Optimized Extraction Protocol Research Articles

The total saponins from Chinese onion exert pronounced anti-hypercholesterolaemia activity in mice

AbstractChinese onion (Allium chinense G. Don) is an edible vegetable as well as a traditional Chinese medicine. It is rich in steroidal saponins and possesses broad health benefits. In this study, the optimal extraction protocol of the total saponins from Chinese onion (ACS) was explored, and the content of the total steroidal saponins in ACS reached 56.62%. Network pharmacology was applied to predict the related signalling pathways and targets between the main phytochemicals in ACS and hypercholesterolaemia. Enrichment analysis showed that ACS might intervene hypercholesterolaemia through the PI3K-Akt signalling pathway. Meanwhile, cholesterol-lowering effects were verified by ACS intervention in high-cholesterol diet-induced hypercholesterolaemia in Kunming mice. Compared with the model group, the TC and LDL-C levels of mice were decreased and the HDL-C level increased significantly after administration of ACS at a dose of 200 mg kg−1 day−1. The body weight gain, liver index, and atherosclerosis index all decreased dramatically. ACS could significantly reduce the fat content in the liver and reduce the number of fat droplets from the haematoxylin and eosin (H&E) staining of mouse liver. The immunohistochemical staining indicated that ACS could up-regulate the expression of PI3K protein in the liver, thus playing an anti-hypercholesterolaemic role. This study indicated that ACS exhibited significant therapeutic and preventive effects on hypercholesterolaemia, and exerted anti-hypercholesterolaemia through the PI3K-Akt signalling pathway.

Characterization of melanin from Exophiala mesophila with the prospect of potential biotechnological applications.

Fungal melanin is an underexplored natural biomaterial of great biotechnological interest in different areas. This study investigated the physical, chemical, electrochemical, and metal-binding properties of melanin extracted from the metallotolerant black fungus Exophiala mesophila strain IRTA-M2-F10. Specific inhibitory studies with tricyclazole and biochemical profiling of whole cells by synchrotron radiation-based Fourier-transform infrared spectral microscopy (SR-FTIRM) were performed. An optimized extraction protocol was implemented, and purified fungal melanin was characterized using an array of spectrophotometric techniques (UV-Vis, FTIR, and EPR) and by cyclic voltammetry (CV) experiments. The metal-binding capacity of melanin extracts was also assessed by using Cr(VI) as a model heavy metal. Inhibitory studies indicated that 1,8-dihydroxynaphthalene may be the main precursor molecule of E. mesophila melanin (DHN-melanin). The biochemical characterization of fungal melanin extracts were benchmarked against those from two melanins comprising the precursor molecule L-3,4-dihydroxiphenylalanine (DOPA-melanin): extracts from the ink of the cephalopod Sepia officinalis and DOPA-melanin synthesized in the laboratory. The CV results of melanin extracts incubated with and without cell suspensions of the electroconductive bacterium Geobacter sulfurreducens were indicative of novel semiquinone/hydroquinone redox transformations specific for each melanin type. These interactions may play an important role in cation exchange for the adsorption of metals and in microbial interspecies electron transfer processes. The obtained results provided further evidence for the DHN-nature of E. mesophila melanin. The FTIR profiling of melanin extracts exposed to Cr(VI), compared to unexposed melanin, resulted in useful information on the distinct surface-binding properties of fungal melanin. The parameters of the Langmuir and Freundlicht isotherms for the adsorption of Cr(VI) were determined and compared to bibliographic data. Altogether, the inherent properties of fungal melanin suggest its promising potential as a biomaterial for environmental applications.

Achyranthes bidentate extracts protect the IL-1β-induced osteoarthritis of SW1353 chondrocytes

