Aerosol-based detectors for liquid chromatography

Direct Corona Charging: A New Strategy for Enhancing Sensitivity and Stability in Charged Aerosol Detection

The charged aerosol detector (CAD) is widely used for detecting nonvolatile compounds without UV absorption due to its high sensitivity, stability, and consistent response. However, the traditional plasma collision charging mode (PCCM) suffers from issues such as sample dilution, gas flow back-mixing, and disturbances, which reduce sensitivity and repeatability. To address these limitations, this study introduces the direct corona charging mode (DCCM), which eliminates the charging gas route by using a high-voltage corona needle to directly charge the dried aerosol. This approach avoids mixing collisions, simplifies the instrument structure, and reduces nitrogen consumption. Comparative analyses using samples like caffeine demonstrated that DCCM significantly improves sensitivity and stability over PCCM. The response under DCCM fits a quadratic curve with a correlation coefficient above 0.99 across 3 orders of magnitude. Direct injection of 22 analytes showed that DCCM achieved a peak area relative standard deviation below 10%, with better response consistency than PCCM. Gradient analysis of complex samples further confirmed DCCM's superior repeatability and sensitivity. Real-sample analysis highlighted DCCM-CAD's practical potential. In summary, DCCM enhances CAD performance, reduces costs, and simplifies design, paving the way for more efficient and reliable commercial CAD systems.

A Novel Derivatization-Free Approach for Analysis of (+)2-Aminobutanol and Ethambutol Hydrochloride in Tablets Preparation Using RP-HPLC-NQAD

A novel and rapid RP-HPLC coupled with nano quantity analyte detector (NQAD) method was developed for determination of ethambutol hydrochloride and (+)2-aminobutanol in drug products. NQAD is an aerosol-based detector that can be used for the direct detection of the substance lacking ultraviolet chromophores. The two highly polar analytes were separated on a C18 column with mobile phase consists of trifluoroacetic acid solution and methanol and detected with NQAD. A thorough investigation was conducted into the experimental and instrumental parameters, including the composition and ratio of mobile phase, the flow-rate of mobile phase, and nebulizer and evaporator temperature, to achieve the highest sensitivity of analytes. The method was validated as per ICH guidelines and proved to be specific, accurate, precise, linear, sensitive, and robust. The method showed adequate performance, with excellent sensitivity for limits of detection (LODs) of 5.6 and 9.8 ng for ethambutol and (+)2-aminobutanol (Impurity I), respectively. Good linearity was obtained for ethambutol and Impurity I in their concentration range both with an R2 value of 0.999. Overall, the method established in this study, utilizing a new detection technique, proved to be accurate and rapid and is applicable for directly detecting Impurity I and ethambutol in quality control.

A nitrogen-specific detector for high performance liquid chromatography

We describe a nitrogen-specific detector (NSD) for aqueous mobile phase-based high performance liquid chromatography (HPLC). It is based by means of total hydrophilic organic nitrogen detection. Separated analytes are photooxidized online and converted to nitrate, followed by an ultravilet absorbance detector. It features response dependant on the product of nitrogen number in the molecule and its molar concentration, no matter what is ultravilet-absorbing or not. The HPLC equipped with NSD can quantify nitrogen-containing analytes via a sole standard of potassium nitrate for calibration. This results in identical calibration curve for all nitrogen-containing analytes, obviating individual calibration. The limit of detection of NSD is 4.3 μM N/L, and its linear range is up to 4 mM N/L.

Advances in High-Temperature Interaction Chromatography of Polyolefins: A Tutorial on Solvent and Temperature Gradient

The advancement of high-temperature interaction chromatography (HT-IC) is a key milestone in polyolefin characterization. Temperature gradient interaction chromatography (HT-TGIC) and solvent gradient interaction chromatography (HT-SGIC) are the main separation methods. This Tutorial explains these methods, their historical uses, recent improvements, and suitable detectors for each technique.

A novel technique for trehalose and sucrose determination in therapeutic monoclonal antibodies using a high-performance liquid chromatography-evaporative light scattering detector

Sucrose and trehalose are commonly used excipients in therapeutic monoclonal antibodies that play a pivotal role in ensuring the safety and stability of drugs. Though it is necessary to control the concentrations of these substances during the quality control of their release, there is currently no comprehensive method for simultaneously determining sucrose and trehalose concentrations. Herein, we established a high-performance liquid chromatography-evaporative light scattering detector (HPLC-ELSD) method and validated it in accordance with the International Council for Harmonization Q2 guidelines. This method utilized the Poroshell 120 HILIC-Z chromatographic column and effectively separated sucrose and trehalose with a detection limit of 0.001 mg/mL. The accuracy recovery rate was within a range of 90%-110 %, and the precision relative standard deviations were all less than 5.0 % (n = 6). The method thus demonstrated good repeatability and linearity, making it suitable for determining the sucrose and trehalose concentrations in therapeutic monoclonal antibodies.

