@article{beura_singh_dahuja_kamble_shukla_thandapilly_krishnan_2025, title={Biomimic models for in vitro glycemic index: Scope of sensor integration and artificial intelligence}, volume={25}, ISSN={["2590-1575"]}, DOI={10.1016/j.fochx.2024.102132}, abstractNote={The accurate quantification of glycemic index (GI) remains crucial for diabetes management, yet current methodologies are constrained by resource intensiveness and methodological limitations. In vitro digestion models face challenges in replicating the dynamic conditions of the human gastrointestinal tract, such as enzyme variability and multi-time point analysis, leading to suboptimal predictive accuracy. This review proposes an integrated technological framework combining non-enzymatic electrochemical sensing with artificial intelligence to revolutionize GI assessment. Non-enzymatic sensors offer superior stability and repeatability in complex matrices, enabling real-time glucose quantification across multiple timepoints without enzyme degradation constraints. Machine learning algorithms, both supervised and unsupervised, enhance predictive accuracy by elucidating complex relationships within digestion data. This technological convergence represents a paradigm shift in food science analytics, promising improved throughput and precision in GI assessment. Future developments should focus on system scalability and broader applications across nutritional science, advancing diabetic management and personalized nutrition strategies.}, journal={FOOD CHEMISTRY-X}, author={Beura, Muskan and Singh, Archana and Dahuja, Anil and Kamble, Vinayak B. and Shukla, Rajendra P. and Thandapilly, Sijo Joseph and Krishnan, Veda}, year={2025}, month={Jan} }
 @article{datta_manasur_sreelekha_verma_adak_shukla_dutta_2025, title={Quantification of L-lactic acid in human plasma samples using Ni-based electrodes and machine learning approach}, volume={286}, ISSN={["1873-3573"]}, DOI={10.1016/j.talanta.2024.127493}, journal={TALANTA}, author={Datta, Brateen and Manasur, Basavaprabhu and Sreelekha, Gajje and Verma, Poornima and Adak, Chandranath and Shukla, Rajendra P. and Dutta, Gorachand}, year={2025}, month={May} }
 @article{geethukrishnan_bagde_sammishra_adak_shukla_tadi_2025, title={Smart sensing of creatinine in urine samples: Leveraging Cu-nanowires/ MoS2 quantum dots and machine learning}, volume={47}, ISSN={["2214-1804"]}, DOI={10.1016/j.sbsr.2024.100727}, journal={SENSING AND BIO-SENSING RESEARCH}, author={Geethukrishnan and Bagde, Paresh Prakash and Sammishra, Kh and Adak, Chandranath and Shukla, Rajendra P. and Tadi, Kiran Kumar}, year={2025}, month={Feb} }
 @article{sarath_shukla_yadav_saramekala_2024, title={Analyzing Interface Trap Influence on Sensitivity, Noise, and Response Time in 2-D Material Field-Effect Transistor pH Sensors: A Theoretical Framework}, volume={24}, ISSN={["1558-1748"]}, DOI={10.1109/JSEN.2024.3472729}, number={22}, journal={IEEE SENSORS JOURNAL}, author={Sarath, S. and Shukla, Rajendra P. and Yadav, Chandan and Saramekala, Gopi Krishna}, year={2024}, month={Nov}, pages={37053–37060} }
 @article{peterson_shukla_daniele_2024, title={Percutaneous Wearable Biosensors: A Brief History and Systems Perspective}, volume={10}, ISSN={["2751-1219"]}, url={https://doi.org/10.1002/adsr.202400068}, DOI={10.1002/adsr.202400068}, abstractNote={Abstract Wearable biosensors are envisioned to disrupt both delivery and accessibility of healthcare by providing real‐time, continuous monitoring of informative and predictive physiological markers in convenient, user‐friendly, and portable designs. In recent years, there has been myriad demonstrations of biosensor‐integrated clothing and skin‐borne biosensor patches, enabled by device miniaturization, reduced power consumption, and new biosensing chemistries. Despite these impressive demonstrations, most consumer‐grade wearables have been limited to biophotonic and biopotential sensing methods to extrapolate information such as pulse, blood oxygenation, and electrocardiograms. The only commercial example of wearable electrochemical sensing methods is for glucose monitoring. However, there is a growing interest in developing percutaneous biosensors for monitoring in interstitial fluid (ISF), which offers direct access to popular analytes such as glucose, lactate, and urea, as well as new targets like hormones, antibodies, and even medications. Herein, a brief context for the current status of wearable biosensors is provided and assess the major engineering successes and pitfalls of percutaneous biosensors over the past five years, with a view to identifying areas for further developments that will enable deployable, clinical‐ or consumer‐grade systems.}, journal={ADVANCED SENSOR RESEARCH}, author={Peterson, Kaila L. and Shukla, Rajendra P. and Daniele, Michael A.}, year={2024}, month={Oct} }