Next Article in Journal
Effects of a Rotating Cone on the Mixed Convection in a Double Lid-Driven 3D Porous Trapezoidal Nanofluid Filled Cavity under the Impact of Magnetic Field
Previous Article in Journal
Unravelling the Potential Cytotoxic Effects of Metal Oxide Nanoparticles and Metal(Loid) Mixtures on A549 Human Cell Line
Previous Article in Special Issue
Synthesis of Diatomite-Based Mesoporous Wool-Ball-Like Microspheres and Their Application for Toluene Total Oxidation Reaction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A Highly Sensitive SERS and RRS Coupled Di-Mode Method for CO Detection Using Nanogolds as Catalysts and Bifunctional Probes

1
Key Laboratory of Ecology of Rare and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin 541004, China
2
Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology for Science and Education Combined with Science and Technology Innovation Base, Guilin 541004, China
3
College of Chemistry and Biology Engineering, Hechi University, Yizhou 546300, China
*
Authors to whom correspondence should be addressed.
Nanomaterials 2020, 10(3), 450; https://doi.org/10.3390/nano10030450
Submission received: 31 January 2020 / Revised: 20 February 2020 / Accepted: 28 February 2020 / Published: 2 March 2020
(This article belongs to the Special Issue Nanomaterials for Catalysis and Pollution Abatement)

Abstract

:
Carbon monoxide (CO) is a commonly poisonous gas. It is important to detect CO in daily life. Herein, a new and sensitive surface enhanced Raman scattering (SERS) and resonance Rayleigh scattering (RRS) coupled di-mode method was developed for CO, based on gold nano-enzyme catalysis and gold nanoprobes. CO can react with HAuCl4 to generate gold nanoparticles (AuNPs) in pH 5.2 HAc-NaAc buffer. The generated AuNPs exhibited SERS activity at 1620 cm−1 in the presence of Vitoria blue B (VBB) molecular probes, and an RRS peak at 290 nm. Based on the AuNP bifunctional probes, the increased SERS and RRS intensities respond linearly with the concentration of CO in the range of 100–1500 ng/mL and 30–5230 ng/mL, respectively. To improve the sensitivity, the produced AuNPs were used as nano-enzyme catalysts for the new indicator reaction of HAuCl4-ethanol (En) to amplify the signal. The sensitive SERS method was coupled with the accurate RRS method to develop a sensitive and accurate SERS/RRS di-mode method for determination of 3.0–413 ng/mL CO, based on the AuNP-HAuCl4-En nanocatalytic reaction and its product of AuNPs as SERS and RRS bifunctional probes.

1. Introduction

The progress and continuity of metabolic and genetic information transmission in life-sustaining activities are closely related to the orderly chemical reactions in vivo, and enzymes are the key to catalyzing these chemical reactions to proceed smoothly. Bio-enzymes have the advantages of high catalytic efficiency, selectivity of substrates and wide range of catalytic reactions, but their application in production practice is greatly limited because of their high production cost, high cost of preservation and transportation, harsh use conditions and narrow scope [1,2,3,4]. Since the discovery of Fe3O4 nanomaterials with catalytic properties similar to horseradish peroxidase [5], nano-enzymes have attracted much attention. Nano-enzymes have the characteristics of high catalytic efficiency, stability, economy and large-scale preparation. They have been applied in medicine, chemical industry, food, agriculture, environment and analytical chemistry. The catalytic activity of nano-enzymes is higher than that of many traditional mimetic enzymes. Traditional mimetic enzymes are mostly based on organic complexes, using the molecular structure and microenvironment of mimetic enzymes’ catalytic centers such as polymer micelles or molecular imprinting technology. The common problem of these mimetic enzymes is that their catalytic activity and selectivity are low, and their preparation cost is high. So far, these mimetic enzymes can not meet the actual needs. However, nano-enzymes have similar catalytic activities to natural enzymes. The most important feature of nano-enzymes is that they have unique physical and chemical properties of nanomaterials besides catalytic functions. Therefore, nano-enzymes are also considered as bifunctional or multifunctional molecules. How to skillfully combine the catalytic activity of nano-enzymes with their physical and chemical properties to create more unique new functions will be a new subject to be studied. In analytical chemistry, nano-enzymatic reactions have been used in spectrophotometry, fluorescence and chemiluminescence [6,7,8]. Jiang et al. found that gold nanoparticles have catalase-like activity and can catalyze the oxidation of 3,3,5,5-tetramethylbenzidine (TMB) by H2O2 to produce a blue product [9]. Coupled glucose peroxidase (GOx) and gold nanoparticles can be used for the spectrophotometric determination of glucose content, with a linear range of 18–1100 μmol/L, and a detection limit of 4 μmol/L. Liu et al. prepared platinum nanodots in situ on gold nanorods. The nanocomposite could catalytically oxidize o-phenylenediamine (OPD) to produe yellow product, and the coupling GOx could detect glucose spectrophotometrically [10]. Based on the catalysis of immune nanoprobes and aptamer nanoprobes, they are also used in resonance Rayleigh scattering (RRS) and surface enhanced Raman scattering (SERS) quantitative analyses, respectively [11,12].
SERS is a sensitive molecular spectral detection technique based on nanosurface plasmon resonance including solid nanosurface and nanosol [13,14,15,16]. SERS works have not only been focused on the qualitative analysis but also on the quantitative analysis, especially, the improvement of its accuracy. To improve precision, some procedures were reported, such as the internal standard method and SERS/fluorescence di-mode method [12,17]. RRS uses molecular scattering, which can occur when the particle size is much smaller than the wavelength of incident light. The diameter of gold or silver nanoparticles is usually less than 50 nm, which is much smaller than the wavelength of the incident light. Therefore, gold or silver nanoparticles are often used as carriers for the RRS phenomenon. RRS is a simple, rapid and sensitive spectral analysis technology, which was used in nucleic acids, proteins, and small molecule analyses [18,19,20,21,22,23,24]. However, there are rare reports about the detection of gas pollutants by RRS. Wen et al. [25] established a rapid RRS method for 0.2–50 µmol/L O3, based on the generation of tri-iodine ion (I3) reacting with Victoria blue B (VBB) to form the associated particle (VBB-I3)n with an RRS peak at 722 nm. To the best of our knowledge, there are no reports about coupling SERS with RRS to set up a SERS/RRS di-mode method for quantitative analysis of CO, based on the produced AuNP catalysis of the HAuCl4-En-VBB system.
CO is a kind of colorless, odorless, poisonous gas, which is mainly generated by automobiles, incomplete combustion of fossil fuels, industrial production and residential environments [26,27]. People with chronic poisoning of carbon monoxide pollution cannot be aware of it completely, sometimes even feeling comfortable, which makes carbon monoxide more harmful. The chemical affinity of CO with hemoglobin is 300 times stronger than that of O2, and considering its toxicity and difficulty to be detected, CO is regarded a very dangerous “silent killer” [28]. Many researchers have studied how to quickly and accurately detect CO, most studies focus on new sensors. Kim et al. [29] developed a Pd/SnO2 sensors that can detect CO below 60 °C. Boehm et al. [30] produced a device based on InP and GaSb. This device has two ways of the continuous wave mode to detect CO, which makes it possible for the lower limit of detection to reach 2.0 µg/mL. Wang et al. [31] studied the reactions of CO and NO in single wall boron nitride nanotubes (BNNTs) mixed with Ge. They showed that the performance of BNNTs was improved for CO and NO detection. Ghosh et al. [32] introduced a kind of stable and economically viable sensor based on SnO2 nanocrystals. It can achieve determination of CO in the air, with a detection limit of 1.0 μg/mL. Chen et al. [33] used bovine hemoglobin with a high affinity for CO to combine dissolved CO in water to form a two-component system consisting of hemoglobin (Hb) and carboxyhemoglobin (HbCO). CO content can be detected quantitatively using a tilapia color pool through fast and simple double wavelength ultraviolet visible spectrophotometry, of which the detection range achieved 0–0.15 μg/mL and the detection limit was 0.23 μg/L. Chen et al. [34] reported a sensor using a quantum cascade laser with an excitation wavelength of 4.65 µm as the light source, with a detection limit of 108 ppb. Zoltan et al. [35] studied a method which can detect CO concentration and total pressure of the light bulb plenum chamber in order to control the chemical purity of molybdenum foil indirectly through traditional Fourier transform infrared spectroscopy. Wang et al. [36] established a quick and easy method of CO detection for aquatic products, in which the detection limit reached 10 µg/kg. Wang et al. [37] prepared a near-infrared fluorescent probe for the determination of CO, based on the transformation of a nitro group into an amino moiety under the direct reduction of CO. Hao et al. [38] established a kind of headspace gas chromatography–mass spectrometry (HS/GC/MS) method for the precise determination of trace CO in rotten blood, which provides an accurate and reliable method for the determination of CO. While the methods mentioned above are mostly semi-quantitative, establishing a high sensitivity, good selectivity, simple operation and rapid detection method for CO is of great significance to environmental protection and human health. This paper studied the nano-catalytic reaction of CO-HAuCl4-En, and established a new SERS/RRS coupled di-mode method for trace CO. Compared with the reported method of CO, this method has advantages of accuracy and high sensitivity.

