کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6396502 1628484 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Feasibility of different chemometric techniques to differentiate commercial Brazilian sugarcane spirits based on chemical markers
ترجمه فارسی عنوان
امکان سنجی از روش های مختلف شیمیایی برای تمایز ارواح نیشکر نان برزیلی بر اساس نشانگرهای شیمیایی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
چکیده انگلیسی


- No differences were observed in the chemical markers of aged and non-aged cachaças.
- HCA was effective in separating alembic cachaças from two producing regions.
- LDA was suitable to assess the provenance and distilling and aging process of cachaça.

Chemometric techniques were used to assess the quality of 51 commercial Brazilian sugarcane spirits (cachaça) based on chemical markers. Benzo(a)pyrene, methanol, 2,3-methyl-1-butanol, acetaldehyde, isobutyl alcohol, n-propanol, density, alcoholic strength, and higher alcohols were quantified using chromatographic methods and results were subjected to Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA), and Linear Discriminant Analysis (LDA). No significant differences (p ≥ 0.071) were observed in the chemical markers of Brazilian aged and non-aged cachaça samples. Besides non-significant (p = 0.922), the content of benzo(a)pyrene in aged sugarcane spirits was 1.83 times higher than in non-aged ones. Differences in alcoholic strength (p = 0.001) and n-propanol (p = 0.015) were observed among cachaças produced by double distilling, alembic and in stainless steel columns. PCA was not suitable to separate the samples according to the provenance, aging and distilling process, while HCA was effective in separating alembic cachaças produced by from two distinct producing regions. LDA seemed to be very suitable to assess not only the provenance but also the distilling and aging processes that cachaça undergoes, yielding about 91% accuracy to discriminate non-aged from aged cachaça, 81.82% and 86.61% accuracy to discriminate samples from Minas Gerais and São Paulo, respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Research International - Volume 60, June 2014, Pages 212-217
نویسندگان
, , , , ,