
Additional Applications 1. Nanoarray We have created a technique for fabricating fiber optic-based nanoarrays for detection and analysis for DNA sequences. The fabrication of nanoarrays with two size formats is first discussed: one array has 700 nm features and another with 300 nm features. These arrays have an ultra high packing density in that they can contain 1 x 10 6 array elements/mm 2 (the 700 nm nanoarray) or 4.5 x 10 6 array elements/mm 2 (the 300 nm nanoarray). A straightforward etching protocol was used to create nanowells on the fiber bundle surface into which sensors were deposited. The surface characteristics of the etched arrays were examined with atomic force microscopy and scanning electron microscopy. Fluorescence microscopy was used to observe the arrays. The 300 nm array features and the 500 nm center-to-center distance approach the minimum feature sizes viewable using conventional light microscopy. A random, multiplexed array composed of oligonucleotide-functionalized nanospheres was then fabricated on the proximal face of the etched fiber bundle. Arrays were used for parallel detection and analysis of fluorescently labeled DNA targets complementary to probe sequences on the nanosphere sensors. We have used these arrays to detect a variety of target sequences such as bacillus thuringiensis kurstaki and vaccina virus , biowarfare-related target sequences, as well as cystic fibrosis related target sequences.
Figure 1 Scanning electron microscopy images of (A) 700 nm nanofibers at 20000x magnification and (B) 300 nm nanofibers at 50000x magnification loaded with nanobeads.
Figure 2 Fluorescent images of arrays containing Rhodamine B-dyed nanospheres (A) 700 nm nanofiber array viewed with a 50x objective and (B) 300 nm nanofiber array viewed with a 60x water immersion objective.
J. M. Tam, L. Song, and D. R. Walt “Fabrication and Optical Characterization of Imaging Fiber-Based Nanoarrays” Talanta ( accepted) (2005) 2. Cross-reactive Enzymes Many enzymes are considered selective; for example, L-glutamate oxidase reacts primarily with L-glutamate. Other enzymes are considered cross-reactive, such as, L-amino acid oxidase, which reacts with a range of L-amino acids at different rates. The incorporation of these non-specific enzymes into a sensor array is our approach to using the enzyme's inherent cross-reactive nature to create sensor arrays. The designed enzymatic assay combines esterases, esters, and a pH sensitive dye in the 96-well microtiter plate format to create a rapid and convenient fluorometric ester assay. The esterase hydrolyzes an ester causing a change in pH, which results in a unique fluorescence response. The rates of reaction were used to group the analytes through principal component analysis, and, so far nine esterases can cluster over twenty esters.
Figure 1 Self-assembled bienzyme structure.
Figure 2 A simple schematic showing the basics of sensor synthesis. 3. Explosives Detection As an extension to the artificial nose technology which is being investigated in our laboratories, Department of Defense agency has supported research geared towards the detection of explosives vapor, specifically to be developed for landmine detection. There is a tremendous need for a field-worthy explosives vapor detection system which can detect and discriminate between explosives compounds and the complex backgrounds within which they occur. At present, a trained dog's nose is the best technology for field detection of land mines. However, dogs cannot cover substantial land area and they are limited by numerous factors including fatigue. Research and progress made in this area are geared to ultimately be fused into a field-ready landmine detection system which could possible be housed in a soldier's or even a farmer's backpack. In a recent article, Chemical and Engineering News (C & EN ; March 10, 1997; pp.14-22) speaks of the global threat of landmines and along with artificial nose technology, the article highlights other methods currently being investigated by other research institutions for landmine detection.
Figure 1 Prof. David R. Walt's Lab at Tufts University hopes to someday detect 2,4,6-trinitrotoluene (TNT) and other explosive-like vapors in the field using optical sensors and neural network analysis.
Figure 2 The chemical structures for TNT and TNT-like compounds used in our laboratories.
Figure 3 Average fluorescence change vs. time for a set of eighteen micrometer-sized sensors. Four different analytes each produces a different signature when saturated vapor is delivered in a pulsatile fashion. Published in Proceedings of SPIE: Detection and Remediation Technologies for Mines and Minelike Targets III 13-17 April 1998, Vol. 3392, Part 1 of 2, p.426. Also we are attempting to detect explosives and explosive-like materials using a high-density array of thousands of micrometer sized sensors. This new array fabrication technology developed in our laboratory (see "Random Arrays ") allows thousands of micro-sensors to be simultaneously monitored upon a vapor 'puff.' Using a sensor population of this magnitude benefits a field system where false-positives might affect performance. *For sensor materials and fabrication see artificial nose .
Figure 4 The complete buggy detection system. Laptop controlled hardware components include a CCD camera, a complicated optical block with two LED excitation sources, an air-flow pump system, and sensor housing with built in fan for vapor generation.
Figure 5 The seven-sensor portion of the portable system: a six-around-one fiber bundle shown with green LED excitation. The outer diameter of the fiber-bundle is smaller than that of a dime.
Figure 6 Our system outside at Tufts University prior to field deployment Sept.1998. (L to R): Steve Brown of LLNL, Keith Albert of Tufts, and M. L. Myrick of USC. 4. Materials Chemistry
Figure 1 Self-assembled nanospheres
Figure 2 200 nm diameter PS nanospheres assembled on 5 m m Silica Microspheres
Figure 3 100 nm PS assembled on 3.1 uM silica (left). Ps metling at 170 - 180° C
Figure 4 Coating of Silica Beads with Poly(benzyl methacrylate) by LRP
Figure 5 Schematic representation of the production of hollow polymeric microspheres.
Figure 6 Hollow MBzMA microspheres (left). Hollow PMMA microspheres (right). 5. Near-Field Arrays Arrays of near-field tips have been fabricated from high-density fiber optic bundles. Bundles containing approximately 30,000 individual fibers were chemically etched to form an array of silicon tips. To create apices for each tip, a metal layer was subsequently sputtered over the entire surface to prevent light escaping from the sides. An insulating polymer layer was then electrochemically deposited followed by heat curing to expose gold at each tip. The gold was then chemically removed.
6. Lectin Screening Array This project employs lectins (carbohydrate binding proteins) as the recognition element. Different carbohydrate structures, synthesized in the laboratory of Prof. Peter Seeberger (MIT), were coupled to beads with bovine serum albumin as a linker. The beads are internally encoded with a fluorescent dye for positional registration. A different dye concentration encodes for each carbohydrate-sensor. The modified beads are loaded into the etched wells of a fiber optic imaging bundle. Two different arrays were tested: on the first array, two carbohydrates were screened for their affinity to Concanavalin A; on another array, five different carbohydrate structures were screened for binding to cyanovirin, an anti-HIV agent. The results demonstrated both a very high selectivity and sensitivity of the sensors with low nonspecific adsorption.
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