Spectra Of Complexes Research Articles

The CXSFIT spectral fitting code: Past, present and future.

Magnetically confined plasma experiments generate a wealth of spectroscopic data. The first step toward extracting physical parameters is to fit a spectral model to the often complex spectra. The CXSFIT (Charge eXchange Spectroscopy FITting) spectral fitting code was originally developed for fitting charge exchange spectra on JET from the late 1980s onward and has been further developed over decades to keep up with the needs of the users. The primary use is to efficiently fit a large number of spectra with many constrained Gaussian spectral lines of which the physical parameters can be coupled in a user-friendly manner. More recent additions to the code include time-dependent couplings between parameters, flexible background subtraction, and a non-linear coupling scheme between fit parameters. The latter was a pre-requisite for implementing Zeeman and motional Stark effect multiplets in the library of spectral features. The ability to save and replay "fit recipes," even when multiple iterations are required, has ensured the traceability of the results and is one of the keys to the longevity and success of the code. The code is also in use on other tokamaks (AUG, ST-40) and to fit data from other spectroscopic diagnostics on JET. In this paper, we document the current capabilities and philosophy behind the structure of the code, including some of the algorithms used to calculate spectral features numerically efficiently. We also provide an outline of how CXSFIT could be transferred into a framework that would be able to meet the spectral fitting requirements of future devices, such as ITER.

TinyML-Raman: A novel IoT based field-deployable spectra analysis for accurate identification of pharmaceuticals and trace dye-pesticide mixtures from facile SERS method

BackgroundUpcoming inexpensive, compact Internet of Things (IoT) microcontrollers i.e., tiny-machine learning (TinyML) takes the ML driven Raman spectroscopy one step ahead for realization of more affordable and highly compact field deployable instruments. Further, lack of large spectral datasets and need for numerous specialized SERS substrates impede the development of various ML-based surface enhanced Raman spectroscopy (SERS) applications. The aim is to introduce TinyML analysis on wide range of spectra classes using customized dataset obtained with low-cost SERS. In this regard, it is vital to establish an optimum ML model and efficient data handling methodology for low memory TinyML units. ResultsWe introduce a novel TinyML methodology for accurate classification of large spectra classes with smartphone assistance for data communication and results visualization. To generate large customized spectral dataset, we present a facile, micro-drop SERS using Au colloids and reusable grooved Al substrates. The results demonstrated that memory efficient 8-bit data quantization based convolutional neural network is effective for accurate identification of 22 different spectra classes of trace dye-pesticide mixtures and pharmaceuticals. In this novel quantized data analysis on significantly varied intensity and complex variation spectra classes i.e., many individual, binary-mixtures and some with varied compositions, data normalization is shown to be powerful for improving ML classification accuracy from about 55 % to >99.5 %. Its robustness is demonstrated using inter-instrument driven data variations such as spectral shifts, high noise, and abscissa-flip, with five-fold cross validation of model performance. In addition, on-site quantification of analyte through spectral intensity is also demonstrated. SignificanceThis study opens up a new approach of ML analysis towards realization of next generation field deployable analytical instruments maintaining data privacy. It presents a detailed procedure of quantized spectral data analysis and its implementation in TinyML, attractive for various users and instrument manufacturers. The presented innovative computer-free ML analysis can be employed in all types of spectrometers, meeting the common goal of Raman spectroscopy i.e., accurate identification of complex spectra classes.

Interactions of coinage metal nanoclusters with low-molecular-weight biocompounds.

