Sequestration of zearalenone using microorganisms blend in vitro.

Zearalenone (ZEN) is an estrogenic mycotoxin produced by the Fusarium species and induces severe reproductive disorders in animals thus a major concern in the livestock industry. Probiotic bacteria treatments have been shown to inactivate mycotoxins, therefore, in this study, we investigated the effect of two commercial probiotic feed additives on the sequestration of ZEN. Commercial probiotic blends containing clay-based binder with Aspergillus niger, Bacillus licheniformis, Bacillus pumilus, and Bacillus subtilis at various proportions from BioMatrix International were incubated with ZEN in a time-dependent manner and then analyzed by Enzyme-Linked Immunosorbent Assay (ELISA) to quantify unbound ZEN. Sequestration of ZEN was further verified by using MCF-7 cell-based cytotoxicity and/or cell proliferation assays. ZEN, or probiotic mix, was nontoxic to MCF-7 cells. Probiotic blends decreased ZEN concentration by 45% (∼100 µg L-1) and prevented ZEN from inducing MCF-7 cell proliferation (20%-28% reduction). The probiotic feed supplements tested show a potential utility in ZEN neutralization.

Alginate-based antimicrobial coating reduces pathogens on alfalfa seeds and sprouts.

Foodborne illness associated with the consumption of contaminated sprouts has been a significant food safety risk. While seed disinfection with chemical sanitizers has been used as an intervention approach, its efficacy to reduce bacterial load has not been always satisfactory. In this study, a newly developed alginate-based, antimicrobial seed coating treatment was evaluated for its efficacy to reduce foodborne pathogens from alfalfa seeds and sprouts. Alfalfa seeds were inoculated with Listeria monocytogenes or Salmonella enterica serovar Typhimurium, air-dried, and thereafter subjected to different treatments. The treated seeds were analyzed for bacterial cell populations over 28 days of storage. Meanwhile, treated seeds after one day of storage were sprouted for three days and the populations of pathogens on sprouts were determined. The results showed that the alginate coating in the presence of lactic acid (alginate coating/LA) reduced both pathogens to an undetectable level one day after the treatment. With sprouts, alginate coating/LA resulted in significantly lower (P < 0.05) populations of Listeria and Salmonella than chlorine or lactic acid treatment. While the germination rate of seeds was reduced due to the use of lactic acid, the impact of alginate coating on germination was not significant. In general, this study indicated the effect of alginate coating on reducing the bacterial load from alfalfa seeds and sprouts, and further study is needed to select antimicrobial compounds and coating materials to reduce the adverse impact on germination rate.

Listeria monocytogenes: review of pathogenesis and virulence determinants-targeted immunological assays.

Listeria monocytogenes is one of the most invasive foodborne pathogens and is responsible for numerous outbreaks worldwide. Most of the methods to detect this bacterium in food require selective enrichment using traditional bacterial culture techniques that can be time-consuming and labour-intensive. Moreover, molecular methods are expensive and need specific technical knowledge. In contrast, immunological approaches are faster, simpler, and user-friendly alternatives and have been developed for the detection of L. monocytogenes in food, environmental, and clinical samples. These techniques are dependent on the constitutive expression of L. monocytogenes antigens and the specificity of the antibodies used. Here, updated knowledge on pathogenesis and the key immunogenic virulence determinants of L. monocytogenes that are used for the generation of monoclonal and polyclonal antibodies for the serological assay development are summarised. In addition, immunological approaches based on enzyme-linked immunosorbent assay, immunofluorescence, lateral flow immunochromatographic assays, and immunosensors with relevant improvements are highlighted. Though the sensitivity and specificity of the assays were improved significantly, methods still face many challenges that require further validation before use.

Listeria adhesion protein-expressing bioengineered probiotics prevent fetoplacental transmission of Listeria monocytogenes in a pregnant Guinea pig model.

