High-Throughput and Ultrafast Liquid Chromatography

Kaplitz, Alexander S.; Kresge, Glenn A.; Selover, Benjamin; Horvat, Leah; Franklin, Edward G.; Godinho, Justin M.; Grinias, Kaitlin M.; Foster, Samuel W.; Davis, Joshua J.; Grinias, James P.

doi:10.1021/acs.analchem.9b04713

Cited by 44 publications

(24 citation statements)

References 341 publications

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“…CWT provides a huge flexibility in the choice of wavelets. Names of continuous wavelets that can be used for detecting peak shoulders or overlaps: Daubechies family (1-9), Symlet family (2-8), Coiflet family (1-5), and Gauss family (1)(2)(3)(4)(5)(6)(7)(8). Gaussian wavelet transform gives the most accurate estimation of frequency components localized in time.…”

Section: General Outline For Peak Overlap Detection With Cwt (A)mentioning

confidence: 99%

“…Separation scientists are continuously challenged by the complexity of in vivo and in vitro chemical systems. These problems are currently tackled by exploiting highly selective detection technologies, surface chemistries, and obtaining high peak capacities by using small particles or narrow open tubular columns [1,2]. Another less trodden path for solving separation problems is signal processing for enhancing peak to peak resolution and noise reduction [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Wavelet transforms in separation science for denoising and peak overlap detection

Wahab

O’Haver

2020

J of Separation Science

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Wavelet transform is a versatile time‐frequency analysis technique, which allows localization of useful signals in time or space and separates them from noise. The detector output from any analytical instrument is mathematically equivalent to a digital image. Signals obtained in chemical separations that vary in time (e.g., high‐performance liquid chromatography) or space (e.g., planar chromatography) are amenable to wavelet analysis. This article gives an overview of wavelet analysis, and graphically explains all the relevant concepts. Continuous wavelet transform and discrete wavelet transform concepts are pictorially explained along with their chromatographic applications. An example is shown for qualitative peak overlap detection in a noisy chromatogram using continuous wavelet transform. The concept of signal decomposition, denoising, and then signal reconstruction is graphically discussed for discrete wavelet transform. All the digital filters in chromatographic instruments used today potentially broaden and distort narrow peaks. Finally, a low signal‐to‐noise ratio chromatogram is denoised using the procedure. Significant gains (>tenfold) in signal‐to‐noise ratio are shown with wavelet analysis. Peaks that were not initially visible were recovered with good accuracy. Since discrete wavelet transform denoising analysis applies to any detector used in separation science, researchers should strongly consider using wavelets for their research.

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Section: General Outline For Peak Overlap Detection With Cwt (A)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wavelet transforms in separation science for denoising and peak overlap detection

Wahab

O’Haver

2020

J of Separation Science

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“…Nachrichten aus der Chemie| 68 | Oktober 2020 | www.gdch.de/nachrichten ckelt. 26) Daneben wurde an totvolumenarmen und leistungsfähigen chipbasierten Trenntechniken geforscht. Ein Beispiel ist die Integration der überkritischen Fluidchromatographie in einen Voll glaschip.…”

Section: Wissenschaft + Forschungunclassified

Trendbericht Analytische Chemie II: Trenntechniken und Elektroanalytik

Vogel¹,

Engewald²,

Dettmer‐Wilde³

et al. 2020

Nachr Chem

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Dieser zweite Teil des Trendberichts Analytische Chemie (erster Teil siehe Nachr. Chem. 2020, 68(4), 52) zeigt Entwicklungen in der Chromatographie, bei Detektions‐ und Kopplungstechniken sowie bei On‐chip‐Trennungen. Miniaturisierung spielt auch in der Elektroanalytik eine Rolle. Zudem werden elektrochemische Analysentechniken für Anwendungen maßgeschneidert und profitieren dabei von Erkenntnissen aus den Materialwissenwissenschaften.

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“…Two solutions were developed to solve this issue: (a) an LC system that has higher pressure limits-UHPLC (Lippert et al, 1999;Swartz, 2005), and (b) new particles with reduced back pressure but higher efficiency-modern SPP materials (DeStefano et al, 2008;. The combination of these two has brought LC into the very high-speed era (DeStefano et al, 2014;Fekete et al, 2014;Kaplitz et al, 2020;Lin et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Fundamental to achieving fast separations with high efficiency: A review of chromatography with superficially porous particles

Luo

DeStefano

Langlois

et al. 2021

Biomedical Chromatography

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Types of particles have been fundamental to LC separation technology for many years. Originally, LC columns were packed with large-diameter (>100 μm) calcium carbonate, silica gel, or alumina particles that prohibited fast mobile-phase speeds because of the slow diffusion of sample molecules inside deep pores. During the birth of HPLC in the 1960s, superficially porous particles (SPP, ≥30 μm) were developed as the first high-speed stationary-phase support structures commercialized, which permitted faster mobile-phase flowrates due to the fast movement of sample molecules in/out of the thin shells. These initial SPPs were displaced by smaller totally porous particles (TPP) in the mid-1970s. But SPP history repeated when UHPLC emerged in the 2000s. Stationary-phase support structures made from sub-3-μm SPPs were introduced to chromatographers in 2006. The initial purpose of this modern SPP was to enable chromatographers to achieve fast separations with high efficiency using conventional HPLCs. Later, the introduction of sub-2-μm SPPs with UHPLC instruments pushed the separation speed and efficiency to a very fast zone.This review aims at providing readers a comprehensive and up-to-date view on the advantages of SPP materials over TPPs historically and theoretically from the material science angle.

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High-Throughput and Ultrafast Liquid Chromatography

Cited by 44 publications

References 341 publications

Wavelet transforms in separation science for denoising and peak overlap detection

Wavelet transforms in separation science for denoising and peak overlap detection

Trendbericht Analytische Chemie II: Trenntechniken und Elektroanalytik

Fundamental to achieving fast separations with high efficiency: A review of chromatography with superficially porous particles

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