Short Extraction Research Articles

Infrared Laser-Assisted Extraction of Bioactive Compounds from Rosa canina L.

The extraction of bio-compounds from medicinal plants provides opportunities for using the plant extract for health benefits. Rosa canina L. is considered a “natural superfood”, and the valorization of its active compounds requires an extraction technique that ensures a suitable extraction yield while preserving the compounds’ activity. In our study, infrared laser irradiation (IRLIR) technology was used for the first time in the bioactive compound’s extraction from Rosa canina L. Different solvents (water–ethanol, hexane–ethanol) and different extraction times were tested to obtain a high extraction yield. Chromatographic and spectrophotometry methods were used to monitor the profile of bioactive compounds and the antioxidant activity of the extracts. The results obtained for IRLIR were compared with those obtained by accelerated solvent extraction (ASE), an advanced extraction method. The IRLIR technology proved to be a more reliable analytical tool for the extraction of (+)-catechin, gallic acid, and lutein. In addition, a richer extract formula was obtained by IRLIR extraction with respect to ASE, with the IRLIR process ensuring a short extraction time, low volume of the extraction solvent, low energy consumption, and a less expensive device.

Improved robustness of sequentially deposited potassium cesium antimonide photocathodes achieved by increasing the potassium content towards theoretical stoichiometry

Alkali antimonide semiconductor photocathodes are promising candidates for high-brightness electron sources for advanced accelerators, including free-electron lasers (FEL), due to their high quantum efficiency (QE), low emittance, and high temporal resolution. Two challenges with these photocathodes are (1) the lack of a universal deposition recipe to achieve crystal stoichiometries and (2) their high susceptibility to vacuum contamination, which restricts their operation pressure to ultrahigh vacuums and leads to a short lifetime and low extraction charge. To resolve these issues, it is essential to understand the elemental compositions of deposited photocathodes and correlate them to robustness. Here, we report depth profiles for potassium cesium antimonide photocathodes, which were investigated using synchrotron radiation x-ray photoelectron spectroscopy, and the robustness of those photocathodes. We prepared two types of photocathodes with different potassium contents via sequential thermal evaporation. Depth profiles revealed that the photocathodes with a potassium deficit had excess cesium at the surface, while the ratio of potassium and cesium to antimony decreased rapidly within the film. In contrast, the photocathodes with sufficient potassium had close to the theoretical stoichiometry of K2CsSb at the surface and maintained that stoichiometry for over half the entire film thickness. Both photocathode types had a similar maximum QE at 532 nm; however, exposure to oxygen revealed that the photocathode with a crystalline stoichiometry of K2CsSb maintained QE at one order of magnitude higher pressure compared to its potassium-deficit counterpart. These results highlight the importance of synthesizing potassium cesium antimonide photocathodes with sufficient potassium to achieve the theoretical crystalline stoichiometry for both high QE and improved robustness.

Synthesis of a fluorophilic magnetic microporous organic network for selective enrichment of fipronil and ethiprole in milk and egg samples.

Considering the widespreadly use, large consumption, and serious environmental and health threats of phenylpyrazole insecticides (PPIs), development of a selective and sensitive method for accurate detection of their residuals in food samples is of great significance and challenging. Herein, depending on the hydrophobic and F-containing characteristics of PPIs, a novel fluorinated magnetic microporous organic network (FMMON) was designed and prepared for efficient and selective magnetic solid-phase extraction (MSPE) of two typical PPIs (fipronil and ethiprole) from milk and egg samples before the HPLC-UV determination. FMMON owned large specific surface area, multiple interaction sites, excellent magnetic separation performance and stability and exhibited good extraction and selectivity for fipronil and ethiprole through the specific F-F, hydrogen bonding, hydrophobic, and π-π interactions. Under optimal extraction conditions, the established FMMON-MSPE-HPLC-UV method provided wide linear ranges (0.1-1000 µg L-1), low limits of detection (0.03-0.05 µg L-1), large enrichment factors (96.2-99.7), low adsorbent consumption (4 mg), and short extraction time (6 min) for fipronil and ethiprole. This work revealed the bright future of fluorinated MONs in sample pretreatment of fluorinated contaminants in complex substrates.

