化学•材料最新文献

{"title":"Microfluidics in separation science: Fabrication, applications and intelligent systems","authors":"Listya Eka Anggraini ,&nbsp;Muhammad Naeem Younis ,&nbsp;Mohammed A. Abdalmwla ,&nbsp;Ghadeer Ghannam Alharbi ,&nbsp;Khaoula El Yanboui ,&nbsp;Abdulaziz A. Al-Saadi ,&nbsp;Chanbasha Basheer","doi":"10.1016/j.chroma.2026.466852","DOIUrl":"10.1016/j.chroma.2026.466852","url":null,"abstract":"<div><div>The emergence of advanced, innovative microfluidic devices has reshaped analytical separation methodologies and biomolecular diagnostics by introducing highly integrated, miniaturized systems that enable next-generation fluid manipulation, enhanced automation, precision, cost efficiency, and high-throughput capabilities. Advances in fabrication methods, such as soft lithography, photolithography, and 3D printing, have enabled the production of customizable microfluidic platforms from materials such as PDMS, glass, and thermoplastics. These microfluidic systems support a range of analytical functionalities of the technologies, including gas chromatography (GC), high-performance liquid chromatography (HPLC), and electrophoresis, delivering rapid, high-resolution analyses with minimal sample and reagent requirements, quicker analysis, and enhanced uniformity and stability, facilitating high productivity screening, improved sensitivity and portability. Integration of micro-GC systems enables rapid, portable detection of volatile compounds, while microfluidic HPLC and electrophoresis provide precise biomolecular separations and real-time diagnostics. Recent advancements in artificial intelligence (AI) have now brought significant innovations in microfluidic devices, resulting in a new era of intelligent analytical separations, where machine learning algorithms and neural networks are applicable not only for data processing and pattern recognition but also for real-time optimization, anomaly detection, innovative read-out systems, and autonomous system control. The fusion of AI and microfluidics has enabled new approaches to dynamic experimentation, reshaping traditional microfluidics and personalized diagnostics and health care systems, where rapid, reliable analysis is paramount. In this review article, we comprehensively explain the progressive convergence of microfluidics and AI across various electrophoretic and chromatographic analytical separation techniques, elaborating on the latest technological innovations, fundamental fabrication strategies, and emergent applications. The article also presents a forward-looking perspective on how AI-enabled microfluidics enhances automation, scalability, and application-specific customization, which could shape the future of intelligent analytical separation systems.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1774 ","pages":"Article 466852"},"PeriodicalIF":4.0,"publicationDate":"2026-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative applications and future challenges of shape memory scaffolds for functional reconstruction in diseases of the musculoskeletal system","authors":"Zhengguang Pu ,&nbsp;Wang Gong ,&nbsp;Haoming Wu ,&nbsp;Hao Zhou ,&nbsp;YiXuan Lan ,&nbsp;Yingying Chen ,&nbsp;Xiuxing Liu ,&nbsp;Zhineng Lu ,&nbsp;Xiaoyu Du ,&nbsp;Xinlei Yang ,&nbsp;Shuhao Yang ,&nbsp;Wanyue Feng ,&nbsp;Chao Peng ,&nbsp;Hai Lan ,&nbsp;Xulin Hu","doi":"10.1016/j.colsurfb.2026.115426","DOIUrl":"10.1016/j.colsurfb.2026.115426","url":null,"abstract":"<div><div>Musculoskeletal disorders (MSDs), such as osteoporosis, cartilage degeneration, and tendon injuries, are common worldwide and have a significant impact on patients' quality of life. These conditions are frequently associated with aging, trauma, or chronic diseases. They are typically characterized by slow and limited self-repair, particularly in tissues like cartilage and tendons, which exhibit low regenerative potential. Traditional treatment methods, such as implantable scaffolds, often face challenges related to incomplete tissue integration and inadequate adaptation to dynamic biomechanical conditions. Shape memory scaffolds (SMSs) have emerged as promising candidates for repairing musculoskeletal tissues, due to their unique ability to respond to external stimuli, such as temperature, light, and pH. These materials can adapt to irregular tissue defects and dynamically adjust to biomechanical requirements during the healing process, thereby potentially supporting tissue regeneration. This review discusses the advantages of SMSs in musculoskeletal system reconstruction, emphasizing their mechanical responsiveness, adaptability, and bioactive potential. Furthermore, recent advancements in SMS-based scaffolds and the role of 4D printing in enhancing their functionality are systematically reviewed. Finally, we propose future research directions aimed at enabling more effective and personalized treatments for MSDs.