[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128611-en":3,"doc-seo-128611-105":31,"detail-sidebar-cat-0-en-105":96},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128611,962084925502,"Lucas Martin","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","Label-Free Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Algorithms in Pathogenic Microbial Identification - Current Trends, Challenges, and Perspectives - Review","Infectious diseases driven by microbial pathogens remain a major source of global health burden, requiring prompt control and effective prevention supported by rapid diagnostics. Conventional microbial detection methods often face high complexity, limited sensitivity, and insufficient selectivity. This review highlights label-free surface-enhanced Raman spectroscopy (SERS) as a non-invasive, fast, reliable, and cost-effective diagnostic approach for detecting bacteria, viruses, and fungi in clinical contexts. It further discusses how machine learning algorithms enhance SERS spectral analysis, summarizes current challenges in SERS deployment, and outlines future perspectives for pathogenic microbial identification.","Research outputs 2022 to 2026  \n7-1-2024  \nLabel-free surface-enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: Current trends, challenges, and perspectives  \nJia Wei Tang Quan Yuan  \nXin Ru Wen  \nMuhammad Usman  \nAlfred Chin Yen Tay  \nSee next page for additional authors  \nFollow this and additional works at: [https://ro.ecu.edu.au/ecuworks2022-2026](https://ro.ecu.edu.au/ecuworks2022-2026)  \n Part of the Artificial Intelligence and Robotics Commons  \n10.1002/INMD.20230060  \nTang, J. W., Yuan, Q., Wen, X. R., Usman, M., Tay, A. C. Y., & Wang, L. (2024) . Label‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: Current trends, challenges, and perspectives. Interdisciplinary Medicine, 2(3) . [https://doi.org/10.1002/INMD.20230060](https://doi.org/10.1002/INMD.20230060)[ ](https://doi.org/10.1002/INMD.20230060)[This Journal Article is posted at Research Online.](This Journal Article is posted at Research Online.)  \n[https://ro.ecu.edu.au/ecuworks2022-2026/4341](https://ro.ecu.edu.au/ecuworks2022-2026/4341)  \nAuthors  \nJia Wei Tang, Quan Yuan, Xin Ru Wen, Muhammad Usman, Alfred Chin Yen Tay, and Liang Wang  \nThis journal article is available at Research Online: [https://ro.ecu.edu.au/ecuworks2022-2026/4341](https://ro.ecu.edu.au/ecuworks2022-2026/4341)  \nReceived: 8 December 2023  \nRevised: 25 January 2024  \nAccepted: 13 February 2024  \nDOI: 10. 1002/INMD.20230060  \nREVIEW  \nLabel‐free surface‐enhanced Raman spectroscopy coupled with machine learning algorithms in pathogenic microbial identification: Current trends, challenges, and perspectives  \nJia‐Wei Tang1,2 | Quan Yuan3 | Xin‐Ru Wen3 | Muhammad Usman3 | Alfred Chin Yen Tay2,4,5,6  | Liang Wang1,7,8,9   \n1Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China  \n2The Marshall Centre for Infectious Diseases Research and Training, The University of Western Australia, Perth, Australia  \n3The School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China 4Marshall Laboratory of Biomedical Engineering, School of Medicine, Shenzhen University, Shenzhen, China 5Marshall International Digestive Diseases Hospital, Zhengzhou University, Zhengzhou, China  \n6Marshall Medical Research Center, Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China  \n7Division of Microbiology and Immunology, School of Biomedical Sciences, The University of Western Australia, Perth, Australia 8Center for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia  \n9School of Agriculture and Food Sustainability, University of Queensland, Brisbane, Australia  \nCorrespondence  \nLiang Wang and Alfred Chin Yen Tay. Email: [healthscience@foxmail.com](healthscience@foxmail.com) and [alfred.tay@uwa.edu.au](alfred.tay@uwa.edu.au)  \nFunding information  \nNational Natural Science Foundation of China, Grant/Award Number: 82372258; Guangdong Basic and Applied Basic Research Foundation, Grant/Award Number: 2022A1515220023; Research Foundation for Advanced Talents of Guangdong Provincial People's Hospital, Grant/Award Number: KY012023293  \nAbstract  \nInfectious diseases caused by microbial pathogens remain a primary contributor to global health burdens. Prompt control and effective prevention of these pathogens are critical for public health and medical diagnostics. Conventional microbial detection methods suffer from high complexity, low sensitivity, and poor selectivity. Therefore, developing rapid and reliable methods for microbial pathogen detection has become imperative. Surface‐enhanced Raman Spectroscopy (SERS), as an innovative non‐invasive diagnostic technique, holds significant promise in pathogenic microorganism detection due to its rapid, reliable, and cost‐effective advantages. This review comprehensively outlines the","cbCaieoF0NJ3ucRk","https://ap.wps.com/l/cbCaieoF0NJ3ucRk","pdf",2077817,2,1,22,"English","en",105,"# Abstract\n# Introduction\n## Microbial threats and need for rapid identification\n## Limits of conventional detection methods\n# Label-free SERS foundations and latest advances\n## SERS for bacteria detection\n## SERS for virus detection\n## SERS for fungi detection\n# Machine learning in SERS spectral analysis\n# Challenges and future perspectives","[{\"question\":\"Why are rapid and reliable microbial detection methods important?