2018
DOI: 10.1007/s00266-018-1144-8
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Comparative Study of UMA Jeunesse Classic® and UMA Jeunesse Ultra®

Abstract: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

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Cited by 6 publications
(11 citation statements)
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“…64,65 Moreover, it has been previously demonstrated that the direct contact of a photocatalyst with the bacterial cell walls is a key factor to enhance the antimicrobial photoactivity against pathogenic microorganisms. 66,67 To shed more light on the interaction of the BiVO 4 micromotors with yeast cells, SEM images were taken after the fungicidal treatment. It can be observed that even after cell-damaging, the yeast cells remained attached to the surface of the BiVO 4 micromotors, showing their high affinity toward the surface of the micromotors (Figure 6D).…”
Section: Resultsmentioning
confidence: 99%
“…64,65 Moreover, it has been previously demonstrated that the direct contact of a photocatalyst with the bacterial cell walls is a key factor to enhance the antimicrobial photoactivity against pathogenic microorganisms. 66,67 To shed more light on the interaction of the BiVO 4 micromotors with yeast cells, SEM images were taken after the fungicidal treatment. It can be observed that even after cell-damaging, the yeast cells remained attached to the surface of the BiVO 4 micromotors, showing their high affinity toward the surface of the micromotors (Figure 6D).…”
Section: Resultsmentioning
confidence: 99%
“…Recently, BV has been drawn great attation in biological applications. The BV composite material exhibited excellent potential for inactivation of Escherichia coli [18][19][20]. These works provided evidence about the positive effects of the BV nanomaterials on microbiome.…”
Section: Introductionmentioning
confidence: 68%
“…Statistical-based optimization, such as the response surface method (RSM), is a composition of statistical and mathematical techniques for empirically building a model. It is a well-known and current approach for constructing approximation models based on experimental observations [140][141][142]. A newer approach is the use of artificial neural networks (ANNs).…”
Section: Statistical-based Optimization Compared To One-at-a-time Approachmentioning
confidence: 99%