Microchemical Journal最新文献

{"title":"Stereospecific method for separation and quantification of Ezetimibe and its stereoisomers using ultra-performance convergence chromatography (UPC2)","authors":"Saravana Kumar Meganathan ,&nbsp;Bijaya Ketan Sahoo ,&nbsp;Ch. Satyam ,&nbsp;K. Rajani ,&nbsp;Jagan Mohan Reddy Sanapureddy ,&nbsp;K.M.V. Narayana Rao","doi":"10.1016/j.microc.2026.117136","DOIUrl":"10.1016/j.microc.2026.117136","url":null,"abstract":"<div><div>Chirality plays a pivotal role in pharmaceutical efficacy and safety, necessitating precise analytical methods for determining enantiomeric purity. This becomes critically important when a chiral drug is intended for commercialization as a single enantiomer. However, in some cases, there is no significant advantage in doing so, and the drug is commercialized as a racemate instead. Ezetimibe, a lipid-lowering agent, exists in multiple stereoisomeric forms, each potentially exhibiting distinct pharmacological and toxicological profiles. In this study, a rapid and environmentally sustainable supercritical fluid chromatography (SFC) method was developed and validated for the quantification of five key ezetimibe stereoisomers: SSS-EZT, RSR-EZT, SSR-EZT, RRS-EZT, and RRR-EZT. Optimal separation was achieved using a coated amylose-C Neo [amylose tris(3,5-dimethylphenylcarbamate)] chiral stationary phase under isocratic conditions with CO₂ and a 35:65 (<em>v</em>/v) isopropanol: methanol mixture as organic modifier. The method demonstrated excellent resolution (Rs ≥ 1.5) within 30 min, significantly reducing analysis time compared to the USP-specified RPLC method. Validation in accordance with ICH guidelines confirmed the method's reliability, with correlation coefficients &gt;0.990 and recovery rates ranging from 93% to 108%. Precision was &lt;5.0% at 50% level and &lt; 2.0% at 100% (SSR-EZT, RSR-EZT, and RRR-EZT at 5 μg/mL, SSS-EZT at 10 μg/mL, and RRS-EZT at 20 μg/mL) and 150% levels. The developed method was successfully applied to the analysis of ezetimibe samples, yielding results (±0.02%) in close agreement with the USP reference method. Furthermore, the analytical method greenness score (AMGS) further confirmed the approach's environmental sustainability. This SFC method offers a robust, efficient, and green alternative for routine stereoisomeric purity analysis of ezetimibe in pharmaceutical development and quality control.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117136"},"PeriodicalIF":4.9,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090522","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":"Next-generation biodegradable sensors: A roadmap toward zero-waste electronics","authors":"C. Jeyalakshmi ,&nbsp;M. Parameswari ,&nbsp;V. Vaidehi ,&nbsp;B. Muthukumaran ,&nbsp;K. Jayamoorthy","doi":"10.1016/j.microc.2026.117139","DOIUrl":"10.1016/j.microc.2026.117139","url":null,"abstract":"<div><div>The rapid proliferation of electronic gadgets has exacerbated the global e-waste situation, necessitating immediate demand for sustainable alternatives. Biodegradable sensors, designed for temporary operation and safe disintegration, present an effective answer by integrating technology advancement with ecological stewardship. This review delineates a thorough framework for next-generation biodegradable sensors, analyzing progress in materials (biodegradable polymers, natural proteins, metals, and semiconductors), eco-friendly fabrication methods (printing, casting, roll-to-roll techniques), and application areas including biomedical diagnostics, agricultural monitoring, food safety, and environmental sensing. The primary difficulties of material-device compatibility, regulated deterioration, biocompatibility, and economic scalability are thoroughly examined. The review additionally examines prospective avenues for AI-assisted design, wireless bioresorbable devices, and the incorporation of circular economy ideas. This initiative seeks to expedite the advancement of sustainable, zero-waste electronic technologies by integrating materials research, fabrication engineering, and system-level deployment.