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Application of smartphone-based spectroscopy to biosample analysis: A review
Wenhui Chen1, Yao Yao1, Tianyu Chen1
1School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu Province, China.
Biosensors & Bioelectronics
|November 6, 2020
Summary
Smartphone optical sensors offer new ways to analyze biological samples for health monitoring. This review covers microscopic imaging, colorimetric, and luminescence sensing applications, discussing current limitations and future potential.
Area of Science:
- Biomedical Engineering
- Optical Sensing Technologies
- Mobile Health
Background:
- Smartphones have significantly altered daily life and opened new avenues for scientific research.
- There is a growing emphasis on health management, driving the integration of health monitoring with smartphone technology.
- Various smartphone-based optical detection platforms have been developed for biological sample analysis.
Purpose of the Study:
- To review the applications of smartphone-based optical sensors for analyzing biosamples.
- To highlight key sensing modalities including microscopic imaging, colorimetric, and luminescence sensing.
- To discuss current limitations and future prospects of smartphone sensors in spectroscopy.
Main Methods:
- Review of existing literature on smartphone-based optical sensing platforms.
- Categorization of applications based on sensing principles: microscopic imaging, colorimetric, and luminescence.
- Analysis of current technological limitations and future research directions.
Main Results:
- Smartphone optical sensors are versatile tools for biosample analysis.
- Key applications demonstrated in microscopic imaging, colorimetric assays, and luminescence detection.
- Identified limitations in current smartphone spectroscopy and outlined future potential.
Conclusions:
- Smartphone-based optical sensors represent a promising, accessible technology for diverse biosensing applications.
- Further development is needed to overcome current limitations in spectroscopy and enhance sensor capabilities.
- The future holds significant potential for widespread adoption in health monitoring and scientific research.

