Teknik Bilimler Meslek Yüksekokulu Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/1629

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Citation - Scopus: 3
Anti-Colorectal Cancer Effects of Medicinal Plants: Euphorbia Helioscopia, Ferula Elaeochytris, and Sideritis Albiflora
(2021) Deveci, Ebru; Çayan, Gülsen Tel; Karakurt, Serdar; Duru, Mehmet Emin
Phytochemicals, extracts, and mixtures obtained from plants have been offered as an option for cancer treatment and prevention for modern drug discovery in recent years. For this purpose, in this study, anti-colorectal cancer effects of the hexane, acetone, methanol, and water extracts obtained by sequential extraction from Euphorbia helioscopia L., Ferula elaeochytris Korovin, and Sideritis albiflora Hub.-Mor. on DLD-1 cell line were investigated in vitro by using Alamar blue assay. Dosedependent inhibition was detected in the viability of DLD-1 cell line. In all three plants species, E. helioscopia (IC50: 140.83±0.31 µg/mL), F. elaeochytris (IC50: 67.93±0.12 µg/mL), and S. albiflora (IC50: 85.12±0.10 µg/mL) methanol extracts showed higher anti-colorectal effects on DLD-1 cell line compared to other extracts tested for the same species. In addition, the IC50 value of doxorubicin used as a standard was found as 6.10±0.55 µg/mL. With the results obtained, as the first report highlighting in vitro anti-colorectal cancer effects of the studied plant species on DLD-1 cell line, promising marks were obtained from the analysis of the extracts as anti-cancer sources for plant-derived drug applications.
Citation - Scopus: 11
Antioxidant, Cytotoxic, and Enzyme Inhibitory Activities of Agropyron Repens and Crataegus Monogyna Species
(2020) Deveci, Ebru; Çayan, Gülşen Tel; Karakurt, Serdar; Duru, Mehmet Emin
Objective: The aim of this study was to investigate antioxidant, enzyme inhibitory and cytotoxic activities of Agropyron repens and Crataegus monogyna methanol extracts with total phenolic and flavonoid contents. Materials and Methods: Total phenolic and flavonoid contents of A. repens and C. monogyna methanol extracts were measured according to Folin Ciocalteu and aluminum nitrate methods, respectively. Antioxidant and enzyme inhibitory activities of the methanol extracts were tested spectrophotometrically. Also, cytotoxic activities of the methanol extracts against DLD-1 and CCD-18Co were investigated by using Alamar Blue assay. Results: C. monogyna methanol extract with the highest total phenolic and flavonoid contents (68.13±0.34 µg GAEs/mg extract and 36.91±0.17 µg QEs/mg extract, respectively) had the best antioxidant activity in ?-carotene-linoleic acid ($IC_50$: 32.72±0.15 µg/mL), CUPRAC ($A_0.50$: 282.69±0.25 µg/mL), DPPH• ($IC_50$: 71.69±0.85 µg/mL), and ABTS•+ ($IC_50$: 40.43±0.55 µg/ mL) assays. A. repens methanol extract showed the highest effect against AChE (18.73±0.47 %), BChE (37.59±1.07 %), urease (89.18±0.84%), ?-glucosidase (6.71±0.23 %), whereas C. monogyna methanol extract showed the highest effect against tyrosinase (30.52±1.00%) and ?-amylase (37.24±0.06 %). Also, A. repens ($IC_50$: 57.38 µg/mL) and C. monogyna ($IC_50$: 54.04 µg/ mL) methanol extracts showed close cytotoxic activity on DLD-1. Conclusion: Antioxidant, cytotoxic, and enzyme inhibitory activities of A. repens and C. monogyna methanol extracts were investigated with total phenolic and flavonoid contents in this study. The results obtained with this study strengthen the potential of the studied plants as a new source for the discovery of antioxidant, cytotoxic, and enzyme inhibitor agents.
