scholarly journals Description of Seedless Grape Drying and Determination of Drying Rate

2014 ◽  
Vol 2 (2) ◽  
pp. 1
Author(s):  
Wilton Pereira Da Silva ◽  
Pedro Luiz Do Nascimento ◽  
Ihsan Hamawand ◽  
Cleide Maria Diniz Pereira Da Silva e Silva ◽  
Josivanda Palmeira Gomes ◽  
...  
Keyword(s):  
Low Temperature ◽  
Moisture Content ◽  
Empirical Models ◽  
Drying Rate ◽  
Chi Square ◽  
Seedless Grape ◽  
Comparison Of The Results ◽  
Two Parameters ◽  
Statistical Indicators

This article compares some empirical models, with one or two parameters, used to describe seedless grape drying at low temperature. Chosen models have, as a common characteristic, an analytical expression for the derivative of dimensionless moisture content with respect to time. Comparison of the results for the simulations of drying kinetics indicates that, despite Page and Silva et alli models well represent the process, the best model is Peleg. For this model, the statistical indicators of the simulation can be considered excellent (the determination coefficient is R2 = 0.99944 and the chi-square is χ2 = 1.2335 x 10-3).

scholarly journals Modeling of drying rate of non-hygroscopic products: Application to the pozzolana drying

2018 ◽  
Vol 22 (2) ◽  
pp. 1037-1048
Author(s):  
Yves Randriamilantoniaina ◽  
Marcelin Andrianantenaina ◽  
Bertin Ramamonjisoa ◽  
Zely Randriamanantany ◽  
Belkacem Zeghmati
Keyword(s):  
Moisture Content ◽  
Statistical Significance ◽  
Temporal Variations ◽  
Exponential Model ◽  
Least Square ◽  
Integration Scheme ◽  
Model Parameters ◽  
Drying Rate ◽  
Quality Model ◽  
Chi Square

Polynomial model adopted for the moisture content influence to the drying rate of non-hygroscopic products like the pozzolana presented some limits. This model was not universal and has diverged whether moisture content different to the appropriate experiment values has been used. Thus, a new exponential model based on the inverse of moisture content and respecting to the imposed boundary conditions has been proposed. Model parameters were determined using the least square approximation method of Newton-Marquart. The predicted temporal variations of moisture content were provided from the Runge-Kutta fourth order integration scheme computed on the new model of drying rate. Moreover, two-way ANOVA method was performed on data analysis, at the parameters statistical significance and in residual analysis for the model fit quality. Model validations were done by comparisons among theoretical and experimental values and between predicted and polynomial models. Comparisons showed a good agreement with highest R2 and lowest reduced chi-square, MBE, RMSE, and MAPE.

scholarly journals Unjuk Kerja Pengering Tenaga Surya Tipe Efek Rumah Kaca Untuk Pengeringan Cabai Dengan Perlakuan Low Temperature Long Time Blanching

2020 ◽  
Vol 13 (2) ◽  
pp. 42-58
Author(s):  
Andi Muhammad Irfan ◽  
Arimansyah Arimansyah ◽  
A. Ramli Rasyid ◽  
Nunik Lestari
Keyword(s):  
Low Temperature ◽  
Moisture Content ◽  
Greenhouse Effect ◽  
The Other ◽  
Final Moisture Content ◽  
Drying Rate ◽  
Drying Time ◽  
Solar Dryer ◽  
Long Time ◽  
Drying Efficiency

Abstrak. Penelitian ini bertujuan untuk menguji unjuk kerja pengering tenaga surya tipe efek rumah kaca pada pengeringan cabai dengan perlakuan low temperature long time (LTLT) blanching. Selain itu, pada penelitian ini juga dilakukan kajian mengenai karakteristik pengeringan cabai yang dipengaruhi oleh perlakuan LTLT blanching, terutama pada kadar air, laju pengeringan, kecepatan pengeringan, dan kualitas warna. Pengujian dilakukan dengan cara mengeringkan cabai merah dengan pretreatment LTLT blanching yang dikombinasikan dengan perlakuan merotasikan rak pengering (R) dan tanpa merotasikan rak pengering (TR). Sebagai kontrol adalah cabai yang dikeringkan tanpa blanching dan tanpa merotasikan rak pengering (K). Hasil penelitian menunjukkan bahwa perlakuan LTLT blanching yang dikombinasikan dengan merotasikan rak pengering (R) merupakan perlakuan yang terbaik, dengan kadar air akhir cabai kering sebesar 9,82% dan sesuai dengan standar SNI. Waktu pengeringan yang dibutuhkan adalah selama 5 hari. Warna cabai kering yang dihasilkan adalah yang terbaik dari dua perlakuan lainnya, dengan nilai L*, a*, dan b* untuk setelah proses LTLT blanching (sebelum proses pengeringan) dan setelah pengeringan berakhir (cabai kering) berturut-turut adalah 36,02, 38,22, 13,62, dan 32,44, 33,89, dan 10,19. Energi yang terpakai untuk pengeringan cabai adalah sebesar 596181 kJ. Perlakuan R ini juga menghasilkan efisiensi pengeringan terbaik, yaitu sebesar 34,01%.Performance of Green House Effect Type Solar Dryer in the Chillies Drying with Low Temperature Long Time Blanching TreatmentAbstract. This study aims to examine the performance of the greenhouse effect type solar dryer on drying chillies with low temperature long time (LTLT) blanching treatment. In addition, a study was also conducted on the characteristics of drying chillies and the final product affected by LTLT blanching treatment, especially in terms of moisture content, drying rate, drying speed, and color. Testing was performed by drying red chilli with LTLT blanching treatment, which was combined with the treatment of rotating dryer rack (R) and without rotating dryer rack (TR). As a control, chillies were dried without blanching treatment and without rotating dryer rack (K). The results show that the LTLT blanching treatment combined with rotating the drying rack (R) is the best treatment, with a final moisture content of 9.82% which is in accordance with SNI standards. The drying time needed is 5 days. The dried chilli color produced is the best of the other treatments, with values of L*, a*, and b* for after the LTLT blanching process and after drying ended, respectively 36.02, 38.22, 13.62, and 32.44, 33.89, 10.19. The energy used for drying chillies is 596181 kJ. This R treatment also produces the best drying efficiency, which is 34.01%.

