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Pao-Chi Liao

Pao-Chi Liao

Distinguished Professor

Ph.D, Analytical Chemistry, Michigan State University, USA

Tel: +886-6-235-3535 ext. 5566

Email:liaopc@mail.ncku.edu.tw

Research NCKU


Speciality and Domain

  • Dixon Analysis
  • Protein Chemistry
  • Analytical Cemistry
  • Instrumental Analysis-Mass Spectrometry
  • Biological indicators of disease and toxic exposures

Course

  • Introduction to Mass Spectrometry
  • Biomedical Applications of Mass
  • Principles and Methods for the Risk Assessment of Chemicals in Food
  • food Safety and Sanitation
  • Instrumental Analysis
  • Environmental Toxicology

Education

  • Ph.D, Analytical Chemistry, Michigan State University, USA

Experience

  • Distinguished Professor, Department of Environmental and Occupational Health, National Cheng Kung University College of Medicine, Taiwan
  • Chair, Department of Environmental and Occupational Health, National Cheng Kung University College of Medicine, Taiwan
  • Professor, Department of Environmental and Occupational Health, National Cheng Kung University College of Medicine, Taiwan
  • Associate Professor, Department of Environmental and Occupational Health, National Cheng Kung University College of Medicine, Taiwan
  • Assistant Professor, Department of Environmental and Occupational Health, National Cheng Kung University College of Medicine, Taiwan
  • Postdoctoral Research Fellow, Biochemistry, Michigan State University, USA
  • 5th Supervisors, Taiwan Proteomics Society 1st & 2nd President, (2003-2008); 3rd Executive Council Member (2009-2011); 4th President (2012-2014)
  • 5th President, Taiwan Society for Mass Spectrometry 1st, 2nd  , 3rd Executive Council Member (2003-2015 )

Publication

 

