jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Godwin A. Udourioh | Moses M. Solomon | Jude A. Okolie
Source: Food Science of Animal Resources (review, 2025-01-17)
Field: Materials Science — Biomaterials

A Review of the Valorization of Dairy Industry Wastes through Thermochemical, Biological, and Integrated Processes for Value-Added Products The dairy industry is a significant player in the food industry, providing essential products such as milk, cheese, butter, yogurt, and milk powder to meet the global population's needs. However, the industry's activities have resulted in significant pollution, with heavy waste generation, disposal, and effluent emissions into the environment. Properly handling dairy waste residues is a major challenge, with up to 60% of the total treatment cost in the processing unit allocated to waste management. Therefore, valorizing dairy waste into useful products presents a significant advantage for the dairy industry. Numerous studies have proposed various approaches to convert dairy waste into useful products, including thermochemical, biological, and integrated conversion pathways. This review presents an overview of these approaches and identifies the best possible method for valorizing dairy waste and by-products. The research presents up-to-date information on the recovery of value-added products from dairy waste, such as biogas, biofertilizers, biopolymers, and biosurfactants, with a focus on integrating technology for environmental sustainability. Furthermore, the obstacles and prospects in dairy waste valorization have been presented. This review is a valuable resource for developing and deploying dairy waste valorization technologies, and it also presents research opportunities in this field. Waste management ; Environmental science ; Value (mathematics) ; Dairy industry ; Biochemical engineering ; Business ; Natural resource economics ; Engineering ; Economics ; Chemistry ; Computer science ; Food science biodegradable polymer synthesis and properties ; Food Waste Reduction and Sustainability ; Biofuel production and bioconversion
Authors: Wei Xiao | Yingkai Xia | Shuang Wei | Yuehui Chen | Shaobin Yang
Source: Nanomaterials (review, 2025-01-28)
Field: Chemistry — Inorganic Chemistry

Microporous Adsorbents for CH4 Capture and Separation from Coalbed Methane with Low CH4 Concentration: Review A rapid increase in natural gas consumption has resulted in a shortage of conventional natural gas resources, while an increasing concentration of CH<sub>4</sub> in the atmosphere has intensified the greenhouse effect. The exploration and utilization of coalbed methane (CBM) resources not only has the potential to fill the gap in natural gas supply and promote the development of green energy, but could also reduce CH<sub>4</sub> emissions into the atmosphere and alleviate global warming. However, the efficient separation of CH<sub>4</sub> and N<sub>2</sub> has become a significant challenge in the utilization of CBM, which has attracted significant attention from researchers in recent years. The development of efficient CH<sub>4</sub>/N<sub>2</sub> separation technologies is crucial for enhancing the exploitation and utilization of low-concentration CBM and is of great significance for sustainable development. In this paper, we provide an overview of the current methods for CH<sub>4</sub>/N<sub>2</sub> separation, summarizing their respective advantages and limitations. Subsequently, we focus on reviewing research advancements in adsorbents for CH<sub>4</sub>/N<sub>2</sub> separation, including zeolites, metal-organic frameworks (MOFs), and porous carbon materials. We also analyze the relationship between the pore structure and surface properties of these adsorbents and their adsorption separation performances, and summarize the challenges and difficulties that different types of adsorbents face in their future development. In addition, we also highlight that matching the properties of adsorbents and adsorbates, controlling pore structures, and tuning surface properties on an atomic scale will significantly increase the potential of adsorbents for CH<sub>4</sub> capture and separation from CBM. Coalbed methane ; Adsorption ; Greenhouse gas ; Methane ; Environmental science ; Natural gas ; Coal ; Microporous material ; Materials science ; Process engineering ; Waste management ; Coal mining ; Chemistry ; Geology ; Engineering Metal-Organic Frameworks: Synthesis and Applications ; Carbon Dioxide Capture Technologies ; Coal Properties and Utilization
Authors: Ahmad Rajabizadeh | Hossein Abdipour | Hossein Jafari Mansoorian
Source: Applied Water Science (article, 2025-05-17)
Field: Materials Science — Materials Chemistry

