Pub Date : 2026-01-25DOI: 10.1016/j.microc.2026.117117
Weihao Li , Han Gao , Mengqing Cheng , Manman Lv , Yemin Han , Haotian Yu , Weiming Lin , Yan Huang , Zuhong Lu , Quanjun Liu
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.
{"title":"An electrophoretic microfluidic chip for efficient enrichment of broad-spectrum virus at trace-levels","authors":"Weihao Li , Han Gao , Mengqing Cheng , Manman Lv , Yemin Han , Haotian Yu , Weiming Lin , Yan Huang , Zuhong Lu , 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}
Pub Date : 2026-01-25DOI: 10.1016/j.microc.2026.117085
Xiaolei Liu , Xiaoxing Feng , Hui Ma , Deli Li , Guoxin Sun , Tianyong Zhang
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-4H-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 (< 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.
{"title":"Ultra-sensitive fluorescent probe with large Stokes shift for precise fluoride detection: From water samples to bioimaging","authors":"Xiaolei Liu , Xiaoxing Feng , Hui Ma , Deli Li , Guoxin Sun , 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 (< 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}
Pub Date : 2026-01-25DOI: 10.1016/j.microc.2026.117114
Xuemei Yu
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.
{"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}
Pub Date : 2026-01-24DOI: 10.1016/j.microc.2026.117090
Shuo Wang , Pei Xiong , Hualan Xu , Shengqian Wang , Yuner Lin , Yiqian Cheng , Xuechun Wu , Hua-Jiang Yu , Shengliang Zhong
The selective recognition of trace amounts of CrO₄2− and S₂O₄2− individually in aqueous solutions using a single metal-organic framework (MOF) platform has been scarcely explored. In this study, a ligand, 3,7-di(4-pyridyl) phenothiazine, was synthesized and employed to develop a zinc-based MOF (Zn-PTZpy) through a solvothermal process. The resulting Zn-PTZpy material exhibited strong luminescent characteristics. Acting as a dual fluorescent sensor for CrO₄2− and S₂O₄2−, Zn-PTZpy showed remarkable chemical stability and enabled highly selective detection of chromate ions (CrO₄2−) through a fluorescence quenching process, exhibiting a high Stern-Volmer quenching constant (Ksv) of 3.56 × 104 M−1. In addition, when Zn-PTZpy interacted with dithionite (S₂O₄2−) in aqueous solution, a pronounced fluorescence enhancement was observed, with an amplification constant (Ksv) of 6.69 × 103 M−1. The framework exhibited strong resistance to interference from other ions and achieved low detection limits of 0.09 μM for CrO₄2− and 0.12 μM for S₂O₄2−. Moreover, Zn-PTZpy demonstrated a rapid response, with detection times of 10 s for CrO₄2− and 3 min for S₂O₄2−. The Zn-PTZpy material exhibited remarkable effectiveness in real environmental and sample analyses, confirming its strong potential for practical applications. In addition, the Zn-PTZpy sensor achieved satisfactory recovery rates ranging from 93% to 111% when tested with spiked lake water samples. For the first time, this study presents the dual functional potential of Zn-PTZpy for applications in environmental monitoring.
