作者机构：
Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, College of Resources and Environmental Sciences, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian, Beijing 100193, China;National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land, China;[Yijue Fei; Keren Jiao; Xiaoyang Liu; Baolong Wang; Rui Song; Zilin Meng; Binbin Liu; Jiaqi Wu; Chenyu Qi; Wenfeng Zhou; Haixiang Gao] College of Science, China Agricultural University, China;[Yuanlin Zhu] School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, China;[Shuwen Hu] Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, College of Resources and Environmental Sciences, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian, Beijing 100193, China<&wdkj&>National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land, China
通讯机构：
[Haixiang Gao] C;[Shuwen Hu] B;College of Science, China Agricultural University, China<&wdkj&>Beijing Key Laboratory of Farmland Soil Pollution Prevention-control and Remediation, College of Resources and Environmental Sciences, China Agricultural University, No. 2 Yuanmingyuan West Road, Haidian, Beijing 100193, China<&wdkj&>National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land, China
摘要：
This study introduces a composite amendment, containing CaSO₄, MgSO₄, Fe₂(SO₄)₃, and Palygorskite (PGS), for concurrently improving saline-alkali soil physicochemical properties and promoting crop growth via in situ soil regulation and nutrient release. Experimental results demonstrated Layered Double Hydroxide (LDH) structure formation within the amended soil after 20 days, a key in situ mineralization mechanism absent in the control. This process significantly reduced soil pH from 9.85 to 7.86 (a 20.2 % decrease) and drastically lowered CO₃²⁻ content from 33.43 g/kg to 5.12 g/kg (an 84.68 % reduction), effectively mitigating soil alkalinity. Concurrently, exchangeable Na⁺ content decreased markedly from 700.7 mg/kg to 183.67 mg/kg (a 73.8 % reduction), alleviating sodicity. Furthermore, the amendment substantially increased water-soluble nutrient ions: Ca²⁺ (1.17–30.35 mg/kg), Mg²⁺ (0.125–9.58 mg/kg), total available Fe (49.78–89.35 mg/kg), and available SO₄²⁻ (2.06–21.62 g/kg). Notably, the amendment enhanced Soil Organic Matter (SOM) retention after simulated leaching; SOM in amended soil (6.81 g/kg) remained significantly higher than the control (5.14 g/kg), indicating improved carbon stabilization. Pot experiments using ryegrass confirmed the amendment's efficacy, showing significantly enhanced germination, root length, and shoot length, even enabling immediate planting post-application. In summary, the composite amendment leverages in situ LDH formation for stable CO₃²⁻ immobilization and alkalinity reduction, while enriching the soil with essential nutrients (Ca, Mg, Fe, S). This dual action facilitates immediate crop establishment, integrating soil regulation with controlled fertilizer distribution.
This study introduces a composite amendment, containing CaSO₄, MgSO₄, Fe₂(SO₄)₃, and Palygorskite (PGS), for concurrently improving saline-alkali soil physicochemical properties and promoting crop growth via in situ soil regulation and nutrient release. Experimental results demonstrated Layered Double Hydroxide (LDH) structure formation within the amended soil after 20 days, a key in situ mineralization mechanism absent in the control. This process significantly reduced soil pH from 9.85 to 7.86 (a 20.2 % decrease) and drastically lowered CO₃²⁻ content from 33.43 g/kg to 5.12 g/kg (an 84.68 % reduction), effectively mitigating soil alkalinity. Concurrently, exchangeable Na⁺ content decreased markedly from 700.7 mg/kg to 183.67 mg/kg (a 73.8 % reduction), alleviating sodicity. Furthermore, the amendment substantially increased water-soluble nutrient ions: Ca²⁺ (1.17–30.35 mg/kg), Mg²⁺ (0.125–9.58 mg/kg), total available Fe (49.78–89.35 mg/kg), and available SO₄²⁻ (2.06–21.62 g/kg). Notably, the amendment enhanced Soil Organic Matter (SOM) retention after simulated leaching; SOM in amended soil (6.81 g/kg) remained significantly higher than the control (5.14 g/kg), indicating improved carbon stabilization. Pot experiments using ryegrass confirmed the amendment's efficacy, showing significantly enhanced germination, root length, and shoot length, even enabling immediate planting post-application. In summary, the composite amendment leverages in situ LDH formation for stable CO₃²⁻ immobilization and alkalinity reduction, while enriching the soil with essential nutrients (Ca, Mg, Fe, S). This dual action facilitates immediate crop establishment, integrating soil regulation with controlled fertilizer distribution.
期刊：
CURRENT MEDICINAL CHEMISTRY,2026年32(3):676-688 ISSN：0929-8673
作者机构：
[Wenbin Liu] College of Medicine and Health Science, Wuhan Polytechnic
University, Wuhan, 430023, China;[Muhammad Umer] Research Center of Forest
Ecology, Institute for Forest Resources and Environment of Guizhou and Forestry College, Guizhou University,
Guiyang, 550025, China;[Yang Xu] Wuhan Polytechnic University School of Modern Industry for Selenium Science and Engineering Wuhan China;[Jixin Chen; Yi He; Shiya Wei; Zhangqian Wang; Chao Gao] National R&[Jixin Chen; Yi He; Shiya Wei; Zhangqian Wang; Chao Gao] D Center for Se-rich Agricultural Products Processing, Hubei Engineering Research Center
for Deep Processing of Green Se-rich Agricultural Products, School of Modern Industry for Selenium Science
and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China
摘要：
Introduction: G-quadruplexes (G4s) are non-classical high-level structures that are formed by DNA/RNA sequences and have been a promising target for developing antitumor drugs. However, it is still a challenge to find a ligand that binds to a particular G4 with selectivity. Telomeric multimeric G4s are more accessible for screening for specific ligands due to their higher-order structure compared with telomeric monomeric G4s.<&wdkj&>Methods : In this study, the natural product berberine was found to exhibit a higher selectivity for telomeric multimeric G4 in comparison with other G4s. The mechanism of interaction between telomeric G4s and berberine was further investigated by fluorescence spectra measurements, job plot analysis, and UV titrations. We found that there are three binding sites for berberine on telomeric dimeric G-quadruplex Tel45, which are located at the 5' and 3' terminal G-quartet surfaces and the pocket between the two quadruplex units of Tel45. It was worth noting that the berberine preferred to interact within the interfacial cavity between two G4 units.<&wdkj&>Results : Moreover, via dynamic light scattering (DLS) and native polyacrylamide gel electrophoresis (Native-PAGE) assays, it was found that the particle size of the telomeric multimeric G4s conformation was significantly increased by the addition of berberine. In contrast, the particle sizes of Tel21 did not change significantly after the addition of berberine. An immunofluorescence assay indicated that berberine induced the formation of endogenous telomeric G4 structures along with the related telomeric DNA damage response.<&wdkj&>Conclusion: This study provides a hypothetical basis for the development of natural products targeting telomeric G4 as antitumor drugs.
