首页 > 最新文献

Postharvest Biology and Technology最新文献

英文 中文
Methyl jasmonate mediated modulation of lipoxygenase pathway modifies aroma biosynthesis during ripening of 'Regina' sweet cherry (Prunus avium L.)
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-19 DOI: 10.1016/j.postharvbio.2025.113511
Juan David Villavicencio , Juan Pablo Zoffoli , José Antonio O’Brien , Carolina Contreras
Fruit aroma is a crucial characteristic of consumers’ perception of quality. The aroma is the result of several volatile compounds that are metabolized during fruit development. Changes in the profile of volatile compounds can result in the development of off-flavors. In 'Regina' sweet cherry (Prunus avium L.), an herbaceous off-flavor may develop, causing an unpleasant taste experience for consumers, resulting in a negative perception in the market. Previous research has suggested a link between the herbaceous off-flavor and volatile compounds derived from the lipoxygenase (LOX) pathway. Among the many metabolites downstream of the LOX pathway, methyl jasmonate (MeJA) is a crucial phytohormone that regulates volatile production. To better understand the biological basis of the herbaceous off-flavor, we studied the effect of a foliar application of MeJa (0.4 mM) at the veraison stage on off-flavor occurrence, quality parameters, LOX-derived volatile compounds, and LOX gene expression levels. The primary sources of variation in off-flavor incidence were the season effect and phenological stage. The MeJA application influenced the aroma profile of sweet cherries by increasing the concentration of C6 volatile aldehydes, which contribute to the herbaceous/ grassy off-flavor while reducing the alcohols and esters. The expressions of PaLOX2, PaLOX4, PaLOX5, PaLOX10, PaLOX7, and PaLOX11 were found to be differentially regulated in sweet cherries treated with MeJA. Thus, our results suggest that MeJA influences the aroma profile of 'Regina' sweet cherry and also contribute to the production of unripe flavors.
{"title":"Methyl jasmonate mediated modulation of lipoxygenase pathway modifies aroma biosynthesis during ripening of 'Regina' sweet cherry (Prunus avium L.)","authors":"Juan David Villavicencio ,&nbsp;Juan Pablo Zoffoli ,&nbsp;José Antonio O’Brien ,&nbsp;Carolina Contreras","doi":"10.1016/j.postharvbio.2025.113511","DOIUrl":"10.1016/j.postharvbio.2025.113511","url":null,"abstract":"<div><div>Fruit aroma is a crucial characteristic of consumers’ perception of quality. The aroma is the result of several volatile compounds that are metabolized during fruit development. Changes in the profile of volatile compounds can result in the development of off-flavors. In 'Regina' sweet cherry (<em>Prunus avium</em> L.), an herbaceous off-flavor may develop, causing an unpleasant taste experience for consumers, resulting in a negative perception in the market. Previous research has suggested a link between the herbaceous off-flavor and volatile compounds derived from the lipoxygenase (LOX) pathway. Among the many metabolites downstream of the LOX pathway, methyl jasmonate (MeJA) is a crucial phytohormone that regulates volatile production. To better understand the biological basis of the herbaceous off-flavor, we studied the effect of a foliar application of MeJa (0.4 mM) at the veraison stage on off-flavor occurrence, quality parameters, LOX-derived volatile compounds, and LOX gene expression levels. The primary sources of variation in off-flavor incidence were the season effect and phenological stage. The MeJA application influenced the aroma profile of sweet cherries by increasing the concentration of C6 volatile aldehydes, which contribute to the herbaceous/ grassy off-flavor while reducing the alcohols and esters. The expressions of PaLOX2, PaLOX4, PaLOX5, PaLOX10, PaLOX7, and PaLOX11 were found to be differentially regulated in sweet cherries treated with MeJA. Thus, our results suggest that MeJA influences the aroma profile of 'Regina' sweet cherry and also contribute to the production of unripe flavors.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113511"},"PeriodicalIF":6.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic abundances of m7G, m5C and m1A mRNA modifications are associated with tomato fruit quality following harvest
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-18 DOI: 10.1016/j.postharvbio.2025.113522
Ziyi Zhao , Shuang Zeng , Huijie Liu , Mingjia Chen , Dongdong Li , Kunsong Chen
