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Use of random forest analysis to quantify the importance of the structural characteristics of beta-glucans for prebiotic development

FOOD HYDROCOLLOIDS(2020)

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Abstract
Beta-glucans as food hydrocolloids have demonstrated prebiotic potential recently. Novel hydrocolloid-based prebiotics could be developed by structural manipulation of existing carbohydrate candidates using different physical, chemical and/or biological approaches. However, there are no guidelines on choosing the most promising structural feature as the starting point(s) for modification. We performed a parallel in vitro fermentation of six native and carboxymethylated beta-glucans from mushroom, bacteria, seaweed and cereal against five probiotic bacteria, including bifidobacteria and lactobacillus, and determined their growth parameters including the lag phase, maximum growth rate, and maximum population increase. An unsupervised analysis pipeline was developed to elucidate the structure-property relationship of beta-glucans as prebiotic candidates and identified several chemical composition and structural features for modification to maximize their prebiotic potential. We adopted the random forest algorithm to quantify the relative importance of different composition and structural features in altering the three probiotic growth parameters. In terms of structural features, the desirable characteristics for prebiotic development are, in descending order of importance, low molecular weight, high water solubility, and no introduction of carboxymethyl functional group. Apart from structural features, we have identified the chemical composition as high purity, plays a significant importance in increasing the probiotic growth parameters, raising the relevance of including the purity in discussing the developmental cycle of prebiotic potential maximization. We suggest an integrated data alchemy approach including both machine learning and domain knowledge in making decision of choosing the promising starting point(s) and direction for modification of existing hydrocolloids in prebiotic research.
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Key words
Chemical composition,Structural characterization,Cyclic prebiotic potential maximization,Structure-property relationship,Machine learning,Data alchemy approach
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