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Methylmercury has been generally known as a toxic heavy metal for both human and environment. Bacterial-based bioremediation of heavy metal is suggested as an ecofriendly and low-cost bioremediation process. There was limited information regarding the role of lactic acid bacteria (LAB) as detoxification agent for methylmercury addressed for human body. West Sekotong, West Lombok, Indonesia, is one of the newly developed artisanal and small-scale gold mining site with high mercury contamination level. This present study was aimed to isolate the human origin methylmercury-resistant LAB and further evaluate their ability to absorb methylmercury. Methylmercury absorption assay was conducted in broth media. The remaining and absorbed methylmercury was measured using the gas chromatography flame ionization detector. A total of 56 methylmercury-resistant LAB isolates were isolated from 37 feces and 19 breast milk samples from 19 volunteers in West Sekotong. Of them, 10 isolates were further selected based on several basic probiotic characteristics and subjected to methylmercury removal assay. The selected isolates showed different methylmercury absorption ability ranged between 17.375 and 51.597 μg/g of wet mass of cell after incubated for 24 hours. Two isolates from feces showing the best removal activity were identified as Enterococcus durans and one isolates from breast milk as Enterococcus faecium based on the sequences of 16s rDNA.

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 = 186) which then compared to adulterated honey contained commercial sugars of aren (Arenga pinnata), coconut, and cane sugar at 10–50% concentration (n = 57). Combination of spectra measurement at 4,000-650 cm−1 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−1 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 R2 of aren, coconut, and cane sugar of 0.9995, 0.9980 and 0.9998, respectively, with their predictive R2 values of 0.9977, 0.9983 and 0.9946, respectively., Food science, Food analysis, Wild honey, ATR-FTIR, Authenticity, Sugar, Chemometrics.