Royal Society of Chemistry Tokyo International Conference 2023: Data Processing and the Use of Smartphones for Analytical Chemistry 7-8 September, Chiba, Japan
4–5 September, 2019, Makuhari Messe, Chiba RSC- Tokyo International Conference 2019: Versatile Analytical Electrochemistry www.jaima.or.jp/ic/rsc-tic Royal Society of Chemistry Tokyo International Conference 2023: Data Processing and the Use of Smartphones for Analytical Chemistry 7–8 September 2023, Chiba, Japan
Book of Abstracts
Registered charity number: 207890
RSC-TIC International Conference
Data Processing and the Use of
Smartphones for Analytical Chemistry
A Message from the Chief Executive Officer of the Royal Society of Chemistry The Royal Society of Chemistry (RSC) promotes, supports and celebrates chemistry. We work to shape the future of the chemical sciences – for the benefit of science and humanity. This year we are, once again delighted to co-sponsor the Tokyo International Conference 2023, together with the Japanese Analytical Instrument Manufacturers’ Association (JAIMA). Analytical chemistry is becoming increasingly inter-disciplinary and contributes to many diverse scientific fields and industries. This year’s theme “ Data processing and the use of smartphones for analytical chemistry ” reflects this, showcasing how data processing and data- driven approaches can be used to solve every day scientific problems, with trends towards automation and machine learning becoming increasingly popular. Now in its twelfth year, we are proud to bring together leading scientists to further research in this important area. We are also pleased to have the opportunity to recognise talented early career researchers, through the awarding of poster prizes on behalf of our internationally- recognised analytical chemistry journals, including Analyst , Analytical Methods, Lab on a Chip, Sensors & Diagnostics, as well as one of our newest Open Access journals , Digital Discovery. I would like to thank all the speakers and participants for their contributions to this symposium and hope that this event presents an opportunity to share knowledge, spark ideas and create new collaborations. Finally, we are grateful to the JAIMA for their help in organising this event, and we look forward to continuing our close partnership in the future. I wish you all an informative, productive and enjoyable symposium.
Dr Helen Pain CSci CChem FRSC Chief Executive Officer, Royal Society of Chemistry
A Message from the President of JAIMA
Masayuki Adachi, Dr. Eng.
President, Japan Analytical Instruments Manufacturers’ Association (JAIMA)
I would like to express my deepest gratitude for being able to hold the “Royal Society of
Chemistry Tokyo International Conference 2023”. It is a significant honor for JAIMA to
collaborate with the Royal Society of Chemistry (RSC), which is globally recognized as one
of the most highly regarded chemical societies. This is a very important and prestigious
conference for our industry in the field of analysis and measurement technology.
This year’s theme is “Data Processing and the Use of Smartphones for Analytical Chemistry”.
The event consists of lectures on the latest technologies given by world-renowned
researchers, flash presentations and poster sessions by young researchers involved in
analytical chemistry and instrumentation.
I hope that this conference will further promote interactions among researchers in addition to
providing an opportunity to learn about leading research activities. Lastly, I would like to
express my sincere appreciation to all of the researchers and members of the organizing
committee for their cooperation in planning and hosting this conference.
Thank you.
Message from the Organizers of the RSC-Tokyo International Conference 2023
We are very honored that the Royal Society of Chemistry (RSC) and the Japan Analytical Instrument Manufacturers’ Association (JAIMA) are jointly organizing the RSC-Tokyo International Conference (RSC-TIC) 2023. This year already marks the twelfth edition of the conference. Although the COVID-19 pandemic prevented us from meeting face-to-face for the 2020 and 2021 RSC-TIC conference editions, we have been able to maintain the tradition of our yearly event in the form of fully online conferences. In 2022, we were finally able to meet in person again at least partially, while still facing challenges in terms of pandemic-related travel restrictions. We organized a face-to-face and online hybrid event, providing the opportunity for researchers to participate even in cases where travel to Japan was still not possible. We are very happy that the 2023 event finally brings back the RSC-TIC conference as a fully on-site meeting to its original pre-pandemic location at Makuhari Messe, where it is held jointly with this year’s Japan Analytical & Scientific Instruments show known as JASIS. The main theme of RSC-TIC 2023 is “Data Processing and the Use of Smartphones for Analytical Chemistry”. Plenary and invited talks are given by excellent scientists from both abroad and from Japan, including Prof. Aydogan Ozcan, University of California at Los Angeles (USA), Prof. Tsuyoshi Minami, The University of Tokyo (Japan), Prof. Suna Timur, Ege University (Turkey), Prof. Ali Yetisen, Imperial College London (UK), Prof. I-Chi Lee, National Tsing Hua University (Taiwan), Prof. Tae Seok Seo, Kyung Hee University (Korea), Prof. Nadnudda Rodthongkum, Chulalongkorn University (Thailand) and Prof. Ling Lin, Beijing Technology and Business University (China). In addition, short flash presentations are given by the approximately 70 poster presenters, most of them active young researchers. Through active discussion, RSC-TIC 2023 provides a platform for the exchange of useful information among presenters from academia as well as from industry to promote analytical technologies and analytical instrumentation for future analysis. In order to encourage young talented researchers, poster presentation awards will be given by RSC. We sincerely thank RSC and JAIMA to give us this great opportunity to discuss cutting-edge analytical methods, instrumentation, and other related technologies. Through the JASIS and the RSC-TIC, Asia, Australia, Europe, America, and other regions of the world will form closer relationships to develop analytical technologies and analytical instruments.
We are looking forward to your participation.
