Sequential simplex optimization and multichannel detection in HPLC: Application to method development

Self-Driving Laboratories for Chemistry and Materials Science

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold the potential to greatly accelerate research in chemistry and materials discovery. This review provides an in-depth analysis of the state-of-the-art in SDL technology, its applications across various scientific disciplines, and the potential implications for research and industry. This review additionally provides an overview of the enabling technologies for SDLs, including their hardware, software, and integration with laboratory infrastructure. Most importantly, this review explores the diverse range of scientific domains where SDLs have made significant contributions, from drug discovery and materials science to genomics and chemistry. We provide a comprehensive review of existing real-world examples of SDLs, their different levels of automation, and the challenges and limitations associated with each domain.

Intelligent automation of high-performance liquid chromatography method development by means of a real-time knowledge-based approach

We describe the development, attributes and capabilities of a novel type of artificial intelligence system, called LabExpert, for automation of HPLC method development. Unlike other computerised method development systems, LabExpert operates in real-time, using an artificial intelligence system and design engine to provide experimental decision outcomes relevant to the optimisation of complex separations as well as the control of the instrumentation, column selection, mobile phase choice and other experimental parameters. LabExpert manages every input parameter to a HPLC data station and evaluates each output parameter of the HPLC data station in real-time as part of its decision process. Based on a combination of inherent and user-defined evaluation criteria, the artificial intelligence system programs use a reasoning process, applying chromatographic principles and acquired experimental observations to iteratively provide a regime for a priori development of an acceptable HPLC separation method. Because remote monitoring and control are also functions of LabExpert, the system allows full-time utilisation of analytical instrumentation and associated laboratory resources. Based on our experience with LabExpert with a wide range of analyte mixtures, this artificial intelligence system consistently identified in a similar or faster time-frame preferred sets of analytical conditions that are equal in resolution, efficiency and throughput to those empirically determined by highly experienced chromatographic scientists. An illustrative example, demonstrating the potential of LabExpert in the process of method development of drug substances, is provided.

Use of mathematically enhanced spectral analysis and spectral contrast techniques for the liquid chromatographic and capillary electrophoretic detection and identification of pharmaceutical compounds

The use of mathematically enhanced ultraviolet/visible (UV/VIS) absorbance spectral analysis and spectral contrast software techniques in high performance liquid chromatography (HPLC) and micellar electrokinetic capillary electrophoresis (MECC) as an aid for the determination of peak homogeneity, identification, and tracking during method development was investigated. Various structurally similar pharmaceutical compounds, and compounds present as either cis/trans isomers, diastereomers, or enantiomers were used as test compounds to probe the limits of this technique. Two tricyclic antidepressants, nortriptyline and imipramine, were employed to study the effects of HPLC mobile phase composition and pH on the ability to identify and track peaks during method development. It was found that method changes altered the spectral matches used for identification, but not enough to cause incorrect peak identification. It was also shown using HPLC that the cis/trans isomers of doxepin and the diastereomers ephedrine and pseudoephedrine could be distinguished. The mathematically enhanced spectral analysis and spectral contrast software techniques were also employed with MECC. Peaks tracking during method development as pH and the concentration of surfactant changes is shown for a separation of various penicillin type antibiotics. It was shown that during chiral MECC (CMECC) analyses ephedrine/pseudoephedrine diastereomers as well as ephedrine enantiomers could be distinguished. The determination of enantiomers is possible in CMECC since enantiomers are eluted as diastereomeric complexes, as opposed to HPLC where they are eluted in their native state.

High-performance liquid chromatography of amino acids, peptides and proteins. CXXXIII. Peak tracking of peptides in reversed-phase high-performance liquid chromatography

A peak tracking algorithm for peptide analysis has been developed based on a normalised spectral overlay method which directly compares the UV spectra of any two chromatographic peaks. Additionally, the algorithm compares the spectrum of each peak in the first chromatogram with the spectra of every peak in the second chromatogram to determine the best cross-match. The sensitivity of the technique was further enhanced by incorporation of the primary and secondary derivative spectra for cross-match normalisation. The utility of the software was demonstrated by its application to the analysis of tryptic digests of porcine growth hormone. Peptide solutes could be identified and tracked in chromatograms generated with various column types, gradient times, mobile phase types and temperatures. These results therefore constitute the initial stages of development of a more robust approach to the optimisation of the resolution, detection and characterisation of peptides and proteins separated by HPLC techniques.

