A cross-reactive plasmonic sensing array for drinking water assessment

Sperling, Justin R.; Poursat, Baptiste; Savage, Laurie; Christie, Iain; Cuthill, Calum; Aekbote, Badri L.; McGuire, Katie; Karimullah, Affar S.; Robbie, Jill; Sloan, William T.; Gauchotte-Lindsay, Caroline; Peveler, William J.; Clark, Alasdair W.

doi:10.1039/d3en00565h

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Additionally, liquids or vapors may benefit from some kind of pretreatment to improve the sensing response . For liquids in particular, (micro)fluidic delivery across a surface enables many spatially separate sensor elements to continuously respond to the sample at once, while minimizing the volume of analyte required, and is becoming a popular approach, alongside microwells …”

Section: Cross-reactive Sensor Array Construction Materials and Analy...mentioning

confidence: 99%

Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry

Peveler

2024

ACS Sens.

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Arrays of cross-reactive sensors, combined with statistical or machine learning analysis of their multivariate outputs, have enabled the holistic analysis of complex samples in biomedicine, environmental science, and consumer products. Comparisons are frequently made to the mammalian nose or tongue and this perspective examines the role of sensing arrays in analyzing food and beverages for quality, veracity, and safety. I focus on optical sensor arrays as low-cost, easy-to-measure tools for use in the field, on the factory floor, or even by the consumer. Novel materials and approaches are highlighted and challenges in the research field are discussed, including sample processing/handling and access to significant sample sets to train and test arrays to tackle real issues in the industry. Finally, I examine whether the comparison of sensing arrays to noses and tongues is helpful in an industry defined by human taste.

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Section: Cross-reactive Sensor Array Construction Materials and Analy...mentioning

confidence: 99%

Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry

Peveler

2024

ACS Sens.

Self Cite

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“…The development of these sensors has given rise to overarching principles for constructing an olfactory array, where a salient feature is that it possesses some degree of cross-reactivity. 13 Recognizing the power of chemical olfaction, we created a selective array in an immunoassay format to result in an adaptive diagnostic that can detect a biomarker that it has not encountered before. We chose to demonstrate it on variants of SARS-CoV-2 because the virus is a compelling model for a pathogen that evolves into new variants.…”

Section: Introductionmentioning

confidence: 99%

A novel immunoassay technique using principal component analysis for enhanced detection of emerging viral variants

Mata Calidonio,

Maddox,

Hamad-Schifferli

2024

Lab Chip

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Plasmonic Cross‐Reactive Sensing Noses and Tongues

Calderon,

Becerril‐Castro,

Zorlu

et al. 2024

ChemPlusChem

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The advancements in the capabilities of artificial sensory technologies, such as electronic/optical noses and tongues, have significantly enhanced their ability to identify complex mixtures of analytes. These improvements are rooted in the evolving manufacturing processes of cross‐reactive sensor arrays (CRSAs) and the development of innovative computational methods. The potential applications in early diagnosis, food quality control, environmental monitoring, and more, position CRSAs as an exciting area of research for scientists from diverse backgrounds. Among these, plasmonic CRSAs are particularly noteworthy because they offer enhanced capabilities for remote, fast, and even real‐time monitoring, in addition to better portability of instrumentation. Specifically, the synergy between the localized surface plasmon resonance (LSPR) of nanoparticles (NPs) and CRSAs introduces advanced techniques such as surface plasmon resonance (SPR), metal‐enhanced fluorescence (MEF), surface‐enhanced infrared absorption (SEIRA), surface‐enhanced Raman scattering (SERS), and surface‐enhanced resonance Raman scattering (SERRS) spectroscopies. This review delves into the importance and versatility of optical‐CRSAs, especially those based on plasmonic materials, discussing recent applications and potential new research directions.

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A cross-reactive plasmonic sensing array for drinking water assessment

Abstract: The continuous monitoring of remote drinking water purification systems is a global challenge with direct consequences for human and environmental health. Nanoplasmonic sensors can monitor treatment systems and warn of failures.

Cited by 4 publications

References 36 publications

Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry

Food for Thought: Optical Sensor Arrays and Machine Learning for the Food and Beverage Industry

A novel immunoassay technique using principal component analysis for enhanced detection of emerging viral variants

Plasmonic Cross‐Reactive Sensing Noses and Tongues

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