Pregnancy is a high-risk factor for foodborne pathogen Listeria monocytogenes (Lm), which causes abortion, premature birth, or stillbirth. The primary route of Lm transmission is oral hence intestinal epithelial barrier crossing is a prerequisite for systemic spread. Intestinal barrier crossing, in part, is attributed to the interaction of Listeria adhesion protein (LAP) with its cognate receptor, Hsp60. In a recent study, we showed that oral-dosing of bioengineered Lactobacillus caseiprobiotic (BLP) expressing the LAP protected nonpregnant mice from lethal infection; however, its ability to prevent listeriosis during pregnancy is not known. Therefore, we investigated whether BLP could prevent fetoplacental transmission of Lm in a pregnant guinea pig model. After 14 consecutive days on probiotic (~109 CFU/ml in drinking water), pregnant guinea pigs (gestational days 24-28) were orally challenged with Lm (9 × 108-2.5 × 109 CFU/animal) and were euthanized 72 h post-infection. Maternal mesenteric lymph node (MLN), liver, spleen, lungs, blood, and placenta, and fetal liver were analyzed for the presence/absence of Lm. All tissues/organs from Lm-challenged naïve dams and fetuses were Lm positive. Similar tissue distribution was also seen in guinea pigs that received wild-type Lactobacillus casei (LbcWT). Remarkably, Lm was absent in the maternal blood, kidney, lungs, and placenta, and fetal liver from the BLP-fed group even though the Lm was present in the maternal liver, spleen, and MLN. BLP feeding also suppressed Lm-induced inflammatory response in mothers. These data highlight the potential for the prevention of fetoplacental transmission of Lm by LAP-expressing BLP during pregnancy.

Antibody- and nucleic acid-based lateral flow immunoassay for Listeria monocytogenes detection.

Listeria monocytogenes is an invasive opportunistic foodborne pathogen and its routine surveillance is critical for protecting the food supply and public health. The traditional detection methods are time-consuming and require trained personnel. Lateral flow immunoassay (LFIA), on the other hand, is an easy-to-perform, rapid point-of-care test and has been widely used as an inexpensive surveillance tool. In recent times, nucleic acid-based lateral flow immunoassays (NALFIA) are also developed to improve sensitivity and specificity. A significant improvement in lateral flow-based assays has been reported in recent years, especially the ligands (antibodies, nucleic acids, aptamers, bacteriophage), labeling molecules, and overall assay configurations to improve detection sensitivity, specificity, and automated interpretation of results. In most commercial applications, LFIA has been used with enriched food/environmental samples to ensure detection of live cells thus prolonging the assay time to 24-48 h; however, with the recent improvement in LFIA sensitivity, results can be obtained in less than 8 h with shortened and improved enrichment practices. Incorporation of surface-enhanced Raman spectroscopy and/or immunomagnetic separation could significantly improve LFIA sensitivity for near-real-time point-of-care detection of L. monocytogenes for food safety and public health applications.

Biosensor and molecular-based methods for the detection of human coronaviruses: A review.

The ongoing crisis due to the global pandemic caused by a highly contagious coronavirus (Coronavirus disease - 2019; COVID-19) and the lack of either proven effective therapy or a vaccine has made diagnostic a valuable tool in disease tracking and prevention. The complex nature of this newly emerging virus calls for scientists' attention to find the most reliable, highly sensitive, and selective detection techniques for better control or spread of the disease. Reverse transcriptase-polymerase chain reaction (RT-PCR) and serology-based tests are currently being used. However, the speed and accuracy of these tests may not meet the current demand; thus, alternative technology platforms are being developed. Nano biosensor technology platforms have been established as a promising diagnostic tool for rapid and accurate detection of viruses as well as other life-threatening diseases even in resource-limited settings. This review aims to provide a short overview of recent advancements in molecular and biosensor-based diagnosis of viruses, including the human coronaviruses, and highlight the challenges and future perspectives of these detection technologies.

Animal-Use Antibiotics Induce Cross-Resistance in Bacterial Pathogens to Human Therapeutic Antibiotics.

