Journal Papers

2023

 

    • S Neethirajan, Innovative Strategies for Sustainable Dairy Farming in Canada amidst Climate Change , (Link)
    • S Neethirajan , Vocalization Patterns in Laying Hens – An Analysis of Stress-Induced Audio Responses  , (Link)
    • S Neethirajan ,  Vocalization Patterns in Laying Hens – An Analysis of Stress-Induced Audio Responses , (Link)
    • SR Neethirajan , Digital Livestock Farming 2030 and Beyond , (Link)
    • S Neethirajan, Innovative Strategies for Sustainable Dairy Farming in Canada amidst Climate Change , (Link)
    • SR Neethirajan , AI-Driven Climate Neutrality in Dairy Farming: Benchmarking Emissions for Sustainable Transformation , (Link)
    • S Neethirajan, Artificial Intelligence and Sensor Innovations: Enhancing Livestock Welfare with a Human-Centric Approach , (Link)
    • S Neethirajan, Navigating to Net Zero: Leveraging Big Data, AI, and Benchmarking for Sustainable Climate Action and Emissions Reduction , (Link)
    • SR Neethirajan , 阁 EasyChair Preprint , (Link)
    • S Neethirajan , Decoding the Digital Barnyard-Cognitive Computing in Farm Animal Emotions and Welfare , (Link)
    • S Neethirajan , From Faces to Feelings – Leveraging Computer Vision for Farm Animals Emotion Analysis! , (Link)
    • S Neethirajan , From Herds to Insights – Harnessing Data Analytics for Sustainable Livestock Farming , (Link)
    • S Neethirajan, Digital Phenotyping: A Game Changer for the Broiler Industry , (Link)
    • S Neethirajan , Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation , (Link)
    • S Neethirajan ,  AI in Sustainable Pig Farming: IoT Insights into Stress and Gait , (Link)
    • JH Kim, A Poulose, SJ Colaco, S Neethirajan, DS Han, Enhancing animal welfare with interaction recognition: A deep dive into pig interaction using xception architecture and SSPD-PIR method , (Link)
    • JH Kim, SJ Colaco, A Poulose, S Neethirajan, DS Han , Advancing Pig Welfare Assessment: Introducing the SSPD-PER Method for Objective and Reliable Pig Emotion Recognition  (Link)
    • S Neethirajan , Harnessing the Metaverse for Livestock Welfare: Unleashing Sensor Data and Navigating Ethical Frontiers (Link)
    • S Neethirajan, The Ethical Frontier: Navigating the Metaverse in Modern Animal Farming , (Link)

      2022

       

        • S Neethirajan , Big Data Enabled Non-Invasive Rapid Sex Detection of Incubated Chicken Eggs , (Link) 
        • P Llonch, S Neethirajan, C Morgan-Davies ,  Understanding Animals’ Phenotype through Automatic Behavior Assessment , 1-2 (Link) 
        • S Neethirajan , Measuring miRNA in livestock using sensor technologies: Challenges and potential approaches ,  3 (Link) 
        • A Youssef, C Jansen, S Neethirajan , Soft-sensing approach for predicting bovine respiratory disease severity , (Link)
        • H van den Heuvel, A Youssef, LM Grat, S Neethirajan , Quantifying the Effect of an Acute Stressor in Laying Hens using Thermographic Imaging and Vocalisations ,  (Link)
        • MH Azizat, EAM Graat, A Youssef, S Neethirajan , Laying hen’s behavioural responses and activity indexes to different light colours. , (Link)
