+ ARTICLE IN PRESS MODEL SSSCIE3008_proof 23 October 2007 1/5 Available online at www.sciencedirect.com 1 2 3 Solid State Sciences xx (2007) 1e5 4 www.elsevier.com/locate/ssscie 5 6 7 8 9 10 11 12 Veronica Mugnaini a,1, Mauro Fabrizioli b,2, Imma Ratera a,1, Matteo Mannini b,2, 13 Andrea Caneschi b,2, Dante Gatteschi b,2, Yishay Manassen c,3, Jaume Veciana a,* 14 a Institut de Ciencia de Materials de Barcelona e CSIC, Campus de la UAB, 08193 Bellaterra, Spain 15 b Laboratory for Molecular Magnetism and INSTM Research Unit, University of Florence, 50019 Sesto Fiorentino, Italy 16 c Department of Physics, Ben Gurion University of the Negev, P.O. Box 653, Beer Sheva 84105, Israel 17 Received 6 June 2007; received in revised form 20 September 2007; accepted 28 September 2007 18 19 20 21 22 Abstract 23 24 The Electron Spin Noise Scanning Tunnelling Microscopy (ESN-STM) technique is one of the most promising techniques detecting one 25 single spin, combining the spatial resolution of the STM with the ability of spectral resolution and spin manipulation of Electron Spin Resonance. After its first observation, the effectiveness of this technique has been tested by different groups to study the properties of small aggre26 gates or single organic radical molecules. 27 We report on the ongoing ESN-STM study on nano-aggregates of tris(2,4,6-thrichlorophenyl)methyl radical (TTM) derivatives, whose pos28 sibility to be used as wires, switches and memory devices has already been investigated in bulk. After deposition on Au(111), TTM radicals 29 preserved their magnetism. To treat the collected noise data we followed a statistical approach; some peculiar characteristics of this analysis 30 will be addressed. 31 Ó 2007 Elsevier Masson SAS. All rights reserved. 32 33 Keywords: Single spin detection; STM; Organic radicals; CW ESR; Molecular magnetism 34 35 36 37 38 on different instrumental set ups using well known ESR stan1. Introduction 39 dards, such as BDPA [2,3], DPPH [3], TEMPO [4] or TEM40 POL [5] free radicals. Very recently the ESN-STM has been Up to now, one of the most promising techniques to detect 41 used to complete the characterization of self-assembled monoone single spin carrier molecule deposited on surface is the 42 layers of nitronyl nitroxide radicals [6], especially engineered Electron Spin Noise Scanning Tunnelling Microscopy (ESN43 for self-assembling and gold surface grafting through covalent STM) technique that combines the spatial resolution of the 44 bonding. STM with the spectral resolution of the Electron Spin Reso45 We report here on the use of the ESN-STM technique to adnance [1]. After its first application to detect defects in oxi46 dress the behaviour of polychlorotriphenylmethyl (PTM) raddized silicon surfaces [1], the effectiveness of this technique 47 ical derivatives at a single molecule level. These molecules are has been tested by various groups who focused their attention 48 persistent radicals that find application in nanotechnology as 49 molecular wires, switches and memory devices [7]. PTM mol50 ecules can be variously functionalized and moreover present Q1 * Corresponding author. Tel.: þ34 935 801 853; fax: þ34 935 805 729. 51 E-mail addresses: [email protected] (D. Gatteschi), manassen@bgu. electroactive properties that allow the oneoff switching of ac.il (Y. Manassen), [email protected] (J. Veciana). 52 their magnetic nature [8]. In addition, PTM can be used as 1 Tel.: þ34 935 801 853; fax: þ34 935 805 729. 53 2 building block for organo-metallic complexes [9] and used Tel./fax: þ39 055 457 3327. 54 3 for the synthesis of biradical species presenting interesting Tel.: þ972 08 647 2153; fax: þ972 08 647 2904. 55 56 1293-2558/$ - see front matter Ó 2007 Elsevier Masson SAS. All rights reserved. 