Exposure of bacteria to a sub-lethal dosage of antibiotic is one the major causes for the onset of antibiotic resistance. Therefore, we aimed to assess the emergence of antibiotic cross-resistance in bacteria after exposure to a sub-lethal dose of veterinary feed directive (VFD) antibiotics, tilmicosin, and florfenicol. The minimum inhibitory concentrations (MICs) of tilmicosin and florfenicol against Salmonella enterica serovar Enteritidis, Klebsiella pneumoniae, Staphylococcus aureus, and Listeria monocytogenes were determined. Next, the pathogens were exposed to a sub-inhibitory concentration of tilmicosin (0.5, 5, 20 µg/ml) and florfenicol (1, 20 µg/ml) for 24 h and 48 h, and acquired cross-resistance to human therapeutic antibiotics was measured by determining the increase in MIC values. MICs of ampicillin, tetracycline, nalidixic acid, and meropenem against Salmonella and Klebsiella were in the range of 20-1000 µg/ml, 5-62.5 µg/ml, 5-125 µg/ml, and 0.05-0.1 µg/ml, respectively, whereas MICs against Staphylococcus and Listeria were 2.5-10 µg/ml, 2.5 µg/ml, 62.5-500 µg/ml, and 0.1-0.2 µg/ml, respectively. Pre-exposure of these bacteria to a sub-inhibitory concentration of tilmicosin and florfenicol, increased cross-resistance against ampicillin, tetracycline, and nalidixic acid from 1.25- to 40-fold compared to the antibiotic unexposed bacteria with the exception of meropenem, which did not show increased resistance. This study could serve as a foundation to understand the mechanisms of acquired cross-resistance to traditional therapeutic antibiotics, and to develop strategies to alleviate such problem by using alternative antimicrobials.

Rapid detection and differentiation of Staphylococcus colonies using an optical scattering technology.

Staphylococcus species are a major pathogen responsible for nosocomial infections and foodborne illnesses. We applied a laser-based BARDOT (bacterial rapid detection using optical scattering technology) for rapid colony screening and detection of Staphylococcus on an agar plate and differentiate these from non-Staphylococcus spp. Among the six growth media tested, phenol red mannitol agar (PRMA) was found most suitable for building the Staphylococcus species scatter image libraries. Scatter image library for Staphylococcus species gave a high positive predictive value (PPV 87.5-100%) when tested against known laboratory strains of Staphylococcus spp., while the PPV against non-Staphylococcus spp. was 0-38%. A total of nine naturally contaminated bovine raw milk and ready-to-eat chicken salad samples were tested, and BARDOT detected Staphylococcus including Staphylococcus aureus with 80-100% PPV. Forty-five BARDOT-identified bacterial isolates from naturally contaminated foods were further confirmed by tuf and nuc gene-specific PCR and 16S rRNA gene sequence. This label-free, non-invasive on-plate colony screening technology can be adopted by the food industries, biotechnology companies, and public health laboratories for Staphylococcus species detection including S. aureus from various samples for food safety and public health management. Graphical abstract.

Pathogen biofilm formation on cantaloupe surface and its impact on the antibacterial effect of lauroyl arginate ethyl.

Pathogen biofilm at fruit surface may pose a particular risk to food safety. In this study, the biofilms of Listeria monocytogenes V7 and Salmonella enterica serovar Typhimurium ATCC 13311 on cantaloupe fruit surface were visualized, and the resistance of biofilms against lauroyl arginate ethyl (LAE, an antibacterial compound) was evaluated. Each bacterium was inoculated on isolated cantaloupe rind surfaces at 105-106 CFU/cm2 and after incubation for 2, 12, 24, and 48 h, the surfaces were imaged using cryo-scanning electron microscopy (Cryo-SEM). The images showed that both pathogens formed biofilms on rind surfaces, with S. Typhimurium forming biofilm in 12 h and L. monocytogenes cells starting to aggregate in 2 h. For the inoculated rind surfaces treated with LAE, the cell counts were affected by both the incubation time and LAE concentration. For rind surface with 2 h incubation of S. Typhimurium, 400 and 800 µg/mL LAE was able to achieve >2.00 log reduction; however, 12 h incubation required 1600 and 2000 µg/mL LAE for >2.00 log reduction. In contrast, even the highest LAE concentration (2000 µg/mL) was unable to cause 1.00 log reduction for L. monocytogenes regardless the incubation time applied. The results showed that the biofilms of both bacteria substantially reduced LAE efficacy, and that the biofilm of L. monocytogenes was more resistant than that of S. Typhimurium.

Erratum: Kim, K.-P.; Singh, A.K.; Bai, X.; Leprun, L.; Bhunia, A.K. Novel PCR Assays Complement Laser Biosensor-Based Method and Facilitate Listeria Species Detection from Food. Sensors 2015, 15, 22672-22691.

The authors wish to correct the oligonucleotide sequence of primer E-LAP-F1 and LIS-R1 in Table 1in their paper published in Sensors [1], doi:10.3390/s150922672, http://www.mdpi.com/1424-8220/15/9/22672. The following table should be used.[...].

