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Rasool A, Hong J, Hong Z, Li Y, Zou C, Chen H, Qu Q, Wang Y, Jiang Q, Huang X, Dai J. An Effective DNA-Based File Storage System for Practical Archiving and Retrieval of Medical MRI Data. SMALL METHODS 2024:e2301585. [PMID: 38807543 DOI: 10.1002/smtd.202301585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/29/2024] [Indexed: 05/30/2024]
Abstract
DNA-based data storage is a new technology in computational and synthetic biology, that offers a solution for long-term, high-density data archiving. Given the critical importance of medical data in advancing human health, there is a growing interest in developing an effective medical data storage system based on DNA. Data integrity, accuracy, reliability, and efficient retrieval are all significant concerns. Therefore, this study proposes an Effective DNA Storage (EDS) approach for archiving medical MRI data. The EDS approach incorporates three key components (i) a novel fraction strategy to address the critical issue of rotating encoding, which often leads to data loss due to single base error propagation; (ii) a novel rule-based quaternary transcoding method that satisfies bio-constraints and ensure reliable mapping; and (iii) an indexing technique designed to simplify random search and access. The effectiveness of this approach is validated through computer simulations and biological experiments, confirming its practicality. The EDS approach outperforms existing methods, providing superior control over bio-constraints and reducing computational time. The results and code provided in this study open new avenues for practical DNA storage of medical MRI data, offering promising prospects for the future of medical data archiving and retrieval.
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Affiliation(s)
- Abdur Rasool
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jingwei Hong
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- College of Mathematics and Information Science, Hebei University, Baoding, 071002, China
| | - Zhiling Hong
- Quanzhou Development Group Co., Ltd, Quanzhou, 362000, China
| | - Yuanzhen Li
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen, 518055, China
| | - Chao Zou
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Hui Chen
- Shenzhen Polytechnic University, Shenzhen, 518055, China
| | - Qiang Qu
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Yang Wang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Qingshan Jiang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Xiaoluo Huang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen Key Laboratory of Synthetic Genomics, Guangdong Provincial Key Laboratory of Synthetic Genomics, Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen, 518055, China
| | - Junbiao Dai
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518055, China
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2
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Yu M, Tang X, Li Z, Wang W, Wang S, Li M, Yu Q, Xie S, Zuo X, Chen C. High-throughput DNA synthesis for data storage. Chem Soc Rev 2024; 53:4463-4489. [PMID: 38498347 DOI: 10.1039/d3cs00469d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
With the explosion of digital world, the dramatically increasing data volume is expected to reach 175 ZB (1 ZB = 1012 GB) in 2025. Storing such huge global data would consume tons of resources. Fortunately, it has been found that the deoxyribonucleic acid (DNA) molecule is the most compact and durable information storage medium in the world so far. Its high coding density and long-term preservation properties make itself one of the best data storage carriers for the future. High-throughput DNA synthesis is a key technology for "DNA data storage", which encodes binary data stream (0/1) into quaternary long DNA sequences consisting of four bases (A/G/C/T). In this review, the workflow of DNA data storage and the basic methods of artificial DNA synthesis technology are outlined first. Then, the technical characteristics of different synthesis methods and the state-of-the-art of representative commercial companies, with a primary focus on silicon chip microarray-based synthesis and novel enzymatic DNA synthesis are presented. Finally, the recent status of DNA storage and new opportunities for future development in the field of high-throughput, large-scale DNA synthesis technology are summarized.
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Affiliation(s)
- Meng Yu
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Xiaohui Tang
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Zhenhua Li
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Weidong Wang
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Shaopeng Wang
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Min Li
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Qiuliyang Yu
- Shenzhen Key Laboratory for the Intelligent Microbial Manufacturing of Medicines, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
| | - Sijia Xie
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China.
