Kang Tu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Kang Tu has a total of 296 co-authors. Here are the top co-authors by number of shared publications:
- Leiqing Pan
College of Food Science and Technology Nanjing Agricultural University Nanjing Jiangsu China
45 shared publications Leiqing Pan
39 shared publicationsDandan Zhou
20 shared publicationsJing Peng
16 shared publications- Weijie Lan
College of Food Science and Technology Nanjing Agricultural University Nanjing Jiangsu China
15 shared publications - Jing Peng
College of Food Science and Technology, Nanjing Agricultural University, No. 1 Weigang Road, Nanjing 210095, China
9 shared publications
Latest Publications
- 23 October 2026
- Published by Elsevier in International Journal of Biological Macromolecules
- Vol. 385, 155003
Development of 3D printed pea protein isolate-based composite spinach as dysphagia diets
- 23 October 2026
- Published by Elsevier in International Journal of Biological Macromolecules
- Vol. 385, 155003
Development of 3D printed pea protein isolate-based composite spinach as dysphagia diets
- 29 September 2026
- Published by Wiley in Comprehensive Reviews in Food Science and Food Safety
- Vol. 25 (6)
From Structural Heterogeneity to Photon Transport Simulation: A Comprehensive Review of Optical Nondestructive Evaluation in Multilayered Fruit and Vegetable Matrices
Optical nondestructive evaluation has become an indispensable tool for quality assessment in the food industry. Revealing light propagation mechanisms in multilayered fruit and vegetable tissues improves detection model accuracy and robustness. In fact, most natural and processed fruit and vegetable materials inherently exhibit layered structures, leading to inevitable deviations in optical signals interpretation and quality prediction. The complex structure and heterogeneous composition of fruit and vegetable matrices pose great challenges to light–tissue interaction analysis. This review summarizes the layer‐specific differences in optical properties based on structural and compositional heterogeneity of fruit and vegetable matrices, using representative cases of other food matrices for comparison. It further addresses light propagation in multilayered fruit and vegetable tissues together with research on the optimization of detection parameters. Finally, a unified framework is proposed that integrates physicochemical properties, optical properties, and photon transport simulations to achieve mechanism‐guided optimization for nondestructive detection. Notably, the advances of Monte Carlo (MC) simulation empowered by artificial intelligence (AI) are highlighted in denoising, accelerating computation, and improving prediction accuracy. AI‐assisted MC simulation provides support for the efficient and high‐precision prediction of light propagation in multilayer tissues, and lays a solid foundation for the progress of food photonics.
- 29 September 2026
- Published by Wiley in Comprehensive Reviews in Food Science and Food Safety
- Vol. 25 (6)
From Structural Heterogeneity to Photon Transport Simulation: A Comprehensive Review of Optical Nondestructive Evaluation in Multilayered Fruit and Vegetable Matrices
Optical nondestructive evaluation has become an indispensable tool for quality assessment in the food industry. Revealing light propagation mechanisms in multilayered fruit and vegetable tissues improves detection model accuracy and robustness. In fact, most natural and processed fruit and vegetable materials inherently exhibit layered structures, leading to inevitable deviations in optical signals interpretation and quality prediction. The complex structure and heterogeneous composition of fruit and vegetable matrices pose great challenges to light–tissue interaction analysis. This review summarizes the layer‐specific differences in optical properties based on structural and compositional heterogeneity of fruit and vegetable matrices, using representative cases of other food matrices for comparison. It further addresses light propagation in multilayered fruit and vegetable tissues together with research on the optimization of detection parameters. Finally, a unified framework is proposed that integrates physicochemical properties, optical properties, and photon transport simulations to achieve mechanism‐guided optimization for nondestructive detection. Notably, the advances of Monte Carlo (MC) simulation empowered by artificial intelligence (AI) are highlighted in denoising, accelerating computation, and improving prediction accuracy. AI‐assisted MC simulation provides support for the efficient and high‐precision prediction of light propagation in multilayer tissues, and lays a solid foundation for the progress of food photonics.
- Open Access
TOCNF/Nisin-Stabilized Oregano Oil Pickering Emulsions Enhance Chitosan Quaternary Ammonium Salt/Propolis Films for Green Cherry Tomato Preservation
Essential oils are difficult to disperse in hydrophilic films and may separate or volatilize during processing. We prepared chitosan quaternary ammonium salt/propolis films containing a TEMPO-oxidized cellulose nanofibril (TOCNF)/nisin-stabilized Pickering emulsion loaded with oregano essential oil. Two independent formulation variables were examined: the nisin fraction in the TOCNF/nisin particles (0–35% of particle mass) was first screened to select the emulsion stabilizer composition, whereas the selected TNO emulsion was subsequently added at 20%, 30%, 40%, or 50% (v/v) of the initial film-forming solution. At 25% nisin, encapsulation efficiency reached 88.0%, and the polydispersity index was 0.15, so this formulation was used in the films. As emulsion loading increased, the films became lighter and opacity fell from 19.75 to 4.81 A mm−1. HCP/TNO30 reached a tensile strength of 45.18 MPa, but elongation at break decreased from 65.35% to 28.11% across the series. Water vapor and oxygen permeability were lowest at 40% loading. HCP/TNO50 had the highest radical-scavenging and antibacterial activities. It also reduced weight loss and quality deterioration during 12 days of green cherry tomato storage. No loading optimized every property. Mechanical strength and barrier performance peaked at 30% and 40%, respectively, while active preservation continued to improve up to 50%.