Predicting EV battery state of health using long short term degradation feature extraction and FEA TimeMixer

Accurately predicting the State of Health (SOH) of new energy vehicle batteries is critical for ensuring their reliable operation and extending battery’s service life. To address the issue of low SOH prediction accuracy across different prediction lengths, this paper proposes a prediction method based on long-short-term battery degradation feature extraction and FEA-TimeMixer model. First, a novel automatic SOH extraction algorithm for offline charging data is introduced to label the battery SOH degradation data. Then, the autoencoder is utilized to fuse the features of long-term and short-term SOH degradation trends extracted by empirical degradation models and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise to improve the prediction accuracy over different prediction lengths. Finally, a Frequency Enhanced Attention (FEA) mechanism is introduced to improve the TimeMixer model, which integrates time-domain and frequency-domain information to overcome the limitations of the original model in capturing frequency-domain features. Experimental results show that the proposed method achieves a Mean Absolute Error of less than 0.0219 for short-term SOH predictions and less than 0.1007 for long-term SOH predictions, outperforming other deep learning models in prediction accuracy over multiple prediction lengths.

Green-Chemical Nanofibrillated Cellulose from Pineapple Cores using Microfluidization

The production of nanofibrillated cellulose (NFC) from pineapple cores (Ananas comosus (L.) Merr.) involves green-chemical cellulose extraction followed by microfluidization. The chemical composition of pineapple cores was initially analyzed to assess their suitability for cellulose production. The analysis revealed that the pineapple cores contained 94.18 ± 0.20 % insoluble dietary fiber (IDF), while soluble dietary fiber (SDF) comprised only 0.31 ± 0.01 %, and consequently suitable for cellulose extraction. The cellulose extraction from pineapple cores involved removing non-cellulosic components: 1) Control (washed with water), under a green-chemical method with 0.1 M citric acid for 20 min at different temperatures, 2) Boiling (100 °C), and 3) Autoclaving (121 °C). Autoclaving with citric acid achieved the highest cellulose content (72.77 %), with minimal hemicellulose (21.44 %), lignin (13.33 %), galacturonic acid (3.42 %), and residual total sugar (1.82 %). The short extraction duration of only 20 min produces high-purity cellulose comparable to that obtained through alkaline and bleaching methods. Scanning electron microscopy (SEM) indicated that this method effectively removed non-cellulosic materials, increasing fiber porosity. The cellulose was then microfluidized at 25,000 psi (172 MPa) through 1 - 5 cycles, reducing the fiber diameters from 80.25 to 62.46 nm. Rheological testing revealed that NFC exhibited a higher storage modulus (G') than loss modulus (G''), suggesting gel-like behavior. NFC suspensions at 0.5 and 1 % concentrations showed viscosities of 3.35 - 3.85 cPs and 3.75 - 4.40 cPs, respectively. Therefore, NFC can function as a stabilizing agent for food without significantly altering the viscosity. HIGHLIGHTS Nanofibrillated cellulose (NFC) was efficiently extracted from pineapple cores using a green-chemical cellulose extraction method followed by microfluidization, offering an environmentally friendly alternative. Cellulose extraction via autoclaving with citric acid yielded the highest cellulose content (72.77 %) in a 1-step process and demonstrated superior purification efficiency. The rheological properties of NFC revealed gel-like behavior, indicating its potential as a stabilizing agent in food systems without significantly altering the viscosity. GRAPHICAL ABSTRACT

Extraction of antioxidant and antibacterial agents from avocado (Persea americana) seed using Pulsed Electric Field method

