Yi Lu Department of Chemistry University of Illinois at Urbana-Champaign Urbana, IL 61801
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A major challenge facing ERSP/SBR Measurement/monitoring of radionuclides and metal ions across a large spatial and temporal scale cellular level ecological level Before ER: How many and how much (identification and quantification)? Where and when (on-site, real-time with high spatial and temporal resolution)? What species (e.g., different oxidation states with different bioavailability)? During ER: How effective are the remediation methods? After ER: Long-term monitoring (legacy management) Fundamental science: Mechanistic studies (fundametnal process coupling) Computer modeling (the more accurate data, the better simulation) More selective chelators (structural features responsible for binding different radionuclides and different oxidation states of the same radionuclide)
Current instrumental analysis Atomic absorption spectrometry Inductively coupled plasma mass spectrometry Anodic stripping voltammetry X-ray fluorescence spectrometry or microscope Phosphorimetry Advantages Disadvantages Industrial standard Require expensive equipment, sample- Highly sensitive (down to pretreatment, and skilled operators ~ppb or less) Detect total amount of metal ions Detect a number of metal (not bioavailable metal ions) ions simultaneously cannot differentiate different oxidation states of the same metal ions (U(VI)/U(IV); Cr(VI)/Cr(III); Fe(III)/Fe(II)) difficult for in-situ, on-site, remote or real-time detection Designing highly sensitive and selective sensors is a solution
Number of publications in metal ion sensing ~50,000 publications as of 2009 There are many publications and thus research activities in metal sensing….but very limited practical or commercially available sensors.
Why are there so few metal ion sensors that are being used practically? The process is too much of a trial-and- error process and lack ? a general method to obtain molecules for any specific metal ions and any specific oxidation state of metal ions ? a general method to improve selectivity; ? a general method to transform molecular recognition into physical detectable signals without compromising the binding affinity and selectivity; ? a general method to fine-tune the dynamic range. What can we do about it? We need to design general strategies to meet the four key challenges in metal ion sensing.
Four key steps in designing sensors ? a general method to obtain molecules for any specific target (e.g., U(VI), Cr(VI), Cr(III), organic contaminants, proteins, bacteria, viruses) U(VI) Cr(III) Cr(VI) Method proteins bacteria Organic contaminants Until recently, antibodies (Abs) is the only method that is general enough for a broad range of targets, but Abs not very good at sensing small molecular targets or targets that are either non-immunogenic or too toxic to raise Abs.
Functional DNA: catalytic DNA and aptamers DNA/RNA = Protein enzymes DNA/RNA = Antibodies Catalytic DNA Kruger, K. et al. Cell 31, 147 (1982). Guerrier-Takada, C. et al. Cell 35, 849 (1983). Breaker, R.; Joyce, G. Chem. Biol. 1, 223 (1994).
Combinatorial biology: a general method to obtain DNA/RNA for a specific target In vitro Selection Systematic Evolution of Ligands by Exponential Enrichment (SELEX) Ellington, A. D.; Szostak, J. W. Nature 346, 818(1990). Tuerk, C.; Gold, L. Science 249, 505 (1990). Beaudry, A. A.; Joyce, G. F. Science 257, 635 (1992).
Molecules Recognized/bound by Selected DNA/RNA Analyte/target type Examples Metal ions Mg(II), Ca(II), Mn(II), Pb(II), Hg(II), U(VI) Organics Cibacron blue, reactive green 19 Amino acids L-Valine, D-Tryptophan Nucleosides/nucleotides Guanosine, ATP Nucleotide analogs 8-oxo-dG, 7-Me-guanosine Biological cofactors NAD, FMN, porphyrins, Vitamin B12 Aminoglycosides Tobramycin, Neomycin Antibiotics Streptomycin, Viomycin Peptides Rev peptide Enzymes Human Thrombin, HIV Rev Transcriptase Growth cofactors Karatinocyte GF, Basic fibroblast GF Antibodies human IgE Gene regulatory factors elongation factor Tu Cell adhesion molecules human CD4, selectin Intact viral particles Rous sarcoma virus, Anthrax spores Juewen Liu and Yi Lu, J. Fluoresc. 14, 343-354 (2004).
Examples of in vitro selected Catalytic DNA UO22+ Mg2+ (Lu) (Joyce) Pb2+ Zn2+ (Lu, Joyce) (Lu) Cu2+ Co2+ (Breaker) (Lu) Specific sequence/code = specificity Lu, Y. Chem. Euro. J. 8, 4588-4596 (2002).
Examples of in vitro selected catalytic DNA UO22+ Mg2+ Pb2+ Substrate M(II) Enzyme Cu2+ General secondary structure, making it easy for sensor design Lu, Y. Chem. Euro. J. 8, 4588-4596 (2002).