2. Materials and Methods

2.1. Apparatus

A model of a DXR smart Raman spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) with laser of 633 nm, power of 2.5 mW, collect time of 5 s and slit of 25 μm, a model of F-7000 Hitachi fluorescence spectrometer (Hitachi Company, Tokyo, Japan) with volt = 500 V, excited slit = emission slit = 5 nm, emission filter = 1%T attenuator and λex − λem = Δλ = 0, and a model of TU-1901 double beam UV-Vis spectrophotometer (Beijing Purkinje General Instrument Co., Ltd., Beijing, China) were used. A model S-4800 scanning electron microscope (SEM, Hitachi High-Technologies Corporation, Tokyo, Japan) was used to record the SEM images. A model of JEM-800 H Field emission transmission electron microscope (Hitachi High-Technologies Corporation, Tokyo, Japan) was used to record the transmission electron microscope (TEM) and energy spectrum, with lattice resolution of 0.204 nm, dot resolution of 0.45 nm, acceleration voltage of 200 kV and tilt angle of 25 degrees. A model of C-MAG HS7 Heating magnetic stirrer (IKA Company, Berlin, Germany), Constant temperature magnetic stirrer (Beijing Kewei Yongxing Instrument Company, Ltd., Beijing, China), and KC-6120 Atmospheric sampler (Laoshan Mountain Electronic Instrument Factory Company, Ltd., Laoshan, China) were used.

2.2. Reagents

A total of 20 mL water in a 25 ℃ water bath in a 25 mL tube was used and filled carbon monoxide gas into the water for 10 min under the normal atmospheric pressure, in which the concentration of CO was 26.03 mg/L according to reference [39]. A 0.2 mol/L HAc-NaAc (Shanghai Reagent Factory, Shanghai, China) buffer solution (pH = 5.2) was made by mixing 79 mL 0.2 mol/L NaAc solution with 21 mL 0.3 mol/L acetic solution then diluting to 100 mL. A 1.0 mg/mL HAuCl4 (Tianjin Guangfu Fine Chemical Research Institute, Tianjin, China) and 20 µmol/L Vitoria blue B (VBB, China Pharmaceutical Shanghai Chemical Reagent Station, Shanghai, China) solution was prepared. Ethanol, PdCl2, glucose and trisodium citrate were purchased from Shanghai Reagent Factory (Shanghai, China).

