@article{kadian_kumari_sahoo_shukla_narayan_2024, title={Machine learning enabled microneedle-based colorimetric pH sensing patch for wound health monitoring and meat spoilage detection}, volume={200}, ISSN={["1095-9149"]}, url={https://doi.org/10.1016/j.microc.2024.110350}, DOI={10.1016/j.microc.2024.110350}, abstractNote={Since pH can alter the biological functions, level of nutrients, wound healing process, and the behavior of chemicals, various healthcare and food industries are showing increased interest in manufacturing low-cost optical pH sensors for meat spoilage detection and wound health monitoring. To meet this demand, we have developed a simple and low-cost machine learning-enabled microneedle-based colorimetric pH sensing patch that can be used for food quality and wound health monitoring applications. The 3D–printed ultrasharp open side channel microneedle array facilitated the autonomous fluid extraction and transportation via surface tension for colorimetric pH sensing. Further, to predict the exact pH value against the obtained color on the pH-test strip, a machine learning model was prepared using experimentally collected different color images obtained from a known pH solution. Furthermore, to make the device user-friendly for older individuals and color-blind individuals, a simple and smartphone-enabled web application was prepared using the developed machine learning model. The proof-of-concept study of the developed patch was demonstrated by determining the pH of real meat samples before and after spoilage and detecting pH in two different skin-mimicking in vitro models (phantom gel and parafilm tape) using a smartphone. The analytical results demonstrated that the developed machine learning-enabled microneedle-based colorimetric pH sensing patch has excellent potential for wound health and food safety applications.}, journal={MICROCHEMICAL JOURNAL}, author={Kadian, Sachin and Kumari, Pratima and Sahoo, Siba Sundar and Shukla, Shubhangi and Narayan, Roger J.}, year={2024}, month={May} }
 @article{kadian_sahoo_kumari_narayan_2024, title={Machine learning enabled onsite electrochemical detection of lidocaine using a microneedle array integrated screen printed electrode}, volume={475}, ISSN={["1873-3859"]}, url={https://doi.org/10.1016/j.electacta.2023.143664}, DOI={10.1016/j.electacta.2023.143664}, abstractNote={Despite several advantageous uses of lidocaine patches to overcome discomfort and pain in various clinical settings, overdosage of this drug can cause unwanted side effects on the cardiovascular and central nervous system, which can lead to life-threatening conditions. Therefore, the development of a rapid, sensitive, and user-friendly point-of-care device for onsite lidocaine detection is of great clinical importance. To address this issue, we have developed a machine learning enabled wireless microneedle array integrated screen-printed electrode-based electrochemical point-of-care device for rapid and effective detection of lidocaine. The fabricated device utilizes novel ultra-sharp microneedles arrays having a reservoir in its base, which are designed to collect the interstitial fluid through open side channels, and graphene-modified screen-printed carbon electrodes for the electrochemical detection of lidocaine. Under optimal conditions, the developed sensor exhibited high sensitivity and good selectivity towards lidocaine along with a linear current response over the detection range from 1-120 µM with the lowest detection limit of 0.13 µM. In addition, to make the device user friendly, a machine learning model was developed using experimental sensing data to predict the lidocaine concentration and further deployed to prepare a web application for digital visualization of lidocaine concentration.}, journal={ELECTROCHIMICA ACTA}, author={Kadian, Sachin and Sahoo, Siba Sundar and Kumari, Pratima and Narayan, Roger J.}, year={2024}, month={Jan} }
 @article{sahu_kumar_sahoo_balila_srinivasan_2024, title={Microstructural Evolution and Room Temperature Mechanical Properties in Additively Manufactured Mar M 509 With Short Cycle Heat Treatment}, volume={146}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85175355436&partnerID=MN8TOARS}, DOI={10.1115/1.4063257}, abstractNote={Abstract}, number={1}, journal={Journal of Engineering Materials and Technology}, publisher={ASME International}, author={Sahu, Shreehard and Kumar, Bikash and Sahoo, Siba Sundar and Balila, Nagamani Jaya and Srinivasan, Dheepa}, year={2024}, pages={1–24} }