| | - Chang Chen
- Institute of Medical Chips, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
- School of Microelectronics, Shanghai University, 201800, Shanghai, China
- Shanghai Industrial μTechnology Research Institute, 201800, Shanghai, China
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China
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3
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Li S, Tan W, Jia X, Miao Q, Liu Y, Yang D. Recent advances in the synthesis of single-stranded DNA in vitro. Biotechnol J 2024; 19:e2400026. [PMID: 38622795 DOI: 10.1002/biot.202400026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/19/2024] [Accepted: 03/25/2024] [Indexed: 04/17/2024]
Abstract
Single-stranded DNA (ssDNA) is the foundation of modern biology, with wide applications in gene editing, sequencing, DNA information storage, and materials science. However, synthesizing ssDNA with high efficiency, high throughput, and low error rate in vitro remains a major challenge. Various methods have been developed for ssDNA synthesis, and some significant results have been achieved. In this review, six main methods were introduced, including solid-phase oligonucleotide synthesis, terminal deoxynucleotidyl transferase-based ssDNA synthesis, reverse transcription, primer exchange reaction, asymmetric polymerase chain reaction, and rolling circle amplification. The advantages and limitations of each method were compared, as well as illustrate their representative achievements and applications. Especially, rolling circle amplification has received significant attention, including ssDNA synthesis, assembly, and application based on recent work. Finally, the future challenges and opportunities of ssDNA synthesis were summarized and discussed. Envisioning the development of new methods and significant progress will be made in the near future with the efforts of scientists around the world.
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Affiliation(s)
- Shuai Li
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (MOE), School of Chemical Engineering and Technology, Tianjin University, Tianjin, P.R. China
- Zhejiang Institute of Tianjin University, Ningbo, Zhejiang, P.R. China
| | - Wei Tan
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (MOE), School of Chemical Engineering and Technology, Tianjin University, Tianjin, P.R. China
- Zhejiang Institute of Tianjin University, Ningbo, Zhejiang, P.R. China
| | - Xuemei Jia
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (MOE), School of Chemical Engineering and Technology, Tianjin University, Tianjin, P.R. China
- Zhejiang Institute of Tianjin University, Ningbo, Zhejiang, P.R. China
| | - Qing Miao
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (MOE), School of Chemical Engineering and Technology, Tianjin University, Tianjin, P.R. China
- Zhejiang Institute of Tianjin University, Ningbo, Zhejiang, P.R. China
| | - Ying Liu
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (MOE), School of Chemical Engineering and Technology, Tianjin University, Tianjin, P.R. China
- Zhejiang Institute of Tianjin University, Ningbo, Zhejiang, P.R. China
| | - Dayong Yang
- Frontiers Science Center for Synthetic Biology, Key Laboratory of Systems Bioengineering (MOE), School of Chemical Engineering and Technology, Tianjin University, Tianjin, P.R. China
- Zhejiang Institute of Tianjin University, Ningbo, Zhejiang, P.R. China
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4
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Yu S, Lei X, Qu C. MicroRNA Sensors Based on CRISPR/Cas12a Technologies: Evolution From Indirect to Direct Detection. Crit Rev Anal Chem 2024:1-17. [PMID: 38489095 DOI: 10.1080/10408347.2024.2329229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
MicroRNA (miRNA) has emerged as a promising biomarker for disease diagnosis and a potential therapeutic targets for drug development. The detection of miRNA can serve as a noninvasive tool in diseases diagnosis and predicting diseases prognosis. CRISPR/Cas12a system has great potential in nucleic acid detection due to its high sensitivity and specificity, which has been developed to be a versatile tool for nucleic acid-based detection of targets in various fields. However, conversion from RNA to DNA with or without amplification operation is necessary for miRNA detection based on CRISPR/Cas12a system, because dsDNA containing PAM sequence or ssDNA is traditionally considered as the activator of Cas12a. Until recently, direct detection of miRNA by CRISPR/Cas12a system has been reported. In this review, we provide an overview of the evolution of biosensors based on CRISPR/Cas12a for miRNA detection from indirect to direct, which would be beneficial to the development of CRISPR/Cas12a-based sensors with better performance for direct detection of miRNA.
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Affiliation(s)
- Songcheng Yu
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xueying Lei
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chenling Qu
- School of Food and Strategic Reserves, Henan University of Technology, Zhengzhou, China
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5
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Le Huy B, Bui Thi Phuong H, Luong Xuan H. Advantages and disadvantages of RNA therapeutics. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2024; 203:151-164. [PMID: 38359996 DOI: 10.1016/bs.pmbts.2023.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
RNA therapeutics is an innovative and rapidly evolving field at the forefront of medical research and biotechnology. Recently, many studies have shown that diverse RNA types play important roles in cells. Besides the protein translation coding, they also express and regulate a variety of cellular pathways. Indeed, along with the research and studies, many drugs and vaccines were developed from RNAs, including both coding and non-coding RNA. Some cases were approved to be medicines or under clinical trial. After years of use and application, they have shown a bright opportunity to prevent and treat many fatal and rare diseases with many strong points, such as fast production and long-term effects. Besides, they still have some drawbacks that need to be overcome, like stability or delivery to become the new generation of medicine. Therefore, this chapter focuses on providing an overview of the advantages and disadvantages of RNA therapeutics as well as some crucial points for future development.
