JSFA reports最新文献

{"title":"Regenerative agriculture: The science, economics and practice","authors":"Lucy Wright","doi":"10.1002/jsf2.191","DOIUrl":"https://doi.org/10.1002/jsf2.191","url":null,"abstract":"","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 4","pages":"188-190"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential QTL underlie wheat grain physical quality when measured using image-based versus traditional laboratory methods","authors":"Livinus Emebiri,&nbsp;Shane Hildebrand","doi":"10.1002/jsf2.192","DOIUrl":"10.1002/jsf2.192","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The marketing value of wheat (<i>Triticum aestivum</i> L.) is determined, in parts, by the grain's physical characteristics, owing to which they directly (or indirectly) influence milling performance and baking quality. These characteristics have been manually measured in the past, but now, digital image analysis (DIA) is being increasingly used to replace the slow phenotyping system. Here, we asked whether this could lead to the identification of the same or different genes when compared to the traditional phenotyping methods.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We measured grain physical quality on 142 wheat doubled haploids grown in the field over 2 years, and in using the quantitative trait locus (QTL) mapping approach we found that (1) for wheat grain weight, the use of DIA provided genetic information that mostly conformed to those obtained using the traditional phenotyping methods, with heritability estimates that were identical across both methods. Majority of the QTL detected were consistent between the traditional versus digital phenotyping methods; (2) a more complex architecture, however, arose from QTL analyses of hectoliter mass (HLM) and percentage of shriveled grains (SCR). The estimates for heritability varied by as much as 0.24 across methods and, more significantly, many of the detected QTL for both traits were method-specific; (3) though method-specific, identified QTL was mapped to genomic regions known to harbor genes for grain physical traits.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Thousand-grain weight (TGW) is robust to a phenotyping method, but a different genetic system underlies HLM and SCR, when these were measured using traditional versus digital image analysis. For these traits, heritability estimates were larger when phenotyped using traditional methods relative to digital image analysis, suggesting that further refinements are required to better correlate digital image analysis with the traditional phenotyping methods.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 5","pages":"224-234"},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.192","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Total phenolic and flavonoid content of P. armata honey and propolis produced in Bomet, Kisii and Maralal, Kenya","authors":"Timothy Mugodo Kegode,&nbsp;Hosea O. Mokaya,&nbsp;Nkoba Kiatoko","doi":"10.1002/jsf2.190","DOIUrl":"https://doi.org/10.1002/jsf2.190","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Bee products are gaining interest in the field of research due to their biochemical and nutritive properties. Honey bee products have been researched extensively but little has been done in regards to stingless bees. There are many species of stingless bees including <i>Plebeina armata</i>, which are found in the Afrotropics. They are underground nesting and produce honey, propolis, wax, pollen and bee bread. These products are known to be rich in polyphenols that comprise of flavonoids and phenolic. In our study, we analysed colorimetrically the total flavonoid, phenolic content and radical scavenging activity of honey (<i>n</i> = 22) and propolis (<i>n</i> = 25) from Bomet, Kisii and Maralal in Kenya.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Honey and propolis had total flavonoid content of 12.00–22.67 mg QE/100 g and 288.15–944.76 mg QE/100 g while total phenolic content was 87.01–239.93 mg GAE/100 g and 524.14–1225.01 mg GAE/100 g, respectively. In considerations to the regions, Maralal had the highest phenolic and flavanoid content followed by Bomet and Kisii was the least. The same trend was observed in the radical scavenging activity. Except for the total flavonoid content in honey, the difference was significant (<i>p</i> &lt; 0.05).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The polyphenol content of both honey and propolis of <i>P. armata</i> are equally affected by geographical location as a result of different vegetation. They are good source of antioxidants, which can be utilized in diet due to their radical scavenging properties.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 4","pages":"191-196"},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.190","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of quinoa protein concentration and oil volume fraction on the physicochemical and mechanical properties of alginate-based emulsion gels","authors":"Nadia Lingiardi,&nbsp;Micaela Galante,&nbsp;Darío Spelzini","doi":"10.1002/jsf2.189","DOIUrl":"https://doi.org/10.1002/jsf2.189","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>This work studies emulsion gel (EG) formulation with quinoa proteins (QP), high-oleic sunflower oil and alginate, and the effect of QP concentration (0.5–1–2%) and the oil volume fraction (10–30–50%) on the physicochemical and mechanical properties of EG systems. EGs were tested for their microstructural and textural attributes, color, and water holding capacity as well as for their thermal, physical, and oxidative stability.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The microstructure of EG showed that with increasing QP concentrations, the gel structure tended to be much denser, with oil droplets entrapped within the network. A significant decrease in droplet diameter with increasing QP concentration (<i>p</i> = 0.015) and oil volume fraction (<i>p</i> &lt; 0.000) was observed. Hardness mean value was 2.8 N ± 0.5, reaching the highest value with 1 and 2% QP and 30% oil (<i>p</i> &lt; 0.000). Cohesiveness shows a similar trend to that observed for hardness, while springiness showed the opposite behavior. As for adhesiveness, there were no significant differences between samples. EG have high lightness with slight yellow and green contributions. The mean water holding capacity was 88 ± 4%, and after heat treatment all samples exhibited a good fluid retention, significantly lower for the lower oil volume fraction (<i>p</i> = 0.001). EG, also proved to be highly stable against creaming and oxidative damage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Results suggest that EG could be useful to create a new generation of healthier and innovative products that could substitute animal fat and deliver nutrients and biological compounds, thus improving food quality.