An excerpt from LCGC’s e-learning tutorial on UV detection for HPLC at CHROMacademy.com
An excerpt from LCGC’s e-learning tutorial on UV detection for HPLC at CHROMacademy.com
The standard ultraviolet (UV) detector for high performance liquid chromatography (HPLC) measures the absorbance of monochromatic light of fixed wavelength in the UV or visible wavelength range (typically between 190 nm [UV] and 400 nm [blue light]) against a reference beam and relates the magnitude of the absorbance to the concentration of analyte in the eluent passing through a flow cell contained within the instrument.
Analytes suitable for UV detection typically contain unsaturated bonds, aromatic groups, or functional groups containing heteroatoms, which contain π* and σ* nonbonding orbitals into which electrons are promoted to absorb the incident energy. These nonbonding orbitals contain a wide distribution of vibrational and rotational energy levels that lead to a distribution of absorbance energies and therefore spectra with broad, rather than sharp features.
Analyte concentration can be determined from the Beer–Lambert law (equation 1):
A = E.c.l [1]
where ε is the molar absorptivity coefficient (dm3 mol-1 cm-1), c is the concentration (mol dm-3), A is the absorbance, and l is the pathlength of the light through the flow cell (cm). If the molar absorptivity coefficient for the analyte is not known, then standard solutions of known concentration can be used to determine it or to calibrate the instrument (concentration versus absorbance) response using a calibration curve or response factor.
Polychromatic light from a deuterium (UV) or tungsten (visible) lamp is focused onto the entrance slit of a monochromator. The monochromator selectively transmits a narrow band of selected wavelengths, via the use of a grating mounted on an electromechanical turntable, to the exit slit and ultimately through the flow cell. Analyte absorbance is measured using a beam splitter to compare light intensity reaching a sample photodiode with a reference photodiode, which is off-axis from the flow cell. This type of detector is known as a variable-wavelength detector.
In diode array detection (DAD), radiation from the lamp is collimated through the flow cell followed by a mechanically controlled or fixed width slit. Radiation is dispersed via a holographic grating into individual wavelengths of light that are detected using a photodiode array. Each photodiode receives a different narrow wavelength band and a complete spectrum may be obtained for any point within the chromatogram, or a chromatogram may be deconvoluted to show only those signals because of a single or narrow range of wavelengths. In this way, targeted analysis, component identification, and the simultaneous quantitative analysis of signals at several discrete wavelengths may be achieved, making this form of the detector more widely applicable.
Establishing the correct wavelength at which to measure the response of the analyte is an important consideration in terms of robustness and sensitivity. That is usually achieved by studying the UV spectra of standards of the analytes of interest or by examining the spectra of each component within the chromatogram generated by diode-array detection. It should be noted that changes in the nature of the sample solvent, the pH of the solution, and the temperature can all change the position and intensity of absorption bands of molecules.
There are many other, more esoteric, settings that also need to be considered to optimize chromatographic detection using UV.
A good rule of thumb when choosing flow cell geometry is to keep the flow-cell volume to less than 10% of the average peak volume (width at the peak base × flow rate). In this way, peak dispersion because of the flow cell will be kept to a reasonable level. More modern instruments tend to offer light-pipe detector cells, which offer low dispersion and optimize sensitivity through amplification of absorbance via total internal reflection of the light passing through the flow cell.
Data sampling rates should be matched to the peak widths within the chromatogram to obtain enough measurement points across the peak for valid modelling of the elution profile and therefore robust quantitative measurement.
The size of the post flow-cell slit (sometimes called the slit width) and the number of wavelengths of light falling on each photodiode (sometimes called the bandwidth) are important considerations in diode-array detection. Decreasing the slit width usually lowers noise, but also lowers spectral detail (resolution), whereas reducing bandwidth generally reduces sensitivity but improves spectral resolution, so these two need to be carefully balanced, depending on the required outcomes from the analysis. The bandwidth setting can be matched to the natural bandwidth of the analyte spectrum by measuring the half-height width of the spectrum at the chosen wavelength.
The use of a reference wavelength in diode-array mode can help to remove signal contributions (noise and baseline drift) because of changes in eluent refractive index during gradient analysis. The reference window is typically chosen to be wide (100 nm) with the reference wavelength around 50 nm above the wavelength at which the analyte spectrum falls below 0.1 mAU.
For setting and optimizing the variables mentioned above, one should consult the detector manufacturer’s literature.
Get the full tutorial at www.CHROMacademy.com/Essentials (free until 20 December).
SPME GC-MS–Based Metabolomics to Determine Metabolite Profiles of Coffee
November 14th 2024Using a solid phase microextraction gas chromatography-mass spectrometry (SPME GC-MS)-based metabolomics approach, a recent study by the School of Life Sciences and Technology at Institut Teknologi Bandung (Indonesia) investigated the impact of environmental factors (including temperature, rainfall, and altitude) on volatile metabolite profiles of Robusta green coffee beans from West Java.
RP-HPLC Analysis of Polyphenols and Antioxidants in Dark Chocolate
November 13th 2024A recent study set out to assess the significance of geographical and varietal factors in the content of alkaloids, phenolic compounds, and the antioxidant capacity of chocolate samples. Filtered extracts were analyzed by reversed-phase high-performance liquid chromatography (RP-HPLC) with ultraviolet (UV) and spectrophotometric methods to determine individual phenolics and overall indexes of antioxidant and flavonoid content.
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
Katelynn Perrault Uptmor Receives the 2025 LCGC Emerging Leader in Chromatography Award
Published: November 13th 2024 | Updated: November 13th 2024November 13, 2024 – LCGC International magazine has named Katelynn A. Perrault Uptmor, Assistant Professor of Chemistry at the College of William & Mary, the recipient of the 2025 Emerging Leader in Chromatography Award. This accolade, which highlights exceptional achievements by early-career scientists, celebrates Perrault Uptmor’s pioneering work in chromatography, particularly in the fields of forensic science, odor analysis, and complex volatile organic compounds (VOCs) research.