jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: Hui Wang | Hong-Ju He | Hanjun Ma | Fusheng Chen | Zhuangli Kang | Mingming Zhu | Zhengrong Wang | Shengming Zhao | Rongguang Zhu
Source: International journal of agricultural and biological engineering (article, 2019-01-01)
Field: Chemistry — Analytical Chemistry

LW-NIR hyperspectral imaging for rapid prediction of TVC in chicken flesh Total viable count (TVC) is often used as an important indicator for chicken freshness evaluation. In this study, 112 fresh chicken flesh samples were acquired after slaughtered and their hyperspectral images were collected in the LW-NIR (900-1700 nm) range. The full LW-NIR spectra (486 wavebands) within the images were extracted and applied to related to reference TVC values measured in different storage period, using partial least squares regression (PLSR) algorithm, resulting in high correlation coefficients (R) and low root mean square errors (RMSE), for either raw spectra or pretreatment spectra. By using regression coefficients (RC) method, 20, 18, 17 and 20 optimal wavebands were respectively selected from raw spectra, baseline correction (BC) spectra, Savitzky-Golay convolution smoothing (SGCS) spectra and standard normal variate (SNV) spectra and applied for the optimization of original full waveband PLSR model. By comparison, RC-PLSR model based on the SGCS spectra showed a better performance in TVC prediction with RC of 0.98 and RMSEC of 0.35 log10 CFU/g in calibration set, and RP of 0.98 and RMSEP of 0.44 log10 CFU/g in prediction set. At last, by transferring the best RC-PLSR model, the dynamic TVC change during the storage was visualized by color maps to indicate the TVC spoilage degree. The overall study revealed that LW-NIR hyperspectral imaging combined with PLSR could be used to predict the freshness of chicken flesh. Keywords: hyperspectral imaging, chicken, TVC, partial least square regression (PLSR) DOI: 10.25165/j.ijabe.20191203.4444 Citation: H Wang, H J He, H J Ma, F S Chen, Z L Kang, M M Zhu, et al. LW-NIR hyperspectral imaging for rapid prediction of TVC in chicken flesh. Int J Agric & Biol Eng, 2019; 12(3): 180–186. Partial least squares regression ; Hyperspectral imaging ; Mathematics ; Mean squared error ; Statistics ; Artificial intelligence ; Computer science Spectroscopy and Chemometric Analyses ; Meat and Animal Product Quality
Authors: Rossana Roila | Istituto Zooprofilattico Sperimentale dell’Umbria e delle Marche “Togo Rosati”, Perugia, Italy | David Ranucci | Andrea Valiani | Roberta Galarini | Maurizio Servili | Raffaella Branciari
Source: Acta Scientiarum Polonorum Technologia Alimentaria (article, 2019-03-30)
Field: Chemistry — Organic Chemistry

Antimicrobial and anti-biofilm activity of olive oil by-products against Campylobacter spp. isolated from chicken meat OMWW-SD could be developed as a new anti-biofilm agent with potential to control Campylo- bacter in the food chain, especially in the poultry industry, thereby enhancing food safety. Antimicrobial ; Campylobacter ; Food science ; Olive oil ; Biofilm ; Microbiology ; Biology ; Bacteria Edible Oils Quality and Analysis ; Advanced Chemical Sensor Technologies ; Nuts composition and effects
Authors: Lisa I. Stephens | Nicholas A. Payne | Sebastian Amland Skaanvik | David Polcari | Matthias Geißler | Janine Mauzeroll
Source: Analytical Chemistry (article, 2019-02-19)
Field: Chemistry — Electrochemistry

Evaluating the Use of Edge Detection in Extracting Feature Size from Scanning Electrochemical Microscopy Images The edge of a reactive or topographical feature is hard to estimate from feedback-based scanning electrochemical microscopy due to diffusional blurring, but is crucial to determining the accurate size and shape of these features. In this work, numerical simulations are used to demonstrate that the inflection point in a 1D line scan corresponds well to the true feature edge. This approach is then applied in 2D using the Canny algorithm to experimental images of two model substrates and a biological sample. This approach circumvents the need for aligning the imaged region between separate microscopy techniques, reveals hidden details embedded in SECM images, and allows individual features to be separated from their background more effectively. Scanning electrochemical microscopy ; Feature (linguistics) ; Inflection point ; Enhanced Data Rates for GSM Evolution ; Microscopy ; Artificial intelligence ; Chemistry ; Edge detection ; Pattern recognition (psychology) ; Line (geometry) ; Sample (material) ; Computer vision ; Biological system ; Optics ; Computer science ; Image processing ; Image (mathematics) ; Electrochemistry ; Physics ; Mathematics ; Geometry ; Chromatography Electrochemical Analysis and Applications ; Force Microscopy Techniques and Applications ; Analytical Chemistry and Sensors
Authors: Youngwook Seo | Hoonsoo Lee | Changyeun Mo | Moon S. Kim | Insuck Baek | Jayoung Lee | Byoung–Kwan Cho
Source: Sensors (article, 2019-08-09)
Field: Chemistry — Analytical Chemistry

Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses Rapid and reliable inspection of food is essential to ensure food safety, particularly in mass production and processing environments. Many studies have focused on spectral imaging for poultry inspection; however, no research has explored the use of multispectral fluorescence imaging (MFI) for on-line poultry inspection. In this study, the feasibility of MFI for on-line detection of fecal matter from the ceca, colon, duodenum, and small intestine of poultry carcasses was investigated for the first time. A multispectral line-scan fluorescence imaging system was integrated with a commercial poultry conveying system, and the images of chicken carcasses with fecal contaminants were scanned at processing line speeds of one, three, and five birds per second. To develop an optimal detection and classification algorithm to distinguish upper and lower feces-contaminated parts from skin, the principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were first performed using the spectral data of the selected regions, and then applied in spatial domain to visualize the feces-contaminated area based on binary images. Our results demonstrated that for the spectral data analysis, both the PCA and PLS-DA can distinguish the high and low feces-contaminated area from normal skin; however, the PCA analysis based on selected band ratio images (F630 nm/F600 nm) exhibited better visualization and discrimination of feces-contaminated area, compared with the PLS-DA-based developed chemical images. A color image analysis using histogram equalization, sharpening, median filter, and threshold value (1) demonstrated 78% accuracy. Thus, the MFI system can be developed utilizing the two band ratios for on-line implementation for the effective detection of fecal contamination on chicken carcasses. Multispectral image ; Principal component analysis ; Linear discriminant analysis ; Artificial intelligence ; Remote sensing ; Environmental science ; Computer vision ; Pattern recognition (psychology) ; Computer science ; Geography Spectroscopy and Chemometric Analyses ; Water Quality Monitoring and Analysis ; Spectroscopy Techniques in Biomedical and Chemical Research
Authors: Tahir Mehmood | Maryam Sadiq | Muhammad Aslam
Source: IEEE Access (article, 2019-01-01)
Field: Chemistry — Analytical Chemistry

Filter-Based Factor Selection Methods in Partial Least Squares Regression Factor discovery of high-dimensional data is a crucial problem and extremely challenging from a scientific viewpoint with enormous applications in research studies. In this study, the main focus is to introduce the improved subset factor selection method and hence, 9 subset selection methods for partial least squares regression (PLSR) based on filter factor subset selection approach are proposed. Existing and proposed methods are compared in terms of accuracy, sensitivity, F1 score and number of selected factors over the simulated data set. Further, these methods are practiced on a real data set of nutritional status of children obtained from Pakistan Demographic and Health Survey (PDHS) by addressing performance using a Monte Carlo algorithm. The optimal method is implemented to assess the important factors of nutritional status of children. Dispersion importance (DIMP) factor selection index for PLSR is observed to be a more efficient method regarding accuracy and number of selected factors. The recommended factors contain key information for the nutritional status of children and could be useful in related research. Partial least squares regression ; Selection (genetic algorithm) ; Computer science ; Data mining ; Data set ; Set (abstract data type) ; Filter (signal processing) ; Regression ; Monte Carlo method ; Statistics ; Artificial intelligence ; Machine learning ; Mathematics Spectroscopy and Chemometric Analyses ; Advanced Statistical Methods and Models ; Grey System Theory Applications
Authors: Chi Zhang | Benoît Coasne | R. A. Guyer | Dominique Derome | Jan Carmeliet
Source: Cellulose (article, 2019-10-31)
Field: Materials Science — Biomaterials