        • S Neethirajan , Correction: Neethirajan, S. Affective State Recognition in Livestock—Artificial Intelligence Approaches. Animals 2022, 12, 759 , (Link)
        • S Neethirajan , miRNA Sensing in Livestock: Challenges and Potential Approaches , (Link)
        • S Colaco, J Kim, A Poulose, S Zutphen, S Neethirajan, D Han,  Pig Treatment Classification on Thermal Image Data using Deep Learning , (Link)
        • S Neethirajan , Digitalization in Livestock Farming – Artificial Intelligence Applied to Precision Animal Breeding , (Link)
        • S Neethirajan , A Behind the Scenes Look – Metaverse and Digital Pigs OS 2.0 ,  (Link)
        • HM Menendez III, JR Brennan, C Gaillard, K Ehlert, J Quintana, … , ASAS–NANP Symposium: Mathematical Modeling in Animal Nutrition: Opportunities and challenges of confined and extensive precision livestock production , (Link)
        • M Jacobs, A Remus, C Gaillard, HM Menendez III, LO Tedeschi, … ,  ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences , (Link)
        • S Neethirajan , Sensors for Monitoring Health. Making Sense of Sensors Based on Big Data in Poultry Production , (Link)
        • S Neethirajan , Affective state recognition in livestock—artificial intelligence approaches , 759 (Link)
        • S Neethirajan , Using Sensors and AI to Measure Dairy Cattle Emotions , (Link)
        • LRG van den Tweel, CW van der Pol, H van den Brand, SR Neethirajan ,  Non-invasive in-ovo sexing of chicken eggs using Raman spectroscopy and hyperspectral imaging ,  47-47 ,  (Link)
        • N Pijpers, H van den Heuvel, IH Duncan, J Yorzinski, S Neethirajan , Understanding chicks’ emotions: are eye blinks & facial temperatures reliable indicators? ,  (Link)
        • Brain Sciences Editorial Office , Acknowledgment to Reviewers of Brain Sciences in 2021 , 171 (Link)
        • Animals Editorial Office ,  Acknowledgment to Reviewers of Animals in 2021 , 341  (Link)
        • N Suresh , Automated Tracking Systems for the Assessment of Farmed Poultry , (Link)
        • N Suresh,  Affective State Recognition in Livestock—Artificial Intelligence Approaches , (Link)
        • AM Johnson, A Nikiforuk, A Meyer, A Wsół, A Nagayach, A Jezzini, … , Acknowledgment to Reviewers of Brain Sciences in 2021 , [Pdf]
        • FA Abade Dos Santos, G Aiken, JM Abbate, M Akins, A Abd El Wahed, …Acknowledgment to Reviewers of Animals in 2021 , (Pdf)
        • Suresh Neethirajan , Affective State Recognition in Livestock—Artificial Intelligence Approaches [Erratum: July 2022, v. 12 (14)] , (Link)
        • M Jacobs, A Remus, C Gaillard, HM Menendez III, LO Tedeschi, S Neethirajan, JL Ellis , ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL , (Link)
        • Suresh Neethirajan , ChickTrack – A Quantitative Tracking Tool for Measuring Chicken Activity , (Link)
        • Suresh Neethirajan,  Automated Tracking Systems for the Assessment of Farmed Poultry , 1-11 (Link)
        • Thomason, J., Biological and Chemical Sensors for Monitoring Water Quality , 215-238. (Link)

