Pub Date : 2024-11-18DOI: 10.1016/j.jfca.2024.106989
Ankang Kan , Ning Wang , Lijing Lin , Xingguang Sun , Longfei Zhang
In this study, post-harvested strawberry shoots were stored for 15 d under various hypobaric conditions (10, 30, and 101 kPa), along with a control group, to investigate the effects of hypobaric storage on strawberry freshness. The vitamin C content, water loss, titratable acid content, and respiration rate of the fruit were also monitored. The results showed that the strawberries subjected to the 30 kPa treatment exhibited the lowest water loss, measured at only 1.73 %. By contrast, the control group exhibited the highest water loss, reaching 21.4 %. Furthermore, the 30 kPa hypobaric treatment resulted in a 40.4 % lower respiratory rate and higher titratable acid and vitamin C contents than those of the control fruits. Hypobaric storage inhibited ethylene production and, reduced the rate of O2 production. Similarly, the decline in titratable acid and vitamin C contents was inhibited. These results indicate that hypobaric storage technology can better preserve the nutrients and quality of strawberries, suggesting that hypobaric storage could be a suitable method for increasing the shelf-life of strawberries.
本研究将采收后的草莓嫩枝与对照组一起在不同的低压条件（10、30 和 101 kPa）下贮藏 15 天，以研究低压贮藏对草莓新鲜度的影响。此外，还监测了水果的维生素 C 含量、失水率、可滴定酸含量和呼吸速率。结果显示，经过 30 千帕处理的草莓失水率最低，仅为 1.73%。相比之下，对照组的失水率最高，达到 21.4%。此外，与对照组水果相比，30 千帕低气压处理导致呼吸速率降低 40.4%，可滴定酸和维生素 C 含量更高。低压贮藏抑制了乙烯的产生，降低了氧气的产生率。同样，可滴定酸和维生素 C 含量的下降也受到抑制。这些结果表明，低温贮藏技术能更好地保存草莓的营养成分和品质，表明低温贮藏是延长草莓货架期的一种合适方法。
{"title":"Experimental investigation of hypobaric storage effect on freshness-keeping of strawberries","authors":"Ankang Kan , Ning Wang , Lijing Lin , Xingguang Sun , Longfei Zhang","doi":"10.1016/j.jfca.2024.106989","DOIUrl":"10.1016/j.jfca.2024.106989","url":null,"abstract":"<div><div>In this study, post-harvested strawberry shoots were stored for 15 d under various hypobaric conditions (10, 30, and 101 kPa), along with a control group, to investigate the effects of hypobaric storage on strawberry freshness. The vitamin C content, water loss, titratable acid content, and respiration rate of the fruit were also monitored. The results showed that the strawberries subjected to the 30 kPa treatment exhibited the lowest water loss, measured at only 1.73 %. By contrast, the control group exhibited the highest water loss, reaching 21.4 %. Furthermore, the 30 kPa hypobaric treatment resulted in a 40.4 % lower respiratory rate and higher titratable acid and vitamin C contents than those of the control fruits. Hypobaric storage inhibited ethylene production and, reduced the rate of O<sub>2</sub> production. Similarly, the decline in titratable acid and vitamin C contents was inhibited. These results indicate that hypobaric storage technology can better preserve the nutrients and quality of strawberries, suggesting that hypobaric storage could be a suitable method for increasing the shelf-life of strawberries.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106989"},"PeriodicalIF":4.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-18DOI: 10.1016/j.jfca.2024.106988
Tiago Corrêa Menezes , Gerson Antônio Barra de Castro , Henrick Araujo Fernandes , Klaus Ekkehard Gutjahr , Heronides Adonias Dantas Filho , Neirivaldo Cavalcante da Silva , Kelly das Graças Fernandes Dantas
Amazonian vegetable oils are important non-timber forest products supporting local economies and industries, providing sustainable alternatives to logging. However, ensuring the authenticity and integrity of these oils against economic adulteration with cheaper oils necessitates the development of rapid, cost-effective, and environmentally responsible quality control methodologies. This research utilizes one-class classification models (SIMCA, DD-SIMCA, and OCPLS) based on NIR spectroscopy to distinguish ten Amazonian vegetable oils from samples adulterated with soybean, corn, and cottonseed oils, contributing to the quality assurance of these valuable resources. Additionally, Partial Least Squares (PLS) models were developed to quantify oil purity and the content of individual adulterants. DD-SIMCA demonstrated the highest accuracy in classifying oils within their respective target classes and rejecting non-target oil samples. The PLS models predicted the content of adulterant oils (expressed as %ww-1) — corn, soybean, and cotton oils — in samples containing one, two, or three adulterants, yielding RMSEP and R² values of less than 5.1 % and greater than 0.77, respectively. Purity PLS models achieved RMSEP and R² values of less than 4.0 % and greater than 0.95, respectively. The application of NIR-based chemometric models for the classification of Amazonian oils and the evaluation of adulterant content provides a novel methodology. Additionally, the NIR spectral profiles of the majority of the Amazonian oils examined in this study are presented here for the first time.
