Neapolitan pizza, a renowned Italian food recognized as one of the traditional specialties guaranteed (TSG) by European Commission Regulation no. 97/2010, should be exclusively baked in wood‐fired ovens for approximately 90 s. Despite its extensive use in restaurants and rotisserie shops all around the world, such equipment has been very poorly studied thus far. The aims of this study were to characterize the operation of a pilot‐scale wood‐fired pizza oven from its start‐up phase to its baking operation and assess its thermal efficiency. To manage brick firing, the oven was lighted at a firewood feed rate (Qfw) of 3 kg/h for just 1 h on the first day, 2 h on the second day, 4 h on the third day, and approximately 8 h on the fourth day. Independent of its lighting frequency, after 4‐6 h, the oven vault or floor temperature approached an equilibrium value of 546 ± 53°C or 453 ± 32°C, respectively. The initial oven floor temperature gradient was linearly related to Qfw, while the maximum floor temperature tended to an asymptotic value of 629 ± 43°C at Qfw = 9 kg/h. The well‐known water boiling test was adapted to assess the heat absorbed by a prefixed amount of water when the pizza oven was operating in pseudosteady‐state conditions at Qfw = 3 kg/h. The thermal efficiency of this oven was 13 ± 4%, and this value was further confirmed by other baking tests with four different white and tomato pizza products. Practical Application Although wood‐fired pizza ovens are largely used all over the world, little is known about their transitory and pseudosteady‐state regime performance. This study shows how to perform the start‐up procedure of pilot‐scale equipment and, independent of the operator's ability, how to achieve pseudosteady‐state conditions using different firewood feed rates. Finally, its thermal efficiency was assessed by water heating and pizza baking tests, which allowed a rough estimation of firewood consumption.

Neapolitan pizza is very popular worldwide and is registered on the traditional specialties guaranteed (TSG) list. This study was aimed at identifying the cradle-to-grave carbon footprint (CF) of a medium-sized pizza restaurant serving in situ or takeaway true Neapolitan pizzas conforming to the Publicly Available Specification (PAS) 2050 standard method. An average CF of ~4.69 kg CO2e/diner was estimated, about 74% of which was due to the production of the ingredients used (with buffalo mozzarella cheese alone representing as much as 52% of CF). The contribution of beverages, packaging materials, transportation, and energy sources varied within 6.8 and 4.6% of CF. The percentage relative variation of CF with respect to its basic score was of about +26%, +4.4%, and +1.6% or +2.1%, provided that the emission factor of buffalo mozzarella, fresh cow mozzarella (fiordilatte), Grana Padano cheeses, and electricity varied by +50% with respect to each corresponding default value, respectively. The specific carbon footprint for Marinara pizza was equal to ~4 kg CO2e/kg, while for Margherita pizza, it was up to 5.1, or 10.8 kg CO2e/kg when topped with fresh cow or buffalo mozzarella cheese. To help pizza restaurant operators select the most rewarding mitigation strategy, we explored how CF was affected by more sustainable buffalo mozzarella cheese production, lighter and reusable containers for beer, mineral water, and main fresh vegetables, newer diesel-powered vans, less air-polluting electric ovens instead of traditional wood-fired ovens, as well as renewable electricity sources.

Functional and enriched foods are increasingly in demand in the global market due to their benefits for human health and their prevention of several diseases. The aim of this work was to develop a functional pizza base, produced in the Neapolitan style, exploiting the beneficial properties of jujube. The jujube fruit is rich in phenolic compounds with high antioxidant activity and represents a good candidate for functional food development. The doughs were prepared by replacing the wheat flour with 2.5%, 5.0%, and 7.5% (w/w) of Ziziphus jujube powder (ZJP) and were subsequently cooked. Chemical analyses showed that both total phenolic compounds and antioxidant activity grew with the increase of ZJP. The addition of ZJP darkened the pizza base and raised its hardness, gumminess, and chewiness. However, no difference was found in the springiness and cohesiveness of the samples with or without ZJP. These results suggest that jujube powder can be successfully introduced into pizza dough as a functional ingredient.

Despite Neapolitan pizza is a globally renowned Italian food, its obligatory baking in wood-fired ovens has so far received little attention in the scientific community. Since heat transfer during pizza baking is not at all uniform, the main aim of this work was to analyze the phenomenology of Neapolitan pizza baking in a pilot-scale wood-fired pizza oven operating in quasi steady-state conditions. The different upper area sections of pizza covered or not by the main topping ingredients (i.e., tomato puree, sunflower oil, or mozzarella cheese), as well the bottom of the pizza and the growth of its raised rim, were characterized by visual colorimetric analysis, while the time course of their corresponding temperatures was monitored using an infrared thermal scanning camera. The maximum temperature of the pizza bottom was equal to 100 ± 9 °C, while that of the upper pizza side ranged from 182 °C to 84 or 67 °C in the case of white pizza, tomato pizza, or margherita pizza, respectively, mainly because of their diverse moisture content and emissivity. The pizza weight loss was nonlinearly related to the average temperature of the upper pizza side. The formation of brown or black colored areas on the upper and lower sides of baked pizza was detected with the help of an electronic eye. The upper side exhibited greater degrees of browning and blackening than the lower one, their maximum values being about 26 and 8%, respectively, for white pizza. These results might help develop a specific modelling and monitoring strategy to reduce variability and maximize the quality attributes of Neapolitan pizza.