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A ratiometric fluorescence sensor for ascorbic acid determination based on an AND-NAND logic pair.

Zilong Zhang1, Dengying Long1, Mei Yang2

  • 1School of Chemistry and Chemical Engineering, Southwest University, Chongqing, 400700, China.

Mikrochimica Acta
|October 12, 2021
PubMed
Summary

A new ratiometric fluorescence sensor using carbon quantum dots and molybdenum oxide nanosheets enables sensitive detection of ascorbic acid (AA). This AND-NAND logic-based sensor accurately measures AA in fruits, with applications in computing and environmental monitoring.

Keywords:
AND-NAND logic pairAscorbic acid (AA)Fluorescence ratioMoO3 nanosheetsNon-purified CDs

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Area of Science:

  • * Nanomaterials Science
  • * Analytical Chemistry
  • * Sensor Technology

Background:

  • * Carbon quantum dots (CDs) and molybdenum oxide nanosheets (MoO3 NSs) are key components in advanced sensor development.
  • * Ascorbic acid (AA) detection is crucial for various applications, including food quality and biomedical diagnostics.
  • * Logic operations in sensors offer enhanced specificity and complex data processing capabilities.

Purpose of the Study:

  • * To develop a novel AND-NAND logic pair-based ratiometric fluorescence sensor for ascorbic acid (AA) detection.
  • * To utilize non-purified carbon quantum dots (CDs) and molybdenum oxide nanosheets (MoO3 NSs) for sensitive and selective AA sensing.
  • * To demonstrate the sensor's applicability in real-world samples, such as fresh fruit.

Main Methods:

  • * Fabrication of a ratiometric fluorescence sensor integrating CDs and MoO3 NSs.
  • * Implementation of an AND-NAND logic operation triggered by the interaction between AA and MoO3 NSs.
  • * Characterization of fluorescence quenching mechanisms (static, dynamic, internal filtration) and product formation.

Main Results:

  • * Successful construction of a ratiometric fluorescence sensor based on an AND-NAND logic pair.
  • * The sensor demonstrated a wide linear range (0.05-50 μM) and a low detection limit (34 nM) for AA.
  • * High sensitivity, selectivity, and successful detection of AA in fresh fruit samples were achieved.

Conclusions:

  • * The developed AND-NAND logic pair sensor offers a highly sensitive and selective method for AA detection.
  • * The sensor's ability to detect AA in real fruit samples highlights its practical utility.
  • * This approach holds potential for applications in chemical computing, optoelectronics, and environmental monitoring.