A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer
Smartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra—transmission, reflection, and fl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/14/12/590 |
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| author | Erhuan Zhuo Huanxin Xia Huan Hu Yu Lin |
| author_facet | Erhuan Zhuo Huanxin Xia Huan Hu Yu Lin |
| author_sort | Erhuan Zhuo |
| collection | DOAJ |
| description | Smartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra—transmission, reflection, and fluorescence—by simply replacing the optical fiber attached to the housing. Spectral analysis is performed directly on the smartphone using a custom-developed app. Furthermore, we introduce a high signal-to-noise ratio (SNR) caffeine detection scheme that leverages aspirin and salicylic acid as fluorescent probes, allowing for the rapid and straightforward detection of caffeine in various samples. The fluorescence quenching of the probes was found to be linearly related to the caffeine concentration (0–200 μM), and the recoveries of the commercially available caffeine-containing samples were in the range of 98.0333–105.6000%, with a limit of detection (LOD) of 2.58 μM. The reliability and stability of the on-site assay using the smartphone spectrometer were verified. More importantly, this spectrometer demonstrates great potential as a versatile device for use outside of laboratory settings by enabling different operating modes tailored to various scenarios. |
| format | Article |
| id | doaj-art-60cf78d9d13745c8ae430b0f4af73d29 |
| institution | Kabale University |
| issn | 2079-6374 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj-art-60cf78d9d13745c8ae430b0f4af73d292024-12-27T14:14:12ZengMDPI AGBiosensors2079-63742024-12-01141259010.3390/bios14120590A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based SpectrometerErhuan Zhuo0Huanxin Xia1Huan Hu2Yu Lin3Zhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University, Haining 314400, ChinaZhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University, Haining 314400, ChinaZhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University, Haining 314400, ChinaZhejiang University-University of Illinois Urbana-Champaign Institute, Zhejiang University, Haining 314400, ChinaSmartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra—transmission, reflection, and fluorescence—by simply replacing the optical fiber attached to the housing. Spectral analysis is performed directly on the smartphone using a custom-developed app. Furthermore, we introduce a high signal-to-noise ratio (SNR) caffeine detection scheme that leverages aspirin and salicylic acid as fluorescent probes, allowing for the rapid and straightforward detection of caffeine in various samples. The fluorescence quenching of the probes was found to be linearly related to the caffeine concentration (0–200 μM), and the recoveries of the commercially available caffeine-containing samples were in the range of 98.0333–105.6000%, with a limit of detection (LOD) of 2.58 μM. The reliability and stability of the on-site assay using the smartphone spectrometer were verified. More importantly, this spectrometer demonstrates great potential as a versatile device for use outside of laboratory settings by enabling different operating modes tailored to various scenarios.https://www.mdpi.com/2079-6374/14/12/590aspirincaffeineon-site detectionpoint-of-care testingsmartphone-based spectroscopy |
| spellingShingle | Erhuan Zhuo Huanxin Xia Huan Hu Yu Lin A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer Biosensors aspirin caffeine on-site detection point-of-care testing smartphone-based spectroscopy |
| title | A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer |
| title_full | A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer |
| title_fullStr | A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer |
| title_full_unstemmed | A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer |
| title_short | A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer |
| title_sort | new caffeine detection method using a highly multiplexed smartphone based spectrometer |
| topic | aspirin caffeine on-site detection point-of-care testing smartphone-based spectroscopy |
| url | https://www.mdpi.com/2079-6374/14/12/590 |
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