Artan, M. Y., Karim, R., Chern, B. H., Ariffin, A. A., Che Man, Y. and Chin, N. L. (2010). The influence of different formulations of palm oil/palm stearin-based shortenings on the quality of white bread. Middle-East Journal of Scientific Research 5(6): 469-476. Beckett, S. T. 1995. Physical- Chemical Aspect of Food Processing Chapman & Hall. London. Bennion, M. and O, Hughes. (1975). Introductory Food 6thed. Macmillan Publishing CO, Inc.New York
Booth ,R. G. (1990). Snack Food. Van Nostrand Reinhold. New York
Bourne, M. C. (1982). Food texture and viscosity. 1st ed. Academic Press, New York.
Bourne, M. C. (2002). Food Texture and Viscosity Concept and Measurement 2nd Edition. Academics Press. New York.
Cauvain, S.P. and L.S.Young. (2006) The Chorleywood Bread Process. Woodhead.Publishing, Cambridge.
Chinachoti, P. (2003) Preventing bread staling. In: Breadmaking: Improving Quality (ed. S.P. Cauvain), pp. 562–74. Woodhead Publishing, Cambridge.
Christian, J.H.B. (1980). Reduced Water Activity. Dalam Silliter, J. H. R. P. Elliot, A.C.B Parker and F.L Bryan Microbiol Ecology of Food. International. Journal of Science and Nutrition. 1: 70-91
Coles, R D MC Dowell and J. Kirwan. (2003). Food Packaging Technology. Blackwell Publishing CRC. Press London.
Dahle LK, EG. Hill, RT Hollman. (1962). The thiobarbituric acid reaction and auto oxidation of
poly unsaturated fatty acid methyl esters. Arch. Biochem. Biophys, 98: 256-261.
Hegenbart, Scott. (1998). Maximizing Convenience with Bakery Mixes.Articles, Bakery, Nuts,
Dairy Ingredients, Topics, Bakery / Cereal. Diunduh 7 agustus 2013
Fance, W. J. (1996). Bread Making and Flour Confectionary. Rout Ledhe and Kegen Paul. London.
Floros, J.D. and V. Gnanasekharan. (1993). Shelf life prediction of packaged foods: chemichal, biological, physical, and nutritional aspects. G. Chlaralambous (Ed.). Elsevier Publ.London.
Gaman, P. M. and K. B. Sherrington. (1994). The Science of Food, An Introduction to Food Science, Nutrition and Microbiology Second Edition (Terjemahan: Ilmu Pangan:Pengantar Ilmu Pangan, Nutrisi, dan Mikrobiologi, diterjemahkan Murdijati Gardjito, Sri Naruki, Agnes Murdiati dan Sardjono). Universitas Gadjah Mada. Yogyakarta.
Jacobs, Morris B., (1951). The Chemistry and Technology of Food and Food Product, vol.2. Interscience Publisher, New York.
Kilcast, D. and P. Subramaniam.(2000). The Stability and Shelf-Life of Food. Woodhead Publishing Limited. England.
Kusnandar, F. (2009). Pendugaan umur simpan produk pangan dengan metode Accelerated Shelf-life testing (ASLT). Food Review. Vol. 4 12: 52-55.
Labuza T.P. (1978) Open Shelf Life Dating of Food. Department of Food Science and Nutrition, University of Minnesota, Report Prepared for The Office of Assement.
Lewicky P. P. (2004). Water as Determinant of Food Engineering Properties a Review Journal of Food Egineering, 61: 483-495.
Matz,S. A. (1992). Bakery, Technology and Egineering, 3rd ed. Van Nostrand Reinhold. Texas.
Meilgaard, M.; G. V. Civille, and B. T. Carr. (1999). Sensory Evaluation Techniques 3rd Edition. CRC Press LLC. USA.
Mercando, V. and B. Canovas. (1996). Dehydration of Foods. International Thompson
Publishing. New York.
Moehyi. (1992). Makanan Instutisi dan Jasa Boga. Penerbit Bhrata. Jakarta.
