Single-crystal sapphire-fiber optic sensors based on surface plasmon resonance spectroscopy for in situ monitoring

Single-crystal sapphire-fiber optic sensors based on surface plasmon resonance (SPR) for refractive index (RI) measurements of aqueous and hydrothermal water solutions are described. Accurate measurement of RIs is essential to efficient operation and control of broad range of engineering processes. Some of these processes are carried out with harsh environments, such as high-temperature, high pressure, and chemical corrosion. These extreme physical conditions are proving a limiting factor in application of the conventional silica-based optical sensors. Single-crystal sapphire is an ideal material for sensor applications, where reliable performance is required in the extreme environment conditions. With regard to the liquid species detection, most applications of SPR sensors are designed to function near the refractive index of water (1.3330 RI). The RI changes of aqueous solution can be easily monitored by silica-fiber (RI, 1.4601 at 550 nm) based SPR sensor. However, the sapphire waveguide has a prohibitively high RI (1.7708 at 546 nm) for unmodified monitoring of the RI changes of aqueous solutions. For that purpose, a practical SPR probe geometry has been applied to the ability to tune the SPR coupling wavelength/angle pair with sapphire-fiber based SPR probe.     

Revealing the properties of oils from their dissolved hydrocarbon compounds in water with an integrated sensor array system

This paper presents a system and method developed to identify a source oil's characteristic properties by testing the oil's dissolved components in water. Through close examination of the oil dissolution process in water, we hypothesise that when oil is in contact with water, the resulting oil-water extract, a complex hydrocarbon mixture, carries the signature property information of the parent oil. If the dominating differences in compositions between such extracts of different oils can be identified, this information could guide the selection of various sensors, capable of capturing such chemical variations. When used as an array, such a sensor system can be used to determine parent oil information from the oil-water extract. To test this hypothesis, 22 oils' water extracts were prepared and selected dominant hydrocarbons analyzed with Gas Chromatography-Mass Spectrometry (GC-MS); the subsequent Principal Component Analysis (PCA) indicates that the major difference between the extract solutions is the relative concentration between the volatile mono-aromatics and fluorescent polyaromatics. An integrated sensor array system that is composed of 3 volatile hydrocarbon sensors and 2 polyaromatic hydrocarbon sensors was built accordingly to capture the major and subtle differences of these extracts. It was tested by exposure to a total of 110 water extract solutions diluted from the 22 extracts. The sensor response data collected from the testing were processed with two multivariate analysis tools to reveal information retained in the response patterns of the arrayed sensors: by conducting PCA, we were able to demonstrate the ability to qualitatively identify and distinguish different oil samples from their sensor array response patterns. When a supervised PCA, Linear Discriminate Analysis (LDA), was applied, even quantitative classification can be achieved: the multivariate model generated from the LDA achieved 89.7% of successful classification of the type of the oil samples. By grouping the samples based on the level of viscosity and density we were able to reveal the correlation between the oil extracts' sensor array responses and their original oils' feature properties. The equipment and method developed in this study have promising potential to be readily applied in field studies and marine surveys for oil exploration or oil spill monitoring.     

基于金银合金薄膜的波长检测型表面等离子体共振传感器

从实验和理论两方面详细研究了金银合金膜表面等离子体共振(SPR)传感器在可见光波段的敏感特性.实验方面,通过在玻璃基底上溅射50 nm厚的金银合金薄膜制备了一种新型的SPR传感芯片,并且自行搭建了基于Kretschmann结构的波长检测型SPR传感器测试平台.利用不同浓度的氯化钠(NaCl)水溶液和浓度为10μmol·L-1的牛血清蛋白(BSA)水溶液分别作为折射率样品和分子吸附样品,研究了传感器的折射率灵敏度和吸附灵敏度,并与金膜和银膜SPR传感器进行了对比研究.结果表明,对于折射率灵敏度的测试,金银合金膜SPR传感器大幅高于金膜SPR传感器,略低于银膜SPR传感器;而对于吸附敏感的研究,金银合金膜SPR传感器的灵敏度与银膜SPR传感器相近,是金膜SPR传感器的3倍.理论方面,利用菲涅尔公式和等效折射率计算公式仿真计算了这三种薄膜结构的SPR传感器的灵敏度和精确度,结果指出金银合金膜SPR传感器的灵敏度与银膜SPR传感器接近,是常规金膜SPR传感器的2.31倍,而半高峰宽仅为金膜和银膜SPR传感器的1.36倍.在稳定性方面,金银合金膜SPR传感器与金膜SPR传感器均具有良好的化学稳定性,而银膜SPR传感器较易氧化,使用寿命低,不常被采用.综上,金银合金膜在改善传感器灵敏度的同时,不会降低精度,是一种高灵敏、低成本、良好稳定性的SPR传感器敏感材料.     

