1
|
Qin Y, Xiao D, Gao X, Zhang X, Xu Y. Nanocubic cobalt-containing Prussian blue analogue-derived carbon-coated CoFe alloy nanoparticles for noninvasive uric acid sensing. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:2496-2504. [PMID: 38578053 DOI: 10.1039/d4ay00121d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
This work describes an electrochemical sensor for the fast noninvasive detection of uric acid (UA) in saliva. The sensing material was based on a cobalt-containing Prussian blue analogue (Na2-xCo[Fe(CN)6]1-y, PCF). By optimizing the ratio of Co and Fe as 1.5 : 1 in PCF (PCF1.5,0), particles with a regular nanocubic morphology were formed. The calcination of PCF1.5,0 produced a carbon-coated CoFe alloy (CCF1.5), which possessed abundant defects and achieved an excellent electrochemical performance. Subsequently, CCF1.5 was modified on a screen-printed carbon electrode (SPCE) to fabricate the electrochemical sensor, CCF1.5/SPCE, which showed a sensitive and selective response toward salivary UA owing to its good conductivity, sufficient surface active sites and efficient catalytic activity. The determination of UA in artificial saliva achieved the wide linear range of 40 nM-30 μM and the low limit of detection (LOD) of 15.3 nM (3σ/s of 3). The performances of the sensor including its reproducibility, stability and selectivity were estimated to be satisfactory. The content of UA in human saliva was determined and the recovery was in the range of 98-107% and the total RSD was 4.14%. The results confirmed the reliability of CCF1.5/SPCE for application in noninvasive detection.
Collapse
Affiliation(s)
- Yunting Qin
- School of Pharmacy, Chengdu University, No. 2025, Chengluo Avenue, Chengdu, P. R. China
| | - Dan Xiao
- Institute of Advanced Study, Chengdu University, No. 2025, Chengluo Avenue, Chengdu, P. R. China.
- College of Chemical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu, P. R. China.
| | - Xilan Gao
- College of Food and Bioengineering, Chengdu University, No. 2025, Chengluo Avenue, Chengdu, P. R. China
| | - Xicui Zhang
- Sichuan Institute of Product Quality Supervision & Inspection, No. 16, Xinmao Street, Chengdu, China.
| | - Yanxue Xu
- Institute of Advanced Study, Chengdu University, No. 2025, Chengluo Avenue, Chengdu, P. R. China.
| |
Collapse
|
2
|
Liu M, He D, Liu Z, Hu C. Disposable solar microcell array-based addressable photoelectrochemical sensor for high-throughput and multiplexed analysis of salivary metabolites. Biosens Bioelectron 2023; 232:115312. [PMID: 37060863 DOI: 10.1016/j.bios.2023.115312] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/16/2023] [Accepted: 04/08/2023] [Indexed: 04/17/2023]
Abstract
The high-throughput detection of multiple metabolites in saliva by electrochemical sensors is usually a challenge, which however is essential to the comprehensive evaluation of health status or screening of diseases. Here, a light-addressable and paper-based hydrogen peroxide (H2O2) photoelectrochemical (PEC) sensor for the high-throughput detection of multiple salivary metabolites is reported. This sensor has a unique solar microcell array structure with a silver nanowires/fullerene-Congo red (AgNWs/C60-CR) disc working electrode (WE) and a single-walled carbon nanotubes/platinum nanowires (SWCNTs/PtNWs) ring reference/counter electrode (RE/CE) in each microcell. Enzymes of different metabolites are immobilized on different separated microcells of a cover slide over the sensor, from which enzymatically produced H2O2 can react with p-hydroxyphenyl boric acid (4-HPBA) on the WE of the sensor to generate hydroquinone (HQ) for photocurrent responses. Based on this strategy, a disposable PEC sensor of saliva was developed, which allows the multiplexed detection of uric acid (UA), glucose (GLU) and lactate (LA) in diluted human saliva with high sensitivity and selectivity. Moreover, the detection throughput and application field of the sensor can be easily extended by connecting a series of sensors in parallel or varying the enzymes. The present work thus establishes a cost-effective approach to the scalable construction of versatile biosensing platforms with tunable throughput and varied analytes.
