Most-cited articles · 2022
The 50 most-cited articles in Analytical and Bioanalytical Chemistry, 2022
Ranked by OpenAlex citation count on 29 October 2026, out of 648 eligible articles Analytical and Bioanalytical Chemistry published in 2022. Ranks are frozen; this page will not change. Number one, with 187 citations: Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review.
- Cohort
- 648 articles
- Listed
- Top 50 (7.7%)
- Open access
- 30 of 50
- Snapshot
- 2026-10-29
The most-cited articles from 2022 cluster around biosensing and separation science. Reviews on microfluidic chip biosensors for foodborne pathogens, exosome isolation, and wearable electrochemical devices sit near the top, alongside work on mass spectrometry for PFAS and microplastics analysis by vibrational spectroscopy. The single most-cited paper is Fang Mi, Cunming Hu, Ying Wang and colleagues' review of microfluidic chip biosensor detection of foodborne pathogenic bacteria, with 187 citations.
For readers, the ranking offers a snapshot of which 2022 contributions in this journal drew the most subsequent attention, spanning reviews and original research across analytical, bioanalytical, and environmental topics. Citation counts reflect usage within the period covered by OpenAlex and should be read as one indicator among several when assessing a paper's influence.
Introduction written from the titles and abstracts on this list. Every figure below is the source.
Ask about these papers
Grounded in this list only, with sources.
- 1top 0.2%
Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review
Fang Mi, Cunming Hu, Ying Wang, Li Wang, Fei Peng and 2 more
187 citationsOpen accessdoi:10.1007/s00216-021-03872-wOpenAlex
- 2top 0.4%
Current status and outlook of advances in exosome isolation
Wenzhao Liu, Zhanjun Ma, Xuewen Kang
158 citationsOpen accessdoi:10.1007/s00216-022-04253-7OpenAlex
- 3top 0.5%
A review on comparative studies addressing exosome isolation methods from body fluids
Tânia Soares Martins, Margarida Vaz, Ana Gabriela Henriques
141 citationsdoi:10.1007/s00216-022-04174-5OpenAlex
- 4top 0.7%
Automated analysis of microplastics based on vibrational spectroscopy: are we measuring the same metrics?
Mingtan Dong, Zhenbing She, Xiong Xiong, Guang Ouyang, Zejiao Luo
112 citationsOpen access (CC-BY-NC-ND)doi:10.1007/s00216-022-03951-6OpenAlex
- 5top 0.8%
Recent advances in mass spectrometry analytical techniques for per- and polyfluoroalkyl substances (PFAS)
Shenglan Jia, Mauricius Marques dos Santos, Caixia Li, Shane A. Snyder
105 citationsdoi:10.1007/s00216-022-03905-yOpenAlex
- 6top 1%
Determination of the protein content of complex samples by aromatic amino acid analysis, liquid chromatography-UV absorbance, and colorimetry
Kathrin Reinmuth-Selzle, Teodor Tchipilov, Anna T. Backes, Georg Tscheuschner, Kai Tang and 5 more
104 citationsOpen access (CC-BY)doi:10.1007/s00216-022-03910-1OpenAlex
Show abstractHide abstract
Fast and accurate determination of the protein content of a sample is an important and non-trivial task of many biochemical, biomedical, food chemical, pharmaceutical, and environmental research activities. Different methods of total protein determination are used for a wide range of proteins with highly variable properties in complex matrices. These methods usually work reasonably well for proteins under controlled conditions, but the results for non-standard and complex samples are often questionable. Here, we compare new and well-established methods, including traditional amino acid analysis (AAA), aromatic amino acid analysis (AAAA) based on the amino acids phenylalanine and tyrosine, reversed-phase liquid chromatography of intact proteins with UV absorbance measurements at 220 and 280 nm (LC-220, LC-280), and colorimetric assays like Coomassie Blue G-250 dye-binding assay (Bradford) and bicinchoninic acid (BCA) assay. We investigated different samples, including proteins with challenging properties, chemical modifications, mixtures, and complex matrices like air particulate…
