Multifunctional bionanocomposites for trace detection of water contaminants.

PHEMA polymer brush/Ag nanoparticle hybrids for SERS analytics: characterization and performance as versatile sensing substrate.

NiO/TiO2 adsorbent for efficient removal of toxic gas phosphine and recycling of spent adsorbent for photocatalytic degradation of malachite green (MG)

Octopus tentacle-inspired fenugreek gum-based hydrogel particles for reusable and ultra-efficient removal of malachite green

Road-marking operations generate alkaline wash water with intense color and soluble cationic additives. A new biomass adsorption material (LML) was developed to address dye pollution in road-marking wash water effectively. Enzymatically hydrolyzed lignin was used as the raw material for the first time. L-lysine was modified to the structure of the lignin benzene ring using a simple one-step synthesis method, which endowed lignin with a large number of active carboxyl and amino functional groups to improve its adsorption capacity. The adsorption performance of LML for methylene blue in water was also investigated. The experimental results show that the LML has a high dye removal rate under alkaline conditions. The fitted adsorption model shows that the saturated adsorption capacity of LML for methylene blue (MB) is 129.4 mg g−1 and malachite green (MG) is 244.9 mg g−1, which is in line with the Langmuir isotherm adsorption model. The adsorption process is endothermic, which means that the adsorption capacity increases with increasing temperature. Kinetic studies showed that the adsorption process reached equilibrium within 120 min following a pseudo-second-order kinetic model. The cycle experiment shows that the removal efficiency of the adsorbent for dyes can still reach 90% after five cycles, indicating a good practical application value for the polishing of road-marking wash water.

This study presents a sustainable, low-cost solid-state synthesis of Pistacia vera-derived nanoparticles (PVNPs) from agro-waste (Pistacia vera testa). The PVNPs were extensively characterized and utilized for the adsorption of crystal violet (CV), methylene blue (MB), and malachite green (MG) dyes. PVNPs exhibited over 95% removal of MB dye and over 85% removal of CV and MG dyes within 10min under optimized conditions. Key operational parameters (pH, contact time, initial dye concentration, and adsorbent dosage) were optimized using response surface methodology (RSM), revealing significant individual and interactive effects. The adsorption kinetics of the studied dyes were further evaluated using the Elovich model to gain insight into the surface heterogeneity and adsorption mechanism. Pseudo-second-order kinetics and Langmuir isotherm were best-fit, indicating that adsorption of cationic dyes occurred through monolayer chemisorption, with maximum adsorption capacities (Qmax) of 7.83, 17.11, and 7.24mg·g⁻1 for CV, MB, and MG, respectively. To enhance reusability and ease of NP recovery, while minimizing leaching, PVNPs were encapsulated in sodium alginate (SA) beads, which exhibited good adsorption efficiency for CV, MB, and MG, respectively. This work exemplifies a waste-to-resource approach, converting agricultural waste into efficient adsorbents for dye remediation, thereby aligning with the principles of green chemistry and the circular economy.

The green synthesis of iron nanoparticles (FeNPs) using plant extracts has attracted considerable attention because of their potential to effectively decolorize dye-containing wastewater. Nevertheless, the underlying mechanism remains a topic of debate, mainly due to the complex composition of the extracts. In this study, we introduced a novel and well-defined model system by employing a single polyphenol, ellagic acid (EA), as both reducing and capping agent to synthesize iron particles (Fe-EA). This strategic approach not only circumvents the compositional variability of conventional plant extracts but also enables a fundamental molecular-level understanding of the adsorption process. The resulting Fe-EA particles exhibited eminent malachite green (MG) removal performance, achieving high removal efficiency (over 86.4% within 10min), which was comparable to that of FeNPs derived from complex pomegranate extracts. Comprehensive characterizations (SEM, EDS, XRD, FTIR, XPS) confirmed that the particles consist of a Fe(II, III)-EA complex self-assembled into unique hollow spherical structures. Adsorption isotherm data were best described by the Langmuir model, indicating homogeneous monolayer adsorption and a maximum calculated capacity of 4149.4mg (g Fe)-1. Thermodynamic parameters revealed that the adsorption process was spontaneous and endothermic. Combined with LC-MS analysis and kinetic studies, the primary removal mechanism was identified as a chemisorption process, governed by the synergy of strong electrostatic attraction and hydrogen bonding. This work provides molecular-level insights that shift the design of green-synthesized iron particles from empirical testing to rational engineering.

