Kun Qian Lab

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[119] Xu, Z.; Huang, Y.; Hu, C.; Du, L.; Du, Y. A.; Zhang, Y.; Qin, J.; Liu, W.; Wang, R.; Yang, S.; Wu, J.; Cao, J.; Zhang, J.; Chen, G. P.; Lv, H.; Zhao, P.; He, W.; Wang, X.; Xu, M.; Wang, P.; Hong, C.; Yang, L.; Xu, J.; Chen, J.; Wei, Q.; Zhang, R.; Yuan, L.; Qian, K.; Cheng, X. Efficient Plasma Metabolic Fingerprinting as a Novel Tool for Diagnosis and Prognosis of Gastric Cancer: A Large-Scale, Multicentre Study. Gut 2023, 37460165.‍

[118] Cao, J.; Xiao, Y.; Zhang, M.; Huang, L.; Wang, Y.; Liu, W.; Wang, X.; Wu, J.; Huang, Y.; Wang, R.; Zhou, L.; Li, L.; Zhang, Y.; Ren, L.; Qian, K.; Wang, J. Deep Learning of Dual Plasma Fingerprints for High-Performance Infection Classification. Small 2023, 19, 202206349.

[117] Chen, W.; Yu, H.; Hao, Y.; Liu, W.; Wang, R.; Huang, Y.; Wu, J.; Feng, L.; Guan, Y.; Huang, L.; Qian, K. Comprehensive Metabolic Fingerprints Characterize Neuromyelitis Optica Spectrum Disorder by Nanoparticle-Enhanced Laser Desorption/Ionization Mass Spectrometry. ACS Nano 2023, 17, 19779.

[116] Hou, M.; Su, H.; Wu, Q.; Sun, W.; Zhang, P.; Jiang, Y.; Qian, K.; Zhang, C. A Self-Enhancing Nanoreactor Reinforces Radioimmunotherapy by Reprogramming Nutrients and Redox Metabolisms. Advanced Functional Materials 2023, 33, 202212510.

[115] Huang, L.; Qian, K. Advanced Materials for Disease Diagnostics. Materials Today Bio 2023, 20, 100676.

[114] Li, P.; Chen, J.; Chen, Y.; Song, S.; Huang, X.; Yang, Y.; Li, Y.; Tong, Y.; Xie, Y.; Li, J.; Li, S.; Wang, J.; Qian, K.; Wang, C.; Du, L. Construction of Exosome SORL1 Detection Platform Based on 3D Porous Microfluidic Chip and Its Application in Early Diagnosis of Colorectal Cancer. Small 2023, 19, 1.

[113] Li, X.; Qian, K.; Huang, L. Emerging Biosensors Based on Noble Metal Self‐Assembly for In Vitro Disease Diagnosis. Advanced NanoBiomed Research 2023, 3, 202200148.

[112] Liang, D.; Wang, Y.; Qian, K. Nanozymes: Applications in Clinical Biomarker Detection. Interdisciplinary Medicine 2023, 1, 20230020.‍

[111] Meng, F.; Yu, W.; Niu, M.; Tian, X.; Miao, Y.; Li, X.; Zhou, Y.; Ma, L.; Zhang, X.; Qian, K.; Yu, Y.; Wang, J.; Huang, L. Ratiometric Electrochemical OR Gate Assay for NSCLC-Derived Exosomes. Journal of Nanobiotechnology 2023, 21, 1.

[110] Su, H.; Li, S.; Yang, G. Z.; Qian, K. Janus Micro/Nanorobots in Biomedical Applications. Advanced Healthcare Materials 2023, 12, 1.

[109] Su, J.; Cao, J.; Yang, H.; Xu, W.; Liu, W.; Wang, R.; Huang, Y.; Wu, J.; Gao, X.; Weng, R.; Pu, J.; Liu, N.; Gu, Y.; Qian, K.; Ni, W. Diagnosis of Unruptured Intracranial Aneurysm by High-Performance Serum Metabolic Fingerprints. Small Methods 2023, 7, 1-9.