OHAUS Instrution Manual.(2001). OHAUS Instrution Manual MB45 Moisture Analyzer.
Raharjo, S. (2004). Kerusakan Oksidatif Pada Makanan. Pusat Studi Pangan dan Gizi. Universitas Gajah Mada. Yogyakarta.
Rao, M. AL; J. F Steffe. (1992). Viscoelastic Properties of Foods. Elsevier Applied Science.
New York.
Ray, B. (1996). Fudamental Food Microbiology. CRC Press. New York.
Standar Nasional Indonesia. (1995). Roti. SNI 01-0222-1995.Badan Standardisasi Nasional.
Jakarta. http://sisni.bsn.go.id/index.php?/sni_main/sni/detail_sni/4259. diunduh 7
agustus 2013.
Standar Nasional Indonesia. (2009).Tepung terigu.SNI 3751:2009.Badan Standardisasi Nasional.
Jakarta
Subagio, A.; W. S. Windrawati dan Y. Witono. (2003). Pengaruh Penambahan Isolat Protein Koro Pedang (Canavalia ensiformis L.) terhadap Karakteristik Cake. Jurnal Teknologi dan Industri Pangan. Volume XIV (2):136-143.
Sudarmadji, S., B. Haryono dan Suhardi. (2003). Analisa Bahan Makanan dan Pertanian. Pusat Antar Universitas Gadjah Mada. Liberty. Yogyakarta
Swinkels, J. J. M. (1995). Source of Starch, Its Chemistry and Physics. Di dalam: Beynum V. dan J. A. Roels (eds). Starch Conversion Tehnology. Marcel Dekker Inc., New York, Basel.
Syarief R dan H Halid. (1991). Teknologi Penyimpanan Pangan. Arcan. Jakarta
Taub, A. and Singh, R.P. (1998). Food Storage Stability, CRC Press, Boca Ratón,USA.
Walpole, R.E., R.H. Myers., and S.L.Myers. 1998. Probability and Statistics for Engineers and Scientist. Prentice Hall int inc. New Jersey.
Wang R.; W. Zhou; M. Isabelle. (2006). Comparasion Study of The Effet of Green Tea Extract (GTE) on The Quality by Instrumental Analysis and Sensory Evaluation .Food Research International 40 : 470-479.
Winarno, F.G. (1997). Kimia Pangan dan Gizi. Gramedia Pustaka Utama. Jakarta.
appendix 1.Sensory Hedonic Ranking Test Uji ranking
Sample code
A : 457,678.892,831 B : 890,975,123,451 C : 781,654,764,921 Jenis sampel : roti
Identifikasi sampel Kode
Bread Premix 21oC A Bread Premix 27oC B Bread Premix 37oC C
Kode kombinasi urutan penyajian:
ABC = 1 ACB = 2 CAB = 3 BCA = 4
Penyajian
Booth Panelis Kode sampel urutan penyajian
I # 1 457 890 781 1
II # 2 678 654 975 2
III # 3 764 892 123 3
IV # 4 451 921 831 4
Rekap kode sampel:
Sampel A 457 678 892 831
Sampel B 890 975 123 451
Worksheet
Nama : tanggal:
Produk :
Atribut :Pori-pori
UJI RANKING
Dihadapan anda terdapat 3 sampel roti. Perhatikan sampel secara berurutan dari kiri kekanan perhatikan pori- pori pada roti, anda boleh mengulang sesering yang anda perlukan. Urutkan sampel dari yang pori-porinya renggang dan tidak rapat (=3) sampai yang paling rapat (=1). Kode sampel ranking (tidak boleh ada yang sama)
--- --- --- --- --- ---
Nama : tanggal:
Produk :
Atribut :tekstur(hardness)
UJI RANKING
Dihadapan anda terdapat 3 sampel roti. Perhatikan sampel secara berurutan dari kiri kekanan, tentukan kekerasan dari masing-masing sampel dengan cara menggigit dengan gigi geraham. Setelah mencicipi semua sampel, anda boleh mengulang sesering yang anda perlukan. Urutkan sampel dari yang paling keras (=3) sampai yang paling tidak keras(=1).