 @article{shukla_khanna_sahoo_joshi_narayan_2024, title={Nanomaterial-Coated Carbon-Fiber-Based Multicontact Array Sensors for In Vitro Monitoring of Serotonin Levels}, volume={7}, ISSN={["2576-6422"]}, url={http://dx.doi.org/10.1021/acsabm.3c01089}, DOI={10.1021/acsabm.3c01089}, abstractNote={In this study, we demonstrated the fabrication of multicontact hierarchical probes for the in vitro detection of serotonin levels. The basic three-dimensional (3D) bendable prototypes with 3 (C1), 6 (C2), or 9 (C3) contact surfaces were printed from polymeric resin via the digital light processing (DLP) technique. We chose ultrasonicated carbon fiber strands to transform these designs into multicontact carbon fiber electrodes (MCCFEs). The exposed carbon fiber (CF) surfaces were modified with aminopropyl alkoxysilane (APTMS), followed by the subsequent loading of palladium nanoclusters (PdNPs) to build active recording sites. CF functionalization with PdNPs was achieved by the wet chemical reduction of Pd(II) to Pd(0). The MCCFE configurations demonstrated an enhancement in the electroactive surface area and an improved voltammetric response toward 5-HT oxidation by increasing the points of the contacts (i.e., from C1 to C3). These MCCFEs are comparable to 3D-protruding electrodes as they can enable multipoint analyte detection. Along with the electrode patterns, morphological irregularities associated with both Pd-doped and undoped CFs supported the creation of proximal diffusion layers for facile mass transfer. Low detection limits of 0.8-10 nM over a wide concentration range, from 0.005 nM to 1 mM, were demonstrated. The MCCFE sensors had a relatively low standard deviation value of ∼2%. This type of sensitive and cost-effective electrochemical sensor may prove useful for collecting electrical impulses and long-term monitoring of 5-HT in vivo in addition to in vitro testing.}, number={1}, journal={ACS APPLIED BIO MATERIALS}, author={Shukla, Shubhangi and Khanna, Sumeer and Sahoo, Siba and Joshi, Naveen and Narayan, Roger}, year={2024}, month={Jan}, pages={472–484} }
 @article{kadian_sahoo_kumari_narayan_2023, title={Machine Learning Enabled Onsite Electrochemical Detection of Lidocaine Using a Microneedle Array Integrated Screen Printed Electrode}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85165410413&partnerID=MN8TOARS}, DOI={10.2139/ssrn.4496318}, abstractNote={Despite several advantageous uses of lidocaine patches to overcome discomfort and pain in various clinical settings, overdosage of this drug can cause unwanted side effects on the cardiovascular and central nervous system, which can lead to life-threatening conditions. Therefore, the development of a rapid, sensitive, and user-friendly point-of-care device for onsite lidocaine detection is of great clinical importance. To address this issue, we have developed a machine learning enabled wireless microneedle array integrated screen-printed electrode-based electrochemical point-of-care device for rapid and effective detection of lidocaine. The fabricated device utilizes novel ultra-sharp microneedles arrays having a reservoir in their base, which are designed to collect the interstitial fluid through open side channels, and graphene-modified screen-printed carbon electrodes for the electrochemical detection of lidocaine. Under optimal conditions, the developed sensor exhibited high sensitivity (0.83 μA μM-1) and selectivity towards lidocaine along with a linear current response over the detection range from 1-120 μM with the lowest detection limit of 0.13 μM. In addition, to make the device user friendly, a machine learning model was developed using experimental sensing data to predict the lidocaine concentration and further deployed to prepare a web application for digital visualization of lidocaine concentration. The obtained results demonstrated that such a microneedle array integrated sensing platform can potentially be used for onsite detection of lidocaine in interstitial fluid.}, journal={SSRN}, author={Kadian, S. and Sahoo, S.S. and Kumari, P. and Narayan, R.J.}, year={2023} }