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117139"},"PeriodicalIF":4.9,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090619","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":"Laser-induced UiO-66-derived ZrO2-ZrC-graphene sensor for sensitive detection of chlorogenic acid in food samples","authors":"Jiaqi Geng ,&nbsp;Yanxin Lv ,&nbsp;Zhitan Huang ,&nbsp;Faman Lin ,&nbsp;Neha ,&nbsp;Brij Mohan ,&nbsp;Wei Sun","doi":"10.1016/j.microc.2026.117108","DOIUrl":"10.1016/j.microc.2026.117108","url":null,"abstract":"<div><div>Chlorogenic acid (CGA), a dietary polyphenol with antioxidant and therapeutic benefits, can be harmful at high concentrations, necessitating sensitive detection in food. This study presents a ZrO₂-ZrC-doped laser-induced graphene (ZrO₂-ZrC-LIG) electrode prepared via a one-step laser carbonization of UiO-66/polyimide film. Structural analysis reveals a three-dimensional porous network with uniformly dispersed ZrO₂ and ZrC nanoparticles in graphene, which increases defect density, conductivity and surface area. The optimal conditions of laser-induced parameters such as power and carving depth for the electrode fabrication were selected. Under the optimal conditions, the electro-oxidation of CGA on the ZrO₂-ZrC-LIG electrode was carefully investigated with electrochemical parameters calculated. The presence of ZrO₂, ZrC and LIG exhibited an enhancement to the CGA oxidation with a pair of well-define redox peaks appeared, which was attributed to the faster electron transfer, higher electrocatalytic activity and synergistic effects. When integrated with a wireless portable electrochemical workstation, the fabricated sensor shows excellent analytical performance for CGA detection, including a wide linear range (0.1 μM to 1.0 mM), a low detection limit of 33 nM (3σ), along with high selectivity, stability, and reproducibility. When applied to apple and <em>Eucommia ulmoides</em> samples, it achieves the recoveries of 99.26–103.14%, confirming good analytical reliability. This simple and scalable method offers a promising strategy for developing flexible, portable electrochemical sensors for food safety and nutrition monitoring.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117108"},"PeriodicalIF":4.9,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090678","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":"Fabrication of disposable MIP-based electrochemical sensor for sensitive point-of-care determination of atomoxetine in pharmaceutical and biological samples","authors":"Mona T. Ragab,&nbsp;Aya A. Mouhamed,&nbsp;Amr M. Mahmoud,&nbsp;Aya T. Soudi","doi":"10.1016/j.microc.2026.117056","DOIUrl":"10.1016/j.microc.2026.117056","url":null,"abstract":"<div><div>Three potentiometric sensors were developed for atomoxetine (ATX) determination with progressive enhancements in sensitivity, stability, and selectivity. The sensors were fabricated sequentially as a non-imprinted polymer membrane on a screen-printed electrode (SPE/ISM(NIP)), a carbon nanotube-modified version (SPE/ISM(NIP/CNT)), and a molecularly imprinted polymer supported on carbon nanotubes (SPE/ISM(MIP/CNT)). The final MIP/CNT sensor combined selective molecular recognition with improved electrical conductivity, resulting in superior analytical performance. Structural characterization confirmed successful formation of the core–shell MIP architecture. The optimized sensor exhibited a wide linear range from 1.0 × 10⁻⁸ to 1.0 × 10⁻² M with a low detection limit of 5.01 × 10⁻⁹ M, along with excellent stability, minimal signal drift, and high selectivity towards ATX in the presence of pharmaceutical excipients and biological interferents. The sensor was successfully applied to ATX determination in syrup formulations, spiked human plasma, and urine, achieving recoveries between 99.71% and 102.44%. Notably, clinically relevant ATX plasma concentrations fall within the sensor's working range, highlighting its potential for on-site pharmaceutical analysis and therapeutic drug monitoring.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117056"},"PeriodicalIF":4.9,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057494","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":"Near-infrared spectroscopy coupled with chemometrics for content determination of Ganoderma lucidum extract in chewable gels","authors":"M. Bidegain ,&nbsp;R. Pereyra ,&nbsp;R. Romañach ,&nbsp;N. González Vidal ,&nbsp;M. Razuc","doi":"10.1016/j.microc.2026.117123","DOIUrl":"10.1016/j.microc.2026.117123","url":null,"abstract":"<div><div>Near-infrared (NIR) spectroscopy, coupled with chemometric techniques, has seen increased use in complex formulations; however, its implementation in semi-solid dosage forms containing multicomponent natural extracts remains limited. Chewable gels represent a particularly challenging case, as their structural heterogeneity, high water content, and strong light-scattering effects render spectral responses highly sensitive to measurement conditions.