2025 July 20

Our publications




2026

  1. Zhang, J., Xing, H., Di Pizio, A., Ke, Q., Kou, X., Zhang, D.* Molecular atlas of key food odorants reveals structured aroma organization and enables generative aroma design. bioRxiv, 2026. DOI: 10.64898/2026.01.21.700072.
  2. Zhang, D.*; Wang, Z.; Oberschelp, C.; Jing, H.; Hellweg, S. Mapping the Carbon Footprint of Chemicals in Commerce. ChemRxiv 2026. DOI: 10.26434/chemrxiv.15001530/v1.
  3. Ke, Q., Zhang, J., Huang, X., Kou, X., Zhang, D.* Machine learning unveils three layers of food complexity. npj Science of Food, 2026 10, 87. DOI: 10.1038/s41538-026-00730-w.
  4. Shi, P., Huang, X., Ke, Q., Kou, X., Zhang, D.* Mapping sleep-promoting volatiles in aromatic plants with machine learning: A comprehensive survey of 2,300 molecules. Digital Discovery 2026, 5, 1068-1078. DOI: 10.1039/d5dd00173k. (Invited, cover story)
  5. Zhang, D.* Practical guide for food scientists to build AI: Data, algorithms, and applications. Food Chemistry, 2026 499, 147281. DOI: 10.1016/j.foodchem.2025.147281(Invited)
  6. Leow, Z. M., Fu, C., Zhang, D.* Food Informatics: Leveraging data and knowledge to advance food systems. The Innovation Informatics, 2026 accepted. https://doi.org/10.59717/j.xinn-inform.2026.100038 (Invited)
  7. Xu, Y., et al. AI for science: Progress, challenges, and perspectives. The Innovation, 2026 accepted.
  8. Shi, P., Liu, S., Mao, J., Liu, X., Tu, R., Qin, H., Sun, A., Zhang, D., Mao, J.* AI-driven exploration of microbial resources in fermented foods. Trends in Food Science & Technology 2026, 167, 105450. DOI: 10.1016/j.tifs.2025.105450.
  9. Wang, C., ..., Zhang, D., Fan, D., Wang, W., Ma, P.*, Wang, F.* Embodied Artificial Intelligence in the Food Supply Chain: Innovations, Challenges, and Future Perspectives, Trends in Food Science & Technology, 2026, 105698. DOI: 10.1016/j.tifs.2026.105698
  10. Zhang, J., Xu, J., Zhang, D., Huang, X., Ke, Q., Liu, H., Zhu, F., Yan, L. Distinguishing similar food aromas: EEG-based perception of tea and mint odors. Journal of Future Foods, 2026.

 

2025

  1. Zhang, D.*, Liu, M., Yu, Z., Xu, H., Pfister, S., Menichetti, G., . . . Rao, P. Domain knowledge, just evaluation, and robust data standards are required to advance AI in food science. Trends in Food Science & Technology 2025, 105272. DOI: 10.1016/j.tifs.2025.105272.
  2. Qiu, Y.#; Zhang, D.#; Long, M.; Zhou, Z.; Gao, C.; Ma, S.; Qin, J.; Chen, K.; Chen, C.; Zhao, Z.; Deng, H. Coassembly of hybrid microscale biomatter for robust, water-processable, and sustainable bioplastics. Science Advances 2025, 11 (14), eadr1596. DOI: 10.1126/sciadv.adr1596.
  3. Ye, T.#; Zhang, D.#; Xing, H#.; .. Hu, Q-N; Wu, A. Computational glycosyltransferases masked deoxynivalenol toxicity and halted FHB spread in wheat grains. Journal of Advanced Research 2025. DOI: 10.1016/j.jare.2025.08.045.
  4. Jiao, X.; Zhu, J.; Ye, W.; Zou, H.; Yan, B.; Zhang, N.; Qiang, J.; Tao, Y.; Zhang, H.; Zhang, D.*; Fan, D. Artificial intelligence in smart seafood safety across the supply chains: Recent advances and future prospects. Trends in Food Science & Technology 2025, 163. DOI: 10.1016/j.tifs.2025.105161.
  5. Qiao, G.; Zhang, D.; Zhang, N.; Shen, X.; Jiao, X.; Lu, W.; Fan, D.; Zhao, J.; Zhang, H.; Chen, W.; Jin, Z.. Food recommendation towards personalized wellbeing. Trends in Food Science & Technology 2025, 156. DOI: 10.1016/j.tifs.2025.104877.
  6. Qiu, Y.; Zhang, D; ... Zhao, Z.; Deng, H. Hierarchical assembly of biomass fiber-lamella-macromolecule networks for biocomposites with high strength and water-resistant sealing. Proceedings of the National Academy of Sciences of the United States of America (PNAS) 2025.DOI: 10.1073/pnas.2521173122.
  7. Schmid, C.; Kastner, F.; Zhang, D.; Langenberg, S.; Hellweg, S. Spatiotemporal mapping of Swiss exterior wall material stock using a large language model and architectural history. Journal of Industrial Ecology 2025. DOI: 10.1111/jiec.70058.
  8. Ding, S.; Tian, Y.; Liu, D.; Zhang, D.; Xing, H.; Chen, J.; Liu, Z.; Hu, Q. N.. RxnCluster: A web-based tool for exploring reaction clusters leading to target molecules by digitalizing typical biosynthetic patterns. ACS Synthetic Biology 2025.
  9. Tian, Y.; Yang, L.; Ding, S.; Zhang, D.; Yuan, L.; Liu, Z.; Hu, Q. N. BioTRY: A comprehensive knowledge base for titer, rate, and yield of biosynthesis. ACS Synthetic Biology 2025 14, 285-289.
  10. Ding, S.; Liu, D.; Tian, Y.; Zhang, D.; Xing, H.; Chen, J.; Liu, Z.; Hu, Q. N. From reactants to products: computational methods for biosynthetic pathway design. Synthetic and Systems Biotechnology 2025, 10 (3), 1038-1049. DOI: 10.1016/j.synbio.2025.05.005.
  11. Cai, P.; Liu, D.; Xing, H.; Zhang, D.; Le, Y.; Wu, A.; Hu, Q. N. DeepMBEnzy: An AI-driven database of mycotoxin biotransformation enzymes. J Agric Food Chem 2025. DOI: 10.1021/acs.jafc.5c02477.
  12. Zhang, S.; Ye, Y.; Jian, J.; Zhang, D.; Sun, X. A transfer learning approach to predict the combined toxicity of mycotoxins with limited data. Food Biosciences 2025 74, 108060. DOI: 10.1021/acs.jafc.5c02477.
  13. Qian, J.; Wang, X.; Song, F.; Liang, Y.; Zhu, Y.; Fang, Y.; Zeng, W.; Zhang, D.; Dong, J. ChemSweet: An AI-driven computational platform for next-gen sweetener discovery. Food Chemistry 2025, 463, 141362. DOI: 10.1016/j.foodchem.2024.141362.
  14. Zhang, D.*, From molecules to perception: A benchmark dataset for AI in sensory science, NeurIPS2025-AI4Science, 2025.

