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Kumar S, Senapati S, Chang HC. Extracellular vesicle and lipoprotein diagnostics (ExoLP-Dx) with membrane sensor: A robust microfluidic platform to overcome heterogeneity. BIOMICROFLUIDICS 2024; 18:041301. [PMID: 39056024 PMCID: PMC11272220 DOI: 10.1063/5.0218986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 07/04/2024] [Indexed: 07/28/2024]
Abstract
The physiological origins and functions of extracellular vesicles (EVs) and lipoproteins (LPs) propel advancements in precision medicine by offering non-invasive diagnostic and therapeutic prospects for cancers, cardiovascular, and neurodegenerative diseases. However, EV/LP diagnostics (ExoLP-Dx) face considerable challenges. Their intrinsic heterogeneity, spanning biogenesis pathways, surface protein composition, and concentration metrics complicate traditional diagnostic approaches. Commonly used methods such as nanoparticle tracking analysis, enzyme-linked immunosorbent assay, and nuclear magnetic resonance do not provide any information about their proteomic subfractions, including active proteins/enzymes involved in essential pathways/functions. Size constraints limit the efficacy of flow cytometry for small EVs and LPs, while ultracentrifugation isolation is hampered by co-elution with non-target entities. In this perspective, we propose a charge-based electrokinetic membrane sensor, with silica nanoparticle reporters providing salient features, that can overcome the interference, long incubation time, sensitivity, and normalization issues of ExoLP-Dx from raw plasma without needing sample pretreatment/isolation. A universal EV/LP standard curve is obtained despite their heterogeneities.
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Affiliation(s)
- Sonu Kumar
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - Satyajyoti Senapati
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - Hsueh-Chia Chang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
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Phuong NTT, Phung VD, Le TBN, Chi T, Hien BTT, Tho LH, Mai NXD, Phan TB, Tran NHT, Ju H. Ultrasensitive Monitoring of Cyanide Concentrations in Water Using a Au core-Ag shell Hybrid-Coating-Based Fiber Optical Sensor. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2023; 39:15799-15807. [PMID: 37883714 DOI: 10.1021/acs.langmuir.3c02499] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Cyanides, which are extremely toxic chemicals that are rapidly absorbed into the human body and interact with cytochrome oxidase, strongly inhibit cellular respiration to body death with convulsions. Cyanide ions that exist in many forms in nature such as those found in apricot kernels, cassava roots, and bamboo shoots as cyanogenic glycosides are inevitably used in various industries, including gold and silver mining as well as in dyes and plastic industries. In this study, for the sake of developing ultrahigh-sensitive sensors for cyanide monitoring in a simple manner, we chemically synthesize Aucore-Agshell hybrid nanomaterials of different core/shell thicknesses for colorimetric sensors and fiber optical sensors. Their sensing principle relies on the formation of the Ag/Au cyanocomplex upon cyanide injection. The generated metal cyanocomplex induced changes in refractive indices, causing changes in properties of localized surface plasmon resonance (LSPR), i.e., optical absorbance change for the colorimetric sensors. For fiber optical sensors, the hybrid metal nanoparticles were immobilized on the fiber core surface and the metal cyanocomplex formation induced changes in the fiber cladding refractive index, enabling quantitative cyanide detection with ultrahigh sensitivity. The LSPR-based colorimetric sensor provided the lowest detectable cyanide concentration of 5 × 10-6 M, whereas the value for the fiber-based sensor was 8 × 10-11 M.
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Affiliation(s)
- Nguyen Tran Truc Phuong
- Faculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam
- Vietnam National University, Ho Chi Minh City 70000, Vietnam
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
| | - Viet-Duc Phung
- Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh City 700000, Vietnam
- Faculty of Environmental and Chemical Engineering, Duy Tan University, Da Nang City550000, Vietnam
| | - Thu Bao Nguyen Le
- Vietnam National University, Ho Chi Minh City 70000, Vietnam
- Faculty of Applied Science, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City 70000, Vietnam
| | - Tran Chi
- Institute of Materials Science, Vietnam Academy of Science and Technology, Hanoi 0084, Vietnam
| | - Bui Thi Thu Hien
- Institute of Materials Science, Vietnam Academy of Science and Technology, Hanoi 0084, Vietnam
| | - Le Hong Tho
- Faculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam
- Vietnam National University, Ho Chi Minh City 70000, Vietnam
- Center for Innovative Materials and Architectures (INOMAR), Ho Chi Minh City 70000, Vietnam
| | - Ngoc Xuan Dat Mai
- Vietnam National University, Ho Chi Minh City 70000, Vietnam
- Center for Innovative Materials and Architectures (INOMAR), Ho Chi Minh City 70000, Vietnam
| | - Thang Bach Phan
- Vietnam National University, Ho Chi Minh City 70000, Vietnam
- Center for Innovative Materials and Architectures (INOMAR), Ho Chi Minh City 70000, Vietnam
| | - Nhu Hoa Thi Tran
- Faculty of Materials Science and Technology, University of Science, Ho Chi Minh City 70000, Vietnam
- Vietnam National University, Ho Chi Minh City 70000, Vietnam
| | - Heongkyu Ju
- Department of Physics, Gachon University, Seongnam-si 13120, Republic of Korea
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Rajamanikandan R, Sasikumar K, Kosame S, Ju H. Optical Sensing of Toxic Cyanide Anions Using Noble Metal Nanomaterials. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:nano13020290. [PMID: 36678042 PMCID: PMC9863761 DOI: 10.3390/nano13020290] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/05/2023] [Accepted: 01/05/2023] [Indexed: 06/12/2023]
Abstract
Water toxicity, one of the major concerns for ecosystems and the health of humanity, is usually attributed to inorganic anions-induced contamination. Particularly, cyanide ions are considered one of the most harmful elements required to be monitored in water. The need for cyanide sensing and monitoring has tempted the development of sensing technologies without highly sophisticated instruments or highly skilled operations for the objective of in-situ monitoring. Recent decades have witnessed the growth of noble metal nanomaterials-based sensors for detecting cyanide ions quantitatively as nanoscience and nanotechnologies advance to allow nanoscale-inherent physicochemical properties to be exploited for sensing performance. Particularly, noble metal nanostructure e-based optical sensors have permitted cyanide ions of nanomolar levels, or even lower, to be detectable. This capability lends itself to analytical application in the quantitative detection of harmful elements in environmental water samples. This review covers the noble metal nanomaterials-based sensors for cyanide ions detection developed in a variety of approaches, such as those based on colorimetry, fluorescence, Rayleigh scattering (RS), and surface-enhanced Raman scattering (SERS). Additionally, major challenges associated with these nano-platforms are also addressed, while future perspectives are given with directions towards resolving these issues.
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