2.3. Experiment Methods

CO-HAuCl4 system: In a 5 mL empty test tube, 200 µL pH 5.2 HAc-NaAc buffer, 100 µL 0.2 mg/mL HAuCl4 and 120 µL 26.03 mg/L CO were added and mixed well. After 5 min, 57 µL 20 µmol/L VBB and 30 µL 1 mol/L NaCl solutions were added, shaken well, and then diluted to 1.5 mL with water. The SERS and RRS spectra were recorded through a Raman spectrometer and fluorescence spectrophotometer, respectively. The SERS at 1620 cm−1 (I) and RRS intensity at 290 nm (I290 nm), and the blank [I0, (I290 nm)0] without of CO were recorded. The ΔI = I − I0 and ΔI290 nm = I290 nm − (I290 nm)0 were calculated.
CO-HAuCl4-ethanol catalytic system: In a 5 mL empty test tube, 200 µL pH 5.2 HAc-NaAc buffer, 100 µL 0.2 mg/mL HAuCl4 and 120 µL 26.03 mg/L CO were added, diluted to 0.8 mL with water, and mixed well. After 5 min, a 200 µL 99.7% ethanol, 110 µL 0.01 mol/L HCl and 80 µL 1.0 mg/mL HAuCl4 were added. The tube was heated to 75 °C in a water bath for 20 min, and cooled with ice–water. Then, 57 µL 20 µmol/L VBB and 30 µL 1 mol/L NaCl solutions were added, and diluted to 1.5 mL with water. The SERS at 1620 cm−1 (I) and RRS intensity at 370 nm (I370 nm), and the blank [I0, (I370 nm)0] without of CO were recorded. The ΔI = I − I0, ΔI370 nm = I370 nm − (I370 nm)0 and ΔIDi-mode = ΔI + ΔI370 nm were calculated.
CO-PdCl2 system: In a 5 mL empty test tube, 200 µL pH 5.2 HAc-NaAc buffer, 150 µL 0.1 mg/mL PdCl2 and 120 µL 26.03 mg/L CO were added, mixed well, and then diluted to 1.5 mL with water. After 5 min, The RRS spectra were recorded through a fluorescence spectrophotometer. The RRS intensity at 370 nm (I), and the blank (I0) without of CO were recorded. The ΔI = I − I0 were calculated.
CO-HAuCl4-glucose catalytic system: In a 5 mL empty test tube, 200 µL pH 5.2 HAc-NaAc buffer, 100 µL 0.2 mg/mL HAuCl4 and 120 µL 26.03 mg/L CO were added, diluted to 0.8 mL with water, and mixed well. After 5 min, 100 µL 0.1 mol/L glucose, 100 µL 0.01 mol/L HCl and 80 µL 1.0 mg/mL HAuCl4 were added. The tube was heated in a 75 °C water bath for 20 min, and cooled with ice–water. Then, 57 µL 20 µmol/L VBB and 30 µL 1 mol/L NaCl solutions were added, and diluted to 1.5 mL with water. The SERS at 1620 cm−1 (I), and the blank (I0) without of CO were recorded. The ΔI = I − I0 were calculated.
CO-HAuCl4-citrate catalytic system: In a 5 mL empty test tube, 200 µL pH 5.2 HAc-NaAc buffer, 100 µL 0.2 mg/mL HAuCl4 and 120 µL 26.03 mg/L CO were added, diluted to 0.8 mL with water, and mixed well. After 5 min, 100 µL 0.1 mol/L trisodium citrate, 110 µL 0.01 mol/L HCl and 80 µL 1.0 mg/mL HAuCl4 were added. The tube was heated in a 75 °C water bath for 20 min, and cooled with ice–water. Then, 57 µL 20 µmol/L VBB and 30 µL 1 mol/L NaCl solutions were added, and diluted to 1.5 mL with water. The SERS at 1620 cm−1 (I), and the blank (I0) without of CO were recorded. The ΔI = I − I0 were calculated.
The preparation of SEM samples: According to the experimental methods, 1.5 mL reaction solution was taken into a centrifuge tube for 20 min (150 × 100 r/min). Then, the supernatant was removed and diluted to 1.5 mL, with 30 min ultrasonic oscillation. The latter was repeated twice and then 1.5 mL water was added; we then applied 2 μL samples to the silicon wafers for natural drying. After all the steps mentioned above, SEM was performed.
The preparation of CO samples: A total of 10 mL absorb liquid (pH 5.2 buffer + HAuCl4) in u-shaped tube, which connected to the atmospheric sampling instrument, sampling for 60 min with the flow velocity of 0.5 L/min, was used. Then, this was transferred into 5 mL colorimetric tubes. There were also some blank experiments being set for CO detection.

3. Results and Discussion

3.1. Analytical Principle

When a beam of light irradiates nanoparticles with molecules, it generates Rayleigh scattering and Raman scattering. Rayleigh scattering is an elastic scattering. Here, it was much greater than that of the Raman scattering intensity of inelastic scattering. That is to say, the inelastic scattering intensity can be ignored when compared with the Rayleigh scattering. When the molecules were adsorbed on the nanoparticle substrate that produced the SERS effect, the intensity was enhanced greatly. The total scattering intensity (IS) was the sum of RRS and SERS. That is, IS = IRRS + ISERS. In order to achieve this goal, we explored the CO system with SERS and RRS effects.
CO has strong reducibility in a pH 5.2 HAc-NaAc buffer. Therefore, it can react with HAuCl4 to generate red gold nanoparticles, and with the increase of CO concentration, more gold nanoparticles are generated, and it has SERS activity and RRS effect. The RRS and SERS signals (in the presence of the SERS probe VBB) have a positive correlation with the concentration of CO. According to this, two simple and rapid SERS and RRS methods can be established for the analysis of CO. Furthermore, the gold nanoparticles have rich free surface electrons that can enhanced the redox electron transfer and exhibit strong catalysis of the ethanol reduction of HAuCl4 to produce gold nanoparticles with SERS activity and RRS effects. It can be deduced from Equation 1 that under the catalysis of the gold nanoparticles (Au)n generated in the first step, HAuCl4 is reduced to Au by ethanol, and finally autocatalytic growth occurs to AuNPs, and the corresponding ethanol is oxidized to acetic acid. Meanwhile, the formed small Au crystal nucleus also catalyzed the redox reaction of ethanol-HAuCl4, which is called autocatalysis. With the increase of CO concentration, the SERS, RRS and both sums increased linearly due to the gold nanoparticles increasing in the catalytic analytical system. Thus, a novel and highly sensitive SERS/RRS coupled di-mode method was established for the determination of trace CO (Figure 1).
Nanocatalytic reaction:
HAuCl 4 + ethanol   ( En ) catalysis ( Au ) n AuNPs + acetic   acid

3.2. SERS Spectra

A normal Raman scattering signal is very weak, and SERS is very strong due to some organic molecules adsorbing on the surface of nanoparticles to produce the surface plasmon resonance scattering. In general, the SERS intensity responds to molecular probe concentrations. Recently, our group has found that the SERS intensity is also linear to the concentration of nanoparticles as a sole substrate when molecular probe concentrations are held constant. This has been used in SERS quantitative analysis. Using VBB as a molecular probe, the CO-HAuCl4 system exhibited three weak SERS peaks at 1173, 1400 and 1620 cm−1 (Figure 2A). The peaks at 1173, 1400 and 1620 cm−1 are related to -NH2 and C-H bending vibrations, and C=C and C=N stretching vibrations. The most sensitive peak at 1620 cm−1 was selected for use. In a 75 ℃ water bath, the reaction of HAuCl4-En is very slow. Using the AuNPs come from the CO-HAuCl4 reaction as catalyst, the reaction of HAuCl4-En can quickly catalyze the production of gold nanoparticles. With the increase of CO concentration, the AuNPs produced by the first reaction of CO-HAuCl4 increase, and the reaction of HAuCl4-En was catalyzed by AuNPs to generate a large number of gold nanoparticles, and the SERS signal enhanced greatly (Figure 2B), and the peak is enhanced linearly with CO concentration increasing. In addition, both HAuCl4-gluose and HAuCl4-citrate systems also exhibit a strong SERS peak at 1620 cm−1, and its intensity also increased with CO concentration increasing (Figure S1).