The abundance of avocado seeds causes environmental problems. Therefore, avocado seeds, which are high in bioactive compounds, have been utilized. Several extraction methods have been explored to maximize this utilization. However, conventional extraction methods present major challenges due to disadvantages such as requiring high temperatures, high energy consumption, long extraction times, and producing solvent waste. To that purpose, the Pulse electric field (PEF) extraction method was developed, which is highly efficient, has a short extraction process, is environmentally friendly, and does not produce solvent waste. This study observed the effect of electric field strength (2.5–7.5 kV/cm) and pulse frequency (100–250 Hz) until an optimum point on the properties of avocado seed extract (Avs) as an antioxidant and antibacterial agent. The results show that increasing the electric field strength and pulse frequency boosts the extraction yield and total phenolic content (TPC). This is highly supported by SEM images, which show more pores, cavities, and disrupted membrane cells as the electric field strength and pulse frequency increased. GC-MS and FTIR analysis also showed that the extract contains bioactive compounds such as polyphenols, fatty acids, and other compounds with the representing peaks OH, C−H stretch, CC, −C−H stretch, C−O stretch, and in-plan deformation vibration CH indicating as antioxidant and antibacterial agents. The extract obtained at 7.5 kV/cm with a pulse frequency of 250 Hz shows the best performance of bioactive potential indicated by antioxidant activity, IC50, and surface area of the inhibition zone against E. coli and S. aureus, which are 95.56 %, 90 µg/mL, 396 mm2, and 785 mm2, respectively. The inhibitory zones of the two microbials were relatively stable until the seventh day of observation. This research showed that the EF extraction method serves as an eco-extraction technology of natural bioactive compounds, which has high potential application as an antioxidant and antibacterial agent.

Ultrasound-assisted extraction of sumac fruit oil and analysis of its fatty acid composition.

The use of ultrasound for enhancing the extraction of sumac fruit oil was investigated to maximize the utilization of available sumac fruit resources. The optimal extraction parameters were determined using single-factor trials and Box-Behnken design optimization and were found to be a liquid-to-material ratio of 13:1mL/g, an ultrasound temperature of 47°C, and an ultrasound duration of 32min. These yielded a 20.59% extraction rate of the oil. The ultrasonic-assisted approach markedly increased the extraction rate and significantly reduced the extraction time when compared to classical Soxhlet extraction. The resulting sumac fruit oil had a brown-yellow color with peroxide, acid, and iodine concentrations of 2.43mg/g, 0.44g/100g, and 135g/100g, respectively, and relative density (d20 20), and refractive index (20°C) values of 0.911, and 1.469, respectively. The primary fatty acids in the oil were stearic, linoleic, palmitic, linolenic, and oleic acids. With a 74.14% unsaturated fatty acid content, it has a high nutritional value as well as significant development and usage potential. PRACTICAL APPLICATION: This study demonstrates a highly efficient method for extracting vegetable oils and fats. It has the advantages of simple operation, low extraction temperature, short extraction time, high extraction rate, no damage to the material structure, excellent phusicai and chemical properties of the extracted vegetable oil, low cost, and the potential application in the food industry is crucial.

The That-Trace Effect—A Surface or a Deep Island Phenomenon? Evidence from Resumption and Prolepsis in Igbo

In many languages, a subject/non-subject Ā-extraction asymmetry can be observed: While non-subject extraction is unproblematic, long extraction of the subject requires repair strategies. This phenomenon is known as the that-trace effect. Two broad types of approaches to this effect have been proposed in the literature: (a) structural accounts that prohibit subject extraction in the syntax; (b) surface-oriented PF accounts according to which nothing blocks long subject movement in the syntax, but a surface filter prohibits the output string where a trace follows the complementizer. In this paper, we argue for a syntactic cause of the effect in Igbo (Benue-Congo, Nigeria). The empirical evidence centers around the distribution of resumptive pronouns in the language. We show that Igbo has all the ingredients required for a PF approach to the that-trace effect (viz., long Ā-movement and trace spell-out); nevertheless, it does not apply them to enable long subject extraction but rather resorts to prolepsis (among other strategies). Further evidence against a PF account comes from the impossibility of short subject extraction. Finally, we provide evidence from subextraction from subjects for an antilocality component underlying the subject extraction restriction in Igbo.