Ribonucleic acid (RNA) modifications play diverse roles in living organisms, and accumulating evidence reveals their significance in fruit development and ripening. However, the extent of their involvement in regulating postharvest fruit quality remains largely unknown. In this study, we characterized typical changes of tomato fruit following one-week storage, in which fruit got more pigmentation, lose fresh weight, reduced firmness and ethylene production, accompanied by decreased expression of genes related to these processes. We profiled the abundances of seven types of RNA modifications in tomato fruit at the beginning and end of the storage period, by digesting RNAs and quantifying individual nucleoside in LC-MS/MS. We observed dynamic changes of N7-methylguanosine (m7G), 5-methylcytosine (m5C) and N1-methyladenosine (m1A) mRNA modifications during postharvest storage. Furthermore, we noted a significant decrease in the expression of genes encoding enzymes associated with m7G (SlMETTL1, SlMETTL2 and SleIF4E3), m5C (SlTRDMT and SlALYREF2, SlYTHDC1), and m1A (SlYTHDC2A and SlALKBH2) mRNA modifications over the course of fruit storage. Our results unveil the dynamic alterations in mRNA modifications occurring during postharvest tomato fruit storage and imply that these modifications may play roles in regulating the expression of genes contributing to fruit quality.
{"title":"Dynamic abundances of m7G, m5C and m1A mRNA modifications are associated with tomato fruit quality following harvest","authors":"Ziyi Zhao ,&nbsp;Shuang Zeng ,&nbsp;Huijie Liu ,&nbsp;Mingjia Chen ,&nbsp;Dongdong Li ,&nbsp;Kunsong Chen","doi":"10.1016/j.postharvbio.2025.113522","DOIUrl":"10.1016/j.postharvbio.2025.113522","url":null,"abstract":"<div><div>Ribonucleic acid (RNA) modifications play diverse roles in living organisms, and accumulating evidence reveals their significance in fruit development and ripening. However, the extent of their involvement in regulating postharvest fruit quality remains largely unknown. In this study, we characterized typical changes of tomato fruit following one-week storage, in which fruit got more pigmentation, lose fresh weight, reduced firmness and ethylene production, accompanied by decreased expression of genes related to these processes. We profiled the abundances of seven types of RNA modifications in tomato fruit at the beginning and end of the storage period, by digesting RNAs and quantifying individual nucleoside in LC-MS/MS. We observed dynamic changes of N<sup>7</sup>-methylguanosine (m<sup>7</sup>G), 5-methylcytosine (m<sup>5</sup>C) and N<sup>1</sup>-methyladenosine (m<sup>1</sup>A) mRNA modifications during postharvest storage. Furthermore, we noted a significant decrease in the expression of genes encoding enzymes associated with m<sup>7</sup>G (<em>SlMETTL1</em>, <em>SlMETTL2</em> and <em>SleIF4E3</em>)<em>,</em> m<sup>5</sup>C (<em>SlTRDMT</em> and <em>SlALYREF2, SlYTHDC1</em>), and m<sup>1</sup>A (<em>SlYTHDC2A</em> and <em>SlALKBH2</em>) mRNA modifications over the course of fruit storage. Our results unveil the dynamic alterations in mRNA modifications occurring during postharvest tomato fruit storage and imply that these modifications may play roles in regulating the expression of genes contributing to fruit quality.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113522"},"PeriodicalIF":6.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Genome-wide associations within diverse wild apple germplasm for postharvest blue mold resistance to Penicillium expansum
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-18 DOI: 10.1016/j.postharvbio.2025.113513
Lauren Whitt , John S. Bennett , Tamara D. Collum , Breyn Evans , Doug Raines , Ben Gutierrez , Wojciech J. Janisiewicz , Wayne M. Jurick II , Christopher Gottschalk
Post-harvest disease caused by the blue mold fungus, Penicillium expansum, accounts for a substantial proportion of economic losses in the United States apple industry. Multiple modes of entry in the apple supply chain, plus emerging fungicide resistance, limit the current and long-term viability of using chemical controls alone. Previous phenotypic screens of Malus accessions in the USDA-ARS apple germplasm have identified varying levels of blue mold disease resistance in some wild apple accessions and hybrids. These wild apple species contain reservoirs of genetic resistance that can be integrated into apple breeding programs to complement the previously identified qM-Pe3.1 marker from M. sieversii. We sought to identify these novel loci by combining historical