作者机构：
[Xia Liu; Zhongshan Feng; Cuiwen Deng; Quan Yang; Minhao Wang; Xinjie Zhang; Yi Hu; Yufan Zheng; Juan Zeng; Juanjuan Han] Hubei Key Laboratory of Agricultural Waste Resource Utilization, School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, PR China;[Bencai Lin] School of Materials Science and Engineering, Jiangsu Collaborative Innovation Center of Photovolatic Science and Engineering, Changzhou University, Changzhou 213164, PR China
通讯机构：
[Juan Zeng; Juanjuan Han] H;Hubei Key Laboratory of Agricultural Waste Resource Utilization, School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, PR China
摘要：
This work reports an eco-friendly, economical, and straightforward fabrication of chitosan (CS)/poly(diallyldimethylammonium chloride) (PDDA) blended anion exchange membranes via an aqueous processing strategy, where CS dissolved in a KOH/urea/H 2 O system forms the polymer matrix and PDDA acts as the hydroxide-ion conductor. Membranes are cast from solution and neutralized in KCl(aq) to form a gel film, followed by dehydration to form films. Robust hydrogen bond cross-linking facilitates lateral aggregation of chitosan chains, ensuring excellent component compatibility, low in-plane swelling (4.3–10.3 % at 80 °C), and favorable mechanical properties. The inherent hydrophilicity of CS and PDDA, imparts high through-plane swelling (45.0–150.1 % at 80 °C) and water uptake (142.5–327.2 % at 80 °C). High water uptake facilitates improved hydroxide conductivity (22.6–41.2 mS cm −1 at 80 °C) and significantly enhances alkaline stability in hot KOH solutions (mass retention: 79.3–88.6 %; IEC retention: 70.6–73.9 %; conductivity retention: 76.8–86.1 %). The optimized PDDA@CS 7.0% -2 membrane achieves a peak power density of 180.0 mW cm −2 at 325.2 mA cm −2 , demonstrating competitive performance among CS or PDDA-based AEMs.
This work reports an eco-friendly, economical, and straightforward fabrication of chitosan (CS)/poly(diallyldimethylammonium chloride) (PDDA) blended anion exchange membranes via an aqueous processing strategy, where CS dissolved in a KOH/urea/H 2 O system forms the polymer matrix and PDDA acts as the hydroxide-ion conductor. Membranes are cast from solution and neutralized in KCl(aq) to form a gel film, followed by dehydration to form films. Robust hydrogen bond cross-linking facilitates lateral aggregation of chitosan chains, ensuring excellent component compatibility, low in-plane swelling (4.3–10.3 % at 80 °C), and favorable mechanical properties. The inherent hydrophilicity of CS and PDDA, imparts high through-plane swelling (45.0–150.1 % at 80 °C) and water uptake (142.5–327.2 % at 80 °C). High water uptake facilitates improved hydroxide conductivity (22.6–41.2 mS cm −1 at 80 °C) and significantly enhances alkaline stability in hot KOH solutions (mass retention: 79.3–88.6 %; IEC retention: 70.6–73.9 %; conductivity retention: 76.8–86.1 %). The optimized PDDA@CS 7.0% -2 membrane achieves a peak power density of 180.0 mW cm −2 at 325.2 mA cm −2 , demonstrating competitive performance among CS or PDDA-based AEMs.
期刊：
Postharvest Biology and Technology,2026年231:113935 ISSN：0925-5214
通讯作者：
Shan Zeng
作者机构：
[Yixiao Wang; Wei Tao; Shan Zeng; Si Xia; Bing Li; Chaoxian Liu] School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China
通讯机构：
[Shan Zeng] S;School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan 430023, China
摘要：
Hyperspectral imaging technology has been widely used in the non-destructive testing of fruits. However, the curvature change on the surface of fruits leads to differences in the incident angle between different regions and a fixed light source, resulting in distortion of the reflectance in the edge regions. This distortion poses a severe challenge to the detection of early bruise. To solve the problem of inaccurate bruise detection caused by spectral distortion, this paper proposes a method for fruit bruise detection by fusing 3D point clouds with hyperspectral data. Specifically, this paper constructs a fusion architecture for synchronously acquiring heterogeneous data from hyperspectral and point cloud depth cameras. The original data are processed using a joint registration algorithm with spatial geometric constraints to establish a mapping model. Building upon the mapping model, this paper further proposes a parameter-adaptive Lambert-based geometrical influence correction method, which adaptively adjusts the correction coefficient for each pixel using an adaptive polynomial kernel function. Pixel-level correction is achieved via the fusion of spatial-spectral features, resulting in improved reflectance spectrum uniformity. Using the corrected hyperspectral data, this paper designs a fruit bruised detection model for early bruise detection. The experimental results show that the proposed method effectively improves the accuracy of bruise detection in the edge region by up to 26 % across multiple apple varieties, thereby offering a new technical idea for the quality detection of geometrically irregular agricultural products.
Hyperspectral imaging technology has been widely used in the non-destructive testing of fruits. However, the curvature change on the surface of fruits leads to differences in the incident angle between different regions and a fixed light source, resulting in distortion of the reflectance in the edge regions. This distortion poses a severe challenge to the detection of early bruise. To solve the problem of inaccurate bruise detection caused by spectral distortion, this paper proposes a method for fruit bruise detection by fusing 3D point clouds with hyperspectral data. Specifically, this paper constructs a fusion architecture for synchronously acquiring heterogeneous data from hyperspectral and point cloud depth cameras. The original data are processed using a joint registration algorithm with spatial geometric constraints to establish a mapping model. Building upon the mapping model, this paper further proposes a parameter-adaptive Lambert-based geometrical influence correction method, which adaptively adjusts the correction coefficient for each pixel using an adaptive polynomial kernel function. Pixel-level correction is achieved via the fusion of spatial-spectral features, resulting in improved reflectance spectrum uniformity. Using the corrected hyperspectral data, this paper designs a fruit bruised detection model for early bruise detection. The experimental results show that the proposed method effectively improves the accuracy of bruise detection in the edge region by up to 26 % across multiple apple varieties, thereby offering a new technical idea for the quality detection of geometrically irregular agricultural products.
摘要：
Phytochemical investigation of roots of Euphorbia ebracteolata Hayata led to ten higher diterpenoids including seven undescribed ones ( 1 – 7 ) and three analogues ( 8 − 10 ), accompanied by four derivatives ( 7a and 9a − 9c ) obtained via chemical correlation. Notably, compound 1 represents a rare di nor - ent -isopimarane diterpenoid. Their structures were fully characterized using a combination of spectroscopic, ECD, chemical, and single-crystal X-ray diffraction means. Cytotoxicity screening suggested that the oxidized derivative of 7 ( 7a ) displayed the most potent activity against non-small-cell lung cancer (NSCLC) cell line HCC827, comparable to the positive control, cisplatin. Mechanistic study revealed that 7a could arrest cell cycle at G1/S phase and induce apoptosis.
Phytochemical investigation of roots of Euphorbia ebracteolata Hayata led to ten higher diterpenoids including seven undescribed ones ( 1 – 7 ) and three analogues ( 8 − 10 ), accompanied by four derivatives ( 7a and 9a − 9c ) obtained via chemical correlation. Notably, compound 1 represents a rare di nor - ent -isopimarane diterpenoid. Their structures were fully characterized using a combination of spectroscopic, ECD, chemical, and single-crystal X-ray diffraction means. Cytotoxicity screening suggested that the oxidized derivative of 7 ( 7a ) displayed the most potent activity against non-small-cell lung cancer (NSCLC) cell line HCC827, comparable to the positive control, cisplatin. Mechanistic study revealed that 7a could arrest cell cycle at G1/S phase and induce apoptosis.