{"title":"NIR-based classification of vegetable oils from Amazon rainforest and quantification of adulterants","authors":"Tiago Corrêa Menezes , Gerson Antônio Barra de Castro , Henrick Araujo Fernandes , Klaus Ekkehard Gutjahr , Heronides Adonias Dantas Filho , Neirivaldo Cavalcante da Silva , Kelly das Graças Fernandes Dantas","doi":"10.1016/j.jfca.2024.106988","DOIUrl":"10.1016/j.jfca.2024.106988","url":null,"abstract":"<div><div>Amazonian vegetable oils are important non-timber forest products supporting local economies and industries, providing sustainable alternatives to logging. However, ensuring the authenticity and integrity of these oils against economic adulteration with cheaper oils necessitates the development of rapid, cost-effective, and environmentally responsible quality control methodologies. This research utilizes one-class classification models (SIMCA, DD-SIMCA, and OCPLS) based on NIR spectroscopy to distinguish ten Amazonian vegetable oils from samples adulterated with soybean, corn, and cottonseed oils, contributing to the quality assurance of these valuable resources. Additionally, Partial Least Squares (PLS) models were developed to quantify oil purity and the content of individual adulterants. DD-SIMCA demonstrated the highest accuracy in classifying oils within their respective target classes and rejecting non-target oil samples. The PLS models predicted the content of adulterant oils (expressed as %ww-1) — corn, soybean, and cotton oils — in samples containing one, two, or three adulterants, yielding RMSEP and R² values of less than 5.1 % and greater than 0.77, respectively. Purity PLS models achieved RMSEP and R² values of less than 4.0 % and greater than 0.95, respectively. The application of NIR-based chemometric models for the classification of Amazonian oils and the evaluation of adulterant content provides a novel methodology. Additionally, the NIR spectral profiles of the majority of the Amazonian oils examined in this study are presented here for the first time.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"138 ","pages":"Article 106988"},"PeriodicalIF":4.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-17DOI: 10.1016/j.jfca.2024.106978
Juan Wang , Qizhen Zhou , Fengmao Liu , Xueli Yang , Qingrong Peng
To ensure food safety and public health, it is essential to establish dependable methods for the qualitative and quantitative analysis of pesticide residues in plant origin foods. This study developed and optimized a gas chromatographic method using the QuEChERS approach for detecting metham sodium residues in 22 plant origin foods. The method was refined by adjusting inlet temperature and transformation conditions to effectively convert metham sodium into its primary metabolite, methyl isothiocyanate. Furthermore, parameters such as the extraction solvent type, volume, and purifying agent were systematically optimized. The method achieved a limit of quantification (LOQ) of 0.05 mg/kg, with a linear range from 0.025 to 1.0 mg/L and determination coefficients (R²) from 0.9892 to 0.9999. Recovery rates ranged from 82 % to 102 %, with relative standard deviations (RSDs) between 0.3 % and 6.8 %. Inter-laboratory validation, in accordance with EU SANTE guidelines, confirmed the method's accuracy and reliability. Validation results passed Cochrane's and Grubbs' tests, with repeatability RSDs between 0.70 % and 5.28 % and reproducibility RSDs from 3.62 % to 21.89 %. This method provides a reliable and effective approach for determining metham sodium residues, and addresses a critical gap in current analytical techniques, offering significant contributions to residue monitoring and food safety regulations.
