Recent research indicates the great potential of spontaneous fermentation microbiota for enhancing the aromatic complexity of fruit wines. To evaluate the impact of Saccharomyces cerevisiae inoculum size on fermentation performance and flavor formation in a semi-spontaneous fermentation system, this study systematically compared inoculated fermentation (IF), spontaneous fermentation (SF), and semi-spontaneous fermentation with graded Saccharomyces cerevisiae inoculation levels (SF + 20%, SF + 50%, and SF + 100% of the standard inoculum). Physicochemical properties, organic acids, volatile compounds, microbial communities, and sensory characteristics were comprehensively analyzed. The results demonstrated that increasing the S. cerevisiae inoculum level significantly influenced the fermentation performance and flavor formation. Compared with SF, the high-inoculum regimen (SF + 100%) effectively reduced acetic acid content from 3.93 g/L to 0.28 g/L, a level comparable to that of the IF group, thereby indicating effective control of acetic acid bacteria during fermentation. More importantly, this regimen retained a detectable fraction of indigenous microbiota, which may have contributed to the accumulation of phenolic compounds and key aroma-active esters (e.g., ethyl hexanoate, isoamyl acetate) and terpenoids (e.g., geraniol, damascenone). Relative odor activity values (ROAV) analysis revealed that this treatment exhibited the greatest abundance and contribution of aroma-active compounds contributing to fruity and floral characteristics. Electronic nose data clearly discriminated among the five fermentation protocols, and sensory evaluation confirmed that the SF + 100% group achieved the highest scores for fruity aroma, ester aroma, and overall acceptability. In summary, semi-spontaneous fermentation with a high S. cerevisiae inoculum level (1.0 × 107 CFU/mL) achieved a favorable balance between fermentation control and aroma complexity. These findings provide a practical strategy for optimizing controlled spontaneous fermentation and improving the quality of specialty fruit wines.
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| Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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| Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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| Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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| Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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| Site | Modification | Modifier | Source | Reference |
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| Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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| Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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| Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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| Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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