期刊：
Journal of Tribology,2026年148(1):011701 ISSN：0742-4787
通讯作者：
Hua-Xi Zhou
作者机构：
[Jing-Lun Xie; Chang-Guang Zhou] Department of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;[Xiao-Yi Wang; Hua-Xi Zhou; Yi Zhang] Department of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China
通讯机构：
[Hua-Xi Zhou] D;Department of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China
作者机构：
[Jing Cui] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, Hubei, PR China;Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan, 430023, Hubei, PR China;Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan, 430023, Hubei, PR China;[Zhongze Hu; Huaying Liu; Liwei Zhang; Wangyang Shen; Weiping Jin; Wenjing Huang] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, Hubei, PR China<&wdkj&>Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan, 430023, Hubei, PR China<&wdkj&>Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan, 430023, Hubei, PR China
通讯机构：
[Wenjing Huang] C;College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, Hubei, PR China<&wdkj&>Hubei Key Laboratory for Processing and Transformation of Agricultural Products, Wuhan Polytechnic University, Wuhan, 430023, Hubei, PR China<&wdkj&>Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan, 430023, Hubei, PR China
摘要：
Fish oil (FO) is rich in polyunsaturated fatty acids, which can effectively enhance human immunity and show favourable healthcare properties and medical value. However, the poor solubility of FO presents challenges in its application in functional foods. In this study, glycosylation modification was used to prepare FO encapsulated by an emulsifier that combined rice bran polysaccharide (RBP) with surfactin (SUR). The formation of the natural macromolecular polysaccharide-small molecular peptide conjugate was confirmed on the basis of changes in colour, browning degree, chemical bonds, and secondary structure of the sample after the Maillard reaction. The physical and chemical stability of the encapsulated FO were also evaluated. The conjugates showed good emulsifying ability and thermal stability, and the FO@SUR-RBP emulsion showed good storage stability. Meanwhile, in vitro active evaluation indicated that the nano-emulsions could be maintained in the small intestine and absorbed by Caco-2 cells. These results suggest that the emulsifier prepared by glycosylation modification of RBP and SUR can successfully encapsulate FO and improve the bioavailability of docosahexaenoic acid. This work provides a theoretical basis for the use of low-molecular weight peptide-based conjugates in controlled delivery of unsaturated fatty acid-loaded emulsions in the food industry.
Fish oil (FO) is rich in polyunsaturated fatty acids, which can effectively enhance human immunity and show favourable healthcare properties and medical value. However, the poor solubility of FO presents challenges in its application in functional foods. In this study, glycosylation modification was used to prepare FO encapsulated by an emulsifier that combined rice bran polysaccharide (RBP) with surfactin (SUR). The formation of the natural macromolecular polysaccharide-small molecular peptide conjugate was confirmed on the basis of changes in colour, browning degree, chemical bonds, and secondary structure of the sample after the Maillard reaction. The physical and chemical stability of the encapsulated FO were also evaluated. The conjugates showed good emulsifying ability and thermal stability, and the FO@SUR-RBP emulsion showed good storage stability. Meanwhile, in vitro active evaluation indicated that the nano-emulsions could be maintained in the small intestine and absorbed by Caco-2 cells. These results suggest that the emulsifier prepared by glycosylation modification of RBP and SUR can successfully encapsulate FO and improve the bioavailability of docosahexaenoic acid. This work provides a theoretical basis for the use of low-molecular weight peptide-based conjugates in controlled delivery of unsaturated fatty acid-loaded emulsions in the food industry.
期刊：
Materials Science in Semiconductor Processing,2026年201:110038 ISSN：1369-8001
通讯作者：
Dachang Chen
作者机构：
[Jingzhi Zhao; Yongqing Qian; Dachang Chen] School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, 430023, China;[Zihan Xu] School of Automation, Northwestern Polytechnical University, Xi'an, 710129, China;[Xiaoxing Zhang] Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, 430068, China;[Beibei Xiao] School of Energy and Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, China
通讯机构：
[Dachang Chen] S;School of Electrical and Electronic Engineering, Wuhan Polytechnic University, Wuhan, 430023, China
摘要：
The adsorption and sensing properties of pristine α-In 2 Se 3 and Pt doped In 2 Se 3 monolayers for five thermal runaway gases (H 2 , CO, CO 2 , CH 4 , C 2 H 4 ) have been investigated using density functional theory (DFT). The adsorption energy, charge transfer ( Q T ), energy density of states, work function, recovery time and sensing response were compared to elucidate the gas adsorption behavior and electronic properties. The results indicate that, when Pt replaces doping the In 2 Se 3 (↑) surface, the phase state of α-In 2 Se 3 changes, turning into a more stable β phase. However, in the Pt-In 2 Se 3 (↓) surface, no phase transition was observed in α-In 2 Se 3 . And for the adsorption of H 2 , CO and C 2 H 4 , the introduction of Pt atoms significantly enhances the adsorption energies. Additionally, the absolute value of the integral crystal orbital Hamiltonian population (ICOHP) is the highest for CO adsorbed on Pt doped In 2 Se 3 monolayer systems, with values of −2.73 and −2.77 for the upward and downward polarization directions, respectively. This indicates a stronger interaction between CO and Pt atoms, suggesting an enhanced potential for chemical bond formation at Pt sites. The adsorption of gas molecules has shown pronounced differences in its impact on the work function. The Pt-In 2 Se 3 (↑) surface exhibits considerable sensitivity to CO and CH 4 , resulting in the most significant work function shift (work function shift of CO is 0.14 eV; work function shift of C 2 H 4 is 0.3 eV), while its response to H 2 , CO 2 and CH 4 is nearly negligible. Meanwhile, the adsorption of C 2 H 4 on the Pt-In 2 Se 3 (↓) yields a significant work function shift of 0.49 eV, further indicating the material's potential for selective detection of specific gases. A comprehensive analysis of adsorption energy and work function further reveals that the Pt-In 2 Se 3 (↑) surface exhibits the most pronounced gas-sensing properties toward CO (adsorption energy of 1.26 eV and work function shift to 6.01 eV), while the Pt-In 2 Se 3 (↓) surface shows significant sensitivity to both CO (adsorption energy of 1.34 eV and work function shift to 5.31 eV) and C 2 H 4 (adsorption energy of 1.05 eV and work function shift to 5.25 eV). When both sensitivity and recovery characteristics are taken into account, Pt-In 2 Se 3 monolayers demonstrate a remarkable negative sensing response towards C 2 H 4 , with values of −99.61 % for the In 2 Se 3 (↑) surface and −96.87 % for the In 2 Se 3 (↓) surface. Furthermore, the recovery time for C 2 H 4 on the Pt-In 2 Se 3 (↑) surface is as short as 4.19 × 10 −3 s at 498 K, while on the Pt-In 2 Se 3 (↓) surface it is 4.56 × 10 −2 s. These findings indicate that Pt functionalization not only enables ultrahigh sensitivity but also allows for rapid recovery of the sensor after gas exposure, suggesting that Pt-doped In 2 Se 3 monolayers are highly promising candidates for efficient and real-time detection of ethylene. These findings provide a theoretical basis for understanding the microscopic mechanisms of gas detection in In 2 Se 3 -based sensors and contribute to the design of advanced sensing materials for detecting thermal runaway gases in LIBs.
The adsorption and sensing properties of pristine α-In 2 Se 3 and Pt doped In 2 Se 3 monolayers for five thermal runaway gases (H 2 , CO, CO 2 , CH 4 , C 2 H 4 ) have been investigated using density functional theory (DFT). The adsorption energy, charge transfer ( Q T ), energy density of states, work function, recovery time and sensing response were compared to elucidate the gas adsorption behavior and electronic properties. The results indicate that, when Pt replaces doping the In 2 Se 3 (↑) surface, the phase state of α-In 2 Se 3 changes, turning into a more stable β phase. However, in the Pt-In 2 Se 3 (↓) surface, no phase transition was observed in α-In 2 Se 3 . And for the adsorption of H 2 , CO and C 2 H 4 , the introduction of Pt atoms significantly enhances the adsorption energies. Additionally, the absolute value of the integral crystal orbital Hamiltonian population (ICOHP) is the highest for CO adsorbed on Pt doped In 2 Se 3 monolayer systems, with values of −2.73 and −2.77 for the upward and downward polarization directions, respectively. This indicates a stronger interaction between CO and Pt atoms, suggesting an enhanced potential for chemical bond formation at Pt sites. The adsorption of gas molecules has shown pronounced differences in its impact on the work function. The Pt-In 2 Se 3 (↑) surface exhibits considerable sensitivity to CO and CH 4 , resulting in the most significant work function shift (work function shift of CO is 0.14 eV; work function shift of C 2 H 4 is 0.3 eV), while its response to H 2 , CO 2 and CH 4 is nearly negligible. Meanwhile, the adsorption of C 2 H 4 on the Pt-In 2 Se 3 (↓) yields a significant work function shift of 0.49 eV, further indicating the material's potential for selective detection of specific gases. A comprehensive analysis of adsorption energy and work function further reveals that the Pt-In 2 Se 3 (↑) surface exhibits the most pronounced gas-sensing properties toward CO (adsorption energy of 1.26 eV and work function shift to 6.01 eV), while the Pt-In 2 Se 3 (↓) surface shows significant sensitivity to both CO (adsorption energy of 1.34 eV and work function shift to 5.31 eV) and C 2 H 4 (adsorption energy of 1.05 eV and work function shift to 5.25 eV). When both sensitivity and recovery characteristics are taken into account, Pt-In 2 Se 3 monolayers demonstrate a remarkable negative sensing response towards C 2 H 4 , with values of −99.61 % for the In 2 Se 3 (↑) surface and −96.87 % for the In 2 Se 3 (↓) surface. Furthermore, the recovery time for C 2 H 4 on the Pt-In 2 Se 3 (↑) surface is as short as 4.19 × 10 −3 s at 498 K, while on the Pt-In 2 Se 3 (↓) surface it is 4.56 × 10 −2 s. These findings indicate that Pt functionalization not only enables ultrahigh sensitivity but also allows for rapid recovery of the sensor after gas exposure, suggesting that Pt-doped In 2 Se 3 monolayers are highly promising candidates for efficient and real-time detection of ethylene. These findings provide a theoretical basis for understanding the microscopic mechanisms of gas detection in In 2 Se 3 -based sensors and contribute to the design of advanced sensing materials for detecting thermal runaway gases in LIBs.
