Characterization of aminoglycoside antibiotics like ribostamycin is important due to the complex composition and common toxic impurities. Aerosol detectors are often employed for determination of ...these non-absorbent analytes. In this work, a robust and cost-effective method was developed for simultaneous detection of ribostamycin and its related substances using high-performance liquid chromatography (HPLC) with a relative new aerosol detector named nano-quantity analyte detector (NQAD). With the introduction of less toxic but more compatible ion-pairs pentafluoropropionic acid (PFPA) and trifluoroacetic acid (TFA) in the eluent, an optimized separation effect was achieved. Compared with the other two aerosol detectors namely ELSD (evaporative light scattering detector) and CAD (charged aerosol detector), method verification and quantitative detection results revealed that NQAD had higher sensitivity than ELSD with a 0.8 μg/mL limit of detection, as well as wider linear range (from 2 μg/mL to 1000 μg/mL) than both CAD (from 2 μg/mL to 200 μg/mL) and ELSD (from 8 μg/mL to 200 μg/mL) detector. The performance of NQAD helped to realize detection of ribostamycin and its impurities with significant concentration differences in a single run. With a cation suppressor to eliminate the ion-suppression caused by the ion-pairs in the eluent, the structure of nine impurities in ribostamycin sample was characterized by liquid chromatography-mass spectrum (LC-MS). Both external standard and area normalization calculation were investigated, and NQAD obtained more accurate results due to its full-range linear response-to-concentration relationship, providing an alternative for routine quality control of multi analyte systems.
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•An alternative simple approach for determination of aminoglycoside antibiotics like ribostamycin.•A routine HPLC method for quality control of polar molecules without strong UV absorbing chromophore or fluorophore.•Simultaneous detection of compositions with a wide range of concentrations using the NQAD detector.•Excellent quantification ability in both external standard and area normalization method with the help of NQAD detector.
Throughout most of history, medicinal plants and their active metabolites have represented a valuable source of compounds used to prevent and to cure several diseases. Interest in natural compounds ...is still high as they represent a source of novel biologically/pharmacologically active compounds. Due to their high structural diversity and complexity, they are interesting structural scaffolds that can offer promising candidates for the study of new drugs, functional foods, and food additives.
Plant extracts are a highly complex mixture of compounds and qualitative and quantitative analyses are necessary to ensure their quality. Furthermore, greener methods of extraction and analysis are needed today.
This book is based on articles submitted for publication in the Special Issue entitled “Qualitative and Quantitative Analysis of Bioactive Natural Products” that collected original research and reviews on these topics.
•Novel 2D-LC method for the analysis of oligonucleotides.•Optimised size and sequence based HPLC oligonucleotides separations.•Orthogonal workflow was developed using IP RP HPLC coupled with SAX ...HPLC.•2D-LC resulted in increased peak capacity, a reduction in co-elution events and improved resolution.
Oligonucleotides are commonly analysed using one dimensional chromatography (1D-LC) to resolve and characterise manufacturing impurities, structural isomers and (in respect to emerging oligonucleotide therapeutics) drug substance and drug product. Due to low selectivity and co-elution of closely related oligonucleotides using 1D-LC, analyte resolution is challenged. This leads to the requirement for improved analytical methods. Multidimensional chromatography has demonstrated utility in a range of applications as it increases peak capacity using orthogonal separations, however there are limited studies demonstrating the 2D-LC analysis of closely related oligonucleotides. In this study we optimised OGN size and sequence based separations using a variety of 1D-LC methods and coupled these orthogonal modes of chromatography within a 2D-LC workflow. Theoretical 2D-LC workflows were evaluated for optimal orthogonality using the minimum convex hull metric. The most orthogonal workflow identified in this study was ion-pair reversed phase using tributylammonium acetate (IP-RP-TBuAA) coupled with strong anion exchange in conjunction with sodium perchlorate (SAX-NaClO4) at high mobile phase pH. We developed a heart-cut (IP-RP-TBuAA)-(SAX-NaClO4) 2D-LC method for analysis of closely related size and sequence variant OGNs and OGN manufacturing impurities. The 2D-LC method resulted in an increased orthogonality and a reduction in co-elution (or close elution). Application of a UV based reference mapping strategy in conjunction with the 2D-LC method demonstrated a reduction in analytical complexity by reducing the reliance on mass based detection methods.