 

2023-2024

  1. Zhang, D.*; Wang, Z.; Oberschelp, C.; Bradford, E.; Hellweg, S. Enhanced Deep-Learning Model for Carbon Footprints of Chemicals. ACS Sustainable Chemistry & Engineering 2024, 12 (7), 2700-2708. DOI: 10.1021/acssuschemeng.3c07038.
  2. Zhang, D.; Xing, H.; Liu, D.; Han, M.; Cai, P.; Lin, H.; Tian, Y.; Guo, Y.; Sun, B.; Le, Y.; et al. Discovery of Toxin-Degrading Enzymes with Positive Unlabeled Deep Learning. ACS Catalysis 2024, 14, 3336-3348. DOI: 10.1021/acscatal.3c04461.
  3. Zhang, D.*; Liu, D.; Jing, J.; Jia, B.; Tian, Y.; Le, Y.; Yu, Y.; Hu, Q.-N. Unveiling the chemical complexity of food-risk components: A comprehensive data resource guide in 2024. Trends in Food Science & Technology 2024, 148. DOI: 10.1016/j.tifs.2024.104513.
  4. Xing, H.; Cai, P.; Liu, D.; Han, M.; Liu, J.; Le, Y.; Zhang, D.*; Hu, Q.-N. High-throughput prediction of enzyme promiscuity based on substrate–product pairs. Briefings in Bioinformatics 2024, 25 (2). DOI: 10.1093/bib/bbae089.
  5. Kou, X.; Shi, P.; Gao, C.; Ma, P.; Xing, H.; Ke, Q.; Zhang, D.* Data-Driven Elucidation of Flavor Chemistry. J Agric Food Chem 2023, 71 (18), 6789-6802. DOI: 10.1021/acs.jafc.3c00909.
  6. Zhang, D.*; Jia, C.; Sun, D.; Gao, C.; Fu, D.; Cai, P.; Hu, Q. N. Data-Driven Prediction of Molecular Biotransformations in Food Fermentation. J Agric Food Chem 2023, 71 (22), 8488-8496. DOI: 10.1021/acs.jafc.3c01172. 
  7. Ji, J.#; Zhang, D.#; Ye, J.; Zheng, Y.; Cui, J.; Sun, X. MycotoxinDB: A Data-Driven Platform for Investigating Masked Forms of Mycotoxins. J Agric Food Chem 2023, 71 (24), 9501-9507. DOI: 10.1021/acs.jafc.3c01403.
  8. Zhang, H.; Zhang, D.*; Wei, Z.; Li, Y.; Wu, S.; Mao, Z.; He, C.; Ma, H.; Zeng, X.; Xie, X.; et al. Analysis of public opinion on food safety in Greater China with big data and machine learning. Current Research in Food Science 2023, 6. DOI: 10.1016/j.crfs.2023.100468.
  9. Xing, H.; Zhang, D.; Cai, P.; Zhang, R.; Hu, Q. N. RDBridge: a knowledge graph of rare diseases based on large-scale text mining. Bioinformatics 2023, 39 (7). DOI: 10.1093/bioinformatics/btad440.
  10. Cai, P.; Liu, S.; Zhang, D.; Xing, H.; Han, M.; Liu, D.; Gong, L.; Hu, Q. N. SynBioTools: a one-stop facility for searching and selecting synthetic biology tools. BMC Bioinformatics 2023, 24 (1), 152. DOI: 10.1186/s12859-023-05281-5.
  11. Cai, P.; Liu, S.; Zhang, D.; Hu, Q. N. MCF2Chem: A manually curated knowledge base of biosynthetic compound production. Biotechnol Biofuels Bioprod 2023, 16 (1), 167. DOI: 10.1186/s13068-023-02419-8.
  12. Zhang D, Xing H, Liu D, Han M, Cai P, Lin H, et al. Deep Learning Enables Rapid Identification of Mycotoxin-Degrading Enzymes. ChemRxiv. 2023; doi:10.26434/chemrxiv-2023-g6qb5.

 

Before 2023

https://orcid.org/0000-0003-2467-6286