Osteoarthritis, the most common joint disease worldwide, is a degenerative disease characterized by cartilage degeneration and inflammation. The active ingredients in the traditional Chinese medicinal plant Achyranthes bidentate can be used to treat waist, leg, and joint pain caused by rheumatism arthralgia. In this study, we identified the optimal microwave extraction protocol for saponins from A.bidentate, evaluated their protective effects against IL-1β-induced inflammation in SW1353 human chondrocytes, and explored their protective pathway. The microwave-extraction parameters required to obtain the maximum yield of A.bidentate saponins using 80% ethanol were identified using response surface methodology. The parameters were solid-liquid ratio, 1:10; extraction time, 20min; power, 721W; temperature, 65°C. The actual yield of saponins extracted was to be 194.01μg/mg extract. The SW1353cells were pretreated with A.bidentate extract (ABE) at a concentration of 50 or 100μg/mL for 3h, after which an inflammatory response was stimulated using IL-1β. The ABE significantly reduced the expression of proinflammatory factors IL-6, TNF-α, COX-2, iNOS, PGE2, and NO, and inhibited NF-κB activity, effectively attenuating the inflammatory response. ABE also inhibited MMP13 and ADAMTS-5 expression, reducing IL-1β-induced degradation of the extrachondral matrix. This confirmed that ABE effectively inhibits NF-κB activity and reduces IL-1β-induced inflammation, extracellular matrix degradation, and expression of apoptotic proteins Bax and caspase-3. Therefore, ABE has potential as a new botanical drug for preventing osteoarthritis.

P14 Optimization of real-time sequencing for rapid detection of bacterial species and antimicrobial resistance in blood and urine infections

Abstract Objectives To optimize the process to obtain bacterial DNA directly from human urine and blood samples to produce high-quality genomic data using long-read Nanopore sequencer. Methods A total of 22 blood cultures and 24 urine samples positive for Escherichia coli or Klebsiella pneumoniae and corresponding isolates were collected from the microbiology diagnostics laboratory. DNA isolation optimization was performed testing three different sample volumes and seven DNA extraction kits. DNA concentration was quantified with Qubit fluorometer. Nanopore sequencing was performed on a MinION Mk1C device in R9.4.1 flow cells using the Rapid Barcoding Kit. Bacterial species and antimicrobial resistance (AMR) genes were determined with EPI2ME ARMA pipeline. Genomes were assembled with Flye, polished with Medaka and remaining human contigs removed with Krakentools. Bacterial isolates from the same samples were also sequenced using Illumina technology. Illumina and Nanopore assemblies were quality checked with Quast, Kraken was used to identify bacterial species, MLST for multilocus sequence typing and ABRicate with ResFinder database to detect AMR genes. Results A total of 72 DNA extractions from 24 urine and 22 blood samples with different kits were performed to find the optimal extraction protocol for each sample type. DNA from urine samples was isolated from 5 mL, while 1 mL was best for blood cultures. We found that the host depletion step prior to DNA extraction using MolYsis basic 5 Kit (VH-Bio) was essential. DNA from urine samples was extracted with GenElute Bacterial Genomic DNA Kit (Merck) and QIAamp Biostic bacteremia Kit (Qiagen) was best to allow successful bacterial genome sequencing for blood samples. Bacterial isolates from 11 urine and 1 blood sample (out of 54 sequenced) were successfully sequenced. In all 12 cases, the highest percentage of bacterial reads matched with the causative organism found during routine microbiology diagnostics (E. coli). A variety of clinically relevant AMR genes were detected, such as dfrA and bla CTX-M genes, which matched the phenotypic antimicrobial susceptibility testing results. Comparison of genomic assemblies obtained through Nanopore sequencing of 10 urine samples and Illumina sequencing of the corresponding clinical isolates showed a high degree of matching, validating Nanopore sequencing as an alternative option to support diagnosis and treatment choice. Conclusions We have successfully optimized the protocols to extract and sequence pathogenic bacterial DNA directly from blood and urine samples. Short-read sequencing confirmed results acquired by Nanopore sequencer, endorsing long-read sequencing in clinical settings to support timely diagnosis and treatment.