phenotypes of the USDA-ARS wild apple germplasm with low-pass genomic sequencing to perform association mapping. Multi-locus mixed models identified five single nucleotide polymorphisms (SNPs) significantly associated with reduction of post-harvest rot under high concentration of P. expansum inoculum, and one SNP associated under low inoculum concentration. Within a 25,000 base pair window of these SNPs, we found candidate genes encoding proteins with known pathogen immune response and defense roles, such as a Cobra-like 7, flavin monooxygenase, LRR receptors, PR5-like receptor kinase, and a putative resistance protein RGA3. We present these loci as targets for identifying accessions with beneficial alleles that can be targeted for fine mapping and used in Malus breeding programs to achieve M. domestica lines with natural post-harvest rot resistance.
{"title":"Genome-wide associations within diverse wild apple germplasm for postharvest blue mold resistance to Penicillium expansum","authors":"Lauren Whitt ,&nbsp;John S. Bennett ,&nbsp;Tamara D. Collum ,&nbsp;Breyn Evans ,&nbsp;Doug Raines ,&nbsp;Ben Gutierrez ,&nbsp;Wojciech J. Janisiewicz ,&nbsp;Wayne M. Jurick II ,&nbsp;Christopher Gottschalk","doi":"10.1016/j.postharvbio.2025.113513","DOIUrl":"10.1016/j.postharvbio.2025.113513","url":null,"abstract":"<div><div>Post-harvest disease caused by the blue mold fungus, <em>Penicillium expansum</em>, accounts for a substantial proportion of economic losses in the United States apple industry. Multiple modes of entry in the apple supply chain, plus emerging fungicide resistance, limit the current and long-term viability of using chemical controls alone. Previous phenotypic screens of <em>Malus</em> accessions in the USDA-ARS apple germplasm have identified varying levels of blue mold disease resistance in some wild apple accessions and hybrids. These wild apple species contain reservoirs of genetic resistance that can be integrated into apple breeding programs to complement the previously identified <em>qM-Pe3.1</em> marker from <em>M. sieversii</em>. We sought to identify these novel loci by combining historical phenotypes of the USDA-ARS wild apple germplasm with low-pass genomic sequencing to perform association mapping. Multi-locus mixed models identified five single nucleotide polymorphisms (SNPs) significantly associated with reduction of post-harvest rot under high concentration of <em>P. expansum</em> inoculum, and one SNP associated under low inoculum concentration. Within a 25,000 base pair window of these SNPs, we found candidate genes encoding proteins with known pathogen immune response and defense roles, such as a Cobra-like 7<em>,</em> flavin monooxygenase, LRR receptors, PR5-like receptor kinase, and a putative resistance protein RGA3. We present these loci as targets for identifying accessions with beneficial alleles that can be targeted for fine mapping and used in <em>Malus</em> breeding programs to achieve <em>M. domestica</em> lines with natural post-harvest rot resistance.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113513"},"PeriodicalIF":6.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prediction of the onset of climacteric fruit ripening based on fruit growth characteristics
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-18 DOI: 10.1016/j.postharvbio.2025.113519
Jakub Šalagovič , Maarten Hertog , Pieter Verboven , Bart Dequeker , Ann Schenk , Robert J. Schaffer , Annette Richardson , Bram Van de Poel , Bart Nicolaï
Appearance, texture, flavour and aroma of fruit undergo major changes during ripening. These changes normally start when the fruit is mature and reaches its nearly full size. However, predicting the exact moment when these quality changes are triggered is challenging. In this study, we present a generic approach to predict the onset of climacteric ripening based on a ripening activation function that incorporates the derivative of mass change of the fruit. We show that the parameterisation of the presented model depends on species but is universal for different growth conditions with different fruit growth dynamics. The proposed model was tested on four different fruit: tomato and kiwifruit representing berries; apple and pear representing pome fruit. The ripening identification model allows the integration of models describing various quality attributes with a growth model – enabling to prediction of a whole set of traits in one model rather than focusing on yield and selected quality attributes separately.
