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Sugar inversion analysis


Sugar inversion increases solution density and modifi es Brix readings. The degree of inversion enables back- calculation of inversion-corrected values. (density fresh and Brix fresh, as shown in Figure 2)


These parameters represent the product before inversion occurs.


Correlations observed:


• Density increase ranged from 0.000186 g/cm³ at 17.5% inversion to 0.002425 g/cm³ at ~88% inversion


• Brix shift ranged from 0.05 °Brix at low inversion to 0.56 °Brix at ~78.5% inversion


This demonstrates a quantifi able relationship between inversion progress and analytical deviations in uncorrected sugar determination. As sugar inversion happens spontaneously in beverages containing sucrose, proving that the beverage was produced within specifi cations is complicated when analysing a beverage towards the end of its shelf life.


Discussion


Maintaining accurate alcohol and sugar specifi cations is essential for product consistency, regulatory compliance, and consumer acceptance. The complexities introduced by sucrose inversion and the growing use of HFCS make standard QC measurements less comparable with results from analysing products towards the end of their shelf life without specialised correction models.


The study confi rms that RTD-specifi c alcohol correction models signifi cantly improve accuracy relative to distillation. In addition, HFCS-tailored models are necessary in markets where fructose-rich sweeteners are common. It was found that inversion-related density changes are substantial enough to mislead quality control assessments if not corrected.


The inclusion of the newly developed parameters enables meaningful comparison of production samples with aged retention samples – an important advantage for shelf-life monitoring, avoiding product recalls, and legal verifi cation.


Figure 1: Samples analysed with the RTD measurement system comparing uncorrected and newly developed, corrected data. The improvement of the chemometric model for sugar inversion compensation enhances the accuracy of the alcohol measurement compared to reference data generated by distillation.


The measurement system includes parameter sets designed specifi cally for RTD matrices, such as corrected alcohol content, degree of inversion, and inversion-corrected (“fresh”) density and sugar content. Chemometric models were thus created based on density, sound velocity, and NIR absorption at 1,180 nm to 1,200 nm. In addition, integrated compensation of dissolved CO2


Figure 2: Changing density and apparent sugar content over time as inversion progresses.


, which increases the density, was applied.


These parameters ensure that alcohol and extract values are corrected for the respective sweetener type and inversion state.


Results Alcohol determination


Uncorrected alcohol values from the alcohol meter were compared with distillation results and RTD-specifi c corrected values (Figure 1).


• Alcohol content across samples ranged from 4% v/v to 11% v/v


• Repeatability of ethanol determination was < 0.01% v/v


• Uncorrected measurements deviated from reference analysis by up to 0.2% v/v alcohol content


• Application of RTD-specifi c correction reduced deviations by up to 96% in the best case


One sample exhibited an increased deviation post- correction. Based on region of origin (Canada/USA) and improved alignment after applying the HFCS-55 correction, it is likely that the beverage used HFCS-55 despite not being labelled as such.


The measurement system with the newly developed chemometric models showed excellent agreement with the reference method, limiting the difference to 0.033% v/v on average. This bias, compared to legal labelling limits of 0.5% v/v in most countries, is extremely low and can partially be attributed to the accuracy of the reference data.


Conclusion


This evaluation demonstrates that a dedicated RTD measurement system provides a reliable, high-precision method for assessing alcohol content, sugar concentration, and sugar inversion in a wide range of alcoholic RTDs.


Key benefi ts include: • Signifi cant reduction of alcohol measurement deviation from distillation references • High repeatability for ethanol and sugar parameters • Accurate handling of both sucrose- and HFCS-based formulations • Ability to quantify inversion effects and determine a sample’s “fresh” analytical state These capabilities support robust quality control, improved production effi ciency, and compliance with regulatory requirements in the rapidly evolving RTD beverage market.


References


1. Ready to Drink (RTD) Alcoholic Beverages Global Market Report 2025, https://www.thebusinessresearchcompany.com/report/ready-to-drink-rtd-alcoholic-beverages-global-market-report


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