Microplastics contaminant in Telescopium telescopium (gastropods), the keystone mangrove species and their habitat at brackish water pond, East Java, Indonesia

Microplastics (MPs) have become a compelling topic of discussion, particularly after numerous studies reported their presence in aquatic ecosystems, which can contaminate pond areas directly connected to water. Therefore, this study aimed to identify the abundance and the characteristics of MPs in surface water, sediment, and T. telescopium (Gastropods) in pond areas. The samples were obtained from three site categories, namely rivers, canals, and ponds, located in the Pasuruan pond areas, East Java, Indonesia. After an optimized extraction protocol, a stereomicroscope and Fourier transform infrared spectroscopy (FTIR) spectroscopic imaging was used to identify MPs polymer. The results showed that the average MPs abundance in the three site categories were 33.87 ± 8.95, 21.73 ± 10.28, and 3.77 ± 1.90 particles/L at surface water, 404.43 ± 101.18, 328.88 ± 98.8, and 317.77 ± 100.07 particles/kg dry weight (dw) at sediment and 5.7 ± 5.03, 5.8 ± 5.27, and 4.4 ± 3.86 particles/individual or 0.8 ± 0.7, 0.8 ± 0.8, and 0.63 ± 0.51 particles/g wet weight (ww) at T. telescopium. The forms found were fragments, fibers, films, and pellets, while the dominant colors were black, blue, red, and white, and the highest amounts were <300 μm in size. Subsequently, the polymer types identified were Low-Density Polyethylene (LDPE), Ethylene Vinyl Acetate (EVA), Latex, High-Density Polyethylene (HDPE), Polypropylene (PP), Polyvinyl Chloride (PVC), Polycarbonate, and Polystyrene (PS). Further study is needed to understand MPs impact in brackish water aquaculture and the role of T. telescopium as a MPs bioindicator agent in aquatic ecosystems.

Selection of the optimal extraction protocol to investigate the interaction between trace elements and environmental plastic

The interaction between environmental plastic and trace elements is an issue of concern. Understanding their interaction mechanisms is key to evaluate the potential threats for the environment. To this regard, consolidating confidence in extraction protocols can help in understanding the amount of different species present on plastic surface, as well as the potential mobility of trace elements present inside the plastic matrix (e.g., additives). Here we tested the efficacy of different reagents to mimic the elemental phases bonded to meso- and microplastic in the environment, in relation to the grade of ageing and the polymer composition. Results showed that a relatively high portion of trace elements is bonded in a weak phase and that other phases abundant in other matrices (e.g., oxides and bonded to organic matter) are only present to a limited degree in the plastic samples. The comparison of different sample types highlighted the important role of plastic ageing in governing interactions with trace elements, while the polymer composition has a limited influence on this process. Finally, the future steps toward a tailored extraction scheme for environmental plastic are proposed.

Characterization, risk assessment, and source estimation of PM10-bound polycyclic aromatic hydrocarbons during wintertime in the ambient air of Basrah City, Iraq

In this study, the concentration and structure of polycyclic aromatic hydrocarbons (PAHs) associated with the ambient PM10 in Basrah City, Iraq have been investigated for the first time. From December 2021 to February 2022, PM10 samples were collected on quartz fiber filters, extracted using an optimized extraction protocol, and analyzed for the sixteen US EPA priority PAHs. The results indicated that 4- and 5-ring PAHs represent 52% of the total detected PAHs. The most abundant PAHs over the study period were chrysene (1.2 ± 1.5 ng m−3), fluorene (0.9 ± 1.4 ng m−3), and benzo[b]fluoranthene (0.7 ± 0.9 ng m−3). Source identification suggested that PM10-bound PAHs primarily originated from pyrogenic and petrogenic activities in Basrah City. In addition, the cancer risk associated to PAH exposure was assessed based on benzo[a]pyrene equivalent concentration and was found ranging from 0.07 to 6.32 ng m-3; hence, it exceeded the threshold limit of 1.0 ng m−3 established by the European legislation (EU, 2014). Benzo[a]pyrene was determined to be main contributor to total carcinogenic power of the detected PAHs, accounting for 50.3%, followed by dibenz[a,h]anthracene (22.3%). Similarly, benzo[a]pyrene represented a major contributor to PAH associated mutagenicity, accounting for 43.5% of the total.