Kode sampel ranking (tidak boleh ada yang sama)
Nama : tanggal: Produk :
Atribut :tekstur(springiness)
UJI RANKING
Dihadapan anda terdapat 3 sampel roti. Perhatikan sampel secara berurutan dari kiri kekanan, tentukan kekenyalan dari masing-masing sampel dengan cara menggigit dengan gigi geraham kemudian rasakan apakah roti dapat kembali seperti semula. Setelah mencicipi semua sampel, anda boleh mengulang sesering yang anda perlukan. Urutkan sampel dari yang paling tidak kenyal (=3) sampai yang paling kenyal(=1).
Kode sampel ranking (tidak boleh ada yang sama)
--- --- --- --- --- ---
Nama : tanggal:
Produk : Atribut :overall
UJI RANKING
Dihadapan anda terdapat 3 sampel roti. Perhatikan sampel secara berurutan dari kiri kekanan, rasakan masing-masing,anda boleh mengulang sesering yang anda perlukan. Setelah mencicipi semua sampel urutkan sampel dari yang paling tidak anda sukai(=3) sampai yang paling anda sukai(=1).
Kode sampel ranking (tidak boleh ada yang sama)
Nama : tanggal: Produk :
Atribut :Rasa (ketengikan)
UJI RANKING
Dihadapan anda terdapat 3 sampel roti. Perhatikan sampel secara berurutan dari kiri kekanan, rasakan masing-masing,anda boleh mengulang sesering yang anda perlukan. Setelah mencicipi semua sampel urutkan sampel dari yang paling tengik (=3) sampai yang paling tidak tengik(=1). Kode sampel ranking (tidak boleh ada yang sama)
--- --- --- --- --- ---
Nama : tanggal:
Produk :
Atribut :Aroma (ketengikan)
UJI RANKING
Dihadapan anda terdapat 3 sampel roti. Perhatikan sampel secara berurutan dari kiri kekanan, ciumlah masing-masing,anda boleh mengulang sesering yang anda perlukan. Setelah mencicipi semua sampel urutkan sampel dari yang paling tengik (=3) sampai yang paling tidak tengik(=1). Kode sampel ranking (tidak boleh ada yang sama)
appendix 2. Post hoc Duncan tba bread premix based on temperature
appendix 3. Post hoc Duncan tba bread premix based on storage time
hari_14
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 .0603
27 3 .0683
37 3 .1193
Sig. .253 1.000
Means for groups in homogeneous subsets are displayed.
hari_0
Duncan
suhu N
Subset for alpha = 0.05
1
21 3 .0597
27 3 .0597
37 3 .0597
Sig. 1.000
Means for groups in homogeneous
subsets are displayed.
suhu_37
Duncan
hari N
Subset for alpha = 0.05
1 2 3 4 5 6
0 3 .0597
7 3 .0797
35 3 .1007
28 3 .1163 .1163
42 3 .1177 .1177
14 3 .1193
21 3 .1260 .1260
56 3 .1383
.1383
49 3 .1420
.1420
70 3 .1487
63 3 .1547
Sig. 1.000 1.000 .056 .283 .071
.074 Means for groups in homogeneous subsets are displayed.
suhu_27
Duncan
hari N
Subset for alpha = 0.05
1
0 3 .0597
56 3 .0657
14 3 .0683
28 3 .0707
42 3 .0770
70 3 .0813
84 3 .0980
Sig. .062
Means for groups in homogeneous subsets are displayed.
suhu_21
Duncan
hari N
Subset for alpha = 0.05
1
42 3 .0587
0 3 .0597
14 3 .0603
28 3 .0613
56 3 .0637
70 3 .0683
84 3 .0730
Sig. .082
Means for groups in homogeneous subsets are displayed.