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Affiliation(s)
- Binh Le Huy
- Center for High Technology Development, Vietnam Academy of Science and Technology (VAST), Hanoi, Vietnam; School of Chemical Engineering-Hanọi University of Science and Technology, Hanoi, Vietnam
| | | | - Huy Luong Xuan
- Faculty of Pharmacy, PHENIKAA University, Hanoi, Vietnam; PHENIKAA Institute for Advanced Study (PIAS), PHENIKAA University, Hanoi, Vietnam.
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6
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Raza MH, Desai S, Aravamudhan S, Zadegan R. An outlook on the current challenges and opportunities in DNA data storage. Biotechnol Adv 2023; 66:108155. [PMID: 37068530 PMCID: PMC11060094 DOI: 10.1016/j.biotechadv.2023.108155] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/23/2023] [Accepted: 04/12/2023] [Indexed: 04/19/2023]
Abstract
Silicon is the gold standard for information storage systems. The exponential generation of digital information will exhaust the global supply of refined silicon. Therefore, investing in alternative information storage materials such as DNA has gained momentum. DNA as a memory material possesses several advantages over silicon-based data storage, including higher storage capacity, data retention, and lower operational energy. Routine DNA data storage approaches encode data into chemically synthesized nucleotide sequences. The scalability of DNA data storage depends on factors such as the cost and the generation of hazardous waste during DNA synthesis, latency of writing and reading, and limited rewriting capacity. Here, we review the current status of DNA data storage encoding, writing, storing, retrieving and reading, and discuss the technology's challenges and opportunities.
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Affiliation(s)
- Muhammad Hassan Raza
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA
| | - Salil Desai
- Department of Industrial & Systems Engineering, North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA
| | - Shyam Aravamudhan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA
| | - Reza Zadegan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA.
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7
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Doricchi A, Platnich CM, Gimpel A, Horn F, Earle M, Lanzavecchia G, Cortajarena AL, Liz-Marzán LM, Liu N, Heckel R, Grass RN, Krahne R, Keyser UF, Garoli D. Emerging Approaches to DNA Data Storage: Challenges and Prospects. ACS NANO 2022; 16:17552-17571. [PMID: 36256971 PMCID: PMC9706676 DOI: 10.1021/acsnano.2c06748] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
With the total amount of worldwide data skyrocketing, the global data storage demand is predicted to grow to 1.75 × 1014 GB by 2025. Traditional storage methods have difficulties keeping pace given that current storage media have a maximum density of 103 GB/mm3. As such, data production will far exceed the capacity of currently available storage methods. The costs of maintaining and transferring data, as well as the limited lifespans and significant data losses associated with current technologies also demand advanced solutions for information storage. Nature offers a powerful alternative through the storage of information that defines living organisms in unique orders of four bases (A, T, C, G) located in molecules called deoxyribonucleic acid (DNA). DNA molecules as information carriers have many advantages over traditional storage media. Their high storage density, potentially low maintenance cost, ease of synthesis, and chemical modification make them an ideal alternative for information storage. To this end, rapid progress has been made over the past decade by exploiting user-defined DNA materials to encode information. In this review, we discuss the most recent advances of DNA-based data storage with a major focus on the challenges that remain in this promising field, including the current intrinsic low speed in data writing and reading and the high cost per byte stored. Alternatively, data storage relying on DNA nanostructures (as opposed to DNA sequence) as well as on other combinations of nanomaterials and biomolecules are proposed with promising technological and economic advantages. In summarizing the advances that have been made and underlining the challenges that remain, we provide a roadmap for the ongoing research in this rapidly growing field, which will enable the development of technological solutions to the global demand for superior storage methodologies.