</div></div>","PeriodicalId":279,"journal":{"name":"Colloids and Surfaces B: Biointerfaces","volume":"261 ","pages":"Article 115426"},"PeriodicalIF":5.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances and challenges in deep eutectic solvents pretreatment technologies for bioethanol production from lignocellulosic biomass: A comprehensive review","authors":"Novia Novia ,&nbsp;Asyeni Miftahul Jannah ,&nbsp;Elda Melwita ,&nbsp;Ahmad Fudholi ,&nbsp;Vishnu K. Pareek","doi":"10.1016/j.rser.2026.116752","DOIUrl":"10.1016/j.rser.2026.116752","url":null,"abstract":"<div><div>The increasing demand for sustainable, renewable energy sources is the primary driver of bioethanol production from lignocellulosic biomass (LCB). In this context, Deep Eutectic Solvents (DES) have emerged as a novel, eco-friendly alternative, offering low toxicity, biodegradability, adjustable properties, and a significant lignin solubilization capability compared to traditional pretreatment methods. Therefore, this article thoroughly reviews recent developments in DES pretreatment technologies, including design and formulation, biomass fractionation mechanisms, and impacts on enzymatic hydrolysis, including fermentation efficiency. Several choline chloride-based and natural DES types have considerably enhanced cellulose accessibility and bioethanol production. However, significant challenges persist, such as the need for economical DES synthesis, effective solvent recovery, and scalable processes for industrial applications. The interaction of these solvents with enzymes and microbial systems necessitates further investigation to optimize integrated bioprocesses. Overcoming these challenges through innovative research and process optimization would facilitate the widespread implementation of DES pretreatment. As a result, this enhanced bioethanol production's sustainability, efficiency, and economic viability.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"231 ","pages":"Article 116752"},"PeriodicalIF":16.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineered dialdehyde dextran/quaternized chitosan hydrogel incorporating myricetin nanoparticles for diabetic oral wound management","authors":"Xiaoqian Du ,&nbsp;Huijie Zhang ,&nbsp;Bo Li ,&nbsp;Wei Dong ,&nbsp;Shengye You","doi":"10.1016/j.colsurfb.2026.115421","DOIUrl":"10.1016/j.colsurfb.2026.115421","url":null,"abstract":"<div><div>Conventional management of diabetic mouth ulcers often demonstrates limited efficacy. Primary obstacles to recovery encompass microbial colonization, damage from reactive oxygen species, and deficient blood vessel development. To meet this significant clinical challenge, an injectable hydrogel biomaterial termed DQM1 has been developed, specifically designed for promoting tissue regeneration in diabetic oral wounds. This composite construct comprises an interconnected polysaccharide network combining dialdehyde dextran and quaternized chitosan, strengthened through myricetin nanoparticles generated via magnesium ion-driven myricetin self-assembly. Post-injection, DQM1 rapidly establishes a protective hydrogel barrier. The dressing demonstrates potent antimicrobial activity coupled with effective scavenging of detrimental reactive species. Collective actions transform the injury environment from a chronically inflamed state to an active rebuilding phase. A significant benefit involves inherent post-treatment biodegradability, guaranteeing complete elimination after fulfilling its regenerative function. Outcomes from laboratory studies and animal models demonstrate that DQM1 markedly enhances oral mucosal wound healing. As an innovative therapeutic platform, such hydrogel-based technology presents considerable potential as a solution for diabetic oral lesions, thereby improving patient prognoses in this complex disorder.