Non-conventional Techniques Research Articles

"Picket fence" an alternative clipping technique for wide necked and large aneurysms: technical nuances in a case series.

Complex aneurysms are a therapeutic challenge in contemporary neurosurgery. Several microsurgical and endovascular techniques have been proposed for their treatment. The picket fence clipping technique uses fenestrated clips, that are stacked not to reconstruct the neck of the aneurysm, but to create a duct to normalize the cerebral flow by reconstructing the dome. We present four illustrative cases using the picket fence clipping technique. The aneurysms considered were of different locations (ICA, MCA, AComA), of large or giant size with wide necks, in which clipping attempt with a conventional technique was not possible, so that the use of non-conventional clipping techniques had to be applied with favorable results. In our experience we found this technique useful in large and giant, wide-necked aneurysms by reconstructing the parent vessel according to the concept of the ideal closure line in these previously unreported locations, thereby restoring normal cerebral circulation. The use of non-conventional techniques for clipping complex aneurysms can be used alone or in combination for adequate treatment, preserving cerebral circulation without compromising adequate exclusion of the aneurysm. The Picket fence technique is a feasible clipping technique that can be used as a less morbid option in large and giant aneurysms with wide necks.

Detection of Mycotoxin Contamination in Foods Using Artificial Intelligence: A Review.

Mycotoxin contamination of foods is a major concern for food safety and public health worldwide. The contamination of agricultural commodities employed by humankind with mycotoxins (toxic secondary metabolites of fungi) is a major risk to the health of the human population. Common methods for mycotoxin detection include chromatographic separation, often combined with mass spectrometry (accurate but time-consuming to prepare the sample and requiring skilled technicians). Artificial intelligence (AI) has been introduced as a new technique for mycotoxin detection in food, providing high credibility and accuracy. This review article provides an overview of recent studies on the use of AI methods for the discovery of mycotoxins in food. The new approach demonstrated that a variety of AI technologies could be correlated. Deep learning models, machine learning algorithms, and neural networks were implemented to analyze elaborate datasets from different analytical platforms. In addition, this review focuses on the advancement of AI to work concomitantly with smart sensing technologies or other non-conventional techniques such as spectroscopy, biosensors, and imaging techniques for rapid and less damaging mycotoxin detection. We question the requirement for large and diverse datasets to train AI models, discuss the standardization of analytical methodologies, and discuss avenues for regulatory approval of AI-based approaches, among other top-of-mind issues in this domain. In addition, this research provides some interesting use cases and real commercial applications where AI has been able to outperform other traditional methods in terms of sensitivity, specificity, and time required. This review aims to provide insights for future directions in AI-enabled mycotoxin detection by incorporating the latest research results and stressing the necessity of multidisciplinary collaboration among food scientists, engineers, and computer scientists. Ultimately, the use of AI could revolutionize systems monitoring mycotoxins, improving food safety and safeguarding global public health.

Nonconventional Imaging for Viable Bacteria Detection: A Review.

The first attempts of bacteria observation started with the use of glass lenses to generate magnified images of specimens. This technique is constrained by the principal limit to the resolution of any optical system. Besides optical microscopy, other imaging techniques emerged to reveal more levels of details. The more the achievable resolution, the more complex the imaging systems, and at the same time, the more potentially cell-killing or DNA-damaging they may become. This article provides a state of the art of nonconventional sensor techniques that have been used in applications related to bacteria imaging, for the purpose of comparing the information they provide and determine their suitability or find out if their combination can yield new results without compromising the ability to keep the cells alive.

Effect of Pre-Treatment, Treatment, and Extraction Technologies on the Bioactive Substances of Coriander

Herbs and spices, with their wealth of bioactive compounds, are widely used in food, medicine, and cosmetics. Among them, coriander (Coriandrum sativum L.) is particularly valued for its medicinal and culinary properties. Growing consumer and industrial interest in natural products has led to the development of modern, environmentally friendly extraction techniques designed to improve the yield and quality of extracts while reducing time, energy, and solvent consumption. These processes make it possible to obtain optimal quantities of active compounds, thereby meeting the growing demand for plant-based products. After showing evidence of coriander’s health benefits, this review summarizes research findings on the impact of some treatments and pretreatments on its phytochemical composition. After that, it summarizes different aspects of the use of conventional and non-conventional extraction techniques for coriander’s bioactive constituents, mainly polyphenols and crude and essential oils (EO). Among these methods, microwave-assisted extraction (MAE/MAHD) emerges as one of the most efficient methods, offering higher yields, better-quality extracts, and a significant reduction in energy costs.