{"title":"Development and validation of a gas chromatography method for quantifying metham sodium in diverse plant origin foods","authors":"Juan Wang , Qizhen Zhou , Fengmao Liu , Xueli Yang , Qingrong Peng","doi":"10.1016/j.jfca.2024.106978","DOIUrl":"10.1016/j.jfca.2024.106978","url":null,"abstract":"<div><div>To ensure food safety and public health, it is essential to establish dependable methods for the qualitative and quantitative analysis of pesticide residues in plant origin foods. This study developed and optimized a gas chromatographic method using the QuEChERS approach for detecting metham sodium residues in 22 plant origin foods. The method was refined by adjusting inlet temperature and transformation conditions to effectively convert metham sodium into its primary metabolite, methyl isothiocyanate. Furthermore, parameters such as the extraction solvent type, volume, and purifying agent were systematically optimized. The method achieved a limit of quantification (LOQ) of 0.05 mg/kg, with a linear range from 0.025 to 1.0 mg/L and determination coefficients (R²) from 0.9892 to 0.9999. Recovery rates ranged from 82 % to 102 %, with relative standard deviations (RSDs) between 0.3 % and 6.8 %. Inter-laboratory validation, in accordance with EU SANTE guidelines, confirmed the method's accuracy and reliability. Validation results passed Cochrane's and Grubbs' tests, with repeatability RSDs between 0.70 % and 5.28 % and reproducibility RSDs from 3.62 % to 21.89 %. This method provides a reliable and effective approach for determining metham sodium residues, and addresses a critical gap in current analytical techniques, offering significant contributions to residue monitoring and food safety regulations.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106978"},"PeriodicalIF":4.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-17DOI: 10.1016/j.jfca.2024.106990
Wei Luo , Wenyoujia Li , Shuling Liu , Qicheng Li , Haihua Huang , Hailiang Zhang
The catechin content is critical for assessing the nutritional value and commercial worth of green tea, making detection methods valuable for its quality evaluation. This study utilized visible and near-infrared spectroscopy (Vis-NIRS, 400–2500 nm) combined with an optimized machine learning model, integrating the global search whale optimization algorithm (GSWOA) and kernel extreme learning machine (KELM), to predict the content of four main catechins (EC, ECG, EGC, and EGCG) in fresh tea leaves. Multiple preprocessing and effective wavelength selection methods were applied to improve prediction accuracy. The results showed that the distribution of effective wavelengths verified the importance of the visible spectrum. The GSWOA-KELM demonstrated superior performance, optimizing the modeling capabilities of KELM and outperforming other models, including partial least squares regression (PLSR) and random forest (RF), with values exceeding 0.98 and RMSEP values below 3.3 for all catechins. Notably, even without additional data processing, the model maintained good effects, achieving a minimum of 0.9751 and a maximum RMSEP of 3.3654. Therefore, the proposed approach proved to be both accurate and rapid for non-destructive, online catechin analysis and had practical value for tea appreciation.