- 7top 1.1%
Wearable soft electrochemical microfluidic device integrated with iontophoresis for sweat biosensing
Gülçin Bolat, Ernesto De la Paz, Nathália F. B. Azeredo, Michael Kartolo, Jayoung Kim and 6 more
99 citationsdoi:10.1007/s00216-021-03865-9OpenAlex
- 8top 1.3%
Electrochemical sensing of macromolecules based on molecularly imprinted polymers: challenges, successful strategies, and opportunities
Elisabetta Mazzotta, Tiziano Di Giulio, Cosimino Malitesta
97 citationsOpen access (CC-BY)doi:10.1007/s00216-022-03981-0OpenAlex
Show abstractHide abstract
Looking at the literature focused on molecularly imprinted polymers (MIPs) for protein, it soon becomes apparent that a remarkable increase in scientific interest and exploration of new applications has been recorded in the last several years, from 42 documents in 2011 to 128 just 10 years later, in 2021 (Scopus, December 2021). Such a rapid threefold increase in the number of works in this field is evidence that the imprinting of macromolecules no longer represents a distant dream of optimistic imprinters, as it was perceived until only a few years ago, but is rapidly becoming an ever more promising and reliable technology, due to the significant achievements in the field. The present critical review aims to summarize some of them, evidencing the aspects that have contributed to the success of the most widely used strategies in the field. At the same time, limitations and drawbacks of less frequently used approaches are critically discussed. Particular focus is given to the use of a MIP for protein in the assembly of electrochemical sensors. Sensor design indeed represents one of…
- 9top 1.4%
Recent development and application of membrane chromatography
Jing Chen, Bing Yu, Hailin Cong, Youqing Shen
92 citationsOpen accessdoi:10.1007/s00216-022-04325-8OpenAlex
- 10top 1.6%
Electrochemical immunosensors using electrodeposited gold nanostructures for detecting the S proteins from SARS-CoV and SARS-CoV-2
Laís Canniatti Brazaca, Amanda Hikari Imamura, Nathalia O. Gomes, Mariana Bortholazzi Almeida, Desirée Tamara Scheidt and 5 more
90 citationsOpen accessdoi:10.1007/s00216-022-03956-1OpenAlex
- 11top 1.7%
A high-throughput, automated technique for microplastics detection, quantification, and characterization in surface waters using laser direct infrared spectroscopy
Quinn T. Whiting, Keith F. O'Connor, Phillip M. Potter, Souhail R. Al‐Abed
89 citationsOpen accessdoi:10.1007/s00216-022-04371-2OpenAlex
- 12top 1.9%
Point-of-care electrochemical testing of biomarkers involved in inflammatory and inflammatory-associated medical conditions
Diana-Gabriela Macovei, Maria‐Bianca Irimeș, Oana Hosu, Cécilia Cristea, Mihaela Tertiş
86 citationsOpen accessdoi:10.1007/s00216-022-04320-zOpenAlex
- 13top 2.1%
Advancement and obstacles in microfluidics-based isolation of extracellular vesicles
Megan Havers, Axel Broman, Andreas Lenshof, Thomas Laurell
84 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04362-3OpenAlex
Show abstractHide abstract
There is a great need for techniques which enable reproducible separation of extracellular vesicles (EVs) from biofluids with high recovery, purity and throughput. The development of new techniques for isolation of EVs from minute sample volumes is instrumental in enabling EV-based biomarker profiling in large biobank cohorts and paves the way to improved diagnostic profiles in precision medicine. Recent advances in microfluidics-based devices offer a toolbox for separating EVs from small sample volumes. Microfluidic devices that have been used in EV isolation utilise different fundamental principles and rely largely on benefits of scaling laws as the biofluid processing is miniaturised to chip level. Here, we review the progress in the practicality and performance of both passive devices (such as mechanical filtering and hydrodynamic focusing) and active devices (using magnetic, electric or acoustic fields). As it stands, many microfluidic devices isolate intact EV populations at higher purities than centrifugation, precipitation or size-exclusion chromatography. However, this…