Comparative analysis of optimization approaches for combined economic emission dispatch- a comprehensive review

This comprehensive review explores a range of optimization approaches for Combined Economic Emission Dispatch (CEED), covering conventional, non-conventional, and hybrid techniques. CEED is critical in minimizing economic costs and emissions while ensuring power system reliability. Traditional methods focus on cost minimization but overlook environmental considerations. Optimization techniques address this gap by simultaneously optimizing economic and environmental objectives. Hybrid techniques, combining multiple algorithms or integrating renewable energy, further enhance CEED performance. The review evaluates these approaches’ strengths and limitations, considering factors like computational efficiency and solution accuracy. Over the past few decades, a great deal of study has been done on the use of renewable energy (RE) as an alternative source in power generation systems. As a result, the power dispatch problem currently uses the Combined Economic Emission Dispatch (CEED) of thermal and renewable energy resources. It discusses the potential of hybrid techniques and take in consideration renewable energy integration in achieving cost savings and emission reductions, highlighting areas for future research.

Patterns of cerebral damage in multiple sclerosis and aquaporin-4 antibody-positive neuromyelitis optica spectrum disorders-major differences revealed by non-conventional imaging.

Multiple sclerosis and aquaporin-4 antibody neuromyelitis optica spectrum disorders are distinct autoimmune CNS disorders with overlapping clinical features but differing pathology. Multiple sclerosis is primarily a demyelinating disease with the presence of widespread axonal damage, while neuromyelitis optica spectrum disorders is characterized by astrocyte injury with secondary demyelination. Diagnosis is typically based on lesion characteristics observed on standard MRI imaging and antibody testing but can be challenging in patients with in-between clinical presentations. Non-conventional MRI techniques can provide valuable diagnostic information by measuring disease processes at the microstructural level. We used non-conventional MRI to measure markers of axonal loss in specific white matter tracts in multiple sclerosis and neuromyelitis optica spectrum disorders, depending on their relationship with focal lesions. Patients with relapsing-remitting multiple sclerosis (n = 20), aquaporin-4 antibody-associated neuromyelitis optica spectrum disorders (n = 20) and healthy controls (n = 20) underwent a 3T brain MRI, including T1-, T2- and diffusion-weighted sequences, quantitative susceptibility mapping and phase-sensitive inversion recovery sequence. Tractometry was used to differentiate tract fibres traversing through white matter lesions from those that did not. Neurite density index was assessed using neurite orientation dispersion and density imaging model. Cortical damage was evaluated using T1 relaxation rates. Cortical lesions and paramagnetic rim lesions were identified using phase-sensitive inversion recovery and quantitative susceptibility mapping. In tracts traversing lesions, only one out of 50 tracts showed a decreased neurite density index in multiple sclerosis compared with neuromyelitis optica spectrum disorders. Among 50 tracts not traversing lesions, six showed reduced neurite density in multiple sclerosis (including three in the cerebellum and brainstem) compared to neuromyelitis optica spectrum disorders. In multiple sclerosis, reduced neurite density was found in the majority of fibres traversing (40/50) and not traversing (37/50) white matter lesions when compared to healthy controls. A negative correlation between neurite density in lesion-free fibres and cortical lesions, but not paramagnetic rim lesions, was observed in multiple sclerosis (39/50 tracts). In neuromyelitis optica spectrum disorders compared to healthy controls, decreased neurite density was observed in a subset of fibres traversing white matter lesions, but not in lesion-free fibres. In conclusion, we identified significant differences between multiple sclerosis and neuromyelitis optica spectrum disorders corresponding to their distinct pathologies. Specifically, in multiple sclerosis, neurite density reduction was widespread across fibres, regardless of their relationship to white matter lesions, while in neuromyelitis optica spectrum disorders, this reduction was limited to fibres passing through white matter lesions. Further studies are needed to evaluate the discriminatory potential of neurite density measures in white matter tracts for differentiating multiple sclerosis from neuromyelitis optica spectrum disorders.