Dr. Hideaki Hisamoto Organizing Committee Chair Analyst, Associate Editor Professor, Osaka Metropolitan University
Dr. Daniel Citterio Organizing Committee Co-Chair Fellow of the RSC Professor, Keio University
RSC analytical journals Innovative research. Real-world application
Analyst
Analytical Methods
JAAS Journal of Analytical Atomic Spectrometry
rsc.li/publish-with-us Fundamental questions Elemental answers
Registered charity number: 207890
RSC multidisciplinary journals Bringing the future closer
Lab on a Chip Devices and applications at the micro- and nanoscale
Digital Discovery
Sensors & Diagnostics
rsc.li/publish-with-us Fundamental questions Elemental answers
Registered charity number: 207890
Deep Learning-enabled Computational Microscopy and Sensing ................................................ 1
Aydogan Ozcan
University of California , Los Angeles (UCLA)
Paper-based optical chemosensor arrays ....................................................................................... 3
Tsuyoshi Minami The University of Tokyo
Unleashing the Potential of Nanomaterials and Smartphones for the development of Biosensing
Technology and Diagnostics ......................................................................................................... 5
Suna Timur Ege University
Smartphone Technologies for Point-of-Care Diagnostics............................................................. 7
Ali Yetisen Imperial College London
Material based Induction of Neural Stem Cell Spheroid and
the Application of Brain on a Chip ............................................................................................... 8
I-Chi Lee National Tsing Hua University
Publishing with Impact .............................................................................................................. 10
Antony Galea Royal Society of Chemistry
Point-of-care Molecular Diagnostics on Smartphone ................................................................ 11
Tae Seok Seo Kyung Hee University
Wearable sweat glucose sensor designed as a waist strap connected with
a smartphone readout ................................................................................................................. 13
Nadnudda Rodthongkum Chulalongkorn University
Development of Microfluidic Biosensor with Smartphones and its Application in Rapid
Detection of Foodborne Pathogens ............................................................................................. 15
Ling Lin Beijing Technology and Business University
The List of Flash Presentation & Poster Session ........................................................................ 17
A001 ～ A069
The contents of Flash Presentation & Poster Session ................................................................. 26
Closing Remarks ......................................................................................................................... 61
Organizing committee ................................................................................................................ 62
RSC Tokyo International Conference 2023
Deep Learning-enabled Computational Microscopy and Sensing Aydogan OZCAN UCLA, Los Angeles, USA
Biographical Sketch Dr. Aydogan Ozcan is the Chancellor’s Professor and the Volgenau Chair for Engineering Innovation at UCLA and an HHMI Professor with the Howard Hughes Medical Institute. He is also the Associate Director of the California NanoSystems Institute. Dr. Ozcan is elected Fellow of the National Academy of Inventors (NAI) and holds >60 issued/granted patents in microscopy, holography, computational imaging, sensing, mobile diagnostics, nonlinear optics and fiber-optics, and is also the author of one book and the co-author of >1000 peer-reviewed publications in leading scientific journals/conferences. Dr. Ozcan received major awards, including the Presidential Early Career Award for Scientists and Engineers (PECASE), International Commission for Optics ICO Prize, Dennis Gabor Award (SPIE), Joseph Fraunhofer Award & Robert M. Burley Prize (Optica), SPIE Biophotonics Technology Innovator Award, Rahmi Koc Science Medal, SPIE Early Career Achievement Award, Army Young Investigator Award, NSF CAREER Award, NIH Director’s New Innovator Award, Navy Young Investigator Award, IEEE Photonics Society Young Investigator Award and Distinguished Lecturer Award, National Geographic Emerging Explorer Award, National Academy of Engineering The Grainger Foundation Frontiers of Engineering Award and MIT’s TR35 Award for his seminal contributions to computational imaging, sensing and diagnostics. Dr. Ozcan is elected Fellow of Optica, AAAS, SPIE, IEEE, AIMBE, RSC, APS and the Guggenheim Foundation. Abstract We will discuss recently emerging applications of state-of-the-art deep learning methods on optical microscopy, microscopic image reconstruction and sensing, also covering their applications for mobile measurement systems (Fig. 1). Beyond its mainstream uses, such as recognizing and labeling specific image features, deep learning holds numerous opportunities for revolutionizing image formation, image reconstruction and sensing fields. In this presentation, I will provide an overview of some of our recent work [1-10] on the use of deep neural networks in advancing computational microscopy and sensing systems for various biomedical applications. References 1. Y. Rivenson, Z. Gorocs, H. Gunaydin, Y. Zhang, H. Wang, and A. Ozcan, “Deep Learning Microscopy,” Optica DOI: 10.1364/OPTICA.4.001437 (2017). 2. M. Kühnemund, Q. Wei, E. Darai, Y. Wang, I. Hernandez-Neuta, Z. Yang, D. Tseng, A, Ahlford, L. Mathot, T. Sjöblom, A. Ozcan, and M. Nilsson, “Targeted DNA sequencing and in situ mutation analysis using mobile phone microscopy,” Nature Communications DOI: 10.1038/NCOMMS13913 (2017) 3. H. Wang, Y. Rivenson, Y. Jin, Z. Wei, R. Gao, H. Günaydın, L.A. Bentolila, C. Kural, and A. Ozcan, “Deep learning enables cross-modality super-resolution in fluorescence microscopy,” Nature Methods DOI: 10.1038/s41592-018-0239-0 (2018) 4. Y. Wu, Y. Rivenson, H. Wang, Y. Luo, E. Ben-David, L.A. Bentolila, C. Pritz and A. Ozcan, “Three- dimensional virtual refocusing of fluorescence microscopy images using deep learning,” Nature Methods DOI: 10.1038/s41592-019-0622-5 (2019)