Citation - Scopus: 6
Chemical Composition, in Vitro Antimicrobial and Antioxidant Activities of Marine Macroalgae Codium Fragile (suringar) Hariot
(2022) Keskinkaya, Hatice Banu; Güneş, Erdoğan; Okudan, Emine Şükran; Akköz, Cengiz; Gümüş, Numan Emre; Karakurt, Serdar; Deveci, Ebru
Marine algae, which are the primary producers living in aquatic areas, are the subject of many studies due to their importance as they are eukaryotic and eutrophic organisms that play a crucial role in the pharmaceutical, cosmetic, food, fuel, and textile industries. Macroalgae are known in producing several macronutrients, micronutrients, and other important biologically active compounds (e.g. polyphenols, enzymes, and antibiotics) with potential pharmacological uses. In this research, we aimed to investigate the chemical composition, antimicrobial and antioxidant activities (with three assays), total phenolic (TPC) and flavonoid (TFC) contents of the methanol, ethanol, acetone, and water extracts of Codium fragile (Suringar) Hariot. The LC-ESI-MS/MS assessment allowed the identification of seven compounds containing gallic acid, 4-hydroxybenzaldehyde, 4-hidroxybenzoic acid, p-coumaric acid, salicylic acid, biochanin A, and diosgenin. TPC and TFC of the extracts were calculated as in the range of 10.34±0.13-64.67±0.02 µg GAEs/mg extract and 12.73±2.68-36.78±1.08 µg QEs/mg extract, respectively. All extracts of C. fragile showed antimicrobial activity against all test pathogens at different levels. The methanol, ethanol, and acetone extracts showed different levels of activity against gram-negative and gram-positive bacteria (MIC: 3.125-1.562 mg/mL). The water extract showed the highest activity in ABTS•+ (70.43±14.85%) and DPPH• (72.61±11.44%) assays while the acetone extract exhibited the best activity in CUPRAC (absorbance: 0.60±0.15) assay. The results we obtained approved that C. fragile could be valued as a natural source of bioactive agents for food preservatives and in other industrial and pharmaceutical fields.
Citation - Scopus: 6
Cytotoxic Activities of Methanol Extract and Compounds of Porodaedalea Pini Against Colorectal Cancer
(2021) Deveci, Ebru; Çayan, Gülsen Tel; Karakurt, Serdar; Duru, Mehmet Emin
Porodaedalea pini is a medicinally important mushroom with antioxidant, cytotoxic, immunostimulating, antitumor, antiviral and immunomodulating activities. Therefore, in this study, P. pini methanol extract and isolated compounds from the methanol extract were tested for cytotoxic activities against DLD-1 (colorectal cancer) and CCD-18Co (human colon fibroblast cell line) by using Alamar Blue assay. Cytotoxic activity on DLD-1 was decreased in the order of P. pini methanol extract> 4-(3,4- dihydroxyphenyl)but-3-en-2-one (3)> pinoresinol (2)> ergosta-7,24(28)-dien3?-ol (1). P. pini methanol extract was determined to have the best cytotoxic activity with the lowest IC50 value on DLD-1 (IC50: 25.33±0.29 µg/mL) and the highest IC50 value on CCD-18Co (434.30±1.45 µg/mL). Within the scope of the findings, it is thought that P. pini mushroom can be used as a new and natural agent in the treatment of colorectal cancer.
Citation - WoS: 2
Citation - Scopus: 2
Effect of Encapsulated Propolis on Microbial Quality and Antioxidant Activity of Yoghurt
(Mattioli 1885, 2022) Günhan, Rabia Serpil; Keskin, Şaban; Telli, Nihat; Takma, Çiğdem; Kolaylı, Sevgi
Yoghurt, a functional food, has been gained much attention on its production and consumption in the world. It is a fermented dairy product that contains lots of nutritional components. Some manufacturers have used some additives to extend the shelf life of yoghurt. Propolis could be alternative food additive instead of synthetic ones. Propolis is a resinous mixture collected by honeybees for hive protection. In this study functional yoghurt fortified with microencapsulated propolis was prepared. Ethanol extract of propolis was encapsulated by using sodium alginate, pectin and gelatin separately. The effect of microencapsulated propolis on physicochemical characteristics and microbial quality of yoghurts was tested. Especially the effect of propolis on unwanted microorganisms during storage was studied. Our results clearly showed that fortified yoghurt samples were better in terms of microbial quality during storage. It could be concluded that propolis could be a natural preservative for extending the shelf life of yoghurt.
