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Shamsaei D, Hsieh SA, Ocaña-Rios I, Ryan SJ, Anderson JL. Smartphone as a fluorescence detector for high-performance liquid chromatography. Anal Chim Acta 2023; 1280:341863. [PMID: 37858553 DOI: 10.1016/j.aca.2023.341863] [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: 08/27/2023] [Revised: 09/26/2023] [Accepted: 09/29/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Fluorescence detection is employed in high-performance liquid chromatography (HPLC) due to its high specificity and sensitivity. However, it is often limited by expensive components and bulkiness. Recently, advances in technology and electronics have led to the development of smartphones that can serve as portable recording, analysis, and monitoring tools. Smartphone-based detection provides advantages of cost effectiveness, rapid signal/data processing, and the display of results on a handhold monitor. The combination of smartphone-based detection with HPLC can offer unique features that are beneficial in overcoming limitations of commercial fluorescence detectors. (90) RESULTS: A miniaturized and low-cost HPLC fluorescence detector based on a smartphone is introduced for the detection of six fluorescent molecules. The smartphone is able to capture emitted fluorescence in video format while MATLAB code is used for data processing to provide chromatograms based on different detection channels. A custom designed double-channel flow cell was utilized to enable simultaneous detection of fluorescent compounds with different excitation wavelengths. The detector consists of a lab-made flow cell, monochromatic LEDs as the light source, 3D printed housing and connector box, fiber optic cables, and a smartphone. The effects of flow cell geometry, channel width and light slit diameter, as well as a comparison of different flow cell manufacturing techniques, are studied and discussed. The validated system was successfully applied to samples from diverse water sources, yielding spiking recoveries within the range of 91.7% and 109.7%. (141) SIGNIFICANCE: This study introduces the first smartphone-based fluorescence detector for HPLC with cost-effective and customizable flow cells, allowing for the simultaneous detection of fluorescent compounds with different excitation wavelengths and offering a potential solution for the analysis of co-eluting compounds. Beyond its user-friendly interface and low-cost, smartphone detection in HPLC provides tremendous opportunities in further miniaturizing chromatographic instrumentation while offering high sensitivity and can be expanded to other mechanisms of detection. (70).
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Affiliation(s)
- Danial Shamsaei
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
| | - Shu-An Hsieh
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
| | - Iran Ocaña-Rios
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
| | - Saxon J Ryan
- Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, 50011, USA
| | - Jared L Anderson
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA.
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Yu Q, Chen J, Fu W, Muhammad KG, Li Y, Liu W, Xu L, Dong H, Wang D, Liu J, Lu Y, Chen X. Smartphone-Based Platforms for Clinical Detections in Lung-Cancer-Related Exhaled Breath Biomarkers: A Review. BIOSENSORS 2022; 12:bios12040223. [PMID: 35448283 PMCID: PMC9028493 DOI: 10.3390/bios12040223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/01/2022] [Accepted: 04/05/2022] [Indexed: 12/24/2022]
Abstract
Lung cancer has been studied for decades because of its high morbidity and high mortality. Traditional methods involving bronchoscopy and needle biopsy are invasive and expensive, which makes patients suffer more risks and costs. Various noninvasive lung cancer markers, such as medical imaging indices, volatile organic compounds (VOCs), and exhaled breath condensates (EBCs), have been discovered for application in screening, diagnosis, and prognosis. However, the detection of markers still relies on bulky and professional instruments, which are limited to training personnel or laboratories. This seriously hinders population screening for early diagnosis of lung cancer. Advanced smartphones integrated with powerful applications can provide easy operation and real-time monitoring for healthcare, which demonstrates tremendous application scenarios in the biomedical analysis region from medical institutions or laboratories to personalized medicine. In this review, we propose an overview of lung-cancer-related noninvasive markers from exhaled breath, focusing on the novel development of smartphone-based platforms for the detection of these biomarkers. Lastly, we discuss the current limitations and potential solutions.
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Affiliation(s)
- Qiwen Yu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Jing Chen
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310051, China;
| | - Wei Fu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Kanhar Ghulam Muhammad
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Yi Li
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Wenxin Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Linxin Xu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Hao Dong
- Research Center for Sensing Materials and Devices, Zhejiang Lab, Hangzhou 311100, China; (H.D.); (D.W.)
| | - Di Wang
- Research Center for Sensing Materials and Devices, Zhejiang Lab, Hangzhou 311100, China; (H.D.); (D.W.)
| | - Jun Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
| | - Yanli Lu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
- Correspondence: (Y.L.); (X.C.)
| | - Xing Chen
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China; (Q.Y.); (W.F.); (K.G.M.); (Y.L.); (W.L.); (L.X.); (J.L.)
- Correspondence: (Y.L.); (X.C.)
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Use of universal 3D-Printed smartphone spectrophotometer to develop a time-based analysis for hypochlorite. Anal Chim Acta 2021; 1151:338249. [PMID: 33608080 DOI: 10.1016/j.aca.2021.338249] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 01/13/2021] [Accepted: 01/19/2021] [Indexed: 12/18/2022]
Abstract
A fully-functional smartphone-based spectrophotometer was designed and built using 3D printing. The major advantage of this approach is its capacity to be interfaced with a variety of smartphones, allowing the use of the smartphone's camera and display, and regardless of the relative position of the camera. The analytical performance of the device was analyzed using a model dye (crystal violet), leading to a proportional response for concentrations in the 0.06-15.0 mg L-1 range, with a variability of 1.0% (intra-day) and 2.6% (inter-day). To demonstrate the functionality of the device, the degradation process of the dye by sodium hypochlorite was studied. The results obtained were applied to develop a paper-based test for NaClO in sanitation solutions, in which the time required to bleach the dye was used to estimate the concentration of the solution. This device represents a simple and inexpensive tool for everyday laboratory use and could address important analytical challenges in low-income communities and features a versatile arrangement, that is compatible with a wide variety of smartphones and software platforms.
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Vizzini P, Manzano M, Farre C, Meylheuc T, Chaix C, Ramarao N, Vidic J. Highly sensitive detection of Campylobacter spp. In chicken meat using a silica nanoparticle enhanced dot blot DNA biosensor. Biosens Bioelectron 2021; 171:112689. [DOI: 10.1016/j.bios.2020.112689] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/21/2020] [Accepted: 10/04/2020] [Indexed: 10/23/2022]
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