{"title":"Measurement of four main catechins content in green tea based on visible and near-infrared spectroscopy using optimized machine learning algorithm","authors":"Wei Luo , Wenyoujia Li , Shuling Liu , Qicheng Li , Haihua Huang , Hailiang Zhang","doi":"10.1016/j.jfca.2024.106990","DOIUrl":"10.1016/j.jfca.2024.106990","url":null,"abstract":"<div><div>The catechin content is critical for assessing the nutritional value and commercial worth of green tea, making detection methods valuable for its quality evaluation. This study utilized visible and near-infrared spectroscopy (Vis-NIRS, 400–2500 nm) combined with an optimized machine learning model, integrating the global search whale optimization algorithm (GSWOA) and kernel extreme learning machine (KELM), to predict the content of four main catechins (EC, ECG, EGC, and EGCG) in fresh tea leaves. Multiple preprocessing and effective wavelength selection methods were applied to improve prediction accuracy. The results showed that the distribution of effective wavelengths verified the importance of the visible spectrum. The GSWOA-KELM demonstrated superior performance, optimizing the modeling capabilities of KELM and outperforming other models, including partial least squares regression (PLSR) and random forest (RF), with <span><math><msubsup><mrow><mi>R</mi></mrow><mrow><mi>P</mi></mrow><mrow><mn>2</mn></mrow></msubsup></math></span> values exceeding 0.98 and RMSEP values below 3.3 for all catechins. Notably, even without additional data processing, the model maintained good effects, achieving a minimum <span><math><msubsup><mrow><mi>R</mi></mrow><mrow><mi>p</mi></mrow><mrow><mn>2</mn></mrow></msubsup></math></span> of 0.9751 and a maximum RMSEP of 3.3654. Therefore, the proposed approach proved to be both accurate and rapid for non-destructive, online catechin analysis and had practical value for tea appreciation.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"138 ","pages":"Article 106990"},"PeriodicalIF":4.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Millets have been recognized for their health benefits, resilience in challenging environments, and versatility in cuisine, making them essential to global agriculture and foods. This review examines their phenology, stress responses, carbon footprint, biofortification, and diverse culinary applications. Millets adapt well to adverse climatic conditions, thriving in marginal lands with limited inputs. Their efficient root systems contribute to drought tolerance and efficient water use. Millets utilize complex biochemical and molecular mechanisms with antioxidant defense systems and regulating gene expression to enhance resilience to biotic and abiotic stresses. Transcription factors like WRKY, bZIP, and MYB regulate signaling networks, enhancing abiotic stress tolerance. Millets have a lower carbon footprint, with pearl millet and sorghum emitting 3218 kg CO2 eq/ha and 3358 kg CO2 eq/ha, respectively, versus 3700–9900 kg CO2 eq/ha for major cereals. Additionally, millets exhibit superior carbon sequestration, storing 499.6–4024.7 C mg/ha/year. Nutritionally, millets are powerhouses, rich in essential minerals and packed with dietary fiber and protein. Pearl millet contains 3–4 mg/100 g zinc and 4–8 mg/100 g iron, while finger millet contains 344 mg/100 g calcium. Biofortification efforts have shown promise in enhancing millet nutritional profiles through germplasm characterization, genomic approaches, conventional breeding, genetic engineering, and agronomic interventions. In culinary applications, millets are incorporated into a variety of value-added products. Future millet research should focus on leveraging genomic and breeding advancements like CRISPR-Cas tools to develop high-yielding, stress-tolerant varieties with improved traits. Biofortification efforts should aim to enhance nutritional profiles, reduce antinutritional factors, and explore the potential of underutilized millet species. Developing efficient processing technologies, particularly for small-scale operations, will be crucial for wider adoption and utilization of millets in various food applications. The integration of millets into sustainable food systems and climate-smart agriculture is crucial for enhancing food security and environmental sustainability.
