(Keynote) Chemical Selectivity and Micro/Nano Sensors
Notice bibliographique
Résumé
Nano and microsensors sensors, such as cantilevers, nanowires, inter-digital electrodes, etc., offer unprecedented sensitivity in chemical detection and remain as leading candidates for applications ranging from health-care to national security. They also have all the much desired sensor characteristics such as miniature size, low power consumption, simultaneous detection of multiple analytes, easy readout, and potential low cost. In general, molecular adsorption-induced changes in physical properties of the sensor serve as the sensor signal. However, many of these sensors suffer from lack of selectivity. Imparting chemical selectivity for reversible detection of small molecules has been a challenge. Commonly used method of using immobilized chemoselective coatings often results in high false positives due to the generic nature of reversible chemical interactions. Therefore, developing concepts that can provide high selectivity without relying on immobilized chemical interfaces has been an active area of research. Although infrared spectroscopy techniques offer excellent selectivity, they do not have required sensitivity. However, concepts that can combine microfaricated sensors with infrared spectroscopy offer excellent selectivity as well as sensitivity. The sensitivity of detection in the nanomechanical spectroscopic technique depends on the thermal mass of the sensor. Therefore, lowering the thermal mass of the detector could result in superior sensitivity in chemical sensing. Since sensor platforms such as nanowires have very small thermal mass, they can be an ideal sensor for photothermal spectroscopy to achieve higher sensitivity and fast response times. However, producing bi-material effect on a nanowire to cause mechanical motion is challenging. In addition, monitoring nanomechanical motion induced by small changes in temperature of a nanostructure, for example nanoribbons and nanocantilevers, requires complex and bulky readout devices. Recently we have demonstrated a method of combining photothermal spectroscopy of physisorbed molecules on a semiconductor nanowire with its electrical resonance response for unprecedented selectivity and sensitivity. This technique, therefore, combines the selectivity of mid IR spectroscopy and sensitivity offered by electrical resonance phenomenon. Wide band gap materials such as bismuth ferrite (BiFeO 3 or BFO) have high density of surface states in their band gap, which are filled up to the Fermi level. Due to the high surface-to-volume ratio of a BFO nanowire, its electrical properties are significantly influenced by the electrical nature of the surface states. Changing the temperature of the nanowire modulates the occupation of these surface states. Since the thermal mass of a nanowire is extremely small, absorption of very small quantities of heat can result in large changes in its temperature and changes the population of the surface states. Therefore, illuminating the nanowire with pulsed light can modulate the population-depopulation of these surface states depending on excitation and relaxation of molecular vibrations of the adsorbed molecules. A slight variation in temperature induces changes in the surface state population further changing the electrical properties of the nanowire, which in turn can be detected by monitoring the electrical resonance response of the nanowire. In this technique a nanowire behaves analogous to an electrical series RLC resonant circuit with effective inductance and a non-ideal capacitance, with a resonance frequency in the MHz regime. This result in a faster response time (tens of ). Unlike cantilever-based photothermal sensors, where higher thermal mass typically result in slow , this method offers response times that are 1000 times faster. Using this combined platform of electrical resonance of a BFO nanowire and mid IR photothermal effect, we have demonstrated selective and sensitive detection of phsyosrbed molecules such as TNT, RDX, PETN, etc. The sensitivity in detection is in femto gram level. Since the molecules are physisorbed on the nanowire, they can be easily desorbed making the technique reversible. IR excitation of the physisorbed molecules increases the temperature of the nanowire due to its very low thermal mass. The presence of high density of surface states on the nanowire promotes thermally induced changes in population-depopulation of surface states. Changes in population of surface states changes the electrical resonance parameters of the nanowire and its electrical resonance frequency. The BFO nanowire/IR system utilizes IR-induced internal dissipation caused by IR absorption by the adsorbed molecules. This technique can be used for detecting minute amounts of surface adsorbed molecules on similar nanomechanical resonating platforms using dissipation as the parameter. The sensitivity can be further enhanced by optimization and can provide exciting opportunities in developing a sensitive platform with superior selectivity performance. Efforts are presently underway to develop miniature IR sources to decrease the overall footprint of the integrated system.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».