{"title":"Prediction of the onset of climacteric fruit ripening based on fruit growth characteristics","authors":"Jakub Šalagovič ,&nbsp;Maarten Hertog ,&nbsp;Pieter Verboven ,&nbsp;Bart Dequeker ,&nbsp;Ann Schenk ,&nbsp;Robert J. Schaffer ,&nbsp;Annette Richardson ,&nbsp;Bram Van de Poel ,&nbsp;Bart Nicolaï","doi":"10.1016/j.postharvbio.2025.113519","DOIUrl":"10.1016/j.postharvbio.2025.113519","url":null,"abstract":"<div><div>Appearance, texture, flavour and aroma of fruit undergo major changes during ripening. These changes normally start when the fruit is mature and reaches its nearly full size. However, predicting the exact moment when these quality changes are triggered is challenging. In this study, we present a generic approach to predict the onset of climacteric ripening based on a ripening activation function that incorporates the derivative of mass change of the fruit. We show that the parameterisation of the presented model depends on species but is universal for different growth conditions with different fruit growth dynamics. The proposed model was tested on four different fruit: tomato and kiwifruit representing berries; apple and pear representing pome fruit. The ripening identification model allows the integration of models describing various quality attributes with a growth model – enabling to prediction of a whole set of traits in one model rather than focusing on yield and selected quality attributes separately.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113519"},"PeriodicalIF":6.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-17 DOI: 10.1016/j.postharvbio.2025.113496
Jeong-Eun Lee , Min-Jee Kim , Bo-Yeong Lee , Lee Jong Hwan , Ha-Eun Yang , Moon S. Kim , In Geun Hwang , Cheon Soon Jeong , Changyeun Mo
Kiwifruit (Actinidia deliciosa) stored long-term at low temperatures after harvest can exhibit varying internal quality upon shipment due to the influence of harvest conditions. Flesh firmness (FF) and soluble solids content (SSC) are attributes of eating quality and ripeness, which change during storage. To ensure the timely shipment of kiwifruit with uniform quality, the development of non-destructive measurement techniques for FF, SSC, and ripeness is necessary. In this study, models were developed to predict the FF, SSC, and ripeness stages of kiwifruits using visible-near-infrared (Vis-NIR) hyperspectral imaging. The FF and SSC of kiwifruit were investigated according to the storage period, and five ripeness stages were defined based on these characteristics. Vis-NIR hyperspectral images of kiwifruit stored for 0–120 d were measured to extract hyperspectral spectra. Partial least squares regression and support vector machine regression (SVMR) prediction models were developed to predict the FF and SSC of kiwifruit, and partial least square-discriminant analysis (PLS-DA) and support vector machine classification (SVMC) models were developed to classify ripeness stages. The SVMR model with second-order derivative preprocessing exhibited the best performance in FF prediction, with the results of R2p and root mean square of prediction (RMSEP) and RDP values as 0.878, 3.008 N and 2.721, respectively. For SSC prediction, the SVMR model with multiplicative scatter correction (MSC) preprocessing exhibited the best performance, with the results of R2p and RMSEP and RPD values as 0.940, 0.898 °Brix and 4.055, respectively. Ripeness determination achieved the highest accuracy of 91.463 % and 91.548 % for the PLS-DA and SVMC models with maximum normalization preprocessing and range normalization preprocessing, respectively. The results of this study demonstrate that Vis-NIR hyperspectral imaging is useful for rapidly identifying the internal quality and post-storage ripeness stages of kiwifruit stored at low (0℃) temperatures. Furthermore, the developed technology is expected to contribute to determining the optimal shipping time for kiwifruit during storage.