Separation of polyphenols by HILIC methods with diode array detection, charged aerosol detection and mass spectrometry: Application to grapevine extracts rich in stilbenoids

The characterization of plant extracts is usually accomplished by reverse-phase liquid chromatography, but the development of new complementary approaches, such as HILIC, offers an orthogonal method. In this study, five HILIC stationary phases were evaluated to assess their ability to retain polyphenols. They were selected to cover the main different HILIC mechanisms: bare silica; silica with ethylene bridge; neutral amide; amino; zwitterionic. A total of 31 polyphenol standards were used for the screening, including 9 stilbenes, 8 flavonoids, 6 anthocyanins, and 8 phenolic acids. Three different detections were tested: diode array detector, charged aerosol detector and mass spectrometry. Results indicated that silica supports were not suitable for retaining polyphenols, with no or low retention observed except for anthocyanins. The effectiveness of stationary phases in retention of phenolics following the order related to increased retention: zwitterionic, amide, and amino. The choice of mobile phase also influenced retention. Mobile phases containing TFA as pH modifier limited retention, while formic acid was found to be more effective for polyphenol retention. Ammonium buffers also improved retention but often compromised peak shape. pH changes mainly impacted ionizable compounds, such as phenolic acids, by increasing their retention when they were ionized. DAD was wellsuited for detecting polyphenols that possess aromatic rings, though peak wavelengths depend on the structures of the polyphenols. CAD, while less sensitive than DAD and MS, provided an almost similar response for structurally related compounds, even with gradient elution. MS was the preferred detector for quantification when resolution between compounds was challenging, as it is often the case with natural extracts. The study successfully demonstrated that best HILIC conditions were obtained using an amino stationary phase composed of a polyethylenimine and formic acid-based mobile phase. These conditions were successfully applied to the analysis of stilbenoid-rich extracts from different parts of the vine. The elution order of stilbenoids followed the degree of polymerization. With CAD, the chromatographic profile was more representative of sample composition. It was demonstrated for the first time the interest of a combination of HILIC and CAD for analyzing stilbenes, offering a complementary approach to the classic RP analysis.

Quantifying Phospholipids in Organic Samples Using a Hydrophilic Interaction Liquid Chromatography-Inductively Coupled Plasma High-Resolution Mass Spectrometry (HILIC-ICP-HRMS) Method

In this study, a novel method using hydrophilic interaction liquid chromatography (HILIC) coupled with inductively coupled plasma high-resolution mass spectrometry (ICP-HRMS) was introduced for the quantification of phospholipids in oil samples. The method employed a bridged ethyl hybrid (BEH) stationary phase HILIC column with a tetrahydrofuran (THF)/water mobile phase, enhancing the solubility and detection of phospholipids. During the study, a gradient/matrix effect on ICP-HRMS sensitivity was observed and successfully compensated for experimentally, ensuring reliable quantification results. This approach has proven effective for a wide range of different oil samples including vegetable oils, animal fats, and phospholipid supplements. Notably, this method allowed the direct quantification of phospholipids in oil samples, bypassing the need for prior sample preparation methods, such as solid phase extraction (SPE), thereby streamlining the analytical process. The precision, accuracy, and reduced need for extensive sample preparation offered by this method mark a significant advancement in lipids analysis. Its robustness and broad applicability have substantial implications for industries such as food and renewable energy production, where both efficient and accurate lipid identification and quantification are crucial.

Rapid identification and quantification of Pseudostellaria heterophylla with its adulterants by HPLC-CAD fingerprint combined with improved quantitative analysis of multi-components by single marker (QAMS)

The P. heterophylla and its adulterants were identified by HPLC-CAD fingerprint of sucrose and oligosaccharides in P. heterophylla. The improved quantitative analysis of multi-components with a single marker (iQAMS) was further established for simultaneous determinations of sucrose and oligosaccharides in P. heterophylla. The HPLC-CAD fingerprint and similarity coefficients between P. heterophylla and its adulterants showed significant differences. The relative errors (REs) between iQAMS method and external standard method (ESM) were below 3.00%, but significant difference was shown between iQAMS (different marker for whole program with gradient elution) and QAMS (one marker for whole program with gradient elution), indicating that QAMS method should be improved, especially for gradient elution which influence the response of analytes. The accuracy, precision, reproducibility, and stability of this method were validated which exhibited satisfactory results, indicating that iQAMS method could be used for quantitative analysis of sucrose and oligosaccharides in P. heterophylla instead of ESM. The iQAMS combined with HPLC-CAD fingerprint could be used to determine the content of each oligosaccharide, and it can be used for quality control of P. heterophylla.

Characterization of ribostamycin and its impurities using a nano-quantity analyte detector: Systematic comparison of performance among three different aerosol detectors

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.

A universal method for profiling and characterization of oligosaccharides in traditional Chinese medicines

Oligosaccharides constitute fundamental components in numerous traditional Chinese medicines (TCMs). Conventional chromatographic methods for natural product analysis are not suitable for oligosaccharides due to their large polarity and structural similarity. Herein, an ultra-high performance liquid chromatography with charged aerosol detector (UHPLC-CAD) method was developed for the profiling of oligosaccharides using 9 neutral (DP3-DP11) reference oligosaccharides. Various factors, including columns, mobile phase, elution conditions, flow rate, and column temperature were systematically examined. Optimal separation was achieved using an Amide column with gradient elution within 18 min, at 0.5 mL/min flow rate and 30°C column temperature. Moreover, an ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) method was also optimized to provide structural information. The developed method was applied to detect oligosaccharides in several TCMs, including Morindae Officinalis Radix (MOR), Ziziphi Spinosae Semen (ZSS), Menthae Haplocalycis Herba (MHH) and Chrysanthemi Indici Flos (CIF), revealing 9 and 16 oligosaccharides being uncovered from MHH and CIF respectively for the first time. This study presents a versatile UHPLC-CAD and UHPLC-Q-TOF/MS method with the potential for advancing oligosaccharides discovery and contributing to the quality analysis of TCMs.