Nowadays, coinage metal nanoclusters (NCs) are largely presented in diagnostics, bioimaging, and biocatalysis due to their high biocompatibility, chemical stability, and sensitivity to surrounding biomolecules. Silver and gold NCs are usually characterized by intense luminescence and photostability, which is in great demand in the detection of organic compounds, ions, pH, temperature, etc. The experimental synthesis of metal NCs often occurs on biopolymer templates, mostly DNA and proteins. However, this review mainly focuses on the interactions with small biomolecules (SBMs) of a molecular weight less than 1000 Da: amino acids, nucleobases, thiolates, oligopeptides, etc. Such molecules can serve as the templates for an eco-friendly facile one-pot synthesis of biocompatible luminescent NCs. The latter aspect makes NCs suitable for diagnostics and intracellular bioimaging. Another important aspect is the interaction of clusters with biomarkers, which is largely exploited by nanosensors: biomarker detection often occurs through either fluorescence emission "turn-on" or "turn-off" mechanisms. Moreover, as theoretical studies show, electronic absorption spectra and Raman spectra of the metal-organic complexes allow efficient detection of various analytes. In this regard, both theoretical and experimental studies of SBM complexes with metal NCs are in great demand. Therefore, this review aims to summarize up-to-date studies on the interaction of small biomolecules with coinage metal NCs from both theoretical and experimental viewpoints.

Synthesis, spectral elucidation and DNA binding studies of cadmium(II) carboxylates with nitrogen donor heteroligands

A new series of novel homoleptic and heteroleptic Cd(II) complexes using cyclopropanecarboxylic acid (HL1) and cyclopentanecarboxylic acid (HL2) as main ligands and N-donor species like 2,2′-bipyridine (bpy), 1,10-phenanthroline (phen), and 2,9-dimethyl-1,10-phenanthroline (Me2phen) as co-ligands were prepared and characterized by FT-IR, multinuclear (1H and 13C) NMR, and UV–Visible spectroscopies. Furthermore, the crystal structure of the Cd(II) complex coordinated by cyclopentanecarboxylic acid (HL2) and 1,10-phenanthroline (phen) was explored by single crystal X-ray diffraction (SC-XRD) analysis. The crystal structure was binuclear, in which the coordination geometry around each cadmium center was distorted pentagonal bipyramidal coordination geometry. Various intermolecular interactions were accountable for stabilizing the supramolecular associations, which were seen by Hirshfeld surface analysis in terms of interatomic contacts. The spectroanalytical data of the synthesized complexes confirm the absence of the –OH band in the spectra of complexes as compared to the spectra of the free ligands, which favour the formation of complexes. The nature of complex-DNA interaction and the effect of the coordination of heteroligands on the binding strength of complexes were probed through UV–Visible spectroscopy and cyclic voltammetry. The obtained data confirm that the interaction of DNA with the complexes is dual: intercalation as well as groove binding. The DNA binding constants (Kb) and Gibb’s free energy changes (ΔG) were also determined for these complexes. This study aims to project effective drugs with the least harmful effects that could be useful for mankind against dreadful diseases.

Non-self-adjoint quasi-periodic operators with complex spectrum

We give a precise and complete description on the spectrum for a class of non-self-adjoint quasi-periodic operators acting on ℓ2(Zd) which contains the Sarnak's model as a special case. As a consequence, one can see various interesting spectral phenomena including PT symmetric breaking, the non-simply-connected two-dimensional spectrum in this class of operators. Particularly, we provide new examples of non-self-adjoint operator in ℓ2(Z) whose spectra (actually a two-dimensional subset of C) can not be approximated by the spectra of its finite-interval truncations.

The evolving spectrum of complex inherited neuropathies.

Inherited peripheral neuropathies can be divided into those diseases in which peripheral neuropathy is the sole or main feature of the disease (Charcot-Marie-Tooth disease) and those in which peripheral neuropathy is just one feature of a more complex syndrome. In recent years there has been a substantial expansion in the number of genes associated with complex neuropathy syndromes. This review will focus on emerging themes in this group of diseases, namely the increasing number of diseases due to repeat expansions; the emergence of both recessive and dominant negative alleles in the same gene producing a common phenotype and diseases in which there is selective loss of the allele from haematopoietic stem cells making genetic diagnosis on blood derived DNA problematic. In this review we provide a practical approach to investigating and diagnosing patients with peripheral neuropathy as part of a complex syndrome and provide an updated table of the genes associated with this group of diseases.