Collapse
Affiliation(s)
- Min Liu
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan, 430062, China
| | - Danting He
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China
| | - Zhihong Liu
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan, 430062, China.
| | - Chengguo Hu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, China.
| |
Collapse
|
3
|
Han Y, Li XL, Zhang M, Wang J, Zeng S, Min JZ. Potential use of a dried saliva spot (DSS) in therapeutic drug monitoring and disease diagnosis. J Pharm Anal 2022; 12:815-823. [PMID: 36605582 PMCID: PMC9805949 DOI: 10.1016/j.jpha.2021.11.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 10/28/2021] [Accepted: 11/03/2021] [Indexed: 01/07/2023] Open
Abstract
In recent years, scientific researchers have increasingly become interested in noninvasive sampling methods for therapeutic drug monitoring and disease diagnosis. As a result, dried saliva spot (DSS), which is a sampling technique for collecting dried saliva samples, has been widely used as an alternative matrix to serum for the detection of target molecules. Coupling the DSS method with a highly sensitive detection instrument improves the efficiency of the preparation and analysis of biological samples. Furthermore, dried blood spots, dried plasma spots, and dried matrix spots, which are similar to those of the DSS method, are discussed. Compared with alternative biological fluids used in dried spot methods, including serum, tears, urine, and plasma, saliva has the advantage of convenience in terms of sample collection from children or persons with disabilities. This review aims to provide integral strategies and guidelines for dried spot methods to analyze biological samples by illustrating several dried spot methods. Herein, we summarize recent advancements in DSS methods from June 2014 to March 2021 and discuss the advantages and disadvantages of the key aspects of this method, including sample preparation and method validation. Finally, we outline the challenges and prospects of such methods in practical applications.
Collapse
Affiliation(s)
- Yu Han
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji, Jilin, 133002, China
| | - Xi-Ling Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji, Jilin, 133002, China
| | - Minghui Zhang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji, Jilin, 133002, China
| | - Jing Wang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji, Jilin, 133002, China
| | - Su Zeng
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- Corresponding author.
| | - Jun Zhe Min
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji, Jilin, 133002, China
- Corresponding author.
| |
Collapse
|
4
|
Wang K, Li G, Wang D, Lin L. Non-invasive quantitative analysis of human blood components in renal three items using spectral compensation method based on spectral data and component content correlation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 227:107210. [PMID: 36347065 DOI: 10.1016/j.cmpb.2022.107210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 10/12/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND AND OBJECTIVE The non-invasive measurement of the blood component contents in humans using spectroscopic methods has important clinical application value. In the absorption spectrum of human blood, for a target component with a small content, the absorption spectrum line is low, the absorption spectrum line of the target component changes weakly at different wavelengths, and the absorption spectrum lines of the target and non-target components overlap. The above reasons cause the spectral line difference between the target and non-target components to be small. However, non-target components also have physical properties such as scattering, which will reduce the contribution of the target component in the absorption spectrum of blood, that is, the spectral line difference between the target and non-target components becomes smaller, thus making the accuracy of the target component model lower. METHODS To increase the accuracy of modeling analysis, according to the correlation between spectral data and the content of the target component, this paper proposes a spectral compensation method. The method compensates for the influence caused by the non-target components on the target components through the mathematical relations between the data of the spectrum and the contents of the target components. Thus, a high-precision, non-invasive quantitative analysis system of human blood components is obtained. Taking the analysis of the three components of urea nitrogen, creatinine, and uric acid as examples, the experiment used spectral data before and after spectral compensation and partial least squares (PLS) methods to build two models and used them to predict the content of the target component. RESULTS When the models of different components established by the spectral compensation method respectively predict the all samples' contents of urea, creatinine, and uric acid, the three correlation coefficients can reach more than 0.9700. CONCLUSION It can be obtained from the experimental results that the spectral compensation method can greatly increase the performance of each component model. Spectral compensation is a new and comprehensive method for improving the quality of spectral data. Therefore, this paper obtains a non-invasive quantitative analysis system of human blood components with higher precision, and can quantitatively analyze blood urea nitrogen, creatinine, and uric acid in human blood with high precision, which has great practical application value in clinical practice.
