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In this study, chicory essential oil (CEO) was obtained by hydrodistillation‐based extraction method and it was rich in camphor (31.3%) and phenolic compounds with outstanding antioxidant and antimicrobial properties. The CEO was then incorporated into Lepidium perfoliatum seed mucilage (LPSM) based aqueous solution to prepare an active CEO‐loaded LPSM edible coating. The effect of the edible coating was then investigated on the quality and shelf life of beef slices during 7 days storage at 4°C. The results revealed that beef slice coated with CEO‐loaded LPSM edible coating had a significant inhibitory effect on its lipid oxidation and microbial growth. The CEO‐LPSM coating also inhibited the weight and texture losses of beef slices during display more efficiently compared with the control and CEO‐free LPSM coating. Besides, the beef slices coated with CEO‐LPSM were the preferred samples in terms of sensory scores throughout the storage. Thus, using CEO‐rich LPSM edible coating might inhibit decay and significantly improve the shelf life of fresh beef. The beef slices coated with CEO‐LPSM were the preferred samples in terms of sensory scores throughout the storage. Thus, using CEO‐rich LPSM edible coating might inhibit decay and significantly improve the shelf life of fresh beef.

Cichorium intybus L. (common chicory) is a medicinal plant valued for health-promoting effects. Although analgesic properties are known for chicory sesquiterpenes, the effects of extracts need yet to be explored. This study aimed to evaluate for the first time the analgesic effect (against nociceptive pain) of the root extract from C. intybus var. foliosum. The target evaluation was preceded by toxicity tests in vivo and phytochemical standardization of root extracts prepared with different extraction methods—pectinase-assisted, pressure-assisted, and a combination of both—to choose the most effective one. The phytochemical profiling involved UHPLC-PDA-ESI-MS/MS and UHPLC-PDA analyses. The toxicity and the analgesic effects were tested in mice following the OECD 423 guideline and the hot-plate test, respectively. The highest recovery of bioactive compounds was achieved for the pressure-assisted extract: 642.5 mg sesquiterpene lactones, 187.1 mg phenolic acids, and 47.3 g inulin/100 g of dry matter. The extract showed no toxic effects at the oral dose of 2000 mg/kg body weight, including no histopathologic changes, in mice within two weeks (GHS Category 5/Uncategorized). The maximum analgesic effect (MAE) of the extract at 600 mg/kg was 6.75% for rearing and 13.7% for jumping, with the impact on the nocifensive reactions not differing significantly from those of paracetamol at 60 mg/kg. Despite the relatively low effects at 600 mg/kg, the verified safety and abundance of active compounds encourage further studies on the extract and its active fractions as potential approaches to complementary pain therapy, with special concern for their mechanisms of action.

Background: Cichorium intybus L., a member of the Asteraceae family, has numerous health-promoting properties that categorize its preparations as functional foods and herbal medicines. Most previous research focused on the root of C. intybus var. sativum (industrial chicory) as a rich source of inulin, while the witloof variety (C. intybus var. foliosum) is less explored. Objectives: This study aimed to evaluate the cytotoxicity of C. intybus var. foliosum root extracts obtained with different extraction protocols and to analyze their polysaccharide and polyphenol content. Methods: Freeze-dried root extracts were prepared using water and three extraction methods: pectinase-assisted, pressure-assisted, and a combination of both. The contents of inulin, total polyphenols, and total caffeic acid derivatives in the extracts were measured by the Layne–Eynon, Folin–Ciocalteu, and UHPLC-PDA methods, respectively. Cytotoxicity of the extracts and inulin was tested in vitro using the L929 cell line, MTT method, and paracetamol as the reference standard. Results: Inulin levels in the extracts ranged from 43.88 to 50.95 g/100 g dry matter (dm), total polyphenols were between 816.7 and 906.4 mg/100 g dm, and total phenolic acids ranged from 11.50 to 187.1 mg/100 dm, with pressure-assisted extraction yielding the highest phytochemical recovery. The cytotoxicity tests showed IC50 values from 4.72 to 7.31 mg/mL for the extracts, compared to 3.02 for paracetamol and 19.77 for inulin. Conclusions: Given the high content of active compounds and low cytotoxicity, the root extracts of C. intybus var. foliosum merit further research into their functional and medicinal properties. Pressure-assisted extraction is recommended for effective extraction of chicory.

