Growth of Listeria monocytogenes in fresh vegetables and vegetable salad products: An update on influencing intrinsic and extrinsic factors.

The ability of foodborne pathogens to grow in food products increases the associated food safety risks. Listeria monocytogenes (Lm) is a highly adaptable pathogen that can survive and grow under a wide range of environmental circumstances, including otherwise inhibitory conditions, such as restrictive cold temperatures. It can also survive long periods under adverse environmental conditions. This review examines the experimental evidence available for the survival and growth of Lm on fresh vegetables and ready-to-eat vegetable salads. Published data indicate that, depending on certain intrinsic (e.g., nutrient composition) and extrinsic factors (e.g., storage temperature, packaging atmosphere), Lm can survive on and in a wide variety of vegetables and fresh-cut minimally processed vegetable salads. Studies have shown that temperature, modified atmosphere packaging, relative humidity, pH, water activity, background microbiota of vegetables, microbial strain peculiarities, and nutrient type and availability can significantly impact the fate of Lm in vegetables and vegetable salads. The influence of these factors can either promote its growth or decline. For example, some studies have shown that background microbiota inhibit the growth of Lm in vegetables and minimally processed vegetable salads, but others have reported a promoting, neutral, or insignificant effect on the growth of Lm. A review of relevant literature also indicated that the impact of most influencing factors is related to or interacts with other intrinsic or extrinsic factors. This literature synthesis contributes to the body of knowledge on possible strategies for improving food safety measures to minimize the risk of Lm-associated foodborne outbreaks involving vegetables and vegetable salads.

Cadmium, lead, mercury and arsenic in fresh vegetables and vegetable products intended for human consumption in the Republic of Serbia, 2015-2017.

The concentrations of cadmium (Cd), lead (Pb), mercury (Hg) and arsenic (As) were determined in 455 samples of 27 species of vegetables and 28 different processed vegetables collected during the period from January 2015 to December 2017. Vegetables (n = 387) and vegetable products (n = 68) originated from 31 countries, including Serbia. The samples were analysed by inductively coupled plasma - optical emission spectrometry (ICP-OES). The concentrations of Cd, Pb, Hg and As in the vegetables and vegetable products were compared to the maximum levels set by the European Union and the Serbian legislation. The concentration of mercury was less than the limit of detection in each analysed sample. One or multiple measurable toxic metals (Cd, Pb and/or As) were found in 250 samples (54.9%; n = 455). According to the Regulations which were valid until the end of August 2021, the maximum levels of Cd, Pb and As were exceeded in 19 samples (4.2% of the samples of vegetable and vegetable products; n = 455), i.e. in 13 samples of vegetables: Cd in three, Pb in nine and As in one sample and in 6 samples of vegetables products: Cd in three, Pb in one and As in two samples. Regarding the new EU and Serbian legislation which is valid since September 2021 the maximum levels of Cd and Pb for vegetables and vegetable products were exceeded in 118 samples (25.9% of the samples of vegetable and vegetable products; n = 455), i.e. in 95 samples of vegetables: Cd in 67 and Pb in 28 samples and in 23 samples of vegetable products: Cd in 20 and Pb in 3 samples.

Evaluation of a Produce Prescription Program for Patients With Diabetes: A Longitudinal Analysis of Glycemic Control.

OBJECTIVE: Produce prescriptions have shown promise in improving diabetes care, although most studies have used small samples or lacked controls. Our objective was to evaluate the impacts of a produce prescription program on glycemic control for patients with diabetes. RESEARCH DESIGN AND METHODS: Participants included a nonrandom enrollment of 252 patients with diabetes who received a produce prescription and 534 similar control participants from two clinics in Hartford, Connecticut. The start of the COVID-19 pandemic in March 2020 coincided with program implementation. Produce prescription enrollees received vouchers ($60 per month) for 6 months to purchase produce at grocery retail. Controls received usual care. The primary outcome was change in glycated hemoglobin (HbA1c) between treatment and control at 6 months. Secondary outcomes included 6-month changes in systolic (SBP) and diastolic blood pressure (DBP), BMI, hospitalizations, and emergency department admissions. Longitudinal generalized estimating equation models, weighted with propensity score overlap weights, assessed changes in outcomes over time. RESULTS: At 6 months, there was no significant difference in change in HbA1c between treatment and control groups, with a difference of 0.13 percentage points (95% CI -0.05, 0.32). No significant difference was observed for change in SBP (3.85 mmHg; -0.12, 7.82), DBP (-0.82 mmHg; -2.42, 0.79), or BMI (-0.22 kg/m2; -1.83, 1.38). Incidence rate ratios for hospitalizations and emergency department visits were 0.54 (0.14, 1.95) and 0.53 (0.06, 4.72), respectively. CONCLUSIONS: A 6-month produce prescription program for patients with diabetes, implemented during the onset of the COVID-19 pandemic, was not associated with improved glycemic control.

Phototreatment (below 1100 nm) improving quality attributes of fresh-cut fruits and vegetables: A review.

