Kun Qian Lab

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[140] Wang, R.; Yang, S.; Wang, M.; Zhou, Y.; Li, X.; Chen, W.; Liu, W.; Huang, Y.; Wu, J.; Cao, J.; Feng, L.; Wang, J.; Wang, J.; Huang, L.; Qian, K. A sustainable approach to universal metabolic cancer diagnosis. Nature Sustainability 2024, accepted.

[139] Zhang, J.; Teng, F.; Hu, B.; Liu, W.; Huang, Y.; Wu, J.; Wang, Y.; Su, H.; Yang, S.; Zhang, L.; Guo, L.; Lei, Z.; Yan, M.; Xu, X.; Wang, R.; Bao, Q.; Dong, Q.; Long, J.; Qian, K. Early diagnosis and prognosis prediction of pancreatic cancer using engineered hybrid core-shells in laser desorption/ionization mass spectrometry. Advanced Materials 2024, 2311431.

[138] Su, H.; Song, Y.; Yang, S.; Zhang, Z.; Shen, Y.; Yu, L.; Chen, S.; Gao, L.; Chen, C.; Hou, D.; Wei, X.; Ma, X.; Huang, P.; Sun, D.; Zhou, J.; Qian, K. Plasmonic alloys enhanced metabolic fingerprints for the diagnosis of COPD and exacerbations. ACS Central Science 2024, 10, 331.

[137] Wu, J.; Wei, Y.; Shi, C.; Huang, Y.; Hong, Z.; Liu, W.; Gu, L.; Wang, R.; Li, Y.; Cao, J.; Di, W.; Hou, X.; Liu, J.; Qian, K.; Qiu, L. Thermally engineered ferric yolk-shells for vaginal secretion based cervical cancer screening. Advanced Functional Materials 2024, 2312380.

[136] Shan, L.; Qiao, Y.; Ma, L.; Zhang, X.; Chen, C.; Xu, X.; Li, D.; Qiu, S.; Xue, X.; Yu, Y.; Guo Y.; Qian, K.; Wang J. AuNPs/CNC nanocomposite with a "dual dispersion" effect for LDI-TOF MS analysis of intact proteins in NSCLC serum exosomes. Advanced Science 2024, 2307360.

[135] Su, H.; Zhang, H.; Wu, J.; Huang, L.; Zhang, M.; Xu, W.; Cao, J.; Liu, W.; Liu, N.; Jiang, H.; Gu, X.; Qian, K. Fast label-free metabolic profile recognition identifies phenylketonuria and subtypes. Advanced Science 2024, 2305701.

[134] Li, X.; Chen, W.; Wu, M.; Yu, W.; Wang, M.; Niu, M.; Meng, F.; Zhao, Y.; Osman, A.; Mousa, N.O.; Shi, H.; Qian, K.; Wang, J.; Huang, L. Plasmonic array assisted mass spectrometry for preferential metabolite detection. Chemical Engineering Journal 2024, 486, 150224.

[133] Wu, T.; Shen C.; Zhao, Z.; Meng, L.; Bai, H.; Hu, X.; Ming, L.; Zhao, J.; Zhang, R.; Qian, K.; Xu, G.; Ying, B. Integrating paper-based microfluidics and lateral flow strip into nucleic acid amplification device towards rapid, low-cost, and visual diagnosis of multiple mycobacteria. Small Methods 2024, 2400095.

[132] Hao, Q.; Li, R.; Li, H.; Rui, S.; You, L.; Zhang, L.; Zhao, Y.; Li, P.; Li, Y.; Kong, X.; Chen, H.; Zou, X.; Liu, F.; Wang, X.; Zhou, J.; Zhang, W.; Huang, L.; Shu, Y.; Liu, J.Y.; Sun, R.; Li, C.; Zhu, J.; Jiang, Y.; Wei, T.; Qian, K.; Bai, B.; Hu, Y.; Peng, Y.; Dai, L.; Caulin, C.; Xu, H.; Li, Z.; Park, J.; Luo, H.; Ying, B. Dynamics of the Γδtcr repertoires during the dedifferentiation process and pilot implications for immunotherapy of thyroid cancer. Advanced Science 2024, 2023063641.