Electrophoretic Microfluidic Characterization of mRNA- and pDNA-Loaded Lipid Nanoparticles

Lipid nanoparticles (LNPs) are clinically advanced nonviral gene delivery vehicles with a demonstrated ability to address viral, oncological, and genetic diseases. However, the further development of LNP therapies requires rapid analytical techniques to support their development and manufacturing. The method developed and described in this paper presents an approach to rapidly and accurately analyze LNPs for optimized therapeutic loading by utilizing an electrophoresis microfluidic platform to analyze the composition of LNPs with different clinical lipid compositions (Onpattro, Comirnaty, and Spikevax) and nucleic acid (plasmid DNA (pDNA) and messenger RNA (mRNA)) formulations. This method enables the high-throughput screening of LNPs using a 96- or 384-well plate with approximate times of 2-4 min per sample using a total volume of 11 μL. The lipid analysis requires concentrations approximately between 109 and 1010 particles/mL and has an average precision error of 10.4% and a prediction error of 19.1% when compared to using a NanoSight, while the nucleic acid analysis requires low concentrations of 1.17 ng/μL for pDNA and 0.17 ng/μL for mRNA and has an average precision error of 4.8% and a prediction error of 9.4% when compared to using a PicoGreen and RiboGreen assay. In addition, our method quantifies the relative concentration of nucleic acid per LNP. Utilizing this approach, we observed an average of 263 ± 62.2 mRNA per LNP and 126.3 ± 21.2 pDNA per LNP for the LNP formulations used in this study, where the accuracy of these estimations is dependent on reference standards. We foresee the utility of this technique in the high-throughput characterization of LNPs during manufacturing and formulation research and development.

Excipient-related impurities in liposome drug products

Liposomes are widely used in the pharmaceutical industry as drug delivery systems to increase the efficacy and reduce the off-target toxicity of active pharmaceutical ingredients (APIs). The liposomes are more complex drug delivery systems than the traditional dosage forms, and phospholipids and cholesterol are the major structural excipients. These two excipients undergo hydrolysis and/or oxidation during liposome preparation and storage, resulting in lipids hydrolyzed products (LHPs) and cholesterol oxidation products (COPs) in the final liposomal formulations. These excipient-related impurities at elevated concentrations may affect liposome stability and exert biological functions. This review focuses on LHPs and COPs, two major categories of excipient-related impurities in the liposomal formulations, and discusses factors affecting their formation, and analytical methods to determine these excipient-related impurities.

Advanced high-resolution chromatographic strategies for efficient isolation of natural products from complex biological matrices: from metabolite profiling to pure chemical entities

The isolation of pure compounds from extracts represents a key step common to all investigations of natural product (NP) research. Isolation methods have gone through a remarkable evolution. Current approaches combine powerful metabolite profiling methods for compounds annotation with omics mining results and/or bioassay for bioactive NPs/biomarkers priorisation. Targeted isolation of prioritized NPs is performed using high-resolution chromatographic methods that closely match those used for analytical profiling. Considerable progress has been made by the introduction of innovative stationary phases providing remarkable selectivity for efficient NPs isolation. Today, efficient separation conditions determined at the analytical scale using high- or ultra-high-performance liquid chromatography can be optimized via HPLC modelling software and efficiently transferred to the semi-preparative scale by chromatographic calculation. This ensures similar selectivity at both the analytical and preparative scales and provides a precise separation prediction. High-resolution conditions at the preparative scale can notably be granted using optimized sample preparation and dry load sample introduction. Monitoring by ultraviolet, mass spectrometry, and or universal systems such as evaporative light scattering detectors and nuclear magnetic resonance allows to precisely guide the isolation or trigger the collection of specific NPs with different structural scaffolds. Such approaches can be applied at different scales depending on the amounts of NPs to be isolated. This review will showcase recent research to highlight both the potential and constraints of using these cutting-edge technologies for the isolation of plant and microorganism metabolites. Several strategies involving their application will be examined and critically discussed.

Graphical abstract

Codonopsis radix: a review of resource utilisation, postharvest processing, quality assessment, and its polysaccharide composition

Codonopsis radix is the dried root of C. pilosula (Franch.) Nannf., C. pilosula Nannf. var. modesta (Nannf.) L. T. Shen, or C. tangshen Oliv., constitutes a botanical medicine with a profound historical lineage. It encompasses an array of bioactive constituents, including polyacetylenes, phenylpropanoids, alkaloids, triterpenoids, and polysaccharides, conferring upon it substantial medicinal and edible values. Consequently, it has garnered widespread attention from numerous scholars. In recent years, driven by advancements in modern traditional Chinese medicine, considerable strides have been taken in exploring resources utilization, traditional processing, quality evaluation and polysaccharide research of Codonopsis radix. However, there is a lack of systematic and comprehensive reporting on these research results. This paper provides a summary of recent advances in Codonopsis research, identifies existing issues in Codonopsis studies, and offers insights into future research directions. The aim is to provide insights and literature support for forthcoming investigations into Codonopsis.

High-Performance Liquid Chromatography Methods for Determining the Purity of Drugs with Weak UV Chromophores - A Review

High-performance liquid chromatography (HPLC) is one of the most useful techniques for the separation and determination of new drugs with a complex nature. The selection of an HPLC detector depends on the chemical nature of molecules, potential impurities, matrix of the sample, sensitivity, availability, and/or cost of the detector. HPLC methods with UV/Vis detectors are the most used and simple analytical procedures in pharmaceutical applications, but it is limited to compounds that possess a chromophore. Hence, this review provides an overview on the development of analytical methods for compounds with weak chromophores. The review described selected papers about HPLC based methods in the PubMed, Scopus, Semantic Scholar and ScienceDirect databases, basically between 2006 and 2023. Of the analytical studies, the HPLC methods with UV-Vis, FLD, CAD, ELSD, RID, ECD, CLND and MS detection were found. This study is a comparison of different types of detection that are described in scientific literature and are routinely used for compounds with weak chromophores. It is expected that this review will be helpful for scientists in the analytical development fields to improve research related to the drug candidates and to ensure its quality according to regulatory levels.

