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Dive into the research topics where Guihua Zhou is active.

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Featured researches published by Guihua Zhou.


Advanced Materials | 2014

Multilayered Si Nanoparticle/Reduced Graphene Oxide Hybrid as a High‐Performance Lithium‐Ion Battery Anode

Jingbo Chang; Xingkang Huang; Guihua Zhou; Shumao Cui; Peter B. Hallac; Junwei Jiang; Patrick T. Hurley; Junhong Chen

Multilayered Si/RGO anode nanostructures, featuring alternating Si nanoparticle (NP) and RGO layers, good mechanical stability, and high electrical conductivity, allow Si NPs to easily expand between RGO layers, thereby leading to high reversible capacity up to 2300 mAh g(-1) at 0.05 C (120 mA g(-1) ) and 87% capacity retention (up to 630 mAh g(-1) ) at 10 C after 152 cycles.


Analytical and Bioanalytical Chemistry | 2014

Graphene-based sensors for detection of heavy metals in water: a review

Jingbo Chang; Guihua Zhou; Erik R. Christensen; Robert Heideman; Junhong Chen

Graphene (G) is attracting significant attention because of its unique physical and electronic properties. The production of graphene through the reduction of graphene oxide (GO) is a low-cost method. The reduction of GO can further lead to electrically conductive reduced GO. These graphene-based nanomaterials are attractive for high-performance water sensors due to their unique properties, such as high specific surface areas, high electron mobilities, and exceptionally low electronic noise. Because of potential risks to the environment and human health arising from heavy-metal pollution in water, G-/GO-based water sensors are being developed for rapid and sensitive detection of heavy-metal ions. In this review, a general introduction to graphene and GO properties, as well as their syntheses, is provided. Recent advances in optical, electrochemical, and electrical detection of heavy-metal ions using graphene or GO are then highlighted. Finally, challenges facing G/GO-based water sensor development and outlook for future research are discussed.


Small | 2015

Nanomaterial‐enabled Rapid Detection of Water Contaminants

Shun Mao; Jingbo Chang; Guihua Zhou; Junhong Chen

Water contaminants, e.g., inorganic chemicals and microorganisms, are critical metrics for water quality monitoring and have significant impacts on human health and plants/organisms living in water. The scope and focus of this review is nanomaterial-based optical, electronic, and electrochemical sensors for rapid detection of water contaminants, e.g., heavy metals, anions, and bacteria. These contaminants are commonly found in different water systems. The importance of water quality monitoring and control demands significant advancement in the detection of contaminants in water because current sensing technologies for water contaminants have limitations. The advantages of nanomaterial-based sensing technologies are highlighted and recent progress on nanomaterial-based sensors for rapid water contaminant detection is discussed. An outlook for future research into this rapidly growing field is also provided.


ACS Applied Materials & Interfaces | 2014

Real-Time, Selective Detection of Pb2+ in Water Using a Reduced Graphene Oxide/Gold Nanoparticle Field-Effect Transistor Device

Guihua Zhou; Jingbo Chang; Shumao Cui; Haihui Pu; Zhenhai Wen; Junhong Chen

A field-effect transistor (FET) device-based sensor is developed to specifically detect Pb(2+) ions in an aqueous environment that is notably toxic. Reduced graphene oxide (rGO), as the semiconducting channel material, was utilized in the FET device through a self-assembly method. An l-glutathione reduced was employed as the capture probe for the label-free detection. By monitoring the electrical characteristics of the FET device, the performance of the sensor was measured and investigated. Compared with conventional detection technologies, this sensor enabled real-time detection with a response time of 1-2 s. A lower detection limit for Pb(2+) ions as low as 10 nM was achieved, which is much lower than the maximum contaminant level for Pb(2+) ions in drinking water recommended by the World Health Organization. Furthermore, the rGO FET sensor was able to distinguish Pb(2+) from other metal ions. Without any sample pretreatment, the platform is user-friendly.


