npj Flexible Electronics
·
2024
·Vol. 8
·期 1
·1-11
·
IF 12.3
Wang Zihu,Dong Yan,Sui Xiaoxiao,Shao Xingyan,Li Kangshuai,Zhang Hao,Xu Zhenyuan,Zhang Dongzhi
The precise, simultaneous, and rapid detection of essential biomarkers in human tears is imperative for monitoring both ocular and systemic health. The utilization of a wearable colorimetric biochemical sensor exhibits potential in achieving swift and concurrent detection of pivotal biomarkers in tears. Nevertheless, challenges arise in the collection, interpretation, and sharing of data from the colorimetric sensor, thereby restricting the practical implementation of this technology. To overcome these challenges, this research introduces an artificial intelligence-assisted wearable microfluidic colorimetric sensor system (AI-WMCS) for rapid, non-invasive, and simultaneous detection of key biomarkers in human tears, including vitamin C, H + (pH), Ca 2+ , and proteins. The sensor consists of a flexible microfluidic epidermal patch that collects tears and facilitates the colorimetric reaction, and a deep-learning neural network-based cloud server data analysis system (CSDAS) embedded in a smartphone enabling color data acquisition, interpretation, auto-correction, and display. To enhance accuracy, a well-trained multichannel convolutional recurrent neural network (CNN-GRU) corrects errors in the interpreted concentration data caused by varying pH and color temperature in different measurements. The test set determination coefficients (R 2 ) of 1D-CNN-GRU for predicting pH and 3D-CNN-GRU for predicting the other three biomarkers were as high as 0.998 and 0.994, respectively. This correction significantly improves the accuracy of the predicted concentration, enabling accurate, simultaneous, and quick detection of four critical tear biomarkers using only minute amounts of tears ( ~ 20 μL). This research demonstrates the powerful integration of a flexible microfluidic colorimetric biosensor and deep-learning algorithm, which holds immense potential to revolutionize the fields of health monitoring.
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Food Analytical Methods
·
2025
·
IF 3
Zeng Jingxuan,Zheng Haoyue,He Rifeng,Zhou Dan,Peng Xiaoyan,Mo Nan,Mo Zhonghai,Zhou Xue,Ge Fahuan
In this paper, we proposed a new supercritical CO 2 defatting—pH multistage regulation extraction method (SD-PMRE) of high water soluble walnut protein isolate (HWPI), by investigating the effects of PMRE, three defatting methods, and walnut seed coat on the functional properties of HWPI. The results showed that HWPI had high yield of 48.56% and high protein content of 87.58%. More importantly, it had a solubility of 91.58%, significantly higher than walnut protein isolate (WPI) with the highest solubility. Meanwhile, other functional properties of HWPI were greatly improved, with emulsification capacity and stability of 118.07 m 2 /g and 91.03%, and foaming capacity and stability of 129.17% and 89.29%, respectively. Through the SD-PMRE, the problem of WPI’s poor functional properties such as solubility was solved, avoiding the shortcomings brought by modification methods and expanding the application of walnut protein in the fields of food and medicine.
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BIOSENSORS & BIOELECTRONICS
·
2024
·
IF 10.7
Cheng Xu,Junbo Li,Jian Liu,Yaxin Ma,Xiaoshuai Wang,Yunfei Xie,Chunxia Chen,Wei Ji
A rapid, low-cost and reliable interfacial plasmonic nanoarray is presented as surface-enhanced Raman scattering (SERS) sensing platform for preliminary quantification and identification of flavonoids. Here, CTAB-modified Au colloidal nanoparticles self-assemble at the cyclohexane/acetone-water interface to form a uniform interfacial plasmonic nanoarray. The target hydrophobic analytes including organic dye methyl red and water-insoluble flavonoids, are effectively captured at the air-water interface and enter the “hot spots” between nanoparticles during the evaporation of the oil phase, which contributes to sensitive and reproducible SERS signals. Furthermore, this remarkable SERS performance enables the quantitative determination of water-insoluble flavonoids such as kaempferol, luteolin and naringenin with low detection limits of 10 −10 M, and an approximately linear correlation between SERS signals and analytical concentrations, as well as rapid multiplex analysis of flavonoids with similar structural characteristics. Additionally, directly relative content detection of crude extracts from lingonberry ( Vaccinium vitis-idaea L.) is achieved on the plasmonic nanoarray, serving as a proof-of-concept demonstration for practical applications. Compared to conventional analyses of flavonoids, the proposed SERS platform circumvents complex and time-consuming pretreatments, thereby opening avenues for the analysis of oil-soluble samples and other secondary metabolites, which will facilitate widespread evaluation of quality and medical value.