</div><div>The feasibility of applying NIR spectroscopy for quantitative content determination in chewable gels was investigated, with emphasis on the systematic evaluation and control of sources of spectral variability. Gelatin-based chewable gels containing a multicomponent Ganoderma lucidum extract (250–750 mg per unit) were used as a model system. The effects of sample handling, applied pressure at the measurement interface, and the use of an opaque cover on NIR spectral profiles were assessed using Principal Component Analysis and PERMANOVA across different spectral regions and preprocessing strategies. Sample handling conditions introduced statistically significant spectral variability, mainly affecting the first-overtone C<img>H stretching region (9000–7000 cm⁻¹). The combination of an opaque cover and slight pressure, together with Standard Normal Variate preprocessing, minimized non-chemical variability and improved dose discrimination.</div><div>Under optimized acquisition and preprocessing conditions, Partial Least Squares regression models demonstrated excellent predictive performance (R²val = 0.977, RPD = 6.9, RSEP = 4.1%) and high precision (RSD &lt; 2.1%). Prediction accuracy improved with matrix stabilization and remained robust for samples analyzed between 11 and 58 days after preparation.</div><div>This study demonstrates that accurate quantitative analysis by NIR spectroscopy is achievable in chewable gels containing chemically heterogeneous analytes, provided that matrix-related sources of spectral variability are explicitly identified and controlled.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117123"},"PeriodicalIF":4.9,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057496","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":"Early detection of major depressive disorder: mechanistic and diagnostic advances of DNA aptamer biosensors","authors":"Aishwarya Arvind,&nbsp;Nikita Yadav,&nbsp;Amit Singh,&nbsp;Pankaj Kumar,&nbsp;Mahima Kaushik","doi":"10.1016/j.microc.2026.117100","DOIUrl":"10.1016/j.microc.2026.117100","url":null,"abstract":"<div><div>Major Depressive Disorder (MDD) is a multifaceted psychiatric illness that remains difficult to diagnose early, due to its reliance on subjective clinical evaluations. Traditional diagnostic methods are largely based on symptoms reporting and interviews, which often overlook the underlying biological changes associated with the disorder. Increasing evidences suggest that molecular and biochemical biomarkers linked to MDD pathophysiology can enable more objective and quantitative diagnostic approaches. This review summarizes recent advances in conventional and emerging techniques for detecting MDD biomarkers, with a particular emphasis on aptamer-based biosensors (aptasensors). The design and operational principles of aptasensors are discussed, focusing on key transduction strategies, such as optical and electrochemical methods that offer high sensitivity and selectivity. Major biological pathways associated with MDD, including neuroendocrine imbalance, inflammatory signaling, and neurotransmitter dysregulation are examined to highlight the clinical relevance of target biomarkers. In addition, the mechanistic basis of aptamer-biomarker interactions is explored to clarify how molecular recognition events are translated into detectable signals. A comparative evaluation of aptasensors with other biosensing platforms and emerging diagnostic technologies is also presented, highlighting their advantages in specificity, stability, and suitability for miniaturized and point-of-care applications. Various aptasensors reported for major MDD biomarkers are reviewed and systematically compared according to their analytical and operational parameters. Finally, current translational challenges and future prospects for clinical implementation are discussed, emphasizing the potential of aptasensors in advancing MDD diagnosis and personalized care.