The Racialization of Killer Whales: An Application of Gene-Culture Coevolutionary Theory

Abstract An expanding body of research aims to identify culture in cetaceans, often positing killer whales as an exemplar species. To this end, gene-culture coevolutionary theory provides a conceptual language with which whales are discussed in raciological terms. It renders killer whale ecotypes as discrete cultures that are intrinsically xenophobic and evolutionarily divergent. Such research on whale culture intends to substantiate theories of divergent natural selection between human cultures as well. This effort furthers the essentialism, simultaneously biological and cultural, that has long impelled colonial technoscientific projects of racial typologization. The exchange between the raciologies of humans and killer whales is facilitated by the infrahumanizing frameworks of gene-culture coevolutionary theory that locate whale populations alongside indigenous peoples on a spectrum of cultural simplicity and complexity. At this convergence of the animal and the human, gene-culture coevolutionary theory posits indigenous peoples and killer whales as evidence for social Darwinist theories that dehistoricize and naturalize intercultural conflict and ethnicization. The extension of raciology beyond the human species signals an urgent need to decolonize the biological sciences.

Biocompatibility and expression of transcription factors of a type B gelatin-Extracellular Matrix of Porcin Urinary Blader scaffold.

to evaluate a membrane based on type B gelatin (G) and porcine urinary bladder extracellular matrix (PUB-EM), highlighting the potential effect of the combination evaluated by biocompatibility and regulation of the expression of transcription factors involved in tissue regeneration. G-PUB-EM membranes were prepared at 12.5, 25, and 50% w/v, and evaluated for biocompatibility with Fibroblast. Chemical characterization by FTIR-ATR showed complex spectra during crosslinking process with glutaraldehyde. Physical tests were performed in deionized water and PBS for 48 h. A significant increase in swelling was observed during the first 2 h. Biocompatibility testing (MTS) and evaluation of the expression profile of genes involved in the cell cycle (Cyclin-D1 VEGF, TNF and NF-κ-B) by PCR showed an increase in viability in a PUB-EM content-dependent way, except for 50% PUB-EM membrane which showed cytotoxic effects with a decrease in cell viability below 70%. The membranes showed an increase in the expression of some factors of cell cycle, as well as inflammatory processes that could promote tissue repair. 12.5 and 25% gelatin type B/porcine urinary bladder extracellular matrix (G/PUB-EM) based membranes have potential for tissue regeneration applications. The use of membranes based on type B gelatin and porcine urinary bladder for tissue engineering represents a novel strategy. Biocompatibility and signaling pathways play a primary role in tissue repair and wound recovery. Transcription factors that mediate signaling, cell division and vascularization are part of molecules that intervene in the regenerative potential of cells. These techniques will have a significant impact on tissue repair and regeneration and thus stop depending on tissue donors or other surgical sites from the same patient, as is the case with burn patients.

Family Language Policies for Maintaining Arabic as a Home Language in Italy: The AHLI Project

The AHLI Project, focusing on Arabic as a Home Language in Italy, explores family language policies among Arabic-speaking communities. Employing an interdisciplinary approach and a mixed-method design, the research reveals a complex linguistic spectrum. It uncovers the dynamic interplay between language maintenance and shift, the desire to transmit Arabic, attitudes, and family choices. While highlighting the significant presence of Arabic in linguistic repertoires, disparities between practices and beliefs emerge. The findings bear theoretical and practical implications for promoting democratic plurilingual education and guiding language policy actions at both micro and macro levels.