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Affiliation(s)
- Andrea Doricchi
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
- Dipartimento
di Chimica e Chimica Industriale, Università
di Genova, via Dodecaneso
31, 16146 Genova, Italy
| | - Casey M. Platnich
- Cavendish
Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Andreas Gimpel
- Institute
for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Friederikee Horn
- Technical
University of Munich, Department of Electrical
and Computer Engineering Munchen, Bayern, DE 80333, Germany
| | - Max Earle
- Cavendish
Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - German Lanzavecchia
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
- Dipartimento
di Fisica, Università di Genova, via Dodecaneso 33, 16146 Genova, Italy
| | - Aitziber L. Cortajarena
- Center
for Cooperative Research in Biomaterials (CICbiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014 Donostia-San Sebastián, Spain
- Ikerbasque, Basque
Foundation for Science, 48009 Bilbao, Spain
| | - Luis M. Liz-Marzán
- Center
for Cooperative Research in Biomaterials (CICbiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramón 194, 20014 Donostia-San Sebastián, Spain
- Ikerbasque, Basque
Foundation for Science, 48009 Bilbao, Spain
- Biomedical
Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Av. Monforte de Lemos, 3-5. Pabellón 11.
Planta 0, 28029 Madrid, Spain
| | - Na Liu
- Second
Physics Institute, University of Stuttgart, 70569 Stuttgart, Germany
- Max Planck Institute for Solid State Research, 70569 Stuttgart, Germany
| | - Reinhard Heckel
- Technical
University of Munich, Department of Electrical
and Computer Engineering Munchen, Bayern, DE 80333, Germany
| | - Robert N. Grass
- Institute
for Chemical and Bioengineering, ETH Zurich, Vladimir-Prelog-Weg 1, 8093 Zurich, Switzerland
| | - Roman Krahne
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
| | - Ulrich F. Keyser
- Cavendish
Laboratory, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, U.K.
| | - Denis Garoli
- Istituto
Italiano di Tecnologia, via Morego 30, I-16163 Genova, Italy
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Torres-Huerta AL, Antonio-Pérez A, García-Huante Y, Alcázar-Ramírez NJ, Rueda-Silva JC. Biomolecule-Based Optical Metamaterials: Design and Applications. BIOSENSORS 2022; 12:962. [PMID: 36354471 PMCID: PMC9688573 DOI: 10.3390/bios12110962] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 06/16/2023]
Abstract
Metamaterials are broadly defined as artificial, electromagnetically homogeneous structures that exhibit unusual physical properties that are not present in nature. They possess extraordinary capabilities to bend electromagnetic waves. Their size, shape and composition can be engineered to modify their characteristics, such as iridescence, color shift, absorbance at different wavelengths, etc., and harness them as biosensors. Metamaterial construction from biological sources such as carbohydrates, proteins and nucleic acids represents a low-cost alternative, rendering high quantities and yields. In addition, the malleability of these biomaterials makes it possible to fabricate an endless number of structured materials such as composited nanoparticles, biofilms, nanofibers, quantum dots, and many others, with very specific, invaluable and tremendously useful optical characteristics. The intrinsic characteristics observed in biomaterials make them suitable for biomedical applications. This review addresses the optical characteristics of metamaterials obtained from the major macromolecules found in nature: carbohydrates, proteins and DNA, highlighting their biosensor field use, and pointing out their physical properties and production paths.
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Affiliation(s)
- Ana Laura Torres-Huerta
- Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Campus Estado de México, Av. Lago de Guadalupe KM 3.5, Margarita Maza de Juárez, Cd. López Mateos, Atizapán de Zaragoza 52926, Mexico
| | - Aurora Antonio-Pérez
- Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Campus Estado de México, Av. Lago de Guadalupe KM 3.5, Margarita Maza de Juárez, Cd. López Mateos, Atizapán de Zaragoza 52926, Mexico
| | - Yolanda García-Huante
- Departamento de Ciencias Básicas, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional (UPIITA-IPN), Mexico City 07340, Mexico
| | - Nayelhi Julieta Alcázar-Ramírez
- Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Campus Estado de México, Av. Lago de Guadalupe KM 3.5, Margarita Maza de Juárez, Cd. López Mateos, Atizapán de Zaragoza 52926, Mexico
| | - Juan Carlos Rueda-Silva
- Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Campus Estado de México, Av. Lago de Guadalupe KM 3.5, Margarita Maza de Juárez, Cd. López Mateos, Atizapán de Zaragoza 52926, Mexico
- Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK
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