@article{jamalzadegan_kim_mohammad_koduri_hetzler_lee_dickey_wei_2024, title={Liquid Metal-Based Biosensors: Fundamentals and Applications}, volume={1}, ISSN={["1616-3028"]}, url={https://doi.org/10.1002/adfm.202308173}, DOI={10.1002/adfm.202308173}, abstractNote={Abstract}, journal={ADVANCED FUNCTIONAL MATERIALS}, author={Jamalzadegan, Sina and Kim, Sooyoung and Mohammad, Noor and Koduri, Harshita and Hetzler, Zach and Lee, Giwon and Dickey, Michael D. and Wei, Qingshan}, year={2024}, month={Jan} }
 @article{lee_hossain_jamalzadegan_liu_wang_saville_shymanovich_paul_rotenberg_whitfield_et al._2023, title={Abaxial leaf surface-mounted multimodal wearable sensor for continuous plant physiology monitoring}, volume={9}, ISSN={["2375-2548"]}, DOI={10.1126/sciadv.ade2232}, abstractNote={Wearable plant sensors hold tremendous potential for smart agriculture. We report a lower leaf surface-attached multimodal wearable sensor for continuous monitoring of plant physiology by tracking both biochemical and biophysical signals of the plant and its microenvironment. Sensors for detecting volatile organic compounds (VOCs), temperature, and humidity are integrated into a single platform. The abaxial leaf attachment position is selected on the basis of the stomata density to improve the sensor signal strength. This versatile platform enables various stress monitoring applications, ranging from tracking plant water loss to early detection of plant pathogens. A machine learning model was also developed to analyze multichannel sensor data for quantitative detection of tomato spotted wilt virus as early as 4 days after inoculation. The model also evaluates different sensor combinations for early disease detection and predicts that minimally three sensors are required including the VOC sensors.}, number={15}, journal={SCIENCE ADVANCES}, author={Lee, Giwon and Hossain, Oindrila and Jamalzadegan, Sina and Liu, Yuxuan and Wang, Hongyu and Saville, Amanda C. and Shymanovich, Tatsiana and Paul, Rajesh and Rotenberg, Dorith and Whitfield, Anna E. and et al.}, year={2023}, month={Apr} }
 @article{kiani_fathi rezaei_jamalzadegan_2023, title={Exo-polygalacturonase production enhancement by Piriformospora indica from sugar beet pulp under submerged fermentation using the response surface methodology}, ISSN={["1614-7499"]}, DOI={10.1007/s11356-023-25488-6}, abstractNote={This study proposed a novel and cost-effective approach to enhance and optimize the exo-polygalacturonase from P. indica, a root endophytic fungus. In the current investigation, the impact of ammonium sulfate, sugar beet pulp (SBP), and glucose as variables on induction of exo-polygalacturonase from P. indica was optimized using the central composite design (CCD) of response surface methodology (RSM) under submerged fermentation (SmF). Additionally, determination of the exo-polygalacturonase molecular weight and in situ analysis was performed. The optimal reaction conditions, which resulted in the highest enzyme activity, were observed in the following conditions: ammonium sulfate (4 g/L), SBP (20 g/L), and glucose (60 g/L). Under the optimized condition, the maximum enzyme activity reached 19.4 U/ml (127 U/mg), which increased by 5.84 times compared to non-optimized conditions. The exo-polygalacturonase molecular weight was estimated at 60 KDa. In line with the bioinformatic analysis, the exo-polygalacturonase sequence of P. indica showed similarity with Rhizoctonia solani's and Thanateporus cucumeris. These results indicated that SBP acts as a cheap and suitable inducer of exo-polygalacturonase production by P. indica in submerged cultivation. The outcome of this study will be useful for industries to decrease environmental pollution with cost-effective approaches.}, journal={ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH}, author={Kiani, Somayyeh and Fathi Rezaei, Parisa and Jamalzadegan, Sina}, year={2023}, month={Jan} }
 @article{hetzler_wang_krafft_jamalzadegan_overton_kudenov_ligler_wei_2022, title={Flexible sensor patch for continuous carbon dioxide monitoring}, volume={10}, ISSN={["2296-2646"]}, DOI={10.3389/fchem.2022.983523}, abstractNote={Monitoring and measurement of carbon dioxide (CO2) is critical for many fields. The gold standard CO2 sensor, the Severinghaus electrode, has remained unchanged for decades. In recent years, many other CO2 sensor formats, such as detection based upon pH-sensitive dyes, have been demonstrated, opening the door for relatively simple optical detection schemes. However, a majority of these optochemical sensors require complex sensor preparation steps and are difficult to control and repeatably execute. Here, we report a facile CO2 sensor generation method that suffers from none of the typical fabrication issues. The method described here utilizes polydimethylsiloxane (PDMS) as the flexible sensor matrix and 1-hydroxypyrene-3,6,8-trisulfonate (HPTS), a pH-sensitive dye, as the sensing material. HPTS, a base (NaOH), and glycerol are loaded as dense droplets into a thin PDMS layer which is subsequently cured around the droplet. The fabrication process does not require prior knowledge in chemistry or device fabrication and can be completed as quickly as PDMS cures (∼2 h). We demonstrate the application of this thin-patch sensor for in-line CO2 quantification in cell culture media. To this end, we optimized the sensing composition and quantified CO2 in the range of 0–20 kPa. A standard curve was generated with high fidelity (R2 = 0.998) along with an analytical resolution of 0.5 kPa (3.7 mm Hg). Additionally, the sensor is fully autoclavable for applications requiring sterility and has a long working lifetime. This flexible, simple-to-manufacture sensor has a myriad of potential applications and represents a new, straightforward means for optical carbon dioxide measurement.}, journal={FRONTIERS IN CHEMISTRY}, author={Hetzler, Zach and Wang, Yan and Krafft, Danny and Jamalzadegan, Sina and Overton, Laurie and Kudenov, Michael W. and Ligler, Frances S. and Wei, Qingshan}, year={2022}, month={Sep} }