- 14top 2.2%
Facets of ICP-MS and their potential in the medical sciences—Part 1: fundamentals, stand-alone and hyphenated techniques
David Clases, Raquel González de Vega
77 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04259-1OpenAlex
Show abstractHide abstract
Since its inception in the early 80s, inductively coupled plasma-mass spectrometry has developed to the method of choice for the analysis of elements in complex biological systems. High sensitivity paired with isotopic selectivity and a vast dynamic range endorsed ICP-MS for the inquiry of metals in the context of biomedical questions. In a stand-alone configuration, it has optimal qualities for the biomonitoring of major, trace and toxicologically relevant elements and may further be employed for the characterisation of disrupted metabolic pathways in the context of diverse pathologies. The on-line coupling to laser ablation (LA) and chromatography expanded the scope and application range of ICP-MS and set benchmarks for accurate and quantitative speciation analysis and element bioimaging. Furthermore, isotopic analysis provided new avenues to reveal an altered metabolism, for the application of tracers and for calibration approaches. In the last two decades, the scope of ICP-MS was further expanded and inspired by the introduction of new instrumentation and methodologies including…
- 15top 2.4%
Approaches for assessing performance of high-resolution mass spectrometry–based non-targeted analysis methods
Christine M. Fisher, Katherine T. Peter, Seth Newton, Andrew J. Schaub, Jon R. Sobus
73 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04203-3OpenAlex
Show abstractHide abstract
Non-targeted analysis (NTA) using high-resolution mass spectrometry has enabled the detection and identification of unknown and unexpected compounds of interest in a wide range of sample matrices. Despite these benefits of NTA methods, standardized procedures do not yet exist for assessing performance, limiting stakeholders' abilities to suitably interpret and utilize NTA results. Herein, we first summarize existing performance assessment metrics for targeted analyses to provide context and clarify terminology that may be shared between targeted and NTA methods (e.g., terms such as accuracy, precision, sensitivity, and selectivity). We then discuss promising approaches for assessing NTA method performance, listing strengths and key caveats for each approach, and highlighting areas in need of further development. To structure the discussion, we define three types of NTA study objectives: sample classification, chemical identification, and chemical quantitation. Qualitative study performance (i.e., focusing on sample classification and/or chemical identification) can be assessed using…
- 16top 2.5%
Exploring chemical space in non-targeted analysis: a proposed ChemSpace tool
Gabrielle P. Black, Charles N. Lowe, Tarun Anumol, Jessica Bade, Kristin Herrmann Favela and 13 more
72 citationsOpen accessdoi:10.1007/s00216-022-04434-4OpenAlex
- 17top 2.7%
Biomass-derived carbon dots as a sensitive and selective dual detection platform for fluoroquinolones and tetracyclines
Binila K. Korah, Anu Rose Chacko, Sneha Mathew, Bony K. John, Thomas Abraham and 1 more
72 citationsdoi:10.1007/s00216-022-04119-yOpenAlex
- 18top 2.8%
A novel workflow for semi-quantification of emerging contaminants in environmental samples analyzed by LC-HRMS
Reza Aalizadeh, Varvara Nikolopoulou, Nikiforos A. Alygizakis, Jaroslav Slobodnı́k, Νikolaos S. Τhomaidis
72 citationsdoi:10.1007/s00216-022-04084-6OpenAlex
- 19top 3%
Three-dimensional graphene/amino-functionalized metal–organic framework for simultaneous electrochemical detection of Cd(II), Pb(II), Cu(II), and Hg(II)
Danqun Huo, Ya Zhang, Ning Li, Wenhao Ma, Huan Liu and 4 more