3.3. RRS Spectra

RRS is a kind of sensitive molecular spectral technology for the study of nanoparticles. For the CO-HAuCl4 system, CO reacted with HAuCl4 to generate gold nanoparticles with an RRS peak at 290 nm (Figure 3A). In Figure 3A, no obvious RRS peak was observed around 530 nm, mainly because the CO-HAuCl4 system produced few gold nanoparticles and the Rayleigh scattering effect were not obvious, and the RRS intensity linearly enhanced with the increase of CO concentration in the range of 173.5–12,147.3 ng/mL. For the CO-PdCl2 system, there are two obvious RRS peaks at 270 and 360 nm (Figure S2). The RRS intensity at 360 nm is linear to CO concentration in the range of 0.1–2.0 μg/mL CO. Nano-catalysis is a new way to enhance analytical signals. Comparing the sensitivity of Pd (II)-CO and Au (III)-CO systems, it was found that the Au (III)-CO system was more sensitive. To increase the RRS sensitivity for detection of CO, the Au (III)-CO system was coupled with nanocatalytic reaction. At pH 5.2, HAc-NaAc buffer, the CO-HAuCl4-En catalytic system exhibited three RRS peaks at 290, 370 and 535 nm. The RRS peaks at 290 and 370 nm belong to the maximum emission peak of the light source, while the peak at 535 nm is the RRS peak of the spherical AuNPs. Because the intensity of the incident light is large, the RRS signal at 370 nm is stronger than the signal at 535 nm and the regularity is also very good. When CO concentration increases, the peak at 370 nm increases linearly, and this was selected for use (Figure 3B). In addition, the gold nanoparticles from the CO-HAuCl4 reaction, also catalyzed the gold nano-reaction of HAuCl4-glucose. There were also three RRS peaks at 290, 370 nm and 535 nm (Figure S3). Similar to the reducer of En and glucose-containing alcohols, using glycerol as reducer, it also exhibited three RRS peaks at 290, 370 and 535 nm (Figure S4). As for the CO-HAuCl4-citate catalytic system, it has two RRS peaks at 370 and 550 nm (Figure S5). Out of the four catalytic systems, the En system is most sensitive and was chosen for detection of CO.

3.4. UV Absorption Spectra

CO could reduce HAuCl4 to generate AuNPs in the pH 5.2 buffer solution, and the color of the system changed from colorless to pale blue. It had a weak surface plasma resonance (SPR) absorption peak at 548 nm. Along with the increase of the CO concentration, the absorption peak at 548 nm intensity increased slowly (Figure 4A). The CO-HAuCl4-En catalytic system exhibited a strong absorption peak at 550 nm, which was ascribed to the SPR absorption peak of AuNPs. With the increase of the CO concentration, the peaks increased (Figure 4B), but their sensitivity was lower than the RRS method.

3.5. Gold Nano-Enzyme Catalysis

We known that Au3+ and En can adsorb on the surface of AuNPs from the CO-Au3+ reaction. The AuNPs have rich surface electrons that enhance the Au3+ -En redox electron transfer to form more gold nanoparticles (Figure 5). The Au3+ was reduced step-by-step to Au+ and Au; meanwhile, the En was oxidized step-by-step to acetaldehyde (AD) and acetic acid (AA). We also need to pay attention to the catalytic effect of the Au nuclei formed by the redox reaction. That is to say, the autocatalytic reaction also exists in this system. At the same time, although CO reduces Au3+ at a high speed, the reduction ability is weak, so the SERS and RRS sensitivity of the first reaction is very weak. After the nanogold seed is generated through the first-step reaction, the nanogold seed can be used as a catalyst, which greatly improves the growth efficiency of gold nanoparticles. The specific reaction mechanism is shown in Figure 5.

3.6. Scanning Electron Microscopy (SEM), Transmission Electron Microscope (TEM) and Energy Spectrum

As the figure shows (Figure 6A), the gold nanoparticles of the CO-HAuCl4 system have uniform particle sizes. In the TEM inset of Figure 6a, it can be seen that the average particle size of the gold nanoparticles is about 10 nm. The energy spectrum diagram of the nanogold system was obtained by using a transmission electron microscope with 200 kV voltage. The Au peaks appeared at 1.6, 2.1, 2.4 and 9.6 keV. The SEM diagram (TEM inset in Figure 6B) of HAuCl4-En was shown as in Figure 6b, with the progress of the catalytic reaction, Au (III)-En system produced more gold nanoparticles. They have four main spectral peaks at 1.6, 2.1, 2.4, and 9.6 keV, respectively, and the gold content is higher than that of the CO-Au (III) system.

3.7. Conditions Optimization

The two commonly used buffers including acetate and phosphate were considered, and the former was chosen in this study. As in Figure S6a, the pH of the acetate buffer solution was 5.2, which was achieved by a large ΔI value, and was chosen for use. As shown in Figure S6b, when the buffer solution concentration reached 0.24 mmoL/L, ΔI was largest, which was why the buffer solution concentration was chosen as 0.24 mmol/L in this experiment. The effect of HAuCl4 concentration on the system ΔI was also researched. When the concentration of HAuCl4 for the redox reaction was 13.3 μg/mL, ΔI was largest, so the concentration of 13.3 μg/mL HAuCl4 was chosen (Figure S6c). The effect of HAuCl4 concentration of the nano-catalytic reaction on the ΔI was also examined. Results (Figure S6d) show that when the concentration of HAuCl4 was 66.6 μg/mL, the ΔI was the largest, so the concentration of 66.6 μg/mL HAuCl4 was chosen. When the En concentration was 10.6% (v/v) in this experiment the ΔI could achieve the largest in the condition (Figure S6e). The effect of reaction temperature and time on the ΔI were examined. Results (Figure S6f,g) show that the tube was heated in a 75 °C water bath for 20 min, giving the highest ΔI value, and a reaction temperature of 75 °C for heating for 20 min was selected for use. NaCl was a good sensitizer for improvement of SERS signals due to aggregation of the nanoparticles, the effect of its concentration shows that 20 mmol/L gives a high intensity and was chosen for use (Figure S6h). A 0.76 μmol/L VBB obtained the highest intensity and was selected for use (Figure S6i).

3.8. Calibration Curve

The standard curves for SERS and RRS methods were obtained according to the experimental procedure. As for the system of CO-HAuCl4, the CO concentration had a good linear relationship with ΔI and ΔI370 nm when it was in the range of 30–5230 ng/mL and 100–1500 ng/mL, respectively. The SERS method is more sensitive than the RRS. To obtain high sensitivity and accuracy, the catalytic SERS, RRS and SERS/RRS working curves for the En system were examined as in Table 1. It can be seen that the HAuCl4-En SERS/RRS di-mode method is the most sensitive and was chosen for use. The relative standard deviation of five determinations of 100 ng/mL CO by SERS, RRS and di-mode were 7.0%, 4.5%, and 5.6%, respectively. It was compared to the reported methods for CO [26,27,28,29,30,31,32,33,40,41,42,43,44] (Table S1), and the SERS/RRS coupled di-mode is one of the most sensitive methods.