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117100"},"PeriodicalIF":4.9,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057499","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":"Dual-mode colorimetric sensing detection of Cr(III) enabled by target-induced aggregation of α-Sulfophenylacetic acid-functionalized silver nanoparticles","authors":"Jinxin Ma ,&nbsp;Jieping Zheng ,&nbsp;Jiangyao Chen","doi":"10.1016/j.microc.2026.117120","DOIUrl":"10.1016/j.microc.2026.117120","url":null,"abstract":"<div><div>The rapid, on-site quantification of trivalent chromium (Cr(III)) is crucial for environmental risk assessment, yet conventional analytical methods are severely hampered by their reliance on bulky instrumentation. To address this challenge, we report a portable, dual-mode colorimetric sensing platform centered on the specific interaction between Cr(III) and α-sulfophenylacetic acid-functionalized silver nanoparticles (D-SFA-AgNPs). This interaction triggers the controlled aggregation of nanoparticles, resulting in a distinct yellow-to-gray color change and a significant red-shift in the localized surface plasmon resonance (LSPR) spectrum. To fully leverage this optical response, a low-cost, Arduino-based smart analyzer was engineered, integrating a Red-Green-Blue (RGB) colorimetric mode for rapid screening and a multi-channel spectral mode for trace analysis. Under optimized conditions, the platform achieved a rapid response (&lt; 1 min) with a linear dynamic range of 0.033–100 μg L⁻¹. The limit of detection (LOD) was determined to be 4.60 μg L⁻¹, which is significantly lower than the World Health Organization (WHO) guideline for drinking water (50 μg L⁻¹). Furthermore, analytical validation in real water samples demonstrated excellent spike recoveries (97.6%–107.6%) and high precision (RSD &lt; 5.9%), showing high consistency with the gold-standard inductively coupled plasma-mass spectrometry (ICP-MS) method. Consequently, by synergizing the Arduino-based open-source hardware with dual-mode sensing, this work provides a cost-effective solution for the point-of-need monitoring of Cr(III), holding great potential for environmental surveillance even in resource-limited areas.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117120"},"PeriodicalIF":4.9,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057495","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":"An electrophoretic microfluidic chip for efficient enrichment of broad-spectrum virus at trace-levels","authors":"Weihao Li ,&nbsp;Han Gao ,&nbsp;Mengqing Cheng ,&nbsp;Manman Lv ,&nbsp;Yemin Han ,&nbsp;Haotian Yu ,&nbsp;Weiming Lin ,&nbsp;Yan Huang ,&nbsp;Zuhong Lu ,&nbsp;Quanjun Liu","doi":"10.1016/j.microc.2026.117117","DOIUrl":"10.1016/j.microc.2026.117117","url":null,"abstract":"<div><div>Viral contamination poses significant risks in respiratory transmission, environmental exposure, and food safety. Accurate identification and quantification of viruses remain challenging, particularly in low-concentration and complex sample matrices. To address this, a high-efficiency and scalable electrophoretic microfluidic platform was developed for rapid enrichment and sensitive detection of negatively charged viral particles across diverse sample types. The device features a vertically layered microchannel design separated by a 0.8 μm porous membrane, combined with a multi-electrode configuration to generate a precisely controlled electric field. Numerical simulations were employed to optimize electrode layout and field distribution, effectively guiding virus particles from the sample to the enrichment channel under electrophoretic force. Under optimal conditions (30 V, 200 μL/h), the platform improved the RT-qPCR detection limits for H1N1 and SARS-CoV-2 by 2–3 orders of magnitude. The system demonstrated broad-spectrum compatibility, structural stability, and strong bio-compatibility, with potential for seamless integration into automated workflows. This work provides a versatile and effective strategy for virus preconcentration and detection in complex environments such as exhaled breath, ambient air, and drinking water.