69 citationsdoi:10.1007/s00216-021-03779-6OpenAlex
- 20top 3.1%
Recent advances in bioprobes and biolabels based on cyanine dyes
Xiaoying Ma, Lei Shi, Buyue Zhang, Lu Liu, Yao Fu and 1 more
65 citationsdoi:10.1007/s00216-022-03995-8OpenAlex
- 21top 3.3%
Towards quantitative point of care detection using SERS lateral flow immunoassays
Sian Sloan‐Dennison, Emma O’Connor, James W. Dear, Duncan Graham, Karen Faulds
65 citationsOpen access (CC-BY)doi:10.1007/s00216-022-03933-8OpenAlex
Show abstractHide abstract
The rapid detection of biomolecules in a point of care (POC) setting is very important for diagnostic purposes. A platform which can provide this, whilst still being low cost and simple to use, is paper-based lateral flow immunoassays (LFIA). LFIA combine immunology and chromatography to detect a target by forming an immunocomplex with a label which traps them in a test zone. Qualitative analysis can be performed using the naked eye whilst quantitative analysis takes place by measuring the optical signal provided by the label at the test zone. There are numerous detection methods available; however, many suffer from low sensitivity and lack of multiplexing capabilities or are poor at providing POC quantitative analysis. An attractive method to overcome this is to use nanoparticles coated in Raman reporters as the labelled species and to analyse test zones using surface-enhanced Raman scattering (SERS). Due to the wide variety of metal nanoparticles, Raman reporter and laser excitations that are available, SERS-based LFIA have been adapted to identify and quantify multiple targets at…
- 22top 3.4%
Lateral flow–based nucleic acid detection of SARS-CoV-2 using enzymatic incorporation of biotin-labeled dUTP for POCT use
Saloni Agarwal, Christian Warmt, Joerg Henkel, Livia Schrick, Andreas Nitsche and 1 more
61 citationsOpen access (CC-BY)doi:10.1007/s00216-022-03880-4OpenAlex
Show abstractHide abstract
The degree of detrimental effects inflicted on mankind by the COVID-19 pandemic increased the need to develop ASSURED (Affordable, Sensitive, Specific, User-friendly, Rapid and Robust, Equipment-free, and Deliverable) POCT (point of care testing) to overcome the current and any future pandemics. Much effort in research and development is currently advancing the progress to overcome the diagnostic pressure built up by emerging new pathogens. LAMP (loop-mediated isothermal amplification) is a well-researched isothermal technique for specific nucleic acid amplification which can be combined with a highly sensitive immunochromatographic readout via lateral flow assays (LFA). Here we discuss LAMP-LFA robustness, sensitivity, and specificity for SARS-CoV-2 N-gene detection in cDNA and clinical swab-extracted RNA samples. The LFA readout is designed to produce highly specific results by incorporation of biotin and FITC labels to 11-dUTP and LF (loop forming forward) primer, respectively. The LAMP-LFA assay was established using cDNA for N-gene with an accuracy of 95.65%. To validate the…
- 23top 3.6%
Uncertainty estimation strategies for quantitative non-targeted analysis
Louis C. Groff, Jarod N. Grossman, Anneli Kruve, Jeffrey M. Minucci, Charles N. Lowe and 8 more
60 citationsOpen accessdoi:10.1007/s00216-022-04118-zOpenAlex
- 24top 3.8%
A ratiometric fluorescence and colorimetric dual-mode sensing platform based on sulfur quantum dots and carbon quantum dots for selective detection of Cu2+
Hanqiang Zhang, Yufei Li, Haixin Lu, Feng Gan
59 citationsdoi:10.1007/s00216-022-03888-wOpenAlex
- 25top 3.9%
Affinity-based isolation of extracellular vesicles and the effects on downstream molecular analysis
Gisela Ströhle, Jingxuan Gan, Huiyan Li
58 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04178-1OpenAlex
- 26top 4.1%
Metal-doped carbon dots as peroxidase mimic for hydrogen peroxide and glucose detection
Xing Yuxin, Sun Laipeng, Liu Kang, Shi Haipeng, Wang Zonghua and 1 more
57 citationsdoi:10.1007/s00216-022-04149-6OpenAlex
- 27top 4.2%