Four key steps in designing sensors √ a general method to obtain molecules for a specific analyte; ? a general method to improve selectivity; What most want to do What most end up doing
2. A general method to improve sensor selectivity Applying a “negative” selection strategy in in vitro selection or SELEX, one can improve sensor’s analyte selectivity. This method can be generally applied to any selection method. P. J. Bruesehoff, J. Li, A. J. Augustine III, and Y. Lu, Combinatorial Chemistry and High Throughput Screening, 5, 327-335 (2002).
Four key steps in designing sensors √ a general method to obtain molecules for a specific analyte; √ a general method to improve selectivity; ? a general method to transform molecular recognition into physical detectable signals without compromising the binding affinity and selectivity;
3. A general method to convert catalytic DNA into fluorescent sensors using catalytic molecular beacon TAMRA Dabcyl I III +Enz II I +Pb2+ III II Li, J.: Lu, Y. J. Am. Chem. Soc., 122, 10466-10467. (2000).
A highly sensitive and selective sensor for Uranium Over 14 fold fluorescence increase, with a Detection limit: 45 pM = 11 part-per-trillion Over 1 Million Fold Selectivity Juewen Liu, Andrea K. Brown, Xiangli Meng, Donald M. Cropek, Jonathan D. Istok, David B. Watson, and Yi Lu, Proc. Natl. Acd. Sci. USA 104, 2056–2061 (2007).
Uranyl Detection in Soil Samples at Oak Ridge IFRC 300×diluted 50×diluted Catalytic DNA sensor response Phosphorescence in 10% H3PO4 We followed a sample extraction procedure established by P. Zhou and B. Gu, Environ. Sci. Technol. 39, 4435-4440 (2005). Juewen Liu, Andrea K. Brown, Xiangli Meng, Donald M. Cropek, Jonathan D. Istok, David B. Watson, and Yi Lu, Proc. Natl. Acd. Sci. USA 104, 2056–2061 (2007).
Further comparison Method Detection Detection Limit (pM) Limit (ppt) X-ray Fluorescence 11,760,000 2,800,000 Atomic Absorption 336,000 80,000 Spectrometry EPA MCL 126,000 30,000 ICP-Atomic Emission 8,400 2,000 Spectrometry Antibody fluorescence 1,000 238 ICP-Mass 420 100 Spectrometry Stripping Voltammetry 100 24 Catalytic DNA Sensor 45 11 Performance is comparable to Phosphorimetry 42 10 ICP and phosphorescence Kinetic 4.2 1 Phosphorimetry Juewen Liu, Andrea K. Brown, Xiangli Meng, Donald M. Cropek, Jonathan D. Istok, David B. Watson, and Yi Lu, Proc. Natl. Acd. Sci. USA 104, 2056–2061 (2007).
The method is general: more catalytic beacon based fluorescent sensors Pb2+: Detection limit: 1nM Fluorescent sensors EPA MCL: 75 nM Based on catalytic beacon UO22+: Detection limit: 45 pM EPA MCL: 126 nM Cu2+: Detection limit: 35 nM EPA MCL: 20 µM Hg2+: Detection limit: 2.4 nM EPA MCL: 10 nM Li, J.: Lu, Y. J. Am. Chem. Soc., 122, 10466-10467. (2000). J. Liu, et al. Proc. Natl. Acad. Sci 104, 2056 (2007). J. Liu and Y. Lu J. Am. Chem. Soc. 129, 9838 (2007). J. Liu and Y. Lu, Angew. Chem., Int. Ed., 46,7587 (2007).
Design of a Simple Colorimetric Biosensor Pb BLUE Mix Aggregate Pb RED Pb Pb = 17E BLUE Pb 5'- rA = GGAAGAGATG -3' = SubAu RED Au 5'-CACGAGTTGACA-3' = DNAAu = Liu, J.; Lu, Y. J. Am. Chem. Soc. 125, 6642-6643 (2003).
Colorimetric Uranium Sensors Detection limit: 50 nM Detection limit: 1 nM Lee, J.H; Wang, Z; Liu, J; Lu, Y. J. Am. Chem. Soc. 130, 14217-14226 (2008).
Four key steps in designing sensors √ a general method to obtain molecules for a specific analyte; √ a general method to improve selectivity; √ a general method to transform molecular recognition into physical detectable signals without compromising the binding affinity and selectivity; ? a general method to fine-tune the dynamic range. Threshold #2: water Threshold #1: soil yes yes Signal no no Lead concentration IDEAL CURVE
4. A general method to tunable Dynamic Range A. Active DNA B. Inactive DNA B:A = 0:1 B:A = 20:1 Brown, A. K.; Li, J.; Pavot, C. M.-B.; Lu, Y. Biochemistry 42, 7152-7161 (2003). Liu, J.; Lu, Y. J. Am. Chem. Soc. 125, 6642-6643 (2003).