{"title":"Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging","authors":"Jeong-Eun Lee ,&nbsp;Min-Jee Kim ,&nbsp;Bo-Yeong Lee ,&nbsp;Lee Jong Hwan ,&nbsp;Ha-Eun Yang ,&nbsp;Moon S. Kim ,&nbsp;In Geun Hwang ,&nbsp;Cheon Soon Jeong ,&nbsp;Changyeun Mo","doi":"10.1016/j.postharvbio.2025.113496","DOIUrl":"10.1016/j.postharvbio.2025.113496","url":null,"abstract":"<div><div>Kiwifruit (<em>Actinidia deliciosa</em>) stored long-term at low temperatures after harvest can exhibit varying internal quality upon shipment due to the influence of harvest conditions. Flesh firmness (FF) and soluble solids content (SSC) are attributes of eating quality and ripeness, which change during storage. To ensure the timely shipment of kiwifruit with uniform quality, the development of non-destructive measurement techniques for FF, SSC, and ripeness is necessary. In this study, models were developed to predict the FF, SSC, and ripeness stages of kiwifruits using visible-near-infrared (Vis-NIR) hyperspectral imaging. The FF and SSC of kiwifruit were investigated according to the storage period, and five ripeness stages were defined based on these characteristics. Vis-NIR hyperspectral images of kiwifruit stored for 0–120 d were measured to extract hyperspectral spectra. Partial least squares regression and support vector machine regression (SVMR) prediction models were developed to predict the FF and SSC of kiwifruit, and partial least square-discriminant analysis (PLS-DA) and support vector machine classification (SVMC) models were developed to classify ripeness stages. The SVMR model with second-order derivative preprocessing exhibited the best performance in FF prediction, with the results of R<sup>2</sup><sub>p</sub> and root mean square of prediction (RMSEP) and RDP values as 0.878, 3.008 N and 2.721, respectively. For SSC prediction, the SVMR model with multiplicative scatter correction (MSC) preprocessing exhibited the best performance, with the results of R<sup>2</sup><sub>p</sub> and RMSEP and RPD values as 0.940, 0.898 °Brix and 4.055, respectively. Ripeness determination achieved the highest accuracy of 91.463 % and 91.548 % for the PLS-DA and SVMC models with maximum normalization preprocessing and range normalization preprocessing, respectively. The results of this study demonstrate that Vis-NIR hyperspectral imaging is useful for rapidly identifying the internal quality and post-storage ripeness stages of kiwifruit stored at low (0℃) temperatures. Furthermore, the developed technology is expected to contribute to determining the optimal shipping time for kiwifruit during storage.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113496"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
p-chlorophenylalanine treatment accelerates tomato fruit ripening through hormone synthesis and glycolytic pathway during storage
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-17 DOI: 10.1016/j.postharvbio.2025.113517
Keyu Xu , Ran Yan , Hang Zhang , Lilai Yin , Wenbo Lei , Jianhui Cheng , Chen Huan , Yan Liu , Xiaolin Zheng , Shuling Shen
The accumulation of lycopene is the important indicator of tomato ripening and regulated by multiple plant signaling molecules. In this study, the effects of 30 μM p-chlorophenylalanine (p-CPA) on the postharvest ripening associated with lycopene content of tomato fruit were investigated during storage. The results showed that p-CPA treatment accelerated tomato fruit ripening, as indicated by increases in a* value, respiration rate and ethylene production, and decreases in firmness. p-CPA inhibited endogenous melatonin synthesis by competitive binding with tryptamine 5-hydroxylase (T5H), reducing the content of serotonin (the melatonin precursor), and down-regulating the genes expression of SlT5H, SlSNAT and SlASMT, while promoted ethylene synthesis and signal transduction by regulating the related genes. Meanwhile, p-CPA treatment enhanced the glycolytic pathway due to increasing the activity of 6-phosphofructokinase (PFK) and the contents of 3-phosphoglycerolaldehyde and pyruvate compared to the control. Also, p-CPA treatment enhanced the expressions of genes involved in lycopene synthesis including SlPSY1, SlPDS, SlZDS and SlCRTISO, thereby promoting the accumulation of lycopene. Thus, p-CPA treatment promoted tomato ripening along with lycopene accumulation by regulating endogenous melatonin and ethylene contents and activating glycolytic pathway during postharvest.