appendix 4. Post hoc Duncan tba bread based on temperature suhu_21
Duncan
hari N
Subset for alpha = 0.05
1
28 3 .0672
42 3 .0686
0 3 .0772
70 3 .0775
56 3 .0828
14 3 .0839
84 3 .0916
Sig. .077
Means for groups in homogeneous subsets are displayed.
hari_70
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 .0683
27 3 .0813
37 3 .1487
Sig. .174 1.000
Means for groups in homogeneous subsets are displayed.
hari_56
Duncan
suhu N
Subset for alpha = 0.05 1 2
21 3 .0637
27 3 .0657
37 3 .1383
Sig. .935 1.000 Means for groups in homogeneous subsets are displayed.
hari_42
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 .0587
27 3 .0770
37 3 .1177
Sig. .214 1.000
Means for groups in homogeneous subsets are displayed.
hari_28
Duncan
suhu N
Su bset for alpha = 0.05
1 2
21 3 .0613
27 3 .0707
37 3 .1163
Sig. .292 1.000
Means for groups in homogeneous subsets are displayed.
appendix 5. Post hoc Duncan tba bread based on storage time
hari_14
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 .0839
27 3 .0846
37 3 .1218
Sig. .958 1.000 Means for groups in homogeneous subsets are displayed.
hari_0
Duncan
suhu N
Subset for alpha = 0.05
1 21 3 .0772 27 3 .0772 37 3 .0772
Sig. 1.000
Means for groups in homogeneous subsets are displayed.
suhu_37
Duncan
hari N
Subset for alpha = 0.05
1 2 3 4 5 6
0 3 .0772
7 3 .1077
14 3 .1218 .1218
28 3 .1239 .1239
35 3 .1275 .1275
21 3 .1282 .1282
42 3 .1380
49 3 .1622
56 3 .1812 .1812
63 3 .1882
70 3 .2504
Sig. 1.000 .062 .135 .056 .468 1.000
Means for groups in homogeneous subsets are displayed.
suhu_27
Duncan
hari N
Subset for alpha = 0.05
1 2 3
0 3 .0772
42 3 .0778
14 3 .0846 .0846
56 3 .0886 .0886
28 3 .0937 .0937 .0937
70 3 .1015 .1015
84 3 .1123
Sig. .130 .115 .077
Means for groups in homogeneous subsets are displayed.
hari_70
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 .0775
27 3 .1015
37 3 .2504
Sig. .068 1.000
Means for groups in homogeneous subsets are displayed.
hari_56
Duncan
suhu N
Subset for alpha = 0.05 1 2
21 3 .0828
27 3 .0886
37 3 .1812
Sig. .458 1.000 Means for groups in homogeneous subsets are displayed.
hari_42
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 .0686
27 3 .0778
37 3 .1380
Sig. .231 1.000
Means for groups in homogeneous subsets are displayed.
hari_28
Duncan
suhu N
Subset for alpha = 0.05 1 2 3 21 3 .0672 27 3 .0937
37 3 .1239
Sig. 1.000 1.000 1.000 Means for groups in homogeneous subsets are displayed.
appendix 6. Post hoc Duncan bread premix moisture based on temperature
suhu_37
Duncan
hari N
Subset f or alpha = 0.05
1 2 3 4 5
0 3 9.7300
7 3 9.9967 9.9967
14 3 10.1033 10.1033 10.1033
21 3 10.2167 10.2167 10.2167
28 3 10.4533 10.4533
35 3 10.5500
56 3 10.5800
42 3 10.6067
49 3 10.6200
63 3 11.1867
70 3 11.1867
Sig. .069 .275 .087 .066 1.000 Means for groups in homogeneous subsets are displayed.
suhu_27
Duncan
hari N
Subset for alpha = 0.05
1 2
0 3 9.8200
14 3 10.0667
42 3 10.2300
28 3 10.2967
56 3 10.3167
70 3 11.1867
84 3 11.6300
Sig. .104 .110
Means for groups in homogeneous subsets are
displayed.
