Integrated biorefinery scheme for apple pomace: Synergistic extraction and fermentation for dual recovery of pectin and 2,3-butanediol

TOC-inhibited synergistic solvent extraction system for high-efficiency germanium recovery from sulfuric acid solutions: Extraction behavior and reaction mechanism

Microwave and ultrasound assisted synergistic extraction of aromatics from food and agro-waste using DES and NADES

Synergistic extraction technologies: A comprehensive review of EASCFE and its applications

Enhanced Oxytetracycline Photocatalytic Degradation via Ferroelectric Polarization-Engineered TiO2/BTO-P/GQDs Heterostructure: Synergistic Rapid Charge Extraction and Comprehensive Reactive Site Optimization

Hierarchically porous UiO-66-(OH)2@COF-OMe composites with multiple binding sites for synergistic extraction of polybrominated diphenyl ethers from surface waters.

As a basic machine learning task, Multi-View Classification (MVC) has garnered considerable attention and achieved great success. However, the existing MVC methods, especially late fusion style ones still suffer from some problems: 1) hidden valuable information is not well exploited; 2) a lack of interaction before decision making. To address these problems, we propose a novel framework named ”TrashtoTreasure” that leverages mutual information to effectively exploit hidden valuable information. Specifically, the framework explicitly disentangles multi-view information into ”useful” components and ”trash” (noisy) components, and further extracts potentially valuable ”treasure” information from the ”trash”components of all views. Additionally, we design a tailored objective function that facilitates the effective separation of ”useful” and ”trash” components, as well as the synergistic extraction of ”treasure” information. This function guides model optimization through triple mutual information constraints. Experimental results on synthetic data and several real-world data sets verified the effectiveness and superiority of the proposed method. The fresh perspective offered by this article may inspire more interesting exploration in this direction. The codes are available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/jiezhang054/TrashToTreasure</uri>.

Highly selective lithium recovery from high Na/Li ratio salt lake brines using a novel MEC extractor with HBTA-L2 synergistic extraction system

Efficient, durable, and scalable photocathodes are indispensable for large-scale solar-to-hydrogen production. Notably, single-junction semiconductor photocathodes are attractive due to their structural simplicity, cost-effectiveness, and mature fabrication, yet they usually exhibit intrinsically poor carrier extraction efficiency. To address this challenge, we propose a synergistic "dual-electron extraction" strategy that fully unleashes the hydrogen evolution potential of single-junction p-InGaN nanowires. Remarkably, the optimized p-InGaN photocathode achieves a photocurrent density of -3.40mAcm-2 at 0V vs. RHE-representing a 37.8-fold enhancement over the pristine device-with an onset potential of 0.82V vs. RHE, while sustaining stable hydrogen generation for over 300h without additional protective layers. Specifically, an electron-blocking layer was incorporated within p‑InGaN nanowires to suppress electron backflow toward the substrate and promote transport to the nanowire/electrolyte interface. Furthermore, surface anion doping in InGaN nanowires significantly enhances the band bending of InGaN, which promotes interfacial electron transfer while simultaneously optimizing hydrogen adsorption energy, thereby accelerating the hydrogen evolution reaction rate. The proposed synergistic dual-electron extraction strategy markedly improves the electron utilization efficiency of single-junction InGaN nanowires, providing a novel pathway to address the intrinsic limitations of wafer-scale III-V nitride photoelectrodes.

Integrating THMCD coupling for CH4 production and CO2 storage in CO2-ECBM: A multiphysics modeling framework

Novel green solvent-in situ ultrasound synergistic extraction of phenolic acids from Lonicera japonica thunb.

Recent advances in extraction and food applications of natural bioactives using deep eutectic solvents.

The CO2 replacement method, which enables simultaneous CH4 recovery and CO2 sequestration, is a highly promising green technology for natural gas hydrate (NGH) extraction. However, the replacement efficiency remains relatively low under conventional conditions. To overcome this limitation, the promoting effect of depressurization stimulation on the replacement process was systematically investigated using a laboratory-scale hydrate extraction apparatus. The results indicate that depressurization stimulation can effectively enhance CH4 recovery, primarily by disrupting the mixed hydrate layer on sediment particle surfaces and driving the replacement front deeper into the reservoir. While early depressurization favors CH4 recovery, later depressurization benefits CO2 sequestration. Increasing depressurization magnitude enhances CH4 recovery but contributes minimally to CO2 sequestration and is detrimental to geomechanical stability. Under five-stage depressurization, the CH4 recovery increased from 35.7% in the control experiment to 66.1%. Moreover, a threshold effect was observed for multistage depressurization, beyond which CH4 production primarily stems from hydrate dissociation, and replacement efficiency plateaus. These findings provide important experimental evidence and engineering guidance for the synergistic extraction of marine NGH coupled with geological CO2 sequestration.

