Chapter 1 Comparing sensory and analytical chemistry flavor analysis |
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1 | (22) |
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I. Quantitative descriptive analysis |
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3 | (1) |
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3 | (3) |
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III. Comparison of sensory analysis and analytical chemistry flavor analysis |
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6 | (1) |
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7 | (11) |
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A. Examples in which chemical analysis was better |
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8 | (3) |
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8 | (1) |
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2. Ice cream with burnt-feathers off-flavor |
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8 | (2) |
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3. Meat analog with beany off-flavor |
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10 | (1) |
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B. Limitations of chemical analysis |
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11 | (1) |
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C. Examples of the problem-solving capabilities of sensory analysis |
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12 | (6) |
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1. Optimization of cheddar cheese taste in model cheese systems |
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12 | (1) |
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2. QDA and PCA for sensory characterization of ultrapasteurized milk |
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13 | (2) |
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3. Acceptance of reduced-fat ultrapasteurized milk by consumers 6 to 11 years old |
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15 | (2) |
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4. Cheddar cheese and powdered-milk lexicons |
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17 | (1) |
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V. Linking sensory and chemical analysis to better understand flavor development |
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18 | (2) |
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A. Effect of antioxidant fortification on light-induced flavor of milk |
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18 | (1) |
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B. Characterization of nutty flavor in cheddar cheese |
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19 | (1) |
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20 | (3) |
Chapter 2 Relating sensory and instrumental analyses |
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23 | (32) |
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M.A. Drake, R.E. Miracle, A.D. Caudle, and K.R. Cadwallader |
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23 | (2) |
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II. Establishing precise links: Identification of an off-flavor in butter as an example |
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25 | (10) |
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26 | (4) |
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30 | (5) |
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III. Analysis of multiple samples or multiple volatile components: another approach |
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35 | (16) |
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A. Flavor formation across SMP production |
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36 | (9) |
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36 | (3) |
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39 | (6) |
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B. Flavor changes in SMP with storage |
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45 | (14) |
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46 | (1) |
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47 | (4) |
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51 | (1) |
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51 | (1) |
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51 | (4) |
Chapter 3 Application of sensory-directed flavor-analysis techniques |
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55 | (26) |
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56 | (1) |
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57 | (2) |
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III. Identifying character-impact components |
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59 | (7) |
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60 | (1) |
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61 | (2) |
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C. Verify your hypothesis: recombination studies and odor units |
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63 | (3) |
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66 | (11) |
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A. Fermented pickle flavor |
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66 | (4) |
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70 | (4) |
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C. Application of MVA in resolving a flavor problem with cheese powder |
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74 | (3) |
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V. Learning from failures |
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77 | (1) |
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77 | (4) |
Chapter 4 An integrated MDGC-MS-olfactometry approach to aroma and flavor analysis |
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81 | (30) |
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David K. Eaton, Lawrence T. Nielsen, and Donald W. Wright |
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82 | (1) |
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II. Malodor/malflavor investigations |
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83 | (12) |
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A. Case study #1 precursor oxidation in bottled drinking water |
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85 | (3) |
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B. Case study #2 aroma/flavor defect in plastic-wrapped cracker product |
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88 | (3) |
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C. Case study #3 malflavor in powdered smoked meat flavor concentrate |
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91 | (4) |
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III. GC-O in aromaflavor quality control |
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95 | (9) |
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A. Case study #4 vanilla-extract flavor quality: A univariate approach |
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95 | (2) |
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96 | (1) |
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2. Univariate vs. multivariate data analysis |
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97 | (1) |
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B. Case study #5 beer flavor quality: A multivariate approach |
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97 | (1) |
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1. Variability of beer flavor |
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97 | (1) |
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97 | (1) |
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3. Importance of the flavor panel |
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98 | (1) |
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4. Indirect aroma correlations |
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99 | (1) |
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5. Minimum aroma monitoring set |
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99 | (1) |
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6. Instrumental QC method |
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100 | (1) |
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101 | (1) |
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8. Multivariate data analysis |
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101 | (2) |
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9. Sampling at fermentation |
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103 | (1) |
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103 | (1) |
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IV. Integrated MDGC-MS-O system design strategy |
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104 | (4) |
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A. Case study #6 wildflower honey: Aroma character-defining compound isolation |
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105 | (3) |
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108 | (1) |
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108 | (1) |
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108 | (3) |
Chapter 5 Preseparation techniques in aroma analysis |
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111 | (44) |