Resistive gas sensors based on the composites of nanostructured carbonized polyaniline and Nafion

Due to constant necessity to have reliable and sensitive gas sensors in many contemporary technologies, there is a permanent need for development of new sensing platforms with good sensing properties. Here, we demonstrate a novel type of resistive gas sensors based on carbonized polyaniline/Nafion composites. The sensing mechanism of such sensors is based on the sorption of gases by the composites which induce Nafion swelling and decreasing of conductivity. Chemosensitive properties can be tuned by the (i) choice of carbon materials with different conductivities, (ii) Nafion content in the composite, and (iii) thickness of the composite layer. We have shown that the sensors respond to water, acetone, ethanol, and methanol vapors. For the last two cases, we have achieved high sensitivity, fast response, wide concentration range, and good recovery. The use of simultaneous two- and four-point techniques for these sensors provides an internal control of the sensor integrity.     

基于金银合金薄膜的波长检测型表面等离子体共振传感器

从实验和理论两方面详细研究了金银合金膜表面等离子体共振（SPR）传感器在可见光波段的敏感特性. 实验方面,通过在玻璃基底上溅射50 nm厚的金银合金薄膜制备了一种新型的SPR传感芯片,并且自行搭建了基于Kretschmann 结构的波长检测型SPR传感器测试平台. 利用不同浓度的氯化钠（NaCl）水溶液和浓度为10 μmol·L^-1的牛血清蛋白（BSA）水溶液分别作为折射率样品和分子吸附样品,研究了传感器的折射率灵敏度和吸附灵敏度,并与金膜和银膜SPR传感器进行了对比研究. 结果表明,对于折射率灵敏度的测试,金银合金膜SPR传感器大幅高于金膜SPR传感器,略低于银膜SPR传感器;而对于吸附敏感的研究,金银合金膜SPR传感器的灵敏度与银膜SPR传感器相近,是金膜SPR传感器的3倍. 理论方面,利用菲涅尔公式和等效折射率计算公式仿真计算了这三种薄膜结构的SPR传感器的灵敏度和精确度,结果指出金银合金膜SPR传感器的灵敏度与银膜SPR传感器接近,是常规金膜SPR传感器的2.31倍,而半高峰宽仅为金膜和银膜SPR传感器的1.36 倍. 在稳定性方面,金银合金膜SPR传感器与金膜SPR传感器均具有良好的化学稳定性,而银膜SPR传感器较易氧化,使用寿命低,不常被采用. 综上,金银合金膜在改善传感器灵敏度的同时,不会降低精度,是一种高灵敏、低成本、良好稳定性的SPR传感器敏感材料.     

Fiber-optic surface plasmon resonance for vapor phase analyses

Fiber-optic sensors based on surface plasmon resonance (SPR) for direct refractive index (RI) measurements of samples with the RI between 1.00 and 1.30 are described. Most applications of SPR sensors are designed to function near the refractive index of water (1.3330 RI). The RI changes of aqueous solution (RI, ca. 1.34) can easily be monitored by silica-fiber (RI, 1.4601 at 550 nm) based SPR sensor. With regard to gas species detection, the fiber-optic SPR sensor must be modified for sensitivity to changes in refractive index near 1.0008 (i.e., RI of air). However, the silica waveguide has a prohibitively high RI for unmodified monitoring of the RI changes of gas. The silica-fiber based SPR probe design presented here is based upon the modification of the probe geometry to the ability to tune the SPR coupling wavelength/angle pair. In this study, the tapered silica-based fiber SPR sensors are shown to directly determine the RI changes of gas species and the density change of dry air.     

Gas sensor array based on metal-decorated carbon nanotubes

Here we demonstrate design, fabrication, and testing of electronic sensor array based on single-walled carbon nanotubes (SWNTs). Multiple sensor elements consisting of isolated networks of SWNTs were integrated into Si chips by chemical vapor deposition (CVD) and photolithography processes. For chemical selectivity, SWNTs were decorated with metal nanoparticles. The differences in catalytic activity of 18 catalytic metals for detection of H(2), CH(4), CO, and H(2)S gases were observed. Furthermore, a sensor array was fabricated by site-selective electroplating of Pd, Pt, Rh, and Au metals on isolated SWNT networks located on a single chip. The resulting electronic sensor array, which was comprised of several functional SWNT network sensors, was exposed to a randomized series of toxic/combustible gases. Electronic responses of all sensor elements were recorded and the sensor array data was analyzed using pattern-recognition analysis tools. Applications of these small-size, low-power, electronic sensor arrays are in the detection and identification of toxic/combustible gases for personal safety and air pollution monitoring.     