3.9. The Influence of Coexisting Substance

The interferences of common coexistence in the catalytic system were investigated according to the experimental procedure. The results (Table S2) show that the relative error was within ±10%. In the CO-HAuCl4-En system, using acetate as the buffer solution, 10 µg/mL Ca2+, Zn2+, K+, BrO3, Na2S, SeO32−, Ni2+, Cr3+, glucose, ethanol and methyl alcohol; 8 µg/mL Co2+, Mg2+, Fe3+, Pb2+, Al3+, Mn2+, Na2S2O3 and formaldehyde has little effect on the determination of 0.1 µg/mL CO. The results show that this nano-catalytic SERS/RRS di-mode method had a good selectivity.

3.10. Analysis of Samples

When CO concentration was 667 ppm, about 50% oxygen hemoglobin changed into carbonyl hemoglobin. As we know, CO is produced by burning cigarettes. Therefore, we measured six samples, like indoor air, burning gas and cigarette combustion gas, etc. According to the detection methods, there was no CO detected in Samples 1–3 (Table 2), which was due to no burning of carbon material. After burning paper and cigarettes, CO was found in the collected combustion gases. This is due to the incomplete burning of paper and cigarettes, which released the CO that can be detected by the di-mode method (Sample 4–6) with a relative standard deviation (RSD) of 1.8–4.2%. The di-mode results were in agreement with that of CO-Pd(II) spectrophotometry which is a standard method. This indicates that this new method is accurate and reliable.

4. Conclusions

CO has strong reducibility in pH 5.2 HAc-NaAc buffer solution. So it can react with Au(III), generating Au nanoparticles, which exhibit SERS activity and RRS effects. With the increase of CO concentration, both scattering values also increased. Accordingly, two simple and rapid SERS and RRS methods for CO could be established, respectively. Based on the Au nanoparticle catalysis of HAuCl4-En to amplify the SERS and RRS signals, a new sensitive SERS/RRS coupled di-mode method was established for testing trace CO. This SERS/RRS coupled di-mode method was more sensitive than the two SERS and RRS single mode methods.

Supplementary Materials

The following are available online at https://www.mdpi.com/2079-4991/10/3/450/s1, Figure S1: SERS spectra; Figure S2: The RRS spectra of CO-PdCl2 system; Figure S3: RRS spectra of CO-HAuCl4-glucose nanocatalytic system; Figure S4: RRS spectra of CO-HAuCl4-glycerol system; Figure S5: RRS spectra of CO-HAuCl4-citrate system; Figure S6: Effect of reaction conditions including reagent concentration, reaction temperature and time on the ΔI value. Table S1: Comparison of some reported methods for CO; Table S2: The effect of coexistence on the determination of CO.