suhu_21
Duncan
hari N
Subset for alpha
= 0.05 1
70 3 9.5300
56 3 9.6500
14 3 9.7833
0 3 9.8200
28 3 9.9067
42 3 10.0033
84 3 10.0667
Sig. .114
Means for groups in homogeneous
subsets are displayed.
appendix 7. Post hoc Duncan bread premix moisture based on storage time
hari_42
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 10.0033
27 3 10.2300 10.2300
37 3 10.5500
Sig. .252 .124
Means for groups in homogeneous subsets are
displayed.
hari_28
Duncan
suhu N
Subset for alpha
= 0.05 1
21 3 9.9067
37 3 10.2167
27 3 10.2967
Sig. .239
Means for groups in homogeneous
subsets are displayed.
hari_14
Duncan
suhu N
Subset for alpha
= 0.05
1
21 3 9.7833
37 3 9.9967
27 3 10.0667
Sig. .273
Means for groups in homogeneous
subsets are displayed.
hari_0
Duncan
suhu N
Subset for alpha
= 0.05 1
21 3 9.8200
27 3 9.8200
37 3 9.8200
Sig. 1.000
Means for groups in homogeneous
subsets are displayed.
appendix 8. Post hoc Duncan moisture bread based on temperature
hari_70
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 9.5300
27 3 11.1867
37 3 11.1867
Sig. 1.000 1.000
Means for groups in homogeneous subsets are
displayed.
hari_56
Duncan
suhu N
Subset for alpha = 0.05
1 2
21 3 9.6500
27 3 10.3167
37 3 10.6200
Sig. 1.000 .154
Means for groups in homogeneous subsets are
displayed.
appendix 9. Post hoc Duncan moisture bread based on storage time
appendix 10. Post hoc Duncan porosity based on temperature
appendix 12. Post hoc Duncan hardness and springinees test based on temperature
hardness
suhu_27
Duncan
hari N
Subset for alpha = .05
1 2 3
70 3 45.3053
84 3 46.4133
56 3 51.1097 51.1097
42 3 54.2870
0 3 54.3207
14 3 55.3250
28 3 63.6563
Sig. .085 .214 1.000
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
suhu_21
Duncan
hari N
Subset for alpha = .05
1 2 3
70 3 44.3733
56 3 47.3133 47.3133
28 3 53.4367 53.4367 53.4367
0 3 54.3207 54.3207 54.3207
84 3 56.1713 56.1713
14 3 58.2183
42 3 61.7760
Sig. .066 .098 .123
Springiness
suhu_21
Duncan
hari N
Subset for alpha = .05
1 2 3
14 3 1.7673
28 3 1.7923
70 3 2.0670 2.0670
56 3 2.1637 2.1637
0 3 2.5447 2.5447
84 3 2.8263
42 3 2.9920
Sig. .124 .062 .078
Me ans for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
suhu_37
Duncan
hari N
Subset for alpha = .05
1 2 3 4 5 6
63 3 41.2953
49 3 48.0967
56 3 49.0673 49.0673
7 3 51.6810 51.6810 51.6810
28 3 52.3820 52.3820 52.3820
0 3 54.3207 54.3207 54.3207 54.3207
21 3 55.4250 55.4250 55.4250
42 3 57.4933 57.4933
70 3 57.7103 57.7103
35 3 59.3673
14 3 65.3093
Sig. 1.000 .060 .055 .071 .123 1.000
suhu_37
Duncan
hari N
Subset for alpha = .05
1 2 3
56 3 1.6947
49 3 1.9913 1.9913
28 3 2.0840 2.0840 2.0840
63 3 2.0923 2.0923 2.0923
42 3 2.3037 2.3037
35 3 2.3483 2.3483
70 3 2.3900 2.3900
7 3 2.4303 2.4303
14 3 2.4980 2.4980
0 3 2.5447 2.5447
21 3 2.6510
Sig. .155 .066 .060
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
suhu_27
Duncan
hari N
Subset for alpha = .05
1 2 3
42 3 2.0430
84 3 2.3930 2.3930
70 3 2.5023
0 3 2.5447
14 3 2.5597
56 3 2. 6807
28 3 3.8170
Sig. .085 .188 1.000
appendix 13.Post hoc Duncan hardness and springinees test based on storage time hardness
hari_0
hari_28
Duncan
suhu N
Subset for alpha =
.05
1
37 3 52.3820
21 3 53.4367
27 3 63.6563
Sig. .147
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
hari_14
Duncan
suhu N
Subset for alpha = .05
1 2
27 3 55.3250
21 3 58.2183 58.2183
37 3 65.3093
Sig. .437 .087
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
Duncan
suhu N
Subset for alpha =
.05
1
21 3 54.3207
27 3 54.3207
37 3 54.3207
Sig. 1.000
hari_70
Duncan
suhu N
Subset for alpha = .05
1 2
21 3 44.3733
27 3 45.3053
37 3 57.7103
Sig. .766 1.000
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
hari_56
Duncan
suhu N
Subset for alpha =
.05
1
21 3 47.3133
37 3 49.0673
27 3 51.1097
Sig. .092
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.000.