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PubMed
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Surfaces and Interfaces
·
2024
·
IF 5.7
Zhihao Liu,Tingting Yang,Yuwen Yan,Yongtao Tang,Jianxin Meng,Fengyu Li
Colorimetry is to determine the component content usually comparing or measuring the “RGB” values, which has the advantages of quick response and visual comparison. However, the widely reported “RGB” models are limited by requiring professional operation such as accurate sampling, insufficient information, cumbersome calculation, etc., which has significantly restricted the promotional application. Inspired by the PAA-PVA gel with excellent absorbing-swelling ability and superior response ability, indefinite volume addition has a significant difference in the swelling phenomenon of PAA-PVA hydrogel, the extent of this enlargement is directly related to the amount of testing sample absorbed, which can be applied to reflect testing sample volume added. In addition, benefited from a comprehensive and precise parameter network, the deep learning (DL) algorithm solves the defects such as ambient light effect and manual extract RGB values of the colorimetric sensing analysis strategy. Considering Fe(II) is an essential element for life science and environmental monitoring, we have developed a self-calibrating colorimetric sensor assisted deep learning strategy for the Fe(II) detection with indefinite volume. It can directly complete the analysis of Fe(II) concentration via captured images, without going through a complicated process similar to the RGB model. Specifically, we integrated the advantages of colorimetric sensing strategy, absorbing-swelling hydrogel, and DL algorithm to develop a phenanthroline (PHEN) indicator doped PAA-PVA colorimetric sensor (PHEN-PAA-PVA). Then, 2,500 colorimetric response images were collected as the training dataset and assessed 2 DL algorithms and 7 machine learning (ML) algorithms. The convolutional neural network (CNN) model exhibited the most efficiency to quantify 1×10 −5 -9×10 −4 mol/L Fe(II), with a limit of detection (LOD) of 3.3×10 −6 mol/L. It provides a promising and blooming in-situ detection approach for Fe(II) analysis, contributes to health management and environment monitoring.
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Journal of Food Measurement and Characterization
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2024
·
IF 2.9
Li Meng,Huang Juliang,Chen Yiming,Liu Chang,Wu Xiuli
In this study, the principle of alkali-solution and acid-isolation was used for the extraction of red adzuki bean protein (AP). The extraction conditions were optimized by response surface methodology to obtain the optimal extraction of AP with the highest yield of 87.1%. The solubility, water-holding capacity, oil-holding capacity, foaming and emulsification properties were explored. The results were as follows: The maximum solubility was 73.85% at pH 10.0. The water holding capacity decreased first and then increased with the increase in temperature, and the oil holding capacity tended to be the opposite. The foaming capacity and foaming stability increased with the increase of the concentration, while the emulsifying capacity tended to increase first and then decrease, and reached the maximum value of 71.71 m 2 /g when the protein concentration was 0.8% (w/v). Xylose, maltose and maltodextrin were used to modify AP by glycosylation reaction. The results showed that the glycosylation modification could effectively improve the solubility, foaming properties and emulsification properties of AP, which provided theoretical support for the future utilization of AP.
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INORGANICA CHIMICA ACTA
·
2024
·
IF 2.7
Gang Liu,Sheng Xu,Wenting Li,Zhenghao Li,Lingli Liu,Shangxi Zhang,Bing Hui
In order to enhance the visible light catalytic activity of TiO 2 by broadening its photoresponse range, the TiO 2 / N -GQDs (TGs) composite catalysts with a three-dimensional hollow urchin-like structure were prepared by one-step hydrothermal method. The microstructure and photoelectric properties of the synthesized TGs composites were analyzed through a series of characterizations, and the performance in degrading organic dyes under visible light was investigated. The results demonstrated that the prepared composites effectively enhanced the visible light absorption spectrum of TiO 2 by forming heterojunction. The degradation efficiency of organic dyes could reach 95.71% under visible light irradiation for 1 h, which further increased to 99.39% after 2 h. Additionally, the photocatalytic degradation process could be effectively accelerated under acid conditions. After 5 cycles of testing, the degradation efficiency of TGs composites on organic dyes was hardly reduced, indicating that they had great visible light catalytic activity and significant reusability.