[108] Tong, R.; Luo, L.; Zhao, Y.; Sun, M.; Li, R.; Zhong, J.; Chen, Y.; Hu, L.; Li, Z.; Shi, J.; Lyu, Y.; Hu, L.; Guo, X.; Liu, Q.; Shuang, T.; Zhang, C.; Yuan, A.; Sun, L.; Zhang, Z.; Qian, K.; Chen, L.; Lin, W.; Chen, A. F.; Wang, F.; Pu, J. Characterizing the Cellular and Molecular Variabilities of Peripheral Immune Cells in Healthy Recipients of BBIBP-CorV Inactivated SARS-CoV-2 Vaccine by Single-Cell RNA Sequencing. Emerging Microbes and Infections 2023, 12, 36987861.

[107] Wang, Y.; Huang, X.; Qian, K. Editorial: Multi-Omics Research as Biomedical Interfaces with the Engineering and Informatics for Healthcare. Frontiers in Bioengineering and Biotechnology 2023, 11, 1.

[106] Xu, W.; Chen, L.; Cai, G.; Gao, M.; Chen, Y.; Pu, J.; Chen, X.; Liu, N.; Ye, Q.; Qian, K. Diagnosis of Parkinson’s Disease via the Metabolic Fingerprint in Saliva by Deep Learning. Small Methods 2023, 7, 1.

[105] Zhang, R.; Qian, K. High‐Throughput Screening of Metabolic Biomarkers and Wearable Biosensors for the Quantification of Metabolites. Advanced Sensor Research 2023, 2, 2200052.

[104] Wu, J.; Liang, C.; Wang, X.; Huang, Y.; Liu, W.; Wang, R.; Cao, J.; Su, X.; Yin, T.; Wang, X.; Zhang, Z.; Shen, L.; Li, D.; Zou, W.; Wu, J.; Qiu, L.; Di, W.; Cao, Y.; Ji, D.; Qian, K. Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility. Advanced Science 2023, 10, advs.202302023.

[103] Chen, Y.; Xu, W.; Zhang, W.; Tong, R.; Yuan, A.; Li, Z.; Jiang, H.; Hu, L.; Huang, L.; Xu, Y.; Zhang, Z.; Sun, M.; Yan, X.; Chen, A. F.; Qian, K.; Pu, J. Plasma Metabolic Fingerprints for Large-Scale Screening and Personalized Risk Stratification of Metabolic Syndrome. Cell Reports Medicine 2023, 4, 7, 101109.

[102] Wang, Y.; Li, B.; Tian, T.; Liu, Y.; Zhang, J.; Qian, K. Advanced on-site and in vitro signal amplification biosensors for biomolecule analysis. Trends in Analytical Chemistry 2022, 149, 116565.

[101] Huang, L.; Zhou, Y.; Zhu, Y.; Su, H.; Yang, S.; Feng, L.; Zhao L.; Liu, S.; Qian, K. Dual-modal nanoplatform integrated with smartphone for hierarchical diabetic detection. Biosensors and Bioelectronics 2022, 210, 114254.

[100] Liu, W.; Wang, R.; Vedarethinam, V.; Huang, L.; Qian, K. Advanced materials for precise detection and antibiotic-free inhibition of bacteria. Materials Today Advances 2022, 13, 100204.

[99] Xu, X.; Yang, S.; Wang, Y.; Qian, K. Nanomaterial-based sensors and strategies for heavy metal ion detection.‍ Green Analytical Chemistry 2022, 2, 100020.

[98] Zhang, Y.; He, C.; Huang, L.; Qian, K.; Chen, W.; Jia, Y.; Hu, J.; Wei, Q.; Wang, X.; Liu, S. Diagnosing lung cancer through metabolic fingerprint based on machine learning. Chinese Journal of Laboratory Medicine 2022, 45, 226-233.

[97] Zhang, M.; Huang, L.; Li, Z.; Ma, Z.; Wei, L.; Yuan, A.; Hu, L.; Zhang, W.; Qian, K.; Pu, J. Plasma metabolic signature of cardiovascular and cerebrovascular diseases from a large cohort study. Journal of Shanghai Jiao Tong University (Medical Science) 2022, 42, 259.

[96] Niu, J.; Xu, W.; Wei, D.; Qian, K.; Wang, Q. Deep learning framework for integrating multibatch calibration, classification, and pathway activities. Analytical Chemistry 2022, 94, 8937-8946.

[95] Liu, X.; Song, N.; Qian, D.; Gu, S.; Pu, J.; Huang, L.; Liu, J.; Qian, K. Porous inorganic materials for bioanalysis and diagnostic applications. ACS Biomaterials Science & Engineering 2022, 8, 4092-4109.

