Wild honeys in Indonesia are still widely believed to be good for health with high economic value. This honey is naturally produced by Apisdorsata bee. In this study, authentication analysis by classification and discrimination of attenuated total reflectance-fourier infrared spectroscopy (ATR-FTIR) spectra was conducted on several wild honeys from various places in Indonesia (n ¼ 186) which then compared to adulterated honey contained commercial sugars of aren (Arenga pinnata), coconut, and cane sugar at 10-50% concentration (n ¼ 57). Combination of spectra measurement at 4,000-650 cm À1 with Chemometric technique by several multivariate analyses resulted in visualization of honey grouping, classification, and regression model that differentiate these honeys, both partial and overall. Principle component analysis multivariate analysis was able to visualize the differentiation of adulterated honey from the authentic ones. Discriminant analysis, a supervised classification technique, was used to differentiate the fake from the authentic honey among those from various origins at wave number range of 4000-800 cm À1 with performance index of 91,8, 90.32-100% sensitivity, and 95. 70-100% specificity. Partial least-squares analysis was used to build a model provided quantitative results of commercial sugars content in honey allegedly added during adulteration. Authentic honeys had commercial sugars content less than 10% with R 2 of aren, coconut, and cane sugar of 0.9995, 0.9980 and 0.9998, respectively, with their predictive R 2 values of 0.9977, 0.9983 and 0.9946, respectively.

Several wild honey samples collected from seven different regions in Indonesia were investigated to determine their total phenolic content, flavonoid content, and free radical scavenging activity by analyzing the 1,1-diphenyl-2-picrylhydrazyl (DDPH) radical and phenolic profile. Rutin, (+)-catechin, ferulic acid, and galangin were found to be the major phenolic compounds of Indonesia wild honey. The total phenolic content significantly correlated with the total flavonoid content (p=0.000) and the percentage of DPPH radical scavenging activity (p=0.000). Results indicated that there are different polyphenol profiles among the different regions.

Honey is a natural food derived from flowers nectar that has many health benefits. This reason made honey become one of category food product that has a risk to be adulterated because of economically motivation. This study was conducted for characterization and authentication of Indonesia wild honey (IWH) collected from seven geographical regions (Sumatra, Bangka Belitung, Java, Kalimantan, Sulawesi, West Nusa Tenggara, and East Nusa Tenggara) and harvested during 2016–2018 based on physicochemical parameters, sugar content, minerals, and antioxidant components. The study showed that the result differs widely among the type of honey. IWH has a moisture content between 16.52- 33.41%, a pH value between 3.00 to 4.65 and color characteristic ranged from pale yellow to dark brown. All samples contain the highest amount in potassium, but several minerals found in the specific region. Evaluation of authenticity from sugar content data set by principal component analysis (PCA) and Linear Discriminant Analysis (LDA) revealed that the authentic and adulterated honey samples could be differentiated with a 95.5% accuracy. The honey samples were classified on their botanical and geographical origin using the antioxidant properties, and results of PCA and LDA demonstrated that the antioxidant parameters can provide adequate information to allow classification of the various types of IWH samples collected from different geographical regions with accuracy 80-100% for Bangka Belitung, Sulawesi, Kalimantan, West Nusa Tenggara, East Nusa Tenggara and Java island