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5. H. Joung, Z. Ballard, J. Wu, D. Tseng, H. Teshome, L. Zhang, E. Horn, P. Arnaboldi, R. Dattwyler, O.B. Garner, D. Di Carlo, and A. Ozcan, “Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning,” ACS Nano DOI: 10.1021/acsnano.9b08151 (2019) 6. Z. Ballard, H. Joung, A. Goncharov, J. Liang, K. Nugroho, D. Di Carlo, O. Garner, and A. Ozcan, “Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors,” npj Digital Medicine DOI: 10.1038/s41746-020-0274-y (2020) 7. Y. Rivenson, H. Wang, Z. Wei, K. de Haan, Y. Zhang, Y. Wu, H. Günaydın, J.E. Zuckerman, T. Chong, A.E. Sisk, L. M. Westbrook, W.D. Wallace, and A. Ozcan, “Virtual histological staining of unlabelled tissue- autofluorescence images via deep learning,” Nature Biomedical Engineering DOI: 10.1038/s41551-019- 0362-y (2019) 8. K. de Haan, Y. Zhang, J.E. Zuckerman, T. Liu, A.E. Sisk, M.F.P. Diaz, K. Jen, A. Nobori, S. Liou, S. Zhang, R. Riahi, Y. Rivenson, W.D. Wallace, and A. Ozcan, “Deep learning-based transformation of H&E stained tissues into special stains,” Nature Communications DOI: 10.1038/s41467-021-25221-2 (2021) 9. Z. Ballard, C. Brown, A.M. Madni, and A. Ozcan, “Machine learning and computation enabled intelligent sensor designs,” Nature Machine Intelligence DOI: 10.1038/s42256-021-00360-9 (2021) 10. T. Liu, Y. Li, H.C. Koydemir, Y. Zhang, E. Yang, M. Eryilmaz, H. Wang, J. Li, B. Bai, G. Ma, and A. Ozcan, “Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning,” Nature Biomedical Engineering DOI: 10.1038/s41551-023-01057-7 (2023)
Lensfree Super-resolution Microscope
Multiplexed Point-of-Care Sensing
Holographic Microscope
Lensfree Microscope
DNA Analyzer
Fluorescence Microscope
Deep learning microscopy
Imaging Flow-Cytometer
Optica (2017) OSA OPN (2018)
Figure 1. Computational imaging and sensing systems [1-10].
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Paper-based Optical Chemosensor Arrays
Tsuyoshi MINAMI Institute of Industrial Science, The University of Tokyo
Biographical Sketch Tsuyoshi Minami obtained his Ph.D. from Tokyo Metropolitan University in 2011. During his Ph.D. research, he worked at University of Bath as a collaborative researcher. Between 2011 and 2013, he worked as a Postdoctoral Research Associate at Bowling Green State University and was appointed as a Research Assistant Professor in 2013. In 2014, he proceeded to Yamagata University as an Assistant Professor. Thereafter, he was appointed as a Lecturer at the University of Tokyo in 2016, and Associate Professor since 2019. His research interests are supramolecular analytical chemistry, self-assembled materials, nanoparticles, and organic transistors for bio/chemical sensing applications. Abstract Chemosensors are promising candidates to visualize molecular recognition information through colorimetric or fluorescence responses. The concept of chemosensor arrays is inspired by molecular recognition manners in the mammalian olfactory system, which shows an ideal cross-reactive response for the discrimination of abundant odorant molecules. 1 In the mammalian olfactory system, a small number of receptors can simultaneously detect thousands of odorant molecules owing to their cross-reactivity, achieving recognition of flavors based on pattern recognition. Inspired by the biological sensing system, the author has focused on molecular self-assemblies for the development of chemosensor arrays. 1 The self-assembled chemosensors can offer various optical responses by analyte recognition, resulting in fingerprint-like response patterns for multi-analyte detection. With a methodology based on supramolecular chemistry, the author has successfully fabricated the self-assembled chemosensor arrays with a small number of building blocks to discriminate various analytes toward diagnosis, environmental assessment, and food analysis. As further attempts, the author has proposed printed solid-state chemosensor devices made of paper for on-site analysis. 2 In contrast to conventional chemosensing using spectrophotometers, optical responses on paper-based chemosensor array devices (PCSAD) can be recorded using portable digital recorders, followed by imaging analysis (Figure 1). 2,3 The obtained digital images are subsequently data-processed by pattern recognition techniques, obtaining qualitative and quantitative sensing results.
Figure 1. Illustrated conceptual figure of paper-based chemosensor array devices for pattern recognition.
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As the representative works, the author developed a printed 384-well microtiter PCSAD to simultaneously categorize and discriminate food-related analytes (i.e., saccharides and sulfur-containing amino acids) that play roles as not only essential taste components but also markers to indicate food freshness. 4 The optimized 384-well microtiter PCSAD requiring 1 μL/4 mm 2 of each well can be manufactured using a common office printer, which could accelerate the establishment of easy-to-fabricate chemical sensor devices in real-world scenarios (Figure 2(a)). In addition, off-the-shelf materials were employed as building blocks for fluorescent chemosensors to avoid the synthetic burden. The self-assembled fluorescent chemosensors embedded with the 384-well microtiter PCSAD showed various fluorescence response patterns upon adding analytes, which indicated the cross-reactivity of the self- assembled chemosensors (Figure 2(b)). The paper-based chemosensor array system combined with imaging analysis and pattern recognition techniques not only successfully categorized saccharides and sulfur-containing amino acids but also classified mono- and disaccharide groups (Figure 2(c)). Furthermore, the 384-well microtiter PCSAD performed a regression analysis of fructose (Fru) and glutathione (GSH) in diluted freshly made tomato juice (Figure 2(d)), which revealed high quantitative detectability. Judging from the versatility of the solid- state optical chemosensor array devices, the author believes that the proposed sensor designs for real-sample analysis could maximize the potential of self-assembled optical materials.