Optimisation of the removal of antibiotics from aqueous environments through ultrasonic processing with α-hematite nanoparticles using response surface methodology (case study: cefixime) The occurrence of contamination of emerging concerns (CECs) has turned into a significant challenge. In the present study, the elimination of Cefixime from the aquatic media was optimized. The ultrasonic method, combined through α-hematite nanoparticles, was studied using the response surface methodology (RSM). In this examination, various factors were evaluated to determine their impact, including pH levels (ranging from 5 to 11), nanoparticle dosage (0.05–0.3 g/L), contact time (10–90 min), primary Cefixime concentration (25–100 mg/L), and ultrasound wave frequencies (35–130 kHz). Nanoparticle characteristics were determined through Brunauer–Emmett–Teller (BET) and X-ray diffraction (XRD) analysis. The chemical oxygen demand (COD) was measured to monitor the removal of Cefixime. The outcomes of the data analysis revealed that the catalyst dosage and contact time were the most significant factors influencing the Cefixime removal rate. The optimal conditions determined during the experiments included a pH of 3, an ultrasound wave frequency of 37 kHz, an initial Cefixime concentration of 25 mg/L, a catalyst dosage of 0.25 g/L, and a reaction time of 90 min. Under these conditions, a COD elimination efficiency of 98.7% was attained for Cefixime. The process kinetics adhered to a pseudo-second-order (PSO) model, achieving an R2 value of 0.9905. The findings of this research demonstrate the high efficiency of the sonocatalytic removal technique in eliminating Cefixime antibiotics from aqueous solutions. Cefixime ; Hematite ; Response surface methodology ; Aqueous solution ; Industrial and production engineering ; Nanoparticle ; Materials science ; Chemistry ; Antibiotics ; Mineralogy ; Nanotechnology ; Chromatography ; Engineering ; Organic chemistry ; Biochemistry ; Cephalosporin ; Mechanical engineering Ultrasound and Cavitation Phenomena ; Innovative Microfluidic and Catalytic Techniques Innovation ; Minerals Flotation and Separation Techniques
Authors: Ziao Gong | Zhenhua Zhi | Chenglin Zhang | Dawei Cao
Source: Chemistry (article, 2025-07-18)
Field: Chemistry — Analytical Chemistry

Non-Destructive Detection of Soluble Solids Content in Fruits: A Review Soluble solids content (SSC) in fruits, as one of the key indicators of fruit quality, plays a critical role in postharvest quality assessment and grading. While traditional destructive methods can provide precise measurements of sugar content, they have limitations such as damaging the fruit’s integrity and the inability to perform rapid detection. In contrast, non-destructive detection technologies offer the advantage of preserving the fruit’s integrity while enabling fast and efficient sugar content measurements, making them highly promising for applications in fruit quality detection. This review summarizes recent advances in non-destructive detection technologies for fruit sugar content measurement. It focuses on elucidating the principles, advantages, and limitations of mainstream technologies, including near-infrared spectroscopy (NIR), X-ray technology, computer vision (CV), electronic nose (EN) technology and so on. Critically, our analysis identifies key challenges hindering the broader implementation of these technologies, namely: the integration and optimization of multi-technology approaches, the development of robust intelligent and automated detection systems, and issues related to high equipment costs and barriers to widespread adoption. Based on this assessment, we conclude by proposing targeted future research directions. These focus on overcoming the identified challenges to advance the development and practical application of non-destructive SSC detection technologies, ultimately contributing to the modernization and intelligentization of the fruit industry. Computer science ; Emerging technologies ; Postharvest ; Quality (philosophy) ; Biochemical engineering ; Risk analysis (engineering) ; Biotechnology ; Engineering ; Artificial intelligence ; Business ; Biology Spectroscopy and Chemometric Analyses ; Advanced Chemical Sensor Technologies ; Water Quality Monitoring and Analysis
Authors: Olena Mozgova | Olga Chernyayeva | Anna Sroka‐Bartnicka | Piotr Pięta | Robert Nowakowski | Izabela S.Pieta
Source: Journal of Polymers and the Environment (article, 2025-06-11)
Field: Materials Science — Surfaces, Coatings and Films