57 doi:10.1016/j.solidstatesciences.2007.09.021 UN CO RR E CT ED PR OO F Towards the detection of single polychlorotriphenylmethyl radical derivatives by means of Electron Spin Noise STM Please cite this article in press as: V. Mugnaini et al., Solid State Sci. (2007), doi:10.1016/j.solidstatesciences.2007.09.021 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 ARTICLE IN PRESS V. Mugnaini et al. / Solid State Sciences xx (2007) 1e5 2. STM characterization F By ESR, we demonstrated that the TTM derivative radicals preserve their magnetism when deposited on the surface, which is a fundamental requirement for performing ESNSTM experiments. The grafting of the radical molecules on Au(111) was performed with the dip and rinse procedure, in the same way as for the STM characterization, and inserted inside a quartz EPR tube. Spectra were taken at room temperature on the sample freshly prepared as well as after a few days. These measurements unambiguously show that not only these radicals preserve their magnetism on surface, but they are also stable in time even when physisorbed on Au(111) surface. The spectrum (Fig. 3) shows only one line as a result of the immobilization of the molecule on the solid surface. 4. ESN-STM characterization The main concept of ESN-STM is that a spin, in the pres- Q2 ence of an external magnetic field, starts precessing and hence generates a modulation in the tunnelling current at its Larmor frequency [1]. Unlike ESR, in this technique no external rf stimulus is used, and instead, the noise created by the spin at the Larmor frequency is detected. As known, the Larmor frequency (nL) is directly related to the g-value of a paramagnetic centre by the relation: nL ¼ gmBB/h. On this basis, for a fixed external applied magnetic field, it is possible to identify a paramagnetic species just by looking at the AC component of the tunnelling current at the frequency value at which resonance occurs. The radio frequency (rf) modulation generated by the spin precession sums up to the direct tunnelling current (DC) and by its revelation it is possible to determine the location of the spin site on the surface [12]. By following this rf component of the tunnelling current flowing through the STM tip, we can get local information about the paramagnetic centres located on the surface: the high frequency component of the tunnelling current is decoupled by the continuous one e which is fed into a low-pass band IeV converter and used as UN CO RR E CT ED The TTM physisorbed Au(111) samples for STM were prepared using the dip and rinse procedure [3]. Dichloromethane solution (1 ml, 103 M) of the radical under study was freshly prepared before every set of measurements. In it, a small piece (9 mm2) of 150 nm gold evaporated over mica (Molecular Imaging e Agilent Inc.), previously hydrogen flame annealed and washed in ultra pure ethanol and dichloromethane, was immersed for 30 s. Then the same gold was rinsed in ultra pure dichloromethane to wash out the molecules that were not physisorbed and gently dried under nitrogen flux. On such prepared gold samples, well-resolved STM images were obtained working in nitrogen environment and using tunnelling currents of 15 pA. STM measurements were performed with a P47-Pro system (NT-MDT, Zelenograd, Moscow, Russia) equipped with a customized low-current STM head and Pt/Ir 90/10 mechanically-cut tips prepared immediately before use. As shown in Fig. 2a TTM molecules are adsorbed on the entire gold surface forming aggregates of a diameter of less than 8 nm. Four hours after sample preparation, ordered domains were observed (Fig. 2b). A high resolution image (Fig. 2c) reveals the detailed structures that are characterized by periodic rows, distant 1.5 0.1 nm one from the other. The periodicity of the rows, as well as their dimension, is consistent with the molecular size of TTM (Fig. 1) [11]. 