Weeds are a crucial threat to agriculture, and in order to preserve crop productivity, spreading agrochemicals is a common practice with a potential negative impact on the environment. Methods that can support intelligent application are needed. Therefore, identification and mapping is a critical step in performing site-specific weed management. Unmanned aerial vehicle (UAV) data streams are considered the best for weed detection due to the high resolution and flexibility of data acquisition and the spatial explicit dimensions of imagery. However, with the existence of unstructured crop conditions and the high biological variation of weeds, it remains a difficult challenge to generate accurate weed recognition and detection models. Two critical barriers to tackling this challenge are related to (1) a lack of case-specific, large, and comprehensive weed UAV image datasets for the crop of interest, (2) defining the most appropriate computer vision (CV) weed detection models to assess the operationality of detection approaches in real case conditions. Deep Learning (DL) algorithms, appropriately trained to deal with the real case complexity of UAV data in agriculture, can provide valid alternative solutions with respect to standard CV approaches for an accurate weed recognition model. In this framework, this paper first introduces a new weed and crop dataset named Chicory Plant (CP) and then tests state-of-the-art DL algorithms for object detection. A total of 12,113 bounding box annotations were generated to identify weed targets (Mercurialis annua) from more than 3000 RGB images of chicory plantations, collected using a UAV system at various stages of crop and weed growth. Deep weed object detection was conducted by testing the most recent You Only Look Once version 7 (YOLOv7) on both the CP and publicly available datasets (Lincoln beet (LB)), for which a previous version of YOLO was used to map weeds and crops. The YOLOv7 results obtained for the CP dataset were encouraging, outperforming the other YOLO variants by producing value metrics of 56.6%, 62.1%, and 61.3% for the mAP@0.5 scores, recall, and precision, respectively. Furthermore, the YOLOv7 model applied to the LB dataset surpassed the existing published results by increasing the mAP@0.5 scores from 51% to 61%, 67.5% to 74.1%, and 34.6% to 48% for the total mAP, mAP for weeds, and mAP for sugar beets, respectively. This study illustrates the potential of the YOLOv7 model for weed detection but remarks on the fundamental needs of large-scale, annotated weed datasets to develop and evaluate models in real-case field circumstances.

Following an application from BENEO‐Orafti S.A., submitted pursuant to Article 13.5 of Regulation (EC) No 1924/2006 via the Competent Authority of Belgium, the Panel on Dietetic Products, Nutrition and Allergies (NDA) was asked to deliver an opinion on the scientific substantiation of a health claim related to “native chicory inulin” and maintenance of normal defecation by increasing stool frequency. The food constituent that is a subject of a claim is “native chicory inulin”. The Panel considers that “native chicory inulin”, a non‐fractionated mixture of monosaccharides (< 10%), disaccharides, inulin‐type fructans and inulin extracted from chicory, with a mean DP ≥ 9, is sufficiently characterised in relation to the claimed effect. The Panel considers that maintenance of normal defecation by increasing stool frequency (provided that it does not result in diarrhoea) is a beneficial physiological effect. Six studies involving 86 subjects consistently showed that consumption of “native chicory inulin” at an amount of at least 12 g/day increases stool frequency. The Panel also notes the plausible mechanisms by which inulin and inulin‐type fructans in “native chicory inulin” could exert the claimed effect. The Panel concludes that a cause and effect relationship has been established between the consumption of “native chicory inulin” and maintenance of normal defecation by increasing stool frequency. The following wording reflects the scientific evidence: “Chicory inulin contributes to maintenance of normal defecation by increasing stool frequency”. In order to obtain the claimed effect, 12 g of “native chicory inulin” should be consumed daily.

Industrial chicory ( Cichorium intybus var. sativum ) is a biannual crop mostly cultivated for extraction of inulin, a fructose polymer used as a dietary fiber. F1 hybrid breeding is a promising breeding strategy in chicory but relies on stable male sterile lines to prevent self-pollination. Here, we report the assembly and annotation of a new industrial chicory reference genome. Additionally, we performed RNA-Seq on subsequent stages of flower bud development of a fertile line and two cytoplasmic male sterile (CMS) clones. Comparison of fertile and CMS flower bud transcriptomes combined with morphological microscopic analysis of anthers, provided a molecular understanding of anther development and identified key genes in a range of underlying processes, including tapetum development, sink establishment, pollen wall development and anther dehiscence. We also described the role of phytohormones in the regulation of these processes under normal fertile flower bud development. In parallel, we evaluated which processes are disturbed in CMS clones and could contribute to the male sterile phenotype. Taken together, this study provides a state-of-the-art industrial chicory reference genome, an annotated and curated candidate gene set related to anther development and male sterility as well as a detailed molecular timetable of flower bud development in fertile and CMS lines.

Introduction: Free radicals are formed mainly as a result of environmental pollution, ultraviolet (UV) radiation, and stress. These factors contribute to the formation of oxidative stress, which is involved in the aging process of the skin, among other things. Antioxidants are compounds found naturally in plant products that have beneficial effects on human health. Natural antioxidants found in fruits, vegetables, and other plants have a positive antiaging effect. Therefore, in recent years there has been an increased interest in plant raw materials to obtain antioxidants useful not only in cosmetology. One of these plants that is commonly grown in our country is chicory (Cichorium intybus L.). The aim of the study was to evaluate the antioxidant properties of alcoholic extracts obtained from 3 parts of C. intybus L. The influence of extraction time and solvent selection on the antioxidant activity of various parts of chicory was also investigated.Materials and methods: The research material consisted of dried herb, stem, and root of Cichorium intybus L. Low molecular weight alcohols, i.e. methanol, ethanol, isopropanol, and n-propanol at concentrations of 40%(v/v), 70%(v/v) and undiluted were used to obtain extracts using ultrasonic-assisted extraction. The antioxidant properties of the extracts were evaluated by 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azinobis[3-ethyl-2,3-dihydrobenzothiazole-6-sulfonate] diammonium salt (ABTS) methods.Results: Extracts from all parts of chicory showed antioxidant potential, but it varied depending on the part of chicory to be ,used. The highest activity was observed for herb extracts and the lowest for root extracts. Methanol seemed to be the best solvent for extraction to obtain the extracts characterized by high antioxidant capacity.Conclusions: Based on the obtained results, it can be concluded that due to their antioxidant activity, C. intybus L. extracts, especially those obtained from the herb, can be suggested as components of natural cosmetics.

