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Tsunoda M, Tsuda T. Quantification of amino acids in small volumes of palm sweat samples. Heliyon 2024; 10:e36286. [PMID: 39263123 PMCID: PMC11387235 DOI: 10.1016/j.heliyon.2024.e36286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Revised: 08/12/2024] [Accepted: 08/13/2024] [Indexed: 09/13/2024] Open
Abstract
This study investigates the significance of quantifying amino acids in minute sweat volumes using high-performance liquid chromatography with fluorescence detection. Sweat, a valuable biofluid for non-invasive health monitoring, provides real-time insights into physiological changes. Amino acids, which are critical for various physiological processes, are key to protein synthesis and cellular regulation. Therefore, analyzing sweat's amino acid profiles can offer insights into metabolic states, exercise-induced stress, and potential biomarkers for health conditions. For sensitive analysis, amino acids were derivatized with 4-fluoro-7-nitro-2,1,3-benzoxadiazole (NBD-F), followed by liquid chromatographic separation on an octadecylsilyl column and fluorescence detection. The developed method was validated and applied to human sweat samples, enabling the quantification of 14 amino acids. The most abundant amino acids in the samples were serine, glycine, and alanine, which aligns with prior studies. This method offers a non-invasive and efficient way to screen for diseases by detecting amino acids in sweat, even with minimal sweat volumes. The approach could also be used to analyze other biomolecules in sweat, expanding its potential applications.
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Affiliation(s)
- Makoto Tsunoda
- Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, Japan
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Zhong B, Qin X, Xu H, Liu L, Li L, Li Z, Cao L, Lou Z, Jackman JA, Cho NJ, Wang L. Interindividual- and blood-correlated sweat phenylalanine multimodal analytical biochips for tracking exercise metabolism. Nat Commun 2024; 15:624. [PMID: 38245507 PMCID: PMC10799919 DOI: 10.1038/s41467-024-44751-z] [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: 10/18/2023] [Accepted: 01/03/2024] [Indexed: 01/22/2024] Open
Abstract
In situ monitoring of endogenous amino acid loss through sweat can provide physiological insights into health and metabolism. However, existing amino acid biosensors are unable to quantitatively assess metabolic status during exercise and are rarely used to establish blood-sweat correlations because they only detect a single concentration indicator and disregard sweat rate. Here, we present a wearable multimodal biochip integrated with advanced electrochemical electrodes and multipurpose microfluidic channels that enables simultaneous quantification of multiple sweat indicators, including phenylalanine and chloride, as well as sweat rate. This combined measurement approach reveals a negative correlation between sweat phenylalanine levels and sweat rates among individuals, which further enables identification of individuals at high metabolic risk. By tracking phenylalanine fluctuations induced by protein intake during exercise and normalizing the concentration indicator by sweat rates to reduce interindividual variability, we demonstrate a reliable method to correlate and analyze sweat-blood phenylalanine levels for personal health monitoring.
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Affiliation(s)
- Bowen Zhong
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaokun Qin
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hao Xu
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lingchen Liu
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Linlin Li
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhexin Li
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Limin Cao
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Zheng Lou
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Joshua A Jackman
- School of Chemical Engineering and Translational Nanobioscience Research Center, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Nam-Joon Cho
- School of Materials Science and Engineering, Nanyang Technological University, 637553, Singapore, Singapore
| | - Lili Wang
- State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
- Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Yang L, Wang H, Abdullah AM, Meng C, Chen X, Feng A, Cheng H. Direct Laser Writing of the Porous Graphene Foam for Multiplexed Electrochemical Sweat Sensors. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37433119 DOI: 10.1021/acsami.3c02485] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
Wearable electrochemical sensors provide means to detect molecular-level information from the biochemical markers in biofluids for physiological health evaluation. However, a high-density array is often required for multiplexed detection of multiple markers in complex biofluids, which is challenging with low-cost fabrication methods. This work reports the low-cost direct laser writing of porous graphene foam as a flexible electrochemical sensor to detect biomarkers and electrolytes in sweat. The resulting electrochemical sensor exhibits high sensitivity and low limit of detection for various biomarkers (e.g., the sensitivity of 6.49/6.87/0.94/0.16 μA μM-1 cm-2 and detection limit of 0.28/0.26/1.43/11.3 μM to uric acid/dopamine/tyrosine/ascorbic acid) in sweat. The results from this work open up opportunities for noninvasive continuous monitoring of gout, hydration status, and drug intake/overdose.