Background and Objectives
Minor species of wheat, including einkorn (Ei), emmer (Em), and spelt (Sp), are believed to have different gluten compositions compared to common wheat (CW). Given the ...limited research on these resources, and as a result of a collaboration with a collective of farmers, we aimed to provide insights into their gluten compositions. We focused on varieties readily accessible to farmers and bakers within the region of Lyon, France.
Findings
We compared gluten compositions in 31 wheat varieties, revealing significantly lower glutenin and protein aggregate contents in Ei and Em than in CW. Similar trends, though milder, were observed for Sp. Additionally, we observed intra‐species variability, especially for Em, and identified varieties within each species with noteworthy protein profiles.
Conclusions
Each species showed characteristic protein contents, yet with intraspecies variability. Utilizing an innovative approach to analyze the full information provided by chromatograms, we successfully identified varieties with unusual characteristics.
Significance and Novelty
The specific protein compositions of Ei and Em, and to a lower extent Sp, may impact their processability and digestibility. Our study also highlights that considering complete chromatographic profiles can reveal differences that remain unnoticed when using traditional analytical approaches.
Sustainable Development Goal 12 and target 12.3 set by the United Nations aims to reduce”food waste” per capita global for 50% losses by 2030. Databases such as the PhInd could help us to achieve set ...goals via mapping the potential ways for valorization of polyphenols from the agri-food by-products and waste. Fruit by-products (73.2% of the PhInd entries) are the most studied sources of polyphenols and future studies might be more focused on vegetables. More than half (55.8%) of entries were evaluated polyphenols in samples created in laboratory. These samples could have significantly different composition from industrial samples. Solid-liquid extraction (53.5%) and solvents like water, ethanol and aqueous ethanol (51.5%) were the most often used for extraction of polyphenols. Green solvents as NADES (0.4%) are rarely used in studies and should be more explored.
•Fruit by-products and waste are 73.2% of PhInd entries•Data for waste from other plant classes (vegetables, nut, cereals) are lacking•Samples from industrial setting should be used more (44% entries) for valorization•Extraction of polyphenols with NADES (only 0.4%) needs further elaboration
•A fast method for the simultaneous determination of 11 additives.•HPLC coupled with DAD and MS/MS methods are used.•Good recoveries in the range of 75.2–113.8%.•Suitable for the routine monitoring ...analysis of 11 additives.
In this study, an efficient, fast and sensitive method for the simultaneous determination of eleven synthetic color additives (Allura red, Amaranth, Azo rubine, Brilliant blue, Erythrosine, Indigotine, Ponceau 4R, New red, Sunset yellow, Quinoline yellow and Tartrazine) in flour and meat foodstuffs is developed and validated using HPLC coupled with DAD and MS/MS. The color additives were extracted with ammonia–methanol and was further purified with SPE procedure using Strata-AW column in order to reduce matrix interference. This HPLC–DAD method is intended for a comprehensive survey of color additives in foods. HPLC–MS/MS method was used as the further confirmation and identification. Validation data showed the good recoveries in the range of 75.2–113.8%, with relative standard deviations less than 15%. These methods are suitable for the routine monitoring analysis of eleven synthetic color additives due to its sensitivity, reasonable time and cost.
•Sample preparation techniques coupled with high-performance liquid chromatography and a suitable detector.•Combining sample preparation techniques to achieve satisfactory extraction efficiency, ...cleanup as well as excellent preconcentration capacity.•Validating an analytical method to ensure the quality and reliability of any data produced is a fundamental step in any measurement's life-cycle.•Sample preparation techniques future.