Moisture-induced crossover in the thermodynamic and mechanical response of hydrophilic biopolymer The use of natural sustainable resources such as wood in green industrial processes is currently limited by our poor understanding of the impact of moisture on their thermodynamic and mechanical behaviors. Here, a molecular dynamics approach is used to investigate the physical response of a typical hydrophilic biopolymer in softwood hemicellulose-xylan-when subjected to moisture adsorption. A unique moisture-induced crossover is found in the thermodynamic and mechanical properties of this prototypical biopolymer with many quantities such as the heat of adsorption, heat capacity, thermal expansion and elastic moduli exhibiting a marked evolution change for a moisture content about 30 wt%. By investigating the microscopic structure of the confined water molecules and the polymer-water interfacial area, the molecular mechanism responsible for this crossover is shown to correspond to the formation of a double-layer adsorbed film along the amorphous polymeric chains. In addition to this moisture-induced crossover, many properties of the hydrated biopolymer are found to obey simple material models. Biopolymer ; Moisture ; Materials science ; Adsorption ; Polymer ; Water content ; Chemical engineering ; Composite material ; Chemistry ; Organic chemistry Advanced Cellulose Research Studies ; Natural Fiber Reinforced Composites ; Polysaccharides Composition and Applications
Authors: Xiaoyu Cheng | T. P. Anthony | Claire A. West | Zhongwei Hu | Vignesh Sundaresan | Aaron J. McLeod | David J. Masiello | Katherine A. Willets
Source: The Journal of Physical Chemistry Letters (article, 2019-03-06)
Field: Materials Science — Electronic, Optical and Magnetic Materials

Plasmon Heating Promotes Ligand Reorganization on Single Gold Nanorods Single-molecule fluorescence microscopy is used to follow dynamic ligand reorganization on the surface of single plasmonic gold nanorods. Fluorescently labeled DNA is attached to gold nanorods via a gold-thiol bond using a low-pH loading method. No fluorescence activity is initially observed from the fluorescent labels on the nanorod surface, which we attribute to a collapsed geometry of DNA on the metal. Upon several minutes of laser illumination, a marked increase in fluorescence activity is observed, suggesting that the ligand shell reorganizes from a collapsed, quenched geometry to an upright, ordered geometry. The ligand reorganization is facilitated by plasmon-mediated photothermal heating, as verified by controls using an external heat source and simulated by coupled optical and heat diffusion modeling. Using super-resolution image reconstruction, we observe spatial variations in which ligand reorganization occurs at the single-particle level. The results suggest the possibility of nonuniform plasmonic heating, which would be hidden with traditional ensemble-averaged measurements. Nanorod ; Plasmon ; Materials science ; Nanotechnology ; Ligand (biochemistry) ; Optoelectronics ; Chemistry Gold and Silver Nanoparticles Synthesis and Applications ; Advanced biosensing and bioanalysis techniques ; Molecular Junctions and Nanostructures
Authors: Ahmed M. Masoud | Muhammad Saeed | Ahmed Taha | M. M. El-Maadawy
Source: Egyptian Journal of Chemistry (article, 2019-07-07)
Field: Chemistry — Inorganic Chemistry

Uranium adsorption from Bahariya Oasis leach liquor via TOPO impregnated bentonite material; Isothermal, kinetic and thermodynamic studies The current study includes the application of cost effective TOPO (tri-n-octylphosphine oxide) impregnated bentonite for efficient uranium adsorption adsorption. Various experimental parameters (pH, time, adsorbent weight, mechanical stirring, uranium concentration and temperature) were thoroughly investigated. The synthesized trioctylphosphine oxide (TOPO) based adsorbent was characterized via XRD, SEM, BET, TGA and FT-IR. The results showed 78.3% uranium adsorption can be achieved under optimized conditions (30 min, TOPO impregnated onto bentonite form 1.87M sulfate leach liquor solution of 250 mg/L at room temperature). The obtained findings fitted well with thermodynamic, isothermal (0<RL<1, favorable adsorption) and pseudo second order kinetics (rate constant 0.20 g/mg min-1). In thermodynamical studies negative sign of (∆G°) specified the spontaneity of process, (∆H°)(endothermic) and positive sign (∆S°) show high randomness after adsorption. Adsorption ; Bentonite ; Uranium ; Endothermic process ; Isothermal process ; Chemistry ; Nuclear chemistry ; Materials science ; Chemical engineering ; Thermodynamics ; Metallurgy ; Physical chemistry Radioactive element chemistry and processing ; Extraction and Separation Processes ; Chemical Synthesis and Characterization
Authors: Ahmed Awadallah‐F | Febrian Hillman | Shaheen A. Al‐Muhtaseb | Hae‐Kwon Jeong
Source: Journal of Nanomaterials (article, 2019-12-23)
Field: Chemistry — Inorganic Chemistry