Author Contributions

G.W., and A.L. supervision; Z.J. proposed the concept and designed the experiment; D.Y., and L.G. contributed to the measurement results; C.L., and D.Y. wrote the original draft. G.W. and D.Y. were equality to the work. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 21667006, 21767004) and the Natural Science Foundation of Guangxi Province (No. 2018GXNSFAA138019).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Shi, W.; Zhang, X.; He, S.; Li, J.; Huang, Y. Fast screening of the nanoparticles-based enzyme mimetics by a chemiluminescence method. Sci. Sin. Chim. 2013, 43, 1591–1598. [Google Scholar] [CrossRef]
  2. Chang, C.C.; Chen, C.P.; Wu, T.H.; Yang, C.H.; Lin, C.W.; Chen, C.Y. Gold nanoparticle-based Colorimetric Strategies for chemical and biological sensing applications. Nanomaterials 2019, 9, 861. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Mandal, T.K.; Hou, Y.; Gao, Z.; Ning, H.; Yang, W.; Gao, M. Graphene oxide-based Sensor for ultrasensitive visual detection of fluoride. Adv. Sci. 2016, 3, 1600217–1600222. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Chen, H.Y.; Qiu, Q.M.; Sharif, S.; Ying, S.N.; Wang, Y.X.; Ying, Y.B. Solution-phase synthesis of platinum nanoparticle-decorated metal-organic framework hybrid nanomaterials as biomimetic nano-enzymes for biosensing applications. ACS Appl. Mater. Interfaces 2018, 10, 24108–24115. [Google Scholar] [CrossRef]
  5. Gao, L.Z.; Zhuang, J.; Nie, L. Intrinsic peroxidase-like activity of ferromagnetic nanoparticles. Nat. Nanotechnol. 2007, 2, 577–583. [Google Scholar] [CrossRef]
  6. Wu, T.T.; Ma, Z.Y.; Li, P.P.; Lu, Q.J.; Liu, M.L.; Li, H.T.; Zhang, Y.Y.; Yao, S.Z. Bifunctional colorimetric biosensors via regulation of the dual nano-enzyme activity of carbonized FeCo-ZIF. Sens. Actuators B 2019, 290, 357–363. [Google Scholar] [CrossRef]
  7. Li, Y.; Ma, Q.; Liu, Z.P.; Wang, X.Y.; Su, X.G. A novel enzyme-mimic nanosensor based on quantum dot-Au nanoparticle@silica mesoporous microsphere for the detection of glucose. Anal. Chim. Acta 2014, 840, 68–74. [Google Scholar] [CrossRef]
  8. Zeng, H.H.; Qiu, W.B.; Zhang, L.; Liang, R.P.; Qiu, J.D. Lanthanide coordination polymer nanoparticles as an excellent artificial peroxidase for hydrogen peroxide detection. Anal. Chem. 2016, 88, 6342–6348. [Google Scholar] [CrossRef]
  9. Jiang, X.; Sun, C.J.; Guo, Y. Peroxidase-like activity of apoferritin paired gold clusters for glucose detection. Biosens. Bioelectron. 2015, 64, 165–170. [Google Scholar] [CrossRef]
  10. Liu, J.B.; Hu, X.N.; Hou, S. Au@Pt core/shell nanorods with peroxidase- and ascorbate oxidase-like activities for improved detection of glucose. Sens. Actuators B 2012, 166–167, 708–714. [Google Scholar] [CrossRef]
  11. Liang, A.H.; Li, C.N.; Li, D.; Luo, Y.H.; Wen, G.Q.; Jiang, Z.L. A facile and sensitive peptide-modulating graphene oxide nanoribbon catalytic nanoplasmon analytical platform for human chorionic gonadotropin. Inter. J. Nanomed. 2017, 12, 8725–8734. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Li, C.N.; Peng, Y.T.; Wang, H.D.; Liang, A.H.; Jiang, Z.L. A nanosol SERS method for quantitative analysis of trace potassium based on aptamer recognition and silver nanorod catalysis of Ag(I)-glucose reaction. Sens. Actuators B 2019, 281, 53–59. [Google Scholar] [CrossRef]
  13. Xu, M.; Tu, G.; Ji, M.; Wan, X.; Liu, J.; Liu, J.; Rong, H.; Yang, Y.; Wang, C.; Zhang, J. Vacuum-tuned-atmosphere induced assembly of Au@Ag core/shell nanocubes into multi-dimensional superstructures and the ultrasensitive IAPP proteins SERS detection. Nano Res. 2019, 12, 1375–1379. [Google Scholar] [CrossRef]
  14. Li, D.; Li, C.N.; Liang, A.H.; Jiang, Z.L. SERS and fluorescence dual-mode sensing trace hemin and K+ based on Gquarplex/hemin DNAzyme catalytic amplification. Sens. Actuators B 2019, 297, 126799. [Google Scholar] [CrossRef]
  15. Ji, W.; Li, L.; Song, W.; Wang, X.; Zhao, B.; Ozaki, Y. Enhanced Raman scattering by ZnO superstructures: Synergistic effect of charge transfer and mie resonances. Angew. Chem. Int. Ed. 2019, 58, 14773. [Google Scholar] [CrossRef]
  16. Zhou, X.; Liu, G.Q.; Zhang, H.W.; Li, Y.; Cai, W.P. Porous zeolite imidazole framework-wrapped urchin-like Au-Ag nanocrystals for SERS detection of trace hexachlorocyclohexane pesticides via efficient enrichment. J. Hazard. Mater. 2019, 368, 429–435. [Google Scholar] [CrossRef] [PubMed]
  17. Pandeeswar, M.; Rohilla, S.; Ahmad, E.K.; Selvakannan, R.P.; Ylias, M.S.; Chilakapati, M.; Suresh, K.B.; Thimmaiah, G. SERS and fluorescence-based ultrasensitive detection of mercury in water. Biosens. Bioelectron. 2018, 100, 556–564. [Google Scholar]
  18. Ren, W.; Zhang, Y.; Fan, Y.Z.; Dong, J.X.; Li, N.B.; Luo, H.Q. A resonance Rayleigh scattering sensor for detection of Pb2+ ions via cleavage-induced G-wire formation. J. Hazard. Mater. 2017, 336, 195–201. [Google Scholar] [CrossRef]
  19. Wang, H.; Huang, X.; Wen, G.; Jiang, Z.L. A dual-model SERS and RRS analytical platform for Pb(II) based on Ag-doped carbon dot catalytic amplification and aptamer regulation. Sci. Rep. 2019, 9, 9991. [Google Scholar] [CrossRef]
  20. Jiang, Z.L.; Liao, X.J.; Deng, A.P.; Liang, A.H.; Li, J.S.; Pan, H.C.; Li, J.F.; Wang, S.M.; Huang, Y.J. Catalytic effect of nanogold on Cu(II)-N2H4 reaction and its application to resonance scattering immunoassay. Anal. Chem. 2008, 80, 8681–8687. [Google Scholar] [CrossRef]
  21. Liang, A.H.; Zhang, Y.; Fan, Y.Y.; Chen, Q.; Wen, G.Q.; Liu, Q.Y.; Kang, C.Y.; Jiang, Z.L. Catalysis of aptarmer-modified AuPdNPs nanoalloy probe and its application to resonance scattering detection of trace UO22+. Nanoscale 2011, 3, 3178–3184. [Google Scholar] [CrossRef] [PubMed]
  22. Ren, W.; Zhang, Y.; Chen, H.G.; Gao, Z.F.; Li, N.B.; Luo, H.Q. Ultrasensitive label-free resonance Rayleigh scattering aptasensor for Hg2+ using Hg2+-triggered exonuclease III-assisted target recycling and growth of G-wires for signal amplification. Anal. Chem. 2016, 88, 1385–1390. [Google Scholar] [CrossRef] [PubMed]
  23. Zhou, J.; Ling, Y.; Li, N.B.; Luo, H.Q. Fluorometric and resonance Rayleigh scattering dual-mode bioprobe for determination of the activity of alkaline phosphatase based on the use of CoOOH nanoflakes and cobalt(II)-dependent DNAzyme-assisted amplification. Microchim. Acta 2019, 186, 437. [Google Scholar] [CrossRef] [PubMed]
  24. Wang, X.Y.; Jiang, X.; Zhang, Z.H.; Li, J.; Liang, A.H.; Jiang, Z.L. A fluorescence and resonance Rayleigh scattering di-model probe was developed for trace K+ coupled N-doped carbon dot and aptamer. J. Lumin. 2019, 214, 116559. [Google Scholar] [CrossRef]
  25. Wen, G.Q.; Yang, D.; Jiang, Z.L. A new resonance Rayleigh scattering spectral method for determination of O3 with victoria blue B. Spectrochim. Acta Part A 2014, 117, 170–174. [Google Scholar] [CrossRef]
  26. Guo, Z.P. The pollution and detection of carbon monoxide. Environ. Sci. Techn. 2000, 13, 44. [Google Scholar]
  27. Phawachalotorn, C.; Sanguanruang, O.; Ishihara, T. Highly selective amperometric sensors for carbon monoxide detection in exhaust gas. Sens. Actuators B 2012, 161, 635–640. [Google Scholar] [CrossRef]
  28. Blondeau-Patissier, V.; Vanotti, M.; Pretre, T.; Rabus, D.; Tortora, L.; Barbe, J.M.; Ballandras, S. Detection and monitoring of carbon monoxide using cobalt corroles film on love wave devices with delay line configuration. Procedia Eng. 2011, 25, 1085–1088. [Google Scholar] [CrossRef]
  29. Kim, B.; Lu, Y.J.; Hannon, A.; Meyyappan, M.; Li, J. Low temperature Pd/SnO2 sensor for carbon monoxide detection. Sens. Actuators B 2013, 177, 770–775. [Google Scholar] [CrossRef]
  30. Boehm, G.; Bachmann, A.; Rosskopf, J.; Ortsiefer, M.; Chen, J.; Hangauer, A.; Meyer, R.; Strzoda, R.; Amann, M.C. Comparison of InP- and GaSb-based VCSELs emitting at 2.3 μm suitable for carbon monoxide detection. J. Crystal Growth 2011, 323, 442–445. [Google Scholar] [CrossRef]