摘要：
In the industrial routine inspection process, accurately tracking pipeline defects is essential for ensuring safe operation. However, this accuracy is adversely affected by the complexity of pipeline internal environment, similarity in the appearance of different defects, and difference in the appearance of the same defect with the movement of the camera used. Herein, we present a novel model called global prototype tracking network (GP-Net), which integrates prototype learning, global attention, and global tracking to accurately track the defects. The proposed model mitigates the feature bias caused by prototype singularity via iterative clustering. A dilated attention method is applied at multiple scales to resolve the redundant computations in global attention. Our experiments demonstrated that GP-Net achieved multi-object tracking accuracy, identity F1 score, and multi-object tracking precision of 79.6%, 85.5%, and 93.3%, respectively. Therefore, we demonstrated the effectiveness of GP-Net in tracking pipeline defects, thereby exploiting the potential application of deep learning in industrial maintenance. The source code and partial dataset are publicly available at https://github.com/cui19981127/GP-Net .
In the industrial routine inspection process, accurately tracking pipeline defects is essential for ensuring safe operation. However, this accuracy is adversely affected by the complexity of pipeline internal environment, similarity in the appearance of different defects, and difference in the appearance of the same defect with the movement of the camera used. Herein, we present a novel model called global prototype tracking network (GP-Net), which integrates prototype learning, global attention, and global tracking to accurately track the defects. The proposed model mitigates the feature bias caused by prototype singularity via iterative clustering. A dilated attention method is applied at multiple scales to resolve the redundant computations in global attention. Our experiments demonstrated that GP-Net achieved multi-object tracking accuracy, identity F1 score, and multi-object tracking precision of 79.6%, 85.5%, and 93.3%, respectively. Therefore, we demonstrated the effectiveness of GP-Net in tracking pipeline defects, thereby exploiting the potential application of deep learning in industrial maintenance. The source code and partial dataset are publicly available at https://github.com/cui19981127/GP-Net .
作者机构：
[Qing Yang; Shiyun Chen; Xuanpei Wang; Lin Xu; Xiao Guo; Zhiyong Gong; Xin Liu] Key Laboratory for Deep Processing of Major Grain and Oil, Ministry of Education, Wuhan Polytechnic University, Wuhan, 430023, China;[Yijie Chen] College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China;[Hao-Long Zeng] Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
通讯机构：
[Hao-Long Zeng] D;Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
摘要：
Molecular modification has emerged as a promising strategy to enhance the functional properties of food proteins. In this study, rosmarinic acid (RA) was successfully conjugated to whey protein isolate (WPI) through a radical-mediated grafting approach, achieving a conjugation efficiency of 60.23 mg/g protein (WPI-RA 0.1). Electrophoretic analysis confirmed the formation of high-molecular-weight conjugates, while comprehensive spectroscopic characterization (FTIR, fluorescence spectroscopy, and UV absorption) revealed significant structural reorganization of WPI following RA conjugation. Notably, the α- Helix content decreased from 22.73 % (WPI-RA 0) to 17.55 % (WPI-RA 0.05), accompanied by an increase in β -turn content from 25.46 % (WPI-RA 0) to 41.82 % (WPI-RA 0.05). RA conjugation conferred multiple functional improvements to WPI. The allergenicity of WPI was significantly reduced, as evidenced by decreased IgG binding affinity (83.85 % for WPI-RA 0.1). Antioxidant capacity was markedly ( P < 0.05) enhanced, with WPI-RA 0.1 demonstrating 74.37 % DPPH and 88.48 % ABTS + radical scavenging activities. Additionally, the foaming and emulsifying properties of WPI-RA 0.1 were substantially improved, with foaming capacity (FC) increased to 104.39 %, foaming stability (FS) to 63.15 %, foaming half-life to 165.33 min, emulsifying activity index (EAI) to 1.11 m 2 /g, and emulsion stability index (ESI) to 92.37 min. Importantly, emulsions stabilized by WPI-RA exhibited superior oxidative stability during 14-day storage, with significantly reduced peroxide formation compared to native WPI. These findings demonstrate that RA conjugation effectively mitigates WPI allergenicity while enhancing its functional and antioxidant properties. This highlights its promising potential for nutritional food development, particularly in formulating hypoallergenic and high-performance protein ingredients.
Molecular modification has emerged as a promising strategy to enhance the functional properties of food proteins. In this study, rosmarinic acid (RA) was successfully conjugated to whey protein isolate (WPI) through a radical-mediated grafting approach, achieving a conjugation efficiency of 60.23 mg/g protein (WPI-RA 0.1). Electrophoretic analysis confirmed the formation of high-molecular-weight conjugates, while comprehensive spectroscopic characterization (FTIR, fluorescence spectroscopy, and UV absorption) revealed significant structural reorganization of WPI following RA conjugation. Notably, the α- Helix content decreased from 22.73 % (WPI-RA 0) to 17.55 % (WPI-RA 0.05), accompanied by an increase in β -turn content from 25.46 % (WPI-RA 0) to 41.82 % (WPI-RA 0.05). RA conjugation conferred multiple functional improvements to WPI. The allergenicity of WPI was significantly reduced, as evidenced by decreased IgG binding affinity (83.85 % for WPI-RA 0.1). Antioxidant capacity was markedly ( P < 0.05) enhanced, with WPI-RA 0.1 demonstrating 74.37 % DPPH and 88.48 % ABTS + radical scavenging activities. Additionally, the foaming and emulsifying properties of WPI-RA 0.1 were substantially improved, with foaming capacity (FC) increased to 104.39 %, foaming stability (FS) to 63.15 %, foaming half-life to 165.33 min, emulsifying activity index (EAI) to 1.11 m 2 /g, and emulsion stability index (ESI) to 92.37 min. Importantly, emulsions stabilized by WPI-RA exhibited superior oxidative stability during 14-day storage, with significantly reduced peroxide formation compared to native WPI. These findings demonstrate that RA conjugation effectively mitigates WPI allergenicity while enhancing its functional and antioxidant properties. This highlights its promising potential for nutritional food development, particularly in formulating hypoallergenic and high-performance protein ingredients.