Figure 2. (a) Photograph of the manufactured 384-well microtiter PCSAD and schematic illustration of a capturing system for fluorescent images. (b) A digitally expanded fluorescent image of the PCSAD by adding the analytes. (c) Result of the qualitative analysis against 13 analytes. (d) Results of the quantitative analysis against Fru and GSH in a diluted freshly made tomato juice.
References 1. T. Minami et al., “Molecular self - assembled chemosensors and their arrays”, Coord. Chem. Rev., 429 , 213607 (2021). 2. T. Minami et al., “Supramolecular optical sensor arrays for on - site analytical devices”, J. Photochem. Photobiol. C 51 , 100475 (2022). 3. T. Minami et al., “96 -well Microtiter Plate Made of Paper: A Printed Chemosensor Array for Quantitative Detection of Sac charides”, Anal. Chem . 93 , 1179 (2021). 4. T. Minami et al., “Printed 384 -Well Microtiter Plate on Paper for Fluorescent Chemosensor Array in Food Analysis”, Chem. Asian J . 17 , e202200597 (2022).
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Unleashing the Potential of Nanomaterials and Smartphones for the development of Biosensing Technology and Diagnostics
Suna TIMUR Ege University, Science Faculty, Biochemistry Department, 35100- Bornova/IZMIR, TURKIYE
Biographical Sketch
Prof. Suna Timur is a distinguished biochemist and biotechnologist who works at Ege University in Türkiye. She is the director of the Suna Timur Research Group, which focuses on developing novel biosensors, nanomaterials, and drug delivery systems for various applications. She has published more than 250 articles in peer-reviewed journals and has received several prestigious awards and honors for her outstanding contributions to science. Prof. Suna Timur is also an active member of several national and international scientific societies and committees. She is a reviewer and editor for many reputable journals in her field. She is passionate about teaching and mentoring young researchers and students. She is a role model for many aspiring scientists, especially women, who want to pursue a career in biochemistry and biotechnology.
Abstract
The rapid advancement of nanotechnology-based materials has led to groundbreaking developments across various fields, with biosensors emerging as powerful tools for point-of- care diagnostics. These biosensors offer numerous advantages, including exceptional selectivity, sensitivity, rapid results, affordability, and user-friendliness without requiring specialized personnel. Notably, electrochemical and paper-based biosensors have exhibited significant potential in detecting small molecules, such as illicit drugs and viral particles. To further enhance accessibility, the integration of smartphones as readout devices, empowered by specialized applications and color-assisted analysis, has revolutionized biosensor technology. We present our latest research findings on the development of nanoparticle-based biosensors designed to detect a wide range of biomolecules. Our investigations encompass abuse drugs like cocaine, methamphetamine, and synthetic cannabinoids, along with viruses such as Covid-19, and target molecules including pesticides. By harnessing the unique properties of diverse nanoparticles, such as magnetic, gold, silver, and polymeric structures loaded with specific dyes, we have achieved remarkable outcomes, generating reliable signals and vibrant colors that rival traditional sensing methodologies. Capitalizing on the extensive capabilities of smartphones, we have successfully implemented advanced color and electrical signal analysis through both existing and tailor-made applications. Furthermore, our exploration extends to the realm of proof-of-concept prototypes, including the development of wearable watches for the detection of illicit drugs. These innovative devices exemplify the transformative potential of nanotechnology and biosensor integration, offering a portable and discreet solution for real-time monitoring and detection. By highlighting the pivotal role of nanomaterials in biomedical applications, this presentation underscores the tremendous opportunities for advancing personalized diagnostics and therapies. The marriage of nanotechnology and smartphones holds immense promise in reshaping the boundaries of
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modern healthcare, providing individuals with access to rapid, accurate, and personalized diagnostic tools. By capitalizing on these technological advancements, we can catalyze a paradigm shift in healthcare delivery, paving the way for improved patient outcomes and enhanced well-being.
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Smartphone Technologies for Point-of-Care Diagnostics
Portrait photo
Ali K. YETISEN Department of Chemical Engineering, South Kensington, Imperial College London, London, UK
Biographical Sketch
Dr Yetisen is a Senior Lecturer and Associate Professor in the Department of Chemical Engineering at Imperial College London. He holds a PhD degree in Chemical Engineering (Biotechnology) from the University of Cambridge. He has worked as a Tosteson Fellow at Harvard University and Massachusetts General Hospital. Dr Yetisen has been awarded several international prizes including IChemE Nicklin Medal, Birmingham Fellowship, and Alexander von Humboldt Fellowship. He is a Fellow of the Royal Society of Chemistry, Institute of Physics, Institution of Chemical Engineers, and Institution of Engineering and Technology. Dr Yetisen has been the driving force for the establishment of eight startup companies.