hari_42
Duncan
suhu N
Subset for alpha =
.05
1
27 3 54.2870
37 3 57.4933
21 3 61.7760
Sig. .161
springiness
hari_28
Duncan
suhu N
Subset for alpha =
.05
1
21 6 27.6145
37 6 33.6967
27 6 33.7367
Sig. .761
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 6.000.
hari_14
Duncan
suhu N
Subset for alpha =
.05
1
37 6 27.0895
27 6 28.9423
21 6 29.9928
Sig. .872
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 6.000.
hari_0
Duncan
suhu N
Subset for alpha =
.05
1
21 6 28.4327
27 6 28.4327
37 6 28.4327
Sig. 1.000
hari_70
Duncan
suhu N
Subset for alpha =
.05
1
37 3 2.3900
27 3 2.5023
21 6 23.2202
Sig. .161
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 3.600.
b The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
hari_56
Duncan
suhu N
Subset for alpha =
.05
1
21 6 24.7385
27 6 26.8952
37 6 27.0383
Sig. .888
Means for groups in homogeneous subsets are displayed. a Uses Harmonic Mean Sample Size = 6.000.
hari_42
Duncan
suhu N
Subset for alpha =
.05
1
27 6 28.1650
37 6 28.8643
21 6 32.3840
Sig. .822
appendix 14. Correlation test
Correlations
tba_pre moisture_pre tba_roti moisture_roti hardness Springiness
tba_pre Pearson
Correlation 1 .440
**
.855** .624** -.129 -.249*
Sig. (2-tailed) .004 .000 .000 .270 .031
N 75 40 75 75 75 75
moisture_pre Pearson
Correlation .440
**
1 .575** .413** -.117 -.256
Sig. (2-tailed) .004 .000 .008 .472 .111
N 40 75 40 40 40 40
tba_roti Pearson
Correlation .855
**
.575** 1 .690** -.093 -.224
Sig. (2-tailed) .000 .000 .000 .428 .053
N 75 40 75 75 75 75
moisture_roti Pearson
Correlation .624
**
.413** .690** 1 -.148 -.178
Sig. (2-tailed) .000 .008 .000 .204 .127
N 75 40 75 75 75 75
hardness Pearson
Correlation -.129 -.117 -.093 -.148 1 .369
**
Sig. (2-tailed) .270 .472 .428 .204 .001
N 75 40 75 75 75 75
springiness Pearson
Correlation -.249
*
-.256 -.224 -.178 .369** 1
Sig. (2-tailed) .031 .111 .053 .127 .001
N 75 40 75 75 75 75
**. Correlation is significant at the 0.01 level (2-tailed).
appendix 15. Post hoc Friedman bread based on temperature
hardneess
Test Statisticsa
N 150
Chi-Square .013
df 2
Asymp.