Physicochemical Characterization of Biodegradable Polymers for Biomedical Applications: Insights from XPS, DRIFT, and AFM Techniques Abstract Biodegradable polymers and their diverse applications, particularly in the pharmaceutical and biomedical fields, have experienced significant advancements in recent decades. The importance of this research is underscored by the potential of biodegradable polymeric biomaterials to transform drug delivery systems, tissue engineering scaffolds, and a wide range of biomedical devices. This progress has been driven by the growing demand for sustainable and eco-friendly solutions across various sectors, including biomedicine, nanotechnology, the food industry, solar cells, and waste management. Central to this development is understanding the physical and chemical characteristics of biodegradable polymers, particularly their surface and interfacial properties, which profoundly impact their behavior and functionality. This review provides an overview of the physicochemical methods employed to investigate polymer surfaces, highlighting their complex applications and their role in defining the potential uses of newly synthesized polymers. Techniques such as X-ray photoelectron spectroscopy (XPS), diffuse reflectance infrared Fourier transform spectroscopy (DRIFT), and atomic force microscopy (AFM) are emphasized explicitly as essential tools for elucidating the intricate structure and properties of biodegradable polymers. A comprehensive understanding of the physicochemical structure, surface morphology, and composition of biodegradable polymers is crucial for designing materials with tailored properties and developing novel materials with specific, desired characteristics. Materials science ; Characterization (materials science) ; X-ray photoelectron spectroscopy ; Polymer ; Atomic force microscopy ; Nanotechnology ; Biodegradable polymer ; Chemical engineering ; Composite material Polymer Surface Interaction Studies ; Electrospun Nanofibers in Biomedical Applications ; Polymer Nanocomposite Synthesis and Irradiation
Authors: Eike C. Schulz | Andreas Prester | David von Stetten | Gargi Gore | Caitlin E. Hatton | Kim Bartels | Jan-Philipp Leimkohl | Hendrik Schikora | Helen M. Ginn | Friedjof Tellkamp | P. Mehrabi
Source: Nature Communications (article, 2025-07-16)
Field: Materials Science — Materials Chemistry

Probing the modulation of enzyme kinetics by multi-temperature, time-resolved serial crystallography The vast majority of protein structures are determined at cryogenic temperatures, which are far from physiological conditions. Nevertheless, it is well established that temperature is an essential thermodynamic parameter for understanding the conformational dynamics and functionality of proteins in their native environments. Time-resolved crystallography is a technique that aims to elucidate protein function by examining structural alterations during processes such as ligand binding, catalysis, or allostery. However, this approach is typically conducted under ambient conditions, which may obscure crucial conformational states, that are only visible at physiological temperatures. In this study, we directly address the interplay between protein structure and activity via a method that enables multi-temperature, time-resolved serial crystallography experiments in a temperature window from below 10 °C to above 70 °C. Via this 5D-SSX, time-resolved experiments can now be carried out at physiological temperatures and with long time delays, providing insights into protein function and enzyme catalysis. Our findings demonstrate the temperature-dependent modulation of turnover kinetics for the mesophilic β-lactamase CTX-M-14 and the thermophilic enzyme xylose isomerase, within the full protein structure. Kinetics ; Protein dynamics ; Enzyme ; Chemistry ; Allosteric regulation ; Biophysics ; Crystallography ; Isomerase ; Protein structure ; Ligand (biochemistry) ; Function (biology) ; Enzyme kinetics ; Biochemistry ; Active site ; Biology ; Physics Enzyme Structure and Function ; Protein Structure and Dynamics ; Biochemical and Molecular Research
Authors: Souradeep Dutta | Deba Kumar Sarma | Jay Vora | Rakesh Chaudhari | Abhijit Bhowmik | Priyaranjan Samal | Sakshum Khanna
Source: Journal of Manufacturing and Materials Processing (review, 2025-05-30)
Field: Materials Science — Materials Chemistry

