H Bi, S Neethirajan, Satellite Data and Machine Learning for Benchmarking Methane Concentrations in the Canadian Dairy Industry, (Link)
H Bhaskaran, M Gordon, S Neethirajan, Development of a cloud-based IoT system for livestock health monitoring using AWS and Python, (Link)
S Neethirajan, S Scott, C Mancini, X Boivin, E Strand, Human-computer interactions with farm animals—enhancing welfare through precision livestock farming and artificial intelligence, (Link)
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)
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 pseudintermedius. BMC 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)
