Alterations of aroma properties and aroma-related attributes of sugarcane juice during thermal processing under different temperatures (90, 100, and 110 ℃) and treating time (10 s, 20 s, and 30 s) were assessed in this study. Changes in the volatility of aroma compounds were extremely complicated and respected to thermal processing conditions. Fructose, serine, and glutanic acid of sugarcane juice were increased at first and decreased at the end of treatment at high temperature. Phenolic compounds and PPO activity presented the decrease trends throughout the thermal treatment. The thermal processing of sugarcane juice could be roughly divided into three stages based on the cluster analysis of all the data in this study. Sugars, amino acids, and phenolic compounds might be important potential precursors of aroma deteriorating reactions. The comprehensive analysis of aroma relevant compounds and enzyme activities was beneficial for the investigation of degradation mechanism of aroma for sugarcane juice, and providing a theoretical basis for optimization of juice processing. PRACTICAL APPLICATION: This study demonstrated the changing process of aroma quality and associated compounds in sugarcane juice during thermal processing. This could help to find out the reasons of aroma degradations in sugarcane juice and other thermal sensitive juice. Our manuscript created a paradigm for future studies on the aroma quality control and parameter optimization during the processing of fruit and vegetable juice.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/1750-3841.15108 | DOI Listing |
BMC Plant Biol
December 2024
Department of Biotechnology, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India.
Background: Drought is one of main critical factors that limits sugarcane productivity and juice quality in tropical regions. The unprecedented changes in climate such as monsoon failure, increase in temperature and other factors warrant the need for development of stress tolerant cultivars to sustain sugar production. Plant Nuclear factor (NF-Y) is one of the major classes of transcription factors that have a major role in plant development and abiotic stress response.
View Article and Find Full Text PDFToxicol Res (Camb)
December 2024
Department of Bioinformatics, Bharathidasan University, Palkalaiperur, Tiruchirappalli 620024, Tamil Nadu, India.
Kombucha is fermented and produced with a biofilm called a symbiotic culture of bacteria and yeast, which is drunk all over the world for its beneficial effects on human health and energy levels. The metagenomic study of kombucha frequently detected microorganisms in proteobacteria, firmicutes, and actinobacteria. And also, yeast and fungi are Ascomycota and Basidiomycota is present in green leaf and sugarcane juice fermented kombucha.
View Article and Find Full Text PDFPLoS One
November 2024
Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Sugarcane has been grown all around the world to meet sugar demands for industrial sector. The current sugar recovery percentage in sugarcane cultivars is dismally low which demands scientific efforts for improvements. Multiple approaches were adopted to enhance sugar contents in commercial sugarcane plants in contrast to conventional plant breeding methods.
View Article and Find Full Text PDFMicron
January 2025
Louisiana State University Agricultural Center, Sugar Research Station, 5755 LSU Ag Rd, St Gabriel, LA 70776, United States.
A recent series of extreme weather events in Southern U.S. (2022 winter freeze followed by 2023 summer drought) calls for quantitative markers to expedite the release of climate resilient sugarcane varieties.
View Article and Find Full Text PDFJ Food Sci Technol
November 2024
Food Engineering Lab, Department of Food Engineering, National Institute of Food Technology Entrepreneurship and Management, Kundli, Sonipat, Haryana 131 028 India.
Unlabelled: This investigation employed different ANN infrastructures for predicting the quality of sugarcane juice under varying microfluidization pressures (50-200 MPa) and cycles (1-7) which was previously unexplored. Two hidden layer (HL) activation functions (tansigmoid, logsigmoid) and learning algorithms (LM, GDX) with varying hidden layer neurons (HLNs) were tested to predict the color, total phenol content, total flavonoid content, chlorophyll content, total and reducing sugars, polyphenol oxidase activity, peroxidase activity, sucrose neutral invertase activity, aerobic plate count, yeast and mold count, particle size, sensory score and sedimentation rate of sugarcane juice under different microfluidization processing conditions. Results showed that the combination of LM + logsigmoid, GDX + logsigmoid and GDX + tansigmoid produced > 90% prediction accuracy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!