[94] Yin, X.; Yang, J.; Zhang, M.; Wang, X.; Xu, W.; Price, C.; Huang, L.; Liu, W.; Su, H.; Wang, W.; Chen, H.; Hou, G.; Walker, M.; Zhou, Y.; Shen, Z.; Liu, J.; Qian, K.; Di, W. Serum metabolic fingerprints on bowl-shaped submicroreactor chip for chemotherapy monitoring. ACS Nano 2022, 16, 2852-2865.

[93] Wang, R.; Gu, Z.; Wang, Y.; Yin, X.; Liu, W.; Chen, W.; Huang, Y.; Wu, J.; Yang, S.; Feng, L.; Zhou, L.; Li, L.; Di, W.; Pu, X.; Huang, L.; Qian, K. A “one-stop shop” decision tree for diagnosing and phenotyping polycystic ovarian syndrome on serum metabolic fingerprints.‍ Advanced Functional Materials 2022, 32, 2206670.

[92] Cao, J.; Wang, Y.; Zhang, Y.; Qian, K. Emerging applications of mass spectrometry-based metabolic fingerprinting in clinics. Advanced Intelligent Systems 2022, 4, 2100191.

[91] Yang, J.; Yin, X.; Zhang, L.; Zhang, X.; Lin, Y.; Zhuang, L.; Liu, W.; Zhang, R.; Yan, X.; Shi, L.; Di, W.; Feng, L.; Jia, Y.; Wang, J.; Qian, K.; Yao, X. Defective Fe metal-organic frameworks enhance metabolic profiling for high-accuracy diagnosis of human cancers. Advanced Materials 2022, 34, 2201422.

[90] Wang, L.; Zhang, M.; Pan, X.; Zhao, M.; Huang, L.; Hu, X.; Wang, X.; Qiao, L.; Guo, Q.; Xu, W.; Qian, W.; Xue, T.; Ye, X.; Li, M.; Su, H.; Kuang, Y.; Lu, X.; Ye, X.; Qian, K.; Lou, J. Integrative serum metabolic fingerprints based multi-modal platforms for lung adenocarcinoma early detection and pulmonary nodule classification. Advanced Science 2022, 9, 2203786.

[89] Sun, L.; Lyu, Y.; Zhang, H.; Shen, Z.; Lin, G.; Geng, N.; Wang, Y.; Huang, L.; Feng, Z.; Guo, X.; Lin, N.; Ding, S.; Yuan, A.; Zhang, L.; Qian, K.; Pu, J. Nuclear receptor NR1D1 regulates abdominal aortic aneurysm development by targeting the mitochondrial tricarboxylic acid cycle enzyme aconitase-2. Circulation 2022, 146, 1591-1609.

[88] Yang, J.; Huang, L.; Qian, K. Nanomaterials-assisted metabolic analysis toward in vitro diagnostics. Exploration 2022, 2, 20210222.

[87] Li, K.; Xu, X.; Liu, W.; Yang, S.; Huang, L.; Tang, S.; Zhang, Z.; Wang, Y.; Chen, F.; Qian, K. A copper-based biosensor for dual-mode glucose detection.‍ Frontiers in Chemistry 2022, 10, 861353.

[86] Huang, Y.; Du, S.; Liu, J.; Huang, W.; Liu, W.; Zhang, M.; Li, N.; Wang, R.; Wu, J.; Chen, W.; Jiang, M.; Zhou, T.; Cao, J.; Yang, J.; Huang, L.; Gu, A.; Niu, J.; Cao, Y.; Zong, W.; Wang, X.; Liu, J.; Qian, K.; Wang, H. Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints.‍ Proceedings of the National Academy of Sciences of the United States of America 2022, 119, e2122245119.

[85] Qian, K. Nianrong Sun and Chunhui Deng: Magnetic micro-/nano-materials for proteomics analysis.‍ Analytical and Bioanalytical Chemistry 2022, 414, 4019-4020.

[84] Niu, J.; Yang, J.; Guo, Y.; Qian, K.; Wang, Q. Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics. BMC Bioinformatics 2022, 23, 270.