OPTIMISATION METHOD FOR OBTAINING A BIOLOGICALLY ACTIVE SUBSTANCES FROM THE PLANT PETROSIMONIA BRACHIATA

Kazakhstan is rich in medicinal plants, so it needs to be studied. Ten species of the Petrosimonia belonging to the Chenopodiaceae family are growing in Kazakhstan. These plants have been adapted to harsh climatic conditions in the country’s salty, saline, and desert areas. Petrosimonia plants are a new species that has not been fully studied. Chinese scientists studied Petrosimonia sibirica species and found that the plant contains alkaloids, steroids, terpenes, flavonoids, and phenolic acids and has antibacterial activity (Wen, 2015; Ying, 2016). The qualitative and quantitative compositions of biologically active substances in P. sibirica, P. Glaucescens, P. triandra, and P. brachiata growing in Kazakhstan were studied. To prepare phytopreparations from P. Sibirica, P. Glaucescens and P. triandra plants were extracted using the classical maceration method, and individual representatives of biologically active compounds were isolated (Toktarbek, 2021; Seitimova, 2022). In this study, a phytochemical study of P. brachiata was conducted. The method for obtaining biologically active complexes with high efficiency was optimised by using supercritical fluid and ultrasonic extraction methods. These methods have a short extraction time, can be carried out at room temperature, are cost effective, and are a modern green chemical approach. Using supercritical fluid CO2 extraction (180 bar, 2 hours), the plant was purified from lipophilic substances. Further, a biologically active complex was obtained by pouring 70% ethanol-water solvent into the plant raw material and performing ultrasound extraction. The obtained complex was analysed by thin-layer chromatography using different organic solvent systems. Based on our analysis, steroids, terpenes, phenolic acids, and flavonoid glycosides were found in the extract. Hexane and ethyl acetate fractions were obtained as a result of liquid-liquid extraction of the extract using organic solvents. Stigmasterol 3-O-β-D-galactopyranoside, isovanillic acid, quercetin 3-O-β-D-glucopyranoside, and isorhamnetin 3-O-α-L-rhamnopyranoside were isolated by washing the hexane and ethyl acetate fractions in a silica gel column with an organic solvent system. The isolated compounds will be tested for biological activity.

Effective extraction and detection of aflatoxins in cereals using nitrogen-rich benzodiimidazole linkage magnetic covalent organic framework based solid phase extraction and HPLC-MS/MS analysis

Cereals are frequently contaminated by aflatoxins (AFs). The objective of this study was to develop an efficient extraction materials for rapidly extracting and detecting AFs. A novel amino-functionalized benzodiimidazole linkage magnetic covalent organic framework (Fe3O4@BB-COF) was simply fabricated by one-step cyclization and aromatization. The Fe3O4@BB-COF, having multiple N-containing active sites, exhibited excellent extraction capability towards AFs due to synergistic interactions, including the π-π interactions, hydrogen bonding interactions, polar interactions, electrostatic interactions and Lewis acid-base interactions. The Fe3O4@BB-COF based MSPE method for detecting aflatoxins has advantages of simple operation, short extraction time (6 min), and low material consumption (2 mg). This method exhibited satisfactory linearity (0.05–20 μg/kg), and sensitivity (0.01–0.45 μg/L for the detection limits) and accuracy (76.8–97.1 % for recovery) and was successfully applied for extracting and detecting AFs in cereals.

Ionic liquid and ultrasound as a fast and innovative combination for improved extraction of Chlorella sorokiniana-derived carotenoids

Chlorella sorokiniana is a microalgae with high amounts of carotenoids, but the extraction methods need to be improved. This work hypothesized that the combination of ionic liquids (ILs) and ultrasound would provide a fast and efficient process for carotenoid extraction, allowing for the reuse of ILs in several extractive cycles. This study aimed to develop an improved ILs/ultrasound-based method for extracting carotenoids from C. sorokiniana. The potential reuse of ILs in five consecutive extraction cycles and the recovery of carotenoids was also examined. Moreover, the antioxidant activity of the carotenoid extracts and their effects on metabolic cell viability and cell death were investigated using HT22 neuronal cells. Initial tests with four ILs and acetone as a control were carried out in an ultrasonic probe. The ILs (1-butyl-3-methylimidazolium chloride [BMIM][Cl]; 1-hexyl-3-methylimidazolium chloride [HMIM][Cl]) were selected for the 25−1 fractional experimental design. The maximized parameters obtained in the experimental design were the following: IL ([HMIM][Cl]), a 1:10 solid-liquid ratio, a 1:4 IL-cosolvent ratio, and two repetitions of extraction with 7.5 min (with an extraction yield of 1.29 mg·g‐1 of dry matter). A total of 11 carotenoids were separated, and nine were identified, the major ones being lutein and β-carotene. [HMIM][Cl] recyclability using resin Amberlite XAD-7HP was efficient for at least five cycles. On average, 91 % of the IL was recovered, and the pigment yield increased by 40 %. The antioxidant activities of the extracts obtained using [HMIM][Cl] and acetone were 1.65 μmol and 2.32 μmol of α-tocopherol, respectively. Both extracts (≤ 4.0 μg·mL‐1) exhibited no significant toxicity to HT22 cells. The proposed method is an innovative and improved approach for carotenoid extraction from C. sorokiniana due to its short extraction times and high process yield. [HMIM][Cl] demonstrated stability in reuse cycles and proved to have the potential for obtaining carotenoids from C. sorokiniana.