{"title":"A phenothiazine metal-organic frameworks for highly efficient detection of trace S2O42−/CrO42−","authors":"Shuo Wang , Pei Xiong , Hualan Xu , Shengqian Wang , Yuner Lin , Yiqian Cheng , Xuechun Wu , Hua-Jiang Yu , Shengliang Zhong","doi":"10.1016/j.microc.2026.117090","DOIUrl":"10.1016/j.microc.2026.117090","url":null,"abstract":"<div><div>The selective recognition of trace amounts of CrO₄<sup>2−</sup> and S₂O₄<sup>2−</sup> individually in aqueous solutions using a single metal-organic framework (MOF) platform has been scarcely explored. In this study, a ligand, 3,7-di(4-pyridyl) phenothiazine, was synthesized and employed to develop a zinc-based MOF (Zn-PTZpy) through a solvothermal process. The resulting Zn-PTZpy material exhibited strong luminescent characteristics. Acting as a dual fluorescent sensor for CrO₄<sup>2−</sup> and S₂O₄<sup>2−</sup>, Zn-PTZpy showed remarkable chemical stability and enabled highly selective detection of chromate ions (CrO₄<sup>2−</sup>) through a fluorescence quenching process, exhibiting a high Stern-Volmer quenching constant (<em>K</em><sub><em>sv</em></sub>) of 3.56 × 10<sup>4</sup> M<sup>−1</sup>. In addition, when Zn-PTZpy interacted with dithionite (S₂O₄<sup>2−</sup>) in aqueous solution, a pronounced fluorescence enhancement was observed, with an amplification constant (<em>K</em><sub><em>sv</em></sub>) of 6.69 × 10<sup>3</sup> M<sup>−1</sup>. The framework exhibited strong resistance to interference from other ions and achieved low detection limits of 0.09 μM for CrO₄<sup>2−</sup> and 0.12 μM for S₂O₄<sup>2−</sup>. Moreover, Zn-PTZpy demonstrated a rapid response, with detection times of 10 s for CrO₄<sup>2−</sup> and 3 min for S₂O₄<sup>2−</sup>. The Zn-PTZpy material exhibited remarkable effectiveness in real environmental and sample analyses, confirming its strong potential for practical applications. In addition, the Zn-PTZpy sensor achieved satisfactory recovery rates ranging from 93% to 111% when tested with spiked lake water samples. For the first time, this study presents the dual functional potential of Zn-PTZpy for applications in environmental monitoring.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117090"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090530","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}
This study proposes a sucrose concentration detection sensor by using photonic crystal fiber (PCF) based on surface plasmon resonance (SPR) with an internal sensing mechanism. A gold layer is deposited in inner side of arc shaped microchannel across a solid core circular lattice to improve light matter interaction. The Finite Element Method (FEM) is used to evaluate the sensor's performance throughout a range of sucrose concentrations, from 0% to 50%. With a maximum wavelength sensitivity (WS) of 46,190.47 nm/RIU, an amplitude sensitivity (AS) of 1930.98 RIU−1, and an ultra-low detection resolution of 9.33 × 10−7 RIU, the simulation results demonstrate outstanding performance qualities of the proposed sensor. Further, a fabrication feasibility analysis confirms that the sensor is structurally stable even with ±5% variation in pitch, metal layer thickness and circular air hole diameter. Thus, the proposed sensor's high sensitivity and compact, fabrication-tolerant design make it a very promising tool for detecting sucrose concentrations specially in food, pharmaceutical, and biomedical industries.
{"title":"SPR-PCF sensor with internal arc-shaped microchannels for precise sucrose concentration detection","authors":"Srishti Singh , Dharmendra Kumar , Vijay Shanker Chaudhary , Santosh Kumar","doi":"10.1016/j.microc.2026.117102","DOIUrl":"10.1016/j.microc.2026.117102","url":null,"abstract":"<div><div>This study proposes a sucrose concentration detection sensor by using photonic crystal fiber (PCF) based on surface plasmon resonance (SPR) with an internal sensing mechanism. A gold layer is deposited in inner side of arc shaped microchannel across a solid core circular lattice to improve light matter interaction. The Finite Element Method (FEM) is used to evaluate the sensor's performance throughout a range of sucrose concentrations, from 0% to 50%. With a maximum wavelength sensitivity (WS) of 46,190.47 nm/RIU, an amplitude sensitivity (AS) of 1930.98 RIU<sup>−1</sup>, and an ultra-low detection resolution of 9.33 × 10<sup>−7</sup> RIU, the simulation results demonstrate outstanding performance qualities of the proposed sensor. Further, a fabrication feasibility analysis confirms that the sensor is structurally stable even with ±5% variation in pitch, metal layer thickness and circular air hole diameter. Thus, the proposed sensor's high sensitivity and compact, fabrication-tolerant design make it a very promising tool for detecting sucrose concentrations specially in food, pharmaceutical, and biomedical industries.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117102"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090528","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}
Pub Date : 2026-01-24DOI: 10.1016/j.microc.2026.117076