Selection of a piezoelectric sensor array for detecting volatile organic substances in water

Sensitive coatings for piezoelectric sensors used to assess the presence of anthropogenic volatile organic substances in the equilibrium gas phase over natural water have been selected using an array of measuring elements, and the data have been processed using principal component analysis. Groups of piezoelectric sensors with similar characteristics for substance identification have been determined based on the correlation between piezoelectric sensor responses when vapors of organic substances were detected. The stepby-step optimization of the piezoelectric sensor array has been carried out in order to identify the greatest number of organic compounds (vapors) in the sample. Volatile organic compounds can be identified in their aqueous solutions and natural water using the optimized piezoelectric sensor array.     

Data analysis for electronic nose systems

Electronic noses (e-noses) employ an array of chemical gas sensors and have been widely used for the analysis of volatile organic compounds. Pattern recognition provides a higher degree of selectivity and reversibility to the systems leading to an extensive range of applications. These range from the food and medical industry to environmental monitoring and process control. Many types of data analysis techniques have been used on the data produced. This review covers aspects of analysis from data normalisation methods to pattern recognition and classification techniques. An overview of data visualisation such as non-linear mapping and multivariate statistical techniques is given. Focus is then on the use of artificial intelligence techniques such as neural networks and fuzzy logic for classification and genetic algorithms for feature (sensor) selection. Application areas are covered with examples of the types of systems and analysis methods currently in use. Future trends in the analysis of sensor array data are discussed.     

Present and future of surface plasmon resonance biosensors

Surface plasmon resonance (SPR) biosensors are optical sensors exploiting special electromagnetic waves—surface plasmon-polaritons—to probe interactions between an analyte in solution and a biomolecular recognition element immobilized on the SPR sensor surface. Major application areas include detection of biological analytes and analysis of biomolecular interactions where SPR biosensors provide benefits of label-free real-time analytical technology. This paper reviews fundamentals of SPR affinity biosensors and discusses recent advances in development and applications of SPR biosensors.     

Surface plasmon resonance sensors for real-time detection of cyclic citrullinated peptide antibodies

Surface plasmon resonance (SPR) sensors have been used for detection of various biomolecules because of their simplicity, high specificity and sensitivity, real-time detection, low cost, and no requirement of labeling. Recently, molecularly imprinted polymers that are easy to prepare, less expensive, stable, have talent for molecular recognition and also are used for creation selective binding sites for target molecule on the SPR sensors. Here, we show that preparation of cyclic citrullinated peptide antibody (anti-CCP) imprinted SPR sensor to detect CCP antibodies. For this purpose, anti-CCP/AAm pre-complex was synthesized by interacting acrylamide (AAm) monomer with anti-CCP. Then, anti-CCP imprinted (anti-CCP/PAAm) SPR sensor was obtained by reacting with anti-CCP/AAm pre-complex in the presence of the crosslinker, and initiator/activator pair. Besides this, non-imprinted (PAAm) SPR sensor was also prepared without using anti-CCP template. The SPR sensors were characterized and then adsorption-desorption studies were performed with pH 7.0 phosphate buffer (10 mM) and acetic acid (10%) with Tween 20 (1%) in pH 7.0 phosphate buffer. Selectivitiy of sensors was investigated by using immunoglobulin M (IgM) and bovine serum albumin (BSA). To determine the adsorption model of interactions between anti-CCP solutions and anti-CCP/PAAm SPR sensor, different adsorption models were performed. The calculated maximum reflection, detection limit, association and dissociation constants were 1.079 RU/mL, 0.177 RU/mL, 0.589 RU/mL and 1.697 mL/RU, respectively. Repeatability experiments of anti-CCP/PAAm SPR sensor was performed four times with adsorption-desorption-regeneration cycles without any performance losing. Results showed that anti-CCP/PAAm SPR sensor had high selectivity and sensitivity for detection of CCP antibodies.     

