کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1163268 1490932 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools
ترجمه فارسی عنوان
یک رویکرد جدید برای ارزیابی مشخصات گرده عسل با استفاده از زبان الکترونیکی و ابزارهای شیمیایی
کلمات کلیدی
زبان الکترونیکی، مدل رگرسیون خطی چندگانه، الگوریتم آنیلینگ شبیه سازی شده، عسل، مشخصات گرده
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


• Honey's floral origin labeling is a legal requirement.
• Melissopalynology analysis usually used to evaluate pollens profile is laborious.
• A novel E-tongue based approach is applied to assess pollens relative abundance.
• MLR models using SA variable selection and repeated K-fold cross-validation.
• The approach may be used as a preliminary tool for pollinic evaluation.

Nowadays the main honey producing countries require accurate labeling of honey before commercialization, including floral classification. Traditionally, this classification is made by melissopalynology analysis, an accurate but time-consuming task requiring laborious sample pre-treatment and high-skilled technicians. In this work the potential use of a potentiometric electronic tongue for pollinic assessment is evaluated, using monofloral and polyfloral honeys. The results showed that after splitting honeys according to color (white, amber and dark), the novel methodology enabled quantifying the relative percentage of the main pollens (Castanea sp., Echium sp., Erica sp., Eucaliptus sp., Lavandula sp., Prunus sp., Rubus sp. and Trifolium sp.). Multiple linear regression models were established for each type of pollen, based on the best sensors' sub-sets selected using the simulated annealing algorithm. To minimize the overfitting risk, a repeated K-fold cross-validation procedure was implemented, ensuring that at least 10–20% of the honeys were used for internal validation. With this approach, a minimum average determination coefficient of 0.91 ± 0.15 was obtained. Also, the proposed technique enabled the correct classification of 92% and 100% of monofloral and polyfloral honeys, respectively. The quite satisfactory performance of the novel procedure for quantifying the relative pollen frequency may envisage its applicability for honey labeling and geographical origin identification. Nevertheless, this approach is not a full alternative to the traditional melissopalynologic analysis; it may be seen as a practical complementary tool for preliminary honey floral classification, leaving only problematic cases for pollinic evaluation.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 900, 5 November 2015, Pages 36–45
نویسندگان
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