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Materials Today Communications
·
2025
·
IF 4.5
Yin-Xia Sun,Li-Ping Liu,Ai-Ping Luo,Qin-Shu Li,Yu Sun,Zhe-Peng Deng,Wan-Hong Sun,Geng Guo
A new anionic Ce-MOF ([CeL(CHOO - )]·(CH 3 ) 4 N + )) based on ligand H 3 L (2,4,6-tris(4-carboxyphenyl)-1,3,5-triazine) was successfully synthesised and its adsorption properties of organic dyes were deeply investigated. Due to its unique pore structure and anionic skeleton, Ce-MOF exhibits excellent adsorption capacity for cationic dyes such as methylene blue (MB), crystal violet (CV) and rhodamine B (RhB), while it has no adsorption effect on anionic dyes such as methyl orange (MO) and methyl red (MR). The adsorption kinetics and isothermal model of Ce-MOF were systematically investigated using methylene blue as a model, and it was found that the adsorption process conformed to the quasi-primary kinetic model and the Langmuir isothermal model, indicating monomolecular layer adsorption. After five cyclic adsorption experiments, Ce-MOF maintained efficient adsorption performance, showing excellent cyclic stability and structural integrity. In the selective adsorption experiment of mixed dyes, it was found that cationic dyes can be adsorbed by Ce-MOF, and small molecule cationic dyes have a faster adsorption rate than large molecules. In addition, through DFT theoretical calculations, we revealed the adsorption mechanism of Ce-MOF on cationic dyes, which provided a theoretical basis for the design of new and efficient adsorption materials. This study not only provides an effective strategy for the removal of organic dyes, but also opens up a new way for the application of MOF materials in environmental treatment.
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FOOD CHEMISTRY
·
2025
·
IF 9.8
Zhiwei Zhu,Shuqi Huang,Da-Wen Sun
The monitoring of ethylene continues to pose significant challenges for conventional sensors, primarily due to their instability when subjected to environmental fluctuations. Consequently, in the study, a coordination-stabilized Pd(II)/His@SiO 2 nanocomposite was engineered through the optimization of the histidine (His)-Pd(II) molar ratio (Pd-His-1-0.8). This was achieved by suppressing the hydrolysis/thermal decomposition of Pd(NO 3 ) 2 to ensure uniform dispersion of Pd(II) via His-SiO 2 hydrogen bonding. A 4 × 4 colourimetric sensor array, based on the Pd-His-1-0.8 and integrated with pH-responsive dyes, was constructed. This array generated unique fingerprints mediated by the Wacker reaction, facilitating the quantification of ethylene. The stability experiment proved that the sensor exhibited negligible signal drift across harsh conditions (25–70 °C, 43–81 % RH) and 21 d storage. Furthermore, some postharvest storage experiments using bananas as a representative fruit demonstrated that results obtained from the colourimetric sensor array were in good agreement with those from commercial detectors. This indicates the considerable potential of the sensors for applications in food and agricultural detection.
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ENVIRONMENTAL SCIENCE & TECHNOLOGY
·
2025
·
IF 11.3
Yangyang Zhang,Hongyi Zhang,Ziqi Cai,Zhenghua Zhang
Overcoming the catalytic activity–stability trade-off remains a critical challenge for advanced oxidation processes (AOPs). Here, we fabricate an electrified chainmail membrane, composed of copper nanowires encapsulated by reduced graphene oxide (CuNW@rGO), exhibiting both high catalytic activity and long-term stability. The electrified CuNW@rGO membrane/peroxymonosulfate (PMS) system efficiently degrades various water contaminants, including dyes, pharmaceuticals, and phenolics (73–98%). Meanwhile, this system also maintains stable performance over 50 h, with ∼100% PMS utilization efficiency and <10% performance degradation even under realistic treatment environment conditions. The exceptional performance of the CuNW@rGO membrane is attributed to the physical protection provided by the rGO shell and the promotion of copper valence redox cycling through the use of an applied electric field. High-valent copper species (Cu(III)) and electron transfer processes (ETP) dominate pollutant degradation (66.28%), while radical reactive species play a minor role. Oxygen-containing functional groups on the rGO shell serve as electronic transport pathways and reaction binding sites, facilitating charge permeation from the Cu core through the rGO shell to PMS. This work provides valuable theoretical insights into addressing the catalytic activity–stability trade-off in AOPs, paving the way for more sustainable and efficient wastewater treatment technologies.
