Rapid and Economic Determination of 13 Steviol Glycosides in Market-Available Food, Dietary Supplements, and Ingredients: Single-Laboratory Validation of an HPLC Method

Statistical Modeling of Within-Laboratory Precision Using a Hierarchical Bayesian Approach

BACKGROUND

Reproducibility has been well studied in the field of food analysis; the RSD is said to follow a Horwitz curve with certain exceptions. However, little systematic research has been done on predicting repeatability or intermediate precision.

OBJECTIVE

We developed a regression method to estimate within-laboratory SDs using hierarchical Bayesian modeling and analyzing duplicate measurement data obtained from actual laboratory tests.

METHODS

The Hamiltonian Monte Carlo method was employed and implemented using R with Stan. The basic structure of the statistical model was assumed to be a Chi-squared distribution, the fixed effect of the predictor was assumed to be a nonlinear function with a constant term and a concentration-dependent term, and the random effects were assumed to follow a lognormal distribution as a hierarchical prior.

RESULTS

By analyzing over 300 instances, we obtained regression results that fit well with the assumed model, except for moisture, which was a method-defined analyte. The developed method applies to a wide variety of analytes measured using general principles, including spectroscopy, GC, and HPLC. Although the estimated precisions were within the Horwitz ratio criteria for repeatability, some cases using high-sensitivity detectors, such as mass spectrometers, showed SDs below that range.

CONCLUSION

We propose utilizing the within-laboratory precision predicted by the model established in this study for internal QC and measurement uncertainty estimation without considering sample matrices.

HIGHLIGHTS

Performing statistical modeling on data from double analysis, which is conducted as a part of internal QCs, will simplify the estimation of the precision that fits each analytical system in a laboratory.

Single-Molecule Identification and Quantification of Steviol Glycosides with a Deep Learning-Powered Nanopore Sensor

Steviol glycosides (SGs) are a class of high-potency noncalorie natural sweeteners made up of a common diterpenoid core and varying glycans. Thus, the diversity of glycans in composition, linkage, and isomerism results in the tremendous structural complexity of the SG family, which poses challenges for the precise identification and leads to the fact that SGs are frequently used in mixtures and their variances in biological activity remain largely unexplored. Here we show that a wild-type aerolysin nanopore can detect and discriminate diverse SG species through the modulable electro-osmotic flow effect at varied applied voltages. At low voltages, the neutral SG molecule was drawn and stuck in the pore entrance due to an energy barrier around R220 sites. The ensuing binding events enable the identification of the majority of SG species. Increasing the voltage can break the barrier and cause translocation events, allowing for the unambiguous identification of several pairs of SGs differing by only one hydroxyl group through recognition accumulation from multiple sensing regions and sites. Based on nanopore data of 15 SGs, a deep learning-based artificial intelligence (AI) model was created to process the individual blockage events, achieving the rapid, automated, and precise single-molecule identification and quantification of SGs in real samples. This work highlights the value of nanopore sensing for precise structural analysis of complex glycans-containing glycosides, as well as the potential for sensitive and rapid quality assurance analysis of glycoside products with the use of AI.

Eco-Efficient Quantification of Glucosinolates in Camelina Seed, Oil, and Defatted Meal: Optimization, Development, and Validation of a UPLC-DAD Method

Camelina sativa (camelina) seed, oil, and defatted meal are widely used for food, animal feed, and other purposes. The accurate quantification of camelina glucosinolates is critical as their functionalities are highly dose-dependent. The classic quantification of glucosinolates in camelina products involves tedious desulfation steps, toxic reagents, and a lengthy instrument time because glucosinolates are easy to degrade and subject to interference in the liquid chromatography. Thus, we developed and validated an eco-efficient UPLC-DAD method for determining glucoarabin (GS9), glucocamelinin (GS10), and homoglucocamelinin (GS11) in camelina seed, oil, and defatted meal. Glucosinolates were extracted using 80% cold methanol to denature myrosinase, and were separated by an HSS T3 column without desulfation. Glucotropaeolin was used as an internal standard to track analyte degradation and loss during sample preparation. The method has shown high precision (relative standard deviations ranging from 4.12% to 6.54%) and accuracy (>94.4% spike recovery) for GS9-11, and all validation parameters passed the industry-consensus AOAC Appendix F criteria. To our best knowledge, this is the first eco-efficient and low-cost analytical method that is validated against strict AOAC criteria for the quantification of intact camelina glucosinolates. The method is suitable to be adopted as a new industrial testing standard to assist in the quality control of camelina products.