{"title":"p-chlorophenylalanine treatment accelerates tomato fruit ripening through hormone synthesis and glycolytic pathway during storage","authors":"Keyu Xu ,&nbsp;Ran Yan ,&nbsp;Hang Zhang ,&nbsp;Lilai Yin ,&nbsp;Wenbo Lei ,&nbsp;Jianhui Cheng ,&nbsp;Chen Huan ,&nbsp;Yan Liu ,&nbsp;Xiaolin Zheng ,&nbsp;Shuling Shen","doi":"10.1016/j.postharvbio.2025.113517","DOIUrl":"10.1016/j.postharvbio.2025.113517","url":null,"abstract":"<div><div>The accumulation of lycopene is the important indicator of tomato ripening and regulated by multiple plant signaling molecules. In this study, the effects of 30 μM <em>p</em>-chlorophenylalanine (<em>p</em>-CPA) on the postharvest ripening associated with lycopene content of tomato fruit were investigated during storage. The results showed that <em>p-</em>CPA treatment accelerated tomato fruit ripening, as indicated by increases in <em>a*</em> value, respiration rate and ethylene production, and decreases in firmness. <em>p</em>-CPA inhibited endogenous melatonin synthesis by competitive binding with tryptamine 5-hydroxylase (T5H), reducing the content of serotonin (the melatonin precursor), and down-regulating the genes expression of <em>SlT5H</em>, <em>SlSNAT</em> and <em>SlASMT</em>, while promoted ethylene synthesis and signal transduction by regulating the related genes. Meanwhile, <em>p-</em>CPA treatment enhanced the glycolytic pathway due to increasing the activity of 6-phosphofructokinase (PFK) and the contents of 3-phosphoglycerolaldehyde and pyruvate compared to the control. Also, <em>p-</em>CPA treatment enhanced the expressions of genes involved in lycopene synthesis including <em>SlPSY1</em>, <em>SlPDS</em>, <em>SlZDS</em> and <em>SlCRTISO</em>, thereby promoting the accumulation of lycopene. Thus, <em>p-</em>CPA treatment promoted tomato ripening along with lycopene accumulation by regulating endogenous melatonin and ethylene contents and activating glycolytic pathway during postharvest.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113517"},"PeriodicalIF":6.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Allicin fumigation delays the decline of fruit quality in blueberries via regulation of reactive oxygen species 大蒜素熏蒸通过调节活性氧延缓蓝莓果实品质下降
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-15 DOI: 10.1016/j.postharvbio.2025.113516
Siyu Long , Bo Xu , Yating Zhang, Yingchao Qu, Shujuan Ji, Manli Luo, Meilin Li, Bing Bai, Qian Zhou
In this study, the effect of allicin fumigation treatment on the quality deterioration of blueberry was studied by using ‘Bluecrop’ blueberry as experimental material. The results showed that the decrease of the hardness was significantly inhibited, and the increase of weight loss rate and decay rate was significantly inhibited. Allicin treatment could more effectively maintain the soluble solid and titrable acid and delay the decrease of the flavor. The results of electronic tongue data showed that allicin treated group had no odor residue, and the total phenols, anthocyanins and flavonoids were also maintained better. Allicin treatment can inhibit the hydrolysis of pectin and the activity of cell wall degrading enzymes to maintain the integrity of cell wall structure of blueberry fruit after harvest. According to correlation analysis, reactive oxygen species is closely related to quality deterioration. Allicin can maintain fruit hardness and cell wall activity by inhibiting the generation of active oxygen species and improving the activity of active oxygen scavenging enzymes in blueberry fruits, thereby delaying the quality deterioration and extending the shelf life of blueberry fruits at normal temperature after harvest.