[83] Meng, F.; Yu, W.; Chen, C.; Guo, S.; Tian, X.; Miao, Y.; Ma, L.; Zhang, X.; Yu, Y.; Huang, L.; Qian, K.; Wang, J. A versatile electrochemical biosensor for the detection of circulating microRNA toward non-small cell lung cancer diagnosis. Small 2022, 18, 2200784.

[82] Liu, W.; Luo, Y.; Dai, J.; Yang, L.; Huang, L.; Wang, R.; Chen, W.; Huang, Y.; Sun, S.; Cao, J.; Wu, J.; Han, M.; Fan, J.; He, M.; Qian, K.; Fan, X.; Jia, R. Monitoring retinoblastoma by machine learning of aqueous humor metabolic fingerprinting. Small Methods 2022, 6, 2270005.

[81] Wu, J.; Xu, M.; Liu, W.; Huang, Y.; Wang, R.; Chen, W.; Feng, L.; Liu, N.; Sun, X.; Zhou, M.; Qian, K. Glaucoma characterization by machine learning of tear metabolic fingerprinting. Small Methods 2022, 6, 2200264.

‍[80] Su, H.; Li, X.; Huang, L.; Cao, J.; Zhang, M.; Vedarethinam, V.; Di, W.; Hu, Z.; Qian, K. Plasmonic alloys reveal distinct metabolic phenotype of early gastric cancer. Advanced Materials 2021, 33, 2007978.

[79] Deng, J.; Chen, Q.; Chen, Z.; Liang, K.; Gao, X.; Wang, X.; Makota, F.; Sheng, H.; Wan, Y.; Luo, K.; Gong, D.; Yu, X.; Camuglia, S.; Zeng, Q.; Zhou, T.; Xue,F.; He, J.; Wei, Y.; Xiao, F.; Ma, J.; Hill, D.; Pierson, W.; Nguyen, T.; Zhou, H.; Wang, Y.; Shen, W.; Sun, L.; Li, Z.; Xia, Q.; Qian, K.; Ye, L.; Rockman, S.; Linterman, M.; Kedzierska, K.; Shen, N.; Lu, L.; Yu, D. The metabolic hormone leptin promotes the function of TFH cells and supports vaccine responses. Nature Communications 2021, 12, 3073.

[78] Zhang, M.; Huang, L.; Yang, J.; Xu, W.; Su, H.; Cao, J.; Wang, Q.; Pu, J.; Qian, K. Ultra-fast label-free serum metabolic diagnosis of coronary heart disease via a deep stabilizer. Advanced Science 2021, 8, 2101333.

‍‍‍[77] Sun, S.; Liu, W.; Yang, J.; Wang, H.; Qian, K. Nanoparticle assisted cation adduction and fragmentation of small metabolites. Angewandte Chemie 2021, 60, ‍11310-11317.‍

[76] Li, X.; Kulkarni, A.; Liu, X.; Gao, W.; Huang, L.; Hu, Z.; Qian, K. Metal-organic framework hybrids aid metabolic profiling for colorectal cancer. Small Methods 2021, 5, 2001001.

[75] Kulkarni, A.; Huang, L.; Qian, K. Material-assisted mass spectrometric analysis of low molecular weight compounds for biomedical applications. Journal of Materials Chemistry B 2021, 9, 3622-3639.

[74] Li, X.; Huang, L.; Qian, K. Nanomaterial-based electrochemical sensors: mechanism, preparation, and application in biomedicine. Advanced NanoBiomed Research 2021, 1, 2000104.

[73] Zhang, C.; Chen, S.; Li, Q.; Wu, J.; Qiu, F.; Chen, Z.; Sun, Y.; Luo, J.; Bastarrachea, R. A.; Grayburn, P. A.; DeFronzo, R. A.; Liu, Y.; Qian, K.; Huang, P. Ultrasound-targeted microbubble destruction mediates gene transfection for beta-cell regeneration and glucose regulation. Small 2021, 17, 2008177.

[72] Han, H.; Yen, H.; Wu, H.; Tan, H.; Xu, W.; Jiang, H.; Tsai, P.; Qian, K.; Wu, Y.; Chen, C. Ultrasensitive detection of Alzheimer’s amyloids on a plasmonic-gold platform. ACS Applied Materials & Interfaces 2021, 13, 57036-57042.