Yidan Zhang , Yuhua Lai , Yifei Ma , Lin Ge , Jinhua Liu
Since excess histamine (His) in seafood poses a significant health threat, the development of intelligent, on-site, and visual multimodal methods for detecting fish freshness has attracted widespread attention. In this study, we developed a Lewis base-induced paper-based chip coupled with smartphone RGB (Red Green Blue) recognition for the real-time colorimetric/fluorescent dual-mode detection of His in fish meat. The sensing mechanism was based on the catalytic role of His in rapidly forming a green fluorescent compound (GFC) from dopamine and 3-ethylamino-4-methylphenol. Interestingly, the introduction of 1% Tween (TW) 80 was found to significantly enhance the fluorescence signal and real-time stability of the system, achieving an exceptional detection limit of 16.67 nM for His. By immobilizing the GFC probe on Whatman 1 filter paper, a paper-based test strip for His was further developed. His quantification is achieved through RGB analysis with a smartphone, allowing visual and real-time assessment of fish meat freshness directly in the field. The developed sensor exhibits outstanding selectivity, stability, and sensitivity, and has been successfully applied to monitor His levels in fish meat samples (crucian, saury and golden pomfret) over time, providing a reliable means to prevent His poisoning. Therefore, this work presents a robust, low-cost, and user-friendly point-of-care testing platform that holds significant potential for applications in intelligent food monitoring and environmental sensing.
{"title":"A dual-mode paper-based chip for real-time detection of histamine in fish meat via Lewis base-induced in situ fluorescence system","authors":"Yidan Zhang , Yuhua Lai , Yifei Ma , Lin Ge , Jinhua Liu","doi":"10.1016/j.microc.2026.117076","DOIUrl":"10.1016/j.microc.2026.117076","url":null,"abstract":"<div><div>Since excess histamine (His) in seafood poses a significant health threat, the development of intelligent, on-site, and visual multimodal methods for detecting fish freshness has attracted widespread attention. In this study, we developed a Lewis base-induced paper-based chip coupled with smartphone RGB (Red Green Blue) recognition for the real-time colorimetric/fluorescent dual-mode detection of His in fish meat. The sensing mechanism was based on the catalytic role of His in rapidly forming a green fluorescent compound (GFC) from dopamine and 3-ethylamino-4-methylphenol. Interestingly, the introduction of 1% Tween (TW) 80 was found to significantly enhance the fluorescence signal and real-time stability of the system, achieving an exceptional detection limit of 16.67 nM for His. By immobilizing the GFC probe on Whatman 1 filter paper, a paper-based test strip for His was further developed. His quantification is achieved through RGB analysis with a smartphone, allowing visual and real-time assessment of fish meat freshness directly in the field. The developed sensor exhibits outstanding selectivity, stability, and sensitivity, and has been successfully applied to monitor His levels in fish meat samples (crucian, saury and golden pomfret) over time, providing a reliable means to prevent His poisoning. Therefore, this work presents a robust, low-cost, and user-friendly point-of-care testing platform that holds significant potential for applications in intelligent food monitoring and environmental sensing.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117076"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057498","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}
Pub Date : 2026-01-24DOI: 10.1016/j.microc.2026.116988
Chunxiao Li , Wenxiao Ye , Meihui Tan , Zuofan Li , Bing Zhang , Zeyuan Deng , Hongyan Li
Polygonatum odoratum (Mill.) Druce (PO), known as “Yuzhu” in Chinese, belongs to the Asparagaceae family and the Polygonatum genus. Unlike its congener Polygonatum sibiricum Delar. ex Redoute (known as “Huangjing” in Chinese), which has a characteristic numbing taste, the rhizomes of PO possess a natural sweetness. This quality makes them particularly well-suited for culinary preparations such as soups, teas, and congee. The results showed that after different steaming methods (steaming for 40 h, nine-steam-nine-bask, and steamed in vat) the contents of water extract (14.06% ∼ 90.21%), ethanol extract (7.53% ∼ 93.24%), crude fat (38.14% ∼ 46.05%), and crude polysaccharide (25.94% ∼ 46.96%) of PO decreased (p < 0.05). In contrast, the total phenol and total saponin content increased by 6.21 to 8.35-fold and 1.84 to 2.34-fold (p < 0.05). Simultaneously, the DPPH and ABTS radical scavenging rates also rose, by 1.87 to 2.49-fold and 1.11 to 2.18-fold, respectively (p < 0.05). Multivariate analysis of UPLC-ESI-QTOF-MS2 data indicated that PO steamed for 40 h or using the nine-steam-nine-bask method retained more nutrients and exhibited higher antioxidant capacity than PO steamed in a vat. Moreover, steaming for 40 h was superior to the nine-steam-nine-bask method in terms of component retention, generation of new compounds, process simplicity, and cost-effectiveness.