Virulence Gene-Associated Mutant Bacterial Colonies Generate Differentiating Two-Dimensional Laser Scatter Fingerprints.

UNLABELLED: In this study, we investigated whether a laser scatterometer designated BARDOT (bacterial rapid detection using optical scattering technology) could be used to directly screen colonies of Listeria monocytogenes, a model pathogen, with mutations in several known virulence genes, including the genes encoding Listeria adhesion protein (LAP; lap mutant), internalin A (ΔinlA strain), and an accessory secretory protein (ΔsecA2 strain). Here we show that the scatter patterns of lap mutant, ΔinlA, and ΔsecA2 colonies were markedly different from that of the wild type (WT), with >95% positive predictive values (PPVs), whereas for the complemented mutant strains, scatter patterns were restored to that of the WT. The scatter image library successfully distinguished the lap mutant and ΔinlA mutant strains from the WT in mixed-culture experiments, including a coinfection study using the Caco-2 cell line. Among the biophysical parameters examined, the colony height and optical density did not reveal any discernible differences between the mutant and WT strains. We also found that differential LAP expression in L. monocytogenes serotype 4b strains also affected the scatter patterns of the colonies. The results from this study suggest that BARDOT can be used to screen and enumerate mutant strains separately from the WT based on differential colony scatter patterns. IMPORTANCE: In studies of microbial pathogenesis, virulence-encoding genes are routinely disrupted by deletion or insertion to create mutant strains. Screening of mutant strains is an arduous process involving plating on selective growth media, replica plating, colony hybridization, DNA isolation, and PCR or immunoassays. We applied a noninvasive laser scatterometer to differentiate mutant bacterial colonies from WT colonies based on forward optical scatter patterns. This study demonstrates that BARDOT can be used as a novel, label-free, real-time tool to aid researchers in screening virulence gene-associated mutant colonies during microbial pathogenesis, coinfection, and genetic manipulation studies.

Scalar diffraction modeling of multispectral forward scatter patterns from bacterial colonies.

A theoretical model for spectral forward scatter patterns from a bacterial colony based on elastic light scatter is presented. The spectral forward scatter patterns are computed by scalar diffraction theory, and compared with experimental results of three discrete wavelengths (405 nm, 635 nm, and 904 nm). To provide quantitative analysis, spectral dependence of diffraction ring width, gap, maxima, minima, and the first deflection point are monitored. Both model and experiment results show an excellent agreement; a longer wavelength induces a wider ring width, a wider ring gap, a smaller pattern size, and smaller numbers of rings. Further analysis using spatial fast Fourier transform (SFFT) shows a good agreement; the spatial frequencies are increasing towards the inward direction, and the slope is inversely proportional to the incoming wavelength.

Rapid identification and classification of Campylobacter spp. using laser optical scattering technology.

Campylobacter jejuni and Campylobacter coli are the two important species responsible for most of the Campylobacter infections in humans. Reliable isolation and detection of Campylobacter spp. from food samples are challenging due to the interferences from complex food substances and the fastidious growth requirements of this organism. In this study, a novel biosensor-based detection called BARDOT (BActerial Rapid Detection using Optical scattering Technology) was developed for high-throughput screening of Campylobacter colonies grown on an agar plate without disrupting the intact colonies. Image pattern characterization and principal component analysis (PCA) of 6909 bacterial colonies showed that the light scatter patterns of C. jejuni and C. coli were strikingly different from those of Salmonella spp., Escherichia coli O157:H7, and Listeria monocytogenes. Examination of a mixed culture of these microorganisms revealed 85% (34/40) accuracy in differentiating Campylobacter from the other three major foodborne pathogens based on the similarity to the scatter patterns in an established library. The application of BARDOT in real food has been addressed through the analysis of Campylobacter spiked ground chicken and naturally contaminated fresh chicken pieces. Combined with real-time PCR verification, BARDOT was able to identify Campylobacter isolates from retail chicken. Moreover, applying passive filtration to food samples facilitated the isolation of pure Campylobacter colonies and therefore overcame the interference of the food matrix on BARDOT analysis.

Novel PCR Assays Complement Laser Biosensor-Based Method and Facilitate Listeria Species Detection from Food.