{"title":"Millets: Nutrient-rich and climate-resilient crops for sustainable agriculture and diverse culinary applications","authors":"Avinash Sharma , Stanislaus Antony Ceasar , Himanshu Pandey , V.S. Devadas , Ajith Kumar Kesavan , Punabati Heisnam , Amit Vashishth , Varucha Misra , Ashutosh Kumar Mall","doi":"10.1016/j.jfca.2024.106984","DOIUrl":"10.1016/j.jfca.2024.106984","url":null,"abstract":"<div><div>Millets have been recognized for their health benefits, resilience in challenging environments, and versatility in cuisine, making them essential to global agriculture and foods. This review examines their phenology, stress responses, carbon footprint, biofortification, and diverse culinary applications. Millets adapt well to adverse climatic conditions, thriving in marginal lands with limited inputs. Their efficient root systems contribute to drought tolerance and efficient water use. Millets utilize complex biochemical and molecular mechanisms with antioxidant defense systems and regulating gene expression to enhance resilience to biotic and abiotic stresses. Transcription factors like WRKY, bZIP, and MYB regulate signaling networks, enhancing abiotic stress tolerance. Millets have a lower carbon footprint, with pearl millet and sorghum emitting 3218 kg CO2 eq/ha and 3358 kg CO2 eq/ha, respectively, versus 3700–9900 kg CO2 eq/ha for major cereals. Additionally, millets exhibit superior carbon sequestration, storing 499.6–4024.7 C mg/ha/year. Nutritionally, millets are powerhouses, rich in essential minerals and packed with dietary fiber and protein. Pearl millet contains 3–4 mg/100 g zinc and 4–8 mg/100 g iron, while finger millet contains 344 mg/100 g calcium. Biofortification efforts have shown promise in enhancing millet nutritional profiles through germplasm characterization, genomic approaches, conventional breeding, genetic engineering, and agronomic interventions. In culinary applications, millets are incorporated into a variety of value-added products. Future millet research should focus on leveraging genomic and breeding advancements like CRISPR-Cas tools to develop high-yielding, stress-tolerant varieties with improved traits. Biofortification efforts should aim to enhance nutritional profiles, reduce antinutritional factors, and explore the potential of underutilized millet species. Developing efficient processing technologies, particularly for small-scale operations, will be crucial for wider adoption and utilization of millets in various food applications. The integration of millets into sustainable food systems and climate-smart agriculture is crucial for enhancing food security and environmental sustainability.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106984"},"PeriodicalIF":4.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In an effort for rapid and simultaneous determination of multiple fatty acids in dairy products, a newly developed sorbent based on polystyrene/Schiff base network-1 (PS/SNW-1) electrospun nanofibers were used for pipette tip-micro solid phase extraction (PT-µSPE) with gas chromatography-flame ionization detector (GC-FID). The porous and hydrophobic nature of PS, in the presence of the SNW-1 as a covalent-organic framework with robust resistance in aqueous and acidic solutions, acceptable thermal stability, a substantial surface area, and an accumulated π-electron system, offers a sorbent with exceptional extraction efficiency. This innovative approach overcomes the limitations encountered when utilizing SNW-1 and PS individually, such as back pressure, leakage, and limited reusability.Under optimum conditions, an outstanding linear dynamic range was obtained in the range of 0.3–30000 µg L−1 for myristic acid, 0.3–45000 µg L−1 for palmitic acid, and 6.0–60000 µg L−1 for stearic acid and oleic acid. Additionally, the method demonstrated a low limit of detection (LOD ≤ 1.8 µg L−1) and limit of quantification (LOQ ≤ 6.0 µg L−1), along with relative standard deviations within the range of 1.19–5.59 % for within-day and 2.83–5.93 % for between-day analyses. Furthermore, satisfactory relative recovery and sorbent reusability were also achieved.
{"title":"Fatty Acids Analysis in Dairy Products via GC-FID Methodology: Leveraging PS/SNW-1 Nanofibers for Enhanced PT-µSPE","authors":"Fatemeh Kashi, Reyhaneh Aziziyan, Parisa Khodayari, Homeira Ebrahimzadeh","doi":"10.1016/j.jfca.2024.106980","DOIUrl":"10.1016/j.jfca.2024.106980","url":null,"abstract":"<div><div>In an effort for rapid and simultaneous determination of multiple fatty acids in dairy products, a newly developed sorbent based on polystyrene/Schiff base network-1 (PS/SNW-1) electrospun nanofibers were used for pipette tip-micro solid phase extraction (PT-µSPE) with gas chromatography-flame ionization detector (GC-FID). The porous and hydrophobic nature of PS, in the presence of the SNW-1 as a covalent-organic framework with robust resistance in aqueous and acidic solutions, acceptable thermal stability, a substantial surface area, and an accumulated π-electron system, offers a sorbent