Energy efficiency in meat processing

Energy conservation plays a vital role towards sustainable development of meat processing. Energy costs for many meat plants represent the fourth highest operational cost. In meat processing, moderate levels of both electrical and thermal energy are consumed in wide range of processes and applications. However, energy efficiency improvement in the meat processing industry have been a focus to increase the sustainability of meat processing in the past decades. This chapter started with the examination of the energy use in meat processing facilities. The emerging energy-efficient technologies for meat processing were discussed in detail. Energy requirement for well-cooked meats varies with cooking method, appliances, and consumer behavior. Energy consumption reduction during meat cooking may have an influence on global energy requirement. Selection of cooking method, fuel, and cookware are beneficial for reducing the carbon footprint of the cooking unit. This chapter also presents the effects on quality characteristics of meat and meat products by different cooking methods

Effect of pretreatment and temperature on drying characteristics and quality of green banana peel

In banana cultivation, a considerable amount of the production is wasted every year because of various constraints present in the post-harvest management chain. Converting green banana pulp and peels into flour could help to reduce losses and enable the food sector to keep the product for an entire year or more. In order to use green banana fruit and peel flour in the food industry as a raw ingredient such as in bakery and confectionery items—namely biscuits, cookies, noodles, nutritious powder, etc.—it is essential to standardize the process for the production of the flour. As a result, the purpose of this study was to investigate the influence of pretreatment and temperature on the drying capabilities and quality of dried green banana peel. The green banana peel pieces were pretreated with 0.5 and 1.0% KMS (potassium metabisulfite), and untreated samples were taken as control, and dried at 40°, 50°, and 60 °C in a tray dryer. To reduce the initial moisture content of 90–91.58% (wb) to 6.25–9.73% (wb), a drying time of 510–360 min was required in all treatments. The moisture diffusivity (Deff) increased with temperature, i.e., Deff increased from 5.069–6.659 × 10−8, 6.013–7.653 × 10−8, and 4.969–6.510 × 10−8 m2/s for the control sample, 0.5% KMS, and 1.0% KMS, respectively. The Page model was determined to be the best suited for the drying data with the greatest R2 and the least χ2 and RSME values in comparison with the other two models. When 0.5% KMS-pretreated materials were dried at 60 °C, the water activity and drying time were minimal. Hue angle, chroma, and rehydration ratio were satisfactory and within the acceptable limits for 0.5% KMS-pretreated dried banana peel at 60 °C

Design of anti-fungal agents by 3D-QSAR

An increase in the number of invasive fungal infections especially in immunocompromised patients is increasing the mortality rate worldwide. Due to the emergence of drug-resistant fungi, the currently available antifungal drugs have become ineffective. Because no alternative treatment is available, some existing drugs are still used. Therefore, there is a need to design and develop novel and effective anti-fungal drugs. Molecular docking and 3-dimensional quantitative structure-activity relationship (3D-QSAR) methods have been useful approaches for the design of novel molecules. A set of 30 molecules reported in the literature containing azoles and non-azoles have been used in this study to derive 3D-QSAR.CoMFA and CoMSIA models for the most active compound and least active compounds have been developed. The structural requirements were obtained by analysing the contour maps. The partial least square analysis for CoMFA and CoMSIA showed a significant cross-validated correlation coefficient of 0.625 and 0.67 and a non-cross validated correlation coefficient of 0.991 and 0.99, respectively. The model was validated by observing the predicted correlation for test molecules with the value of 0.699 and 0.659, respectively

Calibration of the CMS hadron calorimeters using proton-proton collision data at root s=13 TeV

Methods are presented for calibrating the hadron calorimeter system of theCMSetector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one central detector and two endcaps. These calorimeters cover pseudorapidities vertical bar eta vertical bar ee data. The energy scale of the outer calorimeters has been determined with test beam data and is confirmed through data with high transverse momentum jets. In this paper, we present the details of the calibration methods and accuracy.Peer reviewe

Calibration of the CMS hadron calorimeters using proton-proton collision data at √s = 13 TeV

Methods are presented for calibrating the hadron calorimeter system of the CMS detector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one central detector and two endcaps. These calorimeters cover pseudorapidities |η| < 3 and are positioned inside the solenoidal magnet. An outer calorimeter, outside the magnet coil, covers |η| < 1.26, and a steel and quartz-fiber Cherenkov forward calorimeter extends the coverage to |η| < 5.19. The initial calibration of the calorimeters was based on results from test beams, augmented with the use of radioactive sources and lasers. The calibration was improved substantially using proton-proton collision data collected at √s = 7, 8, and 13 TeV, as well as cosmic ray muon data collected during the periods when the LHC beams were not present. The present calibration is performed using the 13 TeV data collected during 2016 corresponding to an integrated luminosity of 35.9 fb⁻¹. The intercalibration of channels exploits the approximate uniformity of energy collection over the azimuthal angle. The absolute energy scale of the central and endcap calorimeters is set using isolated charged hadrons. The energy scale for the electromagnetic portion of the forward calorimeters is set using Z→ ee data. The energy scale of the outer calorimeters has been determined with test beam data and is confirmed through data with high transverse momentum jets. In this paper, we present the details of the calibration methods and accuracy