New nano-complexes targeting protein 3S7S in breast cancer and protein 4OO6 in liver cancer investigated in cell line

Cancer, a lethal ailment, possesses a multitude of therapeutic alternatives to combat its presence, metal complexes have emerged as significant classes of medicinal compounds, exhibiting considerable biological efficacy, especially as anticancer agents. The utilization of cis-platin in the treatment of various cancer types, including breast cancer, has served as inspiration to devise novel nanostructured metal complexes for breast cancer therapy. Notably, homo- and hetero-octahedral bimetallic complexes of an innovative multifunctional ether ligand (comprising Mn(II), Ni(II), Cu(II), Zn(II), Hg(II), and Ag(I) ions) have been synthesized. To ascertain their structural characteristics, elemental and spectral analyses, encompassing IR, UV–Vis, 1H-NMR, mass and electron spin resonance (ESR) spectra, magnetic moments, molar conductance, thermal analysis, and electron microscopy, were employed. The molar conductance of these complexes in DMF demonstrated a non-electrolytic nature. Nanostructured forms of the complexes were identified through electron microscopic data. At ambient temperature, the ESR spectra of the solid complexes exhibited anisotropic and isotropic variants, indicative of covalent bonding. The ligand and several of its metal complexes were subjected to cytotoxicity testing against breast cancer protein 3S7S and liver cancer protein 4OO6, with the Ag(I) complex (7) evincing the most potent effect, followed by the Cu(II) with ligand (complex (2)), Cis-platin, the ligand itself, and the Cu(II)/Zn(II) complex (8). Molecular docking data unveiled the inhibitory order of several complexes.

Meshed, Flexible, and Self-Supported Humidity Sensors by Direct-Writing with Multifunctional Applications.

Flexibility endows humidity sensors with new applications in human health monitoring except for traditionally known environmental humidity detection in recent years. In this study, a flexible, mesh-structured, and self-supported humidity sensor was designed and manufactured by direct writing in a homemade two-dimensional stepping numerical control workstation. Bacterial cellulose with humidity sensitivity and good film-forming properties was applied as the self-supporting substrate, in which conductive activated carbon and water-absorptive magnesium chloride (MgCl2) were incorporated. The humidity sensing performance of the printed sensor was measured and optimized. Besides, the fundamental insight into the sensing mechanism of the printed humidity sensor was analyzed by a complex impedance spectrum. The multifunctional applications of the self-supported humidity sensor were demonstrated by human breathing detection, noncontact distance sensing, and speaking recognition. The simple self-supported structure combined with the meshed attribute of the flexible sensor showed large use potential in real-time monitoring of human respiration, voice detection, environmental humidity monitoring, and noncontact switches.

Machine Learning-Assisted Raman Spectroscopy and SERS for Bacterial Pathogen Detection: Clinical, Food Safety, and Environmental Applications

Detecting pathogenic bacteria and their phenotypes including microbial resistance is crucial for preventing infection, ensuring food safety, and promoting environmental protection. Raman spectroscopy offers rapid, seamless, and label-free identification, rendering it superior to gold-standard detection techniques such as culture-based assays and polymerase chain reactions. However, its practical adoption is hindered by issues related to weak signals, complex spectra, limited datasets, and a lack of adaptability for detection and characterization of bacterial pathogens. This review focuses on addressing these issues with recent Raman spectroscopy breakthroughs enabled by machine learning (ML), particularly deep learning methods. Given the regulatory requirements, consumer demand for safe food products, and growing awareness of risks with environmental pathogens, this study emphasizes addressing pathogen detection in clinical, food safety, and environmental settings. Here, we highlight the use of convolutional neural networks for analyzing complex clinical data and surface enhanced Raman spectroscopy for sensitizing early and rapid detection of pathogens and analyzing food safety and potential environmental risks. Deep learning methods can tackle issues with the lack of adequate Raman datasets and adaptability across diverse bacterial samples. We highlight pending issues and future research directions needed for accelerating real-world impacts of ML-enabled Raman diagnostics for rapid and accurate diagnosis and surveillance of pathogens across critical fields.