with exceptional extraction efficiency. This innovative approach overcomes the limitations encountered when utilizing SNW-1 and PS individually, such as back pressure, leakage, and limited reusability.Under optimum conditions, an outstanding linear dynamic range was obtained in the range of 0.3–30000 µg L<sup>−1</sup> for myristic acid, 0.3–45000 µg L<sup>−1</sup> for palmitic acid, and 6.0–60000 µg L<sup>−1</sup> for stearic acid and oleic acid. Additionally, the method demonstrated a low limit of detection (LOD ≤ 1.8 µg L<sup>−1</sup>) and limit of quantification (LOQ ≤ 6.0 µg L<sup>−1</sup>), along with relative standard deviations within the range of 1.19–5.59 % for within-day and 2.83–5.93 % for between-day analyses. Furthermore, satisfactory relative recovery and sorbent reusability were also achieved.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106980"},"PeriodicalIF":4.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1016/j.jfca.2024.106983
Kangqi Geng , Chenyang Hou , Xiaobin Xue , Dongmei Li , Zhenping Wang
The coordination between sugar and aroma compounds concentration in grape berries under water stress still unclear. Here, the field grown ‘Marselan’ (Vitis vinifera L.) vines were submitted to two levels of water stress (T1: −0.40 MPa ≤ ΨPD < −0.20 MPa; T2: −0.60 MPa ≤ ΨPD < −0.40 MPa) from 20 to 120 days after anthesis across two consecutive vintages (2021, 2022). The concentration of bound aroma compounds was promoted at ripe stage under T1, with a particularly significant increase in bound higher alcohols. In the PCA analysis, we found that the influences caused by weather conditions between two vintages were larger than those between treatments, the cooler weather promoting the concentration of aroma compounds. According to the OPLS-DA analysis, the concentration of bound benzyl alcohol, 1-heptanol, α-terpineol, 1-octen-3-ol and 1-hexanol was closely related to that of sugar. Furthermore, T1 promoted the expression of sugar transporters, glycosyl transferase and higher alcohol concentration at the veraison stage; in particular, the expression of VvSUC12 was highly correlated with the concentration of bound alcohols. Taking all findings into consideration, T1 could be more favorable to increase the bound alcohols concentration by upregulating the β-D-glucose transport.
{"title":"Exploring the evolution of sugars and volatile compounds in Marselan grape berries under water stress","authors":"Kangqi Geng , Chenyang Hou , Xiaobin Xue , Dongmei Li , Zhenping Wang","doi":"10.1016/j.jfca.2024.106983","DOIUrl":"10.1016/j.jfca.2024.106983","url":null,"abstract":"<div><div>The coordination between sugar and aroma compounds concentration in grape berries under water stress still unclear. Here, the field grown ‘Marselan’ (<em>Vitis vinifera</em> L.) vines were submitted to two levels of water stress (T1: −0.40 MPa ≤ Ψ<sub>PD</sub> < −0.20 MPa; T2: −0.60 MPa ≤ Ψ<sub>PD</sub> < −0.40 MPa<sub>)</sub> from 20 to 120 days after anthesis across two consecutive vintages (2021, 2022). The concentration of bound aroma compounds was promoted at ripe stage under T1, with a particularly significant increase in bound higher alcohols. In the PCA analysis, we found that the influences caused by weather conditions between two vintages were larger than those between treatments, the cooler weather promoting the concentration of aroma compounds. According to the OPLS-DA analysis, the concentration of bound benzyl alcohol, 1-heptanol, <em>α</em>-terpineol, 1-octen-3<em>-</em>ol and 1-hexanol was closely related to that of sugar. Furthermore, T1 promoted the expression of sugar transporters, glycosyl transferase and higher alcohol concentration at the veraison stage; in particular, the expression of <em>VvSUC12</em> was highly correlated with the concentration of bound alcohols. Taking all findings into consideration, T1 could be more favorable to increase the bound alcohols concentration by upregulating the <em>β</em>-D-glucose transport.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106983"},"PeriodicalIF":4.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heavy metals present in fish muscle pose a risk to consumers. Biomarkers could reveal the accumulation of these toxic contaminants early without having to resort to muscle analysis. In this study, a specific objective was pursued: to identify biomarkers to be proposed as sensitive tools in risk assessment analyzes using European eels as sentinel animals, captured from four rivers in Salerno province (southern Italy). Among the four genes chosen for this analysis, that of Acyl-Peptide Hydrolase 2 (APEH2) seems to qualify as an excellent biomarker, whose transcriptional profile responds well even to small levels of toxic metals. Statistical analyses (ANOVA, PCA) have shown that variations in the expression of the APEH2 gene, both in the liver and in the gills of eels, could provide important information on the health status of the aquatic animal, on possible exposure to toxic heavy metals and on the quality and safety of the meat.
