Autor: Jin, Zi - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Amino acid substitutions of His296 alter the catalytic properties of Zymomonas mobilis 10232 levansucrase
Autorzy:: Li, Shu
Chen, Ming
Li, Gang
Yan, Yong
Yu, Hai
Zhan, Yu
Peng, Zi
Wang, Jin
Lin, Min
Powiązania:: https://bibliotekanauki.pl/articles/1040841.pdf
Data publikacji:: 2008
Wydawca:: Polskie Towarzystwo Biochemiczne
Tematy:: Zymomonas mobilis
His296
levansucrase
levan
transfructosylation activity
hydrolysis activity
Opis:: His296 of Zymomonas mobilis levansucrase (EC 2.4.1.10) is crucial for the catalysis of the transfructosylation reaction. The three-dimensional structures of levansucrases revealed the His296 is involved in the substrate recognition and binding. In this study, nine mutants were created by site-directed mutagenesis, in which His296 was substituted with amino acids of different polarity, charge and length. The substitutions of His296 with Arg or Trp retained partial hydrolysis and transfructosylation activities. The positively charged Lys substitution resulted in a 2.5-fold increase of sucrose hydrolysis. Substitutions with short (Cys or Ser), negatively charged (Glu) or polar (Tyr) amino acids virtually abolished both the activities. Analysis of transfructosylation products indicated that the mutants synthesized different oligosaccharides, suggesting that amino acid substitutions of His296 strongly affected both the enzyme activity and transfructosylation products.
Źródło:: Acta Biochimica Polonica; 2008, 55, 1; 201-206
0001-527X
Pojawia się w:: Acta Biochimica Polonica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Enhancement of the Stabilities and Intracellular Antioxidant Activities of Lavender Essential Oil by Metal-Organic Frameworks Based on β-Cyclodextrin and Potassium Cation
Autorzy:: Wang, Ying
Wang, Liang
Tan, Jin
Li, Rong
Jiang, Zi-Tao
Tang, Shu-Hua
Powiązania:: https://bibliotekanauki.pl/articles/1363277.pdf
Data publikacji:: 2021
Wydawca:: Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
Tematy:: microcapsulation
thermal stability
pH stability
cell viability
cellular antioxidant model
application extension
Opis:: Lavender (Lavandula angustifolia) is an important medicinal and aromatic plant. However, the application of lavender essential oil (LEO) is limited by its instability, low solubility and high volatility. Therefore, to improve the stabilities and antioxidant activities of LEO and thereby expand the applications, LEO was microencapsulated by metal-organic frameworks based on β-cyclodextrin and potassium cation (K-βCD-MOFs) with different mass core/wall ratios. The results showed that the best inclusion rate was 96.67% with the ratio of 1:10. Then, the optimum inclusion product was characterized by Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM). The thermal and pH stabilities and the intracellular antioxidant activities were also studied. The results showed that the stabilities of the oil with K-βCD-MOFs inclusions and their abilities to resist acid and alkali were significantly stronger than those of LEO itself. In addition, the intracellular antioxidant activities of LEO were also enhanced by the K-βCD-MOFs inclusion. These results suggested the potential of K-βCD-MOFs as carriers for essential oils in food industry applications.
Źródło:: Polish Journal of Food and Nutrition Sciences; 2021, 71, 1; 39-50
1230-0322
2083-6007
Pojawia się w:: Polish Journal of Food and Nutrition Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Towards effective music therapy for mental health care using machine learning tools : human affective reasoning and music genres
Autorzy:: Rahman, Jessica Sharmin
Gedeon, Tom
Caldwell, Sabrina
Jones, Richard
Jin, Zi
Powiązania:: https://bibliotekanauki.pl/articles/2031150.pdf
Data publikacji:: 2021
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: psychological signal
music genres’ classification
music therapy
Opis:: Music has the ability to evoke different emotions in people, which is reflected in their physiological signals. Advances in affective computing have introduced computational methods to analyse these signals and understand the relationship between music and emotion in greater detail. We analyse Electrodermal Activity (EDA), Blood Volume Pulse (BVP), Skin Temperature (ST) and Pupil Dilation (PD) collected from 24 participants while they listen to 12 pieces from 3 different genres of music. A set of 34 features were extracted from each signal and 6 different feature selection methods were applied to identify useful features. Empirical analysis shows that a neural network (NN) with a set of features extracted from the physiological signals can achieve 99.2% accuracy in differentiating among the 3 music genres. The model also reaches 98.5% accuracy in classification based on participants’ subjective rating of emotion. The paper also identifies some useful features to improve accuracy of the classification models. Furthermore, we introduce a new technique called ’Gingerbread Animation’ to visualise the physiological signals we record as a video, and to make these signals more comprehensible to the human eye, and also appropriate for computer vision techniques such as Convolutional Neural Networks (CNNs). Our results overall provide a strong motivation to investigate the relationship between physiological signals and music, which can lead to improvements in music therapy for mental health care and musicogenic epilepsy reduction (our long term goal).
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 1; 5-20
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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