Single-particle assessment of six different drug-loading strategies for incorporating doxorubicin into small extracellular vesicles
Chen Chen, Yurou Li, Qingqing Wang, Niangui Cai, Lina Wu and 1 more
55 citationsdoi:10.1007/s00216-022-04248-4OpenAlex
- 28top 4.4%
A colorimetric aptasensor based on gold nanoparticles for detection of microbial toxins: an alternative approach to conventional methods
Girma Selale Geleta
54 citationsdoi:10.1007/s00216-022-04227-9OpenAlex
- 29top 4.5%
Synergetic PtNP@Co3O4 hollow nanopolyhedrals as peroxidase-like nanozymes for the dual-channel homogeneous biosensing of prostate-specific antigen
Xiyue Cao, Min Liu, Mu Zhao, Jie Li, Jianfei Xia and 2 more
54 citationsdoi:10.1007/s00216-021-03827-1OpenAlex
- 30top 4.7%
Red-emission carbon dots as fluorescent “on–off–on” probe for highly sensitive and selective detection of Cu2+ and glutathione
Gan Ning, Bo Li, Jiajia Liu, Qi Xiao, Shan Huang
53 citationsdoi:10.1007/s00216-021-03859-7OpenAlex
- 31top 4.8%
A novel peptide-based fluorescent probe for highly selective detection of mercury (II) ions in real water samples and living cells based on aggregation-induced emission effect
Peng Wang, Shirui Xue, Bo Chen, Fang Yang Liao
52 citationsdoi:10.1007/s00216-022-04094-4OpenAlex
- 32top 5%
2D material–based peroxidase-mimicking nanozymes: catalytic mechanisms and bioapplications
Jia Yang, Henghan Dai, Yue Kui Sun, Lumin Wang, Gang Qin and 3 more
50 citationsOpen access (CC-BY-NC-SA)doi:10.1007/s00216-022-03985-wOpenAlex
- 33top 5.1%
Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy
Amir Nakar, Aikaterini C. Pistiki, Oleg Ryabchykov, Thomas Wilhelm Bocklitz, Petra Rösch and 1 more
50 citationsOpen access (CC-BY)doi:10.1007/s00216-021-03800-yOpenAlex
Show abstractHide abstract
In recent years, we have seen a steady rise in the prevalence of antibiotic-resistant bacteria. This creates many challenges in treating patients who carry these infections, as well as stopping and preventing outbreaks. Identifying these resistant bacteria is critical for treatment decisions and epidemiological studies. However, current methods for identification of resistance either require long cultivation steps or expensive reagents. Raman spectroscopy has been shown in the past to enable the rapid identification of bacterial strains from single cells and cultures. In this study, Raman spectroscopy was applied for the differentiation of resistant and sensitive strains of Escherichia coli. Our focus was on clinical multi-resistant (extended-spectrum β-lactam and carbapenem-resistant) bacteria from hospital patients. The spectra were collected using both UV resonance Raman spectroscopy in bulk and single-cell Raman microspectroscopy, without exposure to antibiotics. We found resistant strains have a higher nucleic acid/protein ratio, and used the spectra to train a machine learning…
- 34top 5.3%
Quantitative analysis of short-chain fatty acids in human plasma and serum by GC–MS
Linxing Yao, Emily A. Davidson, Maliha W. Shaikh, Christopher B. Forsyth, Jessica E. Prenni and 1 more
49 citationsdoi:10.1007/s00216-021-03785-8OpenAlex
- 35top 5.5%
AChE-based electrochemical biosensor for pesticide detection in vegetable oils: matrix effects and synergistic inhibition of the immobilized enzyme
Dimitra Tsounidi, Dionysios Soulis, Fotini Manoli, Apostolos Klinakis, George Tsekenis
47 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04448-yOpenAlex
Show abstractHide abstract