{"title":"Rapid warning system to predict chemical hazards in wild European eel (Anguilla anguilla): Transcriptomic approach in food risk assessment","authors":"Rosa Luisa Ambrosio , Valeria Vuoso , Gianna Palmieri , Aniello Anastasio , Amalia Danese , Mauro Esposito , Ennio Cocca","doi":"10.1016/j.jfca.2024.106981","DOIUrl":"10.1016/j.jfca.2024.106981","url":null,"abstract":"<div><div>Heavy metals present in fish muscle pose a risk to consumers. Biomarkers could reveal the accumulation of these toxic contaminants early without having to resort to muscle analysis. In this study, a specific objective was pursued: to identify biomarkers to be proposed as sensitive tools in risk assessment analyzes using European eels as sentinel animals, captured from four rivers in Salerno province (southern Italy). Among the four genes chosen for this analysis, that of Acyl-Peptide Hydrolase 2 (APEH2) seems to qualify as an excellent biomarker, whose transcriptional profile responds well even to small levels of toxic metals. Statistical analyses (ANOVA, PCA) have shown that variations in the expression of the APEH2 gene, both in the liver and in the gills of eels, could provide important information on the health status of the aquatic animal, on possible exposure to toxic heavy metals and on the quality and safety of the meat.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106981"},"PeriodicalIF":4.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1016/j.jfca.2024.106972
Wei Han , Hongxia Tang , Li Zhao , Yubo Li , Dianying Men , Maofeng Dong , Lijun Han , Weimin Wang
A sensitive and reliable method for the determination of fluindapyr residue and its five metabolites is necessary in its registration, application and dissipation researches. Two typical national standard multi-residue analytical methods that involved fluindapyr was validated in this study, and the results found that both the methods gave low recoveries for one or more analytes and were not satisfied for detecting the residues of fluindapyr and its metabolites simultaneously. With comprehensive optimization, a simple and efficient method was established using mixed solution extraction with acetonitrile and water and cleaning-up by a modified SPE procedure with mixed-mode cation exchange cartridges, followed by ultrahigh-performance liquid chromatographytandem mass spectrometry (UHPLCMS/MS) detection for the simultaneous determination of fluindapyr and its five metabolites in vegetables and fruits. Method validation in nine vegetables and fruits was performed by analyzing the linearity (0.001–0.5 mg/L, and R2 ≥ 0.99), matrix effects (−95 %–80 %), fortified recoveries (71 %–118 %), relative standard deviations (0.2 %–16 %), limits of detection (0.0001–0.0002 mg/L), limits of quantification (0.0003–0.0006 mg/L) and the method limits of quantification (0.001 mg/kg). The proposed method was highly sensitive and reliable, and provides beneficial supplement to the two national standards in China in the simultaneously analysis of fluindapyr and its five metabolites in vegetables and fruits, and this study also provides reference for the method establishment for highly water-soluble analytes.