Automated Composition Assessment of Natural Extracts: Untargeted Mass Spectrometry-Based Metabolite Profiling Integrating Semiquantitative Detection

Recent developments in mass spectrometry-based metabolite profiling allow unprecedented qualitative coverage of complex biological extract composition. However, the electrospray ionization used in metabolite profiling generates multiple artifactual signals for a single analyte. This leads to thousands of signals per analysis without satisfactory means of filtering those corresponding to abundant constituents. Generic approaches are therefore needed for the qualitative and quantitative annotation of a broad range of relevant constituents. For this, we used an analytical platform combining liquid chromatography-mass spectrometry (LC-MS) with Charged Aerosol Detection (CAD). We established a generic metabolite profiling for the concomitant recording of qualitative MS data and semiquantitative CAD profiles. The MS features (recorded in high-resolution tandem MS) are grouped and annotated using state-of-the-art tools. To efficiently attribute features to their corresponding extracted and integrated CAD peaks, a custom signal pretreatment and peak-shape comparison workflow is built. This strategy allows us to automatically contextualize features at both major and minor metabolome levels, together with a detailed reporting of their annotation including relevant orthogonal information (taxonomy, retention time). Signals not attributed to CAD peaks are considered minor metabolites. Results are illustrated on an ethanolic extract of Swertia chirayita (Roxb.) H. Karst., a bitter plant of industrial interest, exhibiting the typical complexity of plant extracts as a proof of concept. This generic qualitative and quantitative approach paves the way to automatically assess the composition of single natural extracts of interest or broader collections, thus facilitating new ingredient registrations or natural-extracts-based drug discovery campaigns.

Application of the HPLC-ELSD technique for the determination of major metabolites of ibuprofen and creatinine in human urine

The report presents robust and high throughput methods, based on liquid chromatography coupled with evaporative light scattering detection (HPLC-ELSD), for the simultaneous determination of major metabolites of ibuprofen (IBU), namely 2-hydroxyibuprofen and carboxyibuprofen (method A) as well as creatinine (Crn) (method B) in human urine. The assays primarily involve straightforward sample purification. For both methods, the chromatographic separation of the analytes is achieved within 8 min at room temperature on Poroshell 120 SB-C18 (75 × 4.6 mm, 2.7 µm) column using gradient elution. The eluents consisted of 0.1% formic acid in water and acetonitrile (method A) or water and methanol (method B) delivered at a flow rate of 1 or 0.5 mL/min, respectively. In relation to metabolites of IBU, the assay linearity was observed within 0.06-0.5 g/L in urine, while the Crn assay linearity was demonstrated within 0.5-30 mmol/L in urine. The limit of quantification for IBU metabolites was determined to be 0.06 g/L, and 0.5 mmol/L for Crn. These methods were successfully applied to urine samples delivered by ten apparently healthy donors showing that the HPLC-ELSD assays are suitable for human urine screening.

HPLC-CAD as a supplementary method for the quantification of related structure impurities for the purity assessment of organic CRMs

In organic purity assessment, chromatography separation with a suitable detector is required. Diode array detection (DAD) has been a widely used technique for high-performance liquid chromatography (HPLC) analyses, but its application is limited to compounds with sufficient UV chromophores. Charged aerosol detector (CAD), as a mass-dependent detector, is advantageous for providing a nearly uniform response for analytes, regardless of their structures. In this study, 11 non-volatile compounds with/without UV chromophores were analyzed by CAD using continuous direct injection mode. The RSDs of CAD responses were within 17%. For saccharides and bisphenols, especially, the RSDs were lower (2.12% and 8.14%, respectively). Since bisphenols exist in UV chromophores, their HPLC-DAD responses were studied and compared with CAD responses, with CAD showing a more uniform response. Besides, the key parameters of HPLC-CAD were optimized and the developed method was verified using a Certified Reference Material (CRM, dulcitol, GBW06144). The area normalization result of dulcitol measured by HPLC-CAD was 99.89% ± 0.02% (n = 6), consistent with the certified value of 99.8% ± 0.2% (k = 2). The result of this work indicated that the HPLC-CAD method could be a good complementary tool to traditional techniques for the purity assessment of organic compounds, especially for compounds lacking UV chromophores.

Methods for the SI-traceable value assignment of the purity of organic compounds (IUPAC Technical Report)

The “purity” of an organic compound typically refers, in practice, to an assignment of the mass fraction content of the primary organic component present in the material. The “purity” value of an organic primary calibrator material is the ultimate source of metrological traceability of any quantitative measurement of the content of that compound in a given matrix. The primary calibrator may consist of a Certified Reference Material (CRM) whose purity has been assigned by the CRM producer or a laboratory may choose to value-assign a material to the extent necessary for their intended application by using appropriately valid methods. This report provides an overview of the approach, performance and applicability of the principal methods used to determine organic purity including mass balance, quantitative NMR, thermal methods and direct-assay techniques. A statistical section reviews best practice for combination of data, value assignment as the upper limit values corresponding to 100 % purity are approached and how to report and propagate the standard uncertainty associated with the assigned values.