A State-of-the-Art Review on Micro-Machining of Nitinol Shape Memory Alloys and Optimization of Process Variables Considering the Future Trends of Research The miniaturization of smart materials has become a new trend in the modern manufacturing industry due to its enormous application in the aerospace, biomedical, and automobile sectors. Nickel–titanium (NiTi)-based binary shape memory alloys (SMAs) are one of the smart materials with certain supreme features like shape memory effect, pseudo-elasticity, high ductility, strong corrosion-resistance, and elevated wear resistance. For this, several micro-machining processes have been developed to machine NiTi SMAs. This paper summarizes all of the conventional and non-conventional micro-machining processes employed to machine NiTi SMAs. In this review process, the surface integrity, dimensional accuracy of the machined surface, cutting force and tool wear analysis during conventional and non-conventional micro-machining of NiTi SMA are evaluated mostly with the aid of input process variables like cutting speed, depth of cut, width of cut, types of coolants, tool coating, discharge voltage, capacitance, laser fluence, pulse duration, scan speed, electrolysis concentration and gap voltage. The optimization of process parameters using different methods during conventional and non-conventional micro-machining of NiTi SMAs is also analyzed. The problems faced during conventional micro-machining of NiTi SMAs are overcome by non-conventional micro-machining processes as discussed. The present study aims to recognize potential developments in the improvement of the micro-machinability of NiTi SMAs. Machining ; Process (computing) ; Shape-memory alloy ; Mechanical engineering ; State (computer science) ; Computer science ; Manufacturing engineering ; Materials science ; Process engineering ; Industrial engineering ; Metallurgy ; Engineering ; Algorithm Shape Memory Alloy Transformations ; Titanium Alloys Microstructure and Properties ; Advanced Memory and Neural Computing
Authors: Yuting Liang | Zhihua Li | Jiyong Shi | Ning Zhang | Qin Zhou | Liuzi Du | Xiaodong Zhai | Tingting Shen | Roujia Zhang | Xiaobo Zou | Xiaowei Huang
Source: Foods (review, 2025-08-26)
Field: Chemistry — Analytical Chemistry

Advances in Hyperspectral Imaging Technology for Grain Quality and Safety Detection: A Review This review provides an overview of recent advancements in hyperspectral imaging (HSI) technology for grain quality and safety detection, focusing on its impact on global food security and economic stability. Traditional methods for grain quality assessment are labor-intensive, time-consuming, and destructive, whereas HSI offers a non-destructive, efficient, and rapid alternative by integrating spatial and spectral data. Over the past five years, HSI has made significant strides in several key areas, including disease detection, quality assessment, physicochemical property analysis, pesticide residue identification, and geographic origin determination. Despite its potential, challenges such as high costs, complex data processing, and the lack of standardized models limit its widespread adoption. This review highlights these advancements, identifies current limitations, and discusses the future implications of HSI in enhancing food safety, traceability, and sustainability in the grain industry. Hyperspectral imaging ; Quality (philosophy) ; Environmental science ; Remote sensing ; Computer science ; Artificial intelligence ; Geology ; Physics Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Identification and Quantification in Food
Authors: Tlholohelo Sylvia Sikhosana | Ntsoaki Joyce Malebo | Tladi Gideon Mofokeng | Mpho Phillip Motloung | Mokgaotsa Jonas Mochane
Source: Polymers (review, 2025-05-29)
Field: Materials Science — Polymers and Plastics

Sawdust as a Byproduct of Wood Processing: Properties, Applications and a Reinforcing Filler in Hybrid Polymer Composites There is a sizeable amount of sawdust produced from wood industries such as timber and furniture. In the past, sawdust has been utilized as a fuel source and in the manufacturing of furniture. Based on the limited use of sawdust, there is plenty of sawdust accessible from the industries. Sawdust is the material of choice due to its cost effectiveness, environmental friendliness, and biodegradability. However, if sawdust is not appropriately disposed or utilized better, it may have negative impact on the aquatic life and organic products. Hence, this review paper discusses the best possible methods or proper routes for the utilization of sawdust to benefit the environment, society, and the economy at large. Sawdust possesses superior capabilities as a reinforcing filler in various polymer matrices for advanced applications. This paper provides an in-depth discussion on sawdust hybrid composites in comparison to other natural fibres hybrid composites. The applications of various sawdust hybrid polymer composites for specific systems are also mentioned. Furthermore, the morphology and preparation of the sawdust/polymer composites and/or sawdust hybrid polymers composites are also discussed since it is well known that the properties of the natural fibre composites are affected by the preparation method and the resultant morphology. Based on the above, the current paper also plays a critical role in providing more information about waste to value added products. Sawdust ; Filler (materials) ; Materials science ; Composite material ; Polymer ; Pulp and paper industry ; Engineering Natural Fiber Reinforced Composites ; Advanced Cellulose Research Studies ; Innovations in Concrete and Construction Materials
Authors: Hesham A. M. Gomaa | Asmaa M. Atta | Mohamed E. Shaker | Sami I. Alzarea | Tariq G. Alsahli | Eid Alatwi | Arafa Musa | Fatma A. Mohamed | Hayat Ali Alzahrani | Aliaa M. Mohassab | Alshaimaa Abdelmoez | Stefan Bräse | Bahaa G. M. Youssif
Source: Frontiers in Chemistry (article, 2025-05-06)
Field: Chemistry — Organic Chemistry