A new and highly sensitive and selective Hg sensor Detection limit: 3 nM Wang, Z; Lee, J.H; Lu, Y. Chem. Commun. 6005-6007 (2008)
“Dipstick” Litmus paper test for Pb2+ and other metals It is now possible for even simpler detection of radionuclides and metal ions Debapriya Mazumdar, Juewen Liu, Geng Lu, Juanzuo Zhou and Yi Lu, Chem. Commun. 46, 1416-1418 (2010).
Sensing and “budgeted” release of chelators for on-demand metal ion remediation M. Veysel Yigit, A. Mishra, R. Tong, J. Cheng, G. C. L. Wong, and Y. Lu, Chem. Biol. 16, 937 – 942 (2009).
Sensor product development www.ANDalyze.com
First test of ground water samples at ORFRC Area 3 Thanks to David B. Watson Marcella (Sally) Mueller Kenneth A. Lowe Area 4 N. Diane Kosier Tonia L. Mehlhorn Jennifer E. Earles Jesse M. Stephens
First test at ORFRC Sensor Hannah Ihms
Fundamental understanding of selectivity: Using single molecule FRET Hee-Kyung Kim, Ivan Rasnik, Juewen Liu, Taekjip Ha, and Yi Lu, Nature Chem. Biol. 3, 763-768 (2007).
Fundamental understanding of selectivity: Using biochemical assay and x-ray absorption spectroscopy Andrea K. Brown, Juewen Liu, Ying He, and Yi Lu, ChemBioChem 10, 486-492 (2009). Bruce Ravel, Scott C. Slimmer, Xiangli Meng, Gerard C. L. Wong, and Yi Lu, Rad. Phys. Chem. 78, S75–79 (2009).
Future directions Applications: New sensors: methylHg; Cr(VI), Pu(IV), Fe(II)/Fe(III) DNAzyme microarrays for multiplexing detection Pb2+ UO22+ -, - -, + +, - +, + Fundamental Science: Elucidate structural features for selectivity UO22+ sensor Pb2+ sensor (11 ppt) (0.2 ppb)
Summary To obtain sensitive and selective biosensors, we have demonstrated the following general strategies: • to obtain sensing molecules; • to improve selectivity; • to convert molecular recognition event into physically detectable signals (e.g., fluorescence and colorimetric); • to tune the dynamic range. The new catalytic DNA fluorescent and colorimetric sensors environmentally benign cost effective stable under rather harsh conditions can be denatured and renatured many times allow combinatorial search for desired metal-binding properties adaptable to optic fiber and microarray chip technology unlimited by the choice of fluorophore/optical tags easy to attach fluorophore/optical tags to any desired position activity-based detection immune to source fluctuation and electronic drift highly sensitive (down to ppt) and selective (more than 1 million fold) allows on-site, real-time detection and quantification with high spatial (< cm) and time (< min.) resolution. detect not only different metal ions, but also different oxidation states of the same metal ions, allowing sensing of bioavailable toxic metal ions.
Acknowledgments DNA/RNA Lab at UIUC IFRC, ONRL Graduate Students: David B. Watson Ying He Andrea K. Brown Marcella (Sally) Mueller Hannah Ihms Peter J. Bruesehoff Tian Lan Hee-Kyung Kim Kenneth A. Lowe Darius Brown Jing Li N. Diane Kosier Nandini Nagraj Jung Heon Lee Tonia L. Mehlhorn Eric Null Juewen Liu Jennifer E. Earles Zidong Wang Kevin E. Nelson Jesse M. Stephens Brian Wong Daryl P. Wernette Weichen Xu Mehmet V. Yigit Oregon State University Hang Xing Debapriya Mazumdar Jonathan D. Istok Yu Xiang Seyed-Fakhreddin Torabi Mandy Michalsen Postdoctoral fellows: Hui Wei Zehui Cao Funding Juanzuo Zhou Geng Lu Department of Energy Office of Science, ERSP program Xiangli Meng (DE-FG02-08ER64568) Daisuke Miyoshi Wenchao Zheng
A sensor that resists to temperature-dependent variations Nandini Nagraj, Juewen Liu, Stephanie Sterling, Jenny Wu and Yi Lu, Chem. Comm. 2009, 4103-5. Label-free DNA sensors for cost-effective sensing Yu Xiang, Aijun Tong and Yi Lu, J. Am. Chem. Soc. 131,15352-15357 (2009).
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