[131] Peng, Z.; Wang, Y.; Wu, X.; Yang S.; Du X.; Xu, X.; Hu, C.; Liu, W.; Zhu, Y.; Dong, B.; Pan, J.; Qian, K.; Dong, L.; Xue, W. Identifying high gleason score prostate cancer by prostate fluid metabolic fingerprint based multi-modal recognition. Small Methods 2024, 2301684.

[130] Liu, W.; Ma, J.; Zhang, J.; Cao, J.; Hu, X.; Huang, Y.; Wang, R.; Wu, J.; Di, W.; Qian, K.; Yin, X. Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis. EMBO Molecular Medicine 2024, https://doi.org/10.1038/s44321-024-00033-1.

[129] Huang, Y.; Yang, H.; Li, J.; Wang, F.; Liu, W.; Liu, Y.; Wang, R.; Duan, L.; Wu, J.; Gao, Z.; Cao, J.; Bian, F.; Zhang, J.; Zhao, F.; Yang, S.; Cao, S.; Yang, A.; Wang, X.; Geng, M.; Hao, A.; Li, J.; Cao, J.; Li, C.; Zhang, Z.; Zhang, N.; Huang, Y.; Zhang, Y.; Qian, K.; Zhou, F. Diagnosis of esophageal squamous cell carcinoma by high-performance serum metabolic fingerprints: a retrospective study. Small Methods 2024, 8, 2301046.

[128] Wang, Y.; Xu, X.; Fang, Y.; Yang, S.; Wang, Q.; Liu, W.; Zhang, J.; Liang, D.; Zhai, W.; Qian, K. Self-assembled hyperbranched gold nanoarrays decode serum united urine metabolic fingerprints for kidney tumor diagnosis. ACS Nano 2024, 18, 2409.

[127] Li, S.; Ding, H.; Qi, Z.; Yang, J.; Huang, J.; Huang, L.; Zhang, M.; Tang, Y.; Shen, N.; Qian, K.; Guo, Q.; Wan, J. Serum metabolic fingerprints characterize systemic lupus erythematosus. Advanced Science 2024, 11, 2304610.

[126] Cao, J.; Yao, Q. J.; Wu, J.; Chen, X.; Huang, L.; Liu, W.; Qian, K.; Wan, J. J.; Zhou, B. O. Deciphering the metabolic heterogeneity of hematopoietic stem cells with single-cell resolution. Cell Metabolism 2024, 36, 209.

[125] Liu, Y.; Wang, Y.; Shen, J.; Huang, H.; Wan, X.; Wu, B.; Zhu, L.; Wu, B.; Liu, W.; Lin Huang, L.; Qian, K; Ma, J. Ferric particle-assisted LDI platform for metabolic fingerprinting of diabetic retinopathy. Clinical Chemistry and Laboratory Medicine 2023, 0775.




[124] Zhang, Z.; Yang, S.; Su, H.; Qian, K. Porous noble metal-based nanomaterials in biomedical applications. Advanced Nanobiomed Research 2023, 4, 2300078.

[123] Sun, X.; Yu, Y.; Qian, K.; Wang, J.; Huang, L. Recent progress in mass spectrometry-based single-cell metabolic analysis. Small Methods 2023, 8, 2301317.

[122] Yiming, A.; Huang, L.; Qian, K. Progress in tumor biomarker screening based on mass spectrometry. Chinese Journal of Cell Biology 2023, 45, 1793.

[121] 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.

[120] Wang, Y.; Liu, Y.; Yang, S.; Yi, J.; Xu, X.; Zhang, K.; Liu, B.; Qian, K. Host–guest self-assembled interfacial nanoarrays for precise metabolic profiling. Small 2023, 19, 2207190.

[119] Wang, Y.; Li, S.; Qian, K. Nanoparticle-based applications by atmospheric pressure matrix assisted desorption/ionization mass spectrometry. Nanoscale Advances 2023, 5, 6804.

[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, 2206349.

[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, 2212510.

[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, 2207381.

[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, 2200148.

[112] Liang, D.; Wang, Y.; Qian, K. Nanozymes: applications in clinical biomarker detection. Interdisciplinary Medicine 2023, 1, 230020.

[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, 104.

[110] Su, H.; Li, S.; Yang, G. Z.; Qian, K. Janus micro/nanorobots in biomedical applications. Advanced Healthcare Materials 2023, 12‍, 2202391‍.

[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, 2201486.

[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, 1281462.

[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, 2300285.

[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, 2302023.

[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.

[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.

[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, 2122245119.

[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.

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