Design, synthesis, and biological investigation of new thiazole-based derivatives as multi-targeted inhibitors endowed with antiproliferative, antioxidant, and antibacterial properties Compounds <b>11d</b> and <b>11f</b> had the highest antiproliferative activity, with GI<sub>50</sub> values of 30 and 27 nM, respectively, making them more potent than erlotinib (GI<sub>50</sub> = 33 nM). Inhibitory studies for EGFR and VEGFR-2 demonstrated that compounds <b>11d</b> and <b>11f</b> were the most potent derivatives with dual inhibitory activity. Furthermore, compounds <b>11d</b> and <b>11f</b> exhibited significant antioxidant activity at 10 μM, with radical scavenging activity of 71% and 73%, respectively, compared to the reference Trolox (78%). Moreover, compounds <b>11a-f</b> and <b>12a-f</b> exhibit significant inhibitory activity against <i>E. coli</i> DNA gyrase, with compounds <b>11b</b>, <b>11e</b>, and <b>12b</b> displaying the highest inhibitory efficacy, yielding IC<sub>50</sub> values of 182, 190, and 197 nM, respectively, in comparison to the reference novobiocin (IC<sub>50</sub> = 170 nM). Compounds <b>11b</b> and <b>11e</b> have significant antibacterial efficacy against both Gram-positive and Gram-negative bacterial strains, as demonstrated by a twofold serial dilution experiment. They exhibit similar efficacy against <i>S. aureus, E. coli</i>, and <i>P. aeruginosa</i>, demonstrating more potency than ciprofloxacin, however displaying reduced effectiveness against <i>B. subtilis</i> compared to ciprofloxacin. Thiazole ; Combinatorial chemistry ; Antioxidant ; Chemistry ; Antibacterial activity ; Nanotechnology ; Pharmacology ; Stereochemistry ; Organic chemistry ; Materials science ; Biology ; Bacteria Synthesis and biological activity ; Click Chemistry and Applications ; Synthesis and Characterization of Heterocyclic Compounds
Authors: Lulu Xu | Wenqing Chen | Qian Li | Rohit Gupta | Biswajoy Bagchi | Laurence Lovat | Manish K. Tiwari
Source: Advanced Functional Materials (article, 2025-07-04)
Field: Chemistry — Organic Chemistry

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning Abstract Wearable sensors enable continuous monitoring of physiological parameters and detection of deviations from healthy baselines, offering significant potential for personalized health management and disease diagnosis. The COVID‐19 pandemic accelerates the adoption of smart face masks among the general population, particularly for respiratory health monitoring. In response to this need, a sustainable ink formulation for 3D direct‐write ink printing is developed by integrating MXene with waterborne polyurethane (WPU), resulting in nanocomposite interconnects that exhibit excellent mechanical strength and electrical performance. The nanocomposites are printed directly on textiles compatible for wearable sensing applications to obtain devices that exhibit low resistance (∼1.8 Ω cm −2 ), good biocompatibility (cell viability &gt; 94%), and nacre‐mimetic microstructure with high tensile strength (∼120 MPa). The nanocomposite formulation is utilized to print textile‐integrated near field communication (NFC) coils and humidity sensors, with high sensitivity, stability, and reproducibility. By combining the time‐series data recorded by the wireless humidity sensor node with convolutional neural network‐based machine learning model, the sensor is able to distinguish between a range of respiratory patterns with an accuracy of ≈90%. This work should serve as an example for scalable manufacturing, high‐performance, and multifunctional e‐textiles suitable for wireless healthcare and other related applications. Materials science ; Textile ; Nanotechnology ; Smart material ; Pattern recognition (psychology) ; Artificial intelligence ; Computer science ; Composite material Polydiacetylene-based materials and applications ; Advanced Sensor and Energy Harvesting Materials ; MXene and MAX Phase Materials