Integrated Green “Extraction-Enrichment” Process for Sea Buckthorn Berry Flavonoids: Surfactant-Lipase Synergistic Microwave Extraction and In-Situ Cloud Point Enrichment

Surfactant-free microemulsion based on hydrophilic deep eutectic solvent for efficient curcuminoids synergistic extraction: Experimental and mechanistic study

In this study, the rapidly synergistic cloud point extraction (RS-CPE) method, which is an improved version of cloud point extraction (CPE), has been used. Based on this method, spectrometric determination (the flame atomic absorption spectrometry (FAAS)) of the manganese (Mn) was carried out in Sivas hot spring water (HSW) and in cold spring water (CSW) after extraction in the presence of synergistic reagent and a complexing agent. The effect of pH, amount of surfactant, amount of complexing agent, amount of synergistic cloud point regulator and solvent species used to reduce the viscosity of the organic phase on extraction were investigated. Optimum conditions were found to be 7.00; 6.90 for pH, 0.15%; 0.18% (v/v) for surfactant, 7.07×10-5; 8.08×10-5mol L-1 for complexing agent, 0.8; 0.6 mL for synergistic cloud point regulator HSW and CSW, respectively. It was also found to be methanol solution for solvent type (1.0 mol L-1 with nitric acid), HSW and CSW, respectively. Matrix-compatible calibration was determined at a range of 2-120; 3-120 μg L-1 with a detection limit of 0.56; 0.87 μg L1, HSW and CSW, respectively. A sensitization improvement of 109.1; 105.5 after enrichment resulted in a preconcentration factor of 40 for the 40.0 mL sample HSW and CSW, respectively. After the addition of 50.0 μg L-1 manganese to the matrix, the precision was 3.15% and 3.8% and recovery of the five replicate measurements and 97.2%; 96.5%, HSW and CSW, respectively. The soluble Mn concentration was 85.2; 32.7 μg L-1 from the sample analysis performed under optimum conditions, HSW and CSW, respectively

Efficient recovery of nickel, cobalt, and manganese from Ca- and Mg-rich sulfate leachates is essential for battery-grade precursor production. A synergistic solvent extraction (SSX) system combining N,N-bis(4-thiazolylmethyl)octylamine (NNBT) with acidic organophosphorus extractants was developed to achieve coextraction of Ni, Co, and Mn. Among various combinations, the D2EHPA–NNBT system exhibited the highest selectivity and cost efficiency, enabling complete extraction of Ni, Co, and Mn while suppressing Ca and Mg transfer. Multistage countercurrent and scrubbing operations further reduced impurities, producing high-purity Ni–Co–Mn sulfate solutions suitable for battery applications. Thermodynamic and spectroscopic analyses confirmed that synergism originated from selective coordination and cation-exchange interactions. This study demonstrates a practical and scalable route for selective Ni–Co–Mn recovery from impurity-rich sulfate solutions, contributing to the efficient and sustainable hydrometallurgical processing of battery metals.

Synergistic Extraction and Separation of Gold from the Chlorinated Leachate of Recycled Crude Gold Using DBC-TBP

Cadmium Recovery from High Arsenic-Bearing Dust via Synergistic Extraction Followed by Arsenic Immobilization as Scorodite

Glucocorticoid (GC) residues present in aquatic products raise food safety concerns, as their chronic dietary intake may pose potential risks of endocrine and metabolic disruption. For the first time, a sensitive and reliable liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed and validated herein for the simultaneous determination of 12 GCs residues, including critical isomeric pairs and acetate ester derivatives, in a variety of aquatic foods, employing deuterated isotopic internal standards. Key optimizations included using a pentafluorophenyl column for effective isomer separation, a synergistic extraction system for high recovery, and QuEChERS purification to mitigate matrix effects. The method exhibited excellent linearity (r2 > 0.996) and high accuracy (recoveries 97.3-99.3%), and the intra- and inter-day precision values were below 3% in five representative aquatic matrices, with a limit of detection (LOD) and a limit of quantification (LOQ) of 0.5 μg/kg and 0.75 μg/kg, respectively. Animal experiments confirmed the in vivo retention of acetate derivatives, justifying their inclusion in monitoring. Real sample analysis of 18 market samples revealed the presence of cortisone and hydrocortisone in 17 samples. This represents the first reported LC-MS/MS method that provides a sensitive, reliable tool for regulatory monitoring of GC residues in diverse aquatic products, thereby supporting food safety assurance.