Papers

1. Chen, Y.-C.; Wu, H.-Y.; Chang, C.-W.; Liao, P.-C.* (2022) Post-deconvolution MS/MS spectra extraction with data-independent acquisition for comprehensive profiling of urinary glucuronide conjugated metabolome. Analytical Chemistry. [SCI2020, Impact Factor =6.986, Ranking: Chemistry, Analytical, 8/87, 9.20%]
2. Hsu, J.-F.; Chang, W.C.-W.; Ho, W.-Y; Liao, P.-C.* (2021) Exploration of long-term exposure markers for phthalate esters in human hair using liquid chromatography-tandem mass spectrometry. Analytica Chimica Acta, Accepted [SCI2020, Impact Factor=6.558, Ranking: Chemistry, Analytical, 10/83, 12.0%]
3. Wu, W.-S.; Wu, H.-Y.; Wang P.-H.; Chen, T.-Y.; Chen K.-R.; Chang, C.-W.; Lee D.-E.; Lin, B.-H.; Chang, W.C.-W.; Liao, P.-C.* (2021) LCMD: Lung cancer metabolome database. Computational and Structural Biotechnology Journal. [SCI2020, Impact Factor=7.271, Ranking: Biochemistry & Molecular Biology, 42/295, 14.2%]
4. Chang, W.C.-W.; Wu, H.-Y.; Kan, H.-L.; Lin, Y.-C.; Tsai, P.-J.; Chen Y.-C.; Pan, Y.-Y.; Liao, P.-C.* (2021) Discovery of Spoilage Markers for Chicken Eggs Using Liquid Chromatography-High Resolution Mass Spectrometry-Based Untargeted and Targeted Foodomics. Journal of Agricultural and Food Chemistry, 69, 4331-4341 [SCI2020, Impact Factor=5.279, Ranking: Chemistry, Agriculture, Multidisciplinary, 5/58, 8.62%]
5. Pan, Y.-Y.; Chen, Y.-C.; Chang, W.C.-W.; Ma, M.-C.; Liao, P.-C.* (2021) Visualization of statistically processed LC-MS-based metabolomics data for identifying significant features in a multiple-group comparison. Chemometrics and Intelligent Laboratory Systems, 210, 104271 [SCI2019, Impact Factor=2.895, Ranking: Statistics & Probability, 13/124, 10.5%]
6. Chang, W.C.-W.; Wang, P.-H.; Chang, C-W; Chen, Y-C; Liao, P.-C.* (2021) Extraction strategies for tackling complete hair metabolome using LC-HRMS-based analysis. Talanta, 223, 121708 [SCI2019, Impact Factor=5.339, Ranking: Chemistry, Analytical, 11/86, 12.8%]
7. Chang, W.C.-W.; Chen, Y.-T.; Chen, H.-J.*; Hsieh, C.-W.; Liao, P.-C.* (2020) Comparative UHPLC-Q-Orbitrap HRMS-Based Metabolomics Unveils Biochemical Changes of Black Garlic during Aging Process. Journal of Agricultural and Food Chemistry, 68, 14049-14058 [SCI2019, Impact Factor=4.192, Ranking: Chemistry, Agriculture, Multidisciplinary, 4/58, 6.9%]
8. Chang, W.C.-W.; Wu, H.-Y.; Yeh, Y.; Liao, P.-C.* (2020) Untargeted foodomics strategy using high-resolution mass spectrometry reveals potential indicators for fish freshness. Analytica Chimica Acta, 1127, 98-105. [SCI2019, Impact Factor=5.977, Ranking: Chemistry, Analytical, 10/86, 11.6%]
9. Wang, Y.-T.; Hsu, J.-F.; Hsu, Y.-S.; Liao, P.-C.* (2020) Identification of potential urinary exposure markers for the toxicant diisononyl phthalate in rubber worker urine specimens by high-resolution mass spectrometry-based metabolomics. Urine, 1, 8-16. [-]
10. Huang, H.-S.; Liao, P.-C.; Liu, C.-J. (2020) Calcium Kidney Stones are Associated with Increased Risk of Carotid Atherosclerosis: The Link between Urinary Stone Risks, Carotid Intima-Media Thickness, and Oxidative Stress Markers. Journal of Clinical Medicine, 9, 729. [SCI2019, Impact Factor=3.303, Ranking: Medicine, General & Internal, 36/165, 21.82%]
11. Wu, H.-Y.; Pan, Y.-Y.; Kopylov, A.-T.; Zgoda, V.; Ma, M.-C.; Wang, C.-H.; Su, W.-C.; Lai, W.-W.; Cheng, P.-N.; Liao, P.-C.* (2020) Assessment of Serological Early Biomarker Candidates for Lung Adenocarcinoma by using Multiple Reaction Monitoring-Mass Spectrometry. Proteomics Clinical Applications, 14. [SCI2019, Impact Factor=2.489, Ranking: Biochemical Research Methods, 42/77, 54.5%]
12. Wu, H.-Y.; Ma, M.-C.; Pan, Y.-Y.; Shih, C.-L.; Zgoda, V.; Li, C.-S.; Lin, L.-C.; Liao, P.-C.* (2019) Assessing the Similarity between Random Copolymer Drug Glatiramer Acetate by Using LC-MS Data Coupling with Hypothesis Testing. Analytical Chemistry, 91, 14281-14289 [SCI2019, Impact Factor =6.785, Ranking: Chemistry, Analytical, 7/86, 8.14%]
13. Wang, Y.-C.; Liao, S.-Y-; Kuo, I.-Y.; Chen, Y.-T.; Liao, P.-C.; Liu, Y.-F.; Wu, H.-Y.; Lai, W.-W. (2019) AKT-mediated phosphorylation enhances protein stability and transcription activity of ZNF322A to promote lung cancer progression. ONCOGENE, 38, 6723-6736 [SCI2018, Impact Factor =6.634, Ranking: Genetic Heredity, 15/174, 8.62%]
14. Kopylov, A. T.; Tikhonova, O. V.; Farafonova, T. E.; Novikova, S. E.; Shushkova, N. A.; Shevchenko, V. E.; Liao, P.-C.; Archakov A. I.; Zgoda V. G. (2019). Quantitative Targeted Screening of Proteins Associated with Lung Adenocarcinoma by the Method of Selected Reaction Monitoring. Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry, 13, 60-67 [-]
15. Hsu, J.-F.; Tien, C.-P.; Shih, C.-L; Liao, P.-M.; Wong, H.-I.; Liao, P.-C.* (2019) Using a high-resolution mass spectrometry-based metabolomics strategy for comprehensively screening and identifying biomarkers of phthalate exposure: method development and application. Environment International, 128, 261-270 [SCI2018, Impact Factor =7.943, Ranking: Environmental Sciences, 9/250, 3.6%]
16. Shih, C.-L.; Hsu, J.-Y; Tien, C.-P.; Chung, Y.-N.; Zgoda, V.-G.; Liao, P.-C.* (2019) Exposure marker discovery of di-2(propylheptyl) phthalate using ultra-performance liquid chromatography-mass spectrometry and a rat model. Journal of Food and Drug Analysis, 27, 585-594 [SCI2017, Impact Factor =2.852, Ranking: Food Science & Technology, 33/133, 24.8%]
17. Shih, C.-L.; Wu, H.-Y.; Liao, P.-M.; Hsu, J.-Y.; Tsao, C.-Y.; Zgoda, V.-G.; Liao, P.-C.* (2019) Profiling and comparison of toxicant metabolites in hair and urine using a mass spectrometry-based metabolomic data processing method. Analytica Chimica Acta, 1052, 84-95 [SCI2017, Impact Factor =5.123, Ranking: Chemistry, Analytical, 8/81, 9.9%]
18. Wu, H.-Y.; Shih, C.-L.; Lee, ⁠T.; Chen⁠, T.-Y.; Lin⁠, L.-C.; Lin⁠, K.-Y.; Chang, H.-C.; Chuang, I-C.; Liou, S.-Y.; Liao, P.-C.* (2019) Development and validation of an analytical procedure for quantitation of surfactants in dishwashing detergents using ultra-performance liquid chromatography-mass spectrometry. Talanta, 194, 778-785 [SCI2017, Impact Factor =4.244, Ranking: Chemistry, Analytical, 10/81, 12.3%]
19. Shushkova, N. A.; Vavilov, N. E.; Novikova, S. E.; Farafonova, T. E.; Tikhonova, O. V.; Liao, P.-C.; Zgoda, V. G. (2018). Quantitative Proteomics of Human Blood Exosomes. Biochemistry (Moscow) Supplement Series B: Biomedical Chemistry, 13, 132-139. 
20. Shih, C.-L.; Liao, P.-M.; Hsu, J.-Y.; Chung, Y.-N.; Zgoda, V.-G.; Liao, P.-C.* (2018) Exposure marker discovery of di(isononyl)cyclohexane-1,2-dicarboxylate using two mass spectrometry-based metabolite profiling data processing methods. Environmental Science and Pollution Research, 25, 11999-12011 [SCI2018, Impact Factor =2.914, Ranking: Environmental Sciences, 91/251, 36.2%]
21. Shih, C.-L.; Liao, P.-M.; Hsu, J.-Y.; Chung, Y.-N.; Zgoda, V.-G.; Liao, P.-C.* (2018) Identification of urinary biomarkers of exposure to di-(2-propylheptyl) phthalate using high-resolution mass spectrometry and two data-screening approaches. Chemosphere, 193, 170-177 [SCI2018, Impact Factor =5.108, Ranking: Environmental Sciences, 32/251, 12.7%]
 

Conference Papers

1. Liao P.-C. “ Comparative UHPLC-Q-Orbitrap HRMS-based metabolomics unveils biochemical changes of black garlic during ageing process” American Chemical Society Fall 2021, USA, Aug. 22-26, 2021. (研討會-演講)
2. Liao P.-C. “Identification of the metabolites derived from novel psychoactive substance 4-F-α-PVP using mass spectrometry-based untargeted metabolomics profiling” 2nd Analytical and Bioanalytical Methods Conference, USA, Nov. 05-07, 2020. (研討會-演講)
3. Liao P.-C. “ Assessing the Similarity Between Random Copolymer Drug Glatiramer Acetate by Using LC-MS Data Coupling with Hypothesis Testing” 19th annual pepttalk the protein science week, Jan. 20-24, 2020. (研討會-海報)
4. Liao P.-C. “ HRMS-based metabolomics/peptidomics strategy for discovering toxicant exposure markers and assessing similarity between complex polypeptide drugs” 8th Asia-Oceania Mass Spectrometry Conference, Macao, Jan. 05-07, 2020. (研討會-演講)
5. Liao P.-C. “ High-resolution mass spectrometry (HRMS)-based metabolomics strategy for comprehensively screening biomarkers of phthalate exposure and their applications” International Conference on Chemistry & Analytical Techniques, USA, Nov. 14-15, 2019. (研討會-演講)
6. Liao P.-C. “ HRMS-Based Metabolomics Strategy for Comprehensively Screening Biomarkers of Phthalate Exposure and their Applications” 67th ASMS Conference on Mass Spectrometry, USA, May. 31- Jun. 7, 2019. (研討會-演講)
7. Liao P.-C. “ Sensitive Cortisol Analysis Using a Single Hair with Nanoflow UPLC-MS3 Tandem Mass Spectrometry” Analytical and Bioanalytical Methods Conference, USA, Apr. 26-May. 12, 2019. (研討會-演講)
8. Liao P.-C. “ Profiling and Comparison of toxicant exposure markers in hair and urine samples using mass spectrometry-based metabolomics methods” 2018年中國質譜學會大會, China, Nov. 23-26, 2018. (研討會-演講)
9. Liao P.-C. “ Urinary biomarker discovery of toxicants using mass spectrometry-based metabolomics data processing approaches” SETAC North America 39th Annual Meeting, USA, Nov. 4-8, 2018. (研討會-海報)
10. Liao P.-C. “ Biomarker discovery by proteomics analysis of environmental acidification-influenced Streptococcus pyogenes secretome involved in necrotizing fasciitis” Next Generation Dx Summit 2018, USA, Aug. 20-24, 2018. (研討會-海報)
11. Liao P.-C. “Using Sub-Ranked Database Matching Scores for Improving the Peptide and Protein Identification Performance” 66th Conference on Mass Spectrometry and Allied Topics, San Diego, USA, Jun. 3-7, 2018. (研討會-海報)
12. Liao P.-C. “Discovery of Peptide and Protein Biomarkers Related to Lung Adenocarcinoma Using Mass Spectrometry-Based Label-Free Quantitative Proteomics” Oligonucleotide and Peptide Therapeutics Boston, USA, Mar. 26-28, 2018. (研討會-海報)
13. Liao P.-C. “ Identification and validation serological biomarker candidates for lung adenocarcinoma using mass spectrometry” Molecular Medicine Tri-Conference, USA, Feb. 11-16, 2018. (研討會-海報)
 

Patent

1. 廖寶琦、鄭宏祺、張盈華、李淑慧,專利名稱:癌症轉移之評估方法及生物標記、及抑制癌症轉移之siRNA 化合物,中華民國專利證書發明第 I484183號,專利權期間:2015年5月11日至2031年11月16日止。
2. 廖寶琦、張盈華、李淑慧、張華倩、曾堯麟、賴吾為,專利名稱:Methods and biomarker for evaluating cancer metastasis, pharmaceutical composition for inhibiting cancer metastasis, and method for analyzing secretome,美國發明專利證書申請證號第US 9,194,005 B2號,專利權期間:2015年11月24日至2033年10月19日止。
3. 廖寶琦、張盈華、李淑慧、張華倩、曾堯麟、賴吾為,專利名稱:癌症轉移之評估方法及生物標記、抑制癌症轉移之醫藥組成物、及分泌蛋白質體之分析方法,中華民國專利證書發明第I519787,專利權期間:2016年2月1日至2032年10月30日止。
 
 
 
 
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