{"title":"Allicin fumigation delays the decline of fruit quality in blueberries via regulation of reactive oxygen species","authors":"Siyu Long ,&nbsp;Bo Xu ,&nbsp;Yating Zhang,&nbsp;Yingchao Qu,&nbsp;Shujuan Ji,&nbsp;Manli Luo,&nbsp;Meilin Li,&nbsp;Bing Bai,&nbsp;Qian Zhou","doi":"10.1016/j.postharvbio.2025.113516","DOIUrl":"10.1016/j.postharvbio.2025.113516","url":null,"abstract":"<div><div>In this study, the effect of allicin fumigation treatment on the quality deterioration of blueberry was studied by using ‘Bluecrop’ blueberry as experimental material. The results showed that the decrease of the hardness was significantly inhibited, and the increase of weight loss rate and decay rate was significantly inhibited. Allicin treatment could more effectively maintain the soluble solid and titrable acid and delay the decrease of the flavor. The results of electronic tongue data showed that allicin treated group had no odor residue, and the total phenols, anthocyanins and flavonoids were also maintained better. Allicin treatment can inhibit the hydrolysis of pectin and the activity of cell wall degrading enzymes to maintain the integrity of cell wall structure of blueberry fruit after harvest. According to correlation analysis, reactive oxygen species is closely related to quality deterioration. Allicin can maintain fruit hardness and cell wall activity by inhibiting the generation of active oxygen species and improving the activity of active oxygen scavenging enzymes in blueberry fruits, thereby delaying the quality deterioration and extending the shelf life of blueberry fruits at normal temperature after harvest.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113516"},"PeriodicalIF":6.4,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of moldy pear core based on the time-frequency analysis of acoustic vibration signals and multi-domain features fusion 基于声学振动信号时频分析和多域特征融合的霉变梨核检测
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-14 DOI: 10.1016/j.postharvbio.2025.113495
Kang Zhao , Jin Zhao , Yue Yang , Qinjun Zhao , Ye Song
Mold core, as a serious internal defect, greatly affects fruit quality and the development of the pear industry. Due to its high contagions, it is thus desirable to implement early detection for moldy-core pears and / or remove pears with moldy core during sorting and grading. This study utilized the acoustic vibration non-destructive detection system to collect the acoustic vibration response signals. The acquired acoustic vibration response signals were converted the time-frequency images by the Short-time Fourier Transform (STFT) algorithm. The 14 time-domain statistical features T1T14 were extracted from the original signal curves by time-domain analysis method. The 7 frequency-domain statistical features F1F7 were extracted by frequency-domain analysis methods. The 15 texture features G1G15 were extracted from the STFT time-frequency images using gray level gradient correlation matrix (GLGCM) algorithm. Then, the Pearson correlation analysis was used to select the multi-domain sensitive features for discriminating pears with different moldy-core degrees. For the selected multi-domain sensitive features, the principal component analysis (PCA) was employed to convert the original high-dimensional dataset into a low dimensional representation. Finally, the processed single-domain and multi-domain fusion features were employed as inputs to construct the three classification models for identifying moldy pear core. The three classification models included partial least squares discriminant analysis (PLS-DA), least squares-support vector machine (LS-SVM), and extreme learning machine (ELM). The results indicated that the classification models constructed by the fused multi-domain features exhibited the higher discrimination accuracy for the three-categories pears. Among the constructed models, the ELM model achieved the optimal identification performance with an overall identification accuracy of 98.67 %. Specifically, the ELM model reached a 100 % classification accuracy for both healthy pears and pears with significant moldy-core (≥ 10 %), and a 96.15 % accuracy for pears with slight moldy-core (< 10 %). The overall accuracy, Recall, Precision, F1, and Kappa coefficient of the constructed ELM model were up to 92 % in the external validation. Thus, the proposed method has excellent recognition capability for pears with different extents of moldy core and outperforms some traditional techniques both mentioned in this study and reported in other research.