[71] Lan, G.; Yang, J.; Ye, R.; Boyjoo, Y.; Liang, J.; Liu, X.; Li, Y.; Liu, J.; Qian, K. Sustainable carbon materials towards emerging applications. Small Methods 2021, 5, 2001250.

‍[70] Cao, J.; Shi, X.; Gurav, D.; Huang, L.; Su, H.; Li, K.; Niu, J.; Zhang, M.; Wang, Q.; Jiang, M.; Qian, K. Metabolic fingerprinting on synthetic alloys for medulloblastoma diagnosis and radio therapy evaluation. Advanced Materials 2020, 32, 2000906.

[69] Huang, L.; Wang, L.; Hu, X.; Chen, S.; Tao, Y.; Su, H.; Yang, J.; Xu, W.; Vedarethinam, V.; Wu, S.; Liu, B.; Wan, X.; Lou, J.; Wang, Q.; Qian, K. Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma. Nature Communications 2020, 11, 3556.

[68] Rana, M.; Xu, L.; Cai, J.; Vedarethinam, V.; Tang, Y.; Guo, Q.; Huang, H.; Shen, N.; Di, W.; Ding, H.; Huang, L.; Qian, K. Zirconia hybrid nanoshells for nutrient and toxin detection. Small 2020, 16, 2003902.

[67] Xu, W.; Lin, J.; Gao, M.; Chen, Y.; Cao, J.; Pu, J.; Huang, L.; Zhao, Jing.; Qian, K. Rapid computer-aided diagnosis of stroke by serum metabolic fingerprint based multi-modal recognition. Advanced Science 2020, 7, 2002021.

[66] Vedarethinam, V.; Huang, L.; Zhang, M.; Su, H.; Hu, H.; Xia, H.; Liu, Y.; Wu, B.; Wan, X.; Shen, J.; Xu, L.; Liu, W.; Ma, J.; Qian, K. Vanadium core–shell nanorods inspect metabolic changes of diabetic retinopathy. Advanced Functional Materials 2020, 30, 2002791.

[65] Tan, H.; Hu, H.; Huang, L.; Qian, K. Plasmonic tweezers for optical manipulation and biomedical applications. Analyst 2020, 145, 5699.

‍[64] Xu, W.; Wang, L.; Zhang, R.; Sun, X.; Huang, L.; Su, H.; Wei, X.; Chen, C.; Lou, J.; Dai, H.; Qian, K. Diagnosis and prognosis of myocardial infarction on a plasmonic chip. Nature Communications 2020, 11, 1654.

[63] Yang, J.; Wang, R.; Huang, L.; Zhang, M.; Niu, J.; Bao, C.; Shen, N.; Dai, M.; Guo, Q.; Wang, Q.; Fu, Q.; Qian, K. Urine metabolic fingerprints encode subtypes of kidney diseases. Angewandte Chemie 2020, 59, 1703-1710.‍

[62] Huang, L.; Qian, K. Precision diagnosis for the era of personalized medicine. Small Methods 2020, 4, 1900717.

[61] Chen, W.; Li, S.; Kulkarni, A.; Huang, L.; Jing, C.; Qian, K.; Wan, J. Single cell omics: From assay design to biomedical application. Biotechnology Journal 2020, 15, 1900262.

[60] Liu, J.; Cai, C.; Wang, Y.; Liu, Y.; Huang, L.; Tian, T.; Yao, Y.; Wei, J.; Chen, R.; Zhang, K.; Liu, B.; Qian, K. A biomimetic plasmonic nanoreactor for reliable metabolite detection. Advanced Science 2020, 7, 1903730.

[59] Su, H.; Tian, Q.; Hurd Price, C.; Xu, L.; Qian, K.; Liu, J. Nanoporous core@shell particles: Design, preparation, applications in bioadsorption and biocatalysis. Nano Today 2020, 31, 100834.

[58] Liu, W.; Sun, S.; Huang, Y.; Wang, R.; Xu, J.; Liu, X.; Qian, K. Label‐free detection of transferrin receptor by a designed ligand‐protein sensor. Chemistry-An Asian Journal 2020, 15, 56-60.