Collapse
Affiliation(s)
- Kang Wang
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Nankai District, Weijin Road, No. 92, Tianjin 300072, China
| | - Gang Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Nankai District, Weijin Road, No. 92, Tianjin 300072, China
| | - Dan Wang
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Nankai District, Weijin Road, No. 92, Tianjin 300072, China
| | - Ling Lin
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Nankai District, Weijin Road, No. 92, Tianjin 300072, China.
| |
Collapse
|
5
|
Boroujerdi R, Paul R, Abdelkader A. Rapid Detection of Amitriptyline in Dried Blood and Dried Saliva Samples with Surface-Enhanced Raman Spectroscopy. SENSORS (BASEL, SWITZERLAND) 2022; 22:8257. [PMID: 36365956 PMCID: PMC9657543 DOI: 10.3390/s22218257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/20/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
There is growing demand for rapid, nondestructive detection of trace-level bioactive molecules including medicines, toxins, biomolecules, and single cells, in a variety of disciplines. In recent years, surface-enhanced Raman scattering has been increasingly applied for such purposes, and this area of research is rapidly growing. Of particular interest is the detection of such compounds in dried saliva spots (DSS) and dried blood spots (DBS), often in medical scenarios, such as therapeutic drug monitoring (TDM) and disease diagnosis. Such samples are usually analyzed using hyphenated chromatography techniques, which are costly and time consuming. Here we present for the first time a surface-enhanced Raman spectroscopy protocol for the detection of the common antidepressant amitriptyline (AMT) on DBS and DSS using a test substrate modified with silver nanoparticles. The validated protocol is rapid and non-destructive, with a detection limit of 95 ppb, and linear range between 100 ppb and 1.75 ppm on the SERS substrate, which covers the therapeutic window of AMT in biological fluids.
Collapse
Affiliation(s)
- Ramin Boroujerdi
- Faculty of Science and Technology, Bournemouth University, Talbot Campus, Fern Barrow, Poole BH12 5BB, UK
| | | | | |
Collapse
|
6
|
Han SH, Ha YJ, Kang EH, Shin K, Lee YJ, Lee GJ. Electrochemical detection of uric acid in undiluted human saliva using uricase paper integrated electrodes. Sci Rep 2022; 12:12033. [PMID: 35835916 PMCID: PMC9283454 DOI: 10.1038/s41598-022-16176-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 07/06/2022] [Indexed: 11/24/2022] Open
Abstract
In this study, we introduce a uricase-immobilized paper (UOx-paper) integrated electrochemical sensor for detection of uric acid (UA) in saliva. The UOx was immobilized on the detection zone in the wax-patterned paper substrate. This UOx-paper was integrated with a Prussian blue-modified, screen-printed carbon electrode after electropolymerization of o-phenylenediamine to construct an electrochemical cell for small-volume (20 μL) of samples. First, we optimized the fabrication conditions of UOx-paper. Next, the amperometric response of the UOx-paper-based electrochemical UA sensor was analyzed using a known concentration of UA standard solution in artificial saliva at an applied potential of − 0.1 V (versus Ag pseudo-reference electrode). The UOx-paper based electrochemical UA sensor showed a sensitivity of 4.9 μA·mM−1 in a linear range of 50 to 1000 μM (R2 = 0.998), high selectivity and good reproducibility, as well as a limit of detection of 18.7 μM (0.31 mg/dL) UA. Finally, we quantified the UA levels in undiluted saliva samples of healthy controls (n = 20) and gout patients (n = 8). The levels were correlated with those measured with conventional salivary UA enzymatic assays as well as serum UA levels. The UOx-paper-based electrochemical UA sensor is a user-friendly and convenient tool to assess salivary UA levels.