In-syringe homogeneous liquid–liquid microextraction as an economical, convenient, and one-step analytical method for the extraction and preconcentration of five plasticizers and one antioxidant from different city tap water samples

In this study, an analytical method called in-syringe homogeneous liquid–liquid microextraction was developed and applied for the extraction and preconcentration of plasticizers including di ethyl phthalate, di isobutyl phthalate, di-n-butyl phthalate, di(2-ethylhexyl) adipate, and di(2-ethylhexyl) phthalate and one antioxidant, (butylated hydroxytoluene). Only a few microliters of dibutyl amine was used as the extraction solvent. This switchable solvent became miscible in the solution of interest by adding acetic acid at µL-level to extract the analytes. Also, the addition of sodium carbonate (in mg-level) into the solution led to the release of carbon dioxide, which facilitated the extraction of plasticizers into the extractant. Also, sodium carbonate caused to the regeneration of the extractant in the upper narrow bore of the syringe. The enriched analytes were determined by a gas chromatographic equipped with a flame ionization detector. Under the optimum conditions, extraction recoveries and enrichment factors were obtained in the ranges of 39–78 % and 196–394, respectively. Also, the limits of detection and quantification were in the ranges of 1.76–12.51 µg/L and 5.80–41.28 µg/L, respectively, and the r2 values were equal to or better than 0.991. Development of the method as a one-step analysis processed which was electrically independent in extraction and preconcentration stage (no centrifugation or vortexing) and inexpensive. The use of only µL-level of organic solvent, convenient operation, and short extraction time are the other highlights of the method. This method was successfully applied to the extraction, preconcentration, and determination of several plasticizers in eight different city water samples.

A Chelex-100-based rapid DNA extraction method and its application in the detection of shrimp pathogens

BackgroundThe Pacific white shrimp is one of the world’s most economically significant aquatic species, being one of the top three species cultured globally. However, the increasing incidence of diseases such as acute hepatopancreatic necrosis disease and hepatopancreatic microsporidia has led to a serious decline in shrimp production and severe economic losses. With the increasing demand for pathogen detection in shrimp farms, rapid DNA extraction technology has become more sophisticated. In this study, a rapid and crude method of extracting genomic DNA from shrimp muscle and hepatopancreas using Chelex-100 was established. ResultsDNA was successfully extracted from muscle and hepatopancreatic tissues using both the Chelex-100 method and commercial kits. The internal reference genes of shrimp were successfully amplified via PCR and real-time PCR using the obtained DNA samples. Moreover, a field assay was successfully conducted using real-time PCR and real-time enzymatic recombinase amplification (real-time ERA), indicating that the quality of the DNA extracted using Chelex-100 is sufficient for use in conjunction with nucleic acid amplification to detect pathogens in shrimps. ConclusionsChelex-100 is an efficient method for extracting DNA from shrimp muscle or hepatopancreas tissues, with a short extraction time, high extraction efficiency, and simple operation, making it appropriate for use in the detection of pathogens in shrimp.How to cite: Yang H, Zhou Q, Hu J, et al. A Chelex-100-based rapid DNA extraction method and its application in the detection of shrimp pathogens. Electron J Biotechnol 2024;70. https://doi.org/10.1016/j.ejbt.2024.04.004.

A Framework Model of Mining Potential Public Opinion Events Pertaining to Suspected Research Integrity Issues with the Text Convolutional Neural Network model and a Mixed Event Extractor