</div></div>","PeriodicalId":279,"journal":{"name":"Colloids and Surfaces B: Biointerfaces","volume":"261 ","pages":"Article 115421"},"PeriodicalIF":5.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rationally designed BTO@MSN@PPy-PEG piezoelectric nanozyme for ultrasound/NIR-triggered synergistic piezodynamic-photothermal-chemo tumor therapy","authors":"Yunxia Hu ,&nbsp;Yangbei Zhu ,&nbsp;Lijie Liu ,&nbsp;Jiaxuan Guo ,&nbsp;Wenjie Gao ,&nbsp;Lei Tian ,&nbsp;Shige Wang ,&nbsp;Chengzheng Jia","doi":"10.1016/j.colsurfb.2025.115409","DOIUrl":"10.1016/j.colsurfb.2025.115409","url":null,"abstract":"<div><div>Conventional monotherapies for tumors face significant challenges due to their limited therapeutic efficacy and considerable side effects, which severely impede their broad clinical application. To overcome the advancement of multimodal synergistic treatment strategies, integrating diverse treatment modalities with complementary mechanisms has emerged as a crucial approach to enhance the therapeutic outcomes of tumors. In this context, we developed a multifunctional nanoplatform, designated as BaTiO₃@MSN@PPy-PEG Nanoparticles (BMPP NPs), which can be activated by a combination of ultrasound and near-infrared (NIR) laser irradiation. This nanoplatform is centered around the piezoelectric material barium titanate (BTO), employs a mesoporous silica (MSN) coating for efficient encapsulation of the chemotherapeutic agent curcumin (Cur), and is further modified with polypyrrole (PPy) and polyethylene glycol (PEG) to confer both excellent photothermal conversion capability and enhanced biocompatibility. The synergistic interplay among the ultrasound-induced piezoelectric effect, NIR laser-triggered photothermal therapy, and MSN-mediated drug release results in a novel triple-modal therapy—piezoelectric dynamic, photothermal, and chemo. This integrated strategy effectively suppresses tumor growth and facilitates tumor ablation, holding great promise for future cancer therapeutics.</div></div>","PeriodicalId":279,"journal":{"name":"Colloids and Surfaces B: Biointerfaces","volume":"261 ","pages":"Article 115409"},"PeriodicalIF":5.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing properties of damaged hair through moisture control via construction of highly hydrophobic surface","authors":"Fubing Liu ,&nbsp;Chaohai Li ,&nbsp;Jinhua Li ,&nbsp;Jing Wang ,&nbsp;Kuan Chang","doi":"10.1016/j.colsurfb.2026.115427","DOIUrl":"10.1016/j.colsurfb.2026.115427","url":null,"abstract":"<div><div>Hair dyeing and perming processes damage could significantly reduce the stability and mechanical properties of keratin, making hair rough and fragile. Different hair repair ingredients have been developed by strengthening the chemical bonds inside hair. In this work, a new repair strategy of altering hair water content by construing highly hydrophobic surface was proposed. This was achieved by treating damaged hair with maleic-modified amino silicone oil (MASO), which was synthesized through the amidation reaction of maleic acid with poly[dimethylsiloxane-co-(3-aminopropyl)methylsiloxane] (ASO). Due to the thiol-Michael click reaction with free thiol groups on reduced hair surface, MASO presented high deposition efficiency at a low dosage of 0.1 wt%, which was confirmed by SEM and contact angle measurements. After MASO treatment, hair forms a highly hydrophobic surface with a contact angle of 137 °, significantly higher than that of virgin hair. The highly hydrophobic surface hinders the penetration of moisture into the hair, especially reducing the bound water content from 4.46 % to 2.81 %. This was jointly proven by the disappearance process of water droplets on hair strands, TGA testing, and DVS testing. The reduced water content in MASO-treated hair significantly lowered the combing work, with the wet combing work decreasing from 336.12 J to 43.52 J, giving a 87.05 % decrease, and enhanced the thermal stability of keratin, ultimately increasing Young's modulus and tensile strength by 13.99 % and 9.13 %, respectively. This finding demonstrates that the impact of water on tensile properties can even exceed the adverse effects caused by the breakage of disulfide bonds for reduce damaged hair.</div></div>","PeriodicalId":279,"journal":{"name":"Colloids and Surfaces B: Biointerfaces","volume":"261 ","pages":"Article 115427"},"PeriodicalIF":5.