Microventilation system improves the ageing conditions in existent wine cellars

Barbaresi, Alberto; Santolini, Enrica; Agrusti, Miki; Bovo, Marco; Accorsi, Mattia; Torreggiani, Daniele; Tassinari, Patrizia

doi:10.1111/ajgw.12452

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…At the enology stage, the online monitoring systems could immediately analyse temperature (Zenteno et al ., 2010), CO 2 (Cañete‐Carmona et al ., 2020), reducing sugar and ethanol (Vasilescu et al ., 2019), and malic acid and lactic acid (Cavaglia et al ., 2020) to control the process and prevent slow or stopped fermentations (Urtubia et al ., 2021). At the storage stage, the micro environment management systems were able to assess the risk of wine spoilage by recording temperature (Zhang et al ., 2015), pH (Morais et al ., 2018), and SO 2 (Di‐Gennaro et al ., 2013) in the barrel, and control the temperature and humidity to keep constant in the wine cellar (Barbaresi et al ., 2020). At the marketing stage, most projects expect to achieve wine quality trace (Mitchell et al ., 2012), price comparison (Taghikhah et al ., 2020), and safety (Giacomarra et al ., 2016).…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of popular quality analysis system for dry red wines originating from Northwest China

Bai,

Dai,

Liu

et al. 2024

Int J of Food Sci Tech

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SummaryChinese wine, especially those from the Northwest region, has received worldwide attention and consumer recognition. However, mislabelling the year and origin of wine is a major fraud challenging the wine industry, such as the deception on year or origin. Inspired by the Appellation d'Origine Contrôlée (A.O.C) system, a feasible wine popular quality analysis system (WPQAS) has been established to supervise the selling. First, an investigation for all potential users was carried out to analyse their requirements for WPQAS. Then, the system framework was designed with the Browser/Server (B/S) 3‐tier architecture, including the data layer for saving data, the business logic layer for running the models, and the presentation layer for interacting with users. Meanwhile, a unified modelling language (UML) sequence diagram was used to monitor the dynamic behaviour of the WPQAS. The core for driving system operation was generated based on a series of machine learning algorithms, including K‐nearest neighbour (KNN) for detecting outlines, random forest (RF) for weighting the chemical indexes, and artificial neural network (ANN) for training the models. Finally, the WPQAS, implemented as a software, was applied to estimate the popular quality of 600 dry red wines from Northwest China. The mode of decoupling models from the system could ensure WPQAS simplicity and scalability, and make the models reusable. Thus, the present work proposes a lightweight system that can be easily popularised and applied in diverse scenarios, and would play a significant positive impact on the correct meeting the challenges associated with counterfeit wine.

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Section: Introductionmentioning

confidence: 99%

Design and implementation of popular quality analysis system for dry red wines originating from Northwest China

Bai,

Dai,

Liu

et al. 2024

Int J of Food Sci Tech

View full text Add to dashboard Cite

show abstract

“…These systems provide control of the designed conditions, record of the variable trends, identification and prevention of undesired conditions that could endanger or bias the trial. Moreover, monitored data could be helpful to define additional findings in research [39]. In particular, in studies aimed to assess the effect of one variable only, the homogeneity of other variables across all the treatments is a fundamental requirement.…”

Section: Introductionmentioning

confidence: 99%

Effects of LED supplemental lighting on the growth and metabolomic profile of Taxus baccata cultivated in a smart greenhouse

et al. 2022

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Light emitting diode (LED) lamps are increasingly being studied in cultivation of horticultural, ornamental and medicinal plants as means to increase yield, quality, stress resistance, and bioactive compounds content. Enhancing the production of metabolites for medicinal or pharmaceutical use by regulating LED intensity and spectra is a challenging subject, where promising results have been achieved. Nevertheless, some species have been poorly investigated, despite their interest as a source of medicinally active substances, with particular reference to LED effects at the plant cultivation level. This study evaluates the effects of supplementary top-light LED treatments on Taxus baccata, one of the main sources of taxane precursors. Blue, red and mixed red–and-blue spectra were tested at 100 μM m-2 s-1. Moreover, 50 and 150 μM m-2 s-1 intensities were tested for the mixed spectrum. All treatments were set for 14 hours a day and were tested against natural light as control treatment, in a controlled environment, from 19 August to 9 December 2019, this latter date representing 112 days after treatment (DAT) began. A smart monitoring and control system powered by environmental and proximal sensors was implemented to assure homogeneity of temperature, humidity, and base natural light for all the treatments. It resulted in negligible deviations from expected values and reliable exclusion of confusing factors. Biometric measurements and 1H-NMR based metabolomic analysis were performed to investigate growth and phytochemical profile throughout the trial. One-way ANOVA showed that supplemental LED lighting increased plant height and number of sprouts. Considering the mixed red–and-blue spectrum, plant height increased almost proportionally from control to 100 μM m-2 s-1 (+20% at 112 DAT), with no further increase at higher intensity. The number of sprouts was strongly enhanced by LED treatments only in the early phase (48.9 vs. 7.5 sprouts in the averaged 50, 100 and 150 μM m-2 s-1 vs. the control at 28 DAT), with no differences related to intensity in the very early stage, and more persisting effects (up to 56 DAT) for higher intensities. After the very early growth stages (28 DAT), plant vigor showed a modest although significant increase over time compared to the control, with no differences related to light intensity (0.81 vs. 0.74 of NDVI in the averaged 50, 100 and 150 μM m-2 s-1 vs. the control, across 56, 84 and 112 DAT). The different spectra tested at 100 μM m-2 s-1 showed no significant differences in growth parameters, except for a slight beneficial influence of blue (alone or with red) compared to only red for sprouting. According to the metabolomic analysis, treated plants at 28 DAT were characterized by the highest content of sucrose and aromatic compounds. Signals of a putative taxane were detected in the 1H NMR profiles of plants, which were compared to the spectrum of baccatin III standard. However, the intensity of these spectral signals was not affected by the treatment, while they increased only slightly during time. Light at 150 μM m-2 s-1 induced the strongest variation in the metabolome. Conversely, light composition did not induce significant differences in the metabolome.

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Microventilation system improves the ageing conditions in existent wine cellars

Cited by 2 publications

References 23 publications

Design and implementation of popular quality analysis system for dry red wines originating from Northwest China

Design and implementation of popular quality analysis system for dry red wines originating from Northwest China

Effects of LED supplemental lighting on the growth and metabolomic profile of Taxus baccata cultivated in a smart greenhouse

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