Dataset Information

Optimizing operational parameters of finger millet threshing drum using RSM.

ABSTRACT: The operational parameters of threshing drum play a dominant role in the design and development of the finger millet thresher-cum-pearler. The finger millet threshing drum was developed and effects of operational parameters such as feed rate, drum speed and concave clearance on threshing efficiency, pearling efficiency and grain damage were individually studied using response surface method. A statistical tool of the central composite rotatable design was used for analysis. It was found that the maximum threshing efficiency, maximum pearling efficiency and minimum grain damage were 98%, 85% and 0.086%, respectively at the feed rate 36 kg/h, drum peripheral speed 7.12 m/s and concave clearance 5 mm. The performance evaluation of the drum was validated by setting above condition in the threshing drum. It was found that the maximum threshing efficiency 99% against predicted 98%, maximum pearling efficiency 86% against predicted 85% and 0.1% grain damage was found against predicted 0.086%.

SUBMITTER: Powar RV

PROVIDER: S-EPMC6582128 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Optimizing operational parameters of finger millet threshing drum using RSM.

Powar R V RV Aware V V VV Shahare P U PU

Journal of food science and technology 20190610 7

The operational parameters of threshing drum play a dominant role in the design and development of the finger millet thresher-cum-pearler. The finger millet threshing drum was developed and effects of operational parameters such as feed rate, drum speed and concave clearance on threshing efficiency, pearling efficiency and grain damage were individually studied using response surface method. A statistical tool of the central composite rotatable design was used for analysis. It was found that the ...[more]

PMID: 31274916

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Project description:Background2,5-Furandicarboxylic acid (FDCA) is a precursor for green plastics due to its structural similarity to terephthalic acid, a common precursor of oil-derived polymers, and its potential production from sugars obtained from plant biomass. Hydroxymethylfurfural oxidase (HMFO) has been reported as a promising biocatalyst for FDCA production since it can convert bio-based 5-hydroxymethylfurfural (HMF) into FDCA building block. This three-step oxidation reaction occurs through the diformylfuran and 2,5-formylfurancarboxylic acid (FFCA) intermediates. Several efforts have been made for the development of HMFO variants that increase FDCA yields by improving their activities over the reaction intermediates. However, there is still limited insight into how operational conditions can influence these enzymatic reactions. The setup of optimal reaction conditions would enable to understand potential problems hampering the effective industrial production of this bioplastic precursor using HMFO as biocatalyst.ResultsIn this work, several parameters affecting the performance of Methylovorus sp HMFO oxidizing HMF have been analyzed for the wild-type enzyme, and its V367R and W466F single variants, V367R/W466F double variant, and I73V/H74Y/G356H/V367R/T414K/A419Y/A435E/W466F (8BxHMFO) octuple variant. Our results show how the oxidation of HMF by HMFO enzymes is highly influenced by pH, with different optimal pH values for the different improved variants. Moreover, the enzymes are not stable at high hydrogen peroxide concentrations and their activity is inhibited by the FFCA intermediate in a pH-dependent way. These limitations can be efficiently overcome with the addition of catalase to the reaction medium, which removes the hydrogen peroxide formed during the oxidations, and the controlled dosage of the substrate to limit the amount of FFCA accumulated in the reaction. The different behavior of wild-type HMFO and its variants against pH, hydrogen peroxide and FFCA highlights the importance of considering each variant as an individual enzyme with its own operational conditions for an eventual industrial FDCA production.ConclusionsThis work provides information of those parameters that condition a high production of FDCA by HMFO. Unraveling these factors allowed to increase the FDCA yields by using the most stable enzymes at their optimal pH for HMF oxidation, removing the peroxide with catalase, and avoiding FFCA accumulation by controlling substrate and/or enzyme concentration. These above findings will be useful when planning a future scale-up of these conversions and will provide new viewpoints for the design of HMFO variants that render a more effective performance during HMF conversion into FDCA.

Project description:Finger millet is an important cereal crop in eastern Africa and southern India with excellent grain storage quality and unique ability to thrive in extreme environmental conditions. Since negligible attention has been paid to improving this crop to date, the current study used Next Generation Sequencing (NGS) technologies to develop both Simple Sequence Repeat (SSR) and Single Nucleotide Polymorphism (SNP) markers. Genomic DNA from cultivated finger millet genotypes KNE755 and KNE796 was sequenced using both Roche 454 and Illumina technologies. Non-organelle sequencing reads were assembled into 207 Mbp representing approximately 13% of the finger millet genome. We identified 10,327 SSRs and 23,285 non-homeologous SNPs and tested 101 of each for polymorphism across a diverse set of wild and cultivated finger millet germplasm. For the 49 polymorphic SSRs, the mean polymorphism information content (PIC) was 0.42, ranging from 0.16 to 0.77. We also validated 92 SNP markers, 80 of which were polymorphic with a mean PIC of 0.29 across 30 wild and 59 cultivated accessions. Seventy-six of the 80 SNPs were polymorphic across 30 wild germplasm with a mean PIC of 0.30 while only 22 of the SNP markers showed polymorphism among the 59 cultivated accessions with an average PIC value of 0.15. Genetic diversity analysis using the polymorphic SNP markers revealed two major clusters; one of wild and another of cultivated accessions. Detailed STRUCTURE analysis confirmed this grouping pattern and further revealed 2 sub-populations within wild E. coracana subsp. africana. Both STRUCTURE and genetic diversity analysis assisted with the correct identification of the new germplasm collections. These polymorphic SSR and SNP markers are a significant addition to the existing 82 published SSRs, especially with regard to the previously reported low polymorphism levels in finger millet. Our results also reveal an unexploited finger millet genetic resource that can be included in the regional breeding programs in order to efficiently optimize productivity.

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Optimizing operational parameters of finger millet threshing drum using RSM.

Publications

Optimizing operational parameters of finger millet threshing drum using RSM.

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