作者机构：
[Wenbo Zhang; Xinlei Gao] School of Materials Science and Engineering, Hubei University, Wuhan 430062, China;National Key Laboratory of Aerospace Chemical Power, Xiangyang 441003, China;Hubei Institute of Aerospace Chemistry Technology, Xiangyang 441003, China;[Yuwei Cheng] School of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, China;[Rui Yu] National Key Laboratory of Aerospace Chemical Power, Xiangyang 441003, China<&wdkj&>Hubei Institute of Aerospace Chemistry Technology, Xiangyang 441003, China
通讯机构：
[Rui Yu] N;National Key Laboratory of Aerospace Chemical Power, Xiangyang 441003, China<&wdkj&>Hubei Institute of Aerospace Chemistry Technology, Xiangyang 441003, China
摘要：
In this study, 38 organic compounds were used as lubricants in the GCr15 steel/polyimide (PI) friction system to systematically compare the influence mechanism of lubricant molecular structures on the friction performance of the system. Quantitative structure tribo-ability relationship (QSTR) models linking structural descriptors with coefficients of friction were established using random forest (RF) and extreme gradient boosting (XGBoost) algorithms, respectively. Based on comparisons of performance metrics such as fitting degree and generalization ability, the QSTR model developed by the RF algorithm was selected to quantitatively analyze the nonlinear influence mechanism of lubricant molecular structures on coefficients of friction. The study preliminarily reveals that the ability of lubricant molecules to form hydrogen bonds with PI macromolecules, the strength of van der Waals forces, and the influence of molecular geometric conformation on the effective interfacial interaction distance collectively constitute the key factors affecting the friction performance of the system.
In this study, 38 organic compounds were used as lubricants in the GCr15 steel/polyimide (PI) friction system to systematically compare the influence mechanism of lubricant molecular structures on the friction performance of the system. Quantitative structure tribo-ability relationship (QSTR) models linking structural descriptors with coefficients of friction were established using random forest (RF) and extreme gradient boosting (XGBoost) algorithms, respectively. Based on comparisons of performance metrics such as fitting degree and generalization ability, the QSTR model developed by the RF algorithm was selected to quantitatively analyze the nonlinear influence mechanism of lubricant molecular structures on coefficients of friction. The study preliminarily reveals that the ability of lubricant molecules to form hydrogen bonds with PI macromolecules, the strength of van der Waals forces, and the influence of molecular geometric conformation on the effective interfacial interaction distance collectively constitute the key factors affecting the friction performance of the system.
作者机构：
[Jiabao Gong; Wenhan Xu; Changqing Zhang; Qingyue Zhu; Haizhi Zhang] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China;Key Laboratory for Deep Processing of Major Grain and Oil (Wuhan Polytechnic University), Ministry of Education, China;Hubei Key Laboratory for Processing and Transformation of Agricultural Products (Wuhan Polytechnic University), Wuhan, China;[Andreas Blenow] Blennow Holding AB, Malmö, Sweden;[Xinguang Qin; Gang Liu] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China<&wdkj&>Key Laboratory for Deep Processing of Major Grain and Oil (Wuhan Polytechnic University), Ministry of Education, China<&wdkj&>Hubei Key Laboratory for Processing and Transformation of Agricultural Products (Wuhan Polytechnic University), Wuhan, China
通讯机构：
[Xinguang Qin] C;College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430023, China<&wdkj&>Key Laboratory for Deep Processing of Major Grain and Oil (Wuhan Polytechnic University), Ministry of Education, China<&wdkj&>Hubei Key Laboratory for Processing and Transformation of Agricultural Products (Wuhan Polytechnic University), Wuhan, China
摘要：
Stability of frozen dough is a key index to assess the quality of the final baked product. Starch, as the main component of dough, has a significant effect on freezing stability. In this study, wheat starch was modified by esterification with octenyl succinic anhydride (OSA), combined with glucoamylase and α-amylase hydrolytic treatmentsin combinations: OSA modified starch (OSAS), enzyme modified starch (EMS), OSA → enzyme modified starch (OEMS) and enzyme → OSA modified starch (EOMS) and added to doughs at 2 %, 4 %, 6 % concentrations. Intermolecular hydrogen bonds and other molecular forces, were analyzed and the influence of the modified starches on frozen dough storage stability after 0, 2 and 4 weeks storage was studied and the modified starch with best performance applied to the bread processed by frozen dough. After four weeks of freezing, the dehydration rate of the frozen dough increased by 22.4 %, and its water-holding capacity was significantly impaired. At various stages, the maximum creep strain values of the dough were ranked as follows: 4 % OSAS >6 % OSAS >2 % OSAS. After freezing for 0 and 2 weeks, compared to the dough without added modified starch, the free thiol content of the frozen dough with 4 % OSAS added decreased by 3.4 % and 8.0 %, respectively. Quality characteristics and in vitro digestion characteristics were characterized. After 4 weeks of freezing and storage, the specific volume of bread in the group with added 6 % EOMS increased by 14.2 %, and the pGI value decreased by 30.9 %. This study provides a new concept for developing frozen dough storage stability improvers and bread processing quality improvers.
Stability of frozen dough is a key index to assess the quality of the final baked product. Starch, as the main component of dough, has a significant effect on freezing stability. In this study, wheat starch was modified by esterification with octenyl succinic anhydride (OSA), combined with glucoamylase and α-amylase hydrolytic treatmentsin combinations: OSA modified starch (OSAS), enzyme modified starch (EMS), OSA → enzyme modified starch (OEMS) and enzyme → OSA modified starch (EOMS) and added to doughs at 2 %, 4 %, 6 % concentrations. Intermolecular hydrogen bonds and other molecular forces, were analyzed and the influence of the modified starches on frozen dough storage stability after 0, 2 and 4 weeks storage was studied and the modified starch with best performance applied to the bread processed by frozen dough. After four weeks of freezing, the dehydration rate of the frozen dough increased by 22.4 %, and its water-holding capacity was significantly impaired. At various stages, the maximum creep strain values of the dough were ranked as follows: 4 % OSAS >6 % OSAS >2 % OSAS. After freezing for 0 and 2 weeks, compared to the dough without added modified starch, the free thiol content of the frozen dough with 4 % OSAS added decreased by 3.4 % and 8.0 %, respectively. Quality characteristics and in vitro digestion characteristics were characterized. After 4 weeks of freezing and storage, the specific volume of bread in the group with added 6 % EOMS increased by 14.2 %, and the pGI value decreased by 30.9 %. This study provides a new concept for developing frozen dough storage stability improvers and bread processing quality improvers.
摘要：
Ethnopharmacological relevance Gouty arthritis (GA) is a disease caused by the malfunction of purine and/or uric acid metabolism. Tongzhi Surunjing Pills (TZSRJP), a traditional Chinese medicine formula derived from the ancient Uyghur book “Karzhibadin Kadeer”, is used clinically to treat GA, which still needs more research in its complex regulatory mechanisms.
Gouty arthritis (GA) is a disease caused by the malfunction of purine and/or uric acid metabolism. Tongzhi Surunjing Pills (TZSRJP), a traditional Chinese medicine formula derived from the ancient Uyghur book “Karzhibadin Kadeer”, is used clinically to treat GA, which still needs more research in its complex regulatory mechanisms.
Aim of study The aim of the study was to elucidate the main potential active components of TZSRJP and the mechanism by which it treated GA.
The aim of the study was to elucidate the main potential active components of TZSRJP and the mechanism by which it treated GA.
Methods We used network pharmacology and molecular docking to predict possible active ingredients and targets, and UPLC-MS to identify the content of key components, followed by transcriptomics to analyze targets of action and also demonstrated our hypothesis in rats.
We used network pharmacology and molecular docking to predict possible active ingredients and targets, and UPLC-MS to identify the content of key components, followed by transcriptomics to analyze targets of action and also demonstrated our hypothesis in rats.