Abstract
Smartphones are ubiquitous digital devices utilized in telecommunication technologies. 1 In addition to their advancing computing capabilities, they offer 5G connectivity to transmit real-time data. Their sensing capabilities including CMOS, LiDAR, accelerometer, gyroscope, magnetometer, and microphone have been exploited for healthcare applications to reveal diagnostic data. Particularly, imaging methods have been adapted for spectroscopy applications in the quantification of in vitro diagnostic assays at point-of-care settings. 2-4 In this talk, recent advances in the development of smartphone-based readout systems for point-of-care
Figure(s)
Figure 1. A smartphone camera allows for analyzing the fluorescent images from an optical readout box.
diagnostic technologies will be presented. Furthermore, the commercialization of smartphone- based readers will be highlighted, and startup companies will be showcased. The longevity of the connected diagnostic readers will be elucidated in combination with wearables, body area networks and emerging AI platforms that aim to enhance, enrich and accelerate data analysis. Future directions of next-generation diagnostic readout systems will be highlighted.
References
1. B. Ozdalgic, A.K. Yetisen, S. Tasoglu, Smartphone and Wearable Diagnostics, Expert Rev. Mol. Diagn. , 23, 357-359 (2023). 2. Y. Shi, Y. Zhang, Y. Hu, N. Jiang, R. Moreddu, M.F. Cordeiro, A.K. Yetisen, Smartphone-Based Portable Fluorescent Platforms for Tear Lactoferrin Sensing, Sens. Actuators B: Chem ., 378, 133128 (2023) 3. S. Balbach, R. Moreddu, N. Jiang, X. Dong, W. Kurz, C. Wang, J. Dong, Y. Yin, H. Butt, M. Brischwein, O. Hayden, M. Jakobi, S. Tasoglu, A.W. Koch, A.K. Yetisen, Smartphone-Based Colorimetric Detection System for Portable Health Tracking, Anal. Methods , 13, 4361 (2021) 4. A.K. Yetisen, J.L. Martinez-Hurtado, F.C. Vasconcellos, M.C.E. Simsekler, M.S. Akram, Lowe C.R., The Regulation of Mobile Medical Applications, Lab Chip , 14, 833-840 (2014)
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Material based Induction of Neural Stem Cell Spheroid and the Application of Brain on a Chip
I-Chi Lee Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, 300044, Taiwan
Biographical Sketch
Professor Lee currently holds the position of Associate professor at the Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University. Dr. I Chi Lee received her Ph.D. from the Department of Biomedical Engineering, National Taiwan University in 2007. She then worked as a postdoctoral research fellow at the genomics research center, Academia Sinica in Taiwan, and, subsequently, served as Assistant Professor, Associate Professor, and Professor at the Graduate Institute of Biomedical Engineering, Chang Gung University. Her research focuses on biomaterials, tissue engineering, drug delivery, and organ on chip. She has published over 50 peer-reviewed articles and one book (ISBN: 978-1-63485-878-6) and has received several important research awards in Taiwan, including Ta-You Wu Memorial award in 2018. Recently, her efforts have been directed towards translating knowledge on fabricating organ-on-chip and in vitro models using 3D bioprinting. The development of these in vitro models holds great potential for advancing precision medicine, personalized medicine, and reducing reliance on animal experimentation.
Abstract
The regulation of neural
stem/progenitor
cell the
(NSPC) guidance
niches,
of
neurite
outgrowth, the establishment of neural networks, along with the induction of functional neurons, are pivotal components in the progression of neural and
engineering. Moreover, stem cell-based in vitro models hold potential for therapeutic strategies and drug screening for neurodegenerative disorders, such as Alzheimer's disease (AD). In this study, a novel approach was employed to fabricate a niche-modulated system using polypeptide multilayer films, enabling investigation into the effects of surface properties on NSPC differentiation. Additionally, a biomimetic system consisting of supported lipid bilayers (SLBs) with adsorbed sequential multilayer films was developed to closely mimic the natural environment, resembling synaptic membranes. Furthermore, a biochip based on NSPC spheroids, which exhibited a 3D brain-like structure, well-defined neural differentiation, and neural network formation, was created. This brain-on-a-chip model, specifically tailored towards AD research, was constructed using microelectrode arrays with a multichannel platform, allowing real-time monitoring of neural network formation and degeneration through impedance analysis. The AD-on-a-chip model offers enhanced insights into neurological pathology, and its development provides an alternative approach for studying drug discovery and cell-protein interactions within the brain.
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References 1.
Nien-Che Liu, Chu-Chun Liang, Yi-Chen Ethan Li and I-Chi Lee*. “ A Real-Time Sensing System for Monitoring Neural Network Degeneration in an Alzheimer’s Disease -on-a-Chip Model ”, Pharmaceutics , 14(5) , 1022 (2022) 2. Yung-Chiang Liu, I-Chi Lee*, and Kin-Fong Lei. “ Towards the Development of an Artificial Brain on a Micropatterned and Material-regulated Biochip by Guiding and Promoting the Differentiation and Neurite Outgrowth of Neural Stem/Progenitor Cells ” , AC S applied materials and interfaces., 10(6) , 5269- 5277(2018)
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Presentation Title: How to Publish with Impact
Antony Galea, Country Manager Royal Society of Chemistry
Biographical Sketch
Antony Galea, MSc, was appointed Country Manager, Japan of the Royal Society of Chemistry (RSC) in 2021. A position in which he is responsible for increasing engagement with the Japanese and South Korean research communities to advance the chemical sciences and disseminate chemical knowledge. Prior to joining the RSC, he held the positions of researcher and subsequently in technology commercialisation at Okinawa Institute of Science and Technology (OIST). Prior to that he held several positions as application engineer at photonics startups in Japan and in the UK. He holds an MSc in Photonics & Optoelectronic Devices from the University of St Andrews, Scotland.