The goal of this study was to develop the Listeria species-specific PCR assays based on a house-keeping gene (lmo1634) encoding alcohol acetaldehyde dehydrogenase (Aad), previously designated as Listeria adhesion protein (LAP), and compare results with a label-free light scattering sensor, BARDOT (bacterial rapid detection using optical scattering technology). PCR primer sets targeting the lap genes from the species of Listeria sensu stricto were designed and tested with 47 Listeria and 8 non-Listeria strains. The resulting PCR primer sets detected either all species of Listeria sensu stricto or individual L. innocua, L. ivanovii and L. seeligeri, L. welshimeri, and L. marthii without producing any amplified products from other bacteria tested. The PCR assays with Listeria sensu stricto-specific primers also successfully detected all species of Listeria sensu stricto and/or Listeria innocua from mixed culture-inoculated food samples, and each bacterium in food was verified by using the light scattering sensor that generated unique scatter signature for each species of Listeria tested. The PCR assays based on the house-keeping gene aad (lap) can be used for detection of either all species of Listeria sensu stricto or certain individual Listeria species in a mixture from food with a detection limit of about 104 CFU/mL.

Protocol to reveal the binding partner of secreted housekeeping enzymes in Listeria monocytogenes via in silico prediction to in vivo validation.

Numerous interacting protein partners exist without recognized interactive domains, necessitating a standardized methodology to decipher more in-depth interaction profiles. Here, we present a protocol to reveal the binding partner of a secreted housekeeping enzyme, alcohol acetaldehyde dehydrogenase (Listeria adhesion protein), in Listeria monocytogenes through in silico modeling and in vivo experiments. We describe steps for target protein modeling, biophysical profiling, ClusPro docking optimization, protein variant modeling, and docking comparison. We then provide detailed procedures for in vitro and in vivo protein binding validation. For complete details on the use and execution of this protocol, please refer to Liu et al.1.

Listeria adhesion protein orchestrates caveolae-mediated apical junctional remodeling of epithelial barrier for Listeria monocytogenes translocation.

The cellular junctional architecture remodeling by Listeria adhesion protein-heat shock protein 60 (LAP-Hsp60) interaction for Listeria monocytogenes (Lm) passage through the epithelial barrier is incompletely understood. Here, using the gerbil model, permissive to internalin (Inl) A/B-mediated pathways like in humans, we demonstrate that Lm crosses the intestinal villi at 48 h post-infection. In contrast, the single isogenic (lap- or ΔinlA) or double (lap-ΔinlA) mutant strains show significant defects. LAP promotes Lm translocation via endocytosis of cell-cell junctional complex in enterocytes that do not display luminal E-cadherin. In comparison, InlA facilitates Lm translocation at cells displaying apical E-cadherin during cell extrusion and mucus expulsion from goblet cells. LAP hijacks caveolar endocytosis to traffic integral junctional proteins to the early and recycling endosomes. Pharmacological inhibition in a cell line and genetic knockout of caveolin-1 in mice prevents LAP-induced intestinal permeability, junctional endocytosis, and Lm translocation. Furthermore, LAP-Hsp60-dependent tight junction remodeling is also necessary for InlA access to E-cadherin for Lm intestinal barrier crossing in InlA-permissive hosts. IMPORTANCE: Listeria monocytogenes (Lm) is a foodborne pathogen with high mortality (20%-30%) and hospitalization rates (94%), particularly affecting vulnerable groups such as pregnant women, fetuses, newborns, seniors, and immunocompromised individuals. Invasive listeriosis involves Lm's internalin (InlA) protein binding to E-cadherin to breach the intestinal barrier. However, non-functional InlA variants have been identified in Lm isolates, suggesting InlA-independent pathways for translocation. Our study reveals that Listeria adhesion protein (LAP) and InlA cooperatively assist Lm entry into the gut lamina propria in a gerbil model, mimicking human listeriosis in early infection stages. LAP triggers caveolin-1-mediated endocytosis of critical junctional proteins, transporting them to early and recycling endosomes, facilitating Lm passage through enterocytes. Furthermore, LAP-Hsp60-mediated junctional protein endocytosis precedes InlA's interaction with basolateral E-cadherin, emphasizing LAP and InlA's cooperation in enhancing Lm intestinal translocation. This understanding is vital in combating the severe consequences of Lm infection, including sepsis, meningitis, encephalitis, and brain abscess.

Rapid sample processing for detection of food-borne pathogens via cross-flow microfiltration.