Investigating the link between the Port of Miami dredging and the onset of the stony coral tissue loss disease epidemics

Since 2014, the stony coral tissue loss disease (SCTLD) has been decimating corals in the Caribbean. Although the trigger of this outbreak remains elusive, evidence suggests waterborne sediment-mediated disease transmission. The outbreak reportedly initiated in September 2014 at a reef site off Virginia Key (VKR), during extensive dredging operations at the Port of Miami. Here we use a high-resolution ocean model to identify the potential driver of the outbreak by simulating the dispersal of dredged sediments, wastewater plumes and disease agents. Our results suggest that VKR could have been impacted by fine sediments produced by dredging operations, especially those involving non-conventional rock-chopping techniques. Wastewater contamination was unlikely. Additionally, our connectivity analysis indicates potential disease transmission from other affected reefs to VKR. Our results therefore suggest that dredging operations might be responsible for the onset of the epidemics. This underscores the need for stricter operational guidelines in future dredging projects.

4D fabrication of shape-changing systems for tissue engineering: state of the art and perspectives

AbstractIn recent years, four-dimensional (4D) fabrication has emerged as a powerful technology capable of revolutionizing the field of tissue engineering. This technology represents a shift in perspective from traditional tissue engineering approaches, which generally rely on static—or passive—structures (e.g., scaffolds, constructs) unable of adapting to changes in biological environments. In contrast, 4D fabrication offers the unprecedented possibility of fabricating complex designs with spatiotemporal control over structure and function in response to environment stimuli, thus mimicking biological processes. In this review, an overview of the state of the art of 4D fabrication technology for the obtainment of cellularized constructs is presented, with a focus on shape-changing soft materials. First, the approaches to obtain cellularized constructs are introduced, also describing conventional and non-conventional fabrication techniques with their relative advantages and limitations. Next, the main families of shape-changing soft materials, namely shape-memory polymers and shape-memory hydrogels are discussed and their use in 4D fabrication in the field of tissue engineering is described. Ultimately, current challenges and proposed solutions are outlined, and valuable insights into future research directions of 4D fabrication for tissue engineering are provided to disclose its full potential.

Exploring the extraction, functional properties, and industrial applications of papain from Carica papaya.

Papain a protease enzyme naturally present in the Carica papaya has gained significant interest across several industries due to its unique properties and versatility. The unique structure of papain imparts the functionality that assists in elucidating how papain enzyme works and making it beneficial for a variety of purposes. This review highlights recent advancements in papain extraction techniques to enhance production efficiency to meet market demand. The extraction of papain from the Carica papaya plant offers various advantages such as cost-effectiveness, biodegradability, safety, and the ability to withstand a wide range of pH and temperature conditions. Key findings reveal that non-conventional papain extraction techniques offer significant advantages in terms of efficiency, product quality, and environmental sustainability. Furthermore, papain treatment enhances the value of final products due to its anti-bacterial, anti-oxidant, and anti-obesity properties. The ability of papain to hydrolyze a wide range of proteins across various conditions makes it a suitable protease enzyme. While the study emphasizes the advantages of papain, the study also acknowledges limitations such as the continuous research and development to optimize extraction processes which will help unlock papain's potential and meet the growing demand. © 2024 Society of Chemical Industry.

MMC: A Monte Carlo laboratory.

This Note describes features of the program MMC, several of which are unique to MMC, developed over the past five decades. These include sampling in three different ensembles, biased moves, and some non-conventional analysis techniques.

Extraction and characterization of phenolic compounds from mandarin peels using conventional and green techniques: a comparative study

The exploration of citrus waste valorization extends beyond its environmental benefits to encompass potential health implications, particularly in cancer prevention. The bioactive compounds extracted from citrus waste, notably polyphenols like quercetin, gallic acid, hesperidin, and ferulic acid, hold promising anti-cancer properties. Research suggests that these compounds exhibit potent antioxidant and anti-inflammatory effects, which are integral in combating carcinogenesis. Quercetin, a flavonoid abundantly found in citrus extracts, has garnered attention for its ability to inhibit cancer cell proliferation and induce apoptosis, thereby impeding tumor growth. Gallic acid, another prevalent compound, demonstrates anticancer potential through its modulation of signaling pathways associated with cell survival and proliferation. Hesperidin, known for its antioxidative properties, has shown promise in suppressing tumor growth and metastasis by targeting various molecular pathways involved in cancer progression. Ferulic acid, renowned for its anti-inflammatory and antioxidant activities, exhibits chemopreventive effects by inhibiting carcinogen activation and promoting detoxification processes within the body. The present study compares conventional (soxhlet, maceration) and non-conventional (ultrasound, microwave) techniques to obtain these polyphenols from mandarin peels. The maximum total phenolic content of 3.78 mg GAE/ g dry peels and DPPH activity of 69.89% was observed using 80% methanol and ultrasound assisted extraction. The presence of these compounds was confirmed using advanced analytical methods such as FT-IR and HPLC. The phenolic compounds (mg/g dry peels) such as gallic acid (0.29 ± 1.08), p-coumaric acid (0.17 ± 0.52), chlorogenic acid (0.30 ± 0.56), ferulic acid (1.49 ± 1.36), hesperidin (1.34 ± 0.51), naringenin (0.56 ± 0.94), and quercetin (0.33 ± 1.02), observed during UAE were 25–35% higher values compared to other techniques. By harnessing the bioactive potential of citrus waste-derived compounds, particularly for cancer prevention, this study contributes to both environmental sustainability and human health enhancement, paving the way for innovative strategies in functional food development and nutraceutical applications.