{"title":"Effects of different steaming methods on the composition and antioxidant capacity of Polygonatum odoratum (mill.) Druce: Based on UPLC-ESI-QTOF-MS/MS","authors":"Chunxiao Li , Wenxiao Ye , Meihui Tan , Zuofan Li , Bing Zhang , Zeyuan Deng , Hongyan Li","doi":"10.1016/j.microc.2026.116988","DOIUrl":"10.1016/j.microc.2026.116988","url":null,"abstract":"<div><div><em>Polygonatum odoratum</em> (Mill.) Druce (PO), known as “Yuzhu” in Chinese, belongs to the Asparagaceae family and the <em>Polygonatum</em> genus. Unlike its congener <em>Polygonatum sibiricum</em> Delar. ex Redoute (known as “Huangjing” in Chinese), which has a characteristic numbing taste, the rhizomes of PO possess a natural sweetness. This quality makes them particularly well-suited for culinary preparations such as soups, teas, and congee. The results showed that after different steaming methods (steaming for 40 h, nine-steam-nine-bask, and steamed in vat) the contents of water extract (14.06% ∼ 90.21%), ethanol extract (7.53% ∼ 93.24%), crude fat (38.14% ∼ 46.05%), and crude polysaccharide (25.94% ∼ 46.96%) of PO decreased (<em>p</em> < 0.05). In contrast, the total phenol and total saponin content increased by 6.21 to 8.35-fold and 1.84 to 2.34-fold (<em>p</em> < 0.05). Simultaneously, the DPPH and ABTS radical scavenging rates also rose, by 1.87 to 2.49-fold and 1.11 to 2.18-fold, respectively (<em>p</em> < 0.05). Multivariate analysis of UPLC-ESI-QTOF-MS<sup>2</sup> data indicated that PO steamed for 40 h or using the nine-steam-nine-bask method retained more nutrients and exhibited higher antioxidant capacity than PO steamed in a vat. Moreover, steaming for 40 h was superior to the nine-steam-nine-bask method in terms of component retention, generation of new compounds, process simplicity, and cost-effectiveness.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 116988"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146057497","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}
Pub Date : 2026-01-24DOI: 10.1016/j.microc.2026.117074
Kaiyang Chu , Xu Shen , Guijiang Duan
The quality of dairy products is of great significance to people's health. Many dairy enterprises cost a lot on the sampling inspection at the time of product delivery. If the company adopts mass sampling, the inspection cost will be very high. It is expected to reduce the sampling sample size as much as possible on the premise of ensuring that the problem product is detected. In this research, we propose the solution of precise detection by using consumer complaints as the intuitive feedback of product quality and make quality prediction before product delivery. First, monitoring information along the production line and consumer complaints information are collected and associated according to chronological orders. Secondly, neural networks are used to predict problematic products and to classify the types of quality issues by learning monitoring-compliant pairings. Finally, a specialized knowledge graph interface is developed to facilitate the operation of abnormal information entering and the obtention of prediction results. In practice, the prediction accuracy of product quality problem before delivery attains 92.7% and 90.4% for two kinds of milk, SIG and Tetra, which surpasses sampling inspection by over 10%. Besides, the knowledge graph interface shortens the quality problem record time by 34.5% and reduces the misinform rate by 57.1%. This work helps dairy engineers to discover potential problematic products before delivery, thus making the pre-delivery inspection more precise and reducing the quality management cost for dairy enterprises.