Assessment of developed paper strip based sensor with pesticide residues in different dairy environmental samples

According to the results of this study, the paper strip biosensor can detect pesticide at very low concentration like fungicide, organochlorine, organophosphate, carbamate, and herbicide group ranges from 1 to 10, 1–50, 250–500, 1–50, and 1 μg/L, respectively in animal feed, water, milk and soil. This is a significant improvement from the previous study, which found that the paper strip biosensor could only detect pesticide levels of up to 500 or 1000 μg/L. A total of 436 samples were collected from the dairy farm, including 58 samples of green feed, 54 samples of dry feed, 45 samples of concentrated feed, 41 samples of fermented feed, 49 samples of manure, 54 samples of soil, and 86 samples of milk. PSA (Primary Secondary Amine) and MgSO4 (1:2 ratio) were used to remove pigments from dairy farm samples to prevent the enzyme–pesticide interaction leading to colour development on the strip, which was successfully achieved. Using a strip-based test and an optimized extraction protocol, pesticides were detected in 38.49% in the samples. Limit of Detection of 15 pesticides from the organochlorine, organophosphate, carbamate, neonicotinoid, pyrethroid, ryanoid, strobilurins, and triazole groups recommended for use in dairy farms were evaluated in feed/fodder. Pesticides were being detected in various dairy farm matrices using the newly developed test. The developed technology can be used as a semi-quantitative test for pesticides monitoring in the dairy farm as well as for screening of primary produce under field condition for organic certification of various food/feed commodities.

Eumelanin from the Black Soldier Fly as Sustainable Biomaterial: Characterisation and Functional Benefits in Tissue-Engineered Composite Scaffolds.

An optimized extraction protocol for eumelanins from black soldier flies (BSF-Eumel) allows an in-depth study of natural eumelanin pigments, which are a valuable tool for the design and fabrication of sustainable scaffolds. Here, water-soluble BSF-Eumel sub-micrometer colloidal particles were used as bioactive signals for developing a composite biomaterial ink for scaffold preparation. For this purpose, BSF-Eumel was characterized both chemically and morphologically; moreover, biological studies were carried out to investigate the dose-dependent cell viability and its influence on human mesenchymal stem cells (hMSCs), with the aim of validating suitable protocols and to find an optimal working concentration for eumelanin-based scaffold preparation. As proof of concept, 3D printed scaffolds based on methacrylated hyaluronic acid (MEHA) and BSF-Eumel were successfully produced. The scaffolds with and without BSF-Eumel were characterized in terms of their physico-chemical, mechanical and biological behaviours. The results showed that MEHA/BSF-Eumel scaffolds had similar storage modulus values to MEHA scaffolds. In terms of swelling ratio and stability, these scaffolds were able to retain their structure without significant changes over 21 days. Biological investigations demonstrated the ability of the bioactivated scaffolds to support the adhesion, proliferation and osteogenic differentiation of human mesenchymal stem cells.

Enhancing extraction of alginate like extracellular polymers (ALE) from flocculent sludge by surfactants.

Alginate like extracellular polymers (ALE) recovered from flocculent sludge has been identified as a kind of highly valuable biomaterials. However, the extraction protocols limit the production of biopolymers as ALE extracted from flocculent sludge is at a lower level, around 90-190 mg/g VSS. Under this circumstance, the eco-friendly and effective optimizations for the ALE extraction protocols are expected, and thus surfactants have gained an attention to enhancing the ALE extraction. With this study, different surfactants with different structures and chemical characteristics, such as sodium dodecyl sulfate (SDS), cetyltrimethylammonium bromide (CTAB) and octyl phenyl polyoxyethylene ether (Triton X-100), were experimented to improve the ALE extraction, and in turn the optimal conditions and the associated mechanisms were evaluated and figured out. The experimental results indicated that surfactants could enhance the ALE extraction but also improve the alginate purification of ALE. With the optimal dosage of surfactants, the ALE extraction increased from 124.1 mg/g VSS to about 222.8-281.9 mg/g VSS, and the alginate purify was at around 54%-70%, in which the efficiency of the ALE extraction was improved by 79.5%-127.2%. Among others, Triton X-100 had the best performance on improving the ALE extraction, followed by CTAB and SDS. The mechanisms of surfactants on enhancing the ALE extraction and improving the alginate purify can be attributed to: i) surfactants micelles, which can solubilize flocs and extracellular biopolymers; ii) similar structures of surfactants and ALE, which follows the rule of "like dissolves like"; iii) functional groups adsorption, which facilitates the ALE release from matrixes. In a word, the optimized extraction protocol by using surfactants can be effectively applied to extract ALE from flocculent sludge.