This paper reports an approach to enable rapid concentration and recovery of bacterial cells from aqueous chicken homogenates as a preanalytical step of detection. This approach includes biochemical pretreatment and prefiltration of food samples and development of an automated cell concentration instrument based on cross-flow microfiltration. A polysulfone hollow-fiber membrane module having a nominal pore size of 0.2 µm constitutes the core of the cell concentration instrument. The aqueous chicken homogenate samples were circulated within the cross-flow system achieving 500- to 1,000-fold concentration of inoculated Salmonella enterica serovar Enteritidis and naturally occurring microbiota with 70% recovery of viable cells as determined by plate counting and quantitative PCR (qPCR) within 35 to 45 min. These steps enabled 10 CFU/ml microorganisms in chicken homogenates or 10(2) CFU/g chicken to be quantified. Cleaning and sterilizing the instrument and membrane module by stepwise hydraulic and chemical cleaning (sodium hydroxide and ethanol) enabled reuse of the membrane 15 times before replacement. This approach begins to address the critical need for the food industry for detecting food pathogens within 6 h or less.

Multiplex fiber optic biosensor for detection of Listeria monocytogenes, Escherichia coli O157:H7 and Salmonella enterica from ready-to-eat meat samples.

Listeria monocytogenes, Escherichia coli O157:H7 and Salmonella enterica are the most common foodborne bacterial pathogens and are responsible for many outbreaks. Therefore, multiplex detection of these three using a single assay platform is highly desirable. The objective was to develop and optimize a fiber optic sensor for simultaneous detection of these three from food. The streptavidin coated optical waveguides were immobilized with biotinylated polyclonal antibodies and exposed to the bacterial suspensions or enriched food samples for 2 h. Pathogens were detected after reacting with Alexa-Fluor 647-labeled monoclonal antibodies. Ready-to-eat beef, chicken and turkey meats were inoculated with each pathogen (~100 cfu/25 g), enriched in SEL (Salmonella, E. coli, Listeria), a multipathogen selective enrichment broth for 18 h and tested with the biosensor. The biosensor was able to detect each pathogen, individually or in a mixture with very little cross-reactivity. The limit of detection for the sensor was ~10(3) cfu/ml for all three pathogens. Furthermore, the biosensor successfully detected each pathogen, grown in a mixture from enriched meat samples under 24 h. The pathogen presence was further verified by PCR and immunofluorescence assay. The multiplex fiber optic sensor shows promise for detection of the three pathogens if present in the same sample eliminating the use of multiple single pathogen detection platforms.

Bioinformatic Approaches for Characterizing Molecular Structure and Function of Food Proteins.

Structural bioinformatics analyzes protein structural models with the goal of uncovering molecular drivers of food functionality. This field aims to develop tools that can rapidly extract relevant information from protein databases as well as organize this information for researchers interested in studying protein functionality. Food bioinformaticians take advantage of millions of protein amino acid sequences and structures contained within these databases, extracting features such as surface hydrophobicity that are then used to model functionality, including solubility, thermostability, and emulsification. This work is aided by a protein structure-function relationship framework, in which bioinformatic properties are linked to physicochemical experimentation. Strong bioinformatic correlations exist for protein secondary structure, electrostatic potential, and surface hydrophobicity. Modeling changes in protein structures through molecular mechanics is an increasingly accessible field that will continue to propel food science research.

Physicochemical characterization of changes in pea protein as the result of cold extrusion.

Pea protein is a popular plant-based protein for mimicking textures in meat and dairy analogues which are more sustainable than their animal-based counterparts. However, precise mechanisms for generating specific textures through different processing methods are still being evaluated. This work utilizes a novel low-temperature extrusion process to selectively alter the chemical structure of pea protein. Changes in secondary structure, surface hydrophobicity, electrostatic interactions, and disulfide bonding are characterized through FTIR, ANS- probes, zeta potential, and SDS-PAGE. Extrudates are further characterized using texture parameter analysis. It was found that a linear combination of physicochemical data, generated with multiple linear regression modelling, led to reasonable estimates of the specific mechanical energy and textural properties. This work offers a new method of reactive extrusion to selectively modify interactions in pea protein using low temperature extrusion, and applications may include fatty textures, since the extrudates are found to be largely stabilized through hydrophobic interactions evaluated with surface hydrophobicity measurements.