Teerasak Punvichai

Prof. Teerasak Punvichai

Lecturer-Faculty of Innovative Agriculture and Fisheries Establishment Project

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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27 January 2021 in Molecules
Verified
Journal Article
Open access
PDF file
Amandine RoussetAmandine Rousset
Amandine Rousset
AAAli Amor
Ali Amor
TPTeerasak Punvichai
Teerasak Punvichai
SPSandrine Perino
Sandrine Perino
SPSerge Palu
Serge Palu
Farid ChematFarid Chemat
Farid Chemat
Natural rubber is an essential material, especially for plane and truck tyres but also for medical gloves. Asia ranks first in the production of natural rubber, of which the Hevea tree is currently the sole source. However, it is anticipated that this source alone will not be able to fulfill the growing demand. Guayule, a shrub native to northern Mexico and southern United States, may also contribute. This plant not only contains polyisoprene, but also resin, a mixture of lipids and terpenoids. This review summarizes various aspects of this plant, from the usage history, botanical description, geographical distribution and cultivation practices, down to polyisoprene and resin biosynthesis including their distribution within the plant and molecular composition. Finally, the main processes yielding dry rubber or latex are depicted, as well as the properties of the various extracts along with economic considerations. The aim is to provide a wide picture of current knowledge available about this promising crop, a good feedstock candidate for a multiple-product biorefinery.

18 September 2023 in International Journal of Food Science and Technology
Verified
Journal Article
Closed access
TPTeerasak Punvichai
Teerasak Punvichai
TWTharawee Wachiratreeyakul
Tharawee Wachiratreeyakul
ACAnawin Chanasriphum
Anawin Chanasriphum
SKSirusa Kritsanapuntu
Sirusa Kritsanapuntu
CCChatchawan Chotimarkorn
Chatchawan Chotimarkorn
PDPreeyabhorn Detarun
Preeyabhorn Detarun

26 May 2024 in Food Chemistry Advances
Verified
Journal Article
Open access
TPTeerasak Punvichai
Teerasak Punvichai
JPJantarat Pipakdee
Jantarat Pipakdee
HCHattipong Chaitham
Hattipong Chaitham
SKSirusa Kritsanapuntu
Sirusa Kritsanapuntu
CCChatchawan Chotimarkorn
Chatchawan Chotimarkorn
PDPreeyabhorn Detarun
Preeyabhorn Detarun

21 January 2019 in Journal of the American Oil Chemists' Society
Verified
Journal Article
Closed access
PDF file
TPTeerasak Punvichai
Teerasak Punvichai
DPDaniel Pioch
Daniel Pioch

3 March 2024 in International Journal of Food Science and Technology
Verified
Journal Article
Closed access
TPTeerasak Punvichai
Teerasak Punvichai
TWTharawee Wachiratreeyakul
Tharawee Wachiratreeyakul
JPJantarat Pipakdee
Jantarat Pipakdee
WKWandee Kaewsatorn
Wandee Kaewsatorn
SKSirusa Kritsanapuntu
Sirusa Kritsanapuntu
PDPreeyabhorn Detarun
Preeyabhorn Detarun

18 August 2021 in Journal of Aquatic Food Product Technology
Verified
Journal Article
Closed access
SJSaysunee Jumrat
Saysunee Jumrat
TPTeerasak Punvichai
Teerasak Punvichai
SKSeppo Karrila
Seppo Karrila
MNMudtorlep Nisoa
Mudtorlep Nisoa
YPYutthapong Pianroj
Yutthapong Pianroj
A microwave (MW) drying system was built for drying skipjack tuna. It was composed of waveguide and cavity, and a modification to the high-voltage power supply using a power electronic device to control the phase of AC input voltage to a high-voltage transformer. The calibration of the MW power enables tuning the power to be used for drying skipjack tuna. The experimental set-up was studied drying kinetics: time profiles of temperature and moisture content (%MC). The temperature was measured using a thermopile thermometer, which was connected to the microcontroller and the PC via an RS232 port. The %MC was monitored gravimetrically. The experimental results and the simulation results from finite element method computations were compared by assessing the coefficient of determination (R2) and the root-mean-square-error (RMSE). Finally, empirical and semi-theoretical models were fit to the experimental results of moisture ratio and evaluated for best fit using R2 and RMSE.