        2021

        • Thomason, J., 2021. Metahealth-how will the metaverse change health care? Journal of Metaverse, 1(1), 13-16. (Link)
        • Menendez, H.M., Brennan, J., 2021. 82 Application of Precision Sensor Technologies, Real-time Data Analytics, and Dynamic Models on Extensive Western Rangeland Grazing Systems. Journal of Animal Science, 99(Supplement_3), 43-44. (Link)
        • Pennings, A., Heuvel, H., Pelaez, A.M., Van der Werff, I., Neethirajan, S., 2021. Sensor-data Enabled Indicators in the Investigation of Livestock Resilience. Techrxiv, 1-20. (Link)
        • Neethirajan, S., 2021. Happy Cow or Thinking Pig? WUR Wolf—Facial Coding Platform for Measuring Emotions in Farm Animals. AI, 2(3), 342-354. (Link)
        • Neethirajan, S., 2021. The Use of Artificial Intelligence in Assessing Affective States in Livestock. Frontiers in Veterinary Science, 8(715261), 1-8. (Link)
        • Neethirajan, S., 2021. Artificial Intelligence in Investigation of Farm Animal’s Affective States. First International Workshop on Research Methods in Animal Emotion Analysis. (Link)
        • Neethirajan, S., 2021. Mapping Resilience Indicators & Measuring Emotions of Farm Animals Using Sensor Data. 2021 ASAS-CSAS-SSASAS Annual Meeting & Trade Show ASAS-NANP Symposium. (Link)
        • Neethirajan, S.R., 2021. 동물질병감지에있어. World Food, Agriculture and Fisheries Magazine, 90-93. (Link)
        • Neethirajan, S., 2021. Making Sense of Sensors based Big Data in Poultry and Swine Business. Pigs, Poultry, the Planet and Data-Driven Problem-Solving Symposium NCSU. (Link)
        • Rutter, S., 2021. 4 Do Farm Animals Have Feelings? (Link)
        • Le Page, M., 2021. AI can read a cow’s face to tell if it is stressed or excited. New Scientist, 250(3332), 14. (Link)
        • AE Office, 2021. Acknowledgment to Reviewers of Animals in 2020. Animals: an Open Access Journal from MDPI, 11(2). (Link)
        • BSE Office, 2021. Acknowledgment to Reviewers of Brain Sciences in 2020. Brain Sciences, 11(2). (Link)
        • Animals Editorial Office, 2021. Acknowledgment to Reviewers of Animals in 2020. Animals, 11(2), 313. (Link)
        • Micromachines Editorial Office, 2021. Acknowledgment to Reviewers of Micromachines in 2020. Micromachines, 12(2), 106. (Link)
        • Neethirajan, S.R., 2021. Use of Biosensors in the Poultry Industry? (Link)
        • Suresh, N., Bas, K., 2021. Social Network Analysis in Farm Animals: Sensor-Based Approaches. Animals, 11(2). (Link)
        • Suresh, N., Bas, K., 2021. Digital phenotyping in livestock farming. Animals, 11(7). (Link)
        • Suresh, N., Bas, K., 2021. Digital Livestock Farming. Sensing and Bio-Sensing Research, 32. (Link)
        • Neethirajan, S., Kemp, B., 2021. Digital twins in livestock farming. Animals, 11(4). (Link)
        • Neethirajan, S., Kemp, B., 2021. Social Network Analysis in Farm Animals: Sensor-Based Approaches. Animals, 11, 434. (Link)
        • Neethirajan, S.R., Kemp, B., 2021. WUR Wolf-A Facial Recognition System for Animal Welfare 2.0. Proceedings of the 54th Congress of the ISAE, 154-154. (Link)
        • Neethirajan, S., 2021. Is Seeing Still Believing? Leveraging Deepfake Technology for Livestock Farming. Frontiers in Veterinary Science, 8, 1-10. (Link)
        • Neethirajan, S., Kemp, B., 2021. DATAMATION: DigitAl Twin AniMAl emoTIONs. 72nd Annual Meeting of the European Federation of Animal Science. (Link)
        • Neethirajan, S., Kemp, B., 2021. Happy cow or thinking pig – facial recognition tool for automated welfare. 72nd Annual Meeting of the European Federation of Animal Science. (Link)
        • Neethirajan, S., Reimert, I., Knegsel, A., Dixhoorn, I., Bolhuis, L., Brand, H., et al., 2021. Sensors for animals in future food systems – Farmworx approach. 72nd Annual Meeting of the European Federation of Animal Science. (Link)