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 4","pages":"208-219"},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140651140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of pH and biopolymer ratio on phase behavior, rheology, and structural characteristics of pea protein isolate-locust bean gum coacervates","authors":"Mekala Pavani,&nbsp;Poonam Singha,&nbsp;Sushil Kumar Singh","doi":"10.1002/jsf2.187","DOIUrl":"10.1002/jsf2.187","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Interaction between plant-based proteins and polysaccharides depends on several factors.   This work reports the influence of pH and biopolymer ratios on the protein (pea protein isolate, PPI)-polysaccharide (locust bean gum, LBG) coacervates. Electrostatic interaction and hydrogen bond between the biopolymers strongly influenced the formation of the coacervates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The optimum coacervate conditions were observed at pH 4.5 and PPI:LBG ratio of 5:1. The coacervates showed a honeycomb porous architecture having an amorphous nature. Complex coacervates showed a significant elevation of denaturation temperature as compared to biopolymers alone.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>These results indicates that PPI-LBG coacervates can be used as an effective biomaterial for encapsulating heat-sensitive bioactive compounds and other multiple uses in food processing.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 4","pages":"197-207"},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140384856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fully automatic quantitation of eight different metabolites in coffee using 1H-NMR spectroscopy and the PULCON methodology","authors":"Vera Gottstein,&nbsp;Dirk W. Lachenmeier,&nbsp;Thomas Kuballa,&nbsp;Mirko Bunzel","doi":"10.1002/jsf2.184","DOIUrl":"10.1002/jsf2.184","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Coffee contains a plethora of constituents with some of them being especially important either due to their physiological effects or as quality markers. As quantitative proton nuclear magnetic resonance spectroscopy (¹H-NMR) has been established as a fast and reliable analytical tool its application was evaluated for the simultaneous quantitation of lactic acid, acetic acid, formic acid, caffeine, caffeoylquinic acid (CQA) isomers, <i>N</i>-methylpyridinium, trigonelline, and 5-hydroxymethylfurfural (HMF) in aqueous extracts of roasted <i>Coffea arabica</i> samples.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Simultaneous quantitative determination was achieved by an automated analysis based on the PULCON methodology (pulse length-based concentration determination). The method was validated regarding linearity, accuracy, precision, limit of detection (LOD), and limit of quantitation (LOQ). Recovery rates were between 76% (CQA) and 116% (HMF), and precision was between 1.7% (caffeine) and 10.3% (HMF). The LOD varied between 0.06 g/kg (HMF) and 1.35 g/kg (caffeine and CQA), with the LOQ being between 0.22 g/kg (HMF) and 4.87 g/kg (CQA). To verify the results of the ¹H-NMR method, caffeine, trigonelline, HMF, 3-CQA, 4-CQA, and 5-CQA were additionally quantitated by HPLC-DAD and the results were compared. The described ¹H-NMR method was additionally applied to coffee samples that contained different coffee defects. Results showed only slight changes in the concentrations of the analytes by adding defective beans to defect-free coffee.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>The developed 1H-NMR approach was proven to be fast (30 min), reliable, and precise. Thus, it is well suited to analyze several coffee constituents of interest in a large number of samples in, for example, quality control.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 3","pages":"163-174"},"PeriodicalIF":0.0,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140255188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The molecular and metabolic events behind different germination stages of rice seeds: A metabolomics perspective","authors":"Anindita Hazra,&nbsp;Susmita Das","doi":"10.1002/jsf2.185","DOIUrl":"https://doi.org/10.1002/jsf2.185","url":null,"abstract":"<p>Seed germination is a crucial stage for the completion of plants' life cycle. The process of seed germination is a very important phenomenon for agricultural food and crop production and to understand the underlying food chemistry. Rice (<i>Oryza sativa</i> L.) being easy to grow and cheap source of phytonutrients is a fundamental food crop across the world. Several researches are going on for years to improve the production of rice, ameliorate the deadly bacterial or fungal diseases utilizing genetics, transcriptomics, and proteomics aspects. Metabolomics is a very new arena of research in this field. With the help of modern-day metabolomic tools and technologies, researchers are incessantly trying to unveil the metabolic construction of rice seeds, and new to this topic is seed germination. The principal aim of this review on metabolomics of germinating rice seeds is to have a big picture on the key molecular, cellular, and metabolic events of germination. This review tries to summarize all the available data to fulfill the aforesaid aim.