Citation - Scopus: 1
Effect of the Tumbling Process and Kappa-Carrageenan Usage on the Quality Characteristics of Meat Loaf
(POLISH SOC VETERINARY SCIENCES EDITORIAL OFFICE, 2020) Telli, Nihat; Telli, Arife Ezgi; Biçer, Yusuf; Cebirbay, Muhammet Ali; Tekinşen, Kemal Kaan; Köseoğlu, İsmail Erim; Güner, Ahmet
In this study the authors aimed to determine the effects of the tumbling process and carrageenan usage on the physicochemical, microbiological and sensory properties of meat loaves, which are uncommon in Turkey and only produced at a sub-industrial level. The meat loaves were produced from beef (rib and chuck regions) and layer hen meat and partitioned equally into three groups. The first group served as a control group, whereas the second and third groups were processed by tumbling for 1 and 2 h, respectively. The tumbling programme involved 20 millibar pressure, with 3 min of operation and 1 min of stoppage. After tumbling, each group was divided into two equal parts, followed by the addition of 1% carrageenan to one part of each. This production was repeated, and the meat loaves were stored at 4 degrees C. Physicochemical, microbiological and sensory analyses of the final products were performed on the 0th, 3rd, 7th, 12th and 15th day of storage for assessing the product quality. The utilisation of carrageenan increased the beef and chicken meat loaves by 0.69% and 1.85%, respectively. The carrageenan reduced cooking loss by an average of 5% relative to the control group. The cutting and sensory properties of the groups produced by both tumbling and the addition of carrageenan exhibit higher scores than the other groups (P < 0.05). The average of the pH, aw, salt%, dry matter%, ash% and fat% in the beef meat loaves are 6.26, 0.938, 0.988, 31.52, 2.30 and 4.64, respectively, whereas corresponding values for chicken meat loaves are 6.26, 0.927, 1.23, 35.80, 2.18 and 7.38, respectively for the control groups. Yeast-mould growth was absent in all samples, containing 2.90-6.05 log(10) CFU/g TMAB, 2.00-4.27 log(10) CFU/g Micrococcus-Staphylococcus and 0-3.62 log(10 )CFU/g Enterobacteriaceae.
