• Laser & Optoelectronics Progress
  • Vol. 60, Issue 11, 1106016 (2023)
Jiahui Zhang1,2 and Xiuhong Wang1,2,*
Author Affiliations
  • 1Beijing Engineering Research Center of Laser Technology, Key Laboratory of Tran-Scale Laser Manufacturing Technology, Ministry of Education, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China
  • 2Institute of Laser Engineering, Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing 100124, China
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    DOI: 10.3788/LOP231130 Cite this Article Set citation alerts
    Jiahui Zhang, Xiuhong Wang. Optical Biosensors Based on Graphene-Like Two-Dimensional Materials[J]. Laser & Optoelectronics Progress, 2023, 60(11): 1106016 Copy Citation Text show less
    Zero-dimensional fullerene, one-dimensional single-wall carbon nanotube, and three-dimensional graphite formed by graphene[7]
    Fig. 1. Zero-dimensional fullerene, one-dimensional single-wall carbon nanotube, and three-dimensional graphite formed by graphene[7]
    Atomic structure of typical two-dimensional materials[16]
    Fig. 2. Atomic structure of typical two-dimensional materials[16]
    Schematic diagram of the detection principle of GO-based fluorescent biosensor[46]
    Fig. 3. Schematic diagram of the detection principle of GO-based fluorescent biosensor[46]
    Graphene optical sensors for cell recognition. (a) Flow-sensing system for a single-cell setup; (b) discrete time-dependent changes in voltage that correspond to mixed lymphocytes and Jurkat cells as they roll across the detection window; (c) enlarged images of voltage signal at certain positions in Fig. (b); (d) statistical plot of mixed cells of Jurkat cells and lymphocytes detected (regions R1 and R2 represent the statistical distribution of Jurkat cells and lymphocytes, respectively, inset is the histograms with the number of counts for each cell population)[52]
    Fig. 4. Graphene optical sensors for cell recognition. (a) Flow-sensing system for a single-cell setup; (b) discrete time-dependent changes in voltage that correspond to mixed lymphocytes and Jurkat cells as they roll across the detection window; (c) enlarged images of voltage signal at certain positions in Fig. (b); (d) statistical plot of mixed cells of Jurkat cells and lymphocytes detected (regions R1 and R2 represent the statistical distribution of Jurkat cells and lymphocytes, respectively, inset is the histograms with the number of counts for each cell population)[52]
    Monitoring the response of cancer cells to drugs using graphene sensors. (a) Schematic diagram of graphene optical sensing system; (b) weak refractive index change generated by ultrasonic; (c) response time of the graphene-based optical sensor; (d) response of LoVo cell to paclitaxel[54]
    Fig. 5. Monitoring the response of cancer cells to drugs using graphene sensors. (a) Schematic diagram of graphene optical sensing system; (b) weak refractive index change generated by ultrasonic; (c) response time of the graphene-based optical sensor; (d) response of LoVo cell to paclitaxel[54]
    Schematic illustration of the graphene oxide/up conversion nanoparticle sensor detection flow[56]
    Fig. 6. Schematic illustration of the graphene oxide/up conversion nanoparticle sensor detection flow[56]
    Schematic view of the formation of GONS@SurMB and delivery of the nanocarriers to the astrocyte cells to detect survivin mRNA[58]
    Fig. 7. Schematic view of the formation of GONS@SurMB and delivery of the nanocarriers to the astrocyte cells to detect survivin mRNA[58]
    Detection of miRNA using antimonene SPR sensor. (a) Schematic diagram of an antimonene sensor for detecting miRNA hybridization events; (b) SPR spectra with miRNA concentrations ranging from 10-17 mol/L to 10-11 mol/L (arrow indicates the changes in SPR angle)[59]
    Fig. 8. Detection of miRNA using antimonene SPR sensor. (a) Schematic diagram of an antimonene sensor for detecting miRNA hybridization events; (b) SPR spectra with miRNA concentrations ranging from 10-17 mol/L to 10-11 mol/L (arrow indicates the changes in SPR angle)[59]
    The GO-AgNPs SERS sensor detects PSA. (a) Illustration for SERS immunoassay of PSA; (b) SERS spectra; (c) linear curve for PSA detection[61]
    Fig. 9. The GO-AgNPs SERS sensor detects PSA. (a) Illustration for SERS immunoassay of PSA; (b) SERS spectra; (c) linear curve for PSA detection[61]
    Graphene SPR sensors specifically detect proteins. (a) Principle of graphene-based fiber optic SPR biosensor and the experimental setup; (b) SPR spectra for each analyte; (c) SPR wavelengths for each analyte[63]
    Fig. 10. Graphene SPR sensors specifically detect proteins. (a) Principle of graphene-based fiber optic SPR biosensor and the experimental setup; (b) SPR spectra for each analyte; (c) SPR wavelengths for each analyte[63]
    SensorWork principleAdvantageDisadvantage

    Graphene

    electrical sensor

    Since graphene exhibits ambipolar behavior,the p-type or n-type behavior can be tuned effectively by the gate voltage. The principle of sensing is based on changes in drain-source conductivity of the graphene channel upon the binding of the sample to the receptor-functionalized grapheneSmall size,large surface area,fast electron transfer,fast response time,high sensitivity and reduced surface contaminationOnly measure current changes,low spatial resolution,damage samples,affect results

    Graphene

    optical sensor

    Under total internal reflection,graphene exhibits characteristics of enhanced polarization absorption and broadband absorption. The sensor uses the attenuated total reflection method to detect the refractive index change near the sensor surfaceHigh spatial resolution,wide and deep detection range,high sensitivity and high precision,accurate and fast detection,unlabeled samplesSince the light absorption rate of single-layer graphene is too low,the area generated by the active photocurrent is too small. Aggregation and precipitation of high concentration samples may affect optical detection
    Table 1. Difference between a graphene-based electrical sensor and a graphene-based optical sensor[51]
    Immunoassay methodDetection range /(ng·mL-1Detection limit /(ng·mL-1YearsReference
    SERS immunoassay5×10-4-0.52.3×10-4201861
    SERS assay0.05-2000.05201664
    Colorimetric assay0.05-200.03201365
    Colorimetric assay0-104201666
    Fluoroimmunoassay0-1280.33201467
    light scattering assay0.05-100.02201768
    light scattering assay1-201201769
    Electrochemiluminescence1.4-703.5201370
    Electrochemical assay0.14-14000.14201371
    Electrochemical assay0.01-100.006201272
    Table 2. Comparison of multiple PSA detection methods
    Jiahui Zhang, Xiuhong Wang. Optical Biosensors Based on Graphene-Like Two-Dimensional Materials[J]. Laser & Optoelectronics Progress, 2023, 60(11): 1106016
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