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Quantitative detection of morphine based on an up-conversion luminescent system.

Xue Zhao¹, Yusheng Fu¹, Chunhui Ren¹

¹School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. guojinhong@uestc.edu.cn.

|December 9, 2020

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This study introduces an ultrasensitive up-conversion luminescent system for rapid, quantitative morphine detection. The system offers a convenient, portable, and cost-effective solution for biomolecule analysis.

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Area of Science:

* Luminescence and Photonics
* Analytical Chemistry
* Biomolecular Detection

Background:

* Up-conversion luminescent materials convert low-frequency light to high-frequency light, offering advantages like long fluorescence lifetime and low toxicity.
* These materials are valuable for detecting and identifying biomolecules due to their unique optical properties.
* Existing detection methods may suffer from interference and lower sensitivity.

Purpose of the Study:

* To develop an ultrasensitive up-conversion luminescent system for the quantitative detection of morphine.
* To leverage infrared excitation light to minimize autofluorescence interference from biological samples.
* To enhance detection accuracy and speed through advanced image processing algorithms.

Main Methods:

* Utilized an up-conversion luminescent material as a label for morphine detection.
* Employed infrared light as the excitation source for up-conversion.
* Implemented an algorithm for light intensity processing to reduce noise and improve accuracy.
* Calculated the T/C value for quantitative analysis.

Main Results:

* Achieved quantitative detection of morphine with a detection limit of 0.1 ng mg-1.
* Demonstrated a rapid detection time of less than 0.5 minutes.
* The system effectively reduced interference and scattering from biological sample autofluorescence.
* The developed algorithm improved the accuracy of morphine detection.

Conclusions:

* The developed up-conversion luminescent system provides a sensitive, quantitative, and rapid method for morphine detection.
* The system's portability, convenience, and low cost make it suitable for various applications.
* Potential applications include the detection of other biomolecules, food analysis, environmental monitoring, and national security.