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Affiliation(s)
- Li Yang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - He Wang
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Abu Musa Abdullah
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Chuizhou Meng
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Xue Chen
- State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Key Laboratory of Bioelectromagnetics and Neuroengineering of Hebei Province, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
| | - Anqi Feng
- State Key Laboratory for Reliability and Intelligence of Electrical Equipment, Hebei Key Laboratory of Smart Sensing and Human-Robot Interaction, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
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Kim S, Park S, Choi J, Hwang W, Kim S, Choi IS, Yi H, Kwak R. An epifluidic electronic patch with spiking sweat clearance for event-driven perspiration monitoring. Nat Commun 2022; 13:6705. [PMID: 36344563 PMCID: PMC9640696 DOI: 10.1038/s41467-022-34442-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022] Open
Abstract
Sensory neurons generate spike patterns upon receiving external stimuli and encode key information to the spike patterns, enabling energy-efficient external information processing. Herein, we report an epifluidic electronic patch with spiking sweat clearance using a sensor containing a vertical sweat-collecting channel for event-driven, energy-efficient, long-term wireless monitoring of epidermal perspiration dynamics. Our sweat sensor contains nanomesh electrodes on its inner wall of the channel and unique sweat-clearing structures. During perspiration, repeated filling and abrupt emptying of the vertical sweat-collecting channel generate electrical spike patterns with the sweat rate and ionic conductivity proportional to the spike frequency and amplitude over a wide dynamic range and long time (> 8 h). With such 'spiking' sweat clearance and corresponding electronic spike patterns, the epifluidic wireless patch successfully decodes epidermal perspiration dynamics in an event-driven manner at different skin locations during exercise, consuming less than 0.6% of the energy required for continuous data transmission. Our patch could integrate various on-skin sensors and emerging edge computing technologies for energy-efficient, intelligent digital healthcare.
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Affiliation(s)
- Sangha Kim
- Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763, Republic of Korea
| | - Seongjin Park
- Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Jina Choi
- Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763, Republic of Korea
| | - Wonseop Hwang
- Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Sunho Kim
- Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - In-Suk Choi
- Department of Materials Science and Engineering, Seoul National University, Seoul, 08826, Republic of Korea
| | - Hyunjung Yi
- Post-Silicon Semiconductor Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
- Department of Materials Science and Engineering, YU-KIST Institute, Yonsei University, Seoul, 03722, Republic of Korea.
| | - Rhokyun Kwak
- Department of Mechanical Convergence Engineering, Hanyang University, Seoul, 04763, Republic of Korea.
- Institute of Nano Science and Technology, Hanyang University, Seoul, 04763, Republic of Korea.
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Di Cristo L, Janer G, Dekkers S, Boyles M, Giusti A, Keller JG, Wohlleben W, Braakhuis H, Ma-Hock L, Oomen AG, Haase A, Stone V, Murphy F, Johnston HJ, Sabella S. Integrated approaches to testing and assessment for grouping nanomaterials following dermal exposure. Nanotoxicology 2022; 16:310-332. [PMID: 35704509 DOI: 10.1080/17435390.2022.2085207] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Exposure to different nanoforms (NFs) via the dermal route is expected in occupational and consumer settings and thus it is important to assess their dermal toxicity and the contribution of dermal exposure to systemic bioavailability. We have formulated four grouping hypotheses for dermal toxicity endpoints which allow NFs to be grouped to streamline and facilitate risk assessment. The grouping hypotheses are developed based on insight into how physicochemical properties of NFs (i.e. composition, dissolution kinetics, size, and flexibility) influence their fate and hazard following dermal exposure. Each hypothesis is accompanied by a tailored Integrated Approach to Testing and Assessment (IATA) that is structured as a decision tree and tiered testing strategies (TTS) for each relevant question (at decision nodes) that indicate what information is needed to guide the user to accept or reject the grouping hypothesis. To develop these hypotheses and IATAs, we gathered and analyzed existing information on skin irritation, skin sensitization, and dermal penetration of NFs from the published literature and performed experimental work to generate data on NF dissolution in sweat simulant fluids. We investigated the dissolution of zinc oxide and silicon dioxide NFs in different artificial sweat fluids, demonstrating the importance of using physiologically relevant conditions for dermal exposure. All existing and generated data informed the formulation of the grouping hypotheses, the IATAs, and the design of the TTS. It is expected that the presented IATAs will accelerate the NF risk assessment for dermal toxicity via the application of read-across.