The emerging area of phototreatment technology has shown a significant potential to enhance the quality of fresh-cut fruit and vegetable products (FFVP). This review critically evaluates relevant literatures to address the potential for phototreatment technology (Red, blue, green, ultraviolet and pulsed light) applied to FFVP, outline the key to the success of phototreatment processing, and discuss the corresponding problems for phototreatment processing along with research and development needs. Base on photothermal, photophysical and photochemical process, phototreatment displays a great potential to maintain quality attributes of FFVP. The operating parameters of light, the surface properties and matrix components of the targeted material and the equipment design affect the quality of the fresh-cut products. To adapt current phototreatment technology to industrial FFVP processing, it is necessary to offset some limitations, especially control of harmful substances (For example, nitrite and furan) produced by phototreatment, comparison between different phototreatment technologies, and establishment of mathematical models/databases.

Challenges and solutions of extracting value-added ingredients from fruit and vegetable by-products: a review.

Every year, huge amounts of fruit and vegetable by-products in the food processing factories are produced. These by-products have great potential to be used for different targets especially the extraction of value-added ingredients. The target of this study is to review the challenges of extraction of value-added ingredients from fruit and vegetable by-products on the industrial scale and to describe current trends in solving these problems. In addition, some strategies such as multi-component extraction as well as application of fermentation before or after the extraction process, and production of biofuel, organic fertilizers, animal feeds, etc. on final residues after extraction of value-added ingredients are discussed in this review paper. In fact, simultaneous extraction of different value-added ingredients from fruit and vegetable by-products can increase the extraction efficiency and reduce the cost of value-added ingredients as well as the final volume of these by-products. After extraction of value-added ingredients, the residues can be used to produce biofuels, or they can be used to produce organic fertilizers, animal feeds, etc. Therefore, the application of several appropriate strategies to treat the fruit and vegetable by-products can increase their application, protect the environment, and improve the food economy.

Validation of the Test Method-Determination of Available Carbohydrates in Cereal and Cereal Products, Dairy Products, Vegetables, Fruit, and Related Food Products and Animal Feeds: Collaborative Study, Final Action 2020.07.

BACKGROUND: A simple, accurate, and reliable method to measure available carbohydrate components of food products, including cereal and dairy products, fruits, vegetables, processed food, food ingredients, and animal foods, was developed by Megazyme (product K-AVCHO, Bray, Ireland). A single-laboratory validation of the enzymatic method resulted in First Action status as Official Method of AnalysisSM2020.07. OBJECTIVE: A collaborative study was conducted to evaluate the repeatability and reproducibility of Official Method 2020.07 for the measurement of available carbohydrates, including digestible starch, lactose, sucrose, isomaltose, maltose, glucose, fructose, and galactose in a broad range of food and feed products. METHOD: Samples are defatted if containing >10% fat content, and incubated with pancreatic α-amylase and amyloglucosidase under conditions that simulate those in the small intestine (pH 6, 37°C, 4 h). The reaction solution is clarified and diluted, and an aliquot is incubated with sucrase, maltase, oligo-1,6-α-glucosidase, and ß-galactosidase to hydrolyze sucrose, maltose, isomaltose, and lactose to glucose, fructose, and galactose, which are then measured enzymatically. The multi-laboratory validation (MLV) matrixes included cereal, animal feeds, fruit, vegetables, infant formula, powdered milk drink, a dessert product, and mushrooms. Additional materials were analyzed by collaborators as "practice samples." RESULTS: All MLV matrixes resulted in repeatability relative standard deviations (RSDr) <3.91% and reproducibility relative standard deviations (RSDR) ranging from 3.51 to 11.58% with 9 of the 10 matrixes having RSDR of <6.19%. For the practice samples, the RSDR ranged from 2.7 to 11.4% with 7 of the 8 samples having RSDR of <4.4%. CONCLUSIONS: Official Method 2020.07 meets the AOAC requirements for repeatability and reproducibility, and the data support Final Action status. HIGHLIGHTS: Official Method 2020.07 is a robust, simple to use, and reproducible method for the analysis of available carbohydrates in a wide range of matrixes.

Gastric digestion of cow milk, almond milk and oat milk in rats.

In this study, gastric digestion of isocaloric and iso-macronutrient cow milk, almond milk and oat milk were compared in rats euthanized at different post-feeding times. The cow milk separated into a curd phase and a liquid phase in the rat stomach. This coagulation of the cow milk led to higher (P < 0.05) protein and lipid retention in the stomach compared with almond milk and oat milk. Almond milk oil bodies aggregated, creamed and rapidly layered in the stomach. This induced a faster (P < 0.05) gastric emptying of proteins (T1/2 = 36 min) compared with cow milk (T1/2 = 89 min) and oat milk (T1/2 = 55 min), and a slower gastric emptying of almond lipids than of almond proteins. In contrast, no significant physical change during the digestion of oat milk was found, with both the proteins and the lipids being steadily emptied from the stomach. This in vivo study provides information on the gastric digestion and emptying (and thereby nutritional characteristics) of plant-based milks compared with animal-based milks, that will be useful for the design of novel plant-based drinks.