Adsorption of Carbon Dioxide, Methane, and Nitrogen Gases onto ZIF Compounds with Zinc, Cobalt, and Zinc/Cobalt Metal Centers ZIF-8, Co-ZIF-8, and Zn/Co-ZIF-8 are utilized in adsorbing nitrogen (N 2 ), methane (CH 4 ), and carbon dioxide (CO 2 ) gases at temperatures between 25 and 55°C and pressures up to ~1 MPa. Equilibrium adsorption isotherms and adsorption kinetics are studied. The dual-site Langmuir equation is employed to correlate the nonisothermal adsorption equilibrium behavior. Generally, N 2 showed the lowest equilibrium adsorption quantity on the three samples, whereas CO 2 showed the highest equilibrium adsorption capacity. Amid the ZIF samples, the biggest adsorption quantities of N 2 and CH 4 were onto Zn/Co-ZIF-8, whereas the highest adsorption quantity of CO 2 was on ZIF-8. The isosteric heats of adsorbing these gases on ZIF-8, Co-ZIF-8, and Zn/Co-ZIF-8 were examined. Moreover, the overall mass transfer coefficients of adsorption at different temperatures were investigated. Adsorption ; Cobalt ; Methane ; Zinc ; Materials science ; Carbon dioxide ; Metal ; Nitrogen ; Inorganic chemistry ; Carbon fibers ; Metal-organic framework ; Chemistry ; Physical chemistry ; Organic chemistry ; Composite number ; Metallurgy ; Composite material Metal-Organic Frameworks: Synthesis and Applications ; Covalent Organic Framework Applications ; Carbon Dioxide Capture Technologies
Authors: Mona Ebadi | Kalaivani Buskaran | Bullo Saifullah | Sharida Fakurazi | Mohd Zobir Hussein
Source: International Journal of Molecular Sciences (article, 2019-08-01)
Field: Materials Science — Materials Chemistry

The Impact of Magnesium–Aluminum-Layered Double Hydroxide-Based Polyvinyl Alcohol Coated on Magnetite on the Preparation of Core-Shell Nanoparticles as a Drug Delivery Agent One of the current developments in drug research is the controlled release formulation of drugs, which can be released in a controlled manner at a specific target in the body. Due to the diverse physical and chemical properties of various drugs, a smart drug delivery system is highly sought after. The present study aimed to develop a novel drug delivery system using magnetite nanoparticles as the core and coated with polyvinyl alcohol (PVA), a drug 5-fluorouracil (5FU) and Mg-Al-layered double hydroxide (MLDH) for the formation of FPVA-FU-MLDH nanoparticles. The existence of the coated nanoparticles was supported by various physico-chemical analyses. In addition, the drug content, kinetics, and mechanism of drug release also were studied. 5-fluorouracil (5FU) was found to be released in a controlled manner from the nanoparticles at pH = 4.8 (representing the cancerous cellular environment) and pH = 7.4 (representing the blood environment), governed by pseudo-second-order kinetics. The cytotoxicity study revealed that the anticancer delivery system of FPVA-FU-MLDH nanoparticles showed much better anticancer activity than the free drug, 5FU, against liver cancer and HepG2 cells, and at the same time, it was found to be less toxic to the normal fibroblast 3T3 cells. Drug delivery ; Polyvinyl alcohol ; Nanoparticle ; Hydroxide ; Drug ; Chemistry ; Targeted drug delivery ; Kinetics ; Nanotechnology ; Chemical engineering ; Materials science ; Pharmacology ; Organic chemistry ; Medicine Layered Double Hydroxides Synthesis and Applications ; Nanomaterials for catalytic reactions ; Magnesium Oxide Properties and Applications
Authors: Jian Yu | Lirong Zhang | Bin Liu
Source: International Journal of Environmental Research and Public Health (article, 2019-09-07)
Field: Materials Science — Biomaterials