ACS Sensors | 2017

Pulse-Driven Capacitive Lead Ion Detection with Reduced Graphene Oxide Field-Effect Transistor Integrated with an Analyzing Device for Rapid Water Quality Monitoring

Arnab Maity; Xiaoyu Sui; Chad R. Tarman; Haihui Pu; Jingbo Chang; Guihua Zhou; Ren Ren; Shun Mao; Junhong Chen

Rapid and real-time detection of heavy metals in water with a portable microsystem is a growing demand in the field of environmental monitoring, food safety, and future cyber-physical infrastructure. Here, we report a novel ultrasensitive pulse-driven capacitance-based lead ion sensor using self-assembled graphene oxide (GO) monolayer deposition strategy to recognize the heavy metal ions in water. The overall field-effect transistor (FET) structure consists of a thermally reduced graphene oxide (rGO) channel with a thin layer of Al2O3 passivation as a top gate combined with sputtered gold nanoparticles that link with the glutathione (GSH) probe to attract Pb2+ ions in water. Using a preprogrammed microcontroller, chemo-capacitance based detection of lead ions has been demonstrated with this FET sensor. With a rapid response (∼1-2 s) and negligible signal drift, a limit of detection (LOD) < 1 ppb and excellent selectivity (with a sensitivity to lead ions 1 order of magnitude higher than that of interfering ions) can be achieved for Pb2+ measurements. The overall assay time (∼10 s) for background water stabilization followed by lead ion testing and calculation is much shorter than common FET resistance/current measurements (∼minutes) and other conventional methods, such as optical and inductively coupled plasma methods (∼hours). An approximate linear operational range (5-20 ppb) around 15 ppb (the maximum contaminant limit by US Environmental Protection Agency (EPA) for lead in drinking water) makes it especially suitable for drinking water quality monitoring. The validity of the pulse method is confirmed by quantifying Pb2+ in various real water samples such as tap, lake, and river water with an accuracy ∼75%. This capacitance measurement strategy is promising and can be readily extended to various FET-based sensor devices for other targets.


Scientific Reports | 2017

Field-Effect Transistor Biosensor for Rapid Detection of Ebola Antigen

Yantao Chen; Ren Ren; Haihui Pu; Xiaoru Guo; Jingbo Chang; Guihua Zhou; Shun Mao; Michael A. Kron; Junhong Chen

The Ebola virus transmits a highly contagious, frequently fatal human disease for which there is no specific antiviral treatment. Therefore, rapid, accurate, and early diagnosis of Ebola virus disease (EVD) is critical to public health containment efforts, particularly in developing countries where resources are few and EVD is endemic. We have developed a reduced graphene oxide-based field-effect transistor method for real-time detection of the Ebola virus antigen. This method uses the attractive semiconductor characteristics of graphene-based material, and instantaneously yields highly sensitive and specific detection of Ebola glycoprotein. The feasibility of this method for clinical application in point-of-care technology is evaluated using Ebola glycoprotein suspended in diluted PBS buffer, human serum, and plasma. These results demonstrate the successful fabrication of a promising field-effect transistor biosensor for EVD diagnosis.


Journal of Physics D | 2015

Decoration of vertical graphene with aerosol nanoparticles for gas sensing

Shumao Cui; Xiaoru Guo; Ren Ren; Guihua Zhou; Junhong Chen

A facile method was demonstrated to decorate aerosol Ag nanoparticles onto vertical graphene surfaces using a mini-arc plasma reactor. The vertical graphene was directly grown on a sensor electrode using a plasma-enhanced chemical vapor deposition (PECVD) method. The aerosol Ag nanoparticles were synthesized by a simple vapor condensation process using a mini-arc plasma source. Then, the nanoparticles were assembled on the surface of vertical graphene through the assistance of an electric field. Based on our observation, nonagglomerated Ag nanoparticles formed in the gas phase and were assembled onto vertical graphene sheets. Nanohybrids of Ag nanoparticle-decorated vertical graphene were characterized for ammonia gas detection at room temperature. The vertical graphene served as the conductance channel, and the conductance change upon exposure to ammonia was used as the sensing signal. The sensing results show that Ag nanoparticles significantly improve the sensitivity, response time, and recovery time of the sensor.