Results Network pharmacology showed that TZSRJP Contained 120 active components and 934 potential targets. 9 of major active ingredients, such as gallic acid, colchicine, senoside A, and so on were identified and quantified by UPLC-MS. KEGG predicted the therapeutic effects mainly through NOD-like receptor pathway, Toll-like receptor pathway, and NF-κB pathway; molecular docking showed that its main active ingredients had high affinity with inflammation-related proteins such as NLRP3, IL-1β, and TNF. Transcriptomics also verified that the therapeutic effects were mainly carried out through inflammatory pathways. In vivo experiments verified the efficacy of TZSRJP in the treatment of GA and reduced the expression of proteins and genes related to the NLRP3 pathway. Therefore, TZSRJP alleviates GA development through the NLRP3 pathway, and the main components contain colchicine, gallic acid, and so on.
Network pharmacology showed that TZSRJP Contained 120 active components and 934 potential targets. 9 of major active ingredients, such as gallic acid, colchicine, senoside A, and so on were identified and quantified by UPLC-MS. KEGG predicted the therapeutic effects mainly through NOD-like receptor pathway, Toll-like receptor pathway, and NF-κB pathway; molecular docking showed that its main active ingredients had high affinity with inflammation-related proteins such as NLRP3, IL-1β, and TNF. Transcriptomics also verified that the therapeutic effects were mainly carried out through inflammatory pathways. In vivo experiments verified the efficacy of TZSRJP in the treatment of GA and reduced the expression of proteins and genes related to the NLRP3 pathway. Therefore, TZSRJP alleviates GA development through the NLRP3 pathway, and the main components contain colchicine, gallic acid, and so on.
通讯机构：
[Shan Zeng] W;Wuhan Polytechnic University, Wuhan, 430023, China
摘要：
Hyperspectral imaging (HSI) has emerged as a powerful non-destructive sensing technology for detailed quality assessment of agricultural and food products. However, the high dimensionality, redundancy, and nonlinear inter-band dependencies inherent in HSI data present major challenges for model efficiency, robustness, and interpretability. Traditional band selection methods often rely on linear assumptions, neglect inter-band dependencies, fail to model hierarchical spectral features, and lack task-specific adaptability, thereby limiting their practical utility. To overcome these limitations, this study proposes a dual-phase spectral sequence modeling framework, inspired by natural language processing, where hyperspectral bands are treated as a wavelength-ordered sequence. The first phase employs Long Short-Term Memory (LSTM) networks to extract local spectral dynamics by explicitly modeling short-range band-to-band interactions. The second phase leverages Transformer-based self-attention mechanisms to globally optimize band selection by capturing long-range spectral dependencies and assigning task-adaptive weights. This hierarchical design bridges local physical coherence and global contextual relevance, while an attention-guided sparsity constraint enhances interpretability. Taking early-stage apple bruise detection as a representative application, the proposed method achieves state-of-the-art performance, with a precision of 98.43 %, recall of 98.29 %, and F1-score of 0.98, using a compact set of physically meaningful bands. These bands correspond to absorption features associated with moisture variation and cellular damage. The results demonstrate that LSTM's local sequential modeling and Transformer's global dependency discovery are mutually necessary. This work advances HSI-based quality inspection by unifying structural priors, task-driven learning, and interpretable band selection for real-world deployment.
Hyperspectral imaging (HSI) has emerged as a powerful non-destructive sensing technology for detailed quality assessment of agricultural and food products. However, the high dimensionality, redundancy, and nonlinear inter-band dependencies inherent in HSI data present major challenges for model efficiency, robustness, and interpretability. Traditional band selection methods often rely on linear assumptions, neglect inter-band dependencies, fail to model hierarchical spectral features, and lack task-specific adaptability, thereby limiting their practical utility. To overcome these limitations, this study proposes a dual-phase spectral sequence modeling framework, inspired by natural language processing, where hyperspectral bands are treated as a wavelength-ordered sequence. The first phase employs Long Short-Term Memory (LSTM) networks to extract local spectral dynamics by explicitly modeling short-range band-to-band interactions. The second phase leverages Transformer-based self-attention mechanisms to globally optimize band selection by capturing long-range spectral dependencies and assigning task-adaptive weights. This hierarchical design bridges local physical coherence and global contextual relevance, while an attention-guided sparsity constraint enhances interpretability. Taking early-stage apple bruise detection as a representative application, the proposed method achieves state-of-the-art performance, with a precision of 98.43 %, recall of 98.29 %, and F1-score of 0.98, using a compact set of physically meaningful bands. These bands correspond to absorption features associated with moisture variation and cellular damage. The results demonstrate that LSTM's local sequential modeling and Transformer's global dependency discovery are mutually necessary. This work advances HSI-based quality inspection by unifying structural priors, task-driven learning, and interpretable band selection for real-world deployment.
期刊：
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,2026年347:126972 ISSN：1386-1425
通讯作者：
Yuqi Wan<&wdkj&>Fuwei Pi
作者机构：
[Pi, Fuwei; Hu, Mengling; Jiang, Guoyong; Qi, Junjie; Li, Jingkun; Wan, Yuqi] State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China;[Hu, Mengling; Jiang, Guoyong; Qi, Junjie; Li, Jingkun; Wan, Yuqi] Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China;[Wang, Jiahua] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, People's Republic of China;[Pi, Fuwei] Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China. Electronic address: pifuwei@jiangnan.edu.cn
通讯机构：
[Yuqi Wan; Fuwei Pi] S;State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China<&wdkj&>Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, Jiangsu 214122, People's Republic of China
摘要：
Dimethoate (DMT), an organophosphate pesticide, is extensively employed in agriculture for pest management, however its persistent residues raise critical concerns regarding human health and environmental safety, necessitating the development of reliable quantification methods for residual monitoring. The sensor utilizes silver-coated gold nanostructures (AuNSs@Ag), which possess bimetallic properties and intrinsic peroxidase-like activity, to catalyze the H 2 O 2 -mediated oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB). This reaction results in the formation of a blue oxidation product (ox-TMB), producing a distinct colorimetric signal. Simultaneously, this reaction generates a characteristic SERS fingerprint spectrum of ox-TMB. However, upon the introduction of DMT, competitive adsorption occurs between DMT and TMB for the active sites on the surface of AuNSs@Ag, resulting in a reduction of the reactive sites on AuNSs@Ag and a decrease in its peroxidase-like activity. Consequently, the formation of ox-TMB is reduced, leading to a diminished transition from the colorless to the blue state, as well as a weakened SERS signal. Therefore, this dual-mode probe enables specific and highly sensitive detection of DMT. The limit of detection (LOD) for DMT was determined to be 6.76 μg/L using the colorimetric method and 1.19 μg/L using the SERS method. In real sample applications, such as in apples and celery, the recovery rates ranged from 88.33 % to 116.67 %, with relative standard deviations (RSD) below 5 %. This dual-mode sensor offers a simple, rapid, and cost-effective approach for on-site detection of DMT, presenting significant potential for applications in food safety monitoring and environmental protection.
Dimethoate (DMT), an organophosphate pesticide, is extensively employed in agriculture for pest management, however its persistent residues raise critical concerns regarding human health and environmental safety, necessitating the development of reliable quantification methods for residual monitoring. The sensor utilizes silver-coated gold nanostructures (AuNSs@Ag), which possess bimetallic properties and intrinsic peroxidase-like activity, to catalyze the H 2 O 2 -mediated oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB). This reaction results in the formation of a blue oxidation product (ox-TMB), producing a distinct colorimetric signal. Simultaneously, this reaction generates a characteristic SERS fingerprint spectrum of ox-TMB. However, upon the introduction of DMT, competitive adsorption occurs between DMT and TMB for the active sites on the surface of AuNSs@Ag, resulting in a reduction of the reactive sites on AuNSs@Ag and a decrease in its peroxidase-like activity. Consequently, the formation of ox-TMB is reduced, leading to a diminished transition from the colorless to the blue state, as well as a weakened SERS signal. Therefore, this dual-mode probe enables specific and highly sensitive detection of DMT. The limit of detection (LOD) for DMT was determined to be 6.76 μg/L using the colorimetric method and 1.19 μg/L using the SERS method. In real sample applications, such as in apples and celery, the recovery rates ranged from 88.33 % to 116.67 %, with relative standard deviations (RSD) below 5 %. This dual-mode sensor offers a simple, rapid, and cost-effective approach for on-site detection of DMT, presenting significant potential for applications in food safety monitoring and environmental protection.