Energy Efficiency in Meat Processing

Energy conservation plays a vital role towards sustainable development of meat processing. Energy costs for many meat plants represent the fourth highest operational cost. In meat processing, moderate levels of both electrical and thermal energy are consumed in wide range of processes and applications. However, energy efficiency improvement in the meat processing industry have been a focus to increase the sustainability of meat processing in the past decades. This chapter started with the examination of the energy use in meat processing facilities. The emerging energy-efficient technologies for meat processing were discussed in detail. Energy requirement for well-cooked meats varies with cooking method, appliances, and consumer behavior. Energy consumption reduction during meat cooking may have an influence on global energy requirement. Selection of cooking method, fuel, and cookware are beneficial for reducing the carbon footprint of the cooking unit. This chapter also presents the effects on quality characteristics of meat and meat products by different cooking methods

Design of anti-fungal agents by 3D-QSAR

744-754An increase in the number of invasive fungal infections especially in immunocompromised patients is increasing the mortality rate worldwide. Due to the emergence of drug-resistant fungi, the currently available antifungal drugs have become ineffective. Because no alternative treatment is available, some existing drugs are still used. Therefore, there is a need to design and develop novel and effective anti-fungal drugs. Molecular docking and 3-dimensional quantitative structure-activity relationship (3D-QSAR) methods have been useful approaches for the design of novel molecules. A set of 30 molecules reported in the literature containing azoles and non-azoles have been used in this study to derive 3DQSAR. CoMFA and CoMSIA models for the most active compound and least active compounds have been developed. The structural requirements were obtained by analysing the contour maps. The partial least square analysis for CoMFA and CoMSIA showed a significant cross-validated correlation coefficient of 0.625 and 0.67 and a non-cross validated correlation coefficient of 0.991 and 0.99, respectively. The model was validated by observing the predicted correlation for test molecules with the value of 0.699 and 0.659, respectively

PHARMACOPHORE MODELING AND ATOM-BASED 3D-QSAR STUDIES OF ANTIFUNGAL BENZOFURANS

A novel series of benzofuran analogs was reported as nonpeptidic Myristoyl-CoA: protein N -myristoyltransferase (Nmt) inhibitors. To find out the common structural requirement of these benzofurans inhibitors, a ligand based pharmacophore and atom-based 3D-QSAR model was generated. A five-point pharmacophore model was developed with two hydrogen bond acceptors (AA), one positive ionic atom (P) and two aromatic ring residues (RR). This is denoted as AAPRR. A statistically significant 3D-QSAR model for training set of 24 compounds was obtained using this pharmacophore hypothesis with correlation coefficient (r2 = 0.916) and high Fisher ratio (F =113.9). Also, the predictive power of generated model for test set of 5 compounds was found to be significant which was confirmed by the high value of cross validated correlation coefficient (q2 = 0.804) and Pearson-R (0.917). The results of ligand based pharmacophore hypothesis and atom based 3D-QSAR model explore the detailed structural perceptivities and also highlights the important binding features of benzofurans with Nmt.Â

Measurements of dose-rate effects in the radiation damage of plastic scintillator tiles using silicon photomultipliers

Measurements are presented of the reduction of signal output due to radiation damage for plastic scintillator tiles used in the hadron endcap (HE) calorimeter of the CMS detector. The tiles were exposed to particles produced in proton-proton (pp) collisions at the CERN LHC with a center-of-mass energy of 13 TeV, corresponding to a delivered luminosity of 50 fb$^{-1}$. The measurements are based on readout channels of the HE that were instrumented with silicon photomultipliers, and are derived using data from several sources: a laser calibration system, a movable radioactive source, as well as hadrons and muons produced in pp collisions. Results from several irradiation campaigns using $^{60}$Co sources are also discussed. The damage is presented as a function of dose rate. Within the range of these measurements, for a fixed dose the damage increases with decreasing dose rate

Measurements of dose-rate effects in the radiation damage of plastic scintillator tiles using silicon photomultipliers

Measurements are presented of the reduction of signal output due to radiation damage for plastic scintillator tiles used in the hadron endcap (HE) calorimeter of the CMS detector. The tiles were exposed to particles produced in proton-proton (pp) collisions at the CERN LHC with a center-of-mass energy of 13 TeV, corresponding to a delivered luminosity of 50 fb$^{-1}$. The measurements are based on readout channels of the HE that were instrumented with silicon photomultipliers, and are derived using data from several sources: a laser calibration system, a movable radioactive source, as well as hadrons and muons produced in pp collisions. Results from several irradiation campaigns using $^{60}$Co sources are also discussed. The damage is presented as a function of dose rate. Within the range of these measurements, for a fixed dose the damage increases with decreasing dose rate