        2020

        • Neethirajan, S., 2020. Transforming the Adaptation Physiology of Farm Animals through Sensors. Animals, 10(9), 1-25. (Link)
        • Fortner, J., Klaper, R., 2020. 2019 Environmental Nanotechnology Gordon Research Conference and Seminar. (Link)
        • Eng, S.N.P., 2020. Emerging Technologies for On-Site Detection of Coronavirus. Resource Magazine, 27(4), 19-21. (Link)
        • Alzahrani, A., 2020. Persister formation and revival in Shiga Toxin-Producing Escherichia coli subjected to environmental stress conditions. University of Guelph. (Link)
        • Neethirajan, S.R., 2020. Emerging technologies for on-site detection of Coronavirus. Resource: Engineering & Technology of a Sustainable World, 27(4), 15-17. (Link)
        • Neethirajan, S., 2020. Digitalization of Animal Farming. Preprints. (Link)
        • Neethirajan, S., 2020. The role of sensors, big data and machine learning in modern animal farming. Sensing and Bio-Sensing Research. (Link)

        2018

        • Fragis, M., A. Murayyan, S. Neethirajan. 2018. Cytotoxic activity and anti-cancer potential of Ontario grown onion extracts against breast cancer cell lines.  Functional Foods in Health & Disease 8(3): 159-174. (Link)
        • Weng, X., S. R. Ahmed, S. Neethirajan. 2018. A nanocomposite-based biosensor for bovine haptoglobin on a 3D paper-based analytical device. Sensors and Actuators B: Chemical  Doi: 10.1016/j.snb.2018.03.061 (Link)
        • Neethirajan, S., V. Ragavan, X. Weng. 2018. Biosensors for Sustainable Food Engineering: Challenges and Prospective. Biosensors. (biosensors-270845) (Link)
        • Neethirajan, S., X. Weng, A. Tah. 2018. Nano-Biosensor Platforms for Detecting Food Allergens – New Trends. Sensing and Bio-Sensing Research. Doi: 10.1016/j.sbsr.2018.02.005 (Link)
        • S.R. Ahmed, S.W. Kang, S. Oh, J. Lee, S. Neethirajan. 2018. Chiral Zirconium quantum dots: A new class of nanocrystals for optical detection of coronavirus. Heliyon. Doi: 10.1016/j.heliyon.2018.e00766  (Link)
        • Weng, X., S. Neethirajan. 2018. Immunosensor based on antibody-functionalized MoS2 for rapid detection of avian coronavirus on cotton thread. IEEE Sensors Journal. Doi: 10.1109/JSEN.2018.2829084  (Link)
        • Chand, R., S. Ramalingam, S. Neethirajan. 2018. A 2D transition-metal dichalcogenide MoS2 based novel nanocomposite and nanocarrier for multiplex miRNA detection. Nanoscale. Doi: 10.1039/C8NR00697K (Link)
        • Ahmed, S.R., S. Neethirajan. 2018. Chiral MoS2 Quantum Dots: Dual-Mode detection approaches for Avian Influenza viruses. Global Challenges. doi:10.1002/gch2.201700071 (Link)
        • Ahmed, S.R., J. Mogus, R. Chand, E. Nagy, S. Neethirajan. 2018. Optoelectronic fowl adenovirus detection based on local electric field enhancement on graphene quantum dots and gold nanobundle hybrid. Biosensors & Bioelectronics doi.org/10.1016/j.bios.2017.12.028  (Link)
        • Ragavan, K.V., Egan, P., S. Neethirajan. 2018. Multi mimetic graphene palladium nanocomposite based colorimetric paper sensor for the detection of neurotransmitters. Sensors and Actuators B: Chemical. Doi: 10.1016/j.snb.2018.07.048 (Link)
        • Vanstone, N., Moore, A., Martos, P., S. Neethirajan. 2018. Detection of the adulteration of extra virgin olive oil by near-infrared spectroscopy and chemometric techniques. Food Quality and Safety. Doi: 10.1093/fqsafe/fyy/018 (Link)
        • Tuteja, S., S. Neethirajan. 2018. Exploration of 2-dimensional bio-functionalized phosphorene nanosheets (Black Phosphorous) for label free haptoglobin electro-immunosensing applications. Nanotechnology doi.org/10.1088/1361-6528/aaab15 (Link)
        • Ragavan, K.V., S.R. Ahmed, X. Weng, S. Neethirajan. 2018. Chitosan as a peroxidase mimic: Paper based sensor for the detection of hydrogen peroxide. Sensors and Actuators B: Chemical. Doi: 10.1016/j.snb.2018.05.142 (Link)
        • Neethirajan, S., K.V. Ragavan, X. Weng. 2018. Agro-defense: Biosensors for food from healthy crops and animals.  Trends in Food Science & Technology  doi: 10.1016/j.tifs.2017.12.005   (Link)
        • Tah, A., J.O. Corderos, X. Weng, S. Neethirajan. 2018. Aptamer-based biosensor for food allergen determination using graphene oxide/gold nanocomposite on a paper-assisted analytical device. bioRxiv. Doi: 10.1101/343368 (Link)
        • Buozis, J., S.R. Ahmed, R. Chand, E. Nagy, S. Neethirajan. 2018. Direct immunosensing of avian influenza A virus in whole blood using nanocomposites. bioRxiv. Doi: 10.1101/343376 (Link)
        • Ragavan, K.V. S. Kumar, S. Swaraj, S. Neethirajan. 2018. Advances in biosensors and optical assays for diagnosis and detection of malaria. Biosensors & Bioelectronics doi.org/10.1016/j.bios.2018.01.037  (link)
        • Chand, R., Y. L. Wang, D. Kelton, S. Neethirajan. 2018. Isothermal DNA amplification with functionalized graphene and nanoparticle assisted electroanalysis for rapid detection of Johne’s disease. Sensors & Actuators B: Chemical  doi.org/10.1016/j.snb.2018.01.140 (Link)
        • Jiang, X., H. Lin, J. Shi, S. Neethirajan, Y. Lin, Y. Chen, H. Wang, Y. Lin. 2018. Effects of a novel chitosan formulation treatment on quality attributes and storage behaviour of harvested litchi fruit. Food Chemistry doi.org/10.1016/j.foodchem.2018.01.095  (Link)
        • Tuteja, S., C. Ormbsy, S. Neethirajan. 2018. Non-invasive Label-free Detection of Cortisol and Lactate using Graphene Embedded Screen-printed Electrode. Nano-Micro Letters doi.org/10.1007/s40820-018-0193-5 (Link)

