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Original Articles

Aroma features of honey measured by sensory evaluation, gas chromatography-mass spectrometry, and electronic nose

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Pages 1755-1768 | Received 03 May 2016, Accepted 13 Jul 2016, Published online: 06 Aug 2018

Figures & data

Table 1. The sensory evaluation results (Mean ± standard deviation) of five different honey.

Table 2. Volatile compounds in the five honey samples (mg kg−1, n = 3) identified by SPME/GC-MS.

Figure 1. TIC profiles for five honey samples fractionated by SPME using DVB/CAR/PDMS fiber coating.

Figure 1. TIC profiles for five honey samples fractionated by SPME using DVB/CAR/PDMS fiber coating.

Figure 2. PLSR correlation loading plot of sensory attributes and volatile compounds identified by GC-MS from different honey samples. The model was derived from volatile compounds data as the X-matrix and sensory attributes and honey samples as the Y-matrix. Elipses represent R2 = 0.5 and 1.0, respectively.

Figure 2. PLSR correlation loading plot of sensory attributes and volatile compounds identified by GC-MS from different honey samples. The model was derived from volatile compounds data as the X-matrix and sensory attributes and honey samples as the Y-matrix. Elipses represent R2 = 0.5 and 1.0, respectively.

Figure 3. The radar fingerprints of five different honey samples. ▲ = H3; ■ = H2; ● = H5; ⋆ = H1; - = H4.

Figure 3. The radar fingerprints of five different honey samples. ▲ = H3; ■ = H2; ● = H5; ⋆ = H1; - = H4.

Figure 4. PLSR correlations loading plot of sensory attribute and electronic nose sensors from five honey samples. The model was derived from electronic nose sensors as the X-matrix and sensory attributes as the Y-matrix. Ellipses represent R2=0.5 and 1.0, respectively.

Figure 4. PLSR correlations loading plot of sensory attribute and electronic nose sensors from five honey samples. The model was derived from electronic nose sensors as the X-matrix and sensory attributes as the Y-matrix. Ellipses represent R2=0.5 and 1.0, respectively.