Open AccessTOCNF/Nisin-Stabilized Oregano Oil Pickering Emulsions Enhance Chitosan Quaternary Ammonium Salt/Propolis Films for Green Cherry Tomato Preservation
Essential oils are difficult to disperse in hydrophilic films and may separate or volatilize during processing. We prepared chitosan quaternary ammonium salt/propolis films containing a TEMPO-oxidized cellulose nanofibril (TOCNF)/nisin-stabilized Pickering emulsion loaded with oregano essential oil. Two independent formulation variables were examined: the nisin fraction in the TOCNF/nisin particles (0–35% of particle mass) was first screened to select the emulsion stabilizer composition, whereas the selected TNO emulsion was subsequently added at 20%, 30%, 40%, or 50% (v/v) of the initial film-forming solution. At 25% nisin, encapsulation efficiency reached 88.0%, and the polydispersity index was 0.15, so this formulation was used in the films. As emulsion loading increased, the films became lighter and opacity fell from 19.75 to 4.81 A mm−1. HCP/TNO30 reached a tensile strength of 45.18 MPa, but elongation at break decreased from 65.35% to 28.11% across the series. Water vapor and oxygen permeability were lowest at 40% loading. HCP/TNO50 had the highest radical-scavenging and antibacterial activities. It also reduced weight loss and quality deterioration during 12 days of green cherry tomato storage. No loading optimized every property. Mechanical strength and barrier performance peaked at 30% and 40%, respectively, while active preservation continued to improve up to 50%.
- 9 September 2026
- Published by Elsevier in Food Control
- Vol. 193
Fusion-driven prediction of strawberry comprehensive physicochemical index using dual-band hyperspectral imaging and CNN-transformer network
- 9 September 2026
- Published by Elsevier in Food Control
- Vol. 193
Fusion-driven prediction of strawberry comprehensive physicochemical index using dual-band hyperspectral imaging and CNN-transformer network
- Open Access
3D-Printed Nacre-Inspired Polysaccharide Composite Films with Antibacterial Activity for Strawberry Preservation
To overcome the limitations of conventional biopolymer films and reduce reliance on petroleum-based plastics, a nacre-inspired film was developed via 3D printing. During printing process, shear-induced alignment of mica flakes was achieved within a sodium alginate/xanthan gum matrix. Additionally, zinc oxide nanoparticles (ZnO NPs) were incorporated to achieve a synergistic reinforcement effect. Structural analysis revealed that the mica flakes within the film exhibited an oriented distribution, with ZnO NPs uniformly embedded in the interlayer voids, and hydrogen bonding assisted in forming a dense network of the components. Performance testing showed that the tensile strength rose from 13.8 MPa to 62.9 MPa. Improvements in water resistance and thermal stability were also observed. Furthermore, the material exhibited outstanding comprehensive protective properties, including a low water vapor permeability value of 7.587 × 10−11 g·m/m2·Pa·s, an ultraviolet blocking rate of 99.37% at a wavelength of 280 nm, and the ability to completely inhibit target bacterial strains, while also possessing good biodegradability and recyclability. Shelf-life tests indicated that the film fabricated in this work could notably prolong the shelf life of strawberries. Biocompatibility test results indicated that the film was safe and non-toxic, and showed no significant cytotoxicity.
Open Access3D-Printed Nacre-Inspired Polysaccharide Composite Films with Antibacterial Activity for Strawberry Preservation
To overcome the limitations of conventional biopolymer films and reduce reliance on petroleum-based plastics, a nacre-inspired film was developed via 3D printing. During printing process, shear-induced alignment of mica flakes was achieved within a sodium alginate/xanthan gum matrix. Additionally, zinc oxide nanoparticles (ZnO NPs) were incorporated to achieve a synergistic reinforcement effect. Structural analysis revealed that the mica flakes within the film exhibited an oriented distribution, with ZnO NPs uniformly embedded in the interlayer voids, and hydrogen bonding assisted in forming a dense network of the components. Performance testing showed that the tensile strength rose from 13.8 MPa to 62.9 MPa. Improvements in water resistance and thermal stability were also observed. Furthermore, the material exhibited outstanding comprehensive protective properties, including a low water vapor permeability value of 7.587 × 10−11 g·m/m2·Pa·s, an ultraviolet blocking rate of 99.37% at a wavelength of 280 nm, and the ability to completely inhibit target bacterial strains, while also possessing good biodegradability and recyclability. Shelf-life tests indicated that the film fabricated in this work could notably prolong the shelf life of strawberries. Biocompatibility test results indicated that the film was safe and non-toxic, and showed no significant cytotoxicity.
- 15 April 2026
- Published by Elsevier in Food Research International
- Vol. 235, 119227
A PCR-enhanced UCNPs-WS2 fluorescence biosensor via dual quenching-dual recovery mechanism for rapid detection of Salmonella typhimurium
- 15 April 2026
- Published by Elsevier in Food Research International
- Vol. 235, 119227
A PCR-enhanced UCNPs-WS2 fluorescence biosensor via dual quenching-dual recovery mechanism for rapid detection of Salmonella typhimurium
- Top Cited Papers
- 2 February 2026
- Published by Elsevier in Food Control
- Vol. 184
Toward trustworthy non-destructive mango quality prediction using hyperspectral imaging and explainable AI
- 2 February 2026
- Published by Elsevier in Food Control
- Vol. 184
Top Cited PapersToward trustworthy non-destructive mango quality prediction using hyperspectral imaging and explainable AI