Abstract
The Royal Society of Chemistry promotes, supports and celebrates chemistry. We work to shape the future of the chemical sciences – for the benefit of science and humanity.
We are a non-profit organisation and internationally renowned publisher of high-quality chemical science knowledge. Our expanding portfolio of journals, books and databases feature research by internationally acclaimed authors. Around the world, we invest in educating future generations of scientists. We raise and maintain standards. We partner with industry and academia, promoting collaboration and innovation. We advise governments on policy. And we are committed to promoting, supporting and celebrating diversity – championing every one of the talented groups and individuals who are securing chemistry’s future. This presentation will give an overview of scientific publishing, covering all the information you need to publish your research in high impact journals. As well as providing an introduction to the Royal Society of Chemistry.
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Point-of-care Molecular Diagnostics on Smartphone
Tae Seok SEO Department of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, South Korea
Biographical Sketch
Tae Seok Seo is a professor of Department of Chemical Engineering, Kyung Hee University, South Korea. He received his BS, MS, and PhD degree from Seoul National Univ. (South Korea), KAIST (South Korea), Columbia University (USA) and finished his post-doctoral fellowship at UC Berkeley. His current research interests are centered on microfluidic-based lab-on-a-chip, integrated biosensors, genomic technology, on-chip nanomaterial synthesis, and nanobiotechnology. He holds 133 papers, 50 patents, 8 technology transfers, and 17 awards.
Abstract
During the COVID-19 pandemic, smartphone-based point-of-care genetic testing (POCT) devices played a crucial role in detecting the virus quickly and on-site, aiding in the prevention and control of the pandemic. Smartphone, the most popular electronic device with various functions such as the operating system, power, camera, and data storage, exhibits the high potentials for the applications in a molecular diagnostic platform for ubiquitous healthcare monitoring. In this talk, I will present some examples of smartphone-based POC genetic testing devices developed in our laboratory over the past three years. Handheld μCE device on a smartphone: Micro-capillary electrophoresis ( μ CE) devices have been extensively investigated for end-point genetic analysis with high resolution in the fields of genetic sequencing and mutation determination. We have developed a handheld μCE device that could be operated by a smartphone. 1 The smartphone managed the relay for the power switch in addition to supplying power to two boost converters and an excited laser. The CMOS camera of the smartphone was used to detect the fluorescence signal of RT-PCR amplicons. A web-based app was also developed to display typical capillary electropherograms on the smartphone. In the proposed smartphone- associated μCE system, we could accurately analyze two genes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), namely N gene and S gene, along with two bracket ladders in 6 min. Quantitative analysis of a colorimetric LAMP reaction on a smartphone: Our group further established a novel mobile app to utilize the computing ability of the smartphone for color measurement, data analysis, and data storage. 2 During the LAMP reaction, the Eriochrome Black T (EBT) caused the color change of the reaction mixture from violet to blue, which was real-time captured by the smartphone camera. The hue value was used as an indicator for color transition and for determining the threshold time of the amplification reaction. A calibration curve could be generated by plotting the logarithm of the known concentration of the DNA templates versus the threshold time, and it can be used to predict the copy number of nucleic acids in the test samples. An integrated smartphone-based mini-genetic analyzer: An integrated smartphone- based portable mini-genetic analyzer was constructed for the detection of foodborne pathogens based on colorimetric loop-mediated isothermal amplification (LAMP). 3 The power of the smartphone was utilized for the LAMP reaction, and the camera functioned to image the
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colorimetric change in the reaction chambers. A 3D printed house was designed to contain a macro lens, white LEDs for illumination, a disposable microfluidic chip for LAMP, a thin-film heater, and a boost converter circuit. The quantitative LAMP profiles were obtained by plotting the ratio of green/red intensity versus the reaction time. We could identify E. coli O157:H7 with a limit of detection of 10 1 copies/μL within 60 mi n Function of the speech recognition of the smartphone to automatically operate a portable microfluidic system: We proposed a portable sample pretreatment microsystem, which can be automatically operated through speech recognition in a smartphone app. The proposed sample pretreatment microsystem consists of a microfluidic chip, an air router, pressure and vacuum lines with air pump motors, six 3-way solenoid valves, and a microcontroller with a Bluetooth module. The command of a human voice conducted the whole process of DNA extraction from pathogenic bacterial samples. Thus, manual interference during the DNA extraction is eliminated, preventing any potential infection from human touch. The palm-sized sample pretreatment microsystem can be run by a portable battery or a conventional smartphone charger. Genomic DNA ofSalmonella typhimuriumwas purified on a chip in less than 1 min with an extraction efficiency of 70 ± 5%.