Exploration of the effects of chloride ions on the analysis of polar compounds at low concentrations by hydrophilic interaction liquid chromatography coupled to a charged aerosol detector: Application to tromethamine

In this study, we discuss the origin of the slightly increased response of the charged aerosol detector when low-concentration polar drugs formulated with sodium chloride are analyzed by hydrophilic interaction liquid chromatography coupled to the charged aerosol detector. In the case of tromethamine mixed with saline solutions, we investigated several levels including the mobile phase, sample matrix, and detection. We show that the analysis of the rich-salted sample results in both interactions with the mobile phase modifiers and the stationary phase during the run time. With 150 mM NaCl as a compounding solution, a slight increase in the tromethamine peak area was observed (<5.5%). Our study suggests that chloride ions in excess sequentially interact firstly with the counterions from the organic modifiers and secondly with the analyte via the stationary phase and the contribution of hydrophilic interaction liquid chromatography retention mechanisms. Because of these effects, the hydrophilic interaction liquid chromatography-charged aerosol detector analysis of drugs in saline solutions requires particular attention, and a correction factor for quantitative purposes that accounts for formulation ions remains appropriate.

Determination of related substances in egg yolk lecithin by HPLC-CAD and characterization of its profiling by HPLC-Q-TOF-MS

A high-performance liquid chromatography (HPLC) method has been developed for the determination of related substances in egg yolk lecithin. Chromatographic separation was achieved using a gradient elution on a Waters Xbridge HILIC column maintained at 35 ℃. Mobile phase A was composed of water-acetonitrile (80:20, v/v, containing 5 mM ammonium acetate), and mobile phase B was composed of acetonitrile. Analytes were monitored by a charged aerosol detector (CAD) at 50 ℃. The novel HPLC-CAD method was selective and sensitive for the determination of related substances in egg yolk lecithin in its commercial bulk batches. It was also successfully validated by the International Council for Harmonisation (ICH) guidelines. The method will be a renewal of an old Chinese Pharmacopoeia method (2020 edition). Moreover, quadrupole time-of-flight mass spectrometry (Q-TOF-MS) was integrated with HPLC to investigate phospholipid species in egg yolk lecithin. This work provides comprehensive composition profiles of egg yolk lecithin, thereby accelerating the quality control, development, and application of egg yolk lecithin.

Analysis of the chemical composition of natural carbohydrates - An overview of methods

Natural carbohydrates are gaining importance over a wide spectrum of human activity due to their versatile functionalities. The properties of carbohydrates are currently used in many branches of industry and new possibilities of their utilization, like in medicine or materials science, are demonstrated systematically. The attractive properties of carbohydrates result from their chemical structure and ability to form macromolecules and derivatives. Each application of carbohydrate requires a knowledge of their chemical composition, which due to the number and differentiation of monosaccharides and their spatial forms is often challenging. This review presents an overview on sample preparation and the methods used for the determination of the fine chemical structure of natural carbohydrates. Most popular and reliable colorimetric, chromatographic and spectroscopic methods are presented with an emphasis on their pros and cons.

Comparison for quantification of eight components in Alpinia officinarum Hance by using high-performance liquid chromatography coupled with diode array detector and charged aerosol detector with individual and substitute reference compound

An efficient HPLC-DAD-CAD method was developed and compared for simultaneous quantification of four flavonoids and four diarylheptanoids in Alpinia officinarum Hance (A. officinarum) using individual and substitute reference compound. All calibration curves for investigated analytes showed good linear regression (R²> 0.9991). The LODs of investigated compounds for DAD and CAD were 0.15-7.92 ng (0.03-1.58 μg/mL) and 2.91-3.95 ng (0.58-0.79 μg/mL), respectively, whereas the LOQs were 0.52-26.39 ng (0.10-5.28 μg/mL) for DAD, and 9.70-13.18 ng (1.94-2.64 μg/mL) for CAD. Recoveries of all analytes, which ranged from 96.58% to 100.06% for DAD, and from 96.29% to 99.61% for CAD, were acceptable. According to the quantitative results, the eight compounds in A. officinarum can be accurately quantified with individual calibration curves by two detectors. In addition, to overcome the bottleneck of shortage of reference standards, diphenylheptane A and galangin, respectively, were selected for direct or calibrated quantitative determination of other diarylheptanoids and flavonoids in A. officinarum. The results showed the contents of eight components in A. officinarum determined by these methods were similar, which suggested that substitute reference compound was suitable for quantification of its analogues.

Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach

The charged aerosol detector (CAD) is the latest representative of aerosol-based detectors that generate a response independent of the analytes' chemical structure. This study was aimed at accurately predicting the CAD response of homologous fatty acids under varying experimental conditions. Fatty acids from C12 to C18 were used as model substances due to semivolatile characterics that caused non-uniform CAD behaviour. Considering both experimental conditions and molecular descriptors, a mixed quantitative structure-property relationship (QSPR) modeling was performed using Gradient Boosted Trees (GBT). The ensemble of 10 decisions trees (learning rate set at 0.55, the maximal depth set at 5, and the sample rate set at 1.0) was able to explain approximately 99% (Q²: 0.987, RMSE: 0.051) of the observed variance in CAD responses. Validation using an external test compound confirmed the high predictive ability of the model established (R²: 0.990, RMSEP: 0.050). With respect to the intrinsic attribute selection strategy, GBT used almost all independent variables during model building. Finally, it attributed the highest importance to the power function value, the flow rate of the mobile phase, evaporation temperature, the content of the organic solvent in the mobile phase and the molecular descriptors such as molecular weight (MW), Radial Distribution Function-080/weighted by mass (RDF080m) and average coefficient of the last eigenvector from distance/detour matrix (Ve2_D/Dt). The identification of the factors most relevant to the CAD responsiveness has contributed to a better understanding of the underlying mechanisms of signal generation. An increased CAD response that was obtained for acetone as organic modifier demonstrated its potential to replace the more expensive and environmentally harmful acetonitrile.