Biosensors and Bioelectronics | 2018

Rapid Detection of Single E. coli Bacteria Using a Graphene-based Field-Effect Transistor Device

Bhawana Thakur; Guihua Zhou; Jingbo Chang; Haihui Pu; Bing Jin; Xiaoyu Sui; Xiaochen Yuan; Ching-Hong Yang; Matthew Magruder; Junhong Chen

Contamination of surface and drinking water due to the presence of Escherichia coli bacteria is a major cause of water-borne disease outbreak. To address unmet challenges for practical pathogen detection in contaminated samples, we report fabrication of thermally reduced graphene oxide-based field-effect transistor (rGO FET) passivated with an ultrathin layer of Al2O3 for real-time detection of E. coli bacteria. The sensor could detect a single E. coli cell within 50 s in a 1 µL sample volume. The ultrathin layer of Al2O3 acted as a barrier between rGO and potential interferents present in the sample. E. coli specific antibodies anchored on gold nanoparticles acted as probes for selective capture of E. coli. The high density of negative charge on the surface of E. coli cells strongly modulates the concentration of majority charge carriers in the rGO monolayer, thereby allowing real-time monitoring of E. coli concentration in a given sample. With a low detection limit of single cell, the FET sensor had a linear range of 1-100 CFU in 1 µL volume of sample (i.e., 103 to 105 CFU/ mL). The biosensor with good selectivity and rapid detection was further successfully demonstrated for E. coli sensing in river water. The rGO-based FET sensor provides a low cost and label-free approach, and can be mass produced for detection of a broad spectrum of pathogens in water or other liquid media.


Environmental science. Nano | 2018

Rapid detection of nutrients with electronic sensors: a review

Xiaoyan Chen; Guihua Zhou; Shun Mao; Junhong Chen

Nutrients such as nitrogen and phosphorus are key indexes in evaluating water eutrophication. Electronic sensors, i.e., potentiometric sensors, voltammetric sensors, and field-effect transistor (FET) sensors, that rely on electrical signals (e.g., potential, current and resistance) have shown unique properties and capabilities in detecting nutrients. Compared with conventional methods, these electronic sensors enable a rapid and low-level detection of nitrogen salts and phosphates in water. Over the past decades various sensor designs and sensing elements have been studied and reported. With the development of nanomaterials, the performance of electronic sensors has been further improved, presenting tremendous opportunities for detecting nutrients and other water contaminants. This review article will introduce the recent progress of electronic sensors in detecting nitrogen salts and phosphates, and will discuss current limitations and future directions for these sensors.


Environmental science. Nano | 2017

Ultrasensitive detection of orthophosphate ions with reduced graphene oxide/ferritin field-effect transistor sensors

Shun Mao; Haihui Pu; Jingbo Chang; Xiaoyu Sui; Guihua Zhou; Ren Ren; Yantao Chen; Junhong Chen

The phosphorus level is one of the major parameters in evaluating water eutrophication and there is an increasing demand for accurate and real-time monitoring technology for phosphorus determination. As a novel ion detection method, field-effect transistor (FET) sensors show a lot of potential in low-concentration and real-time orthophosphate ion detection. Here we report a reduced graphene oxide (rGO)-based FET platform for orthophosphate ion detection. The sensing platform was fabricated with rGO nanosheets as the sensing channel and ferritin as the specific detection probe for orthophosphate ions. The sensors hold great promise in real-time detection of orthophosphate ions with a lower limit of detection down to 26 nM (phosphorus level: 0.806 μg L−1), a response time on the order of seconds, and good selectivity in the presence of other interfering anions. Compared with standard optical methods, this electronic sensor could potentially be used for online and real-time monitoring of phosphorus in surface water.

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Junhong Chen

University of Wisconsin–Milwaukee

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Jingbo Chang

University of Wisconsin–Milwaukee

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Shun Mao

University of Wisconsin–Milwaukee

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Shumao Cui

University of Wisconsin–Milwaukee

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Haihui Pu

University of Wisconsin–Milwaukee

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Xingkang Huang

University of Wisconsin–Milwaukee

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Ren Ren

University of Wisconsin–Milwaukee

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Xiaoyu Sui

University of Wisconsin–Milwaukee

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Shun Mao

University of Wisconsin–Milwaukee

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Zhenhai Wen

University of Wisconsin–Milwaukee

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