Sig. .993
a. Friedman Test
Porosity
Test Statistics a
N 150
Chi -Square 1.653
df 2
Asymp.
Sig. .438 a. Friedman Test
taste
Test Statisticsa
N 150
Chi-Square 1.960
df 2
Asymp.
Sig. .375
a. Friedman Test
Springiness
Test Statistics a
N 150
Chi -Square .520
df 2
Asymp.
Sig. .771 a. Friedman Test
Aroma
appendix 16.Post hoc Friedman bread based on stored time Taste
37oC
Test Statisticsa
N 30
Chi-Square 5.851
df 4
Asymp.
Sig. .211
a. Friedman Test
27 o C
Test Statisticsa
N 30
Chi-Square 4.943
df 4
Asymp.
Sig. .293 a. Friedman Test
21o C
Test Statistics a
N 30
Chi -Square 11.190
df 4
Asymp.
Sig. .025 a. Friedman Test
overall
Test Statisticsa
N 150
Chi-Square 3.853
df 2
Asymp.
Sig. .146
a. Friedman Test
T est Statisticsa
N 150
Chi-Square 2.893
df 2
Asymp.
Aroma
37 o C
Test Statisticsa
N 30
Chi-Square 5.435
df 4
Asymp.
Sig. .245 a. Friedman Test
27oC
Test Statisticsa
N 30
Chi-Square 6.05 8
df 4
Asymp.
Sig. .195
a. Friedman Test
21oC
Test Statisticsa
N 30
Chi-Square 8.33 8
df 4
Asymp. Sig. .080 a. Friedman Test
Porosity
27OC
Test Statisticsa
N 30
Chi-Square 7.551
df 4
Asymp.
Sig. .109
a. Friedman Test
37oC
Test Statisticsa
N 30
Chi-Square 4.058
df 4
Asymp.
Sig. .398
a. Friedman Test
21o C
Test Statistics a
N 30
Chi -Square 7.662
df 4
Asymp.
Sig. .105 a. Friedman Test
Hardness
Springiness
37oC
Test Statisticsa
N 30
Chi-Square 2.102
df 4
Asymp.
Sig. .717
a. Friedman Test
27o C
Test Statisticsa
N 30
Chi -Square 3.078
df 4
Asymp.
Sig. .545 a. Friedman Test
21o C
Test Statistics a
N 30
Chi -Square 8.700
df 4
Asymp.
Sig. .069 a. Friedman Test
37oC
Test Statisticsa
N 30
Chi-Square 6.141
df 4
Asymp.
Sig. .189
a. Friedman Test
27o C
Test Statisticsa
N 30
Chi-Square 12.766
df 4
Asymp. Sig. .012
a. Friedman Test
21o C
Test Statisticsa
N 30
Chi -Square 16.698
df 4
Asymp.
Sig. .002 a. Friedman Test
Overall
370C
Test Statisticsa
N 30
Chi-Square 1.067
df 4
Asymp.
Sig. .899
a. Friedman Test
27oC
Test Statisticsa
N 30
Chi-Square 5.189
df 4
Asymp.
Sig. .268
a. Friedman Test
21o C
Test Statistics a
N 30
Chi -Square 4.603
df 4
Asymp.
Sig. .331 a. Friedman Test
appendix 17. ASLT Arrhenius
Q0 = 0.154, Qe = 0.060
Bread Premix stored at 37oC Bread Premix stored at 27oC y = - 12943x + 34.89. y = - 12943x + 34.89.
ln k = - 12943 (1/T) + 34.89 ln k = - 12943 (1/T) + 34.89 ln k = - 12943 (1/310) + 34.89 ln k = - 12943 (1/300) + 34.89 ln k = ‐ 6.861 ln k = ‐8.253
k = 0.001047 k = 0.000260
ts = |Q Q | ts = |Q Q |
ts = 89.75 days ts = 360.96 days
Q10 of tba bread premix (between 27oC and 37oC)
10 .
ln 10 10 1. 21