline earth) metal ions was investigated to highlight the affinity of the proposed IL system towards Li+. Extraction scenario in TiAP phase was compared with that in TBP phase containing same IL to bring out the efficacy of the proposed IL system. The stripping performance of Li+ from the loaded organic phase was studied using an acid solution to establish the sustainability of the proposed extraction process.

Olive mill wastewater as a source of defense-promoting by-products against microbial pathogens

Olive oil is a core component of the Mediterranean diet known for its nutritional properties and health benefits. Olive industry is moving to novel extraction systems for higher oil yield and quality and for waste reduction, which is a relevant problem in the process due to its toxicity and high disposal costs. Multi-Phase Decanter (DMF) is a modern two-phase system performed without adding water during the process. Using DMF, a wet by-product indicated as pâté and consisting of the fruit pulp and vegetation water (VW) is recovered. The pâté has a high content of potentially bioactive molecules that may be exploited to promote plant resistance against microbial pathogens. In this work, to identify by/products of biological interest, the VW recovered from the pâté by centrifugation was subjected to fractionation by tangential-flow membrane filtration (TFMF), combining microfiltration (MF) and ultrafiltration (UF). High-resolution NMR spectroscopy indicated the presence of bioactive molecules such as flavonoids, hydroxytyrosol and oleuropein with known antimicrobial activity. High-Performance Anion Exchange Chromatography with Pulsed Amperometric Detection (HPAEC-PAD) was performed to detect the presence of pectic oligosaccharides in the fractions, showing the enrichment, in the UF-concentrate fraction, of oligogalacturonides (OGs), well known for the ability to elicit defense responses and protect plants against pathogen infections. Arabidopsis thaliana plants treated with TFMF fractions displayed induction of defense responses and exhibited tolerance against microbial pathogens without adverse effects on growth and fitness. This study shows that pâté by-products can potentially be exploited in agriculture as sustainable plant phyto-protectant.

B-216 Ethanol/isopropanol-free and enzyme-free universal nucleic acid extraction and purification system for fast molecular detection from swab samples

Abstract Background Efficient nucleic acid (NA) extraction has been made technology advancement in molecular science. However, there are several challenges yet to address. Firstly, ethanol or isopropanol are important components of the buffers for the most commercially available NA extraction kits. When put on cartridge for POC applications, they can react with plastic materials, undermining their mechanical/physiochemical properties. They can also be problematic due to their volatility, flammability and potential to leak. Secondly, turn-around time for most commercial kits is long and procedure is rather tedious. Thirdly, most of the extraction buffers can only be used to extract either DNA or RNA from either viruses or bacteria. A universal buffer system is lacking. Lastly, special components in some extraction buffers require -20°C or 4°C storage for desired performance, especially for those kits containing proteinase for cell lysis and nuclease denaturation and carrier NA for low quantity of template, causing inconvenience in shipping and storage. Delta developed buffers and associated protocol to address the challenges listed above. This study is to evaluate the performance of the Delta TNA buffer system in NA extraction and purification from various target pathogens in swab samples when compared to that of the leading commercial products. Methods The stock strains of staphylococcus aureus, pseudomonas aeruginosa and H-coronavirus OC43 were diluted in Delta Molecular Transport Media containing swab sample matrix to the testing concentrations before performing NA extraction. Vircell SARS-CoV-2 RNA was spiked directly into PCR reactions to generate a standard curve with 10x serial dilutions for the recovery rate test using Delta TNA kit. 300ul of samples were used for the NA extraction and purification with 80 ul eluate generated. The manufacturers’ instructions were followed. The extracted RNA or DNA was amplified on BioRAD CFX96. Results The extraction efficiency on RNA from H-coronavirus OC43, DNA from pseudomonas aeruginosa and staphylococcus aureus in swab samples, was compared with Katsura Respi and MN Pathogen kits, Qiagen DNA and viral RNA kits respectively. Delta TNA kit outperformed in either earlier Cq value or higher detection rate for different concentrations of analytes in <10 min comparing to up to 95 min for the commercial kits tested. The RNA recovery rate of Delta TNA kit was comparable to that of the Qiagen Viral Kit with 37.54% vs 29.84% at 10 copies/rxn, 146.84% vs 140.76% at 100 cpies/rxn and 118.29% vs 111.76% at 1000 copies/rxn. Meanwhile, Delta Swab TNA buffer was compatible with large spectrum of magnetic beads possessing various coating groups and particle sizes. Conclusions We provided a stable, user- and environment-friendly total nucleic acid extraction and purification system which is ethanol/isopropanol-free and enzyme-free. There is no pre-treatment or drying steps in the protocol and no centrifugation required. Delta’s protocol has the least total number of steps and least amount of total time taken amongst the kits compared. It serves as a universal recipe for both DNA and RNA from pathogens in swab samples including viruses and bacteria in less than 10 min, with competitive performance in both PCR and LAMP.