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> DR. SYAZANA ABDULLAH LIM

Room 2A.42

+6732461020 Ext 1318

syazana.lim@utb.edu.bn

DR. SYAZANA ABDULLAH LIM

Assistant Professor School of Applied Sciences and Mathematics

Current Teaching Module

Current Teaching Module

  • Food Preservation
  • Food and Nutrition
  • Food Safety
  • Sensory Science
  • Functional Foods

Specialized Area

  • Food Biosensor
  • Smart Food Packaging
  • Post-Harvest Technology
  • Food Product Development


Research Interest

  • Food Biosensor
  • Food Preservation
  • Functional Foods
  • Food Waste Management

Research Cluster

  • Center of Research for Agri-Food Science and Technology


Qualifications

  • BSc Human Nutrition
  • MSc In Food Technology (Quality Assurance)
  • PhD in Biology

 


Publication

U.S. Patent:

  1. Syazana Abdullah Lim and Minhaz Uddin Ahmed, Novel Method and System for High Sensitive Protein Detection, US Patent No.: US 2016/0341722A1 Approved on 31st March 2020


International Journals:

  1. Afiqah Nabihah Ahmad, Syazana Abdullah Lim, Namasivayam Navaranjan, Yu-I Hsu and Hiroshi Uyama, Green fabrication and application of Sago (Metroxylon sagu) nanoparticles as a reinforcing agent, Polymer, 202, 122646 (2020)
  2. Afiqah Nabihah Ahmad, Syazana Abdullah Lim, Navaranjan Navaranjan (2020). Development of sago (Metroxylon sagu)-based colorimetric indicator incorporated with butterfly pea (Clitoria ternatea) anthocyanin for intelligent food packaging, Journal of Food Safety. Journal of Food Safety, e12807 (2020)
  3. Nura Fazira Noor Azam, Nur Afina Mohammad, Syazana Abdullah Lim, and Minhaz Uddin Ahmed, A Label-Free Cardiac Troponin T Electrochemiluminescence Immunosensor Enhanced by Graphene Nanoplatelets, Analytical Sciences: 19P105 (2019)
  4. Mohammad Rizwan, Muhammad Hazmi, Syazana Abdullah Lim, and Minhaz Uddin Ahmed, A highly sensitive electrochemical detection of human chorionic gonadotropin on a carbon nano-onions/gold nanoparticles/polyethylene glycol nanocomposite modified glassy carbon electrode, Journal of Electroanalytical Chemistry, 833, 462-470, (2019)
  5. Syazana Abdullah Lim, David Koh, Minhaz Uddin Ahmed, Single wall carbon nanotube and magnetic bead-based electrochemical immunosensor for sensitive detection of salivary secretory immunoglobulin A, Current Analytical Chemistry, Current Analytical Chemistry, 14 (4), 399-405 (2018)
  6. M Rizwan, S Elma, S Abdullah Lim, MU Ahmed, AuNPs/CNOs/SWCNTs/Chitosan-Nanocomposite modified electrochemical sensor for the label-free detection of carcinoembryonic antigen, Biosensors and Bioelectronics 107, 211-217 (2018)
  7. Nura Fazira Noor Azam, Sharmili Roy, Syazana Abdullah Lim, Minhaz Uddin Ahmed, Meat species identification using DNA-luminol interaction and their slow diffusion onto the biochip surface, Food Chemistry, 248, 29–36 (2018)


Book Chapters:

  1. Syazana Abdullah Lim, Tiong Hoo Lim and Afiqah Nabihah Ahmad. The Applications of Biosensing and Artificial Intelligence Technologies for Rapid Detection and Diagnosis of COVID 19 in Remote Setting. Diagnostic Strategies for COVID-19 and other Coronaviruses, Publisher Springer, 109 – 134 (2020), ISBN 978-981-15-6005-7
  2. Nura Fazira Noor Azam, Syazana Abdullah Lim, ND Matassan and Minhaz Uddin Ahmed Consumer Goods and the Role of Science in the Halal Industry in Southeast Asia. Muslim Piety as Economy: Markets, Meaning and Morality in Southeast Asia.
  3. Nura Fazira Noor Azam, Syazana Abdullah Lim, Minhaz Uddin Ahmed. Book chapter Nanobiomaterial Engineering, Chapter: Carbon Nanomaterials for Electrochemiluminescence-Based Immunosensors: Recent Advances and Application, (2019), Springer Nature; ISBN 978-981-32-9839-2. Nanobiomaterial Engineering, 71-90
  4. Syazana Abdullah Lim and Minhaz Uddin Ahmed. Book Chapter: Immunosensors, Chapter Introduction to Immunosensors pp. 1-20 (2019) Royal Society of Chemistry (RSC) UK; 978-1-78801-437-3
  5. Syazana Abdullah Lim, Minhaz Uddin Ahmed, Book title: Food Biosensors; Editors: Minhaz Uddin Ahmed, Mohammed Zourob and Eiichi Tamiya, Royal Society of Chemistry (RSC) UK; Chapter: Introduction to food biosensors (2016), ISBN 978-1-78262-361-8

 

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