6
1 Supporting Information Air Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory Monitoring Meng Wang, a Jiahao Zhang, a Yingjie Tang, a Jun Li, b Baosen Zhang, a Erjun Liang, a Yanchao Mao, a,* Xudong Wang b,* a MOE Key Laboratory of Materials Physics, School of Physics and Engineering, Zhengzhou University, Zhengzhou 450001, China * E-mail: [email protected] b Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA * Email: [email protected] Figure S1 (a) The output voltage and current versus different load resistances under the air flow rate of 120 L/min (wind speed: 10 m/s). (b) The corresponding output power versus different load resistances. Figure S1a shows the resistance-dependent output voltage and current when the load resistance was varied from 47 KΩ to 300 MΩ under the air flow rate of 120 L/min. When the load resistance was below 100 KΩ, the output voltage of the TENG remained nearly 0 and the output current was about 5.8 μA. When the resistance increased from 100 KΩ to 300 MΩ, the 10 4 10 5 10 6 10 7 10 8 10 9 0 100 200 300 400 500 600 Voltage 1 2 3 4 5 6 Current Voltage (V) Current (μA) Power (mW) Resistance () Resistance () a b 10 4 10 5 10 6 10 7 10 8 10 9 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Power

Resistance - University of Wisconsin–Madison

  • Upload
    others

  • View
    3

  • Download
    0

Embed Size (px)

Citation preview

1

Supporting Information

Air Flow-Driven Triboelectric Nanogenerators for Self-Powered Real-Time Respiratory

Monitoring

Meng Wang,a Jiahao Zhang,

a Yingjie Tang,

a Jun Li,

b Baosen Zhang,

a Erjun Liang,

a

Yanchao Mao,a,*

Xudong Wangb,*

aMOE Key Laboratory of Materials Physics, School of Physics and Engineering, Zhengzhou

University, Zhengzhou 450001, China

* E-mail: [email protected] bDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison,

WI 53706, USA

* Email: [email protected]

Figure S1 (a) The output voltage and current versus different load resistances under the air flow

rate of 120 L/min (wind speed: 10 m/s). (b) The corresponding output power versus different

load resistances.

Figure S1a shows the resistance-dependent output voltage and current when the load

resistance was varied from 47 KΩ to 300 MΩ under the air flow rate of 120 L/min. When the

load resistance was below 100 KΩ, the output voltage of the TENG remained nearly 0 and the

output current was about 5.8 μA. When the resistance increased from 100 KΩ to 300 MΩ, the

104

105

106

107

108

109

0

100

200

300

400

500

600

Voltage

1

2

3

4

5

6

Current

Vo

lta

ge

(V

)

Cu

rre

nt

(µA

)

Po

we

r (m

W)

Resistance (Ω) Resistance (Ω)

a b

104

105

106

107

108

109

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

Power

2

output voltage increased to 600 V, while the output current decreased to 1.3 μA. Correspondingly,

the maximum output power was found to be 1.3 mW at the load resistance of 15.1 MΩ, as

illustrated in Figure S1b.

Figure S2 (a) The output voltage and (b) current signals recorded under different relative

humidity at the flow rate of 85 L/min. The corresponding average peak values were plotted as a

function of relative humidity as depicted by the blue curves.

The effect of the humidity on the TENG performance was also investigated. The output

voltage and current measured from the TENG under different relative humidity at the flow rate

of 85 L/min are shown in Figure S2a and b, respectively. When the relative humidity increased

from 50 to 90%, the average peak values of output voltage and current decreased from 1.5 to 0.4

V and 0.8 to 0.2 μA, respectively. These results demonstrated that the TENG was still able to

generate appropriate responses under highly humid conditions.

50%

60%

70%

80%

90%

0 5 10 15 20 25

-2

-1

0

1

2

3

50% 60% 70% 80% 90%

0 5 10 15 20 25-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

2.0 50%

60%

70%

80%

90%

50% 60% 70% 80% 90%

Vo

ltag

e(V

)

Cu

rren

t (μA

)

Time (s)

a b

Time (s)

Relative Humidity Relative Humidity

3

Figure S3 The rectified output voltage of the TENG under an air flow rate of 120 L/min.

A bridge circuit composed of four diodes was used to rectify the AC output into DC output.

Figure S3 depicts the output voltage of the TENG after rectification under an air flow rate of 120

L/min. The output voltage of the TENG was successfully rectified by the bridge circuit with

negligible decrease in the peak amplitude.

0 1 2 3 4 5

-1

0

1

2

3

4

Time (s)

Vo

ltag

e (

V)

4

Figure S4 (a) Schematic diagrams of the intelligent wireless respiratory monitoring and alert

system. (b) The circuits for signal processing and transmitting. (c) (i) The original respiratory

signal generated from the TENG, (ii) converted square signal by the relay, and (iii) switched

signal by the SCM. (d) The TENG based wireless respiratory monitoring and alert system for

providing alerts through an alarm. (e) When a person stopped breathing more than 5 s, the alarm

Micro-

controllersReceiverTransmitter

GSM

module

TENG

Voltage

comparator

Micro-

controllers

Alerting

Emergency

call

Breathing

Breathing

No breathing

No breathing

Wireless

transmitter

Wireless

receiver

Alerting

GSM transmitter

Emergency call

a

d e

f g

Voltage

comparator

-2

0

2

0

2

4

Vo

lta

ge

(V

)

Time (s)

No breathingBreathing Alertingc (i)

(iii)

(ii)

0 2 4 6 8 10 12 14 16 18 20

0

5

10

Relay

GSM

SCM

b

Transmitter

5

could be triggered to alert. (f) The TENG based wireless respiratory monitoring and alert system

for providing alerts through a cell phone. (g) When a person stopped breathing more than 5 s, the

cell phone could be dialed to give alerts.

An intelligent wireless respiratory monitoring and alert system was constructed based on the

air flow driven TENG, a signal processing circuit, a wireless transmitter, an alarm, and a cell

phone, as schematically shown in Figure S4a. Figure S4b exhibits four circuit boards used in the

signal processing circuit: a latching relay to convert the original electric signal into square signal

for triggering a single-chip microcomputer (SCM), a SCM to switch the signal (the detailed

circuit diagram is shown in Figure S5), a wireless transmitter to transmit the signal, and a

global system for mobile communications (GSM) module to dial. As shown in Figure S4c, from

top to bottom, the first signal is the original respiratory signal generated from the TENG (i),

followed by the square signal (ii), and the switched signal (iii), respectively. When the person is

breathing, the TENG could generate electric output signals and the converted square signals were

displayed in the oscilloscope, as shown in Figure S4d. When the person stopped breathing for

more than 5 s, the switched signal by the SCM could wirelessly trigger the alarm (Figure S4e and

Video S3). A cell phone can also be used to wirelessly provide alerts in this respiratory

monitoring and alert system. When the person stopped breathing more than 5 s, the cell phone

could be dialed for timely alerting (Figure S4f and g, and Video S4).

6

Figure S5 The detailed circuit diagram of the SCM.

Video S1 The air flow driven vibration behavior of the PTFE/Cu film captured using a high-

speed camera.

Video S2 4 commercial white LEDs were directly powered up under an air flow rate of 120

L/min.

Video S3 When a person stop breathing more than 5 s, an alarm could be wirelessly triggered

through the respiratory monitoring and alert system.

Video S4 When a person stop breathing more than 5 s, a cell phone could be dialed through the

respiratory monitoring and alert system.