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Xiaojia Jin
Researcher at Massachusetts Institute of Technology
Publications - 16
Citations - 264
Xiaojia Jin is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Nanosensor & Biology. The author has an hindex of 5, co-authored 10 publications receiving 93 citations. Previous affiliations of Xiaojia Jin include Nanyang Technological University.
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Journal ArticleDOI
Palladium‐Catalyzed Heteroarylation and Concomitant ortho‐Alkylation of Aryl Iodides
TL;DR: Three-component couplings were achieved from common aryl halide, alkyl halides, and heteroarenes under palladium and norbornene co-catalysis with the assistance of palladium catalysts.
Journal ArticleDOI
Nanophotonic biosensors harnessing van der Waals materials.
Sang Hyun Oh,Hatice Altug,Xiaojia Jin,Tony Low,Steven J. Koester,Aleksandar P. Ivanov,Joshua B. Edel,Phaedon Avouris,Michael S. Strano +8 more
TL;DR: In this paper, low-dimensional van der Waals (vdW) materials can harness tightly confined polaritonic waves to deliver unique advantages for nanophotonic biosensing.
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Implantable Nanosensors for Human Steroid Hormone Sensing In Vivo Using a Self-Templating Corona Phase Molecular Recognition
Michael A. Lee,Song Wang,Xiaojia Jin,Naveed A. Bakh,Freddy T. Nguyen,Juyao Dong,Kevin S. Silmore,Xun Gong,Crystal Pham,Kelvin K. Jones,Sureshkumar Muthupalani,Gili Bisker,Gili Bisker,Manki Son,Michael S. Strano +14 more
TL;DR: A new, self‐templating synthetic approach is applied using corona phase molecular recognition (CoPhMoRe) targeting the steroid family of molecules to produce near infrared fluorescent, implantable sensors to enable a new class of continuous, in vivo biosensors.
Journal ArticleDOI
A Fiber Optic Interface Coupled to Nanosensors: Applications to Protein Aggregation and Organic Molecule Quantification.
Daichi Kozawa,Soo-Yeon Cho,Xun Gong,Freddy T. Nguyen,Xiaojia Jin,Michael A. Lee,Heejin Lee,Alicia Zeng,Gang Xue,Jeff Schacherl,Scott R. Gibson,Leonela Vega,Michael S. Strano +12 more
TL;DR: The fully-integrated lab-on-fiber system is demonstrated to be capable of rapid monitoring of various bioanalytes including serotonin, norepinephrine, adrenaline, and hydrogen peroxide, in addition to proteins and their aggregation states, and constitutes an effective form factor for nanosensor based transducers for applications in industrial process monitoring.