Quantitative analysis of impurities in leucomycin bulk drugs and tablets: A high performance liquid chromatography-charged aerosol detection method and its conversion to ultraviolet detection method

Toxic impurities were found in leucomycin and its preparation, however the content determination of impurities was challengeable due to the lacking of their reference standards. In this study, we developed high-performance liquid chromatography method coupled with charged aerosol detection (CAD) for the quantification of related substance of leucomycin (kitasamycin) bulk drugs and tablets, however, the CAD was not yet popular. In order to carry out quantitation work conveniently in the laboratory without CAD instruments, a high-performance liquid chromatography method coupled with ultraviolet (UV) detection was developed with the assistant of the HPLC-CAD results. The relative response of impurities on CAD chromatogram was used for guiding the establishment of HPLC-UV method, which could achieve the quantitation task in the absence of impurity reference standards. The developed HPLC-UV method was validated according to the ICH guideline and showed good precision, reproducibility and linearity with determination coefficient higher than 0.9999. The limit of detection and quantitation were 0.3 and 0.5 μg mL^-1, respectively. The recoveries were 92.9 %-101.5 % at the spiked concentration levels of 0.1 %, 0.8 %, 1.0 and 1.2 % with relative standard deviations (RSDs, n = 3) lower than 2.0 %. Finally, the developed HPLC-CAD and -UV methods were compared by the determination of impurities in several batches of leucomycin bulk drugs and tablets. The results demonstrated that the developed HPLC-UV method was simple and reliable. This study developed methods to quantify the related substance in leucomycin and tablets, and discussed a strategy of the conversion of HPLC-CAD method to HPLC-UV method. The developed methods could be considered for implementation into pharmacopeial monographs in the future.

HPLC-DAD-CAD-based approach for the simultaneous analysis of hydrophobic drugs and lipid compounds in liposomes and for cyclodextrin/drug inclusion complexes

In recent decades liposomes have become attractive carriers for hydrophobic drugs to enhance their solubility and improve their therapeutic application. For liposomal drug products, both drug and lipid quantification are required by regulatory authorities, making the implementation of precise quantification methods a step of crucial importance in formulation development and quality control. Therefore, the present study is focused on the development and validation of a simple and time-saving method for the simultaneous analysis of hydrophobic drugs and conventional liposomal components. The new HPLC method was established with a combined detection by a diode array detector (DAD) and a corona charged aerosol detector (CAD). As a wide calibration range of the liposomal components can be achieved (10-1000 μg/mL), the analysis of samples with different drug to lipid ratios is enabled. Moreover, an excellent precision including repeatability and low limits of detection (≤ 1.8 μg/mL) and limits of quantification (≤ 5.9 μg/mL) were accomplished for all analytes. The method was successfully applied to liposomes incorporating mitotane. Everolimus was additionally analyzed as hydrophobic model drug. Furthermore, cyclodextrin/mitotane inclusion complexes were investigated to proof a broad range of applications for the developed method.

Automated Programmable Generation of Broad pH Range Volatile Ionic Eluents for Liquid Chromatography

Many of the universal detectors in liquid chromatography, including mass spectrometry, must completely volatilize the chromatographic eluent first before further processing and detection of the analytes. A basic requirement is that the eluent does not contain a nonvolatile dissolved component. However, separation of biomolecules must be conducted in mostly aqueous media of compatible pH and ionic strength if their biological activity must survive the separation process. Combinations of ammonia with acetic and formic acids are commonly used as eluent for this purpose but generally maximum concentrations that can be tolerated are relatively low. Further, buffering is good only over a limited pH range. We describe a system where the eluent is generated in an automated pressure-programmed manner from high-purity gaseous NH₃ and CO₂ through gas-permeable membrane devices. This can be aided by the prior presence of formic/acetic acids in the mobile phase to extend the attainable low pH limit. We outline the fundamental pH, ionic strength, and buffer intensity considerations and demonstrate the application of such eluents in the separation of amino acids, proteins, and monoclonal antibodies. We also demonstrate the use of dissolved CO₂ as an ion-pairing agent in the separation of chiral amines.

New Determination Method of Two Bioactive Saponins in Lysimachia capillipes Hemsl. by Quantitative Analysis of Multi-Components by Single-Marker

Capilliposide B (CPS-B) and Capilliposide C (CPS-C), as the key components in Lysimachia capillipes Hemsl., increasingly aroused the interest and research concern of many researchers due to the good bioactivities. Nowadays, the reference standards of CPS-B and CPS-C yield were very limited. Due to the deficit of reference standards, the determination could be difficult to carry out, and the quality control and evaluation would be restrained afterwards. To solve this urgent problem, a quantitative analysis of multi-components by single-marker (QAMS) method was proposed and established based on high-performance liquid-chromatography tandem evaporative light-scattering detector. In this QAMS method, the content of the two bioactive components could be calculated by buddlejasaponin IV, which is applied as an external standard and readily obtained. And the methodological experiments were evaluated and indicated accuracy, stability and feasibility of this QAMS method. Therefore, in this study, this built method would properly meet the requirement of determination of CPS-B, CPS-C and quality control of the L. capillipes Hemsl. plant.