  31. Wang, R.X.; Zhang, D.J.; Liu, C.B. The germanium-doped boron nitride nanotube serving as a potential resource for the detection of carbon monoxide and nitric oxide. Comput. Mater. Sci. 2014, 82, 361–366. [Google Scholar] [CrossRef]
  32. Ghosh, S.; Narjinary, M.; Sen, A.; Bandyopadhyay, R.; Roy, S. Fast detection of low concentration carbon monoxide using calcium-loaded tin oxide sensors. Sens. Actuators B 2014, 203, 490–496. [Google Scholar] [CrossRef]
  33. Chen, D.; Sun, Y.; Li, J.; Ren, J. Determination of carbon monoxide content in water during euthanasia of tilapia by dual-wavelength spectrophotometry method. Food Sci. Technol. 2011, 36, 283–286. [Google Scholar]
  34. Chen, C.; Ren, Q.; Piao, H.; Wang, P.; Wang, Y. A trace carbon monoxide sensor based on differential absorption spectroscopy using mid-infrared quantum cascade laser. Micromachines 2018, 9, 670. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Zoltan, B.; Andras, G.; Krisztian, H.; Janos, M. Determination of carbon monoxide concentration and total pressure in gas cavities in the silica glass body of light bulbs by FT-IR spectrometry. Anal. Chem. 2006, 78, 2382–2387. [Google Scholar]
  36. Wang, P.; Huang, L.; Zhou, Y.; Zhao, H.; Fang, Y.; Xue, C. Determination of carbon monoxide in aquatic products by headspace gas chromatography. J. Zhejiang Ocean Univ. 2012, 31, 518–520. [Google Scholar]
  37. Wang, Z.; Liu, C.; Wang, X.; Duan, Q.; Jia, P.; Zhu, H.; Li, Z.; Zhang, X.; Ren, X.; Zhu, B.; et al. A metal-free near-infrared fluorescent probe for tracking the glucose induced fluctuations of carbon monoxide in living cells and zebrafish. Sens. Actuators B 2019, 291, 329–336. [Google Scholar] [CrossRef]
  38. Hao, H.X.; Zhou, H.; Liu, X.P.; Zhang, Z.; Yu, Z.S. An accurate method for microanalysis of carbon monoxide in putrid postmortem blood by head-space gas chromatography-mass spectrometry (HS/GC/MS). Forensic Sci. Int. 2013, 229, 116–121. [Google Scholar] [CrossRef]
  39. Dean, J.A. Lange’s Handbook of Chemistry, 15th ed.; MeGraw-Hill: New York, NY, USA, 1999. [Google Scholar]
  40. Dong, L.; Lewicki, R.; Liu, K.; Buerki, P.R.; Weida, M.J.; Tittel, F.K. Ultra-sensitive carbon monoxide detection by using EC-QCL based quartz-enhanced photoacoustic spectroscopy. Appl. Phys. B 2012, 107, 275–283. [Google Scholar] [CrossRef]
  41. Zhang, Y.; Cui, S.M.; Chang, J.B.; Leonidas, E.O.; Chen, J.H. Highly sensitive room temperature carbon monoxide detection using SnO2 nanoparticle-decorated semiconducting single–walled carbon nanotubes. Nanotechnology 2013, 24, 477–487. [Google Scholar]
  42. Khalil, A.I.; Gondal, A.M.; Al-Suliman, N. Resonant photo-acoustic detection of carbon monoxide with UV Laser at 213 nm. Appl. Phys. B 2011, 103, 441–450. [Google Scholar] [CrossRef]
  43. Antonaroli, S.; Crociani, B.; Natale, C.D.; Nardis, S.; Stefanelli, M.; Paolesse, R. Palladium complexes based nano gravimetric sensors for carbon monoxide detection. Sens. Actuators B 2015, 208, 334–338. [Google Scholar] [CrossRef]
  44. Selvapathy, P. Rapid spectrophotometric determination of carbon monoxide in ambient air. Environ. Protection Xinjiang 1992, 14, 44–48. [Google Scholar] [CrossRef]
Figure 1. Analytical principle of SERS/RRS coupled di-mode determination of CO by nanogold catalytic amplification.
Figure 1. Analytical principle of SERS/RRS coupled di-mode determination of CO by nanogold catalytic amplification.
Nanomaterials 10 00450 g001
Figure 2. SERS spectra of (A) CO-HAuCl4-VBB and (B) CO-HAuCl4-En-VBB systems. (A), a: 0.24 mmol/L pH 5.2 HAc-NaAc + 50.2 µg/mL HAuCl4 + 0.76 µmol/L VBB + 5.9 mmol/L NaCl; b: a + 0.03 µg/mL CO; c: a + 0.13 µg/mL CO; d: a + 0.31 µg/mL CO; e: a + 2.62 µg/mL CO; f: a + 3.92 µg/mL CO; g: a + 5.23 µg/mL CO. (B), a: 0.24 mmol/L pH 5.2 HAc-NaAc + 10.6% En + 0.58 mmol/L HCl + 52.9 µg/mL HAuCl4 + 0.76 µmol/L VBB + 5.9 mmol/L NaCl; b: a + 13.8 ng/mL CO; c: a + 27.5 ng/mL CO; d: a + 68.9 ng/mL CO; e: a + 137.7 ng/mL CO; f: a + 275.4 ng/mL CO; g: a + 413.2 ng/mL CO.
Figure 2. SERS spectra of (A) CO-HAuCl4-VBB and (B) CO-HAuCl4-En-VBB systems. (A), a: 0.24 mmol/L pH 5.2 HAc-NaAc + 50.2 µg/mL HAuCl4 + 0.76 µmol/L VBB + 5.9 mmol/L NaCl; b: a + 0.03 µg/mL CO; c: a + 0.13 µg/mL CO; d: a + 0.31 µg/mL CO; e: a + 2.62 µg/mL CO; f: a + 3.92 µg/mL CO; g: a + 5.23 µg/mL CO. (B), a: 0.24 mmol/L pH 5.2 HAc-NaAc + 10.6% En + 0.58 mmol/L HCl + 52.9 µg/mL HAuCl4 + 0.76 µmol/L VBB + 5.9 mmol/L NaCl; b: a + 13.8 ng/mL CO; c: a + 27.5 ng/mL CO; d: a + 68.9 ng/mL CO; e: a + 137.7 ng/mL CO; f: a + 275.4 ng/mL CO; g: a + 413.2 ng/mL CO.
Nanomaterials 10 00450 g002
Figure 3. RRS spectra of (A) CO-HAuCl4 system and (B) CO-HAuCl4-En catalytic system. (A) a: pH 5.2 HAc-NaAc +13.3 µg/mL HAuCl4; b: a + 173.5 ng/mL CO; c: a + 520.6 ng/mL CO; d: a + 1735.3 ng/mL CO; e: a + 3470.7 ng/mL CO; f: a + 6941.3 ng/mL CO; g: a + 10412.0 ng/mL CO; h: a + 12147.3 ng/mL CO. (B) a: pH 5.2 HAc-NaAc + 10.6% En + 0.58 mmol/L HCl + 66.6 µg/mL HAuCl4; b: a + 13.8 ng/mL CO; c: a + 27.5 ng/mL CO; d: a + 68.9 ng/mL CO; e: a + 137.7 ng/mL CO; f: a + 275.4 ng/mL CO; g: a + 413.2 ng/mL CO.
Figure 3. RRS spectra of (A) CO-HAuCl4 system and (B) CO-HAuCl4-En catalytic system. (A) a: pH 5.2 HAc-NaAc +13.3 µg/mL HAuCl4; b: a + 173.5 ng/mL CO; c: a + 520.6 ng/mL CO; d: a + 1735.3 ng/mL CO; e: a + 3470.7 ng/mL CO; f: a + 6941.3 ng/mL CO; g: a + 10412.0 ng/mL CO; h: a + 12147.3 ng/mL CO. (B) a: pH 5.2 HAc-NaAc + 10.6% En + 0.58 mmol/L HCl + 66.6 µg/mL HAuCl4; b: a + 13.8 ng/mL CO; c: a + 27.5 ng/mL CO; d: a + 68.9 ng/mL CO; e: a + 137.7 ng/mL CO; f: a + 275.4 ng/mL CO; g: a + 413.2 ng/mL CO.
Nanomaterials 10 00450 g003
Figure 4. Absorption spectra of CO-HAuCl4 system (A) and CO-HAuCl4-En catalytic system (B). (A) a: pH 5.2 HAc-NaAc + 13.3 μg/mL HAuCl4; b: a + 0.25 μg/mL CO; c: a + 0.5 μg/mL CO; d: a + 1.0 μg/mL CO; e: a + 1.5 μg/mL CO; f: a + 2.0 μg/mL CO; g: a + 2.5 μg/mL CO; h: a + 3.125 μg/mL CO. (B) a: 0.24 mmol/L pH 5.2 HAc-NaAc +10.6% En + 0.58 mmol/L HCl + 66.6 µg/mL HAuCl4; b: a + 0.01 µg/mL CO; c: a + 0.03 µg/mL CO; d: a + 0.07 µg/mL CO; e: a + 0.41 µg/mL CO; f: a + 0.69 µg/mL CO.
Figure 4. Absorption spectra of CO-HAuCl4 system (A) and CO-HAuCl4-En catalytic system (B). (A) a: pH 5.2 HAc-NaAc + 13.3 μg/mL HAuCl4; b: a + 0.25 μg/mL CO; c: a + 0.5 μg/mL CO; d: a + 1.0 μg/mL CO; e: a + 1.5 μg/mL CO; f: a + 2.0 μg/mL CO; g: a + 2.5 μg/mL CO; h: a + 3.125 μg/mL CO. (B) a: 0.24 mmol/L pH 5.2 HAc-NaAc +10.6% En + 0.58 mmol/L HCl + 66.6 µg/mL HAuCl4; b: a + 0.01 µg/mL CO; c: a + 0.03 µg/mL CO; d: a + 0.07 µg/mL CO; e: a + 0.41 µg/mL CO; f: a + 0.69 µg/mL CO.
Nanomaterials 10 00450 g004
Figure 5. Mechanism of the AuNP catalysis of En reduction of Au3+.
Figure 5. Mechanism of the AuNP catalysis of En reduction of Au3+.
Nanomaterials 10 00450 g005
Figure 6. The SEM and energy spectral pictures. (A) pH 5.2 buffer + 13.3 μg/mL HAuCl4 + 1.0 μg/mL CO; (B) pH 5.2 buffer + 66.6 μg/mL HAuCl4 + 1.0 μg/mL CO + 10.6% En.
Figure 6. The SEM and energy spectral pictures. (A) pH 5.2 buffer + 13.3 μg/mL HAuCl4 + 1.0 μg/mL CO; (B) pH 5.2 buffer + 66.6 μg/mL HAuCl4 + 1.0 μg/mL CO + 10.6% En.
Nanomaterials 10 00450 g006
Table 1. Analysis features of RRS and absorption methods for CO.
Table 1. Analysis features of RRS and absorption methods for CO.
SystemMethodsRegression EquationLR (ng/mL)CoefficientDL (ng/mL)
HAuCl4SERSΔI = 0.019C + 7.430–52300.959820 ± 0.04
RRSΔI = 0.0068C + 8.8100–1500 0.955880 ± 0.13
HAuCl4-EnSERSΔI = 3.33C + 63.95.0–413 0.98003 ± 0.02
RRSΔI = 2.84C + 45.810–413 0.98176 ± 0.05
Di-modeΔI = 6.33C + 623.0–4130.98511 ± 0.02
LR: linear range; DL: detection limit.
Table 2. Sample analysis results.
Table 2. Sample analysis results.
SamplesSampling Temperature (°C)Measured Value
(mg/m3)
Average
(mg/m3)
RSD
(%)
Ref. Results
(mg/m3)
118Not detectedNot detected-Not detected
220Not detectedNot detected-Not detected
318Not detectedNot detected-Not detected
4200.0076 0.0074 0.0073 0.0075 0.00730.007521.80.00810
5200.0039 0.004 0.0038 0.0039 0.00410.003942.60.0035
6180.0011 0.0012 0.0012 0.0011 0.00120.001164.20.00120