AuNPs-based lateral flow immunoassay for point-of-needs analysis of four neonicotinoids in tea samples: Effects of grinding degrees, solvent types and contents on extraction efficiency

The higher extraction efficiency of analytes is crucial for developing immunoassays with high accuracy. Here, we evaluated the extraction efficiency of neonicotinoids in tea samples in terms of grinding degrees, extraction solvents types and contents. Fragments for fresh tea leaves (1 g, 5–10 mm2) or tea powder (1 g, 35 mesh) for commercial tea was extracted with 100 % methanol. The extraction (1 mL) was diluted 10-fold with buffer solution, and then submitted to gold nanoparticles-based lateral flow immunoassay. This optimal extraction protocol exhibited a higher extraction efficiency (72.4–99.3 %) for the positive neonicotinoids samples. The cut-off values of lateral flow immunoassay were 0.325 or 0.65 μg/g, 0.3 or 0.45 μg/g, 0.3 or 0.45 μg/g, 0.03 or 0.06 μg/g for thiamethoxami, clothianidin, acetamiprid and midacloprid in fresh tea leaves and commercial tea. In summary, this proposed lateral flow immunoassay can be used as the point-of-needs analysis method for four neonicotinoids in tea.

Seasonal and spatial distribution of microplastics in sediments by FTIR imaging throughout a continuum lake - lagoon- beach from the Tunisian coast

Plastics pollution in marine environment has become an issue of increasing scientific concern. This work aims to study the temporal and spatial distribution of plastics in sediments from three different Tunisian ecosystems; Rimel Beach, Bizerta lagoon and Ichkeul lake. Sediment sampling was conducted in surface (2 cm) and depth (15 cm) during spring, summer and winter. Plastics debris were separated by size fractions: macro (>5 mm), meso (1–5 mm) and microplastics (<1 mm) to optimize the time necessary for their characterisation. Macroplastics and mesoplastics were identified using an IR Attenuated total reflectance (ATR) and microplastics with Imaging Fourier transform infrared spectroscopy (FTIR) spectroscopy after an optimized extraction protocol. Results indicate that, the lowest contamination degree with macroplastics was recorded in Ichkeul lake, 2 macro debris/m2 (marine protected area, national parc of Ichkeul). Mesoparticles were only detected in lagoon of Bizerte in large quantities (4900 item/kg of sediment in surface and 680 item/kg of sediment in depth) and were identified principally as paint products. For microplastics, the repartition was quite homogeneous between the three sites with an average abundance was 130.55 ± 65.61 items/kg for all seasons. The variations of microplastics abundances on the three sites could not be clearly related to the seasons. Whereas the polymer characterisation in the surface and depth sediments of the three studied areas were principally due to eight types of polymers (PVC, PET, PP, PE PS, Polyamide (PA) and polymeric methyl methacrylate (PMMA)) as reported in many other studies, surprisingly all MPs recovered in the study were smaller than 300 μm, >70 % being fragments. This study brings new results as regards to the state of plastic contamination in Tunisian coast and shows the importance of investigating different ecosystems in such studies.

Deep Metabolic Profiling Assessment of Tissue Extraction Protocols for Three Model Organisms.

Metabolic profiling harbors the potential to better understand various disease entities such as cancer, diabetes, Alzheimer’s, Parkinson’s disease or COVID-19. To better understand such diseases and their intricate metabolic pathways in human studies, model animals are regularly used. There, standardized rearing conditions and uniform sampling strategies are prerequisites towards a successful metabolomic study that can be achieved through model organisms. Although metabolomic approaches have been employed on model organisms before, no systematic assessment of different conditions to optimize metabolite extraction across several organisms and sample types has been conducted. We address this issue using a highly standardized metabolic profiling assay analyzing 630 metabolites across three commonly used model organisms (Drosophila, mouse, and zebrafish) to find an optimal extraction protocol for various matrices. Focusing on parameters such as metabolite coverage, concentration and variance between replicates we compared seven extraction protocols. We found that the application of a combination of 75% ethanol and methyl tertiary-butyl ether (MTBE), while not producing the broadest coverage and highest concentrations, was the most reproducible extraction protocol. We were able to determine up to 530 metabolites in mouse kidney samples, 509 in mouse liver, 422 in zebrafish and 388 in Drosophila and discovered a core overlap of 261 metabolites in these four matrices. To enable other scientists to search for the most suitable extraction protocol in their experimental context and interact with this comprehensive data, we have integrated our data set in the open-source shiny app “MetaboExtract”. Hereby, scientists can search for metabolites or compound classes of interest, compare them across the different tested extraction protocols and sample types as well as find reference concentration values.