        2017

        • Weng, X., S. Neethirajan. 2017. Paper-based microfluidic aptasensor for food safety. Journal of Food Safety. doi: 10.1111/jfs.12412 (Link)
        • Berthelot, R., S. Neethirajan. 2017. Nanoscale imaging approaches to quantifying the electrical properties of pathogenic bacteria. Biomedical Physics & Engineering Express doi: 10.1088/2057-1976/aa91f8 (Link)
        • Ahmed, S.R., E. Nagy, S. Neethirajan. 2017. Self-assembled star-shaped chrioplasmonic gold nanoparticles for ultrasensitive chiro-immunosensor of viruses. RSC Advances doi: 10.1039/c7r07175b (Link)
        • Weng, X., S. Neethirajan. 2017. Aptamer-based Fluorometric Determination of Norovirus Using a Paper-based Microfluidic Device. Microchimica Acta DOI 10.1007/s00604-017-2467-x  (Link)
        • Tuteja, S., S. Neethirajan. 2017. A highly efficient 2D exfoliated metal dichalcogenide for on-farm rapid monitoring of non-esterified fatty acid. Chemical Communications doi: 10.1039/C7CC04894G (Link)
        • Tuteja, S., T. Duffield, S. Neethirajan. 2017. Graphene based Multiplexed disposable electrochemical biosensor for on-farm rapid monitoring of NEFA and βHBA Dairy biomarkers. Journal of Materials Chemistry B doi: 10.1039/C7TB01382E  (Link)
        • Panesar, S., X. Weng, S. Neethirajan. 2017. Towards point-of-care diagnostics of breast cancer: development of an optical biosensor using quantum dots. IEEE Sensors Letters doi: 10.1109/LSENS.2017.2727983  (Link)
        • Tuteja, S., T. Duffield, S. Neethirajan. 2017. Liquid Exfoliation of MoS2 nanosheets and their utilization as a label-free electrochemical immunoassay for subclinical ketosis. Nanoscale doi: 10.1039/C7NR04307D  (Link)
        • Neethirajan, S., S. Tuteja, Huang, S.T, D. Kelton. 2017. Recent advancement in biosensors technology for animal and livestock health management. Biosensors and Bioelectronics doi: 10.1016/j.bios.2017.07.015 (Link)(PDF)
        • Berthelot, R., K. Doxsee, S. Neethirajan. 2017. Electroceutical approach for impairing the motility of pathogenic bacterium using microfluidic platform Micromachines 8(7), 207: 1-11 (Link) (PDF)
        • Ahmed, S.R., J. C. Corredor, E. Nagy, S. Neethirajan. 2017. Amplified visual immunosensor integrated with nanozyme for ultrasensitive detection of avian influenza virus Nanotheranostics  doi: 10.7150/ntno.20758 (Link)(PDF)
        • Chand, R., S. Neethirajan. 2017. Microfluidic platform integrated with graphene-gold nano-composite aptasensor for one-step detection of norovirus. Biosensors and Bioelectronics doi: 10.1016/j.bios.2017.06.026 (link) (PDF)
        • Neethirajan, S., S.R. Ahmed, R. Chand, J. Buozis, E. Nagy. 2017. Recent Advances in biosensor development for foodborne virus detection. Nanotheranostics doi:10.7150/ntno.20301 (link) (PDF)
        • Manibalan, K., V. Mani, P. Chang, C. Huang, S. Huang, K. Marchlewicz, S. Neethirajan. 2017. Electrochemical latent redox ratiometric probes for real-time tracking and quantification of endogeneous hydrogen sulfide production in living cells. Biosensors and Bioelectronics 96, 233-238. (link) (PDF)
        • Jang, H., S.R. Ahmed, S. Neethirajan. 2017. GryphSens: A smartphone-based portable diagnostic reader for the rapid detection of progesterone in milk. Sensors 17(5), 1079′ doi: 10.3390/s17051079 (PDF)
        • Weng, X., S. Neethirajan. 2017. Ensuring food safety: Quality monitoring using microfluidics. Trends in Food Science & Technology  65, 10-22.(PDF)
        • Murayyan, A., C. Manohar, G. Hayward, S. Neethirajan. 2017. Antiproliferative activity of Ontario grown onions against colorectal adenocarcinoma cells. Food Research International 96, 12-18. (link)(PDF)
        • Ahmed, S.R., J. Kim, V.T. Tran, T. Suzuki, S. Neethirajan, J. Lee. 2017. In situ self assembly of gold nanoparticles on hydrophilic and hydrophobic substrates for influenza virus-sensing platform. Scientific Reports (link)(PDF)
        • Chand, R., D. Han, S. Neethirajan, Y. Kim. 2017. Detection of protein kinase using an aptamer on a microchip integrated electrolyte-insulator-semiconductor sensor. Sensors and Actuators B: Chemical   doi:10.1016/j.snb.2017.02.140 (link)(PDF)
        • Berthelot, R., S. Neethirajan. (2017). Harnessing electrical energy for anti-biofilm therapies: effects of current on cell morphology and motility. Journal of Experimental Nanoscience, doi.org/10.1080/17458080.2017.1296977 (link)(PDF)
        • Manohar, C., J. Xue, A. Murayyan, S. Neethirajan, J. Shi. Antioxidant activity of polyphenols from Ontario grown onion varieties using pressurized low polarity water technology. Journal of Functional Foods 31, 52-62  (link)(PDF)
        • Huang, S., B. Guild, S. Neethirajan, P. Therrien, L. Lim, K. Warriner. 2017. Antimicrobial coatings for controlling Listeria monocytogenes based on polylactide modified with titanium dioxide and illuminated with UV-A. Food Control 73(B): 421-425 (link)(PDF)