With the development of the Internet, the oversight of research integrity issues has extended beyond the scientific community to encompass the whole of society. If these issues are not addressed promptly, they can significantly impact the research credibility of both institutions and scholars. This article proposes a text convolutional neural network based on SMOTE to identify short texts of potential public opinion events related to suspected scientific integrity issues from common short texts. The SMOTE comprehensive sampling technique is employed to handle imbalanced datasets. To mitigate the impact of short text length on text representation quality, the Doc2vec embedding model is utilized to represent short text, yielding a one-dimensional dense vector. Additionally, the dimensions of the input layer and convolution kernel of TextCNN are adjusted. Subsequently, a short text event extraction model based on TF-IDF and TextRank is proposed to extract crucial information, for instance, names and research-related institutions, from events and facilitate the identification of potential public opinion events related to suspected scientific integrity issues. Results of experiments have demonstrated that utilizing SMOTE to balance the dataset is able to improve the classification results of TextCNN classifiers. Compared to traditional classifiers, TextCNN exhibits greater robustness in addressing the problems of imbalanced datasets. However, challenges such as low information content, non-standard writing, and polysemy in short texts may impact the accuracy of event extraction. The framework can be further optimized to address these issues in the future.

A simple and highly sensitive LC–MS workflow for characterization and quantification of ADC cleavable payloads

Antibody–drug conjugates (ADC) payloads are cleavable drugs that act as the warhead to exert an ADC’s cytotoxic effects on cancer cells intracellularly. A simple and highly sensitive workflow is developed and validated for the simultaneous quantification of six ADC payloads, namely SN-38, MTX, DXd, MMAE, MMAF and Calicheamicin (CM). The workflow consists of a short and simple sample extraction using a methanol-ethanol mixture, followed by a fast liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis. The results showed that well-validated linear response ranges of 0.4–100 nM for SN38, MTX and DXd, 0.04–100 nM for MMAE and MMAF, 0.4–1000 nM for CM were achieved in mouse serum. Recoveries for all six payloads at three different concentrations (low, medium and high) were more than 85%. An ultra-low sample volume of only 5 µL of serum is required due to the high sensitivity of the method. This validated method was successfully applied to a pharmacokinetic study to quantify MMAE in mouse serum samples.

Efficient preparation of metallic titanium from lower valence titanium chloride slurry by electrochemical reduction in molten salts

Short extraction of metallic titanium by the electrochemical reduction process in molten salt has attracted increasing interest due to its many advantages. The electrolysis of high-purity titanium to produce lower valence titanium chlorides has so far been industrialized as balancing agents but large-scale production is still challenging due to the high cost of raw materials and easy deterioration. Herein, metallic titanium was extracted from lower valence titanium chlorides (LTCs) slurries by electrochemical reduction in molten salts. The results of LTC slurries at 260 ºC for 48 h revealed the formation of red-violet α- and γ- TiCl3 with an Al content below 0.09 wt%, which gradually reduced to form metallic titanium in molten salt electrolytes. Porous metallic Ti powders were obtained from TiCl3 by electrochemical reduction in KCl-LiCl-MgCl2 molten salt at 400 °C. The reaction at the anode area was accompanied by TiCl4 gas overflow, and continuous electrolysis of metallic titanium was achieved by supplementing the consumed TiCl3. Overall, the proposed electrolysis process looks promising for large-scale applications due to its simple electrolysis equipment, relatively stable electrolyte components, and good product quality, thereby worth further future investigation.

Phytochemicals from Bark Extracts and Their Applicability in the Synthesis of Thermosetting Polymers: An Overview.

This review focuses on recent research on the phytochemicals found in bark from different trees and their potential to be used as substrates for the synthesis of thermosetting resins. Recent studies about the influence of each bark harvesting step on the extracted phytochemicals, from debarking to extraction, are investigated. A comparison of bark extracts in terms of the correlation between extraction conditions and efficiency (based on the total phenolic content (TPC) and extraction yield) is presented for six groups of trees (Norway spruce, pine species, other conifers, oak species, other deciduous trees of the north temperate zone, tropical and subtropical trees) and evaluated. The evaluation revealed that there is an interesting relationship between the extraction time and the type of solvent for some types of tree bark. It was found that a relatively short extraction time and a solvent temperature close to the boiling point are favourable. The latest research on the application of bark extracts in different types of thermosetting resins is described. This review discusses the attractiveness of bark extracts in terms of functional groups and the possibilities arising from extractable phytochemicals. In addition, different approaches (selective versus holistic) and methods of application are presented and compared.