Enzyme-based electrochemical biosensors have been widely deployed for the detection of a range of contaminants in different food products due to their significant advantages over other (bio)sensing techniques. Nevertheless, their performance is greatly affected by the sample matrix itself or by the matrix they are presented with in pretreated samples, both of which can impact the accuracy as well as the sensitivity of the measurements. Therefore, and in order to acquire reliable and accurate measurements, matrix effects and their influence on sensor performance should be taken into consideration. Herein, acetylcholinesterase (AChE)-modified electrochemical sensors were employed for the detection of pesticides in vegetable oils. Sensor interrogation with pretreated oil samples, spiked with carbofuran, revealed the inhibitory potential of the extracted matrix varies between different types of vegetable oil and their fatty acid content. In addition, synergies between the extracted matrix from different types of vegetable oils and the carbamate pesticide, carbofuran, were observed,…
- 36top 5.6%
Critical review of polymer and hydrogel deposition methods for optical and electrochemical bioanalytical sensors correlated to the sensor’s applicability in real samples
Meike Bauer, Axel Duerkop, Antje J. Baeumner
47 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04363-2OpenAlex
Show abstractHide abstract
Abstract Sensors, ranging from in vivo through to single-use systems, employ protective membranes or hydrogels to enhance sample collection or serve as filters, to immobilize or entrap probes or receptors, or to stabilize and enhance a sensor’s lifetime. Furthermore, many applications demand specific requirements such as biocompatibility and non-fouling properties for in vivo applications, or fast and inexpensive mass production capabilities for single-use sensors. We critically evaluated how membrane materials and their deposition methods impact optical and electrochemical systems with special focus on analytical figures of merit and potential toward large-scale production. With some chosen examples, we highlight the fact that often a sensor’s performance relies heavily on the deposition method, even though other methods or materials could in fact improve the sensor. Over the course of the last 5 years, most sensing applications within healthcare diagnostics included glucose, lactate, uric acid, O 2 , H + ions, and many specific metabolites and markers. In the case of food safety…
- 37top 5.8%
A sensitive LC–MS/MS method for isomer separation and quantitative determination of 51 pyrrolizidine alkaloids and two tropane alkaloids in cow’s milk
Lisa Monika Klein, Angelika Miriam Gabler, Michael Rychlik, Christoph Gottschalk, Florian Kaltner
47 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04344-5OpenAlex
Show abstractHide abstract
Abstract 1,2-Unsaturated pyrrolizidine alkaloids (PA), their corresponding N -oxides (PANO), and tropane alkaloids (TA) are toxic secondary plant metabolites. Their possible transfer into the milk of dairy cows has been studied in feeding trials; however, only few data on the occurrence of these toxins in milk are available. In this study, the development of a sensitive analytical approach for the simultaneous detection and quantification of a broad range of 54 PA/PANO as well as of the TA atropine and scopolamine in milk of dairy cows is presented. The method optimisation focused on sensitivity and separation of PA/PANO isomers. Milk samples were extracted using liquid–liquid extraction with aqueous formic acid and n-hexane, followed by a cation-exchange solid-phase extraction for purification. Reversed phase liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis was performed using alkaline solvent conditions. Validation proved low limits of detection and quantification of 0.005 to 0.054 µg/L and of 0.009 to 0.123 µg/L, respectively. For 51 of the 54 tested PA/PANO and…
- 38top 5.9%
Gallic acid-coated silver nanoparticles as perspective drug nanocarriers: bioanalytical study
Katarína Nemčeková, Veronika Svitková, Jozef Sochr, Pavol Gemeiner, Ján Labuda
47 citationsOpen accessdoi:10.1007/s00216-022-03955-2OpenAlex
- 39top 6.1%
Ultrasensitive detection of plant hormone abscisic acid-based surface-enhanced Raman spectroscopy aptamer sensor
Yanyan Zhang, Linze Li, Hao Zhang, Junjian Shang, Can Li and 3 more
47 citationsdoi:10.1007/s00216-022-03923-wOpenAlex
- 40top 6.2%
