Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization
Abstract
:1. Introduction
2. Materials and Methods
2.1. Materials and Apparatus
2.2. Sampling
2.3. Experimental Design
2.4. Free Fatty Acidity Determination—Regulated Method
2.5. Peroxides Number Determination—Regulated Method
2.6. Anisidine Number Determination—Regulated Method
2.7. Statistical Analysis
3. Results and Discussions
3.1. Free Fatty Acidity
3.2. Peroxides Number
3.3. Anisidine Number
3.4. Optimized Methods
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Quality Parameters | Variables | Levels |
---|---|---|
Free Fatty Acidity | Hempseed oil | 1—10.5—20* g |
Solvent Volume | 10—55—100* mL | |
Indicator Volume | 0.05—0.175—0.3* mL | |
KOH concentration | 0.01—0.055—0.1* N | |
Peroxides Number | Hempseed oil | 0.1—2.55—5* g |
Solvent Volume | 5—15—25* mL | |
KI Volume | 0.1—0.3—0.5* mL | |
Na2SO4 concentration | 0.0005—0.00275—0.005* N | |
Anisidine Number | Hempseed oil | 0.1—2.05—4* g |
A solution Volume | 10—17.5—25* mL | |
B solution Volume | 2.5—3.75—5* mL | |
p-Anisidine Volume | 0.5—0.75—1* mL |
Parameter | Estimated Coefficient | S.D. | Sum of Square | Log of Valence | F-Value | p > F |
---|---|---|---|---|---|---|
MODEL | - | - | 0.58 | - | 27.38 | <0.0001 * |
Intercept | ||||||
Q0 | −0.79 | 1.05 | - | - | - | - |
Linear | ||||||
Weight(1,20) | −0.31 | 0.065 | 0.034 | 3.341 | 22.75 | 0.0005 * |
Volume(10,100) | −0.03 | 0.065 | 0.0003 | 0.193 | 0.23 | 0.6415 |
Indicator(0,05,0,3) | −1.16 | 1.28 | 0.0012 | 0.417 | 0.82 | 0.3826 |
Titrator(0.01.0.1) | −0.13 | 0.065 | 0.0065 | 1.220 | 4.30 | 0.0602 |
Interaction | ||||||
Weight*Volume | −0.06 | 0.0097 | 0.012 | 4.660 | 44.93 | <0.0001 * |
Weight*Indicator | −0.11 | 0.039 | 0.003 | 1.828 | 8.07 | 0.0149 |
Volume*Indicator | −0.01 | 0.039 | 0.0037 | 1.484 | 1.99 | 0.1828 |
Weight*Titrator | −0.55 | 0.0097 | 0.0088 | 0.840 | 2.43 | 0.1446 |
Volume*Titrator | −0.02 | 0.0097 | 0.0087 | 0.738 | 5.82 | 0.0328 |
Indicator*Titrator | −0.09 | 0.039 | 0.012 | 1.466 | 5.71 | 0.0342 |
Quadratic | ||||||
Weight*Weight | 0.13 | 0.024 | 0.045 | 3.834 | 29.75 | 0.0001 * |
Volume*Volume | 0.05 | 0.024 | 0.0059 | 1.148 | 3.92 | 0.0711 |
Indicator*Indicator | −0.37 | 0.39 | 0.0014 | 0.453 | 0.94 | 0.3524 |
Titrator*Titrator | −0.03 | 0.024 | 0.0021 | 0.577 | 1.37 | 0.2648 |
STATISTICS | ||||||
R2 | 0.97 | - | - | - | - | - |
R2adj | 0.93 | - | - | - | - | - |
RMSE | 0.0039 | - | - | - | - | - |
CV % | 2.14 | - | - | - | - | - |
Parameter | Estimated Coefficient | S.D. | Sum of Square | Log of Valence | F-Value | p > F |
---|---|---|---|---|---|---|
Model | - | - | 19.9526 | - | 15.66 | 0.0002* |
Intercept | ||||||
Q0 | 10.26 | 1.11 | - | - | - | - |
Linear | ||||||
Weight(1.20) | −4.13 | 0.44 | 113.22 | 4.880 | 88.85 | <0.0001 * |
Volume(5.25) | 1.25 | 0.44 | 10.43 | 1.675 | 8.18 | 0.0211 * |
KI(0.1.0.5) | 0.73 | 0.44 | 3.54 | 0.872 | 2.78 | 0.1342 |
Titrator(0.0005.0.005) | −2.16 | 3.53 | 0.48 | 0.254 | 0.37 | 0.5569 |
Interaction | ||||||
Weight*Volume | 0.33 | 0.28 | 1.78 | 0.567 | 1.39 | 0.2709 |
Weight*KI | 0.23 | 0.28 | 0.85 | 0.359 | 0.67 | 0.4378 |
Volume*KI | −0.082 | 0.28 | 0.10 | 0.107 | 0.083 | 0.7811 |
Weight*Titrator | −0.063 | 0.59 | 0.015 | 0.038 | 0.012 | 0.9166 |
Volume*Titrator | 0.21 | 0.58 | 0.16 | 0.138 | 0.13 | 0.7284 |
KI*Titrator | 1.85 | 0.58 | 12.98 | 1.894 | 10.18 | 0.0128 * |
