Maysaya Thitisaksakul

Dr. Maysaya Thitisaksakul

Faculty of Science, Khon Kaen University, Khon Kaen, Thailand
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2012 in Journal of Cereal Science
Verified
Journal Article
Closed access
MTMaysaya Thitisaksakul
Maysaya Thitisaksakul
RJRandi C. Jiménez
Randi C. Jiménez
MAMaria C. Arias
Maria C. Arias
Diane BecklesDiane Beckles
Diane Beckles

5 December 2013 in Starch - Stärke
Verified
Journal Article
Closed access
PDF file
Diane BecklesDiane Beckles
Diane Beckles
MTMaysaya Thitisaksakul
Maysaya Thitisaksakul

23 January 2015 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
MTMaysaya Thitisaksakul
Maysaya Thitisaksakul
KTKanitha Tananuwong
Kanitha Tananuwong
CSCharles F. Shoemaker
Charles F. Shoemaker
ACAreum Chun
Areum Chun
OTOrn-U-Ma Tanadul
Orn-U-Ma Tanadul
Diane BecklesDiane Beckles
Diane Beckles

17 June 2021 in Journal of the Science of Food and Agriculture
Verified
Journal Article
Closed access
PDF file
WSWichian Sangwongchai
Wichian Sangwongchai
KKKuakarun Krusong
Kuakarun Krusong
MTMaysaya Thitisaksakul
Maysaya Thitisaksakul

22 January 2023 in Polymers
Verified
Journal Article
Open access
PDF file
WSWichian Sangwongchai
Wichian Sangwongchai
KTKanitha Tananuwong
Kanitha Tananuwong
KKKuakarun Krusong
Kuakarun Krusong
SNSupidcha Natee
Supidcha Natee
MTMaysaya Thitisaksakul
Maysaya Thitisaksakul
Variations in starch pasting properties, considered an alternative potential quality classification parameter for rice starches, are directly controlled by the diverse starch molecular composition and structural features. Here, the starch characteristics of four rice cultivars (i.e., RD57, RD29, KDML105, and RD6) differing in pasting properties were assessed, and their relationship was determined. The results revealed that protein and moisture contents and their crystalline type were similar among the four rice starches. However, their molecular compositions and structures (i.e., reducing sugar and amylose contents, amylopectin branch chain-length distributions, granule size and size distribution, and degree of crystallinity) significantly varied among different genotypes, which resulted in distinct swelling, solubility, gelatinization, retrogradation, and hydrolytic resistance properties. The swelling power and gelatinization enthalpy (∆H) were positively correlated with C-type granule and relative crystallinity, but were negatively correlated with amylose content, B-type granule and median particle size (d(0.5)). Conversely, the water solubility and resistant starch content negatively correlated with C-type granule, but positively correlated with amylose content, B-type granule, and d(0.5). The gelatinization onset temperature (To(g)), and retrogradation concluding temperatures (Tc(r)), enthalpy (∆H(r)), and percentage (R%) were positively impacted by the amount of protein, amylose, and B1 chains (DP 13–24), while they were negatively correlated with short A chains (DP 6–12). Collectively, the starch physicochemical and functional properties of these Thai rice starches are attributed to an interplay between compositional and structural features. These results provide decisive and crucial information on rice cultivars’ suitability for consumption as cooked rice and for specific industrial applications.

1 January 2020 in Computational and Structural Biotechnology Journal
Verified
Journal Article
Open access
KWKwanjeera Wanichthanarak
Kwanjeera Wanichthanarak
CBChuthamas Boonchai
Chuthamas Boonchai
TKThammaporn Kojonna
Thammaporn Kojonna
SCSupachitra Chadchawan
Supachitra Chadchawan
WSWichian Sangwongchai
Wichian Sangwongchai
MTMaysaya Thitisaksakul
Maysaya Thitisaksakul
• Integrative GEMs can reveal the metabolic responses of rice to salinity stress. • Photosynthesis and hexose utilization were downregulated by salinity stress. • Photorespiration was enhanced and could contribute to redox homeostasis under salinity stress. • Flux predictions, metabolite levels and photosynthesis parameters were in good agreement.