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145915412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blue energy evolution: A full-spectrum review of wave harvesting technologies for unmanned ocean vehicles","authors":"C. Thangavel,&nbsp;A. Arockia Selvakumar,&nbsp;K. Karunamurthy","doi":"10.1016/j.rser.2026.116782","DOIUrl":"10.1016/j.rser.2026.116782","url":null,"abstract":"<div><div>The increasing demand for sustainable and long durability power solutions of Unmanned Ocean Vehicles (UOVs) such as Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), gliders, drifting buoys, and profiling floats has propelled the research into wave energy harvesting (WEH) methods. This review projects the evolution of Wave Energy Converters (WECs) from their initial mechanical designs to the latest hybrid systems that integrate various methods of energy harvesting. It assesses past milestones, current technological architectures, and upcoming innovations for oceanic autonomous platforms, highlighting design aspects such as miniaturization, hydrodynamics, durability, energy storage and adaptive control. Critical issues including variable oceanic conditions, attachment of barnacles, biofouling, corrosion, low energy density and scalability hurdles are discussed alongside mitigation strategies. Future developments point to hybrid multi source energy harvesting, AI enabled power management, bioinspired designs, and offshore micro-grid docking systems to achieve maintenance free ocean operations. This review places WEH as a transformative enabler for future generation UOVs, unlocking extended autonomy and supporting global efforts for sustainable ocean observation, resource exploration, and marine security.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"231 ","pages":"Article 116782"},"PeriodicalIF":16.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review on improved neural network algorithms for battery state of energy estimation in smart grids","authors":"Shunli Wang ,&nbsp;Yu Fu ,&nbsp;Wenxia Zhang ,&nbsp;Carlos Fernandez ,&nbsp;Frede Blaabjerg","doi":"10.1016/j.rser.2026.116797","DOIUrl":"10.1016/j.rser.2026.116797","url":null,"abstract":"<div><div>Efficient and accurate state of energy (SOE) estimation is essential for the efficient operation and optimal management of smart grid energy storage systems (ESS). As lithium-ion batteries become the mainstream energy storage technology, their complex and nonlinear behavior under different operating conditions poses significant challenges for SOE estimation. This paper analyzes the promising application prospects of feedforward neural networks (FNNs), recurrent neural networks (RNNs) and their variants (long short-term memory networks (LSTMs), gated recurrent units (GRUs)), convolutional neural networks (CNNs), and hybrid models. It simultaneously explores data acquisition and preprocessing techniques, performance evaluation metrics, and practical application scenarios, identifying core challenges such as data sparsity, model interpretability, and computational efficiency. Future research directions are proposed, including advanced hybrid modeling, online adaptation, and edge computing integration. Although numerous existing reviews have validated the effectiveness of various neural network algorithms in SOE estimation, most studies focus primarily on algorithm types. Therefore, this paper systematically examines the adaptability and limitations of various algorithms. Based on a comprehensive analysis of specific smart grid scenarios with diverse requirements, this paper explores how to evaluate, select, and optimize neural network algorithms to achieve the optimal balance between estimation accuracy, efficiency, and robustness. Furthermore, through a holistic analysis of existing research, this paper bridges the gap between technical principles and practical applications, providing researchers with more targeted decision-making references.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"231 ","pages":"Article 116797"},"PeriodicalIF":16.