This review article compares and contrasts sample preparation techniques coupled with high-performance liquid chromatography (HPLC) and describes applications developed in biomedical, forensics, and environmental/industrial hygiene in the last two decades. The proper sample preparation technique can offer valued data for a targeted application when coupled to HPLC and a suitable detector. Improvements in sample preparation techniques in the last two decades have resulted in efficient extraction, cleanup, and preconcentration in a single step, thus providing a pathway to tackle complex matrix applications. Applications such as biological therapeutics, proteomics, lipidomics, metabolomics, environmental/industrial hygiene, forensics, glycan cleanup, etc., have been significantly enhanced due to improved sample preparation techniques. This review looks at the early sample preparation techniques. Further, it describes eight sample preparation technique coupled to HPLC that has gained prominence in the last two decades. They are (1) solid-phase extraction (SPE), (2) liquid-liquid extraction (LLE), (3) gel permeation chromatography (GPC), (4) Quick Easy Cheap Effective Rugged, Safe (QuEChERS), (5) solid-phase microextraction (SPME), (6) ultrasonic-assisted solvent extraction (UASE), and (7) microwave-assisted solvent extraction (MWASE). SPE, LLE, GPC, QuEChERS, and SPME can be used offline and online with HPLC. UASE and MWASE can be used offline with HPLC but have also been combined with the online automated techniques of SPE, LLE, GPC, or QuEChERS for targeted analysis. Three application areas of biomedical, forensics, and environmental/industrial hygiene are reviewed for the eight sample preparation techniques. Three hundred and twenty references on the eight sample preparation techniques published over the last two decades (2001–2021) are provided. Other older references were included to illustrate the historical development of sample preparation techniques.
Phospholipids have gained increased interest in the past decades because of their numerous health benefits. Due to the amphiphilic nature of phospholipids, their quantitative analysis requires ...lengthy procedures. Hydrophilic interaction liquid chromatography (HILIC) with UV detector was used in the present study to effectively separate the major classes of phospholipids found in milk. Phospholipids were effectively separated on a diol-HILIC column using a gradient elution method using acetonitrile and 10 mM ammonium acetate (pH 5 adjusted using acetic acid). Good chromatographic separation of major phospholipid classes: phosphatidylethanolamine (PE), phosphatidylcholine (PC), and sphingomyelin (SM) was possible at 203 nm. The developed method was validated for both phospholipid standards and milk fat. The correlation coefficient for phospholipids using a linear regression equation for 1–50 μg/mL standard solutions and milk fat were >0.99 and >0.98, respectively. The relative standard deviation for intra-day and inter-day repeatability of phospholipids were less than 6 %, and recoveries fell within the 75-120% range. The developed method was applied for the quantification of phospholipids (PC, PE, and SM) in milk from indigenous and crossbred cattle. Gir, Sahiwal, and Karan Fries cows had no significant difference in PE and PC, while Gir cows exhibited significantly higher levels of SM.
•A novel HILIC-HPLC method quantify major phospholipids in 15 min at 203 nm.•The method's robustness is evaluated by deliberately changing analytical conditions.•Developed HILIC-HPLC method was validated as per AOAC guidelines.•No significant difference in PC and PE among Gir, Sahiwal, and Karan Fries cows.•Gir cows have significantly higher SM levels (p < 0.05).
•Easy, fast and inexpensive sample preparation method for phenolic compounds analysis in honey.•Accurate and sensitive quantification by HPLC–UV and unambiguous determination by HPLC–HRMS.•Extraction ...efficiency comparable to the conventional method.•Suitable technique for the analysis of other honey phytochemicals.
Honey is a valuable functional food rich in phenolic compounds with a broad spectrum of biological activities. Analysis of the phenolic compounds in honey is a very promising tool for the quality control, the authentication and characterization of botanical origin, and the nutraceutical research. This work describes a novel approach for the rapid analysis of five phenolic acids and 10 flavonoids in honey. Phenolic compounds were rapidly extracted and concentrated from diluted honey by dispersive liquid–liquid microextraction (DLLME) and then analyzed using high performance liquid chromatography with UV absorbance detection (HPLC–UV). Some important parameters, such as the nature and volume of extraction and dispersive solvents, pH and salt effect were carefully investigated and optimized to achieve the best extraction efficiency. Under the optimal conditions, an exhaustive extraction for twelve of the investigated analytes (recoveries >70%), with a precision (RSD<10%) highly acceptable for complex matrices, and detection and quantification limits at ppb levels (1.4–12 and 4.7–40ngg−1, respectively) were attained. The proposed method, compared with the most widely used method in the analysis of phenolic compounds in honey, provided similar or higher extraction efficiency, except in the case of the most hydrophilic phenolic acids. The capability of DLLME to the extraction of other honey phytochemicals, such as abscisic acid, was also demonstrated. The main advantages of developed method are the simplicity of operation, the rapidity to achieve a very high sample throughput and low cost.