Analysis of 19 urinary biomarkers of oxidative stress, nitrative stress, metabolic disorders, and inflammation using liquid chromatography–tandem mass spectrometry
Maria-Pilar Martinez-Moral, Kurunthachalam Kannan
47 citationsOpen access (OTHER-OA)doi:10.1007/s00216-021-03844-0OpenAlex
Show abstractHide abstract
Environmental chemical exposures have been associated with cancer, diabetes, hormonal and immunological disorders, and cardiovascular diseases. Some direct effects of chemical exposure that are precursors to adverse health outcomes, including oxidative stress, nitrative stress, hormonal imbalance, neutrophilia, and eosinophilia, can be assessed through the analysis of biomarkers in urine. In this study, we describe a novel methodology for the determination of 19 biomarkers of health effects: malondialdehyde (MDA), 8-isoprostaglandin-F2α (8-PGF2α), 11-β-prostaglandin-F2α (11-PGF2α), 15-prostaglandin-F2α (15-PGF2α), 8-iso-15-prostaglandin-F2α (8,15-PGF2α), 8-hydroxy-2′-deoxyguanosine (8-OHdG), 8-hydroxyguanosine (8-HdG), 8-hydroxyguanine (8-HG), dityrosine (diY), allantoin (Alla), and two metabolic products of 4-hydroxynonenal (HNE), namely 4-hydroxy-2-nonenal glutathione (HNE-GSH) and 4-hydroxy-2-nonenal mercapturic acid (HNE-MA) (in total, 12 oxidative stress biomarkers, OSBs); 8-nitroguanosine (8-NdG), 8-nitroguanine (8-NG), and 3-nitrotyrosine (NY) (3 nitrative stress biomarkers,…
- 41top 6.4%
Underestimating microplastics? Quantification of the recovery rate of microplastic particles including sampling, sample preparation, subsampling, and detection using µ-Ramanspectroscopy
Felix Weber, Jutta Kerpen
46 citationsOpen access (CC-BY)doi:10.1007/s00216-022-04447-zOpenAlex
Show abstractHide abstract
This study is one of the first to investigate the recovery rate of high- and low-density microplastic particles (polyvinyl chloride and polypropylene) from wastewater treatment plant effluents or comparable technical facilities under nearly realistic experimental conditions. For this purpose, a method of continuous dosing of microplastic particles into an experimental flume for open-channel flow was developed. Subsequently, 12 samples were taken using volume-reduced sampling and the entire sample purification process including oxidative treatment (with hydrogen peroxide and sodium hypochlorite), density separation (with sodium polytungstate), and subsampling was carried out. Detection was conducted using automatic particle recognition and µ-Ramanspectroscopy. An average recovery rate of 27 ± 10% was determined for polypropylene microplastic particles (d = 53 ± 29 µm), decreasing with the particle size, and 78 ± 14% for polyvinyl chloride microplastic particles (d = 151 ± 37 µm). The results suggest that microplastic emissions from wastewater treatment plants are underestimated,…
- 42top 6.5%
CRISPR/Cas13a combined with hybridization chain reaction for visual detection of influenza A (H1N1) virus
Hongyu Zhou, Shengjun Bu, Yao Xu, Lulu Xue, Zhongyi Li and 3 more
46 citationsOpen accessdoi:10.1007/s00216-022-04380-1OpenAlex
- 43top 6.7%
Nanomaterial-based aptamer biosensors for ochratoxin A detection: a review
Xiujin Chen, Dong Gao, Fengxia Sun, Zhaozhou Li, Yao Wang and 3 more
46 citationsdoi:10.1007/s00216-022-03960-5OpenAlex
- 44top 6.8%
A molecularly imprinted polymer nanoparticle-based surface plasmon resonance sensor platform for antibiotic detection in river water and milk
Mark V. Sullivan, Alisha Henderson, Rachel A. Hand, Nicholas W. Turner
45 citationsOpen access (CC-BY-NC)doi:10.1007/s00216-022-04012-8OpenAlex
- 45top 7%
Diagnostic assay and technology advancement for detecting SARS-CoV-2 infections causing the COVID-19 pandemic
B. Dhar
45 citationsOpen access (CC-BY)doi:10.1007/s00216-022-03918-7OpenAlex
