| Author | Kunchalee Luechapattanaporn |
| Call Number | AIT Thesis no.PH-01-3 |
| Subject(s) | Cereals, Prepared--Evaluation
|
| Note | A thesis submitted in the partial fulfillment of the requirements
for the degree of Master of Science, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Abstract | Crispness is an important attribute of breakfast cereals product quality. Crispness of
breakfast cereals is dependent on the moisture content of the products. Three brands of
breakfast cereals, i.e. Kellogg's com flake, Honey Stars and Koko Krunch were evaluated
their crispness using acoustic testing and mechanical testing. The sound was produced by
crnshing the samples with the spring loaded pliers. The original amplitude-time curves
were converted to the power spectrum of frequencies by using Fast Fourier Transform
(FFT). The different moisture content samples gave the different sound signals in both time
domain and frequency domain. The greatest moisture content gave the smallest amplitude,
the least number of peak sound signal and the shortest signal duration. Mechanical testing
was done in bulk compression. The breaking force is increased when the crispness
decreased or the moisture content increased. Backpropagation neural networks was used to
predict moisture content using sound signal amplitude at fixed frequencies as inputs. The
high coefficient of determination was performed for Honey Stars and Koko Krunch. Both
backpropagation neural networks and probabilistic neural networks were applied to
classify three crispness grades. The performance of probabilistic neural networks was
better. The overall accuracy were 81, 93 and 100 percent for Kellogg's corn flake, Honey
Stars and Koko Krunch respectively. The results of this study showed that acoustic wave
analysis can be used as an alternative to evaluate the crispness of breakfast cereal products. |
| Year | 2001 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Food, Agriculture and Natural Resources (Former title: Department of Food Agriculture, and BioResources (DFAB)) |
| Academic Program/FoS | Postharvest and Food Process Engineering (PH) |
| Chairperson(s) | Jindal, Vinod K. |
| Examination Committee(s) | Athapol Noornhorm ;Rakshit, Sudip K.
|
| Scholarship Donor(s) | H.M. Queen's scholarship |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2001 |