Share and Cite

MDPI and ACS Style

Yao, D.; Wen, G.; Gong, L.; Li, C.; Liang, A.; Jiang, Z. A Highly Sensitive SERS and RRS Coupled Di-Mode Method for CO Detection Using Nanogolds as Catalysts and Bifunctional Probes. Nanomaterials 2020, 10, 450. https://doi.org/10.3390/nano10030450

AMA Style

Yao D, Wen G, Gong L, Li C, Liang A, Jiang Z. A Highly Sensitive SERS and RRS Coupled Di-Mode Method for CO Detection Using Nanogolds as Catalysts and Bifunctional Probes. Nanomaterials. 2020; 10(3):450. https://doi.org/10.3390/nano10030450

Chicago/Turabian Style

Yao, Dongmei, Guiqing Wen, Lingbo Gong, Chongning Li, Aihui Liang, and Zhiliang Jiang. 2020. "A Highly Sensitive SERS and RRS Coupled Di-Mode Method for CO Detection Using Nanogolds as Catalysts and Bifunctional Probes" Nanomaterials 10, no. 3: 450. https://doi.org/10.3390/nano10030450

APA Style

Yao, D., Wen, G., Gong, L., Li, C., Liang, A., & Jiang, Z. (2020). A Highly Sensitive SERS and RRS Coupled Di-Mode Method for CO Detection Using Nanogolds as Catalysts and Bifunctional Probes. Nanomaterials, 10(3), 450. https://doi.org/10.3390/nano10030450

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop