Nanoplasmonic discrimination of organic solvents using a bimetallic optical tongue

Optical sensor arrays serve as excellent tools for the recognition and discrimination of a variety of liquid and gas mixtures. They achieve this via pattern-based recognition from signals across multiple sensing regions, where each region is modified to produce a different interaction, such as partial-selectivity, with desired analytes. As their use progresses towards rapid, highly personalized diagnosis and component identification devices, reduction in complexity and data-acquisition time is key. One way to achieve this is through reducing the number of elements in the array without compromising the differential capabilities of the device. Here, we present a device with elements consisting of plasmonic sensors of two superimposed plasmonic nanoarrays; one fabricated using gold and the other aluminum. Each material produces a distinct plasmonic response while also allowing us to selectively functionalize each pattern with a different ‘sensing chemistry.’ This allows for the development of different partially-selective elements, via modification with functional thiols and silanes, respectively. Since optical sensing arrays of this type require multiple sensing regions, each producing a different optical response, our bimetallic method results in twice as much data from one measurement, providing the same amount of data necessary to allow for successful differentiation with fewer elements in the sensing array. We demonstrate that by altering the surface chemistry of the nanostructures we can tune their partial selectivity to organic solvents. We believe this technology could be useful in areas that rely on assays for simultaneous determination of multiple analytes, such as the medical, food and drug, and security industries.

[1]  Antonio Cellini,et al.  Potential Applications and Limitations of Electronic Nose Devices for Plant Disease Diagnosis , 2017, Sensors.

[2]  H. Haick,et al.  Diagnosing lung cancer in exhaled breath using gold nanoparticles. , 2009, Nature nanotechnology.

[3]  Justin R. Sperling,et al.  Multilayered Nanoplasmonic Arrays for Self-Referenced Biosensing. , 2018, ACS applied materials & interfaces.

[4]  Wang Li,et al.  Lung Cancer Screening Based on Type-different Sensor Arrays , 2017, Scientific Reports.

[5]  James F Cuff,et al.  Greening analytical chromatography , 2010 .

[6]  C. Ching,et al.  Enantiomer separation of flavour and fragrance compounds by liquid chromatography using novel urea-covalent bonded methylated beta-cyclodextrins on silica. , 2002, Journal of chromatography. A.

[7]  Cristina Medina-Plaza,et al.  Electronic Noses and Tongues in Wine Industry , 2016, Front. Bioeng. Biotechnol..

[8]  Morteza Mahmoudi,et al.  Themed Issue: Chemical and Biological Detection Chemical Society Reviews Optical Sensor Arrays for Chemical Sensing: the Optoelectronic Nose , 2022 .

[9]  D. Lynch,et al.  Handbook of Optical Constants of Solids , 1985 .

[10]  Dusan Losic,et al.  Nanoporous anodic aluminium oxide membranes with layered surface chemistry. , 2009, Chemical communications.

[11]  C. Di Natale,et al.  Nonspecific sensor arrays ("electronic tongue") for chemical analysis of liquids (IUPAC Technical Report) , 2005 .

[12]  Giorgio Pennazza,et al.  An investigation on electronic nose diagnosis of lung cancer. , 2010, Lung cancer.

[13]  M. C. Oliveros,et al.  Electronic nose based on metal oxide semiconductor sensors and pattern recognition techniques: characterisation of vegetable oils , 2001 .

[14]  Fei Xu,et al.  An investigation on electronic nose diagnosis of liver cancer , 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

[15]  Hermann Brenner,et al.  Long-term survival rates of cancer patients achieved by the end of the 20th century: a period analysis , 2002, The Lancet.

[16]  Kevin L. Goodner,et al.  The dangers of creating false classifications due to noise in electronic nose and similar multivariate analyses , 2001 .

[17]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[18]  N. Magan,et al.  Electronic noses and disease diagnostics , 2004, Nature Reviews Microbiology.

[19]  Yu Lei,et al.  Colorimetric artificial tongue for protein identification. , 2011, Biosensors & bioelectronics.

[20]  T. Randall Lee,et al.  Stability: A key issue for self-assembled monolayers on gold as thin-film coatings and nanoparticle protectants , 2011 .

[21]  K. Persaud,et al.  Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose , 1982, Nature.

[22]  J. Huskens,et al.  Reactive self-assembled monolayers: from surface functionalization to gradient formation , 2013 .

[23]  H. Haick,et al.  Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors , 2010, British Journal of Cancer.

[24]  Andreas Herrmann,et al.  A Hypothesis-Free Sensor Array Discriminates Whiskies for Brand, Age, and Taste , 2017 .

[25]  Manel del Valle,et al.  A review of the use of the potentiometric electronic tongue in the monitoring of environmental systems , 2010, Environ. Model. Softw..

[26]  L. Vosshall,et al.  Molecular architecture of smell and taste in Drosophila. , 2007, Annual review of neuroscience.

[27]  H. Troy Nagle,et al.  Performance of the Levenberg–Marquardt neural network training method in electronic nose applications , 2005 .