Integrated Weed Management: A Comprehensive Review of Conventional, Non-Conventional, and Emerging Strategies for Sustainable Agriculture

This manuscript comprehensively reviews integrated weed management (IWM) strategies, emphasizing the need for sustainable agricultural practices. It explores conventional methods, such as herbicide and mechanical control, and non-conventional techniques, including mulching, cover crops, and thermal methods. The review also delves into emerging technologies like precision agriculture, genomic approaches, and robotic weed control. The discussion is framed around five pillars of IWM: diverse cropping systems, cultivar selection, field and soil management, direct control, and monitoring and evaluation. Environmental and socioeconomic impacts of weed management are considered, highlighting the need for a new paradigm that integrates diverse control tactics to enhance agricultural resilience and sustainability.

Hybrid laser-ECM processing of advanced materials in neutral electrolyte without aggressive reagents: Machining performance, removal characteristics and sustainability aspects

The growing need for more energy efficient systems has led to advent of hard and corrosion resistant materials which are difficult to machine with both conventional and non-conventional machining techniques. Although ECM offers athermal and force-free dissolution, the workpiece surface integrity in multicomponent materials is limited with ECM due to several multi-physical phenomena occurring on the surface like selective phase dissolution, passivation, pitting, particle breakout, etc. To tackle these challenges, aggressive acidic and basic reagents are added to the electrolytes. Although these reagents improve the machining performance, they are not sustainable for the environment and human life as they generate harmful waste which is difficult to dispose and recycle. Furthermore, the handling of these aggressive electrolytes requires specialized coatings, resins, filters, catalysts, etc. to protect the machine tools and equipment from damage.Hybrid laser-ECM (LECM) is a relatively novel drill-mill processing technique to process these advanced materials while using neutral electrolytes, thereby potentially reducing the negative impact of using acidic/basic reagents in electrolytes. Under controlled conditions and proper laser alignment, LECM can simultaneously apply laser and EC process energies in the same machining zone to provide synergistic benefits manifesting in terms of dominance of kinetics and thermodynamics over pure electrodynamics in ECM. This provides multi-fold benefits in improving passivation weakening and homogenize multiphase dissolution. Therefore, this study investigates for the first time the machining performance, removal behaviour, reaction products and power/resource consumption of LECM in neutral electrolyte in comparison to ECM in various neutral and basic electrolytes. The NbC–Ni cermet was used as the workpiece material, which is a cobalt-free alternative to conventional WC-Co. The results revealed that LECM in neutral NaNO3 compared to ECM with NaOH addition not only provided better Sa (2.02 μm, 24% ↓), M.R.R. (153 μg/s, 31% ↑), aspect ratio (0.048, 14% ↑) and similar passivation weakening capability while maintaining a nearly neutral pH (8) of the reaction products, but also reduced electrolyte usage by 23.6% with a 16.4% increase in power consumption. These aspects make LECM a sustainable and cost-effective candidate for processing modern passivating multiphase materials like newer cermets, super alloys, high entropy alloys, etc. with nearly same performance as achieved by using ECM with acidic/basic electrolytes. Further fundamental and applied research is needed in LECM to meet the industrial specifications.