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Michael C. Qian, Helen M. Burbank, and Yuanyuan Wang |
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111 | (2) |
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II. Chemical manipulation |
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113 | (10) |
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A. Classic acid and base separation |
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113 | (10) |
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III. Column-liquid chromatography |
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123 | (15) |
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A. Normal-phase chromatography |
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124 | (8) |
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1. Silica gel column chromatography |
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124 | (8) |
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2. Reversed-phase chromatography |
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132 | (1) |
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B. Ion-exchange chromatography |
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132 | (3) |
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C. Isolation of thiols by ion-exchange chromatography |
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135 | (3) |
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IV. Preparative and multidimensional HPLC and GC |
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138 | (9) |
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A. Preparative HPLC and GC techniques |
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139 | (2) |
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B. Multidimensional gas chromatography |
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141 | (15) |
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1. Conventional two-dimensional GC |
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142 | (2) |
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2. Comprehensive two-dimensional GC |
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144 | (3) |
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147 | (1) |
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147 | (8) |
Chapter 6 Solid phase dynamic extraction: a technique for extracting more analytes from samples |
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155 | (26) |
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Ingo Christ, Ulrike B. Kuehn, and Ken Strassburger |
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I. Introduction to solid phase dynamic extraction |
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156 | (11) |
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156 | (4) |
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160 | (1) |
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C. Technical aspects of SPDE |
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161 | (1) |
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D. Influence of parameters |
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161 | (3) |
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161 | (2) |
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163 | (1) |
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163 | (1) |
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E. Choice of polymer coating for the stationary phase |
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164 | (2) |
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F. SPDE extraction cooler for highly volatile compounds |
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166 | (1) |
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167 | (13) |
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A. Residues of packaging material in beverages |
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167 | (3) |
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170 | (1) |
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171 | (1) |
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D. Volatile fractions of food matrices |
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171 | (7) |
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178 | (1) |
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F. Analysis of highly volatile compounds with SPDE extraction |
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179 | (1) |
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180 | (1) |
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180 | (1) |
Chapter 7 The application of chemometrics for studying flavor and off-flavor problems in foods and beverages |
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181 | (24) |
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182 | (1) |
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II. Multivariate analysis approaches for flavor studies |
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183 | (16) |
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A. MS E-Nose applications based on mass intensity data |
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185 | (7) |
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1. Classification of coffee samples by geographic origin |
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185 | (3) |
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2. Understanding and predicting the cause of milk off-flavor using MVA techniques |
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188 | (4) |
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B. Application of chemometrics for understanding the role of specific chemicals that define characteristic food and beverage flavors |
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192 | (15) |
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1. Determination of the age of sherry wines by chemometrics |
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193 | (3) |
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2. Determining chemicals responsible for off-flavor in club cheese |
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196 | (3) |
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III. Additional tips for maximizing the usefulness of chemometrics |
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199 | (3) |
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202 | (1) |
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202 | (3) |
Chapter 8 Sensometrics: the application of multivariate analysis to sensory data |
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205 | (18) |
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S. Karow, Y. Fu, and T. Laban |
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206 | (1) |
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II. The use of multivariate analysis in examining sensory data: application examples |
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207 | (14) |
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A. Cinnamon-flavored cereal |
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207 | (3) |
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207 | (1) |
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208 | (1) |
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208 | (2) |
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210 | (1) |
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210 | (4) |
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210 | (1) |
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211 | (2) |
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213 | (1) |
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214 | (1) |
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214 | (10) |
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214 | (1) |
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215 | (5) |
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220 | (1) |
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220 | (1) |
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221 | (2) |
Chapter 9 Character-impact flavor compounds |
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223 | (46) |
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223 | (1) |
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II. Character-impact flavors in foods |
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224 | (23) |
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A. Herb, spice, and seasoning flavors |
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225 | (4) |
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229 | (5) |
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234 | (3) |
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D. Maillard-type, brown, and cereal flavors |
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237 | (4) |
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241 | (1) |
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F. Meat and seafood flavors |
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242 | (3) |
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G. Cheese and dairy flavors |
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245 | (2) |
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III. Characterizing aromas in off-flavors |
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247 | (9) |
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256 | (1) |
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257 | (12) |
Index |
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269 | |