Citation - Scopus: 18
Fire Detection in Images Using Framework Based on Image Processing, Motion Detection and Convolutional Neural Network
(Ismail Saritas, 2021) Taşpınar, Yavuz Selim; Köklü, Murat; Altın, Mustafa
Fire detection in images has been frequently used recently to detect fire at an early stage. These methods play an important role in reducing the loss of life and property. Fire is not only chemically complex, but also physically very complex. The shape and color of the flame varies according to the type of fuel in the fire. This has made fire detection a very challenging problem. Advanced image processing algorithms are also needed to accurately detect fire. To solve this problem, a three-stage fire framework was created in this study. In the first stage, the flame region was extracted from the images containing the fire region with the basic image processing algorithms. At this stage, reduce brightness, HSL, YCbCr, median and herbaceous filters are applied successively to the image. Since the flame image has a polygonal structure by nature, the number of edges of the flame region has been found. In the second stage, the mobility feature of the flame was utilized. For this purpose, the mobility of the flame was determined by comparing the video frames containing the fire image. The CNN method was used to detect the fire in the images. The CNN model was trained with the transfer learning method using the Inception V3, SequeezeNet, VGG16 and VGG19 trained models. As a result of the tests of the models, 98.8%, 97.0%, 97.3% and 96.8% classification success were obtained, respectively. With the proposed fire detection framework, it is thought that the damage caused by the fire can be reduced by early detection of the fire and timely intervention. © 2021, Ismail Saritas. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Flame Retardant and Antimicrobial Paper Coatings With Rosemary Oil and Barium Borate
(Publishing House of the Romanian Academy, 2022) Çölük, Gökhan; Ural, Elif; Kandırmaz, Emine Arman
Adding an antimicrobial effect to the papers used in the cardboard packaging industry can extend the life of the packed product. Paper, due to its structure, has the property of being ignited quickly. Enhancing the properties of paper, the combination of antimicrobial protection, low flammability and good printability to the paper will expand its usage area in the packaging industry. In this study, barium borate was synthesized in order to impart low flammability to paper. Different combinations of rosemary oil and barium borate were mixed with binding starch in varying amounts, and formulations were prepared. With these mixtures, 80 g/m2 paper was coated using a laboratory-type paper coating machine. The antimicrobial properties of the paper were investigated by performing the disk diffusion antimicrobial test against E. coli and S. aureus bacteria. The Limiting Oxygen Index (LOI) test was performed to determine the low flammability of the paper. Color, gloss, contact angle and surface energy tests were performed for the printability properties of the paper. As a result, the coatings containing formulations of barium borate and rosemary oil, applied to the paper surface, succeeded in imparting antimicrobial and low flammability properties to the papers, while also improving the printability features. © 2022, Publishing House of the Romanian Academy. All rights reserved.
Citation - Scopus: 10
Identification of the English Accent Spoken in Different Countries by the K-Nearest Neighbor Method
(2020) Taşpınar, Yavuz Selim; Köklü, Murat; Altın, Mustafa
Sound is the pressure wave created by an object vibrating with a certain frequency. 3 organs are needed for the formation of voice in humans. These are lungs, vocal cords and mouth. Due to the structure of these organs and the similarity of the person with their current language, they can speak another language with different accent. A language can be spoken in different parts of the same country and in different countries. The second most widely used language in the world is English, has numerous accents around the world. In this study, it is aimed to determine which country the English accent spoken in different regions belongs to. In the dataset used, there are 330 sound samples including English accents spoken in Spain, France, Germany, Italy, England and America. Classification has been made with 12 features obtained by Mel Frequency Cepstrum Coefficients feature extraction method. k-Nearest Neighbor (kNN) were used in the classification and 87.2% success was achieved.
Citation - Scopus: 9
In Vitro Antidiabetic Activity of Seven Medicinal Plants Naturally Growing in Turkey
(2020) Deveci, Ebru; Çayan, Gülsen Tel; Duru, Mehmet Emin
Objective: Diabetes mellitus is a worldwide metabolic/endocrine disease that causes major medical problems. One of the most important strategies used in the therapy of the diabetes mellitus is the use of inhibition of ?-glucosidase and ?-amylase enzymes. Therefore, this study aimed to investigate antidiabetic activities of the hexane and methanol extracts of the medicinal plants from Turkey. Materials and Methods: The hexane and methanol extracts of Euphorbia helioscopia, Ferula elaeochytris, Sideritis albiflora, Sideritis stricta, Sideritis pisidica, Sideritis leptoclada, Salvia chionantha plants were prepared at room temperature. Antidiabetic activities of the extracts on ?-glucosidase and ?-amylase enzymes were determined. Results: S. pisidica hexane extract exhibited higher ?-amylase inhibitory activity than acarbose (96.60±0.08 %) used as a standard with an inhibition value of 97.99±0.79 % at 1000 µg/mL concentration. In terms of ?-glucosidase inhibitory activities, the extracts were ranked in the following order: F. elaeochytris hexane extract > S. leptoclada hexane extract > S. stricta hexane extract > E. helioscopia hexane extract. Conclusion: In this study, antidiabetic activities of the extracts on ?-glucosidase and ?-amylase enzymes of the studied medicinal plants were screened for the first time. It has been suggested that S. pisidica hexane extract can be used as antidiabetic agent.