Detection of Malachite Green Residues in Aquatic Products Based on Fluorescence of Rare Earth Complexes

ABSTRACT Huge discharge of dying effluents and their high hazard impact represent a serious threat to the ecosystem. So, this article aims to eliminate the cationic dye malachite green (MG) from an aquatic medium. This study introduces a novel, green, and cost‐effective ball milling approach to synthesize nanomagneto‐graphene oxide (NMGO) nanocomposites with enhanced adsorption capacity for dye removal, showcasing superior performance compared to conventional methods. Characterization of NMGO nanosorbent was performed via X‐ray diffractometer, high‐resolution transmission electron microscopy, scanning electron microscopy linked to electron dispersive X‐ray, Fourier transform infrared spectroscopy, and vibrating sample magnetometer measurements. The maximum MG dye adsorption capacity of NMGO nanosorbent was evaluated as a function of ball milling time interval, Fe 3 O 4 percentage, solution pH, dye concentration, temperature, NMGO dosage, and agitation time. Several mathematical isothermal and kinetic simulations were employed to model the data obtained from experiments and evaluate the superior adsorption abilities of NMGO (in mg/g). The NMGO nanocomposite exhibited a high dye removal capacity, achieving up to 300 mg/g (60%) of MG dye at optimal conditions. Kinetic modeling revealed that the adsorption process follows a pseudo‐second‐order model, with high correlation coefficients ( r 2 = 0.9999). A Langmuir isothermal monolayer was achieved. In thermodynamics expressions, the capturing of MG dye by NMGO was spontaneous (− ΔG° ), exothermic (+ ΔH° ), and highly random at the boundary of phases (+ ΔS° ). In addition, NMGO sorbent exhibited excellent uptake of dye, and preparation of NMGO by ball milling route can remarkably increase he removal capacity of the NMGO towards MG dye removal from aquatic solutions.

The development of efficient photocatalysts is crucial for environmental remediation of toxic organic dyes. In this work, covalent organic framework (BTTA COF)-coupled, Au-incorporated BiVO4 nanosheets (BTTA/Au-BVNS) were synthesized and applied for the degradation of methylene blue (MB) and malachite green (MG). Compared to BiVO4 nanoparticles, BiVO4 nanosheets exhibited superior photocatalytic activity, which was further enhanced by the incorporation of Au and BTTA COF. The optimized 3BTTA/3Au-BVNS nanocomposite achieved a 3.36-fold increase in MB degradation and a 3.0-fold increase in MG degradation relative to pristine BiVO4 nanosheets. The presence of Au reduced the band gap from 2.23 to 2.01 eV through surface plasmon resonance, while BTTA COF coupling increased surface area and facilitated charge separation. Electrochemical analyses confirmed improved charge transfer and stability of the composite. These synergistic modifications significantly enhanced photocatalytic performance, underscoring the potential of COF-supported, plasmonic-assisted BiVO4 systems as advanced materials for wastewater treatment and sustainable environmental protection.

Machine learning-assisted Eu-MOF fluorescent material for simultaneous monitoring and removal of malachite green.

RNA aptamer-packaged virus-like particles for label-free, rapid, and on-site fluorescence detection of malachite green in aquatic products.

Lignocellulosic waste-derived hydrochar@bimetallic composites via hydrothermal carbonization for rapid and reusable removal of cationic and anionic dyes.

Magnetic nanoporous carbon-based self-enriched and self-cleaning recyclable substrate Co/C@Ag/g-C3N4 for SERS detection and photocatalytic degradation of malachite green.

PEI-grafted graphene oxide modified phosphogypsum for the adsorption and removal of heavy metals and dyes in wastewater.

Synergistically active magnetic Fe3O4-VO2/polydopamine hydrogel for photocatalytic degradation of malachite green and tetracycline.

Reusable and self-calibrating SERS platform with Ag-incorporated Prussian blue for efficient detection and degradation of organic pollutants.

Engineered Plasmonic multi-hot spots on magnetic Nanospheres for quantitative detection of pesticide residues on food surfaces via SERS tagging analysis.

Solar-driven photocatalysis using a new ternary g-C3N4/AgCl/FeOCl heterojunction: Synthesis, characterization, and performance evaluation.

Abstract With increasing environmental pollution and the global energy crisis, developing advanced materials that can selectively capture pollutants and efficiently convert energy is crucial. A dual microenvironment strategy featuring polar interfacial groups and a supramolecular recognition cavity is reported. The integrated design enables both efficient dye adsorption and high‐performance energy storage. Cyclodextrin‐based metal–organic frameworks (CDMOFs) are rapidly grown on MXene nanosheets via a microwave‐assisted in situ method, forming a spatially organized architecture with functional complementarity. This CDMOF/MXene shows high selectivity toward malachite green (MG), achieving a maximum adsorption capacity of 960.3 mg g −1 . The performance arises from host–guest recognition within cyclodextrin cavities and enhanced adsorption from polar MXene surfaces. In lithium–sulfur (Li–S) batteries, the polar surface groups on MXene work synergistically with the oxygen‐rich cavities of CDMOF. This collaboration establishes a multistep mechanism of “recognition–immobilization–conversion,” which effectively suppresses polysulfide shuttling. Density functional theory (DFT) calculations confirm the interfacial synergy between the dual microenvironments. As a result, the assembled Li–S batteries exhibit remarkable cycling stability over 1000 cycles. This work demonstrates a generalizable approach for constructing multifunctional materials through interfacial engineering, offering valuable insights into the integration of pollutant capture and energy storage.