Enhanced Declustering Enables Native Top-Down Analysis of Membrane Protein Complexes using Ion-Mobility Time-Aligned Fragmentation.

Native mass spectrometry (MS) is proving to be a disruptive technique for studying the interactions of proteins, necessary for understanding the functional roles of these biomolecules. Recent research is expanding the application of native MS towards membrane proteins directly from isolated membrane preparations or from purified detergent micelles. The former results in complex spectra comprising several heterogeneous protein complexes; the latter enables therapeutic protein targets to be screened against multiplexed preparations of compound libraries. In both cases, the resulting spectra are increasingly complex to assign/interpret, and the key to these new directions of native MS research is the ability to perform native top-down analysis, which allows unambiguous peak assignment. To achieve this, detergent removal is necessary prior to MS analyzers, which allow selection of specific m/z values, representing the parent ion for downstream activation. Here, we describe a novel, enhanced declustering (ED) device installed into the first pumping region of a cyclic IMS-enabled mass spectrometry platform. The device enables declustering of ions prior to the quadrupole by imparting collisional activation through an oscillating electric field applied between two parallel plates. The positioning of the device enables liberation of membrane protein ions from detergent micelles. Quadrupole selection can now be utilized to isolate protein-ligand complexes, and downstream collision cells enable the dissociation and identification of binding partners. We demonstrate that ion mobility (IM) significantly aids in the assignment of top-down spectra, aligning fragments to their corresponding parent ions by means of IM drift time. Using this approach, we were able to confidently assign and identify a novel hit compound against PfMATE, obtained from multiplexed ligand libraries.

Effect of soil compaction on the measurements of complex dielectric permittivity spectrum with an open-ended antenna probe and the coaxial cell system

The paper proposes the use of dielectric spectroscopy to measure changes in dielectric permittivity for soil subjected to compression. Density-dependent dielectric permittivity characteristics of soils for the entire range of obtained density, and thus for a significant parameter of soil properties corresponding with ideal conditions for plant growth as well as those inhibiting their growth were presented. Measurements were carried out for three soil types with different moisture content using an open-ended antenna probe (OE-A), operating in the frequency range of 20 MHz–1.2 GHz and a coaxial cell system in frequency range of 20 MHz–3 GHz. Experimental results showed that an increase in bulk density and volumetric water content of soil affects the complex dielectric permittivity spectrum – a model for this relationship was proposed. Soil dielectric permittivity as a parameter reflecting soil moisture and density can be useful in assessing soil quality.

Ultrabroadband two-beam coherent anti-Stokes Raman scattering and spontaneous Raman spectroscopy of organic fluids: A comparative study.

Spontaneous Raman spectroscopy is a well-established diagnostic tool, allowing for the identification of all Raman active species with a single measurement. Yet, it may suffer from low-signal intensity and fluorescent background. In contrast, coherent anti-Stokes Raman scattering (CARS) offers laser-like signals, but the traditional approach lacks the multiplex capability of spontaneous Raman spectroscopy. We present an ultrabroadband CARS setup which aims at exciting the full spectrum (300-3700 cm-1) of biological molecules. A dual-output optical parametric amplifier provides a ~7 fs pump/Stokes and a ~700 fs probe pulse. CARS spectra of DMSO, ethanol, and methanol show great agreement with spontaneous Raman spectroscopy and superiority in fluorescent environments. The spectral resolution proves sufficient to differentiate between the complex spectra of L-proline and hydroxyproline. Moreover, decay constants in the sub picosecond range are determined for individual Raman transitions, providing an additional approach for sample characterization.