Strategies for peak-purity assessment in liquid chromatography

One of the key requirements for the validation of chromatographic methods is to determine the purity of a chromatographic peak. Statistical modelling of the chromatographic process suggests that overlapping components are highly probable in a chromatogram. Hence extensive efforts have been directed at the development of sensitive, reliable and robust methods to assess peak purity. This is especially the case in the pharmaceutical industry, where liquid chromatography (LC) is widely utilized and the demands on method validation are justifiably high. On-line multiwavelength absorptiometric detection is often used to generate the additional data required to facilitate peak-purity assessment in LC. This approach, using photodiode-array technology, is directly compatible with the aqueous-based reversed-phase LC solvents used extensively in drug analysis. Consequently, this work highlights many of the peak-purity algorithms, which may be applied using LC with diode-array detection. The relative merits of the individual techniques are discussed, and a rationale is developed for their application.

The assay and resolution of the beta-blocker atenolol from its related impurities in a tablet pharmaceutical dosage form

For the complete resolution and determination of the beta-blocker atenolol and its manufacturing impurities a high-performance liquid chromatographic method is developed using structured optimization techniques. The method utilizes a 300 x 3.9 mm i.d. stainless steel column packed with mu Bondapak C18 and a mobile phase containing methanol-25 mM potassium dihydrogen orthophosphate containing 0.06% (v/v) dibutylamine (20:80, v/v) (pH 3.0). The flow rate of 1.0 ml min-1 is used and a detection wavelength of 226 nm. The linearity and repeatability are good for the present compound over the range 1.5-510.0 micrograms ml-1 (r greater than 0.99 and RSD 0.27%, n = 10). Application of the method to 50 and 100 mg tablets gave recoveries of 99% (w/w) and reproducibilities of (RSD) 1.1 and 0.52%, respectively (n = 5). The manufacturing impurities are found to be greater than 0.5% (w/w) of the atenolol peak.

Chemometrics in pharmaceutical analysis

Pharmaceutical analysis is undergoing a slow revolution as chemometric principles become increasingly incorporated. This paper reviews some of the more recent advances, with particular focus on spectrophotometry, chromatography and expert systems.

Advances in automation of pharmaceutical analysis

The development of a new drug substance and its dosage forms demands the establishment and implementation of suitable analytical methods. Through the application of chemometrics, "intelligent" laboratory systems and integrated data handling systems, considerable progress is being made in automating both the development and routine use of analytical methods in pharmaceutical analysis.

Chromatographic methods for determining the identity, strength and purity of ranitidine hydrochloride both in the drug substance and its dosage forms--an exercise in method selection, development, definition and validation

The selection, development, definition and validation of selective stability-indicating procedures for high-performance liquid chromatographic and thin-layer chromatographic analyses of ranitidine hydrochloride are described. The procedures used in conjunction can be applied to the quality assurance and stability assessments of both the drug substance and its dosage forms and serve to establish the identity, strength and purity of this drug used in the treatment of peptic ulcer and related conditions.

Computer-aided optimisation of drug enantiomer separation in chiral high-performance liquid chromatography

The advent of several new column materials for the resolution of chiral compounds in high-performance liquid chromatography has opened up new possibilities for the analysis of drug enantiomers both in the dosage form and in bioanalytical studies. The utility of simplex optimisation, modified simplex and response surface mapping are considered with reference to the antischistosomal drug, oxamniquine, separated on an alpha 1-acid glycoprotein column. The resolution of the enantiomers of three closely related benzodiazepines, temazepam, oxazepam and lorazepam, is attempted on three new column systems: cellulose triacetate, beta-cyclodextrin and the reversed-phase column porous graphitic carbon with beta-cyclodextrin as a mobile phase additive.

Design and application of an expert system for mobile phase optimisation in reversed-phase liquid chromatography

The selection of the optimum composition for the mobile phase in reversed-phase high-performance liquid chromatography (HPLC) is a complex task; conventional approaches require the expenditure of significant amounts of time by the analyst, particularly for complex mixtures of solutes of biological origin. Some of the existing strategies for the automated optimisation of mobile phase composition (e.g. Simplex), may fail if the elution order of the components changes; or they may require that standards be chromatographed in order to establish the retention behaviour of each component in a mixture (e.g. resolution mapping). These problems may be overcome if the retention behaviour of each individual solute can be established from the chromatogram of the mixture. In this regard, components can be tracked by exploiting the spectral information generated by a rapid scanning photodiode array detector. Unfortunately this information is often insufficiently detailed to allow an unambiguous model of retention behaviour to be constructed. The system developed by the Authors uses these spectral data as a basis for constructing one or more hypothetical retention models, each of which is refined or rejected as further information is obtained during the progress of the experiment. To improve the reliability of the retention models proposed by the system, the spectral data are utilised in a number of tests designed to assess the purity of each chromatographic peak. The information so generated may be used in conjunction with any previously acquired spectral data both to select an appropriate method for extracting spectra for each component from the matrix of (A, lambda, t) data and to establish reliability parameters for the resultant spectra. The development and philosophy of the expert system developed for eluent optimisation in reversed-phase HPLC is discussed.