3. CW ESR measurements OO intramolecular electron transfer phenomena [10]. Making use of the ESN-STM set up already tested on DPPH and BDPA [3], we investigated the tris(2,4,6-thrichlorophenyl)methyl radical (TTM) derivative depicted in Fig. 1. This radical appeared to be an excellent candidate for the ESN-STM measurements since we proved, with preliminary STM and CW ESR characterizations here reported, that it fulfils the requirements of this technique, i.e. (a) ability to selforganize on surfaces forming either small aggregates (nanodots) or well-spaced regular monolayer organizations with significant molecular separations and (b) preservation of its magnetism when dispersed on such surfaces. PR 2 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 SSSCIE3008_proof 23 October 2007 2/5 Fig. 1. Molecular structure of the TTM radical and its crystal structure representation with indication of the distances between the para-chlorine atoms [12]. Please cite this article in press as: V. Mugnaini et al., Solid State Sci. (2007), doi:10.1016/j.solidstatesciences.2007.09.021 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 ARTICLE IN PRESS SSSCIE3008_proof 23 October 2007 3/5 OO examined and the real signals; this is accomplished by applying an AC magnetic field so as to modulate the Larmor frequency with a modulation frequency to be fed as a reference in a lock-in amplifier. The proper ratio between the modulation intensity to be chosen and the modulation frequency is 2 and a sketch of the complete apparatus used for all the measurements reported here can be found in Ref. [3]. While recording the STM image, we localized the tip on the TTM aggregates and recorded an rf spectrum in the frequency range around the Larmor frequency; during this spectroscopy operation, the tunnelling current was temporarily raised to 1 nA. The parameter chosen as statistical indicator of the intensity of the candidate signals is the difference of the maximum positive peak and the minimum negative peak divided by the standard deviation (Pk Pk/s). For each of the spectra, the Pk Pk/s parameter was determined using an automatic routine especially written to analyze this type of data [14]. Nevertheless, each of the spectra has been individually checked to control the possible presence of a proper derivative shape as well as that the distance between the maximum and the minimum peak was of some kHz, i.e. comparable with the concerned parameters of the measurement (the corresponding modulation intensity of the frequency and the resolution band width of the spectrum analyzer). Only after this check we could finally consider the candidate signal as an ESN signal, as it is the case for the spectrum reported in Fig. 4. Even though the set up has been designed and realized to be free of any kind of environmental noise in the radio frequency range [3], it is important to distinguish between ESN-STM signal and the environmental noise at the same working frequency. Therefore, we first took over 1000 spectra on the gold substrate with the tip slightly retracted and out of tunnelling. We could in this way establish the threshold value corresponding to the radio frequency noise level. Once the threshold was established, we worked in tunnelling conditions on the radical molecules. The Pk Pk/s histogram for each set of measurements refers to a set of experiments performed at one working frequency and with a span of 3 MHz. Due to CO RR E CT ED a feedback to perform standard STM operations e so to be amplified and then monitored by a spectrum analyzer. An important aspect to deal with when performing these experiments is the transient nature of the signal, i.e. the intrinsic instability in frequency that may cause failure in detecting the paramagnetic centres. Therefore, it appears mandatory to repeat the experiment on many single molecules or aggregates to get statistically significant results. Moreover, the level of the signal we want to detect is quite low [3], and only a large number of spectra and a statistical analysis of the collected data can make these measurements reliable. The phase sensitive detection (PSD) method, implemented by one of the authors [13], has been used in order to distinguish between spurious signals which might accidentally exist at the frequency PR Fig. 2. (a) STM image (322 322 nm) of TTM dispersed on Au(111). Tip sample bias 0.3 V and tunnelling current 15 pA. (b) STM image (60 60 nm) of TTM dispersed on Au(111). Tip sample bias 0.3 V and tunnelling current 15 pA. (c) Zoom of one of the ordered