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| 008 | 180911s2016 th uu m rtt 0| a1eng d | ||
| 035 | _a.b12206416 | ||
| 099 | 9 | _aAIT Thesis no.FB-16-02 | |
| 100 | 0 | _aPisuth Suvannasankha | |
| 245 | 1 | 0 | _aEffects of freezing rates and handling methods on the quality of nile tilapia (Oreochromis niloticus) fillets with traceability in the status of tilapia supply chain in Thailand |
| 260 |
_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2016 |
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| 300 |
_a71 leaves : _bill. + _e1 online resource |
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| 490 | 1 |
_aThesis ; _vno.FB-16-02 |
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| 500 | _a A thesis submitted in partial fulfillment o f the requirements for the degree of Master of Science in Food Engineering and Bioprocess Technology, School of Environment, Resources and Development | ||
| 502 | _aThesis (M. Sc.) - Asian Institute of Technology, 2016 | ||
| 520 | _a Nile tilapia is one of the important specie for consuming and exporting in Thailand. The study of Nile tilapia supply cha in in Thailand was determined with the handling techniques that can affect quality of Nile tilapia. There were two handling methods; oxygen supply and ice covering. The effects of both techniques to quality of Nile tilapia fillets were examined within insp ected time for 1, 2 and 4 hours . They were no correlation between handling techniques on physical, chemical, microbial growth, but the trends in texture profile analysis, lightness and sensory score affected. In addition, fluctuation temperature cycle on storage had effects on quality of tilapia meat. Drip loss was fluctuated, and imped ance decreased exactly at 100 kHz . Tilapia meat seemed to be softer with time as seen in texture profile analysis, firmness and cutting strength. Chemical parameters as TVB - N and pH rose in abu- sive group significantly, and quality index method and 9 point Hedonic scale can be used to determine freshness of tilapia when temperature fluctuation occurred. Moreover, freezing rates from 26.37, 28.91, and 33.97 ° C /h had some charac teristic with Nile tilapia quality. Freezing loss, drip loss and cooking loss was lower when the rates were high. Physical and chemical parameters were not changed with the freezing rates, but number of total viable bacteria reduced in each condition signi ficantly. Sensory score determined quality of the frozen fillets, and it was the highest in the fastest freezing rate. Lastly, implementation of temperature traceability within storage or processing can be achieve d by using wireless sen- sor networking for m onitoring temperature and humidity in storage condition. | ||
| 650 | 0 |
_aTilapia _zThailand |
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| 650 | 0 |
_aFrozen fish _zThailand |
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| 700 | 0 |
_aAthapol Noomhorm, _eChairperson |
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| 700 | 1 |
_aAnal, Anil Kumar, _eExamination Committee |
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| 700 | 1 |
_aNguyen, Loc Thai, _eExamination committee |
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| 710 | 2 |
_aRoyal Thai Government Fellowship, _eScholarship donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. no.FB-16-02 |
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| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B02851 |
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_a000:001:PDF:b1220641:003847:0:0:0:0:0:0 _tClick to view Abstract _vn |
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