Dr. Nodali Ndraha

Dr. Nodali Ndraha

Food Science Researcher

Publications

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Artikel Jurnal

  1. Ndraha, N., Lin, C. H., Ping, G. A., Tran, G. D., Su, L. M., Huang, C. L., … & Hsiao, H. I. (2024). Assessment and validation of predictive growth models for locally isolated Salmonella enterica and Listeria monocytogenes in alfalfa sprouts at various temperatures. Journal of Food Safety, 44(5), e13171. DOI: 10.1111/jfs.13171
  2. Ndraha, N., Lin, H. Y., Hsiao, H. I., & Lin, H. J. (2024). Managing the microbiological safety of tilapia from farm to consumer. Comprehensive Reviews in Food Science and Food Safety, 23(5), e70023. DOI: 10.1111/1541-4337.70023
  3. Ndraha, N., Lin, H. Y., Wang, C. Y., Hsiao, H. I., & Lin, H. J. (2023). Rapid detection methods for foodborne pathogens based on nucleic acid amplification: Recent advances, remaining challenges, and possible opportunities. Food Chemistry: Molecular Sciences, 7, 100183. DOI: 10.1016/j.fochms.2023.100183
  4. Ndraha, N., Lin, H. Y., Lin, H. J., & Hsiao, H. I. (2023). Modeling the risk of Vibrio parahaemolyticus in oysters in Taiwan by considering seasonal variations, time periods, climate change scenarios, and post-harvest interventions. Microbial Risk Analysis, 25, 100275. DOI: 10.1016/j.mran.2023.100275
  5. Wang, C. Y., Ndraha, N., Wu, R. S., Liu, H. Y., Lin, S. W., Yang, K. M., & Lin, H. Y. (2023). An overview of the potential of food-based carbon dots for biomedical applications. International Journal of Molecular Sciences, 24(23), 16579. DOI: 10.3390/ijms242316579
  6. Ndraha, N., Lin, H. Y., Tsai, S. K., Hsiao, H. I., & Lin, H. J. (2023). The rapid detection of Salmonella enterica, Listeria monocytogenes, and Staphylococcus aureus via polymerase chain reaction combined with magnetic beads and capillary electrophoresis. Foods, 12(21), 3895. DOI: 10.3390/foods12213895
  7. Lin, H. Y., Su, B. Y., Ndraha, N., Tsai, S. F., Chiang, K. P., Liu, H. Y., … & Lin, H. J. (2023). Growth-promoting and low-salt adaptation responses boosted by spermidine in Strombidium parasulcatum, a marine bacteriovorous ciliate potentially applied to live feeds for marine larviculture. Aquaculture, 573, 739616. DOI: 10.1016/j.aquaculture.2023.739616
  8. Ndraha, N., Huang, L., Wu, V. C., & Hsiao, H. I. (2022). Vibrio parahaemolyticus in seafood: Recent progress in understanding influential factors at harvest and food-safety intervention approaches. Current Opinion in Food Science, 48, 100927. DOI: 10.1016/j.cofs.2022.100927
  9. Ndraha, N., Goh, A. P., Tran, G. D., Chen, C. Q., & Hsiao, H. I. (2022). Predictive models for the growth of Salmonella spp., Listeria spp., and Escherichia coli in lettuce harvested on Taiwanese farms. Journal of Food Science, 87(8), 3599-3610. DOI: 10.1111/1750-3841.16236
  10. Ndraha, N., & Hsiao, H. I. (2022). A climate-driven model for predicting the level of Vibrio parahaemolyticus in oysters harvested from Taiwanese farms using elastic net regularized regression. Microbial Risk Analysis, 21, 100201. DOI: 10.1016/j.mran.2022.100201
  11. Lin, H. T. V., Ting, Y. S., Ndraha, N., Hsiao, H. I., & Sung, W. C. (2022). Effect of chitosan incorporation on the development of acrylamide during maillard reaction in fructose–asparagine model solution and the functional characteristics of the resultants. Polymers, 14(8), 1565. DOI: 10.3390/polym14081565
  12. Ndraha, N., Hsiao, H. I., Hsieh, Y. Z., & Pradhan, A. K. (2021). Predictive models for the effect of environmental factors on the abundance of Vibrio parahaemolyticus in oyster farms in Taiwan using extreme gradient boosting. Food Control, 130, 108353. DOI: 10.1016/j.foodcont.2021.108353
  13. Ndraha, N., & Hsiao, H. I. (2021). Influence of climatic factors on the temporal occurrence and distribution of total and pathogenic Vibrio parahaemolyticus in oyster culture environments in Taiwan. Food Microbiology, 98, 103765. DOI: 10.1016/j.fm.2021.103765
  14. Ndraha, N., Wong, H. C., & Hsiao, H. I. (2020). Managing the risk of Vibrio parahaemolyticus infections associated with oyster consumption: A review. Comprehensive Reviews in Food Science and Food Safety, 19(3), 1187-1217. DOI: 10.1111/1541-4337.12557
  15. Ndraha, N., & Hsiao, H. I. (2019). The risk assessment of Vibrio parahaemolyticus in raw oysters in Taiwan under the seasonal variations, time horizons, and climate scenarios. Food Control, 102, 188-196. DOI: 10.1016/j.foodcont.2019.03.020
  16. Ndraha, N., & Hsiao, H. I. (2019). Exposure assessment and sensitivity analysis for chilled shrimp during distribution: A case study of home delivery services in Taiwan. Journal of Food Science, 84(4), 859-870. DOI: 10.1111/1750-3841.14498
  17. Tran, G. D., Ndraha, N., & Hsiao, H. I. (2019). Development of predictive model for the remaining shelf-life of tilapia fillet under variable temperature conditions. Journal of the Fisheries Society of Taiwan, 46(1), 19-30. DOI: 10.29822/JFST.201903_46(1).0002
  18. Ndraha, N., Sung, W. C., & Hsiao, H. I. (2019). Evaluation of the cold chain management options to preserve the shelf life of frozen shrimps: A case study in the home delivery services in Taiwan. Journal of Food Engineering, 242, 21-30. DOI: 10.1016/j.jfoodeng.2018.08.010
  19. Ndraha, N., Hsiao, H. I., Vlajic, J., Yang, M. F., & Lin, H. T. V. (2018). Time-temperature abuse in the food cold chain: Review of issues, challenges, and recommendations. Food Control, 89, 12-21. DOI: 10.1016/j.foodcont.2018.01.027
  20. Ndraha, N., Hsiao, H. I., & Wang, W. C. C. (2017). Comparative study of imported food control systems of Taiwan, Japan, the United States, and the European Union. Food Control, 78, 331-341. DOI: 10.1016/j.foodcont.2017.02.051

Bab/Bagian Buku

  1. Ndraha, N., Vlajic, J., Chang, C. C., & Hsiao, H. I. (2020). Challenges with food waste management in the food cold chains. In Food Industry Wastes (pp. 467-483). Academic Press. DOI: 10.1016/B978-0-12-817121-9.00022-X

Symposium

  1. Tran, G. D., Ndraha, N., Hsiao, H. I., Tsai, G. J., & Tseng, H. J. (2019). Use of predictive modelling for fish quality evaluation under temperature fluctuations. IAFP’s European Symposium on Food Safety (2019.04.24-26), Nantes, France.
  2. Ndraha, N. (2017). Fish quality evaluation using Quality Index Method (QIM), correlating with physical, chemical and bacteriological changes during the ice-storage period: A review. In Proceeding of the 1st International Conference on Tropical Agriculture (pp. 185-196). Springer International Publishing. DOI: 10.1007/978-3-319-60363-6_18