domains: the periodicity of the rows corresponds to 1.5 0.1 nm as shown in the inset figure. UN 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 3 F V. Mugnaini et al. / Solid State Sciences xx (2007) 1e5 Fig. 3. Top: the signal of the dip and rinse TTM sample. MW frequency 9.40388 GHz, power 20 mW, Mod. Amp. 1 G, field modulation frequency 100 kHz. g-Value 2.00343; ESR cavity: standard TE102. The over-modulated spectrum shows one line arising from TTM of Lw ¼ 3.14 G. The small signal at lower g-value is arising from the Au/mica substrate, as shown in the bottom spectrum. Bottom: the ESR spectrum of the substrate under the same experimental conditions. Please cite this article in press as: V. Mugnaini et al., Solid State Sci. (2007), doi:10.1016/j.solidstatesciences.2007.09.021 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 Q3318 319 320 321 Q4322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 ARTICLE IN PRESS V. Mugnaini et al. / Solid State Sciences xx (2007) 1e5 4 the uncertainty in the value of the applied magnetic field, experiments were performed in different frequency ranges. The statistical analysis of all the recorded data shows some peculiar characteristics of the TTM radical with respect to the noise, opening the way towards the use of ESN-STM to detect single spins on the surface. While the noise distribution is symmetric around the central value and fitted properly by Gaussian symmetric function (Fig. 5), the histogram for TTM aggregates is right skewed and well fitted by the asymmetric Gaussian function [15]: OO F y ¼ y0 þ B exp ðx xc Þ 2s21 and B ¼ A=ðs1 þ s2 =2Þ ð2pÞ0:5 ; if x xc ð1Þ y ¼ y0 þ B exp ðx xc Þ 2s22 and B 0:5 PR ¼ A=ðs1 þ s2 =2Þ ð2pÞ ; if x > xc ð2Þ RR E CT ED where the centre of the distribution (xc) and the widths s1 and Q5 s2 are free parameters optimized during the fitting. When using this function to fit the noise data, s1 and s2 turned out to be coincident, as expected for a symmetric distribution. Instead, the best fitting of the TTM histogram gave a slightly higher value for the centre and, which is more interesting, a difference between s1 and s2 of 0.21, a clear indication of the asymmetry in the distribution. This asymmetry means that the total number of events whose Pk Pk/s is larger than the xc value of the noise histogram is higher for the TTM than for the noise. Therefore, we can conclude that not only the percentage of spectra above the threshold, but also considerations on the asymmetry of the statistical distributions must be taken into account when performing ESN-STM experiments on molecules deposited onto a solid surface. We are currently working on the elaboration of a physical model able to explain the asymmetry in our results. CO Fig. 4. Top: ESN-STM image of TTM dispersed on gold, without any filtering. The sample was prepared by the dip and rinse procedure. While scanning ESN spectra are acquired in correspondence of detected objects, in particular the ESN spectrum presented in the bottom part corresponds to the aggregate number 10. UN 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 SSSCIE3008_proof 23 October 2007 4/5 Fig. 5. Left: the histogram of the out of tunnelling noise (1024 spectra) at 255 MHz and its Gaussian fit. Right: the histogram of the TTM radicals (532 spectra) at the same frequency and in black its asymmetric fit. As a comparison the fit of the noise (in grey) is superimposed to the TTM one. Please cite this article in press as: V. Mugnaini et al., Solid State Sci. (2007), doi:10.1016/j.solidstatesciences.2007.09.021 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 ARTICLE IN PRESS SSSCIE3008_proof 23 October 2007 5/5 V. Mugnaini et al. / Solid State Sciences xx (2007) 1e5 References OO F [1] Y. Manassen, R.J. Hamers, J.E. Demuth, A.J. Castellano Jr., Phys. Rev. Lett. 62 (1989) 2531. [2] C. Durkan, M.E. Welland, Appl. Phys. Lett. 80 (2002) 458. [3] P. Messina, M. Mannini, A. Caneschi, D. Gatteschi, L. Sorace, P. Sigalotti, C. Sandrin, S. Prato, P. Pittana, Y. Manassen, J. Appl. Phys. 101 (2007) 053916. [4] C. Durkan, Contemp. Phys. 