        2016

        • Neethirajan, S. 2016. Recent advances in wearable sensors for animal health management. Sensing and Bio-Sensing Research. doi:10.1016/j.sbsr.2016.11.004  (link)
        • Huang, S., B. Guild, S. Neethirajan, P. Therrien, L. Lim, K. Warriner. 2017. Antimicrobial coatings for controlling Listeria monocytogenes based on polylactide modified with titanium dioxide and illuminated with UV-A. Food Control http://dx.doi.org/10.1016/j.foodcont.2016.08.030 (link)
        • Weng, S., S. Neethirajan. (2016). A microfluidic biosensor using graphene oxide and aptamer-functionalized quantum dots for peanut allergen detection. Biosensors and Bioelectronics. Doi: 10.1016/j.bios.2016.05.072 (link)
        • Veerapandian, M., R. Hunter, S. Neethirajan. (2016). Dual immunosensor based on methylene blue-electroadsorbed graphene oxide for rapid detection of influenza virus antigen. Talanta. doi: 10.1016/j.talanta.2016.04.047 (link)
        • Weng, X., S. Neethirajan, A. Vogt. (2016). Single cell chemotactic responses of Helicobacter pylori to urea in a microfluidic chip. Applied Sciences. 6(5), 139; doi:10.3390/app6050139 (link)
        • Dhayakaran, R., X. Weng, S. Neethirajan. (2016). Investigation of the anitmicrobial activity of soy peptides by developing a high throughput drug screening assay. Biochemistry and Biophysics Reports. Doi:10.1016/j.bbrep.2016.04.001 (link)
        • Weng, X., G. Gaur, S. Neethirajan. (2016). Rapid detection of food allergens by microfluidics ELISA-based optical sensor . Biosensors. DOI: 10.3390/bios6020024 (link)
        • Panesar, S., S. Neethirajan. (2016). Microfluidics: rapid diagnosis for breast cancer. Nano-Micro Letters. DOI:10.1007/s40820-015-0079-8 (link)(PDF)
        • Veerapandian, M., R. Hunter, S. Neethirajan. (2016). Ruthenium dye sensitized graphene oxide electrode for on-farm rapid detection of beta-hydroxybutyrate. Sensors and Actuators B: Chemical. DOI: 10.1016/j.snb.2016.01.028 (link)

        2015

        • Preiss, L., S. Neethirajan. (2015). Single Cells of Pseudomonas aeruginosa Exhibit Electrotaxis and Durotaxis Behaviours. biorxiv (link )
        • Mungroo, N., G. Oliveira, S. Neethirajan. (2015). SERS based point-of-care detection of food-borne pathogens  Microchimica Acta. DOI: 10.1007/s00604-015-1698-y  (link)(PDF)
        • Veerapandian, M., R. Hunter, S. Neethirajan. (2015). Lipoxygenase-modified Ru-bby / graphene oxide: Electrochemical biosensor for on-farm monitoring of non-esterified fatty acid. Biosensors and Bioelectronics. DOI: 10.1016/j.bios.2015.11.058 (link)(PDF)
        • Veerapandian, M., S. Neethirajan. (2015). Graphene oxide chemically decorated with Ag-Ru/chitosan nanoparticles: Fabrication, Electrode Processing and Immunosensing Property. RSC Advances. Doi:10.1039/C5RA15329H  (link)(PDF)
        • Weng, X., J. Niekerk, S. Neethirajan, K. Warriner. (2015). Characterization of antimicrobial efficacy of photocatalytic polymers against food-borne biofilms. LWT Food Science and Technology Journal. DOI: 10.1016/j.lwt.2015.11.063 (link)(PDF)
        • Chen, L., L. Daikuara, S. Neethirajan. (2015). Label-free NIR-SERS discrimination and detection of foodborne bacteria by in-situ synthesis of Ag colloids. Journal of Nanobiotechnology. DOI: 10.1186/s12951-015-0106-4 (link)(PDF)
        • Wright, E., S. Neethirajan, X. Wang. (2015). Microfluidic wound model for studying the behaviours of Pseudomonas aeruginosa in polymicrobial biofilms. Biotechnology and Bioengineering. doi:10.1002/bit.25651 (link)(PDF)
        • Weng, X., L. Chen, S. Neethirajan, T. Duffield. (2015). Development of quantum-dots based biosensor towards on-farm detection of subclinical ketosis. Biosensors and Bioelectronics. 72(15): 140-147 (link)(PDF)
        • Dhayakaran, R., S. Neethirajan, J. Xue, J. Shi. (2015). Characterization of Antimicrobial Efficacy of Soy Isoflavones Against Pathogenic Biofilms.  LWT Food Science and Technology. (Accepted) (link)(PDF)
        • Suresh, A., S. Neethirajan (2015). Real-time 3D visualization and quantitative analysis of internal structure of wheat kernels.  Journal of Cereal Science (In Press) doi:10.1016/j.jcs.2015.03.006 (link)(PDF)
        • Chen, L., S. Neethirajan. (2015). A homogeneous fluorescence quenching based assay for specific and sensitive detection of Influenza virus A Hemagglutinin antigen. Sensors 15(4): 8852-8865. (link)(PDF)
        • Birkenhauer, E., S. Neethirajan. (2015). A Double-Edged Sword: The Role of VEGF in Wound Repair and Chemoattraction of Opportunist Pathogens. International Journal of Molecular Sciences. doi:10.3390/ijms16047159  (link)(PDF)
        • Griffith, A., S. Neethirajan, K. Warriner (2015). Development and evaluation of silver zeolite antifouling coatings on stainless steel for food contact surfaces. Journal of Food Safety. doi: 10.1111/jfs.12181 (link)(PDF)
        • Weng, X., W. Zhao, S. Neethirajan. (2015). Microfluidic biosensor for β-Hydroxybutyrate (βHBA) determination of subclinical ketosis diagnosis. Journal of Nanobiotechnology DOI 10.1186/s12951-015-0076-6  (PDF)