Citation - WoS: 2
Citation - Scopus: 3
Isolation and Antimicrobial Resistance of Vancomycin Resistant Enterococcus Spp. (vre) and Methicillin-Resistant S. Aureus (mrsa) on Beef and Chicken Meat, and Workers Hands From Slaughterhouses and Retail Shops in Turkey
(Hellenic Veterinary Medical Soc, 2021) Telli, Nihat; Telli, A. Ezgi; Biçer, Yusuf; Türkal, Gamze; Uçar, Gürkan
The objectives of this study were to determine the presence and antimicrobial resistance of Methicillin Resistant Staphylococcus aureus (MRSA) and Vancomycin Resistant Enterococci (VRE) on beef and chicken carcasses and meat, and workers hands' at processing time from a cattle and a poultry slaughterhouse, and beef and chicken meat at retail level. Disk diffusion method was used to determine the antimicrobial resistance profile of the Enterococcus spp. and S. aureus isolates. Minimum Inhibitory Concentration (MIC) values were determined for vancomycin and oxacillin resistance. Finally, conventional PCR was performed to determine the presence of the mecA and vanA resistance genes in isolates classified resistant to oxacillin and vancomycin according to MIC values. S. aureus and Enterococcus faecium isolated from 17 (17%) and eight (8%) samples, respectively. E. faecalis was not detected in any sample. The highest resistance rates were to ampicillin (3/5, 60 %) and penicillin G (5/5, 100 %) in MRSA and tetracycline (4/5, 80 %) in VRE isolates. While the mecA gene was detected in all MRSA isolates, vanA gene was not detected in any of the phenotypically vancomycin resistant E. faecium isolates. The present study provides data for multiple antimicrobial resistance and presence of VRE and MRSA isolated from an ongoing surveillance in humans, livestock and poultry in Turkey.
Citation - Scopus: 18
Object Recognition With Hybrid Deep Learning Methods and Testing on Embedded Systems
(Ismail Saritas, 2020) Taşpınar, Yavuz Selim; Selek, Murat
Object recognition applications can be made with deep neural networks. However, this process may require intensive processing load. For this purpose, hybrid object recognition algorithms that can be created for the recognition of an object in the image and the comparison of the working time of these algorithms on various embedded systems are emphasized. While Haar Cascade, Local Binary Pattern (LBP) and Histogram Oriented Gradients (HOG) algorithms are used for object detection, Convolutional Neural Network (CNN) and Deep Neural Network (DNN) algorithms are used for classification. As a result, six hybrid structures such as Haar Cascade+CNN, LBP+CNN, HOG+CNN and Haar Cascade+DNN, LBP+DNN, HOG+DNN are developed. In this study, these 6 hybrid algorithms were analyzed in terms of success percentage and time, then compared with each other. Microsoft COCO dataset was used to train and test all these hybrid algorithms. Object recognition success of CNN was 76.33%. Object recognition success of Haar Cascade+CNN, one of the hybrid methods we recommend, with a success rate of 78.6% is higher than CNN and other hybrid methods. LBP+CNN method recognized objects in 0.487 seconds which is faster than any other hybrid methods. In our study, Nvidia Jetson TX2, Asus TinkerBoard, Raspbbery Pi 3 B+ were used as embedded systems. As a result of these tests, Haar Cascade+CNN method on Nvidia Jetson TX2 was detected in 0.1303 seconds, LBP+DNN and Haar Cascade+DNN methods on Asus Tinker Board were detected in 0.2459 seconds, and HOG+DNN method on Raspberry Pi 3 B+ was detected in 0.7153 seconds.. © 2020, Ismail Saritas. All rights reserved.

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