期刊：
Materials Research Bulletin,2026年193:113708 ISSN：0025-5408
通讯作者：
Fengjiao Quan<&wdkj&>Zhiping Yang<&wdkj&>Jianfen Li
作者机构：
[Fengjiao Quan; Xiaolan Chen; Wenjuan Shen; Jianfen Li; Fangyuan Chen] College of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, PR China;[Zhiping Yang] School of Materials and Environmental Engineering, Chengdu Technological University, Chengdu 610031, PR China
通讯机构：
[Fengjiao Quan; Jianfen Li] C;[Zhiping Yang] S;College of Chemical and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430023, PR China<&wdkj&>School of Materials and Environmental Engineering, Chengdu Technological University, Chengdu 610031, PR China
摘要：
Photocatalytic degradation is a promising approach for tackling insecticide pollution, such as imidacloprid (IMI), but it faces challenges including low efficiency, long treatment times, and limited mineralization. Herein, we report a method utilizing carboxymethyl cellulose (CMC) macromolecules to regulate the growth of bismuth oxychloride (BiOCl) and synthesize ultra-thin BiOCl nanosheets (UT- BiOCl) for the photocatalytic removal of IMI. UT-BiOCl can photocatalytically degrade 99.9 % of IMI within 80 min. The photocatalytic degradation rate of IMI by UT- BiOCl was 2.4 times that of BiOCl. Moreover, the photocatalytic degradation of IMI by UT- BiOCl was still as high as 90 % after 5 cycles. Further experiments and density functional theory (DFT) show that the regulation of CMC not only significantly improves the separation and transfer efficiency of photogenerated electrons and holes, but also promotes the generation of reactive species. As a result, the photocatalytic performance of the UT- BiOCl was substantially improved. This study offers a feasible strategy for the biomass-assisted synthesis of highly efficient photocatalysts.
Photocatalytic degradation is a promising approach for tackling insecticide pollution, such as imidacloprid (IMI), but it faces challenges including low efficiency, long treatment times, and limited mineralization. Herein, we report a method utilizing carboxymethyl cellulose (CMC) macromolecules to regulate the growth of bismuth oxychloride (BiOCl) and synthesize ultra-thin BiOCl nanosheets (UT- BiOCl) for the photocatalytic removal of IMI. UT-BiOCl can photocatalytically degrade 99.9 % of IMI within 80 min. The photocatalytic degradation rate of IMI by UT- BiOCl was 2.4 times that of BiOCl. Moreover, the photocatalytic degradation of IMI by UT- BiOCl was still as high as 90 % after 5 cycles. Further experiments and density functional theory (DFT) show that the regulation of CMC not only significantly improves the separation and transfer efficiency of photogenerated electrons and holes, but also promotes the generation of reactive species. As a result, the photocatalytic performance of the UT- BiOCl was substantially improved. This study offers a feasible strategy for the biomass-assisted synthesis of highly efficient photocatalysts.
期刊：
WATER AIR AND SOIL POLLUTION,2026年237(1):1-14 ISSN：0049-6979
通讯作者：
Jin Li
作者机构：
[Tianyu Han; Haijun Lu; Xinghua He; Jin Li] School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan, China;State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China;[Guanghui Shao] School of Civil Engineering, Nanjing Forestry University, Nanjing, China;[Yiqie Dong] School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan, China<&wdkj&>State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
通讯机构：
[Jin Li] S;School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan, China
摘要：
Heavy metal contamination, particularly Cr(VI), poses a significant environmental concern, as Cr(VI) is among the most prevalent heavy metals in contaminated soils. This study reports the development of a novel slag-phosphogypsum-based cementitious material (SPCM) synthesised from slag, phosphogypsum, and quicklime. The mechanical properties and micro-mechanisms of SPCM in solidifying Cr(VI)-contaminated silty clay were comprehensively investigated. The study evaluated the effects of SPCM on unconfined compressive strength (UCS), volumetric shrinkage, and Cr(VI) leaching concentration through mechanical performance tests and toxicity leaching tests. The solidification mechanism was further elucidated using Brunauer–Emmett–Teller (BET) specific surface area and pore size distribution tests, X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and scanning electron microscopy (SEM). The results demonstrate that the optimal performance for stabilizing Cr(VI)-contaminated soil was achieved with a 20% SPCM dosage composed of 48.5% slag, 48.5% phosphogypsum, and 3% quicklime, resulting in a UCS of 2.881 MPa and a Cr(VI) leaching concentration of 0.147 mg/L, both of which comply with relevant standards. The hydration products, mainly ettringite and calcium silicate hydrate (C-S–H), were identified as the primary agents contributing to the solidification of the soil. This study provides a novel approach for utilizing solid waste materials and presents an environmentally friendly, cost-effective solution for the remediation of Cr(VI)-contaminated soils.
作者机构：
[Cao, Ruoyu; Tang, Yiwei; Hou, Limin; Hu, Xuelian; Wang, Wenxiu; Pang, Wanyue] College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China;[Hou, Limin] Laboratory of Dietary Component Interactions and Precision Nutrition of Hebei Province, Baoding, 071001, China;[Liu, Xiuying] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430028, China;[Tang, Yiwei] Laboratory of Dietary Component Interactions and Precision Nutrition of Hebei Province, Baoding, 071001, China. Electronic address: tangyiwei81@163.com
通讯机构：
[Yiwei Tang] C;College of Food Science and Technology, Hebei Agricultural University, Baoding, 071001, China<&wdkj&>Laboratory of Dietary Component Interactions and Precision Nutrition of Hebei Province, Baoding, 071001, China
摘要：
The development of precise and efficient analysis technologies for acetamiprid (ACE) and carbendazim (CBZ) is of paramount importance for safeguarding the environment, ensuring food safety and protecting human health. In this study, we present a novel dual-channel fluorescent sensing system for the detection ACE and CBZ. This system integrates photoswitchable polymer dots (Pdots) and carbon dots (CDs) with aptamers and Fe 3 O 4 nanoparticles . Specifically, when irradiated with 465 nm excitation light, only the Pdots probe emits a fluorescent signal. Conversely, when irradiated with 354 nm excitation light, the Pdots probe's fluorescence is quenched, and only the CDs probe emits a signal. This innovative design eliminates interference between the fluorescent probes , thereby enhancing the accuracy and sensitivity of the detection method. Based on competitive binding between the target analytes and the complementary strands (cDNA) immobilized on magnetic Fe 3 O 4 nanoparticles with the fluorescent probes , the sensing system exhibited linear detection ranges of 1–100 ng/mL, with LODs of 0.33 ng/mL for ACE and 0.40 ng/mL for CBZ. We successfully applied this method to the analysis of ACE and CBZ in tap water , apple, and cucumber samples, achieving recoveries of 96.09 %–108.17 % and 94.59 %–109.09 %, respectively. This approach offers a highly promising tool for environmental monitoring and food safety analysis, significantly enhancing the capacity to monitor and manage potential health risks associated with these compounds.