EXTRACTION, OPTIMIZATION AND QUALITY CHARACTERIZATION OF OIL FROM HASS AVOCADO (PERSEA AMERICANA) VARIETY GROWN IN ETHIOPIA (WONDOGENET)

The purpose of this research was to extract, optimize and characterizethe qualityof oil from Hass avocado variety which is grown in Wondogenet, Ethiopia. Oil was extracted from Hass avocado pulp using soxhlet and ultrasonic extraction and some process parameter for optimization were carried out. Hass avocado is rich in fat (22.80±0.00%). The effects of three factors (particle size, solvent to sample ratio and extraction time) on the oil yield were considered. The optimum extraction conditions for soxhlet extraction were found to be at 8 h reaction time, particle size of 1.4mm and solvent to solid ratio of 20:1 with a maximum yield of 69.7%, while the optimum extraction conditions for ultrasonic extraction were found at 1.5 h reaction time, particle size of 2mm and solvent to solid ratio of 15:1 with a maximum percentage yield of 67.2%. The analyses of the oil characteristics demonstrated that the oil extracted by soxhlet extraction shows lower PV, FFA, MVM and Alkalinity than oil extracted using Ultrasonic extraction. The results of fatty acid profile displayed that the oleic and linoleic acid contents of the soxhlet extracted oil were higher than that of the Ultrasonic extracted oil while palmitic and butanoic acid were higher in ultrasound extracted oil. Generally, ultrasound assisted extraction showed a promising oil yield regarding short extraction time and low solvent consumption but its oil quality is lower than that of soxhlet extracted oil.

Magnetic iron-based metal organic framework as an adsorbent for magnetic dispersive solid-phase extraction of pyrene and phenanthrene in water samples

ABSTRACT A dispersive magnetic solid-phase extraction by means of core-shell iron-based metal-organic framework (Fe3O4- SiO2/EN@MIL-101(Fe)) nanospheres coupled with high-performance liquid chromatographic was developed for the determination of pyrene (Pyr) and phenanthrene (Phe) in water samples. Key parameters such as sorbent amount, sample volume, pH, extraction time, type and volume of elution, and desorption time were optimised by response surface methodology (RSM). Under the optimised conditions (sample volume: 5 mL, extraction time: 3 min, eluent: 3 mL acetonitrile: propanol, and desorption time: 3 min), the developed method showed a low detection and quantification limits (0.015 and 0.040 ng mL−1, respectively), good precision (< 9.8% RSD), wide linear range (0.06 - 10,000 ng mL−1, R2 > 0.99), high enrichment factors (49–57), good matrix effect (> 93.2%), high reusability (25 times), short extraction and desorption time (3 and 3 min, respectively), and high extraction recovery (96.5%). The established method was able to recover the Pyr and Phe from spiked real water samples with an extraction efficiency of 95.71% and 96.32%, respectively (RSD ≤ 9.52%).

Rapid determination of polyhalogenated carbazoles in water chestnut based on vortex assisted solvent extraction coupled with dispersive filter extraction followed by gas chromatography-tandem mass spectrometry

Polyhalogenated carbazoles (PHCZs), originating from the production and use of halogenated indigo dyes, photoelectric materials, and p-chloraniline structure herbicides, pose a threat to water environments, aquatic products, and consequently human health. Therefore, establishing an accurate detection method for PHCZs in aquatic products is of paramount importance. In this study, trace PHCZs (36-CCZ, 36-BCZ, and 1368-BCZ) in water chestnut were detected for the first time using the prepared polyvinyl alcohol-functionalized graphene aerogel (PGA) as a novel adsorbent for dispersive filter extraction (DFE), coupled with vortex assisted solvent extraction (VASE), followed by gas chromatography-tandem mass spectrometry (GC–MS/MS). The extraction process (VASE-DFE) has the advantages of good purification effect, short extraction time (<15 min), and low adsorbent dosage (1.0 mg). This method demonstrated excellent linearity in the range of 0.10/0.50/1.00–200 ng/g for the three PHCZs (R2 ≥ 0.9995), and the recoveries at three spiked levels (2, 20, 100 ng/g) ranged from 82 % to 93 %, with relative standard deviations (RSDs) ≤ 7.4 %. Notably, the method outperforms previously reported adsorbents in terms of RSDs, adsorbent dosage, and extraction time. The VASE-DFE-GC–MS/MS method provides a new approach for the detection of trace pollutants in complex samples, introduces a novel technology for environmental and food safety monitoring, and contributes to enhancing food safety supervision.