Food Engineering / Gıda Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/12
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Article Citation - WoS: 9Citation - Scopus: 11Development of a Functional Chocolate Using Gamma-Amino Butyric Acid Producer Lacticaseibacillus Rhamnosus Nrrl B-442(Elsevier, 2022) Özer, Merve; Öztürk, Burcu; Hayaloğlu, Ali Adnan; Tellioğlu Harsa, ŞebnemThe human microbiota is influenced by the immune and nervous systems of the host. Gamma-aminobutyric acid (GABA) is known as bioactive compound and it has important physiological functions, such as anti-hypertensive and antidepressant activities. Lactic acid bacteria (LAB), especially Lactobacillus species are known as the most important GABA producers because of the food-grade nature. The purpose of this study is to develop a functional chocolate using microencapsulated GABA producer Lacticaseibacillus rhamnosus NRRL B-442 strain for patients having an anxiety disorder. Water-in-oil emulsion technique was conducted for microencapsulation using whey-pullulan complex. Microencapsulated and free L. rhamnosus cell counts were 6.75 and 7.20 log CFU/g in chocolates, respectively, at the end of 60 days. During simulated in vitro digestion analysis, survival rate of microencapsulated bacteria in chocolate samples was found at higher percentage (87%) than free bacteria (75%). Furthermore, microencapsulated L. rhamnosus did not affect the physical, chemical, and sensory properties of chocolate. Consequently, L. rhamnosus with the highest GABA producing capability may provide insight for an anxiety disorder patient, since this strain has been thought as having a therapeutic effect. A new functional food model was developed for “GutBrain Axis” phenomena since the chocolate could be accepted as a good carrier for GABA producer bacteria.Article Citation - WoS: 15Citation - Scopus: 17Effect of Different Microencapsulating Materials on the Viability of S. Thermophilus Ccm4757 Incorporated Into Dark and Milk Chocolates(Elsevier Ltd., 2021) Öztürk, Burcu; Elvan, Menşure; Özer, Merve; Tellioğlu Harsa, ŞebnemThis study aimed to evaluate the viability and bioaccessibility of Streptococcus thermophilus CCM4757 strain supplemented in dark and milk chocolates during storage period and pass through simulated in vitro gastro-intestinal tract. Microencapsulated and non-microencapsulated S. thermophilus CCM4757 strain added into the chocolates. Emulsion technique was used to microencapsulate cells with various biopolymers; carboxymethylcellulose, pectin, gum arabic, and cellobiose. The microencapsulated S. thermophilus with these coating materials was found to be viable higher than 9 log CFU/g up to 180 days of storage at 4 °C. Microbiological, physicochemical, and sensorial attributes of the chocolates containing microencapsulated and non-microencapsulated S. thermophilus CCM4757 were analyzed. The microencapsulated S. thermophilus showed a good survivability in milk (7.12 log CFU/g) and dark (6.90 log CFU/g) chocolate samples during 180-day storage at 4 °C. Supplementation of S. thermophilus did not affect significantly (P > 0.05) the sensory attributes of the chocolates. The results showed that S. thermophilus CCM4757 exhibited good cell survivability higher than 85% in chocolates under simulated gastro-intestinal fluids. S. thermophilus supplementation into the chocolate protected the viability of cells and did not affect the sensorial characteristics and moisture content of chocolates. The present study demonstrated that the dark and milk chocolates could be used as an important matrix to carry probiotics. © 2021 Elsevier LtdArticle Citation - WoS: 27Citation - Scopus: 30Combination of Visible and Mid-Infrared Spectra for the Prediction of Chemical Parameters of Wines(Elsevier Ltd., 2016) Şen, İlknur; Öztürk, Burcu; Tokatlı, Figen; Özen, BanuRapid and environmentally friendly methods for the prediction of chemical compositions have been an interest in the wine industry. The objective of the study was to show the potentials of combined use of visible and mid-infrared (MIR) spectroscopies to improve the prediction of various chemical compounds of wine as opposed to using mid-infrared range only. Wine samples of twelve grape varieties from two harvest years were analyzed. The chemical composition of wine samples was related to MIR and visible spectra using orthogonal partial least square (OPLS) regression technique. The prediction abilities were tested with crossvalidation and independent validation sets. The coefficient of determination of validation (R2 val) for anthocyanin compounds of red wines were between 0.76 and 0.90, and that for total phenol content was 0.90. Range of R2 val for glycerol, glycerol/ethanol ratio, malic acid, o-coumaric acid and °Brix were between 0.77 and 0.96. The spectral ranges that played significant roles in the predictions were also determined. The validations with independent data sets showed that the combination of visible and MIR ranges with multivariate methods improved the prediction of anthocyanin compounds and total phenols; produced comparable results for the rest of the parameters as MIR. This is the first study in the literature that shows the practical use of visible spectra along MIR. The combined use of these spectral ranges with multivariate models can be applied for the rapid, on-line determination of quality parameters and chemical profiles of wines.Article Citation - WoS: 32Citation - Scopus: 36Application of Mid-Infrared Spectroscopy for the Measurement of Several Quality Parameters of Alcoholic Beverages, Wine and Raki(Springer Verlag, 2012) Öztürk, Burcu; Yücesoy, Dila; Özen, BanuMid-infrared (IR) spectroscopy, which is a rapid and relatively small amount of waste producing technique, was used to predict several quality parameters of two types of alcoholic beverages, wine and raki. Mid-infrared spectra of red, rose and white wines and a traditional aniseed alcoholic beverage, raki were collected and relations were established between measured chemical parameters (pH, brix, total phenol content, anthocyanin content, titratable acidity, sugar content, electrical conductivity and some colour parameters) of these beverages and their infrared spectra using chemometric techniques. Partial least square regression provided excellent prediction of total phenol (R 2 = 0. 97) and anthocyanin contents (R 2 = 0. 98) of wine samples and a good prediction of pH (R 2 = 0. 9), brix (R 2 = 0. 92) and colour intensity (R 2 = 0. 93) values were obtained. Brix, total phenol and sugar content of raki samples were also estimated very successfully (R 2 = 0. 99) for raki and good prediction was obtained with pH value. Mid-IR spectroscopy in combination with chemometrics could be a promising technique for determination of several quality parameters of alcoholic beverages simultaneously and rapidly.