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A benchmark model for power system restoration studies: Review and application","authors":"T. Skrjanc ,&nbsp;L. Herman ,&nbsp;D. Virginillo ,&nbsp;A. Derviškadić ,&nbsp;G. Torresan ,&nbsp;R. Mihalic ,&nbsp;U. Rudez","doi":"10.1016/j.rser.2026.116787","DOIUrl":"10.1016/j.rser.2026.116787","url":null,"abstract":"<div><div>Recent widespread blackouts in Europe (e.g., the Iberian Peninsula) and worldwide (e.g., Chile) have highlighted the critical importance of robust restoration processes. Traditionally, restoration has relied on synchronous generators and predefined strategies, which have been only partially tested in practice and mainly evaluated with simulators capturing basic system dynamics. The changing grid environment raises question of how these strategies can be further improved. The increasing dominance of inverter-based resources introduces reduced inertia, new dynamic interactions, and greater uncertainty from variable renewable generation. This motivates a re-evaluation and new study of existing restoration approaches. International efforts have proposed updated restoration guidelines and explored advanced technologies such as battery energy storage systems, grid-forming inverters, and high-voltage direct current systems. Yet, despite the growing importance of managing dynamics in the delicate restoration phase, field testing remains limited. This highlights the need for a benchmark restoration model. As a first step toward such a model, this paper reviews existing restoration processes, identifies technical challenges, and develops a simulation framework including key network components typically available during restoration. The model enables scenario-based testing of both conventional and advanced strategies, supporting a better understanding of dynamic behaviour and system stability. The proposed model has been implemented for EMT and RMS simulations using both commercial tools (PowerFactory, PSCAD) and non-commercial tools under development. By providing a flexible platform, it bridges the gap between research and practice, supporting system operators, researchers, and policymakers in designing more resilient and adaptive restoration strategies for future power systems.</div></div>","PeriodicalId":418,"journal":{"name":"Renewable and Sustainable Energy Reviews","volume":"232 ","pages":"Article 116787"},"PeriodicalIF":16.3,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multifunctional nanozyme-mediated synergistic activation of cuproptosis, ferroptosis, and pyroptosis for potent antitumor therapy","authors":"Yuxin Tian ,&nbsp;Junfeng Ke ,&nbsp;Min Yang ,&nbsp;Ping Gong ,&nbsp;Fuchen Xin ,&nbsp;Liping Wang","doi":"10.1016/j.colsurfb.2026.115415","DOIUrl":"10.1016/j.colsurfb.2026.115415","url":null,"abstract":"<div><div>Novel forms of programmed cell death are pivotal in regulating tumor progression and therapeutic response; however, single-mode cell death induction often fails to overcome apoptotic escape and drug resistance of tumor cells. This study designed and synthesized a multifunctional nanozyme, ZIF-8/Cu/Fe@GOx (ZCFG), to synergistically inhibit tumor cell growth via cuproptosis/ferroptosis/pyroptosis. Its compensatory mechanisms collectively overcome tumor cell characteristics such as apoptotic escape and drug resistance. Leveraging its multi-enzyme-like activity, ZCFG achieves self-sustained H₂O₂ production, massive glutathione (GSH) depletion, and hydroxyl radical (·OH) bursts to induce tumor cell death. Furthermore, copper and iron ions overload induce metabolic disruption and mitochondrial dysfunction, triggering abnormal aggregation of dihydrolipoamide S-acetyltransferase (DLAT), loss of Fe-S cluster proteins, and accumulation of lipid peroxides to induce cuproptosis and ferroptosis in tumor cells. Notably, the intracellular reactive oxygen species (ROS) bursts and zinc ion overload synergistically activate the caspase-1/GSDMD-dependent pyroptosis pathway, which further amplifies the antitumor effects of cuproptosis and ferroptosis, achieving mutually reinforcing therapeutic effects. This work provides a novel therapeutic strategy for tumor treatment by constructing a cascade-catalyzed nanozyme platform that mediates multimodal synergistic antitumor therapy via cuproptosis, ferroptosis, and pyroptosis.</div></div>","PeriodicalId":279,"journal":{"name":"Colloids and Surfaces B: Biointerfaces","volume":"261 ","pages":"Article 115415"},"PeriodicalIF":5.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145975457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}