文献类型：期刊文献

英文题名：Correction to "Fabrication of a Congo Red/Chitosan@Melamine sponge composite for efficient U(VI) removal: Adsorption behavior, mechanistic insights, and machine learning-assisted performance modeling"(Desalination, (2026), (120436), (S0011916426005928), 10.1016/j.desal.2026.120436)

作者：Lu, Lihong[1]; Yang, Fang[1]; Zhong, Xingyu[1]; Shi, Hongfa[1]; Zhang, Junran[1]; Liu, Xin[1]; Zhang, Wenqing[1]; Zhang, Lingfan[1,2]

机构：[1] School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Research Center of Analysis and Test, East China University of Science and Technology, Shanghai, 200237, China

年份：2026

外文期刊名：Desalination

收录：EI(收录号：20262620978743)

语种：英文

摘要：Water is the foundation upon which human survival depends, sustaining the stability of ecosystems and enabling sustainable social development [1–3]. However, with accelerating industrialization and societal progress, global water quality has deteriorated sharply, rendering water pollution a major threat to ecological security and public health [4]. Among these challenges, nuclear contamination arising from the development of nuclear technology is particularly prominent. Uranium wastewater generated from nuclear fuel use and uranium mining, and nuclear power plant operations is particularly hazardous due to its combined radioactivity and biological toxicity. Uranium exhibits high environmental mobility and bioaccumulation potential; its direct discharge can irreversibly damage aquatic ecosystems and, through the food chain, endanger critical human organs such as the kidneys and liver [5,6]. Although the urgent need to address uranium pollution is clear, the efficient separation of U(VI) from nuclear wastewater-characterized by complex matrices, interfering coexisting ions, and low uranium concentrations-remains a formidable technical challenge [7–9]. A variety of technologies have been developed for uranium extraction from water, among which adsorption is recognized among the preferred approaches for U(VI) removal due to its operational simplicity, low energy consumption, high selectivity, excellent removal efficiency, and cost-effectiveness. The performance of adsorption technology fundamentally depends on the adsorbent material, which must exhibit high selectivity, chemical and structural stability, high adsorption capacity, fast adsorption kinetics, good regenerability, and favorable environmental compatibility to be suitable for application in complex real-world water environments [10–12]. In response to these requirements, researchers have recently developed various advanced uranium adsorbents, including metal-organic frameworks, porous organic polymers, bio-based polymers, and carbon-based materials [13–16]. Among these, bio-based polymer adsorbents, as sustainable and green materials, have turned into a prominent research area in environmental remediation. Bio-based polymers offer advantages such as abundant raw materials, low cost, non-toxicity, renewability, and excellent biocompatibility in aquatic environments, positioning them as promising candidates for adsorbent materials [17]. Chitosan is a natural polysaccharide employed as a bio-based adsorbent, featuring abundant hydroxyl moieties and amino along its molecular chains that can generate stable coordination interactions with U(VI), thereby serving as effective adsorption active sites [18]. However, pure chitosan suffers from drawbacks such as low specific surface area, poor water stability, and insufficient physical strength, which limit its practical application. To address these limitations, current research has primarily focused on chemical modification, crosslinking, and composite construction of chitosan, including strategies such as phosphate functionalization, ionogel crosslinking, and amino acid substitution, aiming to enhance its adsorption performance and structural stability [9,19]. In parallel, three-dimensional porous sponge materials, exemplified by melamine sponge, have shown considerable application potential in wastewater treatment owing to their high specific surface area, interconnected pore architecture, ease of solid-liquid separation, and good reusability, making them ideal supports for loading functional chitosan components [20]. Congo red is an anionic azo dye widely used in the textile industry. Its molecular structure contains abundant amino and sulfonic acid active groups, and it is extensively employed for dyeing cellulose-based materials such as cotton, linen, and paper due to its good water solubility, excellent dyeing performance, and stable coloring effects. Nevertheless, Congo red is also a typical organic pollutant in dye wastewater, and its indiscriminate discharge can further aggravate water pollution [21]. Despite the progress made in the development of chitosan-based composite materials, the modification of chitosan with organic waste dyes for removal uranium has not yet been reported. In addition to experimental and mechanistic analyses, machine learning has emerged as an important auxiliary tool in adsorption research, demonstrating proven reliability and versatility in tasks such as regression, classification, and clustering, with established applicability in process optimization, reaction regulation, and materials synthesis [22]. ? 2026 Elsevier B.V.