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Matter, Volume 2 Supplemental Information Investigation of Cortisol Dynamics in Human Sweat Using a Graphene-Based Wireless mHealth System Rebeca M. Torrente-Rodríguez, Jiaobing Tu, Yiran Yang, Jihong Min, Minqiang Wang, Yu Song, You Yu, Changhao Xu, Cui Ye, Waguih William IsHak, and Wei Gao

Investigation of Cortisol Dynamics in Human Sweat Using a ...Matter, Volume 2 Supplemental Information Investigation of Cortisol Dynamics in Human Sweat Using a Graphene-Based Wireless

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  • Matter, Volume 2

    Supplemental Information

    Investigation of Cortisol Dynamics

    in Human Sweat Using

    a Graphene-Based Wireless mHealth System

    Rebeca M. Torrente-Rodríguez, Jiaobing Tu, Yiran Yang, Jihong Min, Minqiang Wang, YuSong, You Yu, Changhao Xu, Cui Ye, Waguih William IsHak, and Wei Gao

  • Matter, Volume 2

    Supplemental Information

    Investigation of Cortisol Dynamics

    in Human Sweat Using

    a Graphene-Based Wireless mHealth System

    Rebeca M. Torrente-Rodríguez, Jiaobing Tu, Yiran Yang, Jihong Min, Minqiang Wang, YuSong, You Yu, Changhao Xu, Cui Ye, Waguih William IsHak, and Wei Gao

  • Figure S1. Schematic of modification procedure of the graphene electrode for cortisol sensing.

    LGE

    PPAPolymerization

    BSA blocking

    Cortisol recognition

    EDC/Sulfo-NHSactivation

    Ab immobilization

  • Figure S2. Characterization of the graphene sensor. Differential pulse voltammetry (DPV) in

    2.0 mM of K4Fe(CN)6/K3Fe(CN)6 (1:1) after each modification step.

    0

    10

    20

    30

    40

    50

    60

    -0.2 0 0.2 0.4

    -I (µ

    A)

    E (V)

    Bare

    pPPA

    CAb

    BSA

    Cortisol-HRP

  • Figure S3. Electrochemical cortisol sensor optimization. Effect of cortisol-HRP dilution factor

    on amperometric signals. Data are represented as mean ± SD (n = 3).

    0.0

    1.0

    2.0

    3.0

    4.0

    0

    100

    200

    300

    400

    500

    1/300 1/200 1/100

    I 0.0/

    I 10.0

    -I (n

    A)

    Cortisol-HRP dilution

    Blank 10 ng mL-110.0 ng/mL0.0

  • Figure S4. Performance characterization of the graphene-based electrochemical sensors.

    Effect of various pHs (A), ionic strengths (B), and presence of interferential molecules (5.0 ng/mL)

    (C). PBST, phosphate buffered saline with Tween® 20.Data are represented as mean ± SD (n = 3).

    A B C

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0

    100

    200

    300

    400

    0.1X 1X 5X 10X

    I 0.0/

    I 5.0

    -I (n

    A)

    PBST concentration

    Blank 5.0 ng mL-15.0 ng/mL0.0

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0

    100

    200

    300

    400

    7.4 5.5 4.1

    I 0.0/

    I 5.0

    -I (n

    A)

    pH

    Blank 5.0 ng mL-15.0 ng/mL0.0

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0

    100

    200

    300

    400

    I 0.0/

    I 5.0

    -I (n

    A)

    Blank 5.0 ng mL-15.0 ng/mL0.0

  • Figure S5. Stability test of the graphene-based electrochemical sensors. Variation of

    amperometric responses for 0.0 and 5.0 ng/mL cortisol with time. Data are represented as mean ±

    SD (n = 3).

    0.0

    0.5

    1.0

    1.5

    2.0

    2.5

    0

    100

    200

    300

    400

    day 0 day 1 day 2 day 4 day 5 day 7 day 10 day 26 day 35

    I 0.0/

    I 5.0

    -I (n

    A)

    Blank 55.0 ng/mL0.0

  • Figure S6. Optimization of platform design. 3-channel amperometric signals obtained with two

    platform designs in 1,000,000X diluted HRP-cortisol, 2.0 mM HQ and 1.0 mM H2O2 in 50 mM

    phosphate buffer (pH 6.0). The platform with asymmetric working-to-reference design (A)

    displays larger variations in signals obtained as compared with a symmetric design (B).

    0

    250

    500

    750

    1000

    1250

    0 50 100 150

    E (m

    V)

    Time (s)

    WE1

    WE2

    WE312

    3

    0

    250

    500

    750

    1000

    1250

    0 50 100 150

    E (m

    V)

    Time (s)

    WE1WE2WE3

    A B

    12

    3

  • Figure S7. Proportional error evaluated for the GS4 based on real sample recovery studies.

    0.0

    2.0

    4.0

    6.0

    8.0

    10.0

    0.0 2.0 4.0 6.0 8.0 10.0

    Rec

    over

    ed c

    ortis

    ol (n

    g/m

    L)

    Actual cortisol (ng/mL)

    Measured value

  • Figure S8. Thermal image of the sensor patch on human forearm.

  • Figure S9. Influence of temperature on sensor performance. Amperometric responses for 0.0,

    1.0 and 5.0 ng/mL cortisol incubated at room temperature (25 °C), 31 °C and 37 °C. Data are

    represented as mean ± SD (n = 3).

    0

    100

    200

    300

    400

    25 37

    -I (n

    A)

    31Temperature (oC)

    Blank

    1.0

    5.0

    ng/mL

    ng/mL

    0.0

  • Figure S10. Iontophoresis based sweat sampling. Illustration of iontophoresis-assisted sweat

    stimulation on a subject’s forearm, and principles of sweat stimulation and cortisol excretion in

    sweat.

  • Figure S11. Influence of time of exercise in cortisol variation. Cortisol level evaluated in sweat

    and its relative percentage change of two healthy subjects before and after physical exercise

    conducted in the morning (AM) and in the afternoon (PM).

    0

    20

    40

    60

    80

    100

    0.0

    2.0

    4.0

    6.0

    8.0

    AM PM

    % C

    hang

    e

    Cor

    tisol

    (ng/

    mL)

    Time of exercise

    10 min 50 minSubject 1

    0

    50

    100

    150

    200

    250

    0.0

    1.0

    2.0

    3.0

    AM PM

    % C

    hang

    e

    Cor

    tisol

    (ng/

    mL)

    Time of exercise

    10 min 50 minSubject 2

    A B

  • Figure S12. Salivary cortisol at several time points across the cold pressor test for four subjects

    (C1-C4) from the human study presented in Figure 5.

    0.0

    2.5

    5.0

    7.5

    10.0

    Sal

    ivar

    y co

    rtiso

    l (ng

    /mL)

    C1

    C2

    C3

    C4

    CPT +

    8 min

    CPT +

    16 mi

    n

    CPT +

    24 mi

    n