The development of precise and efficient analysis technologies for acetamiprid (ACE) and carbendazim (CBZ) is of paramount importance for safeguarding the environment, ensuring food safety and protecting human health. In this study, we present a novel dual-channel fluorescent sensing system for the detection ACE and CBZ. This system integrates photoswitchable polymer dots (Pdots) and carbon dots (CDs) with aptamers and Fe 3 O 4 nanoparticles . Specifically, when irradiated with 465 nm excitation light, only the Pdots probe emits a fluorescent signal. Conversely, when irradiated with 354 nm excitation light, the Pdots probe's fluorescence is quenched, and only the CDs probe emits a signal. This innovative design eliminates interference between the fluorescent probes , thereby enhancing the accuracy and sensitivity of the detection method. Based on competitive binding between the target analytes and the complementary strands (cDNA) immobilized on magnetic Fe 3 O 4 nanoparticles with the fluorescent probes , the sensing system exhibited linear detection ranges of 1–100 ng/mL, with LODs of 0.33 ng/mL for ACE and 0.40 ng/mL for CBZ. We successfully applied this method to the analysis of ACE and CBZ in tap water , apple, and cucumber samples, achieving recoveries of 96.09 %–108.17 % and 94.59 %–109.09 %, respectively. This approach offers a highly promising tool for environmental monitoring and food safety analysis, significantly enhancing the capacity to monitor and manage potential health risks associated with these compounds.
期刊：
Postharvest Biology and Technology,2026年231:113878 ISSN：0925-5214
通讯作者：
Jiahua Wang<&wdkj&>Ming Zhang
作者机构：
[Haitao Fu; Menglong Ma; Yixiao Wang; Xiaodan Liu; Huang Dai; Jiahua Wang] College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, China;[Ming Zhang] School of Food and Health, Beijing Technology & Business University, Beijing 100048, China;[Ziwei Wang] Wuhan Rayson School, Wuhan, Hubei 430048, China;[Jun Wang] Hubei Key Laboratory of Resource Utilization and Quality Control of Characteristic Crops, Hubei Engineering University, Xiaogan, Hubei 432000, China;School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
通讯机构：
[Jiahua Wang] C;[Ming Zhang] S;School of Food and Health, Beijing Technology & Business University, Beijing 100048, China<&wdkj&>College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, China
摘要：
In markets such as China and Japan, watercore and bruising are decisive factors determining the commercial value of premium-grade 'Fuji' apples. This study presents a non-destructive approach integrating X-ray computed tomography (CT) with image processing and machine learning (ML) to simultaneously detect watercore and bruising, and grade watercore severity. A threshold-based segmentation protocol (grayscale value, GSV > 437 for watercore; GSV < 0 for bruising) enabled precise 3D reconstruction of affected tissues. Key morphological and statistical parameters were extracted, with volume3d, average GSV, and perimeter exhibiting strong correlations to watercore index (WI) (R > 0.8, p < 0.001). Three ML classifiers—LDA, SVM, and RF—achieved validation accuracies of 82.87 %, 91.20 %, and 90.28 % for four-grade WI classification (Normal, WI=1–3), supported by high AUCs (>0.9). SHAP analysis confirmed cross-model consistency in feature importance (volume3d, A-GSV, perimeter). Crucially, CT tracked watercore remission during storage: watercore volume fraction (WVF) declined from 13.04 % (WI=1), 17.53 % (WI=2), and 33.5 % (WI=3) to 3.6–10.1 % after 9 weeks at 4°C. We established a diagnostic WVF threshold of 11.2 % and proposed storage protocols: WI= 1 for immediate sale, WI= 2 storage ≤ 6 weeks, WI= 3 consumption ≤ 8 weeks. The framework optimizes sensory quality, market value, and supply chain efficiency, providing a scientific basis for the development of targeted distribution strategies.
In markets such as China and Japan, watercore and bruising are decisive factors determining the commercial value of premium-grade 'Fuji' apples. This study presents a non-destructive approach integrating X-ray computed tomography (CT) with image processing and machine learning (ML) to simultaneously detect watercore and bruising, and grade watercore severity. A threshold-based segmentation protocol (grayscale value, GSV > 437 for watercore; GSV < 0 for bruising) enabled precise 3D reconstruction of affected tissues. Key morphological and statistical parameters were extracted, with volume3d, average GSV, and perimeter exhibiting strong correlations to watercore index (WI) (R > 0.8, p < 0.001). Three ML classifiers—LDA, SVM, and RF—achieved validation accuracies of 82.87 %, 91.20 %, and 90.28 % for four-grade WI classification (Normal, WI=1–3), supported by high AUCs (>0.9). SHAP analysis confirmed cross-model consistency in feature importance (volume3d, A-GSV, perimeter). Crucially, CT tracked watercore remission during storage: watercore volume fraction (WVF) declined from 13.04 % (WI=1), 17.53 % (WI=2), and 33.5 % (WI=3) to 3.6–10.1 % after 9 weeks at 4°C. We established a diagnostic WVF threshold of 11.2 % and proposed storage protocols: WI= 1 for immediate sale, WI= 2 storage ≤ 6 weeks, WI= 3 consumption ≤ 8 weeks. The framework optimizes sensory quality, market value, and supply chain efficiency, providing a scientific basis for the development of targeted distribution strategies.
作者机构：
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China;School of Food Science and Engineering, Qilu University of Technology, Jinan, Shandong, China;[Qian Shen] School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, 430048, China;[Shuxin Ye] College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, China;Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University), Ministry of Education, China
通讯机构：
[Bin Li] C;College of Food Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China<&wdkj&>School of Food Science and Engineering, Qilu University of Technology, Jinan, Shandong, China<&wdkj&>Key Laboratory of Environment Correlative Dietology (Huazhong Agricultural University), Ministry of Education, China
摘要：
Interfacial compositions and fat crystals are critical determinants of rigid foam structures in whipping creams. This study investigated the fundamental whipping mechanism of whipped cream without low-molecule-weight-emulsifiers (LMWEs), including textural changes, evolution of fat partial coalescence behavior, and changes in adsorption of interfacial proteins. The LMWE-free whipping cream was formed only by shea butter and gliadin nanoparticles (GNPs). Unlike conventional systems, air incorporation primarily occurred at the initial stage, followed by a gradual decline in overrun with continuous whipping. Notably, the whipped cream exhibited exceptional structural integrity during over-whipping, attributed to its densely packed architecture. Within droplets, partial crystallization was observed, with small crystals preferentially localized at the oil-water interface. However, after the whipping endpoint, partial coalescence preferentially occurred between partially coalesced clumps rather than individual droplets, attributed to their larger volume and higher volume fractions. Additionally, partial coalescence induced changes in interfacial adsorbed proteins. Quantitative proteomics revealed that γ-gliadin was preferentially adsorbed, whereas α/β-gliadin and ω-gliadin were not. Overall, the formation mechanism of this emulsifier-free cream differed significantly from conventional creams. These findings provide new insights into the dynamic process of shear-induced fat coalescence and protein adsorption, offering a theoretical basis for designing clean-label aerated food products.
Interfacial compositions and fat crystals are critical determinants of rigid foam structures in whipping creams. This study investigated the fundamental whipping mechanism of whipped cream without low-molecule-weight-emulsifiers (LMWEs), including textural changes, evolution of fat partial coalescence behavior, and changes in adsorption of interfacial proteins. The LMWE-free whipping cream was formed only by shea butter and gliadin nanoparticles (GNPs). Unlike conventional systems, air incorporation primarily occurred at the initial stage, followed by a gradual decline in overrun with continuous whipping. Notably, the whipped cream exhibited exceptional structural integrity during over-whipping, attributed to its densely packed architecture. Within droplets, partial crystallization was observed, with small crystals preferentially localized at the oil-water interface. However, after the whipping endpoint, partial coalescence preferentially occurred between partially coalesced clumps rather than individual droplets, attributed to their larger volume and higher volume fractions. Additionally, partial coalescence induced changes in interfacial adsorbed proteins. Quantitative proteomics revealed that γ-gliadin was preferentially adsorbed, whereas α/β-gliadin and ω-gliadin were not. Overall, the formation mechanism of this emulsifier-free cream differed significantly from conventional creams. These findings provide new insights into the dynamic process of shear-induced fat coalescence and protein adsorption, offering a theoretical basis for designing clean-label aerated food products.