Figure 1. (A) Handheld-type total integrated capillary electrophoresis system for SARS-CoV-2 diagnostics. (B) Quantification of colorimetric isothermal amplification on the smartphone and its open-source app for point-of-care pathogen detection. (C) An Integrated Smartphone-Based Genetic Analyzer for Qualitative and Quantitative Pathogen Detection. (D) Function of the speech recognition of the smartphone to automatically operate a portable sample pretreatment microfluidic system
References
1. V. D. Nguyen, H. Q. Nguyen, K. H. Bui, Y. S. Ko, B. J. Park, T. S. Seo , “ A handheld-type total integrated capillary electrophoresis system for SARS-CoV-2 diagnostics: Power, fluorescence detection, and data analysis by smartphone ”, Biosens. Bioelectron. , 195 , 113632 (2022). 2. H. Q. Nguyen, V. D. Nguyen, H. V. Nguyen, T. S. Seo, “Quantifcation of colorimetric isothermal amplifcation on the smartphone and its open-source app for point-of-care pathogen detection ”, Sci. Rep., 10 , 15123 (2020). 3. H. V. Nguyen, V. D. Nguyen, F . Liu, T. S. Seo, “An integrated smartphone-based genetic analyzer for qualitative and quantitative pathogen detection ”, ACS Omega, 5 , 22208 (2020) 4. H. K. Bui, V. M. Phan, H. Q. Nguyen, V. D. Nguyen, H. V. Nguyen, T. S. Seo, “ Function of the speech recognition of the smartphone to automatically operate a portable sample pretreatment microfluidic system ”, ACS Sens.s, 8 , 515 (2023)
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Wearable sweat glucose sensor designed as a waist strap connected with a smartphone readout
Nadtinan Promphet a , Chusak Thanawattano b , Thidarut Laochai a , Panlop Lormaneenopparat a , Pranee Rattanawaleedirojn a,c , Pranut Potiyaraj a,c , Nadnudda Rodthongkum a,c * a Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand b National Science and Technology Development Agency, Pathumthani 12120, Thailand c Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok, 10330, Thailand
Biographical Sketch
Nadnudda Rodthongkum, Ph.D. ( h -index: 29, Citations: 2,752) is a research professor and deputy director at Metallurgy and Materials Science Research Institute, Chulalongkorn University. She obtained her Ph.D. in chemistry from University of Massachusetts, Amherst, USA. Also, she worked at Abbott Bioresearch Center, Wocester, MA, USA for 1 year in bioanalytical research group. Her current research focus is design and synthesis of new materials for enhanced analytical performances of chemical sensor and laser desorption ionization mass spectrometric (LDI-MS) detection.
Abstract
Diabetes is a chronic, non-communicable disease affecting people of all ages leading to increased mortality rate worldwide and glucose is a key biomarker for both type 1 and type 2 diabetes 1 . Nowadays, glucose level is
commonly measured by blood drawing requiring a painful sample collection. Alternatively, glucose can be detected in other biofluids such as tears, saliva and sweat 2 . Herein, the wearable electrochemical sensor based on a flexible electrode for real-time detection of sweat glucose is fabricated. The flexible working electrode surface is chemically modified by nanomaterial and glucose oxidase to enhance the overall sensor performances and specificity towards sweat
Figure 1. Illustration of waist strap connected with smart phone readout for sweat glucose sensor.
glucose detection. The modified electrode surfaces are systematically characterized by scanning electron microscopy (SEM), atomic force microscopy (AFM) and fourier transform raman spectroscopy (FTIR). Amperometry is carried out on hydrogen peroxide (H 2 O 2 ) detection for electrochemical characterization of the modified electrodes. A waist strap circuit and a smartphone readout of this sensor are customized designed to be directly connected with a bluetooth for real-time measurement of sweat glucose excreted from the wearer sweat on the
RSC Tokyo International Conference, Makuhari Messe, Chiba, Japan, September 7-8, 2023.
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waist area. This sensor provides a satisfactory linear range, detection limit and stability for sweat glucose and it can effectively determine a cut-off glucose level, which can effectively distinguish between a normal individual and the one with a diabetic condition. This platform opens a new avenue for smart phone based electrochemical sensor for real-time detection of other sweat biomarkers in the future.
References
1. World Health Organization, “ Classification of diabetes mellitus ” World Health Organization , 36 (2019). 2. Promphet, N.; Ummartyotin, S.; Ngeontae, W.; Puthongkham, P.; Rodthongkum, N. “ Non-invasive wearable chemical sensors in real-life applications ” . Anal Chim Acta ., 1179, 338643 (2021).
RSC Tokyo International Conference, Makuhari Messe, Chiba, Japan, September 7-8, 2023.
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Development of Microfluidic Biosensor with Smartphones and its Application in Rapid Detection of Foodborne Pathogens Ling LIN, Gaowa XING, Yuting SHANG, Xiaorui WANG Department of Bioengineering, Beijing Technology and Business University, CHINA
Portrait photo
Biographical Sketch
Professor Ling Lin received her Ph.D. degree at The University of Tokyo in 2016, working on nano/microfluidics for living single-cell analysis. She joined the National Center for Nanoscience and Technology as an assistant professor in 2016 and got promoted to associate professor in 2020. Since 2021 she has been a professor at the Department of Bioengineering, Beijing Technology and Business University, and She was selected for Beijing Nova Program, in China in 2022. Her current research interest is the development of liquid crystal biosensors for the detection of ultra-micro components in the process of living single cells, integrated microfluidic chips for the analysis of cell drug metabolism, and rapid detection of pathogenic bacteria.
Abstract
Foodborne pathogens have raised significant concerns in human public health. Every year, millions of people in the world are infected by food and water contaminated by pathogenic bacteria, resulting in various diseases that endanger human health. The traditional culture- based detection method usually takes 2-3 days or more. The detection methods based on molecular biology and immunology reduce the detection time compared with the traditional method but still have problems such as complex operation, dependence on professional laboratories and technicians, high detection cost, and low detection flux. Therefore, rapid, high- sensitive, low-cost, and easy-to-use testing methods for food safety are needed. Microfluidic technology with flexible operation, high throughput detection, low reagent consumption, and easy integration with miniaturized instruments has been applied in many fields [1-3] . Based on the principles of immunology and nucleic acid amplification and detection, this dissertation aims to develop microfluidic biosensors for rapid, high-throughput, and highly sensitive detection of foodborne pathogens. The microfluidic biosensors integrated microfluidic, optical, magnetic separation, nano-material fluorescence quenching, and nano-enzyme catalytic amplification technologies, and combined with smartphones. This reports mainly includes the following innovative works: Multiplexed detection of foodborne pathogens using one-pot CRISPR/Cas12a combined with recombinase-aided amplification on a finger-actuated microfluidic biosensor (Figure 1) [4] . The finger-actuated microfluidic chip and a smartphone were used to develop a finger- actuated microfluidic biosensor to realize a one-pot RAA-CRISPR/Cas12a assay for seven common foodborne pathogens detection, including Escherichia coli O157: H7 Staphylococcus aureus , Bacillus cereus , Pseudomonas aeruginosa , Cronobacter sakazakii , Listeria monocytogenes , Vibrio parahaemolyticus and Salmonella .