Show abstractHide abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-caused COVID-19 pandemic has transmitted to humans in practically all parts of the world, producing socio-economic turmoil. There is an urgent need for precise, fast, and affordable diagnostic testing to be widely available for detecting SARS-CoV-2 and its mutations in various phases of the disease. Early diagnosis with great precision has been achieved using real-time polymerase chain reaction (RT-PCR) and similar other molecular methods, but theseapproaches are costly and involve rigorous processes that are not easily obtainable. Conversely, immunoassays that detect a small number of antibodies have been employed for quick, low-cost tests, but their efficiency in diagnosing infected people has been restricted. The use of biosensors in the detection of SARS-CoV-2 is vital for the COVID-19 pandemic's control. This review gives an overview of COVID-19 diagnostic approaches that are currently being developed as well as nanomaterial-based biosensor technologies, to aid future technological advancement and innovation.…
- 46top 7.1%
Co–N–C single-atom nanozymes with oxidase-like activity for highly sensitive detection of biothiols
Liping Sun, Yong Yan, Shuai Chen, Zijue Zhou, Tao Wei and 3 more
44 citationsdoi:10.1007/s00216-021-03816-4OpenAlex
- 47top 7.3%
Surface chemistry of metal oxide nanoparticles: NMR and TGA quantification
Filip Kunc, M. Gallerneault, Oltion Kodra, Andreas Brinkmann, Gregory P. Lopinski and 1 more
43 citationsOpen access (CC-BY)doi:10.1007/s00216-022-03906-xOpenAlex
Show abstractHide abstract
Surface functionalization is widely used to control the behavior of nanomaterials for a range of applications. However, methods to accurately quantify surface functional groups and coatings are not yet routinely applied to nanomaterial characterization. We have employed a combination of quantitative NMR (qNMR) and thermogravimetric analysis (TGA) to address this problem for commercial cerium, nickel, and iron oxide nanoparticles (NPs) that have been modified to add functional coatings with (3-aminopropyl)triethoxysilane (APTES), stearic acid, and polyvinylpyrrolidone (PVP). The qNMR method involves quantification of material that is released from the NPs and quantified in the supernatant after removal of NPs. Removal of aminopropylsilanes was accomplished by basic hydrolysis whereas PVP and stearic acid were removed by ligand exchange using sodium hexametaphosphate and pentadecafluorooctanoic acid, respectively. The method accuracy was confirmed by analysis of NPs with a known content of surface groups. Complementary TGA studies were carried out in both air and argon atmosphere with…
- 48top 7.5%
A novel colorimetric sensor array for real-time and on-site monitoring of meat freshness
Wengui Nie, Yifei Chen, Hua Zhang, Jinsen Liu, Zhengchun Peng and 1 more
42 citationsdoi:10.1007/s00216-022-04176-3OpenAlex
- 49top 7.6%
Trends in hyperspectral imaging: from environmental and health sensing to structure-property and nano-bio interaction studies
Emille M. Rodrigues, Eva Hemmer
42 citationsdoi:10.1007/s00216-022-03959-yOpenAlex
- 50top 7.8%
Exhaled breath condensate as bioanalyte: from collection considerations to biomarker sensing
Sabine Szunerits, Hannes Doerfler, Quentin Pagneux, John Daniel, Shekhar Wadekar and 4 more
41 citationsOpen accessdoi:10.1007/s00216-022-04433-5OpenAlex
How to read this list
The cohort is every article, review and book chapter OpenAlex attributes to Analytical and Bioanalytical Chemistry with publication year 2022, excluding retracted works and paratext such as editorials and errata. The top 50 by citation count are listed; the percentile is the rank divided by the cohort size. 15 of the 50 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.
Other journals, same idea
Work with these 25 papers in Kahubi
- The papers land in your library with their DOIs
- Ask anything across all of them, with citations
- Draft a literature review from the same sources
Free plan, no card. Your files stay private unless you share them.
Reading several of these?
Kahubi reads papers with you, keeps every citation traceable and drafts with sources you can check. Free plan, no card.