45 (2004) 1. [5] P. Krukowski, W. Olejniczak, Z. Klusek, M. Puchalski, P. Kobierski, K. Gwozdzinski, Appl. Phys. A, submitted for publication. [6] (a) M. Mannini, L. Sorace, L. Gorini, F.M. Piras, A. Caneschi, A. Magnani, S. Menichetti, D. Gatteschi, Langmuir 23 (2007) 2389; (b) M. Mannini, P. Messina, L. Sorace, L. Gorini, M. Fabrizioli, A. Caneschi, Y. Manassen, P. Sigalotti, P. Pittana, D. Gatteschi, Inorg. Chim. Acta (2007). doi:10.1016/j.ica.2007.02.005. [7] C. Sporer, I. Ratera, D. Ruiz-Molina, Y. Zhao, J. Vidal-Gancedo, K. Wurst, P. Jaitner, K. Clays, A. Persoons, C. Rovira, J. Veciana, Angew. Chem. Int. Ed. 43 (2004) 5266. [8] N. Crivillers, M. Mas-Torrent, S. Perruchas, N. Roques, J. Vidal-Gancedo, J. Veciana, C. Rovira, L. Basabe-Desmonts, B. Jan Ravoo, M. CregoCalama, D.N. Reinhoudt, Angew. Chem. Int. Ed. 46 (2007) 2215. [9] D. Maspoch, D. Ruiz-Molina, K. Wurst, N. Domingo, M. Cavallini, F. Biscarini, J. Tejada, C. Rovira, J. Veciana, Nat. Mater. 2 (2003) 190. [10] V. Lloveras, J. Vidal-Gancedo, D. Ruiz-Molina, T.M. Figueira-Duarte, J.-F. Nierengarten, J. Veciana, C. Rovira, Faraday Discuss. 131 (2006) 291. [11] O. Armet, J. Veciana, C. Rovira, J. Riera, J. Casta~ner, E. Molins, J. Rius, C. Miratvilles, S. Olivella, J. Brichfeus, J. Phys. Chem. 91 (1987) 5608. [12] A.V. Balatsky, I. Martin, Quant. Inform. Process. 1 (2002) 53. [13] Y. Manassen, J. Magn. Reson. 126 (1997) 133. [14] We acknowledge P. Pittana for writing the script to perform the automatic analysis of the spectra. [15] The function used is reported in the User Manual of the program Origin, v. 7.5, CopyrightÓ 2003 by OriginLab Corporation. ED We have demonstrated the effectiveness of the ESN-STM in locating and studying TTM radical derivatives physisorbed as small aggregates lower than 10 nm in diameter on gold surface. The obtained promising results prompt us in improving the control of the dimension of the radicals deposited on gold and then exploit the possibilities of this technique following how the spin noise signal depends on the nanometer size of the aggregate. In conclusion, these molecules retain their paramagnetic character, as shown by ESR, which allowed us to detect a few good ESN spectra. The performed statistical analQ6 ysis makes us confident about our results. The preliminary results so far obtained look promising, although a proper implementation of the equipment is still required to exploit the possibilities of this new technique. Further improvements of the experimental system are in progress. These include improving the matching between the detector and the STM, adding a reactive component in parallel to the STM tunnelling junction (tuning) and cooling to 4 K. We expect that these steps will significantly improve our ability to study the paramagnetic molecules at the single spin level. V.M. and I.R. are grateful to CSIC and Ministerio Educación y Ciencia for an I3P postdoctoral contract and a ‘‘Ramon y Cajal’’ contract, respectively. Y.M. thanks the WOLFSON and the BSF foundations for funding. PR 5. Conclusions Acknowledgements CO RR E CT P. Messina and P. Pittana are gratefully acknowledged for useful discussions. APE Research Company is acknowledged for their technical support for ESN-STM instrumentation. P. Pittana is thanked for the implementation in the automatic routine analysis of the ESN spectra. This work was supported by the Dirección General de Investigación (Spain) (Project Consolider-C EMOCIONa CTQ2006-06333/BQU), the Generalitat de Catalunya (Project 2005 SGR-00591), Italian MIUR through FIRB and PRIN projects, and European Commission through Network of Excellence MAGMANet (NMP3CT-2005-515767), and QueMolNa (MRTN-CT-2003-504880). UN 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 5 Please cite this article in press as: V. Mugnaini et al., Solid State Sci. (2007), doi:10.1016/j.solidstatesciences.2007.09.021 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 Q7 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 Q8 535 536 537 538
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