The development of Logix – An application for component-based case logging and surgical trainee assessment

BackgroundThe optimal training program to transform a new resident into a competent and capable surgeon is constantly evolving. Competency-based evaluation represents a change in mindset from quantitative or chronologic metrics for graduate readiness. As surgery becomes more specialized, more dependent on technology, and more public, we must continue to improve our ability to pass on technical skills. Approaching surgery in a component-based fashion enables even the most complex operation to be broken down into smaller sets of steps that range the entire spectrum of complexity. Treating an operation through the lens of its components, emphasizing stepwise forward progression in a trainee's experience, may provide a way to train competent surgeons more efficiently. Current case-logging products do not provide adequate granularity to apply this methodology. MethodsApplication design relied on the involvement of local surgeons from all specialties and subspecialties related to general surgical training. Individual interviews with multiple experts in each field were used to generate a list of most commonly performed operations. Once a consensus was reached, the same surgeons were queried on what they felt were the core steps that make up each operation. This information was utilized to create a novel mobile application which enables the user to record cases by date, attending surgeon, specific operation, and which portions of the operation they were able/allowed to perform. ConclusionComponent-based case logging through the Logix application may be a useful adjunct as we continue to implement competency-based surgical training. Future investigation will assess user experience and compare subjective and objective metrics of training progression between the Logix application and currently utilized products. The information provided by the application stands to benefit not just trainees, but educators, training programs, and regulatory bodies. Key messageComponent-based case logging via a novel mobile application stands to increase the efficiency of surgical training and more effectively assess trainee competency.

MRI Imaging Appearance in Mullerian Duct Anomalies

Abstract Background Müllerian duct anomalies include a complex spectrum of anatomical anomalies that arise from deviations during the normal development of the Müllerian ducts. In paediatrics, such defects cannot present with any clinical symptoms before puberty, yet, they can also have obstructive symptoms or a mass effect due to presence of a non communicating rudimentary horn or transverse vaginal septum. At the beginning of puberty, girls with these anomalies might have primary amenorrhea, pelvic pain or endometriosis. Müllerian duct anomalies have also associated with a variety of other congenital abnormalities. Aim of the Work To review MRI features of Mullerian Duct Anomalies and classify them according to ASRM and ESHRE-ESGE classifications. Patients and Methods The study was a case series study that included 37 patients who underwent pelvic MRI at Radiology Department “Ain Shams University hospitals” in Cairo, Egypt. Results In our study, Hypoplastic, Agenesis and Didelphysis found to have the same ratio of (21.6%), while Bicornuate uterus was (13.5%), septate (8.1%), unicornuate and transverse vaginal septum all were of (5.4%) incidence and the least common was arcuate uterus with (2.7%) incidence. Conclusion MRI is a highly helpful technique for evaluating female genital abnormalities and is able to consistently provide the essential imaging characteristics for the accurate identification of Mullerian malformations. Additionally, incidental pelvic disease and any related renal abnormalities may be thoroughly evaluated by MRI in a single scan, removing the need for additional diagnostic procedures.

On the Nature of the Radio Calibrator and Gamma-Ray Emitting NLS1 Galaxy 3C 286 and Its Multiwavelength Variability

The quasar 3C 286, a well-known calibrator source in radio astronomy, was found to exhibit exceptional multiwavelength properties. Its rich and complex optical emission-line spectrum revealed its narrow-line Seyfert 1 (NLS1) nature. Given its strong radio emission, this makes 3C 286 one of the radio-loudest NLS1 galaxies known to date. 3C 286 is also one of very few known compact steep-spectrum (CSS) sources detected in the gamma-ray regime. Observations in the X-ray regime, rarely carried out so far, revealed evidence for variability, raising the question whether it is driven by the accretion disk or jet. 3C 286 is also well known for its damped Lyman alpha system from an intervening absorber at z = 0.692, triggering a search for the corresponding X-ray absorption along the line-of-sight. Here, we present new observations in the radio, X-ray, optical, and UV bands. The nature of the X-ray variability is addressed. Spectral evidence suggests that it is primarily driven by the accretion disk (not the jet), and the X-ray spectrum is well fit by a powerlaw plus soft excess model. The radio flux density and polarization remain constant at the Effelsberg telescope resolution, reconfirming the use of 3C 286 as radio calibrator. The amount of reddening/absorption along the line-of-sight intrinsic to 3C 286 is rigorously assessed. None is found, validating the derivation of a high Eddington ratio (L/LEdd ∼ 1) and of the very high radio-loudness index of 3C 286. Based on the first deep Chandra image of 3C 286, tentative evidence for hard X-ray emission from the SW radio lobe is reported. A large variety of models for the gamma-ray emission of 3C 286 are briefly discussed.