        2014

        • Mungroo, N.A., S. Neethirajan. (2014). Biosensors for the detection of antibiotics in poultry industry. Biosensors doi: 10.3390/bios4040472  (link)(PDF)
        • Birkenhauer, E., S. Neethirajan. (2014). Characterization of electrical surface properties of mono- and co-cultures of Pseudomonas aeruginosa and methicillin-resistant Staphylococcus aureus using Kelvin probe force microscopy. RSC Advances DOI: 10.1039/C4RA07446G (link)(PDF)
        • Warriner, K., S.M. Reddy, A. Namvar, S. Neethirajan. (2014). Developments in Nanoparticles for Use in Biosensors to Assess Food Safety and Quality. Trends in Food Science and Technology. DOI: 10.1016/j.tifs.2014.07.008 (link)(PDF)
        • Birkenhauer, E., S. Neethirajan. (2014). Surface Potential Measurement of Bacteria Using Kelvin Probe Force Microscopy. Journal of Visualized Experiments.  doi:10.3791/52327 (link)(PDF)
        • Neethirajan, S., M.A. Clond, A. Vogt (2014). Medical Biofilms – Nanotechnology Approaches. Journal of Biomedical Nanotechnology. 10:  doi:10.1166/jbn.2014.1892 (link)(PDF)
        • DiCicco, M., S. Neethirajan. (2014). An in-vitro microfluidic gradient generator platform for antimicrobial testing. Biochip Journal doi:10.1007/s13206-014-8406-6 (link)(PDF)
        • DiCicco, M., S. Neethirajan, S. Weese, A. Singh. (2014). In vitro synergism of fosfomycin and clarithromycin antimicrobials against methicillin-resistant Staphylococcus pseudintermediusBMC Microbiology 14:129 doi:10.1186/1471-2180-14-129 (link)(PDF)
        • Birkenhauer, E., S. Neethirajan, S. Weese. (2014). Collagen and hyaluronan at wound sites influence early polymicrobial biofilm adhesive events. BMC Microbiology. doi:10.1186/1471-2180-14-191 (link)(PDF)
        • DiCicco, M., S. Weese, S. Neethirajan, J. Rousseau, A. Singh. (2014). Fosfomycin susceptibility of methicillin-resistant Staphylococcus pseudintermedius. Research in Veterinary Science. doi: 10.1016/j.rvsc.2014.02.004. (link)(PDF)
        • Wright, E., S. Neethirajan, K. Warriner, S. Retterer. B. Srijanto. (2014). Single cell swimming dynamics of Listeria Monocytogenes using a nanoporous microfluidic platform. Lab on a Chip DOI: 10.1039/c3lc51138c (link)(PDF)
        • Terry, J., S. Neethirajan. (2014). A novel microfluidic wound model for testing antimicrobial agents against Staphylococcus pseudintermedius biofilms. Journal of Nanobiotechnology 12:1  doi:10.1186/1477-3155-12-1 (link)(PDF)

        2013

        • Yangquanwei, Z., S. Neethirajan, C. Karunakaran. (2013). Cytogenetic analysis of quinoa chromosomes using nanoscale imaging and spectroscopy techniques. Nanoscale Research Letters. Nov 6;8(1):463. doi: 10.1186/1556-276X-8-463. (link)(PDF)
        • Neethirajan, S., M. DiCicco. (2013). Atomic Force Microscopy Study of the Antibacterial Effect of Fosfomycin on Methicillin-Resistant Staphylococcus Pseudintermedius. Applied Nanoscience. DOI 10.1007/s13204-013-0256-3 (link)
        • Fletcher, M., M. Biglarbegian, S. Neethirajan. (2013). Intelligent System Design for Bionanorobots in Drug Delivery. Cancer Nanotechnology. DOI 10.1007/s12645-013-0044-5 (link)(PDF)

