Different Chemometric Methods for the Discrimination of Commercial Aged Cachaças
Abstract Cachaça, like other distilled beverages, often passes through an aging process and a peculiar fact is that Brazilian native woods are used for producing the barrels used for aging, in addition to oak. Cachaças can be aged in barrels of amendoim (Pterogyne nitens), balsam (Myroxylon peruiferum), jequitibá (Cariniana estrellensis), umburana (Amburana cearensis), and oak (Quercus sp.). Cachaças aged in wooden barrels have their final price for the consumer substantially increased, making them susceptible to fraud. So, methods to check the authenticity of aged cachaça are increasingly required. In this paper, 109 samples of commercial aged cachaças were used for the construction of supervised classification models—PLS-DA (partial least squares for discriminant analysis) and NPLS-DA (N-way PLS-DA)—by using UV-Vis spectrophotometry and spectrofluorimetry. The best results were obtained for the model based on low-level data fusion, providing good reliability rates for the training and test sets (ranging from 56 to 100 %) for all the analyzed classes..
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2015 |
---|---|
Erschienen: |
2015 |
Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
---|---|
Enthalten in: |
Food analytical methods - 9(2015), 4 vom: 16. Aug., Seite 1053-1059 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Bernardes, Cristina D. [VerfasserIn] |
---|
Links: |
Volltext [lizenzpflichtig] |
---|
Themen: |
Data fusion |
---|
Anmerkungen: |
© Springer Science+Business Media New York 2015 |
---|
doi: |
10.1007/s12161-015-0284-6 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
SPR02514622X |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR02514622X | ||
003 | DE-627 | ||
005 | 20230519221505.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201007s2015 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s12161-015-0284-6 |2 doi | |
035 | |a (DE-627)SPR02514622X | ||
035 | |a (SPR)s12161-015-0284-6-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Bernardes, Cristina D. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Different Chemometric Methods for the Discrimination of Commercial Aged Cachaças |
264 | 1 | |c 2015 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © Springer Science+Business Media New York 2015 | ||
520 | |a Abstract Cachaça, like other distilled beverages, often passes through an aging process and a peculiar fact is that Brazilian native woods are used for producing the barrels used for aging, in addition to oak. Cachaças can be aged in barrels of amendoim (Pterogyne nitens), balsam (Myroxylon peruiferum), jequitibá (Cariniana estrellensis), umburana (Amburana cearensis), and oak (Quercus sp.). Cachaças aged in wooden barrels have their final price for the consumer substantially increased, making them susceptible to fraud. So, methods to check the authenticity of aged cachaça are increasingly required. In this paper, 109 samples of commercial aged cachaças were used for the construction of supervised classification models—PLS-DA (partial least squares for discriminant analysis) and NPLS-DA (N-way PLS-DA)—by using UV-Vis spectrophotometry and spectrofluorimetry. The best results were obtained for the model based on low-level data fusion, providing good reliability rates for the training and test sets (ranging from 56 to 100 %) for all the analyzed classes. | ||
650 | 4 | |a Sugar cane spirit |7 (dpeaa)DE-He213 | |
650 | 4 | |a Molecular fluorescence |7 (dpeaa)DE-He213 | |
650 | 4 | |a Data fusion |7 (dpeaa)DE-He213 | |
650 | 4 | |a PLS-DA |7 (dpeaa)DE-He213 | |
650 | 4 | |a NPLS-DA |7 (dpeaa)DE-He213 | |
700 | 1 | |a Barbeira, Paulo J. S. |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Food analytical methods |d New York, NY : Springer, 2008 |g 9(2015), 4 vom: 16. Aug., Seite 1053-1059 |w (DE-627)SPR025083481 |w (DE-600)2424728-5 |x 1936-976X |7 nnns |
773 | 1 | 8 | |g volume:9 |g year:2015 |g number:4 |g day:16 |g month:08 |g pages:1053-1059 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s12161-015-0284-6 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a SSG-OLC-PHA | ||
951 | |a AR | ||
952 | |d 9 |j 2015 |e 4 |b 16 |c 08 |h 1053-1059 |