Adsorption of Malachite Green with Sodium Dodecylbenzene Sulfonate Modified Sepiolite: Characterization, Adsorption Performance and Regeneration The adsorption of malachite green (MG) onto sodium dodecylbenzene sulfonate (SDBS)-modified sepiolite was investigated with respect to pH, oscillation rate, MG dosage and adsorbent dosage. The modification condition and modified sepiolite characterization were examined. The conditions of 100% cation exchange capacity (CEC), pH value of 9, contact time of 60 min and 25 °C were deemed as the optimal conditions. The interlayer spacing of sepiolite was expanded and the surface hydrophobicity improved due to the entering of SDBS into the interlayer structure of the sepiolite ore. This is probably the reason for its adsorption enhancement. The adsorption of malachite green by organic sepiolite is in line with the quasi-secondary kinetic model. The results from the regeneration procedure suggest that a superior regeneration property obtained with 0.2 mol/L HCl concentration. Dodecylbenzene ; Sepiolite ; Adsorption ; Malachite green ; Sulfonate ; Chemistry ; Sodium ; Chemical engineering ; Inorganic chemistry ; Chromatography ; Organic chemistry Clay minerals and soil interactions ; Adsorption and biosorption for pollutant removal ; Minerals Flotation and Separation Techniques
Authors: F. García Flórez | Aditya Kulkarni | Laurens D. A. Siebbeles | H. T. C. Stoof
Source: Physical review. B./Physical review. B (article, 2019-12-09)
Field: Materials Science — Materials Chemistry

Explaining observed stability of excitons in highly excited CdSe nanoplatelets Two-dimensional electron-hole gases in colloidal semiconductors have a wide variety of applications. Therefore, a proper physical understanding of these materials is of great importance. In this paper we present a detailed theoretical analysis of the recent experimental results by Tomar et al. [J. Phys. Chem. C 123, 9640 (2019)] that show an unexpected stability of excitons in CdSe nanoplatelets at high photoexcitation densities. Including the screening effects by free charges on the exciton properties, our analysis shows that CdSe nanoplatelets behave very differently from bulk CdSe, and in particular do not show a crossover to an electron-hole plasma in the density range studied experimentally, even though there is substantial overlap between the excitons at the highest densities achieved. From our results we also conclude that a quantum degenerate exciton gas is realized in the experiments, which opens the prospect of observing superfluidity in CdSe nanoplatelets in the near future. Exciton ; Photoexcitation ; Semiconductor ; Degenerate energy levels ; Biexciton ; Excited state ; Materials science ; Chemical physics ; Electron ; Condensed matter physics ; Range (aeronautics) ; Quantum dot ; Nanotechnology ; Molecular physics ; Physics ; Atomic physics ; Optoelectronics ; Quantum mechanics Quantum Dots Synthesis And Properties ; Chalcogenide Semiconductor Thin Films ; 2D Materials and Applications
Authors: Florent Faure | Arnaud Perrot | Sylvie Pimbert | Thibaut Lecompte
Source: Polymer Testing (article, 2019-05-13)
Field: Materials Science — Polymers and Plastics

Water absorption measurements on WPCs: Assessment of size and direction dependencies in order to design fast and accurate quality control tests Materials science ; Absorption of water ; Composite material ; Diffusion ; Fick's laws of diffusion ; Swelling ; Absorption (acoustics) ; Cracking ; Attenuation coefficient ; Thermodynamics ; Optics Natural Fiber Reinforced Composites ; Wood Treatment and Properties ; Mechanical Behavior of Composites
Authors: Siniša Đurašević | Gorana Nikolić | Ivan Zaletel | Ilijana Grigorov | Lidija Memon | Dragana Mitić-Ćulafić | Predrag Vujović | Jelena Đorđević | Zoran Todorović
Source: Journal of Functional Foods (article, 2019-11-03)
Field: Chemistry — Inorganic Chemistry

Distinct effects of virgin coconut oil supplementation on the glucose and lipid homeostasis in non-diabetic and alloxan-induced diabetic rats Non-diabetic and alloxan-induced diabetic rats were fed with standard laboratory food enriched with 20% virgin coconut oil for 16 weeks. In non-diabetic animals coconut oil improved insulin sensitivity and ability to control glycaemia and decreased the serum triglycerides for almost 50% in comparison with controls. Supplementation with coconut oil caused liver steatosis in both non-diabetic and diabetic animals. However, the severity of steatosis was lower in diabetic animals compared to non-diabetic animals. Coconut oil had no effects on heart histology, ascending and abdominal aorta wall thickening and atherosclerotic plaques development neither in non-diabetic nor in diabetic animals. While alloxan treatment caused Type I diabetes in rats, supplementation with coconut oil in combination with the alloxan unexpectedly resulted in Type II diabetes. The development of severe insulin resistance and deterioration in serum lipid profile implied that the use of coconut oil is contraindicated in diabetic condition. Alloxan ; Coconut oil ; Diabetes mellitus ; Internal medicine ; Steatosis ; Endocrinology ; Medicine ; Lipid profile ; Insulin resistance ; Insulin ; Type 2 diabetes ; Pathology Coconut Research and Applications ; Fatty Acid Research and Health ; Biochemical Analysis and Sensing Techniques