Background Plant root research can provide a way to attain stress-tolerant crops that produce greater yield in a diverse array of conditions. Phenotyping roots in soil is often challenging due to the roots being difficult to access and the use of time consuming manual methods. Rhizotrons allow visual inspection of root growth through transparent surfaces. Agronomists currently manually label photographs of roots obtained from rhizotrons using a line-intersect method to obtain root length density and rooting depth measurements which are essential for their experiments. We investigate the effectiveness of an automated image segmentation method based on the U-Net Convolutional Neural Network (CNN) architecture to enable such measurements. We design a data-set of 50 annotated chicory ( Cichorium intybus L.) root images which we use to train, validate and test the system and compare against a baseline built using the Frangi vesselness filter. We obtain metrics using manual annotations and line-intersect counts. Results Our results on the held out data show our proposed automated segmentation system to be a viable solution for detecting and quantifying roots. We evaluate our system using 867 images for which we have obtained line-intersect counts, attaining a Spearman rank correlation of 0.9748 and an r 2 of 0.9217. We also achieve an F 1 of 0.7 when comparing the automated segmentation to the manual annotations, with our automated segmentation system producing segmentations with higher quality than the manual annotations for large portions of the image. Conclusion We have demonstrated the feasibility of a U-Net based CNN system for segmenting images of roots in soil and for replacing the manual line-intersect method. The success of our approach is also a demonstration of the feasibility of deep learning in practice for small research groups needing to create their own custom labelled dataset from scratch.

Chicory (Cichorium intybus) accumulates caffeic acid esters with important significance for human health. In this study, we aim at a better understanding of the biochemical pathway of these bioactive compounds. Detailed metabolic analysis reveals that C. intybus predominantly accumulates caftaric and chicoric acids in leaves, whereas isochlorogenic acid (3,5-diCQA) was almost exclusively accumulated in roots. Chlorogenic acid (3-CQA) was equally distributed in all organs. Interestingly, distribution of the four compounds was related to leaf age. Induction with methyljasmonate (MeJA) of root cell suspension cultures results in an increase of 3-CQA and 3,5-diCQA contents. Expressed sequence tag libraries were screened using members of the BAHD family identified in Arabidopsis and tobacco as baits. The full-length cDNAs of five genes were isolated. Predicted amino acid sequence analyses revealed typical features of BAHD family members. Biochemical characterization of the recombinant proteins expressed in Escherichia coli showed that two genes encode HCTs (hydroxycinnamoyl-CoA:shikimate/quinate hydroxycinnamoyltransferases, HCT1 and HCT2) whereas, three genes encode HQTs (hydroxycinnamoyl-CoA:quinate hydroxycinnamoyltransferases, HQT1, HQT2, and HQT3). These results totally agreed with the phylogenetic analysis done with the predicted amino acid sequences. Quantitative real-time polymerase chain reaction analysis of gene expression indicated that HQT3, HCT1, and HCT2 might be more directly associated with CQA accumulation in cell culture in response to MeJA elicitation. Transient expression of HCT1 and HQT1 in tobacco resulted in a higher production of 3-CQA. All together these data confirm the involvement of functionally redundant genes in 3-CQA and related compound synthesis in the Asteraceae family.

Prebiotic dietary fiber supplements are commonly consumed to help meet fiber recommendations and improve gastrointestinal health by stimulating beneficial bacteria and the production of short-chain fatty acids (SCFAs), molecules beneficial to host health. The objective of this research project was to compare potential prebiotic effects and fermentability of five commonly consumed fibers using an in vitro fermentation system measuring changes in fecal microbiota, total gas production and formation of common SCFAs. Fecal donations were collected from three healthy volunteers. Materials analyzed included: pure beta-glucan, Oatwell (commercially available oat-bran containing 22% oat β-glucan), xylooligosaccharides (XOS), WholeFiber (dried chicory root containing inulin, pectin, and hemi/celluloses), and pure inulin. Oatwell had the highest production of propionate at 12 h (4.76 μmol/mL) compared to inulin, WholeFiber and XOS samples (p < 0.03). Oatwell’s effect was similar to those of the pure beta-glucan samples, both samples promoted the highest mean propionate production at 24 h. XOS resulted in a significant increase in the genus Bifidobacterium after 24 h of fermentation (0 h:0.67 OTUs (operational taxonomic unit); 24 h:5.22 OTUs; p = 0.038). Inulin and WholeFiber increased the beneficial genus Collinsella, consistent with findings in clinical studies. All analyzed compounds were fermentable and promoted the formation of beneficial SCFAs.