Chemical Sensing in Real Time with Plants Using a Webcam

Xingcai Qin, Ying Zhu, Jingjing Yu, Xiaojun Xian, Chenbin Liu, Yuting Yang, Nongjian Tao

Research output: Contribution to journalArticle

Abstract

It has been established that plants can smell and respond to chemicals in order to adapt to and survive in a changing chemical environment. Here we show that a plant responds to chemicals in air, and the response can be detected rapidly to allow tracking of air pollution in real time. We demonstrate this capability by detecting subtle color and shape changes in the leaves of mosses upon exposure to sulfur dioxide in air with a simple webcam and an imaging-processing algorithm. The leaves of mosses consist of a monolayer of cells, providing a large surface-to-volume ratio for highly sensitive chemical sensing. The plant sensor responds linearly to sulfur dioxide within a wide concentration range (0-180 ppm), and it can tolerate humidity variation (15-85% relative humidity) and chemical interference and regenerate itself. We envision that plants can help alert chemical exposure danger as a part of our living environment using low-cost CMOS imagers, and their chemical-sensing capabilities may be further improved with genetic engineering.

Original languageEnglish (US)
JournalAnalytical Chemistry
DOIs
StateAccepted/In press - Jan 1 2018

Fingerprint

Sulfur Dioxide
Atmospheric humidity
Genetic engineering
Air
Air pollution
Image sensors
Monolayers
Cells
Color
Imaging techniques
Sensors
Processing
Costs

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

Chemical Sensing in Real Time with Plants Using a Webcam. / Qin, Xingcai; Zhu, Ying; Yu, Jingjing; Xian, Xiaojun; Liu, Chenbin; Yang, Yuting; Tao, Nongjian.

In: Analytical Chemistry, 01.01.2018.

Research output: Contribution to journalArticle

Qin, Xingcai ; Zhu, Ying ; Yu, Jingjing ; Xian, Xiaojun ; Liu, Chenbin ; Yang, Yuting ; Tao, Nongjian. / Chemical Sensing in Real Time with Plants Using a Webcam. In: Analytical Chemistry. 2018.
@article{aad93d2abbad488ca1138515cc6ba4a5,
title = "Chemical Sensing in Real Time with Plants Using a Webcam",
abstract = "It has been established that plants can smell and respond to chemicals in order to adapt to and survive in a changing chemical environment. Here we show that a plant responds to chemicals in air, and the response can be detected rapidly to allow tracking of air pollution in real time. We demonstrate this capability by detecting subtle color and shape changes in the leaves of mosses upon exposure to sulfur dioxide in air with a simple webcam and an imaging-processing algorithm. The leaves of mosses consist of a monolayer of cells, providing a large surface-to-volume ratio for highly sensitive chemical sensing. The plant sensor responds linearly to sulfur dioxide within a wide concentration range (0-180 ppm), and it can tolerate humidity variation (15-85{\%} relative humidity) and chemical interference and regenerate itself. We envision that plants can help alert chemical exposure danger as a part of our living environment using low-cost CMOS imagers, and their chemical-sensing capabilities may be further improved with genetic engineering.",
author = "Xingcai Qin and Ying Zhu and Jingjing Yu and Xiaojun Xian and Chenbin Liu and Yuting Yang and Nongjian Tao",
year = "2018",
month = "1",
day = "1",
doi = "10.1021/acs.analchem.8b03863",
language = "English (US)",
journal = "Analytical Chemistry",
issn = "0003-2700",
publisher = "American Chemical Society",

}

TY - JOUR

T1 - Chemical Sensing in Real Time with Plants Using a Webcam

AU - Qin, Xingcai

AU - Zhu, Ying

AU - Yu, Jingjing

AU - Xian, Xiaojun

AU - Liu, Chenbin

AU - Yang, Yuting

AU - Tao, Nongjian

PY - 2018/1/1

Y1 - 2018/1/1

N2 - It has been established that plants can smell and respond to chemicals in order to adapt to and survive in a changing chemical environment. Here we show that a plant responds to chemicals in air, and the response can be detected rapidly to allow tracking of air pollution in real time. We demonstrate this capability by detecting subtle color and shape changes in the leaves of mosses upon exposure to sulfur dioxide in air with a simple webcam and an imaging-processing algorithm. The leaves of mosses consist of a monolayer of cells, providing a large surface-to-volume ratio for highly sensitive chemical sensing. The plant sensor responds linearly to sulfur dioxide within a wide concentration range (0-180 ppm), and it can tolerate humidity variation (15-85% relative humidity) and chemical interference and regenerate itself. We envision that plants can help alert chemical exposure danger as a part of our living environment using low-cost CMOS imagers, and their chemical-sensing capabilities may be further improved with genetic engineering.

AB - It has been established that plants can smell and respond to chemicals in order to adapt to and survive in a changing chemical environment. Here we show that a plant responds to chemicals in air, and the response can be detected rapidly to allow tracking of air pollution in real time. We demonstrate this capability by detecting subtle color and shape changes in the leaves of mosses upon exposure to sulfur dioxide in air with a simple webcam and an imaging-processing algorithm. The leaves of mosses consist of a monolayer of cells, providing a large surface-to-volume ratio for highly sensitive chemical sensing. The plant sensor responds linearly to sulfur dioxide within a wide concentration range (0-180 ppm), and it can tolerate humidity variation (15-85% relative humidity) and chemical interference and regenerate itself. We envision that plants can help alert chemical exposure danger as a part of our living environment using low-cost CMOS imagers, and their chemical-sensing capabilities may be further improved with genetic engineering.

UR - http://www.scopus.com/inward/record.url?scp=85055103651&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85055103651&partnerID=8YFLogxK

U2 - 10.1021/acs.analchem.8b03863

DO - 10.1021/acs.analchem.8b03863

M3 - Article

JO - Analytical Chemistry

JF - Analytical Chemistry

SN - 0003-2700

ER -