{"title":"Precise pre-delivery quality management of dairy products based on consumer feedback driven deep learning and knowledge graph","authors":"Kaiyang Chu , Xu Shen , Guijiang Duan","doi":"10.1016/j.microc.2026.117074","DOIUrl":"10.1016/j.microc.2026.117074","url":null,"abstract":"<div><div>The quality of dairy products is of great significance to people's health. Many dairy enterprises cost a lot on the sampling inspection at the time of product delivery. If the company adopts mass sampling, the inspection cost will be very high. It is expected to reduce the sampling sample size as much as possible on the premise of ensuring that the problem product is detected. In this research, we propose the solution of precise detection by using consumer complaints as the intuitive feedback of product quality and make quality prediction before product delivery. First, monitoring information along the production line and consumer complaints information are collected and associated according to chronological orders. Secondly, neural networks are used to predict problematic products and to classify the types of quality issues by learning monitoring-compliant pairings. Finally, a specialized knowledge graph interface is developed to facilitate the operation of abnormal information entering and the obtention of prediction results. In practice, the prediction accuracy of product quality problem before delivery attains 92.7% and 90.4% for two kinds of milk, SIG and Tetra, which surpasses sampling inspection by over 10%. Besides, the knowledge graph interface shortens the quality problem record time by 34.5% and reduces the misinform rate by 57.1%. This work helps dairy engineers to discover potential problematic products before delivery, thus making the pre-delivery inspection more precise and reducing the quality management cost for dairy enterprises.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117074"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090618","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}
Pub Date : 2026-01-24DOI: 10.1016/j.microc.2026.117084
Yating Xu , Chen Wang , Tingting Lei , Shaojing Zhao , Jiafu Xiao , Minhuan Lan
The widespread use of bismuth-based nanomaterials or drugs has increased the risk of human exposure to bismuth ions (Bi3+). Developing sensitive and selective methods to quantitatively detect Bi3+ is necessary. In this work, bright fluorescent carbon dots (CDs) with a narrow full width at half maximum of 28 nm and high fluorescent quantum yield of 54% was synthesized and used to sense Bi3+. The fluorescence of CDs was quenched by Bi3+ via electron transfer and aggregation-caused quenching mechanisms. A good exponential relationship between the fluorescent intensity of CDs and the concentration of Bi3+ ranged from 0.29 to 218 μM was observed. The limit of detection was 0.29 μM. Furthermore, the CDs were utilized to detect Bi3+ in real water samples, in which they achieved recovery rates of 99.4–108.9% with relative standard deviations below 8.0%. This CDs-based sensing platform is a simple and effective approach for rapid screening of Bi3+.