Analysis of clogging in constructed wetlands using magnetic resonance

In this work we demonstrate the potential of permanent magnet based magnetic resonance sensors to monitor and assess the extent of pore clogging in water filtration systems. The performance of the sensor was tested on artificially clogged gravel substrates and on gravel bed samples from constructed wetlands used to treat wastewater. Data indicate that the spin lattice relaxation time is linearly related to the hydraulic conductivity in such systems. In addition, within biologically active filters we demonstrate the ability to determine the relative ratio of biomass to abiotic solids, a measurement which is not possible using alternative techniques.     

Polymerized crystalline colloidal array chemical-sensing materials for detection of lead in body fluids

We have developed intelligent polymerized crystalline colloidal array (IPCCA) chemical-sensing materials for detection of Pb(2+) in high ionic-strength environments such as body fluids with a detection limit of <500 nmol L(-1) Pb(2+) (100 ppb). This IPCCA lead sensor consists of a mesoscopically periodic array of colloidal particles polymerized into an acrylamide hydrogel. The array Bragg-diffracts light in the visible spectral region because of the periodic spacing of the colloidal particles. This material also contains a crown ether chelating agent for Pb(2+). Chelation of Pb(2+) by the IPCCA in low-ionic-strength solutions results in a Donnan potential that swells the gel, which red-shifts the diffracted light in proportion to the Pb(2+) concentration. At high ionic strength the Donnan potential is, unfortunately, swamped and no static response occurs for these sensors. We demonstrate, however, that we can determine Pb(2+) at high ionic strength by incubating these IPCCA in a sample solution and then measuring their transient response on exposure to pure water. The non-complexed ions diffuse from the IPCCA faster than the bound Pb(2+). The resulting transient IPCCA diffraction red-shift is proportional to the concentration of Pb(2+) in the sample. These IPCCA sensors can thus be used as sensing materials in optrodes to determine Pb(2+) in high-ionic-strength solutions such as body fluids.     

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

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.     

Smart nano-architectures as potential sensing tools for detecting heavy metal ions in aqueous matrices

The discharge of heavy metal ions into water resources as a result of human activities has become a global issue. Contamination with heavy metal ions poses a major threat to the environment and human health. Therefore, there is a dire need to probe the presence of heavy metal ions in a more selective, facile, quick, cost-effective and sensitive way. Conventional sensors are being utilized to sense heavy metal ions; however, various challenges and limitations like interference, overlapping of oxidation potential, selectivity and sensitivity are associated with them that limit their in-field applicability. Hence, nanomaterial based chemical sensors have emerged as an alternative substitute and are extensively employed for the detection of heavy metal ions as a potent analytical tool. The incorporation of nanomaterials in sensors increases their sensitivity, selectivity, portability, on-site detection capability and device performance. Nanomaterial based electrodes exhibit enhanced performance because surface of electrode at nano-scale level offers high catalytic potential, large active surface area and high conductivity. Therefore, this review addresses the recent progress on chemical sensors based on different nanomaterials such as carbon nanotubes (CNTs), metal nanoparticles, graphene, carbon quantum dots and nanocomposites for sensing heavy metals ions using different sensing approaches. Furthermore, various types of optical sensors such as fluorescence, luminescence and colorimetry sensors have been presented in detail.     

Versatile fullerenes as sensor materials

The last century outstanding discovery of fullerenes (or C₆₀), as they are popularly called ‘buckyball’ structured molecules with icosahedral spherical structure, consists of 60 sp^2-hybridized carbon atoms. These fullerenes have created immense applications in various fields, such as catalysts, sensors, photocatalysts, energy production, and storage materials. Fullerenes because of their improved conductivity, charge transfer, and photophysical properties have gained considerable attention, particularly in sensor area. The activity of sensors depends upon the interactions between fullerene and the sensing material. Among all the types of fullerenes, C₆₀ has been extensively used. This review is an attempt to cover different aspects of fullerene-based sensing devices, wherein fullerenes act as important component (s) of the sensor device because of their electron-accepting properties. We will discuss the fullerene-based sensors for diverse applications as strain/gas sensors, electrochemical sensors, and optical sensors as much effort has been recently made to detect different analytes such as gases, volatile organic compounds, metal ions, anions, and biomolecules.     