\",\"answer\":\"Microbial pathogens cause significant morbidity and mortality, making prompt control and effective prevention essential. Rapid and reliable identification is critical for public health and medical diagnostics.\"},{\"question\":\"What advantages does label-free surface-enhanced Raman spectroscopy (SERS) offer?\",\"answer\":\"SERS provides a non-invasive diagnostic route with rapid results, reliability, and cost-effectiveness. It is promising for detecting pathogenic bacteria, viruses, and fungi in clinical settings.\"},{\"question\":\"How do machine learning algorithms contribute to SERS-based diagnosis?\",\"answer\":\"Machine learning improves the analysis of SERS spectral data, supporting more effective interpretation of spectral patterns for microbial identification. The review emphasizes the role of these algorithms in SERS spectral analysis.\"},{\"question\":\"What challenges and future directions are discussed for SERS application?\",\"answer\":\"The review probes practical challenges facing SERS deployment and discusses prospective development paths. These points guide expectations for future progress in pathogenic microbial identification.\"}]","Label-Free Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Algorithms in Pathogenic Microbial Identification - Current Trends, Challenges, and Perspectives - Review | PDF",1786002094,55,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":91,"head_meta":93,"extra_data":95,"updated_unix":29},"label-free-surface-enhanced-raman-spectroscopy-coupled-with-machine-learning-algorithms-in-pathogenic-microbial-identification-current-trends-challenges-and-perspectives-review","",{"@graph":37,"@context":90},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,48,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":20},"https://docshare.wps.com/document/","Document",{"item":49,"name":12,"@type":44,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/label-free-surface-enhanced-raman-spectroscopy-coupled-with-machine-learning-algorithms-in-pathogenic-microbial-identification-current-trends-challenges-and-perspectives-review/128611/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-22","2026-08-06",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82,86],{"name":73,"@type":74,"acceptedAnswer":75},"Why are rapid and reliable microbial detection methods important?","Question",{"text":76,"@type":77},"Microbial pathogens cause significant morbidity and mortality, making prompt control and effective prevention essential. Rapid and reliable identification is critical for public health and medical diagnostics.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What advantages does label-free surface-enhanced Raman spectroscopy (SERS) offer?",{"text":81,"@type":77},"SERS provides a non-invasive diagnostic route with rapid results, reliability, and cost-effectiveness. It is promising for detecting pathogenic bacteria, viruses, and fungi in clinical settings.",{"name":83,"@type":74,"acceptedAnswer":84},"How do machine learning algorithms contribute to SERS-based diagnosis?",{"text":85,"@type":77},"Machine learning improves the analysis of SERS spectral data, supporting more effective interpretation of spectral patterns for microbial identification. The review emphasizes the role of these algorithms in SERS spectral analysis.",{"name":87,"@type":74,"acceptedAnswer":88},"What challenges and future directions are discussed for SERS application?",{"text":89,"@type":77},"The review probes practical challenges facing SERS deployment and discusses prospective development paths. These points guide expectations for future progress in pathogenic microbial identification.","https://schema.org",{"og:url":52,"og:type":92,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":94,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":97},[98,102,106,110,115,120,125,128,133,136,140],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":107,"show_sort_weight":108,"slug":109},"Exam",70,"exam",{"id":111,"doc_module":4,"doc_module_name":47,"category_name":112,"show_sort_weight":113,"slug":114},5,"Comic",60,"comic",{"id":116,"doc_module":4,"doc_module_name":47,"category_name":117,"show_sort_weight":118,"slug":119},6,"Technology",50,"technology",{"id":121,"doc_module":4,"doc_module_name":47,"category_name":122,"show_sort_weight":123,"slug":124},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":126,"slug":127},30,"research-report",{"id":129,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":131,"slug":132},9,"Religion & Spirituality",20,"religion-spirituality",{"id":131,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":131,"slug":135},"World Cup","world-cup",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":137,"slug":139},10,"Lifestyle","lifestyle",{"id":141,"doc_module":4,"doc_module_name":47,"category_name":142,"show_sort_weight":111,"slug":143},19,"General","general"]