Biomimetic complexes of Cd(II), Mn(II), and Zn(II) with 2-aminomethylbenzimidazole. EGA/MS characterization of the thermally induced decomposition

Risoluti, Roberta; Gullifa, Giuseppina; Fabiano, Maria Aurora; Wo, L. W.; Materazzi, Stefano

doi:10.1134/s1070363217020244

Cited by 9 publications

(3 citation statements)

References 36 publications

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“…As a result of a ten-year-long study, Risoluti and Materazzi compared the information obtained by simple thermoanalytical characterizations of biomimetic complexes of imidazole substituted ligands with transition metal ions [ 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 ] with those completed by EGA-MS characterization [ 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 ] and demonstrated how fundamental an evolved gas analysis approach is to rigorously propose a typical thermal behavior.…”

Section: Applications To Complexes and Compoundsmentioning

confidence: 99%

On-Line Thermally Induced Evolved Gas Analysis: An Update—Part 1: EGA-MS

et al. 2022

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Advances in on-line thermally induced evolved gas analysis (OLTI-EGA) have been systematically reported by our group to update their applications in several different fields and to provide useful starting references. The importance of an accurate interpretation of the thermally-induced reaction mechanism which involves the formation of gaseous species is necessary to obtain the characterization of the evolved products. In this review, applications of Evolved Gas Analysis (EGA) performed by on-line coupling heating devices to mass spectrometry (EGA-MS), are reported. Reported references clearly demonstrate that the characterization of the nature of volatile products released by a substance subjected to a controlled temperature program allows us to prove a supposed reaction or composition, either under isothermal or under heating conditions. Selected 2019, 2020, and 2021 references are collected and briefly described in this review.

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Section: Applications To Complexes and Compoundsmentioning

confidence: 99%

On-Line Thermally Induced Evolved Gas Analysis: An Update—Part 1: EGA-MS

et al. 2022

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“…For example, Salari et al proposed using the Chan-Unscented Kalman Filter (UKF) algorithm as a way to reduce the influence of the initial value on the positioning accuracy [4,5]. Risoluti et al proposed to reduce the local convergence in the TDOA solution process using an enhanced genetic algorithm (EGA) [6]. Gan et al proposed using quantum-behaved particle swarm optimization (QPSO), which has a quicker global search, to improve the speed of positioning [7,8], and search traversal methods like the maximum likelihood and the spherical interpolation [9].…”

Section: Introductionmentioning

confidence: 99%

A Method of FPGA-Based Extraction of High-Precision Time-Difference Information and Implementation of Its Hardware Circuit

Yan

et al. 2019

Sensors

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The positioning technology to find shallow underground vibration sources based on a wireless sensor network is receiving great interest in the field of underground position measurements. The slow peaking and strong multi-waveform aliasing typical of the underground vibration signal result in a low extraction accuracy of the time difference and a poor source-positioning accuracy. At the same time, the transmission of large amounts of sensor data and the host computer’s slow data processing speed make locating a source a slow process. To address the above problems, this paper proposes a method for high-precision time-difference measurements in near-field blasting and a method for its hardware implementation. First, based on the broadband that is typical of blast waves, the peak frequency of the P-wave was obtained in the time–frequency domain, taking advantage of the difference in the propagation speed of the P-wave, S-wave, and the surface wave. Second, the phase difference between two sensor nodes was found by means of a spectral decomposition and a correlation measurement. Third, the phase ambiguity was eliminated using the time interval of the first break and the dynamic characteristics of the sensors. Finally, following a top-down design idea, the hardware system was designed using Field Programmable Gate Array(FPGA). Verification, using both numerical simulations and experiments, suggested that compared with generalized cross-correlation-based time-difference measurement methods, the proposed method produced a higher time-difference resolution and accuracy. Compared with the traditional host computer post-position positioning method, the proposed method was significantly quicker. It can be seen that the proposed method provides a new solution for solving high-precision and quick source-location problems, and affords a technical means for developing high-speed, real-time source-location instruments.

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“…This behavior was recorded with ligands, such as (1-methylimidazol-2-yl)ketone, dopamine, and derived structures. All these studies are described in the references [57,58,59,60,61,62,63,64,65,66,67,68] and are the experimental evidences on which the proposed model is based. This thermally induced behavior, and the consequently derived model, is proposed as a tool to provide stability information on the complexes to be related to speciation studies.…”

Section: Introductionmentioning

confidence: 99%

Modeling Solid State Stability for Speciation: A Ten-Year Long Study

et al. 2019

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Speciation studies are based on fundamental models that relate the properties of biomimetic coordination compounds to the stability of the complexes. In addition to the classic approach based on solution studies, solid state properties have been recently proposed as supporting tools to understand the bioavailability of the involved metal. A ten-year long systematic study of several different complexes of imidazole substituted ligands with transition metal ions led our group to the definition of a model based on experimental evidences. This model revealed to be a useful tool to predict the stability of such coordination complexes and is based on the induced behavior under thermal stress. Several different solid state complexes were characterized by Thermally Induced Evolved Gas Analysis by Mass Spectrometry (TI-EGA-MS). This hyphenated technique provides fundamental information to determine the solid state properties and to create a model that relates stability to coordination. In this research, the model resulting from our ten-year long systematic study of complexes of transition metal ions with imidazole substituted ligands is described. In view of a systematic addition of information, new complexes of Cu(II), Zn(II), or Cd(II) with 2-propyl-4,5-imidazoledicarboxylic acid were precipitated, characterized, and studied by means of Thermally Induced Evolved Gas Analysis performed by mass spectrometry (TI-EGA-MS). The hyphenated approach was applied to enrich the information related to thermally induced steps, to confirm the supposed decomposition mechanism, and to determine the thermal stability of the studied complexes. Results, again, allowed supporting the theory that only two main characteristic and common thermally induced decomposition behaviors join the imidazole substituted complexes studied by our group. These two behaviors could be considered as typical trends and the model allowed to predict coordination behavior and to provide speciation information.

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Biomimetic complexes of Cd(II), Mn(II), and Zn(II) with 2-aminomethylbenzimidazole. EGA/MS characterization of the thermally induced decomposition

Cited by 9 publications

References 36 publications

On-Line Thermally Induced Evolved Gas Analysis: An Update—Part 1: EGA-MS

On-Line Thermally Induced Evolved Gas Analysis: An Update—Part 1: EGA-MS

A Method of FPGA-Based Extraction of High-Precision Time-Difference Information and Implementation of Its Hardware Circuit

Modeling Solid State Stability for Speciation: A Ten-Year Long Study

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