Dimensionality reduction for deep learning in infrared microscopy: a comparative computational survey

Analyst, 2023, 148,5022-5032
DOI: 10.1039/D3AN00166K, Paper
Dajana Müller, David Schuhmacher, Stephanie Schörner, Frederik Großerueschkamp, Iris Tischoff, Andrea Tannapfel, Anke Reinacher-Schick, Klaus Gerwert, Axel Mosig
We compare dimensionality reduction approaches and their effect on identifying cancer in infrared microscopic images. Neural networks trained on reduced spectra perform surprisingly well, indicating the importance of spatial information.
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Recent advances in aptamer-based biosensors for potassium detection

Analyst, 2023, Advance Article
DOI: 10.1039/D3AN01053H, Critical Review
Tengfang Zhang, Jiajia Liu, Linghao Zhang, Muhammad Irfan, Xin Su
This review focuses on aptasensors for K+ detection, their signal generation strategies, their analytical performance, factors that affect their efficiency with major challenges and future prospects.
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High performance nonenzymatic electrochemical sensors via thermally grown Cu native oxides (CuNOx) towards sweat glucose monitoring

Analyst, 2023, Advance Article
DOI: 10.1039/D3AN01153D, Paper
Maksud M. Alam, Matiar M. R. Howlader
Diabetes, the seventh leading cause of death globally, requires real-time blood glucose monitoring, which is often an invasive process.
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GC-FTICR mass spectrometry with dopant assisted atmospheric pressure photoionization: application to the characterization of plastic pyrolysis oil

Analyst, 2023, 148,5221-5232
DOI: 10.1039/D3AN01246H, Paper
Charlotte Mase, Julien F. Maillard, Marco Piparo, Lukas Friederici, Christopher P. Rüger, Sabrina Marceau, Benoit Paupy, Marie Hubert-Roux, Carlos Afonso, Pierre Giusti
GC-APPI-FTICR MS is particularly efficient for the characterization of complex organic mixtures such as plastic pyrolysis oil. The use of dopants allows control of ionization efficiency and selectivity to target specific families of molecules.
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Reporter emission multiplexing in digital PCRs (REM-dPCRs): direct quantification of multiple target sequences per detection channel by population specific reporters

Analyst, 2023, 148,5243-5254
DOI: 10.1039/D3AN00191A, Paper
Open Access Open Access
Creative Commons Licence  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Silvia Calabrese, Anja M. Markl, Maximilian Neugebauer, Stefanie J. Krauth, Nadine Borst, Felix von Stetten, Michael Lehnert
Concept of reporter emission multiplexing (REM) to increase multiplexing capacities in digital PCR by using population specific reporters (PSR) labeled with fluorophores of different signal intensities.
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Graphene-enhanced quantum cascade laser infrared spectroscopy using diamond thin-film waveguides

Analyst, 2023, 148,5144-5151
DOI: 10.1039/D3AN00824J, Paper
Open Access Open Access
Andrea Teuber, Giada Caniglia, Christine Kranz, Boris Mizaikoff
Diamond thin-film waveguides were combined with quantum cascade lasers augmented by drop-casted graphene enabling surface-enhanced infrared absorption spectroscopy.
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A feasible protocol to profile bile acids in dried blood spots from rats using a UHPLC-MS/MS method combining a surrogate matrix

Analyst, 2023, 148,5190-5202
DOI: 10.1039/D3AN00900A, Paper
Ziying Ma, Ning Sheng, Jinlan Zhang
A two-step method was applied to enable high extraction efficiency for bile acids in DBSs. A DBS surrogate matrix was well developed and showed good performance, and 35 bile acids were profiled using UHPLC-MS/MS with good resolution and quantified with acceptable precision and accuracy.
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An electronic tongue based on conjugated polymers for the discrimination and quantitative detection of tetracyclines

Analyst, 2023, 148,5152-5156
DOI: 10.1039/D3AN01213A, Paper
Shiyong Chen, Jie Wang, Zhikun Shang, Yun Ding, Aiguo Hu
A fluorescent sensor array has been developed based on conjugated polymers (CPs) having six different skeletons for the detection of tetracyclines (TCs), which are known as environmental pollutants.
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Integration of semi-empirical MS/MS library with characteristic features for the annotation of novel amino acid-conjugated bile acids

Analyst, 2023, Advance Article
DOI: 10.1039/D3AN01237A, Paper
Yan Ma, Yang Cao, Xiaocui Song, Weichen Xu, Zichen Luo, Jinjun Shan, Jingjie Zhou
Annotation of common and new amino acid-conjugated bile acids from LC-MS/MS data is achieved by an automatic workflow using a semi-empirical MS/MS library in negative ESI mode and characteristic fragments in positive ESI mode.
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