[57] Wang, L.; Hu, X.; Guo, Q.; Huang, X.; Lin, C.; Chen, X.; Li, M.; Yao, Q.; Zhou, Q.; Wang, J.; Lin, S.; Zhao, G.; Weng, L.; Qian, K.; Lou, J. Clamp‐seq: A novel amplicon‐based NGS assay with concatemer error correction for improved detection of actionable mutations in plasma cfDNA from patients with NSCLC. Small Methods 2020, 4, 1900357.

[56] Zhu, L.; Yang, B.; Qian, K.; Qiao, L.; Liu, Y.; Liu, B. Sensitive electrochemical aptasensor for detecting EpCAM with silica nanoparticles and quantum dots for signal amplification. Journal of Electroanalytical Chemistry 2020, 856, 113655.

[55] Dai, P.; Wang, X.; Gou, T.; Li, Z.; Wen, Z.; Chen, Z.; Hua, M.; Zhong, A.; Wang, L.; Su, H.; Wan, H.; Qian, K.; Liao, L.; Li, J.; Tian, B.; Li, D.; Fu, X.; Shi, H.; Zhou, Y.; Liu, M. A translation-activating function of MIWI/piRNA during mouse spermiogenesis. Cell 2019, 179, 1566-1581.

[54] Huang, L.; Gurav, D.; Wu, S.; Xu, W.; Vedarethinam, V.; Yang, J.; Su, H.; Wan, X.; Fang, Y.; Shen, B.; Price, C.; Velliou, E.; Liu, J.; Qian, K. A multifunctional platinum nanoreactor for point-of-care metabolic analysis. Matter 2019, 1, 1669-1680.

[53] Su, H.; Price, C.; Jing, L.; Tian, Q.; Liu, J.; Qian, K. Janus particles: Design, preparation, and biomedical applications. Materials Today Bio 2019, 4, 100033.

[52] Sun, S.; Wang, R.; Huang, Y.; Xu, J.; Yao, K.; Liu, W.; Cao, Y.; Qian, K. Design of hierarchical beads for efficient label-free cell capture. Small 2019, 34, 1902441.

[51] Zhang, R.; Rejeeth, C.; Xu, W.; Zhu, C.; Liu, X.; Wan, J.; Jiang, M.; Qian, K. Label-free electrochemical sensor for CD44 by ligand-protein interaction. Analytical Chemistry 2019, 91, 7078-7085.

[50] Zhang, R.; Le, B.; Xu, W.; Guo, K.; Sun, X.; Su, H.; Huang, L.; Huang, J.; Shen, T.; Liao, T.; Liang, Y.; Zhang, X.; Dai, H.; Qian, K. Magnetic “squashing” of circulating tumor cells on plasmonic substrates for ultrasensitive NIR fluorescence detection. Small Methods 2019, 3, 1800474.

[49] Gurav, D.; Jia, Y.; Ye, J.; Qian, K. Design of plasmonic nanomaterials for diagnostic spectrometry. Nanoscale Advances 2019, 1, 459-469.

[48] Vedarethinam, V.; Huang, L.; Xu, W.; Zhang, R.; Gurav, D.; Sun, X.; Yang, J.; Chen, R.; Qian, K. Detection and inhibition of bacteria on a dual-functional silver platform. Small 2019, 15, 1803051.

[47] Sun, X.; Huang, L.; Zhang, R.; Xu, W.; Huang, J.; Gurav, D.;Vedarethinam, V.; Chen, R.; Lou, J.; Wang, Q.; Wan, J.; Qian, K. Metabolic fingerprinting on a plasmonic gold chip for mass spectrometry based in vitro diagnostics.ACS Central Science 2018, 4, 223-229.

[46] Zhang, K.; Liu, Y.; Wang, Y.; Zhang, R.; Liu, J.; Wei, J.; Qian, H.; Qian, K.; Chen, R.; Liu, B. Quantitative SERS detection of dopamine in cerebrospinal fluid by dual-recognition-induced hot spot generation. ACS Applied Materials & Interfaces 2018, 10, 15388-15394.

[45] Wu, S.; Qian, L.; Huang, L.; Sun, X.; Su, H.; Gurav, D.; Jiang, M.; Cai, W.; Qian, K. A plasmonic mass spectrometry approach for detection of small nutrients and toxins. Nano-Micro Letters 2018, 10, 52.