scholarly journals EFEK PERLAKUAN LOW TEMPERATURE LONG TIME BLANCHING TERHADAP KARAKTERISTIK CABAI KERING

Agrika ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 140
Author(s):  
Nunik Lestari ◽  
Ratnawaty Fadilah ◽  
Andi Muhammad Akram Mukhlis ◽  
Samsuar Samsuar
Keyword(s):  
Low Temperature ◽  
Vitamin C ◽  
Moisture Content ◽  
Drying Rate ◽  
Drying Process ◽  
Direct Sunlight ◽  
Drying Characteristics ◽  
Long Time ◽  
Positive Effect

ABSTRAKProses pretreatment sebelum cabai dikeringkan berperan penting untuk menghasilkan cabai kering dengan kualitas lebih baik. Penelitian ini bertujuan untuk melihat efek pretreatment LTLT blanching sebelum proses pengeringan terhadap karakteristik pengeringan dan kualitas cabai kering. Penelitian dilaksanakan dengan 12 perlakuan, yaitu pengeringan dengan pretreatment LTLT blanching pada suhu 60, 70, dan 80 oC masing-masing selama 10, 15, dan 20 menit, lalu pengeringan dengan pretreatment HTST blanching pada suhu 100 oC selama 10 detik, pengeringan tanpa pretreatment blanching di dalam alat pengering ERK, serta pengeringan tanpa pretreatment blanching di bawah sinar matahari secara langsung. Hasil penelitian menunjukkan pengaruh positif pretreatment LTLT blanching dapat mempercepat laju pengeringan, menghasilkan cabai kering dengan kadar air rendah sesuai standar SNI, menghasilkan warna cabai kering yang menarik, serta memiliki kandungan vitamin C lebih tinggi dibanding cabai kering tanpa pretreatment blanching. Secara keseluruhan, perlakuan pretreatment LTLT blanching pada suhu 80 oC selama 20 menit adalah perlakuan terbaik dari penelitian ini dengan kadar air akhir 8.17%, laju pengeringan yang tercepat, kandungan vitamin C sebesar 0.96%, dan warna yang menarik. ABSTRACTThe pretreatment before drying chilies plays an important role to produce better quality of dried chilies. This study aims to determine the pretreatment effect of LTLT blanching before the drying process on the drying characteristics and quality of dried chilies. This research was carried out with 12 treatments, namely drying with LTLT blanching pretreatment at 60, 70, and 80 oC for 10, 15, and 20 minutes respectively, then drying with HTST blanching pretreatment at 100 oC for 10 seconds, drying without pretreatment blanching in the ERK dryer, and drying without pretreatment blanching in direct sunlight. The results show the positive effect of LTLT blanching pretreatment which can accelerate the drying rate, produce dry chilies with low water content according to SNI standards, produce an attractive dried chilies color, and have a higher vitamin C than dried chilies without blanching pretreatment. Overall, pretreatment with LTLT blanching at 80 oC for 20 minutes is the best treatment in this study with a final moisture content of 8.17%, the fastest drying rate, a vitamin C content of 0.96%, and an attractive color. 

CATFISH DRYING (Clarias Batraclus) USING ‘TEKO BERSAYAP’ SOLAR DRYER

2012 ◽  
Vol 2 (1) ◽  
pp. 14-20
Author(s):  
Yuwana Yuwana
Keyword(s):  
Relative Humidity ◽  
Moisture Content ◽  
Ambient Temperature ◽  
Drying Rate ◽  
Drying Process ◽  
Drying Time ◽  
Ambient Relative Humidity ◽  
Solar Dryer

Experiment on catfish drying employing ‘Teko Bersayap’ solar dryer was conducted. The result of the experiment indicated that the dryer was able to increase ambient temperature up to 44% and decrease ambient relative humidity up to 103%. Fish drying process followed equations : KAu = 74,94 e-0,03t for unsplitted fish and KAb = 79,25 e-0,09t for splitted fish, where KAu = moisture content of unsplitted fish (%), KAb = moisture content of splitted fish (%), t = drying time. Drying of unsplitted fish finished in 43.995 hours while drying of split fish completed in 15.29 hours. Splitting the fish increased 2,877 times drying rate.

Prediction of Haemoglobin Level by Some Probability Distribution

2020 ◽  
Vol 9 (1) ◽  
pp. 84-88
Author(s):  
Govinda Prasad Dhungana ◽  
Laxmi Prasad Sapkota
Keyword(s):  
Probability Distribution ◽  
Normal Distribution ◽  
Goodness Of Fit ◽  
Continuous Variable ◽  
Hemoglobin Level ◽  
Chi Square ◽  
Chi Square Test ◽  
Log Normal ◽  
Two Parameters ◽  
Best Fit

 Hemoglobin level is a continuous variable. So, it follows some theoretical probability distribution Normal, Log-normal, Gamma and Weibull distribution having two parameters. There is low variation in observed and expected frequency of Normal distribution in bar diagram. Similarly, calculated value of chi-square test (goodness of fit) is observed which is lower in Normal distribution. Furthermore, plot of PDFof Normal distribution covers larger area of histogram than all of other distribution. Hence Normal distribution is the best fit to predict the hemoglobin level in future.

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