</p>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 3","pages":"118-134"},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.185","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140321762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determination, distribution, and health risk assessment of 12 heavy metals in various edible oils in Taiwan","authors":"Shu-Ting Lin,&nbsp;Kai-Wei Liao,&nbsp;Tan-Chui Xuan,&nbsp;Tai-Ying Chiou,&nbsp;Zih-Ee Lin,&nbsp;Wei-Ju Lee","doi":"10.1002/jsf2.186","DOIUrl":"https://doi.org/10.1002/jsf2.186","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Minimizing the risk of heavy metal pollution is of utmost importance to ensure consumer safety. In this research, we utilized inductively coupled plasma-mass spectrometry to determine the presence of 12 heavy metals in Taiwanese commercial edible oils, both refined and unrefined.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our analytical findings revealed significantly lower levels of heavy metals in refined oils compared with unrefined oils. Through principal component analysis and cluster analysis of 19 types of edible oils, we identified Cd, Ba, Fe, Pb, and Co as the primary variables influencing heavy metal levels in edible oils. Notably, the heavy metal contents in the edible oils did not surpass international standards. Risk assessment results indicated that unrefined oils carried higher risk levels than refined oils. The incremental lifetime cancer risk values calculated for unrefined oils exceeded 10⁻⁶ in all age groups except for the 19 ~ 65 years category, while the noncarcinogenic risks remained well below 1, regardless of refined or unrefined oils.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our study sheds light on the distribution characteristics of heavy metal contents in edible oils, highlighting higher levels of heavy metals and associated risks in non-refined oils compared with refined oils. Ultimately, the presence of heavy metals in edible oils poses low health risks to the human body.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 3","pages":"175-183"},"PeriodicalIF":0.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.186","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140321763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a quantification method for the analysis of sugars in apple fruit juice using attenuated total reflection-Fourier transform infrared spectroscopy coupled with multivariate regression modeling","authors":"Amit Singh Dhaulaniya,&nbsp;Biji Balan,&nbsp;Dileep K. Singh","doi":"10.1002/jsf2.181","DOIUrl":"https://doi.org/10.1002/jsf2.181","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Sugars are a major component of apple juices. Sugar content plays an important role in quality analysis of the apple juice. In this study, an attempt is made to develop a simple and reliable method for the direct estimation of sugar content in apple juice using attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) coupled with chemometric technique. The spectral information obtained from the FTIR is utilized to develop predictive models based on partial least square regression (PLS-R) and principal component regression (PCR) for sugar analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Based on the analysis of FTIR spectra, a fingerprint region (between 1200 and 900 cm⁻¹) for carbohydrates in apple juice was identified. This region was utilized to develop PLS-R and PCR models. Ultimately, PLS-R models were selected for prediction because of their superiority in terms of root mean square error of calibration (RMSEC), root mean standard error for cross-validation (RMSECV), and <i>R</i>² over PCR models. For fructose and glucose content, the prediction model generated with raw spectra obtained the best optimized statistical parameters (<i>R</i>² fructose; 0.9952, <i>R</i>² glucose; 0.9961). However, for total sugar and sucrose (<i>R</i>² total sugar; 0.9968, <i>R</i>² sucrose; 0.9983) content, first-derivative FTIR models were found best suitable for the prediction of test set.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study offers a reliable, rapid, and nondestructive method with least sample preparation for the direct estimation of sugars in apple juices. It allows the determination of several sugars in a single measurement, which is worth emphasizing. The fundamental methodology of the proposed model can also be advantageous for simultaneous determination of major sugars in complex matrices other than fruit juices.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 2","pages":"72-77"},"PeriodicalIF":0.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen fertilization rates in a subtropical peach orchard: Effect on fruit nutritional value and flavor","authors":"Zilfina Rubio Ames,&nbsp;Jeffrey K. Brecht,&nbsp;Mercy A. Olmstead,&nbsp;Denise Tieman,&nbsp;Charles A. Sims","doi":"10.1002/jsf2.183","DOIUrl":"10.1002/jsf2.183","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>The necessity to help farmers improve yields has resulted in many years of agricultural research focused on productivity and disease resistance, neglecting other areas of fruit quality such as flavor, health benefits, and external appearance. Nitrogen is required for several biochemical processes. However, reducing N fertilization can increase the synthesis of antioxidants and volatile aroma compounds. Four-N rates (0 (N0), 45 (N1), 90 (N2), 179 (N3), and 269 (N4) kg ha⁻¹) were tested each year from 2011 to 2017 in two peach varieties melting flesh (MF) ‘TropicBeauty’ (TB), a soft texture peach, and non-melting flesh (NMF) ‘UFSharp’ (UFS), a crispy texture peach, to determine the effect of N on nutritional value and flavor.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The phytochemical composition of the NMF ‘UFSharp’ (UFS) and MF variety ‘TropicBeauty’ (TB) were not cleared affected by N rates. Volatile synthesis was little affected by N. The sensory evaluation showed that consumers preferred MF peaches compared with NMF, because of its juiciness.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Nitrogen fertilization had minor effects on peach fruit phytochemical composition, volatile aroma compounds, and consumer acceptability. The N effect could had been influence by pruning practices, training of the orchard, and the delay of fruit developmental period.</p>\u0000 </section>\u0000 </div>","PeriodicalId":93795,"journal":{"name":"JSFA reports","volume":"4 3","pages":"148-162"},"PeriodicalIF":0.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsf2.183","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139793760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}