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Figure 1. Illustration of the multiplexed detection of foodborne pathogens based on one-pot RAA- CRISPR/Cas12a assay on finger-actuated microfluidic biosensor (FA-MB)
Microfluidic biosensor based on enzyme-modified MOF as multiple-enzyme mimetic nanoreactors for sensitive detection of Escherichia coli O157: H7 (Figure 2). Pt-PCN-224 as a nano enzyme material with three mimic enzyme activities of oxidase, peroxidase, and catalase was easily to be covalently modified with antibodies of target bacteria. The triple mimic enzyme activities were applied for synergetic catalytic signal amplification and combined with a smartphone to develop a microfluidic biosensor for Escherichia coli O157: H7 detection.
Figure 2. Illustration of microfluidic biosensing of foodborne bacteria based on Pt-PCN-224 with POD catalytic signal amplification.
References
1. Q. Zhang, S. Feng, L. Lin*, S. Mao, J-M. Lin*, Emerging open microfluidics for cell manipulation, Chem. Soc. Rev., 50, 5333- 5348 (2021). 2. W. Li, M. Khan, L. Lin*, Q. Zhang, S. Feng, Z. Wu, J-M. Lin*, Monitoring H2O2 on the Surface of Single Cells with Liquid Crystal, Angew. Chem. Int. Ed., 59, 9282-9287 (2020) 3. Z. Wu, Y. Zheng, L. Lin*, S. Feng, Z. Li, J-M. Lin*, Controllable Synthesis of Multicompartmental Particles Using 3D Microfluidics, Angew. Chem. Int. Ed., 59, 2225-2229 (2020) 4. G. Xing, Y. Shang, X. Wang, H. Lin, S. Chen, Q. Pu, L. Lin*, Multiplexed detection of foodborne pathogens using one-pot CRISPR/Cas12a combined with recombinase aided amplification on a finger-actuated microfluidic biosensor, Biosens Bioelectron, 220, 114885 (2023).
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Flash Presentations & Poster Sessions RSC Tokyo International Conference, International Conference Room, Makuhari Messe, Chiba, Japan, September 7-8, 2023.
Flash Presentation Session 1 and Poster Session 1 (September 7 , AM)
A001 Printed 384-Well Microtiter Plate on Paper for Unrefined Japanese Rice Wine (Moromi) Sensing, Xiaojun Lyu, Kiyosumi Okabe, Wei Tang, Tsuyoshi Minami * (Institute of Industrial Science, The University of Tokyo)
A002 Paper-based Device for Point-of-care Nucleic Acid Quantification Using CRISPR/Cas System and Personal Glucose Meter, Yohei Tanifuji 1 , Guodong Tong 1 , Yuki Hiruta 1 , Daniel Citterio 1 ( 1 Department of Applied
Chemistry, Keio University)
A003 Application of Organic Carbon Analyzer for Biodegradability Test of Chemical Products According to
OECD 301A, Jantana Panpran 1 , Nidtayaporn Sompakdee 1 , Mirantee Deecharern 1 , Sirorat Tungsatitporn 1 , Chanchai Kahapana 1 , Noppawan Sasangta 1 , and Anchana Pattanasupong 1 ( 1 Material Biodegradation testing Laboratory
(MBT), Material Properties Analysis and Development Centre (MPAD), Thailand Institute of Scientific and
Technological Research (TISTR))
A004 Touch-Based Potentiometric Sensor for Noninvasive Monitoring of Urea and Ammonium from Fingertip Sweat ， Thidarut Laochai 1,2 , Chochanon Moonla 2 , Jong-Min Moon 2 , Kittiya Sakdaphetsiri 2 , Lu Yin 2 , Letícia Francine Mendes 2 , Amal Abbas 2 , Omeed Djassemi 2 , Sumeyye Seker 2 , Kuldeep Mahato 2 , Orawon Chailapakul 1,4 , Joseph Wang 2* , Nadnudda Rodthongkum 3,5 * ( 1 Department of Chemistry, Faculty of Science, Chulalongkorn University, 2 Department of Nanoengineering, University of California San Diego, 3 Metallurgy and Materials Science Research Institute, Chulalongkorn University, 4 Electrochemistry and Optical Spectroscopy Center of Excellence (EOSCE), Chulalongkorn University, 5 Center of Excellence in Responsive Wearable Materials,
Chulalongkorn University)
A005 Microgap Channels Formed on Microcone Array for Immunoaffinity-based Capture and Detection of Circulating Tumor Cells, Yuhei Saito 1 , Natsumi Shimmyo 1 , Rie Utoh 1 , Shuhei Aoyama 2 , Minoru seki 1 , Masumi Yamada 1 ( 1 Graduate School of Science and Engineering, Chiba University, 2 Denka Co. Ltd.)
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