Novel in-house mixed-mode ion-exchange materials for sorptive phase extraction techniques

• In-house mixed-mode ion-exchange materials have been developed. • They included different core materials (silica, polymeric, etc.) and functional groups. • Mixed-mode ion-exchange materials have been exploited in different extraction techniques. • The extraction conditions should be properly optimised to exploit ionic interactions. • Several compounds have been extracted from different type of samples using mixed-mode materials. Mixed-mode ion-exchange materials have been implanted in different sorptive extraction techniques as they combine capacity and selectivity in a single material. They are a good option for concentrating ionic (or ionisable) compounds from complex samples using an appropriate washing step that simplifies the sample matrix. Research into the development of in-house mixed-mode ion-exchange materials is therefore a field of scientific interest. These materials are developed with the aim to improve the features of both the core and the ionic moieties attached. The study of the optimal extraction protocol to exploit the ionic interactions between the material and the target compounds is a key point in method development. This review is an overview of the preparation, characterisation, evaluation and application of in-house mixed-mode ion-exchange materials. It mainly covers the technique of solid-phase extraction; however, the latest advances in solid-phase microextraction, stir bar sorptive extraction and other emerging microextraction techniques are also presented. Examples of different applications that cover the extraction of different compounds in several types of samples are also illustrated.

Glycerol-based NaDES as green solvents for ultrasound-assisted extraction of phycocyanin from Arthrospira platensis—RSM optimization and ANN modelling

Phycocyanin, a natural blue phycobiliprotein extracted from cyanobacteria, recently focused the interest of food industry as promising pigment and antioxidant. Eco-extraction of phycocyanin via ultrasound using five glycerol-based NaDES was described here. Response surface methodology (RSM) and artificial neural network (ANN) were adapted for the generation of predictive models to simulate and optimize phycocyanin extraction. Input parameters were extraction time (15–60 min), temperature (25–50 °C) and water addition (20–60%). Two original glycerol-based NaDES, glycerol:glucose:betaine (4:1:1) and glycerol:glucose:proline (4:1:1), displayed the highest phycocyanin recovery, combined with high free radical scavenging activity. Additionally, a stabilizing effect of NaDES on phycocyanin was highlighted after accelerated ageing. Optimized extraction protocol developed here allowed then the extraction, pre-formulation and stabilization of phycocyanin in one step, opening the way to a sustainable formulation of this bioactive pigment for food industry.

Microwave-Assisted Hydrodistillation of Hop (Humulus lupulus L.) Terpenes: A Pilot-Scale Study.

Interest in essential oils has consistently increased in recent years. Essential oils have a large variety of applications in multiple fields, including in the food, cosmetics and pharmaceutical industries. The volatile fraction (VF) in hops (Humulus lupulus L.) fits within this domain as it is primarily used in the brewery industry for the aromatization of beer, and is responsible for the floral and fruity tones. This work aims to design an optimized extraction protocol of the VF from hops, using microwaves. Microwave-assisted hydrodistillation (MAHD) has been developed to reduce energy and time consumption in lab-scale reactors up to industrial-scale systems. Hops are principally available in three forms, according to a brewery’s applications: (i) fresh (FH); (ii) dried (DH) and (iii) pelletized (PH). In this work, all three forms have therefore been studied and the recovered volatiles characterized by means of GC-MS. The optimized lab-scale MAHD protocol gave the best extraction yield of 20.5 mLVF/kgdry matrix for FH. This value underwent a slight contraction when working at the highest matrix amount (3 kg), with 17.3 mLVF/kgdry matrix being achieved. Further tests were then performed in a pilot reactor that is able to process 30 kg of material. In this case, high yield increases were observed for PH and DH; quadruple and double the lab-scale yields, respectively. In addition, this industrial-scale system also provided marked energy savings, practically halving the absorbed kJ/mLVF.