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Affiliation(s)
- Luisana Di Cristo
- D3 PharmaChemistry, Nanoregulatory Group, Italian Institute of Technology, Genova, Italy
| | - Gemma Janer
- LEITAT Technological Center, Barcelona, Spain
| | - Susan Dekkers
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | | | - Anna Giusti
- German Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Berlin, Germany
| | - Johannes G Keller
- BASF SE, Dept. Material Physics and Dept of Experimental Toxicology & Ecology, Ludwigshafen, Germany
| | - Wendel Wohlleben
- BASF SE, Dept. Material Physics and Dept of Experimental Toxicology & Ecology, Ludwigshafen, Germany
| | - Hedwig Braakhuis
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Lan Ma-Hock
- BASF SE, Dept. Material Physics and Dept of Experimental Toxicology & Ecology, Ludwigshafen, Germany
| | - Agnes G Oomen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Andrea Haase
- German Federal Institute for Risk Assessment (BfR), Department of Chemical and Product Safety, Berlin, Germany
| | - Vicki Stone
- Nano Safety Research Group, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK
| | - Fiona Murphy
- Nano Safety Research Group, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK
| | - Helinor J Johnston
- Nano Safety Research Group, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK
| | - Stefania Sabella
- D3 PharmaChemistry, Nanoregulatory Group, Italian Institute of Technology, Genova, Italy
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Electrochemical biosensor for glycine detection in biological fluids. Biosens Bioelectron 2021; 182:113154. [PMID: 33773381 DOI: 10.1016/j.bios.2021.113154] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 01/26/2023]
Abstract
We present herein the very first amperometric biosensor for the quantitative determination of glycine in diverse biological fluids. The biosensor is based on a novel quinoprotein that catalyzes the oxidation of glycine with high specificity. This process is coupled to the redox conversion of Prussian blue in the presence of hydrogen peroxide originating from the enzymatic reaction. The optimized tailoring of the biosensor design consists of the effective encapsulation of the quinoprotein in a chitosan matrix with the posterior addition of an outer Nafion layer, which is here demonstrated to suppress matrix interference. This is particularly important in the case of ascorbic acid, which is known to influence the redox behavior of the Prussian blue. The analytical performance of the biosensor demonstrates fast response time (<7 s), acceptable reversibility, reproducibility, and stability (<6% variation) as well as a wide linear range of response (25-500 μM) that covers healthy (and even most unhealthy) physiological levels of glycine in blood/serum, urine and sweat. A total of 6 real samples from healthy patients and animals were analyzed: two serum, two urine and two sweat samples. The results were validated via commercially available fluorescence kit, displaying discrepancy of less than 9% in all the samples. The unique analytical features and effortless preparation of the new glycine biosensor position it at the forefront of current technologies towards decentralized clinical applications and sport performance monitoring.
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Pérez-Ràfols C, Liu Y, Wang Q, Cuartero M, Crespo GA. Why Not Glycine Electrochemical Biosensors? SENSORS (BASEL, SWITZERLAND) 2020; 20:E4049. [PMID: 32708149 PMCID: PMC7411573 DOI: 10.3390/s20144049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/14/2020] [Accepted: 07/16/2020] [Indexed: 01/26/2023]
Abstract
Glycine monitoring is gaining importance as a biomarker in clinical analysis due to its involvement in multiple physiological functions, which results in glycine being one of the most analyzed biomolecules for diagnostics. This growing demand requires faster and more reliable, while affordable, analytical methods that can replace the current gold standard for glycine detection, which is based on sample extraction with subsequent use of liquid chromatography or fluorometric kits for its quantification in centralized laboratories. This work discusses electrochemical sensors and biosensors as an alternative option, focusing on their potential application for glycine determination in blood, urine, and cerebrospinal fluid, the three most widely used matrices for glycine analysis with clinical meaning. For electrochemical sensors, voltammetry/amperometry is the preferred readout (10 of the 13 papers collected in this review) and metal-based redox mediator modification is the predominant approach for electrode fabrication (11 of the 13 papers). However, none of the reported electrochemical sensors fulfill the requirements for direct analysis of biological fluids, most of them lacking appropriate selectivity, linear range of response, and/or capability of measuring at physiological conditions. Enhanced selectivity has been recently reported using biosensors (with an enzyme element in the electrode design), although this is still a very incipient approach. Currently, despite the benefits of electrochemistry, only optical biosensors have been successfully reported for glycine detection and, from all the inspected works, it is clear that bioengineering efforts will play a key role in the embellishment of selectivity and storage stability of the sensing element in the sensor.
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Affiliation(s)
| | | | | | | | - Gastón A. Crespo
- Department of Chemistry, School of Engineering Science in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 30, SE-100 44 Stockholm, Sweden; (C.P.-R.); (Y.L.); (Q.W.); (M.C.)
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