[44] Shen, W.; Song, Y.; Burklund, A.; Le, B.; Zhang, R.; Wang, L.; Xi, Y.; Qian, K.; Shen, T.; Zhang, J. Combined immunomagnetic capture coupled with ultrasensitive plasmonic detection of circulating tumor cells in blood. Biomedical Microdevices 2018, 20, 99.

[43] Su, H.; Liu, T.; Huang, L.; Huang, J.; Cao, J.; Yang, H.; Ye, J.; Liu, J.; Qian, K. Plasmonic janus hybrids for detection of small metabolites. Journal of Materials Chemistry B 2018, 6, 7280-7287.

[42] Rejeeth, C.; Pang, X.; Zhang, R.; Xu, W.; Sun, X.; Liu, B.; Lou, J.; Wan, J.; Gu, H.; Yan, W.; Qian, K. Extraction, detection, and profiling of serum biomarkers using designed Fe3O4@SiO2@HA core-shell particles. Nano Research 2018, 11, 68-79.

[41] Li, R.; Gurav, D.; Wan, J.; Qian, K. A coming era of precision diagnostics based on nano-assisted mass spectrometry. Precision Nanomedicine 2018, 1, 162-172.

[40] Huang, L.; Wan, J.; Wei, X.; Liu, Y.; Huang, J.; Sun, X.; Zhang, R.; Gurav, D.; Vedarethinam, V.; Li, Y.; Chen, R.; Qian, K. Plasmonic silver nanoshells for drug and metabolite detection. Nature Communications 2017, 8, 220.

[39] Yan, L.; Qiao, L.; Ji, J.; Li, Y.; Yin, X.; Lin, L.; Liu, X.; Yao, J.; Wang, Y.; Liu, B.; Qian, K.; Liu, B.; Yang, P. In-tip nanoreactors for cancer cells proteome profiling. Analytica Chimica Acta 2017, 949, 43-52.

[38] Wei, X.; Liu, Z.; Jin, X.; Huang, L.; Gurav, D.; Sun, X.; Liu, B.; Ye, J.; Qian, K. Plasmonic nanoshells enhanced laser desorption/ionization mass spectrometry for detection of serum metabolites. Analytica Chimica Acta 2017, 950, 147-155.

[37] Sun, X.; Wan, J.; Qian, K. Designed microdevices for in vitro diagnostics. Small Methods 2017, 1, 1700196.

[36] Rejeeth, C.; Vivek, R.; NipunBabu, V.; Sharma, A.; Ding, X.; Qian, K. Cancer nanomedicine: From PDGF targeted drug delivery. Medchemcomm 2017, 8, 2055-2059.

[35] Pradeepa, S.; Boobalan, M.; Tamilvendan, D.; Sundaraganesan, N.; Sebastian, S.; Qian, K. Spectra, electronic structure and molecular docking investigation son3-(phenyl(p-tolylamino)methyl) naphthalen-2-ol - an experimental and computational approach. Journal of Molecular Structure 2017, 1135, 53-66.

[34] Li, Y.; Wu, J.; Qian, K.; Wu, J.; Liu, B.; Wang, Y.; Zhang, J. Janus graphene hybrids: Fabrication of janus graphene hybrids with controlled structure and high stability. International Journal of Nanomanufacturing 2017, 13, 2.

[33] Zhang, L.; Qian, K.; Wang, X.; Zhang, F.; Shi, X.; Jiang, Y.; Liu, S.; Jaroniec, M.; Liu, J. Yolk-shell-structured aluminum phenylphosphonate microspheres with anionic core and cationic shell. Advanced Science 2016, 3, 1500363.

[32] Wu, J.; Wei, X.; Gan, J.; Huang, L.; Shen, T.; Lou, J.; Liu, B.; Zhang, J.; Qian, K. Multifunctional magnetic particles for combined circulating tumor cells isolation and cellular metabolism detection. Advanced Functional Materials 2016, 26, 4016-4025.

[31] Liu, T.; Qu, L.; Qian, K.; Liu, J.; Zhang, Q.; Liu, L.; Liu, S. Raspberry-like hollow carbon nanospheres with enhanced matrix-free peptide detection profiles. Chemical Communications 2016, 52, 1709-1712.

[30] Liu, B.; Li, Y.; Wan, H.; Wang, L.; Xu, W.; Zhu, S.; Liang, Y.; Zhang, B.; Lou, J.; Dai, H.; Qian, K. High performance, multiplexed lung cancer biomarker detection on a plasmonic gold chip. Advanced Functional Materials 2016, 26, 7994-8002.