{"title":"A modified method for the simultaneous determination of fluindapyr and its metabolites residues in vegetables and fruits by SPE and UHPLCMS/MS","authors":"Wei Han , Hongxia Tang , Li Zhao , Yubo Li , Dianying Men , Maofeng Dong , Lijun Han , Weimin Wang","doi":"10.1016/j.jfca.2024.106972","DOIUrl":"10.1016/j.jfca.2024.106972","url":null,"abstract":"<div><div>A sensitive and reliable method for the determination of fluindapyr residue and its five metabolites is necessary in its registration, application and dissipation researches. Two typical national standard multi-residue analytical methods that involved fluindapyr was validated in this study, and the results found that both the methods gave low recoveries for one or more analytes and were not satisfied for detecting the residues of fluindapyr and its metabolites simultaneously. With comprehensive optimization, a simple and efficient method was established using mixed solution extraction with acetonitrile and water and cleaning-up by a modified SPE procedure with mixed-mode cation exchange cartridges, followed by ultrahigh-performance liquid chromatography<img>tandem mass spectrometry (UHPLC<img>MS/MS) detection for the simultaneous determination of fluindapyr and its five metabolites in vegetables and fruits. Method validation in nine vegetables and fruits was performed by analyzing the linearity (0.001–0.5 mg/L, and R<sup>2</sup> ≥ 0.99), matrix effects (−95 %–80 %), fortified recoveries (71 %–118 %), relative standard deviations (0.2 %–16 %), limits of detection (0.0001–0.0002 mg/L), limits of quantification (0.0003–0.0006 mg/L) and the method limits of quantification (0.001 mg/kg). The proposed method was highly sensitive and reliable, and provides beneficial supplement to the two national standards in China in the simultaneously analysis of fluindapyr and its five metabolites in vegetables and fruits, and this study also provides reference for the method establishment for highly water-soluble analytes.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106972"},"PeriodicalIF":4.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, a highly selective adsorbent based on a dummy-template molecularly imprinted polymer (DMIP) was synthesized using diethylphosphonoacetic acid (DPA) as the template for batch adsorption method of organophosphorus pesticides (OPPs). The synthesized polymers were characterized using FTIR, nitrogen adsorption-desorption analysis, SEM, XRD and TGA. Under optimum conditions, the results showed that the sorption of DMIP was best-fitted the pseudo-second order kinetic model and the Freundlich isotherm, with maximum adsorption capacities ranging from 24.36 to 55.31 mg g−1 for the selected OPPs. The thermodynamic studies established that the reactions were both spontaneous and exothermic at 298 K. The reusability study indicated that there is no substantial loss of removal efficiency while using the DMIP for up to five cycles. In addition, the developed method showed good linearity (1 – 10 mg L−1) for the OPPs, with a coefficient of determination (R2) values above 0.9969. The limits of detection (LOD) and quantification (LOQ) values were respectively found to be 0.2732 – 0.3177 µg mL−1 and 0.9097 – 1.0579 µg mL−1, with a relative standard deviation (RSD%) of less than 4.77 % for intra-day and inter-day analysis. Based on the results obtained, the synthesized DMIP showed an excellent potential as selective adsorbent for pesticides present in food samples.
{"title":"Development of dummy template molecularly imprinted polymer adsorbent to extract organophosphorus pesticides from vegetables","authors":"Yahaya Aliyu Danmaraya , Musab Ahmad Hamad Alghodran , Noorfatimah Yahaya , Shangeetha Ganesan , Mazidatulakmam Miskam","doi":"10.1016/j.jfca.2024.106966","DOIUrl":"10.1016/j.jfca.2024.106966","url":null,"abstract":"<div><div>In this study, a highly selective adsorbent based on a dummy-template molecularly imprinted polymer (DMIP) was synthesized using diethylphosphonoacetic acid (DPA) as the template for batch adsorption method of organophosphorus pesticides (OPPs). The synthesized polymers were characterized using FTIR, nitrogen adsorption-desorption analysis, SEM, XRD and TGA. Under optimum conditions, the results showed that the sorption of DMIP was best-fitted the pseudo-second order kinetic model and the Freundlich isotherm, with maximum adsorption capacities ranging from 24.36 to 55.31 mg g<sup>−1</sup> for the selected OPPs. The thermodynamic studies established that the reactions were both spontaneous and exothermic at 298 K. The reusability study indicated that there is no substantial loss of removal efficiency while using the DMIP for up to five cycles. In addition, the developed method showed good linearity (1 – 10 mg L<sup>−1</sup>) for the OPPs, with a coefficient of determination (R<sup>2</sup>) values above 0.9969. The limits of detection (LOD) and quantification (LOQ) values were respectively found to be 0.2732 – 0.3177 µg mL<sup>−1</sup> and 0.9097 – 1.0579 µg mL<sup>−1</sup>, with a relative standard deviation (RSD%) of less than 4.77 % for intra-day and inter-day analysis. Based on the results obtained, the synthesized DMIP showed an excellent potential as selective adsorbent for pesticides present in food samples.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106966"},"PeriodicalIF":4.0,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142657747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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