scholarly journals Pengaruh Metode Isolasi Terhadap Komposisi Proksimat, Sifat Pasting dan Morfologi Pati Sekoi (Setaria italica (L)P. Bauv) Varietas Lokal Bengkulu

2021 ◽  
Vol 5 (2) ◽  
pp. 114-123
Author(s):  
Fitri Electrika Dewi Surawan ◽  
Eni Harmayani ◽  
Nurliyani Nurliyani ◽  
Djagal Wiseso Marseno
Keyword(s):  

Beberapa penelitian mengenai  pati sekoi telah dilakukan, namun belum ada metode yang direkomendasikan untuk isolasi pati sekoi. Dalam penelitian ini, dilakukan  isolasi pati sekoi varietas lokal Bengkulu,    menggunakan  basa NaOH dengan  1x, 2x dan 3x siklus,  menggunakan  hexan-NaOH, dan dibandingkan dengan isolasi menggunakan aquadest. Tujuan penelitian adalah untuk menentukan metode isolasi pati sekoi yang menghasilkan  pati dengan kemurnian tinggi,  mempelajari sifat fisikokimia dan morfologinya. Penelitian ini dilakukan menggunakan rancangan acak lengkap dengan metode isolasi sebagi faktornya.  Hail penelitian menunjukkan bahwa metode isolasi pati sekoi dengan NaOH 0,3%  3  siklus, menghasilkan pati sekoi dengan  kadar pati dan  amilosa tertinggi, yakni 83,15%, dan 19,87%. Kadar air, kadar abu, kadar protein, kadar lemak dan kadar serat kasar pati sekoi tersebut berturut-turut adalah 8,48%, 0,47%, 4,60%, 0,09%  dan 0,22%. Suhu gelatinisasi, peak time, viskositas, dan  nilai break down viscosity berturut-turut adalah 78 oC, 7,6 menit,  4228 cp, dan  2738 cp. Pati ini memiliki kecerahan  (L*) paling tinggi  dan  bentuk granula pati polygone.

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 2216-PUB
Author(s):  
THERESA HERBRAND ◽  
HANS VEIT COESTER ◽  
J. HANS DEVRIES ◽  
CHRISTIAN HEISS ◽  
TIM HEISE ◽  
...  

Author(s):  
J.M.J. de Wet ◽  
L.L. Oestry-Stidd ◽  
J.I. Cubero
Keyword(s):  

2013 ◽  
Vol 38 (5) ◽  
pp. 800-807
Author(s):  
Hui ZHI ◽  
Zhen-Gang NIU ◽  
Guan-Qing JIA ◽  
Yang CHAI ◽  
Wei LI ◽  
...  

1940 ◽  
Vol 32 (6) ◽  
pp. 426-438 ◽  
Author(s):  
H. W. Li ◽  
J. C. Meng ◽  
C. H. Li

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Da Un Jeong ◽  
Ki Moo Lim

AbstractThe pulse arrival time (PAT), the difference between the R-peak time of electrocardiogram (ECG) signal and the systolic peak of photoplethysmography (PPG) signal, is an indicator that enables noninvasive and continuous blood pressure estimation. However, it is difficult to accurately measure PAT from ECG and PPG signals because they have inconsistent shapes owing to patient-specific physical characteristics, pathological conditions, and movements. Accordingly, complex preprocessing is required to estimate blood pressure based on PAT. In this paper, as an alternative solution, we propose a noninvasive continuous algorithm using the difference between ECG and PPG as a new feature that can include PAT information. The proposed algorithm is a deep CNN–LSTM-based multitasking machine learning model that outputs simultaneous prediction results of systolic (SBP) and diastolic blood pressures (DBP). We used a total of 48 patients on the PhysioNet website by splitting them into 38 patients for training and 10 patients for testing. The prediction accuracies of SBP and DBP were 0.0 ± 1.6 mmHg and 0.2 ± 1.3 mmHg, respectively. Even though the proposed model was assessed with only 10 patients, this result was satisfied with three guidelines, which are the BHS, AAMI, and IEEE standards for blood pressure measurement devices.


2021 ◽  
Vol 11 (7) ◽  
pp. 3151
Author(s):  
Maria Iji Adakole ◽  
Akama Friday Ogori ◽  
Julius Kwagh-Hal Ikya ◽  
Vincent Upev ◽  
Giacomo Sardo ◽  
...  

A fermented millet flour called “Ibyer” traditionally available in Nigeria is increasingly being enhanced with ginger powder, of which its quality characteristics to our best knowledge appears not yet reported. To supplement existing information, therefore, the microbiological (which involved bacteria and fungi counts), pasting (which involved peak viscosity, trough, breakdown, final viscosity, set back, peak time, and pasting temperature), proximate (which involved moisture, ash, crude fat, fiber, protein, as well as carbohydrates), and sensory (which involved appearance, aroma, mouth-feel, consistency, taste, and overall acceptability) properties of fermented millet “ibyer” beverage enhanced with ginger powder were investigated. The major experimental stages included assembly of millet flour and ginger powder, preparation of blend formulation, making of “ibyer” beverage blends, and laboratory analysis. The blend involved fermented millet flour (FMF) decreasing, and ginger powder (GP) increasing, by proportions. Results showed noticeable microbiological, pasting, proximate, and sensory differences between blend samples and control. Compared to control, the blend samples obtained reduced bacterial and fungal counts, with increased peak, trough, final, set back viscosities, peak time, and pasting temperature, as well as moisture, ash, crude fat, crude fiber, and crude protein contents, but yet, with decreased sensory appearance, aroma, mouthfeel, taste, and overall acceptability.


2021 ◽  
Vol 13 (12) ◽  
pp. 6777
Author(s):  
Masanobu Kii ◽  
Yuki Goda ◽  
Varameth Vichiensan ◽  
Hiroyuki Miyazaki ◽  
Rolf Moeckel

Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.


Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1726
Author(s):  
Norberto Martinez ◽  
Alejandra Tabares ◽  
John F. Franco

Battery systems bring technical and economic advantages to electrical distribution systems (EDSs), as they conveniently store the surplus of cheap renewable generation for use at a more convenient time and contribute to peak shaving. Due to the high cost of batteries, technical and economic studies are needed to evaluate their correct allocation within the EDS. To contribute to this analysis, this paper proposes a stochastic mathematical model for the optimal battery allocation (OBA), which can be guided by the optimization of two different economic metrics: net present value (NPV) and internal rate of return (IRR). The effects of the OBA in the EDS are evaluated considering the stochastic variation of photovoltaic generation and load. Tests with the 33-node IEEE test system indicate that OBA results in voltage profile improvement (~1% at peak time), peak reduction (31.17%), increased photovoltaic hosting capacity (18.8%), and cost reduction (3.06%). Furthermore, it was found that the IRR metric leads to a different solution compared to the traditional NPV optimization due to its inherent consideration of the relation between cash flow and investment. Thus, both NPV and IRR-based allocation alternatives can be used by the decision maker to improve economic and technical operation of the EDS.


Author(s):  
Zixiang Cheng ◽  
Yao Sun ◽  
Suhua Yang ◽  
Hui Zhi ◽  
Tao Yin ◽  
...  

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