纳米多孔金膜表面等离子体共振效应的理论分析和传感应用

纳米多孔金膜(NPGF)化学和热力学稳定性好,比表面积大,具有显著的表面等离子体共振(SPR)效应,适宜于用作SPR生化传感芯片。本文对NPGF的SPR效应进行了理论分析,得到了在NPGF/空气界面传播的表面等离子体色散曲线,获得了优化NPGF-SPR传感性能所需的最佳薄膜厚度约为60nm;在此基础上利用溅射沉积-化学脱合金两步法在玻璃基板上制备出大面积均匀的超薄NPGF,采用Krestchmann棱镜耦合结构测试了NPGF在可见-近红外波段的SPR共振光谱及其传感特性,通过利用菲涅耳公式并结合Bruggeman介电常数近似理论对测得的共振波长进行拟合,得出NPGF的孔隙率约为0.38。未经修饰的NPGF是亲水薄膜,能够有效富集水中的双酚A,使得NPGF-SPR传感器对双酚A的探测下限达到5nmol?L~(-1);经过疏水化处理后,NPGF对非极性苯并芘分子的富集能力获得显著增强,使得传感器对苯并芘的探测下限达到1 nmol?L~(-1)。     

Leveraging Material Properties in Fluorescence Anion Sensor Arrays: A General Approach

As the demand for probes suitable for sensor development increases, investigation of approaches that utilize known successful receptors gains in general importance. This study describes a two‐prong approach that can be used as a guide to developing sensors from known receptors. First, the conversion of a simple receptor, calix[4]pyrrole, into a fluorescent probe to establish a ratiometric signal is described. Secondly, the sensors that employ an output from a single ratiometric calix[4]pyrrole probe are fabricated by using poly(ether‐urethane) hydrogel copolymers. These hydrogels are designed to absorb, internalize and transport aqueous electrolytes. A sensor array of ten different poly(ether‐urethane) matrices with varying comonomer proportions were doped with a single probe and were exposed to eight different anions: acetate, benzoate, fluoride, chloride, phosphate, pyrophosphate, hydrogen sulfide, and cyanide, eight urine samples and anti‐inflammatory drugs (NSAIDs). The poly(ether‐urethane) matrices comprise different proportions of anion‐binding urethane moieties and different hydrophilicity given by the ratio between ethylene glycol ether and butylene glycol ether. This diversity in the hydration behavior provides different environment polarity, in which the recognition and self‐assembly processes display enough diverse behavior to allow for unique response of the probe to the analytes. Furthermore, a single probe is shown to recognize eight different aqueous anions and eight urine samples when embedded in ten different polyurethanes in an array that displays 100 % classification accuracy. To demonstrate the potential of the concept for quantitative studies, an estimation of non‐steroidal anti‐inflammatory drugs ibuprofen and diclofenac in water and in saliva was performed. A limit of detection of 0.1 ppm and a dynamic range of 0.1–0.6 and 0.05–60 ppm was observed, respectively. Given the general difficulty of chemosensors to recognize aqueous anions, the fact that one probe recognizes eight different analytes attests to an enormous effect of the polymer environment on the recognition process. This method could be used to generate a variety of sensor arrays for various analyses including species that are difficult to recognize, such as small‐molecule‐ and inorganic anions.     

Influence of salinity and natural organic matter on the solid phase extraction of sterols and stanols: application to the determination of the human sterol fingerprint in aqueous matrices

Faecal sterols have been proposed as direct chemical markers for the determination of faecal contamination in inland and coastal waters. In this study, we assess the impact of (a) the concentration of dissolved organic carbon (DOC), (b) the nature of DOC, (c) the salinity and (d) the concentration of sterols and stanols on their solid phase extraction. When natural organic matter (NOM) is modelled by humic acid, increasing DOC concentration from 2.7 to 15.4 mg/L has no significant impact on the recovery of sterols and stanols. The modelling of NOM by a mixture of humic acid and succinoglycan induces a significant (24%) decrease in the recovery of sterols and stanols. For all concentrations of target compounds, no significant increase in recovery is associated with increasing the salinity. Moreover, an increase in the recovery of target compounds is induced by an increase in their concentration. The nine target compounds and the recovery standard (RS) exhibit the same behaviour during the extraction step. Thus, we propose that (a) the concentration of target compounds can be corrected by the RS to calculate more realistic concentrations without modifying their profile and (b) the sterol fingerprint can be investigated in the colloidal fraction of aqueous samples without altering the information it could provide about the source. The application of this analytical method to waste water treatment plant influent and effluents yields results in agreement with previous studies concerning the use of those compounds to differentiate between sources of faecal contamination. We conclude that this analytical method is fully applicable to the determination of sterol fingerprints in the dissolved phase (<0.7 μm) of natural aqueous samples.