Quadratic | ||||||
Weight*Weight | 2.65 | 0.72 | 17.31 | 2.210 | 13.59 | 0.0062 * |
Volume*Volume | −1.13 | 0.72 | 3.16 | 0.813 | 2.48 | 0.1537 |
Indicator*Indicator | 0.48 | 0.72 | 0.57 | 0.284 | 0.45 | 0.5205 |
Titrator*Titrator | −2.41 | 2.91 | 0.88 | 0.365 | 0.69 | 0.4312 |
STATISTICS | ||||||
R2 | 0.97 | - | - | - | - | - |
R2adj | 0.91 | - | - | - | - | - |
RMSE | 0.36 | - | - | - | - | - |
CV % | 3.02 | - | - | - | - | - |
Parameter | Estimated Coefficient | S.D. | Sum of Square | Log of Valence | F-Value | p > F | ||
---|---|---|---|---|---|---|---|---|
Model | - | - | 118.36 | - | 17.71 | <0.0001 * | ||
Intercept | ||||||||
Q0 | 2.37 | 0.32 | - | - | - | - | ||
Linear | ||||||||
Weight(0.2.4) | −0.73 | 0.20 | 9.68 | 2.415 | 12.75 | 0.0038 * | ||
A sol. (mL)(10.25) | 0.81 | 0.20 | 11.78 | 2.706 | 15.51 | 0.0020 * | ||
B sol. (mL)(2.5.5) | 1.37 | 0.20 | 33.67 | 4.632 | 44.33 | <0.0001 * | ||
p-Anisidine (mL)(0.5.1) | −0.80 | 0.20 | 11.58 | 2.680 | 15.25 | 0.0021 * | ||
Interaction | ||||||||
Weight (g)*A sol. (mL) | −1.58 | 0.22 | 39.93 | 4.994 | 52.58 | <0.0001 * | ||
Weight (g)*B sol. (mL) | −1.13 | 0.22 | 20.69 | 3.668 | 27.25 | 0.0002 * | ||
A sol. (mL)*B sol. (mL) | 1.04 | 0.22 | 17.30 | 3.343 | 22.78 | 0.0005 * | ||
Weight (g)*Anisidine (mL) | 0.65 | 0.22 | 6.79 | 1.948 | 8.94 | 0.0113 * | ||
A sol. (mL)*Anisidine (mL) | 0.47 | 0.22 | 3.57 | 1.292 | 4.70 | 0.0510 | ||
B sol. (mL)*Anisidine (mL) | −0.29 | 0.22 | 1.40 | 0.702 | 1.85 | 0.1985 | ||
Quadratic | ||||||||
Weight*Weight | −1.25 | 0.54 | 4.06 | 1.406 | 5.35 | 0.0393 * | ||
A sol. (mL)*A sol. (mL) | 1.65 | 0.54 | 7.07 | 1.998 | 9.31 | 0.0101 * | ||
B sol. (mL)*B sol. (mL) | 0.66 | 0.54 | 1.11 | 0.604 | 1.47 | 0.2491 | ||
Anisidine (mL)*Anisidine (mL) | 1.16 | 0.54 | 3.46 | 1.267 | 4.56 | 0.0540 | ||
STATISTICS | ||||||||
R2 | 0.95 | - | - | - | - | - | ||
R2adj | 0.90 | - | - | - | - | - | ||
RMSE | 0.26 | - | - | - | - | - | ||
CV % | 6.86 | - | - | - | - | - |
Parameter | Variables | Standard Method | Optimized Method | Saving |
---|---|---|---|---|
Free Fatty Acidity | Weight (g) | 20 | 3.15 | 84% |
Solvent Volume (mL) | 100 | 10 | 90% | |
Titrator Concentration (N) | 0.1 | 0.05 | 50% | |
Indicator Volume (mL) | 0.3 | 0.01 | 97% | |
Peroxides Number | Weight (g) | 5 | 1.5 | 70% |
Solvent Volume (mL) | 25 | 5 | 80% | |
KI Volume (mL) | 0.5 | 0.25 | 50% | |
Titrator Concentration (N) | 0.002 | 0.0005 | 75% | |
Anisidine Number | Weight (g) | 4 | 0.7 | 82% |
Isooctane Volume (mL) | 25 | 10 | 60% | |
Solvent Volume (mL) | 5 | 2.5 | 50% | |
Anisidine Volume (mL) | 1 | 0.5 | 50% |
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Rapa, M.; Ciano, S.; Rocchi, A.; D’Ascenzo, F.; Ruggieri, R.; Vinci, G. Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization. Sustainability 2019, 11, 3104. https://doi.org/10.3390/su11113104
Rapa M, Ciano S, Rocchi A, D’Ascenzo F, Ruggieri R, Vinci G. Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization. Sustainability. 2019; 11(11):3104. https://doi.org/10.3390/su11113104
Chicago/Turabian StyleRapa, Mattia, Salvatore Ciano, Andrea Rocchi, Fabrizio D’Ascenzo, Roberto Ruggieri, and Giuliana Vinci. 2019. "Hempseed Oil Quality Parameters: Optimization of Sustainable Methods by Miniaturization" Sustainability 11, no. 11: 3104. https://doi.org/10.3390/su11113104