TY - JOUR
T1 - Chemical characterization complemented with chemometrics for the botanical origin identification of unifloral and multifloral honeys from India
AU - Devi, Apramita
AU - Jangir, Jitender
AU - K.A., Anu Appaiah
N1 - Funding Information:
We acknowledge Prof. Ram Rajashekharan, Director, CSIR-CFTRI, for the necessary research support. Apramita Devi thank University Grants Commission (UGC), New Delhi, India, for the financial support by providing junior research fellowship ( 1397/NET-DEC 2012 ). The authors declare no conflict of interest.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/5
Y1 - 2018/5
N2 - Chemical fingerprints based on FTIR spectra, phenolics and volatiles were studied for a total of 30 honey types of eight different botanical origin i.e. litchi, neem, ginger, eucalyptus, lemon (unifloral) and Kashmiri white, BR Hills & Pan India honey (Multifloral). Chemometrics based on principal component analysis (PCA) was used as a complementary tool for chemical fingerprint of honey. ATR-FTIR had a good predictive capability to discriminate among honey when conjugated with chemometric tools, providing the rapid first-line of classification for honey. The specific phenolic compounds identified were homovanillic acid for neem, zingerone and gingerol for ginger, tricetin for eucalyptus, hesperitin and naringenin for lemon honey. Analysis of volatiles led to identification of odor active compounds such as azadirachtin for neem and zingiberene in ginger honey for the first time, whereas cis-rose oxide for litchi, 2-hydroxycineole for eucalyptus and methyl anthranilate & limonene diol for lemon honey as per previous studies which were well correlated with PCA of phenolics and volatiles.
AB - Chemical fingerprints based on FTIR spectra, phenolics and volatiles were studied for a total of 30 honey types of eight different botanical origin i.e. litchi, neem, ginger, eucalyptus, lemon (unifloral) and Kashmiri white, BR Hills & Pan India honey (Multifloral). Chemometrics based on principal component analysis (PCA) was used as a complementary tool for chemical fingerprint of honey. ATR-FTIR had a good predictive capability to discriminate among honey when conjugated with chemometric tools, providing the rapid first-line of classification for honey. The specific phenolic compounds identified were homovanillic acid for neem, zingerone and gingerol for ginger, tricetin for eucalyptus, hesperitin and naringenin for lemon honey. Analysis of volatiles led to identification of odor active compounds such as azadirachtin for neem and zingiberene in ginger honey for the first time, whereas cis-rose oxide for litchi, 2-hydroxycineole for eucalyptus and methyl anthranilate & limonene diol for lemon honey as per previous studies which were well correlated with PCA of phenolics and volatiles.
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U2 - 10.1016/j.foodres.2018.02.017
DO - 10.1016/j.foodres.2018.02.017
M3 - Article
C2 - 29580480
AN - SCOPUS:85042129107
VL - 107
SP - 216
EP - 226
JO - Food Research International
JF - Food Research International
SN - 0963-9969
ER -