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Advanced Healthcare Materials
·
2025
·
IF 9.6
Lei Liu,Jiaming Zhang,Zhiye Qiu,Haotian Ren,Dan Yu,Yujie Gao,Hengqiu Sun,Jindan Wu
Excessive exudate in chronic wounds increases the risk associated with tissue hydration, bacterial infection, and increased inflammation. While Janus dressings enable unidirectional exudate transport, current designs overlook the critical need for maintaining optimal wound humidity and providing on-demand antibacterial/anti-inflammatory treatment to support repair. To address this, a self-pumping trilayered dressing (GCSIP) is developed, integrating polyhexamethylene guanidine-grafted triglycidyl glycerol ether (PHMG-GTE)-modified cotton, ibuprofen-loaded silk fibroin (IBU/SF), and polyurethane (PU). This architecture achieves autonomous, unidirectional fluid transport and drug release via a controlled reflux mechanism triggered upon full saturation of the cotton layer. A precisely engineered microporous array (400 µm pores, 6 mm spacing) is used to optimize directional transport and reflux efficiency. Upon saturation, partial reflux through the array facilitates the release of dissolved SF molecules and 87.6% of the encapsulated ibuprofen (IBU) within 72 h. The released components significantly reduced TNF-α and IL-6 expression in M1 macrophages by 90.4% and 87.6%, respectively. The in vivo results demonstrate excellent biocompatibility and nearly complete wound healing within 15 days, with a residual wound area ratio of only 0.8%. This study establishes an on-demand exudate regulation and drug release mechanism for multifunctional dressings to accelerate wound recovery.
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ACS Applied Bio Materials
·
2025
·
IF 4.7
Sihui Yang,Pengfei Li,Ting Wang,Yanjiao Lan,Xiaoyu Peng
A biodegradable, antioxidant smart film was prepared using a solution casting method. Anthocyanins in purple sweet potato extract (PSPE) were added to guar gum (GG), chitosan, and polyvinylpyrrolidone matrices as antioxidants and smart pH indicators to determine the freshness of meat products. The resulting GCPP films were characterized, and the mechanical, antibacterial, and antioxidant properties of the films were measured. Cytotoxicity assays confirmed the nontoxic nature of the material, complying with food contact material standards. Furthermore, shrimp freshness monitoring tests validated its practical application potential. As the basic skeleton of the smart film, GG endowed toughness and ductility. Minimal amounts of PSPE were evenly distributed in the film, forming hydrogen bonds with the matrix molecules, and the cross-section of the smart film was smooth and continuous. PSPE improved matrix compatibility and minimally affected the hydrophilicity of the film. As the PSPE content increased, the opacity of the GCPP film increased from 3.91 ± 0.01 to 4.30 ± 0.05, and the UV-blocking rate increased from 61.10% to 99.99%. The elongation at break increased from 24.44% to 38.26%, while the tensile strength decreased from 41.71 ± 3.22 MPa to 35.42 ± 1.84 MPa. Moreover, the GCPP film was highly sensitive to pH changes. For example, in the shrimp freshness test, the GCPP film changed from meat-pink to brownish-yellow when the volatile base nitrogen was 18.24 mg/100 g. Therefore, this study provides an effective method to prepare smart films that are environmentally friendly indicators of food freshness.
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Advanced Materials Technologies
·
2025
·
IF 6.2
Xiaojiang Huang,Weihao Zhao,Haoran Wu,Bangrui Yu,Yunxiang Shi,Jun Wu,Shuai Gao,Xingjie Xu,Jiabing Zhao,Feng Xu,Xiaqing Zhou,Peng Li,Huiqing Zhang
Burn wound management at articular sites remains a clinical challenge, requiring effective exudate control, infection prophylaxis, and maintenance of patient comfort amid continuous mechanical deformation. Conventional dressings often fail to adapt to the complex biomechanical motions of movable body parts and lack integrated capabilities for real-time monitoring of wound microenvironment parameters such as pH and temperature. To address these issues, we present a novel stretchable smart dressing that integrates rapid exudate absorption, real-time strain-insensitive monitoring of pH and temperature, and high biocompatibility for long-term use. The dressing features a carboxymethyl chitosan-chitosan-calcium alginate (CMC-CS-CA) hydrogel-based sponge with an exudate-absorbing swelling ratio of 914% and maintains high stretchability (up to 80% strain). Meanwhile, embedded sensors ensure continuous monitoring of wound conditions. The dressing has been validated on human joints and in vivo rabbit burn wound models, demonstrating superior absorption, flexibility, and monitoring capabilities compared to existing dressings. This technology promises to advance burn wound management by improving healing efficiency and offering enhanced patient comfort, with broad potential for future clinical applications in wearable medical devices.
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