A UHPLC-MS/MS Method for the Detection of Meat Substitution by Nine Legume Species in Emulsion-Type Sausages.

Meat substitution by legume proteins in various types of meat products is a common practice. A reliable detection and quantification of these additives is required to control food specifications, especially regarding food fraud. Consequently, a UHPLC-MS/MS method for the simultaneous detection of alfalfa (Medicago sativa), broad bean (Vicia faba), chickpea (Cicer arietinum), lentil (Lens culinaris), lupine (Lupinus albus and Lupinus angustifolius), pea (Pisum sativum), peanut (Arachis hypogaea), and soy (Glycine max) proteins in meat products was developed. After protein extraction and tryptic digestion, three marker peptides for each legume species were measured by multiple reaction monitoring (MRM) using an optimized extraction protocol. To the best of our knowledge, the marker peptides for alfalfa, broad bean, chickpea, and lentil have not been reported previously. Emulsion-type sausages with 0.1, 0.4, 0.7, 1.0, 1.3, 1.6, 1.9, 2.2, and 2.5% meat substitution by each legume species, representing the concentration range between inadvertently transferred cross-contaminations and the conscious use for meat substitution, were produced for matrix calibration. No false-positive results were recorded in blank samples. In the quantification of alfalfa, broad bean, chickpea, lentil, pea, peanut, and soy, 673 of 756 measuring data of the recovery rate in unknown sausages were in the accepted range of 80–120%.

Information thermodynamics of financial markets: the Glosten–Milgrom model

The Glosten–Milgrom model describes a single asset market, where informed traders interact with a market maker, in the presence of noise traders. We derive an analogy between this financial model and a Szilárd information engine by (i) showing that the optimal work extraction protocol in the latter coincides with the pricing strategy of the market maker in the former and (ii) defining a market analogue of the physical temperature from the analysis of the distribution of market orders. Then we show that the expected gain of informed traders is bounded above by the product of this market temperature with the amount of information that informed traders have, in exact analogy with the corresponding formula for the maximal expected amount of work that can be extracted from a cycle of the information engine. This suggests that recent ideas from information thermodynamics may shed light on financial markets, and lead to generalised inequalities, in the spirit of the extended second law of thermodynamics.

Exploring different methods of cellulose extraction for 14C dating.

In this study we aim to identify the optimal cellulose extraction protocol for 14C dating of wood, with a focus on glacial trees. To achieve this, we compare three cellulose extraction methods on the basis of cellulose yield and 14C age. The study is conducted on 12 wood samples of different species, in varying states of preservation with ages covering the full 14C age range. Cellulose is extracted from each sample following three different protocols selected from the literature: ABA-B, BABAB and 2Chlorox. The extracted cellulose was graphitised and dated with the MICADAS (Mini Carbon Dating System) at the ETH AMS laboratory. Although all three methods are considered efficient, the BABAB protocol, despite being a more aggressive procedure, allows the extraction of a sufficient amount of cellulose to be 14C dated and leads to the most reliable results, particularly for very old and background samples (samples with 14C content of zero).

Authentication of nine poultry species using high-performance liquid chromatography–tandem mass spectrometry

The fraudulent substitution of high-quality with lower priced poultry meat is quite conceivable and consumers’ concerns have been reported previously. A reliable authentication of the poultry species is required to control specifications. Consequently, an HPLC-MS/MS method for the simultaneous detection of chicken, duck, goose, guinea fowl, ostrich, pheasant, pigeon, quail and turkey in raw and heated meat was developed. Potential marker peptides were identified by a shotgun proteomic approach (HPLC-QToF-MS/MS) after protein extraction followed by tryptic digestion, testing different conditions for extraction in order to extract a broad spectrum of proteins from each species. The final twenty-eight marker peptides selected, which are specific for one of the nine targeted species each, and one common turkey/chicken peptide were measured by multiple reaction monitoring (MRM) using an optimized extraction protocol. To the best of our knowledge, twenty-three of these marker peptides have not been reported previously. The suitability of the marker peptides was verified by the analysis of 42 different poultry samples from the nine species included in this study. All twenty-nine marker peptides were heat stable.