 @article{narayan_sahoo_joshi_narayan_2023, title={Synthesis and novel properties of Q-silicon (January 2023)}, volume={11}, ISSN={["2166-3831"]}, url={http://dx.doi.org/10.1080/21663831.2023.2224396}, DOI={10.1080/21663831.2023.2224396}, abstractNote={We report the discovery of Q-silicon with an atomic density of 60% higher than crystalline silicon while keeping the bonding characteristics the same as normal silicon. Distinct amorphous phases are created, when one, two, or three tetrahedra are randomly packed, and a crystalline phase of Q-silicon is formed when subunit cells are arranged along <110> directions with alternate holes. Nanosecond laser melting of amorphous silicon in an undercooled state and quenching have created Q-silicon with robust ferromagnetism compared to the diamagnetism of silicon. The blocking temperature of Q-silicon is estimated to be over 400 K, thus opening a new frontier for spin-based computing and atomic-level storage. GRAPHICAL ABSTRACT IMPACT STATEMENT The discovery of Q-silicon having robust RT ferromagnetism will open a new frontier in atomic-scale spin-based devices and functional integration with nanoelectronics. Other properties of interest include enhanced hardness and superconductivity.}, number={8}, journal={MATERIALS RESEARCH LETTERS}, publisher={Informa UK Limited}, author={Narayan, Jagdish and Sahoo, Siba Sundar and Joshi, Naveen and Narayan, Roger}, year={2023}, month={Aug}, pages={688–696} }
 @article{sahu_kumar_sahoo_jaya_srinivasan_2022, title={Thermal Stability of Additively Manufactured Mar M 509}, url={http://dx.doi.org/10.1115/iam2022-91410}, DOI={10.1115/iam2022-91410}, abstractNote={Abstract}, journal={2022 International Additive Manufacturing Conference}, publisher={American Society of Mechanical Engineers}, author={Sahu, Shreehard and Kumar, Bikash and Sahoo, Siba Sundar and Jaya, Balila Nagamani and Srinivasan, Dheepa}, year={2022}, month={Oct} }
 @article{sengupta_sahoo_bhattacharjee_basu_manna_2021, title={Effect of TiC addition on structure and properties of spark plasma sintered ZrB2–SiC–TiC ultrahigh temperature ceramic composite}, volume={850}, url={http://dx.doi.org/10.1016/j.jallcom.2020.156668}, DOI={10.1016/j.jallcom.2020.156668}, abstractNote={In this study, the role of 5 and 10 vol% TiC addition on densification, microstructure, phase evolution and mechanical properties of ZrB2–20 vol% SiC composite has been investigated maintaining the volume fraction of SiC constant. It is found that TiC addition reduces the spark plasma sintering (SPS) temperature from 1900°C to 1700°C producing in a nearly fully dense (∼99.6% theoretical density) material and forming (Zr,Ti)B2, a mixed compound of Zr and Ti. The lattice parameters (c and a) of (Zr,Ti)B2 are found to lie between that of pure ZrB2 and TiB2 with its c/a ratio varying inversely with the extent of TiC addition. Phase and microstructure analyses reveal that, while the entire amount of TiC dissolves in ZrB2 in the ZrB2–20SiC–5TiC (vol%), undissolved TiC exist in the ZrB2–20SiC–10TiC (vol%) composite after sintering indicating that the solubility limit of TiC in sintered ZrB2 lies in between 5 and 10 vol%. The elastic modulus values of the TiC added composites predicted by model based calculation agree well with the values experimentally determined by nano-indentation suggesting that these sintered composites are highly dense and nearly defect-free. The calculated residual stress of the matrix phase (using appropriate analytical models) was found to be tensile in nature but decreasing with increase in TiC addition. The residual stress of the reinforcement phase manifests similar trend but is compressive in nature. Compared to the conventional ZrB2–20SiC (vol%) composite, TiC added composites record better bulk and nano-mechanical properties (e.g., hardness, indentation fracture toughness, flexural strength, stiffness and elastic modulus) at ambient temperature indicating that the ZrB2–SiC–TiC system is a more promising ultrahigh temperature ceramics than the base composite.}, journal={Journal of Alloys and Compounds}, publisher={Elsevier BV}, author={Sengupta, Pradyut and Sahoo, Siba Sundar and Bhattacharjee, Arjak and Basu, Suddhasatwa and Manna, Indranil}, year={2021}, month={Jan}, pages={156668} }