        2012

        • Kumar, A., D. Karig, R. Acharya, S. Neethirajan, P.P. Mukherjee, S. Retterer, M.J. Doktycz. (2012). Microscale confinement features can affect biofilm formation. Microfluidics and Nanofluidics. DOI 10.1007/s10404-012-1120-6. (link)(PDF)
        • DiCicco, M., S. Neethirajan, A. Singh, S. Weese. (2012). Efficacy of clarithromycin on biofilm formation of methicillin-resistant staphylococcus pseudintermedius. BMC Veterinary Research (link)(PDF)
        • Neethirajan, S., T. Ono, E. Masayoshi. (2012). Characterization of catalytic chemical vapor deposited SiCN thin film coatings. International Nano Letters (link)(PDF)
        • Neethirajan, S., K. Tsukamoto, S. Sugiyama. (2012). Ultrastructural analysis of buckwheat starch components using atomic force microscopy. Journal  of Food Science 77, N2-N7. (link)(PDF)

        2006 – 2011

        • Neethirajan, S., T. Hirose, K. Tsukamoto, J. Wakayama, H. Kanehara, S. Sugiyama. (2011). Karyotype analysis of buckwheat using atomic force microscopy. Microscopy and Microanalysis 17, 572-577. (link)(PDF)
        • Neethirajan, S., I. Kobayashi, M. Nakajima, D. Wu, S. Nandagopal, F. Lin. (2011). Microfluidics for food, agriculture and biosystems industries. Lab on a Chip 11, 1574-1586. (link)(PDF)
        • Ramalingam, G., S. Neethirajan, D.S. Jayas, N.D.G. White. (2010) Characterization of the influence of moisture content on the morphological features of single wheat kernels using machine vision. Applied Engineering in Agriculture 27, 403-409. (link)(PDF)
        • Neethirajan, S., M.S. Freund, C.Shafai, D.S. Jayas, D.J. Thomson, N.D.G. White. (2010) Development of carbon dioxide sensor for grain quality monitoring. Biosystems Engineering doi:10.1016/j.biosystemseng.2010.05.002. (link)(PDF)
        • Neethirajan, S., D.S. Jayas. (2010) Nanotechnology for food, and bioprocessing industries. Food and Bioprocess Technology [invited paper] DOI 10.1007/s11947-010-0328-2. (link)(PDF)
        • Neethirajan, S., R. Gordon, L. Wang. (2009) Potential of silica bodies (Phytoliths) for nanotechnology [invited paper] Trends in Biotechnology 27(8): 461-467. (link)(PDF)
        • Neethirajan, S., D.S. Jayas, S. Sadistap. (2008) Carbon dioxide (CO2) sensors for the agricultural and food industry – A Review. Food and Bioprocess Technology 2(2): 115-121.(link)(PDF)
        • Neethirajan, S., D.J. Thomson, D.S. Jayas, N.D.G. White. (2008) Characterization of the surface morphology of durum wheat starch granules using atomic force microscopy, Microscopy Research and Technique, 71(2): 125-132.(link)(PDF)
        • Neethirajan, S., D.S. Jayas, N.D.G. White, H. Zhang. (2008) Investigation of 3D geometry of bulk wheat and pea pores using X-ray computed tomography images, Computers and Electronics in Agriculture, 63(2): 104-111.(link)(PDF)
        • Neethirajan, S., D.S. Jayas. (2008) Analysis of pore network in three-dimensional (3D) in grain bulk using X-ray CT images, Transport in Porous Media, 73(3): 319-332.(link)(PDF)
        • A.R. Tahir, S. Neethirajan, D.S. Jayas, M. Shahin, S.J. Symons, N.D.G. White. (2007) Evaluation of the effect of moisture content on cereal grains by digital image analysis, Food Research International, 40(9): 1140-1145.(link)(PDF)
        • Neethirajan, S., D.S. Jayas, C. Karunakaran. (2007) Dual energy X-ray image analysis for classifying vitreousness in durum wheat, Post Harvest Biology and Technology, 45(3): 381-384.(link)(PDF)
        • Neethirajan, S., D.S. Jayas N.D.G. White. (2007). Detection of sprouted wheat kernels using soft X-ray image analysis, Journal of Food Engineering, 81(3): 509-513.(link)(PDF)
        • Neethirajan, S., C. Karunakaran, D.S. Jayas, N.D.G. White. (2007). Detection techniques for stored product pests in grain, Food Control, 18(2): 157-162.
        • Neethirajan, S., C. Karunakaran, S. Symons, D.S. Jayas. (2006) Classification of vitreousness in durum wheat using X-rays and transmitted light images, Computers and Electronics in Agriculture, 53(1): 71-78.(link)(PDF)
        • Neethirajan, S., C. Karunakaran, D.S. Jayas, N.D.G. White. (2006) X-ray computed tomography image analysis to explain the airflow resistance differences in grain bulks, Biosystems Engineering, 94(4): 545-555.(link)(PDF)