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117117"},"PeriodicalIF":4.9,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090436","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":"Ultra-sensitive fluorescent probe with large Stokes shift for precise fluoride detection: From water samples to bioimaging","authors":"Xiaolei Liu ,&nbsp;Xiaoxing Feng ,&nbsp;Hui Ma ,&nbsp;Deli Li ,&nbsp;Guoxin Sun ,&nbsp;Tianyong Zhang","doi":"10.1016/j.microc.2026.117085","DOIUrl":"10.1016/j.microc.2026.117085","url":null,"abstract":"<div><div>Fluoride ions are essential yet hazardous at elevated concentrations, necessitating precise monitoring tools. Fluorescent probes provide a superior alternative to traditional methods by eliminating the need for complex instruments, avoiding tissue damage, and allowing real-time, non-invasive sensing and imaging. In this work, we present a novel probe based on 2-(2,6-dimethyl-4<em>H</em>-pyran-4-ylidene)malononitrile for fluoride detection via a protection-deprotection strategy. The probe operates through a fluoride-triggered desilylation reaction, leading to fluorescence turn-on at 591 nm with a Stokes shift of 167 nm and stability across a pH range of 6.5–8.5. It demonstrates high selectivity (LOD = 5.9 nM) and fast response (&lt; 60 s) for fluoride and robustness against biological interferents, facilitating high-contrast imaging of fluoride dynamics in living cells. The investigation into the mechanism demonstrated that recognition arises from a steric hindrance-promoted intramolecular charge transfer process. Ultimately, the probe enabled precise fluoride detection in both water samples and biological systems, thus demonstrating its promise for real-time sensing applications.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117085"},"PeriodicalIF":4.9,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090612","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":"Artificial intelligence assisted chemometric analysis and microchemical characterization of sustainable performance enhancing sports materials","authors":"Xuemei Yu","doi":"10.1016/j.microc.2026.117114","DOIUrl":"10.1016/j.microc.2026.117114","url":null,"abstract":"<div><div>Optimizing the Performance Enhancement, Protection of Athletes, and Environmentally Sustainable Design of High-Performance Sports Products is critical for the Development of More Effectively Designed and Developed High-Performance Sports Products. Developing high-performance materials is an expensive and resource-consuming process that relies heavily on the empirical, trial-and-error-based development of chemical formulations, combination of both types of materials through repeated modification of physical and mechanical properties. While helpful, these traditional methods do not allow for integration into the life cycle analysis, or circular economy, of a finished product. This paper presents a new way to accelerate the development of environmentally sustainable, high-performance sports polymer and composite based materials utilizing Artificial Intelligence (AI) to enhance the integration of Chemical and Material Intelligence (ICMI). The ICMI framework takes multiple sources of data such as chemical composition, microstructure, and morphology, processing variables, temperature, pressure, and performance metrics both mechanically and environmentally, and integrates them into one machine learning (ML), or AI-based optimization system. The outcome is a data-oriented surrogate modelling system allowing for determining the relationship between composition, structure, physical properties and sustainability through a combination of data, as well as “explainable AI” models which identify key component, structural motifs and processing characteristics influencing in a large degree the attributes such as Stiffness, Impact, Energy Return, and Wear Resistance. Multi-objective optimization within this framework allows for the formulation of multiple candidates that meet durability, impact attenuation and functional comfort objectives while minimizing raw material intensity, embodied energy and end-of-life burdens. The use of case studies on midsole foams and protective padding demonstrates that predictive accuracy in mechanical properties, as well as a reduction in the experimental design space and a reduction in material usage and process energy demands, can be improved through this method. These findings demonstrate how AI-based Smart Material Intelligence can be leveraged to help speed the sustainable innovation of sports materials and provide a flexible framework for incorporating AI technology into the development of next-generation eco-efficient sports products.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117114"},"PeriodicalIF":4.9,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090539","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}