When sustainability meets health and innovation: The case of Citrus by-products for cancer chemoprevention and applications in functional foods

Peel, pomace and seeds represent secondary products derived from production and manufacturing processes of Citrus spp. However, thanks to the novel policies of circular economy, sustainability and valorization of agro-wastes, Citrus by-products have become a precious source of energy and natural beneficial compounds used for manifold applications, from biofuels to dietary supplements and nutraceuticals, to food additives and bio-preservatives. Several studies have been carried out to investigate the bioactivities, functionalize, stabilize and use these products or part of them (e.g., extracts, oils, powders, purified compounds). In this context, this study discusses properties, technological processing and extraction, functions and health implications of Citrus by-products as cancer chemopreventive agents, and lays a special emphasis on the stabilization, encapsulation and delivering of Citrus by-products phytochemicals and formulations. As the extraction and isolation are key aspects of phytochemicals availability the first objective of this study was to critically examine innovative and non-conventional techniques. Subsequently, to have a comprehensive understanding of bioactivity underlying the complex anticancer actions through various mechanisms, the methods/assays for antiproliferative, proapoptotic, anti-inflammatory, antioxidant activity evaluation were introduced, and the models and biomolecules were presented, using the methodologies of extensive literature search and meta-analysis. Upcoming perspectives and the current and future framework were also discussed.

Experimental Study on Pulse Electrochemical Machining of Inconel 718 By IJISRT

The properties of the Inconel 718 super alloy are used in the manufacturing of aircraft components, due to high hardness and toughness machining of such alloy by conventional machining process is difficult. To overcome this, nonconventional techniques are used, from which electrochemical machining (ECM) is good alternative. Electrochemical Machining (ECM) is a nonconventional manufacturing process widely employed in various industries due to its precision in shaping complex, detailed components. This study focuses on exploring and optimizing the key machining parameters in ECM to enhance machining efficiency and surface finish quality of Inconel 718. The research methodology involves a systematic experimental investigation, employing a series of controlled tests on an ECM machine. The controllable process parameters selected which are current, voltage and duty cycle. The aim is to comprehend the nuanced influence of these variables on material removal rate (MRR) and overcut and to investigate optimum level of process parameter. The analysis shows that the duty cycle and current are most influencing factor for controlling depth of overcut and for improving MRR, but excessive high duty cycle can be counterproductive which results in increased heat generation because continuous current flow generates heat in the electrolyte and work piece.

Coriander (Coriandrum sativum L.) from Alentejo (South Portugal)-Ethnobotany and Potential Industrial Use.

Coriander is a medicinal and aromatic plant (MAP) traditionally cultivated and used in Alentejo, Portugal. However, few publications are available about its ethnobotanical applications. Four independent ethnobotanical surveys were carried out: throughout the region (2002-2003), in three villages (2013), and in city markets (2007 and 2022). Coriander was the most common fresh cultivated MAP (75% of the total area) and also the most representative MAP fresh herb in city markets. The leaves, mostly, were used fresh or frozen or transformed in piso. Some of the recipes have agro-industrial potential, such as piso and aromatized olive oil. Coriander essential oils (EOs) were isolated by hydrodistillation from aerial parts with inflorescence emergence (APIs) and from fruits, and fatty acids (FA) by solvent extraction from the fruits. Gas chromatography and gas chromatography-mass spectrometry analysis showed EOs dominated by n-decanal (21-24%), 2-trans-decenal (12-18%) and n-nonane (10-17%) in APIs, and linalool dominance (73-78%) in the fruits. Petroselinic acid (32-55%) was the dominant fatty acid. A literature survey on conventional and nonconventional extraction techniques showed a constancy in the dominant compounds isolated, highlighted piso as a home-made green-extraction procedure, but also reflected the relevance of coriander as a MAP with diverse industrial potential uses.

Variability aware ultra-low power design of NOR/NAND gate using non-conventional techniques

Fundamental to digital signal processing applications such as the Arithmetic Logic Unit (ALU), logic gates serve as the foundational components. This paper presents NOR and NAND gates engineered for operation within the ultra-low voltage (LV) and low power domains (LP). Utilizing the floating gate MOSFET (FGMOS) approach, this study adopts a strategy to enhance performance, focusing on reducing design complexity and minimizing power consumption.The proposed FGMOS-NAND/NOR gate design is investigated for important device parameters such as power (pwr), delay (tp), power delay product (PDP), and energy delay product (EDP). At 0.7 V supply, the overall power consumption of the FGMOS NOR and NAND gates is 0.442 nW and 0.323 nW, respectively. Further, carbon nanotube field effect transistor (CNTFET) technology is used to implement NOR and NAND gates in this research work. A rigorous comparative analysis was conducted in this research study to assess the performance of non-conventional technologies, specifically field-effect transistors with floating gate (FGMOS) and carbon nanotube field-effect transistors (CNFET), in comparison to the conventional complementary metal-oxide-semiconductor (CMOS) technology. Notably, our investigation revealed that when carbon nanotube field-effect transistor (CNTFET) technology is synergistically employed in conjunction with FGMOS technology, the overall circuit performance is significantly enhanced. Furthermore, in order to estimate the robustness and reliability of the proposed designs, comprehensive analysis pertaining to delay and power-delay product (PDP) variability were meticulously carried out within the scope of this research article.

