Selin Şahin

Prof. Dr. Selin Şahin

Chemical Engineering Department, Istanbul University-Cerrahpaşa, 34320 Avcilar, Istanbul, Turkey
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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 June 2017 in Molecules
Verified
Journal Article
Open access
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Selin ŞahinSelin Şahin
Selin Şahin
RSRuya Samli
Ruya Samli
ATAyşe Seher Birteksöz Tan
Ayşe Seher Birteksöz Tan
Francisco J. BarbaFrancisco J. Barba
Francisco J. Barba
Farid ChematFarid Chemat
Farid Chemat
Jose Manuel LorenzoJose Manuel Lorenzo
Jose Manuel Lorenzo
Response surface methodology (RSM) and artificial neural networks (ANN) were evaluated and compared in order to decide which method was the most appropriate to predict and optimize total phenolic content (TPC) and oleuropein yields in olive tree leaf (Olea europaea) extracts, obtained after solvent-free microwave-assisted extraction (SFMAE). The SFMAE processing conditions were: microwave irradiation power 250–350 W, extraction time 2–3 min, and the amount of sample 5–10 g. Furthermore, the antioxidant and antimicrobial activities of the olive leaf extracts, obtained under optimal extraction conditions, were assessed by several in vitro assays. ANN had better prediction performance for TPC and oleuropein yields compared to RSM. The optimum extraction conditions to recover both TPC and oleuropein were: irradiation power 250 W, extraction time 2 min, and amount of sample 5 g, independent of the method used for prediction. Under these conditions, the maximal yield of oleuropein (0.060 ± 0.012 ppm) was obtained and the amount of TPC was 2.480 ± 0.060 ppm. Moreover, olive leaf extracts obtained under optimum SFMAE conditions showed antibacterial activity against S. aureus and S. epidermidis, with a minimum inhibitory concentration (MIC) value of 1.25 mg/mL.

15 November 2017 in Marine Drugs
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Journal Article
Open access
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Jose Manuel LorenzoJose Manuel Lorenzo
Jose Manuel Lorenzo
RARubén Agregán
Rubén Agregán
PMPaulo Munekata
Paulo Munekata
Daniel Franco RuizDaniel Franco Ruiz
Daniel Franco Ruiz
Javier CarballoJavier Carballo
Javier Carballo
Francisco J. BarbaFrancisco J. Barba
Francisco J. Barba
Proximate composition (moisture, protein, lipid and ash content) and nutritional value (fatty acid, amino acid and mineral profile) of three macroalgae (Ascophyllum nodosum, Fucus vesiculosus and Bifurcaria bifurcate) were studied. Chemical composition was significantly (p < 0.001) different among the three seaweeds. In this regard, the B. bifurcata presented the highest fat content (6.54% of dry matter); whereas, F. vesiculosus showed the highest protein level (12.99% dry matter). Regarding fatty acid content, the polyunsaturated fatty acids (PUFAs) were the most abundant followed by saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs). On the other hand, the three seaweeds are a rich source of K (from 3781.35 to 9316.28 mg/100 g), Mn (from 8.28 to 1.96 mg/100 g), Na (from 1836.82 to 4575.71 mg/100 g) and Ca (from 984.73 to 1160.27 mg/100 g). Finally, the most abundant amino acid was glutamic acid (1874.47–1504.53 mg/100 dry matter), followed by aspartic acid (1677.01–800.84 mg/100 g dry matter) and alanine (985.40–655.73 mg/100 g dry matter).

21 September 2017 in Journal of the Science of Food and Agriculture
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Selin ŞahinSelin Şahin
Selin Şahin
Mehmet BilginMehmet Bilgin
Mehmet Bilgin

1 January 2013 in Journal of the Taiwan Institute of Chemical Engineers
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Journal Article
Closed access
Mehmet BilginMehmet Bilgin
Mehmet Bilgin
Selin ŞahinSelin Şahin
Selin Şahin

13 February 2018 in Journal of Food Processing and Preservation
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Journal Article
Closed access
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Selin ŞahinSelin Şahin
Selin Şahin
EEElaf Elhussein
Elaf Elhussein
Mehmet BilginMehmet Bilgin
Mehmet Bilgin
Jose Manuel LorenzoJose Manuel Lorenzo
Jose Manuel Lorenzo
Francisco J. BarbaFrancisco J. Barba
Francisco J. Barba
SRShahin Roohinejad
Shahin Roohinejad