Label compliance for ingredient verification: regulations, approaches, and trends for testing botanical products marketed for "immune health" in the United States

During the COVID-19 pandemic, the botanical product market saw a consumer interest increase in immune health supplements. While data are currently insufficient to support public health guidance for using foods and dietary supplements to prevent or treat COVID-19 and other immune disorders, consumer surveys indicate that immune support is the second-most cited reason for supplement use in the United States. Meanwhile, consumers showed increased attention to dietary supplement ingredient labels, especially concerning authenticity and ingredient claims. Top-selling botanical ingredients such as elderberry, turmeric, and functional mushrooms have been increasingly marketed toward consumers to promote immune health, but these popular products succumb to adulteration with inaccurate labeling due to the intentional or unintentional addition of lower grade ingredients, non-target plants, and synthetic compounds, partially due to pandemic-related supply chain issues. This review highlights the regulatory requirements and recommendations for analytical approaches, including chromatography, spectroscopy, and DNA approaches for ingredient claim verification. Demonstrating elderberry, turmeric, and functional mushrooms as examples, this review aims to provide industrial professionals and scientists an overview of current United States regulations, testing approaches, and trends for label compliance verification to ensure the safety of botanical products marketed for "immune health."

Analytical strategies to determine the labelling accuracy and economically-motivated adulteration of "natural" dietary supplements in the marketplace: Turmeric case study

Turmeric has faced authenticity issues as instances of economic-adulterations to reduce the cost. We used carbon-14 and HPLC analyses as complementary methods to verify "all-natural" label claims of commercial dietary supplements containing turmeric ingredients. A high percentage of curcumin-to-curcuminoids value was used as an indicator to imply the presence of synthetic curcumin. However, using the HPLC method alone did not provide direct evidence of curcuminoids' natural origin, whereas using only the carbon-14 method cannot test for potency label claims and determine which constituent(s) contain ¹⁴C radiocarbon. By analyzing results from both methods, a significant correlation between the percentage of curcumin-to-curcuminoids and % biobased carbon (Pearson's r = -0.875, p < 0.001) indicated that synthetic curcumin was greatly attributed to determined synthetic ingredients. Only four out of the 14 samples analyzed supported authentic label claims. This orthogonal testing strategy showed its potential for the quality control of turmeric products.

UHPLC coupled with charged aerosol detector for rapid separation of steviol glycosides in commercial sweeteners and extract of Stevia rebaudiana

Natural sweeteners are in high demand as a part of a healthy lifestyle. Among them, sweeteners with decreased caloric value and suitability for diabetes patients are most requested. Extension in their consumption extends the need for their quality control. A fast gradient UHPLC coupled with charged aerosol detection enabling quantitation of stevioside, rebaudioside A-D, and steviolbioside in commercial sweeteners and Stevia rebaudiana plant extracts has been developed. The method was developed to achieve high efficiency, simplicity, versatility, and low solvent consumption. All steviol glycosides were baseline-separated in less than 4 min with a total run time of 7 min. Buffer-free eluents were used in the separations and only 2.45 mL solvent were needed per analysis. The Luna Omega Polar column featuring polar modification of the C18 stationary phase was employed with mobile phases composed of water and acetonitrile for the excellent separation of polar steviol glycosides. The flow rate of the mobile phase 0.35 mL/min, column temperature 50 °C and injection volume 2 µL were used. Critical pair of glycosides, stevioside and rebaudioside A, were baseline separated with a resolution of 2.41. The universal charged aerosol detector allowed quantitation of steviol glycosides with a limit of detection and quantitation 0.15 and 0.5 µg/mL, respectively. Method intra-day precision was less than 2% (RSD), and the recovery was 89.6-105.0% and 93.8-111.4% for plant material and sweetener tablets, respectively. The quantity of steviol glycosides in three out of four commercial sweeteners was 3.0-12.3% higher than declared. The content was about 12.4% less than declared in one sample. But the difference from the labeled content corresponded to trueness and precision of the developed method together with variability of sweeteners production. The most abundant glycoside detected in sweeteners was stevioside followed by rebaudioside A. A leaf-to-stem ratio describing the dominant accumulation of steviol glycosides in leaves affected the differences in the amount of steviol glycosides among plant samples.

The preparation of optically active epineoclausenamide and enantiomeric separation of its racemate

We synthesized the optically active epineoclausenamide by utilizing chiral reagents, such as R-α-methylbenzylamine and S-α-methylbenzylamine, for the resolution of the intermediate (trans-3-phenyl-oxiranecarboxylic acid 12), followed by amide exchange, cyclization, and reduction, unlike previously reported methods. The Meerwein-Ponndorf-Verley reduction was used to asymmetrically reduce neoclausenamidone. A plausible reduction mechanism of this method was elucidated. Thereafter, high-performance liquid chromatography (HPLC) was investigated for the resolution of the epineoclausenamide enantiomers. HPLC was also used to determine the optical purity of these isomers. Two chiral stationary phases (CSPs) for separating the enantiomers were compared. Different mobile phase compositions were tested at 298.15 K. The results showed that the best separation was obtained when the mobile phase was composed of n-hexane and isopropanol (IPA) (75/25, v/v), the racemate was separated on a Chiralcel OJ-H column, and the flow rate was 1.0 mL/min at a wavelength of 210 nm and a temperature of 25°C. The enantiomeric ratio (e.r.) values of both the synthetic (-)-epineoclausenamide and (+)-epineoclausenamide were 1.3(+):98.7(-) and 99.3(+):0.7(-), respectively. In this study, a new synthetic route was designed with a yield of 12.3-14.1%, and a quick (8 min) effective separation method was obtained. This provides basis for pharmacological research and quality control of clausenamide analogues.