Milestone Studies on Ion-exclusion Chromatography of Ionic and Nonionic Substances Utilizing Multifunctional Separation Mechanism of Ion-exchange Resins

Ion-exclusion chromatography (IEC) is categorized as a type of ion chromatography and is recognized as a simple and convenient water quality monitoring technology for a variety of ionic and nonionic substances. This review, mainly focusing on historical milestone studies by various authors, outlines the archives that concern the separation sciences and practical applications obtained from a variety of IEC modes used for water-quality monitoring as follows: (1) early-developed IEC; (2) IEC using enhanced conductivity detection for weak ionic substance; (3) IEC using nonionic substances eluents such as sugars or polyols; (4) vacancy IEC based on a novel separation concept; (5) applications to the water quality monitoring of inorganic ionic-nutrients; (6) simultaneous IEC and cation-exchange chromatography of anions and cations; and (7) the multicomponent IEC combining different separation modes and detection methods with the expansion of applicable fields, such as for food analysis or material evaluations.

Significance of Competing Metabolic Pathways for 5F-APINACA Based on Quantitative Kinetics

In 2020, nearly one-third of new drugs on the global market were synthetic cannabinoids including the drug of abuse N-(1-adamantyl)-1-(5-pentyl)-1H-indazole-3-carboxamide (5F-APINACA, 5F-AKB48). Knowledge of 5F-APINACA metabolism provides a critical mechanistic basis to interpret and predict abuser outcomes. Prior qualitative studies identified which metabolic processes occur but not the order and extent of them and often relied on problematic “semi-quantitative” mass spectroscopic (MS) approaches. We capitalized on 5F-APINACA absorbance for quantitation while leveraging MS to characterize metabolite structures for measuring 5F-APINACA steady-state kinetics. We demonstrated the reliability of absorbance and not MS for inferring metabolite levels. Human liver microsomal reactions yielded eight metabolites by MS but only five by absorbance. Subsequent kinetic studies on primary and secondary metabolites revealed highly efficient mono- and dihydroxylation of the adamantyl group and much less efficient oxidative defluorination at the N-pentyl terminus. Based on regiospecificity and kinetics, we constructed pathways for competing and intersecting steps in 5F-APINACA metabolism. Overall efficiency for adamantyl oxidation was 17-fold higher than that for oxidative defluorination, showing significant bias in metabolic flux and subsequent metabolite profile compositions. Lastly, our analytical approach provides a powerful new strategy to more accurately assess metabolic kinetics for other understudied synthetic cannabinoids possessing the indazole chromophore.

High-Performance Liquid Chromatography Determination of Free Sugars and Mannitol in Mushrooms Using Corona Charged Aerosol Detection

Refractive index detector is usually used in the analysis of sugars in mushrooms, which is characterized by poor sensitivity, reproducibility, and susceptibility to interference from co-eluting sample components. In the current study, identification and determination of free sugars in mushroom samples by high-performance liquid chromatography coupled to corona charged aerosol detector (HPLC-CAD) were presented for the first time. The best chromatographic separation was performed on a Shodex Asahipak NH2P-50 4E 5 μm and mobile phase composed of 75% acetonitrile and 25% water with flow rate was 1 mL/min. The developed method offers good linearity in concentration range 0.001–0.01 or 0.01–0.2 mg/mL for tested compounds with R2 > 0.99. Limit of detection (LOD) for analytes was in the range of 7.1–120.2 ng on column. HPLC-CAD method showed very good reproducibility (RSD < 5.1%). Fructose, mannitol, and glucose were detected in all examined mushroom samples. For white Agaricus bisporus, mannitol was the most abundant sugar (7.575 mg/g dw), whereas trehalose for Pleurotus ostreatus (3.426 mg/g dw). The developed method was successfully applied for quantification of free sugars and mannitol in mushrooms. The optimized method proved to be sensitive, reproducible, and accurate.

Detection challenges in quantitative polymer analysis by liquid chromatography

Accurate quantification of polymer distributions is one of the main challenges in polymer analysis by liquid chromatography. The response of contemporary detectors is typically influenced by compositional features such as molecular weight, chain composition, end groups, and branching. This renders the accurate quantification of complex polymers of which there are no standards available, extremely challenging. Moreover, any (programmed) change in mobile-phase composition may further limit the applicability of detection techniques. Current methods often rely on refractive index detection, which is not accurate when dealing with complex samples as the refractive-index increment is often unknown. We review current and emerging detection methods in liquid chromatography with the aim of identifying detectors, which can be applied to the quantitative analysis of complex polymers.

Method development in interaction polymer chromatography

Interaction polymer chromatography (IPC) is an umbrella term covering a large variety of primarily enthalpically-dominated macromolecular separation methods. These include temperature-gradient interaction chromatography, interactive gradient polymer elution chromatography (GPEC), barrier methods, etc. Also included are methods such as liquid chromatography at the critical conditions and GPEC in traditional precipitation-redissolution mode. IPC techniques are employed to determine the chemical composition distribution of copolymers, to separate multicomponent polymeric samples according to their chemical constituents, to determine the tacticity and end-group distribution of polymers, and to determine the chemical composition and molar mass distributions of select blocks in block copolymers. These are all properties which greatly affect the processing and end-use behavior of macromolecules. While extremely powerful, IPC methods are rarely employed outside academic and select industrial laboratories. This is generally because most published methods are "bespoke" ones, applicable only to the particular polymer being examined; as such, potential practitioners are faced with a lack of inductive information regarding how to develop IPC separations in non-empirical fashion. The aim of the present review is to distill from the literature and the author's experience the necessary fundamental macromolecular and chromatographic information so that those interested in doing so may develop IPC methods for their particular analytes of interest, regardless of what these analytes may be, with as little trial-and-error as possible. While much remains to be determined in this area, especially, for most techniques, as regards the role of temperature and how to fine-tune this critical parameter, and while a need for IPC columns designed specifically for large-molecule separations remains apparent, it is hoped that the present review will help place IPC methods in the hands of a more general, yet simultaneously more applied audience.