[29] Li, Y.; Yan, L.; Liu, Y.; Qian, K.; Liu, B.; Yang, P.; Liu, B. High-efficiency nano/micro-reactors for protein analysis. RSC Advances 2015, 5, 1331-1342.

[28] Gan, J.; Wei, X.; Li, Y.; Wu, J.; Qian, K.; Liu, B. Designer SiO2@Au nanoshells towards sensitive and selective detection of small molecules in laser desorption ionization mass spectrometry. Nanomedicine: Nanotechnology, Biology, and Medicine 2015, 11, 1715-1723.

[27] Qian, K.; Zhou, L.; Zhang, J.; Lei, C.; Yu, C. A combo-pore approach for the programmable extraction of peptides/proteins. Nanoscale 2014, 6, 5121-5125.

[26] Lei, C.; Noonan, O.; Jambhrunkar, S.; Qian, K.; Xu, C.; Zhang, J.; Nouwens, A.; Yu, C. Sensitive detection of human insulin using a designed combined pore approach. Small 2014, 10, 2413-2418.

[25] Bian, X.; Qian, K.; Liao, L.; Zhou, X.; Guo, K.; Huang, X.; Yu, C.; Ji, C.; Liu, B. Platinum nanoparticles supported on hierarchical carbon foams for electrocatalytic oxidation of methanol. ECS Electrochemistry Letters 2014, 3, F11-F14.

[24] Zhou, L.; Xu, H.; Zhang, H.; Yang, J.; Hartono, S.; Qian, K.; Zou, J.; Yu, C. Cheap and scalable synthesis of alpha-Fe2O3 multi-shelled hollow spheres as high-performance anode materials for lithium ion batteries. Chemical Communications 2013, 49, 8695-8697.

[23] Qian, K.; Zhou, L.; Liu, J.; Yang, J.; Xu, H.; Yu, M.; Nouwens, A.; Zou, J.; Monteiro, M.; Yu, C. Laser engineered graphene paper for mass spectrometry imaging. Scientific Reports 2013, 3, 1415.

[22] Qian, K.; Liu, F.; Yang, J.; Huang, X.; Gu, W.; Jambhrunkar, S.; Yuan, P.; Yu, C. Pore size-optimized periodic mesoporous organosilicas for the enrichment of peptides and polymers. RSC Advances 2013, 3, 14466-14472.

[21] Lei, C.; Qian, K.; Noonan, O.; Nouwensa, A.; Yu, C. Applications of nanomaterials in mass spectrometry analysis. Nanoscale 2013, 5, 12033-12042.

[20] Gan, J.; Qian, K.; Wan, J.; Qiao, L.; Guo, W.; Yang, P.; Girault, H.; Liu, B. Amino-functionalized macroporous silica for efficient tryptic digestion in acidic solutions. Proteomics 2013, 13, 3117-3123.

[19] Qian, K.; Gu, W.; Yuan, P.; Liu, F.; Wang, Y.; Monteiro, M.; Yu, C. Enrichment and detection of peptides from biological systems using designed periodic mesoporous organosilica microspheres. Small 2012, 8, 231-236.

[18] Huang, X.; Zhou, X.; Qian, K.; Zhao, D.; Liu, Z.; Yu, C. A magnetite nanocrystal/graphene composite as high performance anode for lithium-ion batteries. Journal of Alloys and Compounds 2012, 514, 76-80.

[17] Huang, X.; Qian, K.; Yang, J.; Zhang, J.; Li, L.; Yu, C.; Zhao, D. Functional nanoporous graphene foams with controlled pore sizes. Advanced Materials 2012, 24, 4419-4423.

[16] Yang, J.; Zhou, L.; Zhao, L.; Zhang, H.; Yin, J.; Wei, G.; Qian, K.; Wang, Y.; Yu, C. A designed nanoporous material for phosphate removal with high efficiency. Journal of Materials Chemistry 2011, 21, 2489-2494.

[15] Wang, Y.; Qian, K.; Guo, K.; Kong, J.; Marty, J.; Yu, C.; Liu, B. Electrochemistry and biosensing activity of cytochrome c immobilized in macroporous materials. Microchimica Acta 2011, 175, 87-95.

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