Collapse
Affiliation(s)
- Seong Hyun Han
- Department of Medical Engineering, Kyung Hee University, Graduate School, Seoul, 02447, Republic of Korea
| | - You-Jung Ha
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Eun Ha Kang
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea
| | - Kichul Shin
- Division of Rheumatology, Seoul Metropolitan Government-Seoul National University Boramae Medical Centre, Seoul, 07061, Republic of Korea
| | - Yun Jong Lee
- Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea. .,Department of Medical Device Development, Seoul National University Graduate School, Seongnam-si, Gyeonggi-do, 13605, Republic of Korea.
| | - Gi-Ja Lee
- Department of Medical Engineering, Kyung Hee University, Graduate School, Seoul, 02447, Republic of Korea. .,Department of Biomedical Engineering, College of Medicine, Kyung Hee University, #1 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea.
| |
Collapse
|
7
|
Fan K, Zeng J, Yang C, Wang G, Lian K, Zhou X, Deng Y, Liu G. Digital Quantification Method for Sensitive Point-of-Care Detection of Salivary Uric Acid Using Smartphone-Assisted μPADs. ACS Sens 2022; 7:2049-2057. [PMID: 35820152 DOI: 10.1021/acssensors.2c00854] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Uric acid (UA) is an important biomarker for many diseases. A sensitive point-of-care (POC) testing platform is designed for the digital quantification of salivary UA based on a colorimetric reaction on an easy-to-build smartphone-assisted microfluidic paper-based analytical device (SμPAD). UA levels are quantified according to the color intensity of Prussian blue on the SμPAD with the aid of a MATLAB code or a smartphone APP. A color correction method is specifically applied to exclude the light effect. Together with the engineering design of SμPADs, the background calibration function with the APP increases the UA sensitivity by 100-fold to reach 0.1 ppm with a linear range of 0.1-200 ppm. The assay time is less than 10 min. SμPADs demonstrate a correlation of 0.97 with a commercial UA kit for the detection of salivary UA in clinical samples. SμPADs provide a sensitive, fast, affordable, and reliable tool for the noninvasive POC quantification of salivary UA for early diagnosis of abnormal UA level-associated health conditions.
Collapse
Affiliation(s)
- Kexin Fan
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Jiayang Zeng
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Chenyu Yang
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Gonglei Wang
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Kai Lian
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Xiuhong Zhou
- Department of Neurosurgery, The Longgang Central Hospital of Shenzhen, Shenzhen 518116, China
| | - Yaping Deng
- Department of Endocrinology, The Longgang Central Hospital of Shenzhen, Shenzhen 518116, China
| | - Guozhen Liu
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| |
Collapse
|
8
|
Tan M, Xu Y, Gao Z, Yuan T, Liu Q, Yang R, Zhang B, Peng L. Recent Advances in Intelligent Wearable Medical Devices Integrating Biosensing and Drug Delivery. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2108491. [PMID: 35008128 DOI: 10.1002/adma.202108491] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/28/2021] [Indexed: 05/27/2023]
Abstract
The primary roles of precision medicine are to perform real-time examination, administer on-demand medication, and apply instruments continuously. However, most current therapeutic systems implement these processes separately, leading to treatment interruption and limited recovery in patients. Personalized healthcare and smart medical treatment have greatly promoted research on and development of biosensing and drug-delivery integrated systems, with intelligent wearable medical devices (IWMDs) as typical systems, which have received increasing attention because of their non-invasive and customizable nature. Here, the latest progress in research on IWMDs is reviewed, including their mechanisms of integrating biosensing and on-demand drug delivery. The current challenges and future development directions of IWMDs are also discussed.
Collapse
Affiliation(s)
- Minhong Tan
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
- School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Yang Xu
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Ziqi Gao
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Tiejun Yuan
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Qingjun Liu
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Rusen Yang
- School of Advanced Materials and Nanotechnology, Xidian University, Xian, 710126, P. R. China
| | - Bin Zhang
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Lihua Peng
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, P. R. China
| |
Collapse
|