Matrix effect on quantification of sugars and mannitol developed during the postharvest of cocoa: an alternative method for traceability of aroma precursors by liquid chromatography with an evaporative detector

The profile of reducing sugars developed during each stage of the postharvest of cocoa beans is an important quality index; these sugars are found to be one of the main precursors of flavor and neoformed compounds. However, its quantification after extraction from different parts of the bean is a challenge due to the complexity of the matrix. The primary aim of this study was to track the formation of reducing sugars and mannitol in samples obtained from various steps of the fermentation and drying processes of cocoa beans by validating a rapid matrix-corrected chromatographic method utilizing a corona-charged aerosol detector for improved sensitivity. The analytes were extracted from ground cocoa beans by solid phase extraction without a defatting step (20 mg raw fermented and 10 mg dried). The experimental variables influencing the effective detection were evaluated at different temperatures and signal filtering levels. Method validation studies showed an average recovery between 77.8 and 120% for fermented cocoa and between 79.6 and 117.7% for dried cocoa. A linear response was achieved for fructose, glucose, sucrose, and mannitol for a concentration range of 0.1-40 mg/L, and maltose showed linearity in the range of 0.1-70 mg/L. Regression coefficients (R) were 0.9991, 0.9993, 0.9992, 0.9995 and 0.9994, respectively. This method was successfully applied to a clone mix of cocoa from Antioquia, Colombia, to confirm the hydrolysis reaction of sucrose into glucose and fructose during fermentation and drying. A quality indicator of an efficient postharvest process in this study was determined to be a glucose percentage of 0.66% w/w and a fructose percentage of 1.46% w/w, which were higher than the values reported by other studies.

Recent advances in the analysis of polysialic acid from complex biological systems

Polysialic acid (polySia) is a unique, well-characterised carbohydrate polymer highly-expressed on the cell surface of neurons in the early stages of mammalian brain development. Post-embryogenesis, it is also re-expressed in a number of tumours of neuroendocrine origin. It plays important roles in modulating cell-cell, and cell-matrix adhesion and migration, tumour invasion and metastasis. Techniques for structural and quantitative characterisation of polySia from tumours and cancer cells are thus essential in exploring the relationship between polySia expression levels and structural and functional changes associated with cancer progression and metastasis. A variety of techniques have been developed to structurally and quantitatively analyse polySia in clinical tissues and other biological samples. In this review, analytical approaches used for the determination of polySia in biological matrices in the past 20 years are discussed, with a particular focus on chemical approaches, and quantitative analysis.

Analytes’ Structure and Signal Response in Evaporating Light Scattering Detector (ELSD)

Background:

Working with an Evaporative Light Scattering Detector (ELSD), the target components are converted to a suspension of particles in a gas phase by a nebulizer and heated while the mobile phase is evaporated. Then, the incident light is directed at the remaining particles which are scattered and detected.

Methods:

The signal response of an ELS detector is studied through the correlation of the signal intensity of 65 compounds (at 30, 45 and 80°C) with their structural and physicochemical characteristics. Therefore, 67 physicochemical properties as well as structural features of the analytes were inserted as X variables and they were studied in correlation with their signal intensity (Y variable).

Results:

The collected data were statistically processed with the use of partial least squares method. The results proved that several properties were those that mainly affected the signal intensity either increasing or decreasing this response.

Conclusion:

The derived results proved that properties related to vapor pressure, size, density, melting and boiling point of the analytes were responsible for changes in the signal intensity. The light detected was also affected by properties relevant to the ability of a molecule to form hydrogen bonds (HBA and HBD) and its polarizability or refractivity, but at a lower extent.

Seeking universal detectors for analytical characterizations

It is highly desirable to have a universal detector that can detect all types of compounds and give a uniform response regardless of the physiochemical properties of the compounds. With such a universal detector, all components in a sample can be accurately quantified without the need for individual standards. This is especially needed for the characterization of unknowns and for non-targeted analysis, or for samples that have no isolated standards available for each component. Over the years, much effort has been put into seeking a universal detection technology. In this review, we discuss the commonly used detectors for analytical characterization, including UV, RI, ELSD, CAD, CLND, FID, VUV, MS, NMR, and hyphenated detection, with the focuses on the "universal" features of these detectors regarding the types of molecules they can detect and the uniformity of responses.

Determination of glucosamine and monitoring of its mutarotation by hydrophilic interaction liquid chromatography with evaporative light scattering detector

Saccharides and their derivatives are typical polar analytes without a suitable UV-chromophore that are nowadays analyzed by HPLC (high-performance liquid chromatography) under HILIC (hydrophilic interaction liquid chromatography) mode. Usually an evaporative light scattering detector (ELSD) is utilized which, however, gives a nonlinear response. A procedure to overcome the problem of mutarotating (time-varying) analytes recorded with such a nonlinear response detector is described. The procedure was applied for determination of glucosamine in two commercially available pharmaceutical formulations containing the common inorganic ions that the detector gives a response to. Under optimized conditions, both the anomers of glucosamine were separated and could be determined separately. Owing to the short retention time of the analyte (a run time <4 min) and relatively slow kinetics of the anomeric conversion (equilibration time 2.5 h), mutarotation could be monitored and corresponding rate constants calculated.