The classification of hiatal shapes and their use as a marker for complexity, operative interventions, and recurrence

BackgroundDiaphragmatic reconstruction is a vital, but challenging component of hiatal hernia and antireflux surgery. Results are optimized by minimizing axial tension along the esophagus, assessed with intra-abdominal length, and radial tension across the hiatus, which has not been standardized. We categorized hiatal openings into 4 shapes, as a surrogate for radial tension, to correlate their association with operative interventions and recurrence. MethodsWe retrospectively reviewed all primary hiatal hernias (≥3 cm) repaired at a single center between 2010 and 2020. Patients with intraoperative hiatal photos with at least 1 year of follow-up were included. The hiatal openings were classified into 4 shapes: slit, inverted teardrop, “D,” and oval, and ordered in this manner of hypothesized increased complexity and tension. ResultsA total of 239 patients were studied, with 113 (47%) having a recurrence. Age (P < .001), proportion of paraesophageal hernias (P < .001), hernia axial length (P < .001), and hiatal width (P < .001) all increased as shape progressed from slit to inverted teardrop to “D” to oval. Mesh (P = .003) and relaxing incisions (P < .001) were more commonly employed in more advanced shapes, “D” and ovals. However, recurrence (P = .88) did not correlate with hiatal shape. ConclusionFour different hiatal shapes are commonly seen during hernia repair. These shapes represent a spectrum of hernia chronicity and complexity necessitating increased use of operative measures but not correlating with recurrence. Despite failing to be a direct marker for recurrence risk, hiatal shape may serve as an intraoperative tool to inform surgeons of the potential need for additional hiatal interventions.

Novel Octahedral Nickel (II) Complex with Flexible Piperazinyl Moiety Exhibits Potent Cytotoxic Effect Along with Anti-Migratory and Anti-Metastatic Effect on Human Cancer Cells.

Synthesis of non-platinum transition metal complexes with N,O donor chelating ligand for application against pathogenesis of cancer with higher efficacy and selectivity is currently an important field of research. We assessed the anti-cancer effect of a mixed ligand Ni(II) complex on human breast and lung cancer cell lines in this investigation. Mononuclear mixed ligand octahedral Ni(II) complex [NiIIL(NO3)(MeOH)] complex (1), with tri-dentate phenol-based ligand 2,4-dichloro-6-((4-methylpiperazin-1-yl) methyl) phenol (HL) along with methanol and nitrate as ancillary ligand was prepared. Piperazine moiety of the ligand exists as boat conformation in this complex as revealed from single crystal X-ray study. UV-visible spectrum of complex (1) exhibits three distinct d-d bands due to spin-allowed 3 A2 g→3T1 g (P), 3 A2 g→3T1 g(F) and 3 A2 g→3T2 g(F) transitions as expected in an octahedral d8 system. Our study revealed that Complex (1) induces apoptotic cell death in mouse and human cancer cells such as mcf-7, A549 and MDA-MB-231 through transactivation of p53 and its pro-apoptotic downstream targets in a dose dependent manner. Furthermore, complex (1) was able to slow the migratory rate of MDA-MB-231 cells' in vitro as well as epithelia -mesenchymal transition (EMT), the key step for metastatic transition and malignancy. Over all our results suggest complex (1) as a potential agent in anti-tumor treatment regimen showing both cytotoxic and anti-metastatic activity against malignant neoplasia.