Research review on performance evaluation of a parabolic trough solar collector for hot water generation

This experimental study aimed to examine the impact of many parameters, including concentration ratio, optical efficiency, and thermal efficiency, on the performance of the trough solar collector. In the present day, nations throughout the globe exhibit a collective preoccupation with the issue of environmental pollution and its consequential impacts. However, it remains imperative for these nations to secure adequate energy resources in order to facilitate the progress and advancement of their respective countries. The utilization of conventional techniques, particularly those involving coal, fossil fuels, and organic matter, to generate the necessary energy yields a significant level of air pollution, which serves as the primary catalyst for global warming. The utilization of non-conventional methods for energy production is deemed more favorable in terms of environmental impact. However, the lack of economic viability serves as the primary deterrent for impoverished and emerging nations in adopting such non-conventional techniques. The geographical conditions have a significant role in determining the viability of nonconventional sources such as solar energy and wind energy. This study involved an analysis of the performance of a solar trough collector, with subsequent calculations of its efficiencies.

Erosion rate investigation and multi-objective optimisation on electrical discharge machining of Ti64 using deep cryo-treated electrodes

Due to its inherent properties, Ti64 has set many challenges in industries during its machining using conventional machining processes. Traditional machining of Ti64 is not a feasible option considering the economic and environmental perspectives. Non-conventional techniques like electrical discharge machining (EDM) are promising methods for machining Ti64 despite challenges like higher tool wear and lower machining rates. The current paper investigated the erosion rates while machining Ti64 using deep cryo-treated electrodes. The peak current (Ip), pulse on time (Ton) and gap voltage (Vg) were used as control parameters while investigating erosion rates, viz., Material Removal Rate (MRR) and Tool Wear Rate (TWR). Experiments were planned according to the RSM-based Central Composite Design (CCD). Considering the multi-objective nature of the current problem, Grey Relational Analysis (GRA) has been incorporated to find a single parametric condition that will satisfy both MRR and TWR. Peak current, [Formula: see text][Formula: see text]A, Pulse On time, [Formula: see text][Formula: see text][Formula: see text]s and Gap voltage, [Formula: see text][Formula: see text]V was found to be the optimal setting giving [Formula: see text][Formula: see text]mm3/min and [Formula: see text][Formula: see text]mm3/min. Furthermore, topographical analysis of the EDMed surfaces has been performed using SEM, XRD and 3D optical profilometry techniques to characterise the surface and to investigate the possibility of other intermetallic compounds formed on the machined surface.

High Power Laser Cutting of SiC-Al2O3 Ceramic Matrix Composites

Machining composite to achieve the desired surface and sub-surface condition, whether through conventional or non-conventional techniques, presents persistent challenges due to their anisotropic thermal characteristics. These challenges escalate when dealing with ceramic matrix composites (CMC) due to their high melting and boiling temperature. This study investigates the surface and sub-surface characteristics of SiC-Al2O3 CMC laser-cut components, produced using a 2 kW quasi-continuous wave laser. The influence of laser parameters such as focal position, cutting speed, number of cutting passes, average power, and assist gas type on surface and sub-surface characteristics have been investigated in detail. The laser cut samples were analysed using white light interferometer, Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX) and 3D X-ray Computer Tomography (XCT) for both surface and sub-surface characteristics. The effect of laser process parameters on the surface composition, surface topology, and sub-surface thermal defects have been studied in detail. The results revealed that multi-pass cutting (16 pass) can be used to achieve lower thermal affected zone (~200 µm) and reduced surface roughness with an overall cutting speed of 625 mm/min. No delamination was observed with multi-pass cutting. Nitrogen was found to be the most suitable assist gas, as it prevented oxide layer formation across the laser cut SiC-Al2O3 CMC surface.