{"title":"Bright carbon dots with narrow emission bandwidth for broad-range detection of bismuth ions","authors":"Yating Xu , Chen Wang , Tingting Lei , Shaojing Zhao , Jiafu Xiao , Minhuan Lan","doi":"10.1016/j.microc.2026.117084","DOIUrl":"10.1016/j.microc.2026.117084","url":null,"abstract":"<div><div>The widespread use of bismuth-based nanomaterials or drugs has increased the risk of human exposure to bismuth ions (Bi<sup>3+</sup>). Developing sensitive and selective methods to quantitatively detect Bi<sup>3+</sup> is necessary. In this work, bright fluorescent carbon dots (CDs) with a narrow full width at half maximum of 28 nm and high fluorescent quantum yield of 54% was synthesized and used to sense Bi<sup>3+</sup>. The fluorescence of CDs was quenched by Bi<sup>3+</sup> via electron transfer and aggregation-caused quenching mechanisms. A good exponential relationship between the fluorescent intensity of CDs and the concentration of Bi<sup>3+</sup> ranged from 0.29 to 218 μM was observed. The limit of detection was 0.29 μM. Furthermore, the CDs were utilized to detect Bi<sup>3+</sup> in real water samples, in which they achieved recovery rates of 99.4–108.9% with relative standard deviations below 8.0%. This CDs-based sensing platform is a simple and effective approach for rapid screening of Bi<sup>3+</sup>.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117084"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090529","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}
Pub Date : 2026-01-24DOI: 10.1016/j.microc.2026.117094
Juanjuan Zhao , Huanhuan Xing , Changxiu Zou , Sirui Cheng , Weichuan Zhou , Moheng Di , Wei Shen , Pengjuan Ni , Hanmeng Liu
With the increasing demand for nanozymes with high catalytic activity across various fields, utilizing light stimulation to enhance their catalytic activity and constructing nanozymes with light-harvesting capabilities is an effective approach. Herein, the α-Fe2O3@FeVO4 heterostructure was prepared by a simple hydrothermal and calcination method. By adjusting the ratio of V/Fe precursors, the material not only exhibits optimal peroxidase-mimicking catalytic function under dark conditions but also demonstrates light-enhanced enzyme-like activity upon light irradiation. This light-enhancing effect originates from the material's intrinsic n-type heterojunction structure and its facilitation of photogenerated electron separation and transfer. Based on this characteristic of the α-Fe2O3@FeVO4 nanozyme, a colorimetric sensing platform for accurate real-time monitoring of hydrogen peroxide (H₂O₂) and glutathione (GSH) was constructed, with detection limits as low as 0.65 μM and 0.1 μM, respectively. Additionally, embedding α-Fe2O3@FeVO4 into an agarose hydrogel created a portable hydrogel reactor. When combined with smartphone visual recognition technology, this setup further enabled the on-site and rapid detection of GSH. This research offers important insights for creating effective and controllable photo-enhanced nanozymes and demonstrates broad application prospects in fields such as environmental monitoring and biomedical analysis.
{"title":"A colorimetric platform based on photo-enhanced peroxidase-like α-Fe2O3@FeVO4 nanozymes for hydrogen peroxide and glutathione detection","authors":"Juanjuan Zhao , Huanhuan Xing , Changxiu Zou , Sirui Cheng , Weichuan Zhou , Moheng Di , Wei Shen , Pengjuan Ni , Hanmeng Liu","doi":"10.1016/j.microc.2026.117094","DOIUrl":"10.1016/j.microc.2026.117094","url":null,"abstract":"<div><div>With the increasing demand for nanozymes with high catalytic activity across various fields, utilizing light stimulation to enhance their catalytic activity and constructing nanozymes with light-harvesting capabilities is an effective approach. Herein, the α-Fe<sub>2</sub>O<sub>3</sub>@FeVO<sub>4</sub> heterostructure was prepared by a simple hydrothermal and calcination method. By adjusting the ratio of V/Fe precursors, the material not only exhibits optimal peroxidase-mimicking catalytic function under dark conditions but also demonstrates light-enhanced enzyme-like activity upon light irradiation. This light-enhancing effect originates from the material's intrinsic n-type heterojunction structure and its facilitation of photogenerated electron separation and transfer. Based on this characteristic of the α-Fe<sub>2</sub>O<sub>3</sub>@FeVO<sub>4</sub> nanozyme, a colorimetric sensing platform for accurate real-time monitoring of hydrogen peroxide (H₂O₂) and glutathione (GSH) was constructed, with detection limits as low as 0.65 μM and 0.1 μM, respectively. Additionally, embedding α-Fe<sub>2</sub>O<sub>3</sub>@FeVO<sub>4</sub> into an agarose hydrogel created a portable hydrogel reactor. When combined with smartphone visual recognition technology, this setup further enabled the on-site and rapid detection of GSH. This research offers important insights for creating effective and controllable photo-enhanced nanozymes and demonstrates broad application prospects in fields such as environmental monitoring and biomedical analysis.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"222 ","pages":"Article 117094"},"PeriodicalIF":4.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090540","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}
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