{"title":"Detection of moldy pear core based on the time-frequency analysis of acoustic vibration signals and multi-domain features fusion","authors":"Kang Zhao ,&nbsp;Jin Zhao ,&nbsp;Yue Yang ,&nbsp;Qinjun Zhao ,&nbsp;Ye Song","doi":"10.1016/j.postharvbio.2025.113495","DOIUrl":"10.1016/j.postharvbio.2025.113495","url":null,"abstract":"<div><div>Mold core, as a serious internal defect, greatly affects fruit quality and the development of the pear industry. Due to its high contagions, it is thus desirable to implement early detection for moldy-core pears and / or remove pears with moldy core during sorting and grading. This study utilized the acoustic vibration non-destructive detection system to collect the acoustic vibration response signals. The acquired acoustic vibration response signals were converted the time-frequency images by the Short-time Fourier Transform (STFT) algorithm. The 14 time-domain statistical features <em>T</em><sub>1</sub>∼<em>T</em><sub>14</sub> were extracted from the original signal curves by time-domain analysis method. The 7 frequency-domain statistical features <em>F</em><sub>1</sub>∼<em>F</em><sub>7</sub> were extracted by frequency-domain analysis methods. The 15 texture features <em>G</em><sub>1</sub>∼<em>G</em><sub>15</sub> were extracted from the STFT time-frequency images using gray level gradient correlation matrix (GLGCM) algorithm. Then, the Pearson correlation analysis was used to select the multi-domain sensitive features for discriminating pears with different moldy-core degrees. For the selected multi-domain sensitive features, the principal component analysis (PCA) was employed to convert the original high-dimensional dataset into a low dimensional representation. Finally, the processed single-domain and multi-domain fusion features were employed as inputs to construct the three classification models for identifying moldy pear core. The three classification models included partial least squares discriminant analysis (PLS-DA), least squares-support vector machine (LS-SVM), and extreme learning machine (ELM). The results indicated that the classification models constructed by the fused multi-domain features exhibited the higher discrimination accuracy for the three-categories pears. Among the constructed models, the ELM model achieved the optimal identification performance with an overall identification accuracy of 98.67 %. Specifically, the ELM model reached a 100 % classification accuracy for both healthy pears and pears with significant moldy-core (≥ 10 %), and a 96.15 % accuracy for pears with slight moldy-core (&lt; 10 %). The overall accuracy, Recall, Precision, F<sub>1</sub>, and Kappa coefficient of the constructed ELM model were up to 92 % in the external validation. Thus, the proposed method has excellent recognition capability for pears with different extents of moldy core and outperforms some traditional techniques both mentioned in this study and reported in other research.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113495"},"PeriodicalIF":6.4,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Variety, maturity stage and postharvest storage time effect on Mal d 3 allergen from apple (Malus domestica)
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-13 DOI: 10.1016/j.postharvbio.2025.113512
Clara Esteban-Sanz , Ana P. Tobajas , Ana P. Gracia, Alba Civera, Lourdes Sánchez, Esther Arias, María D. Pérez
Fruit belonging to Rosaceae family, which includes apples, is responsible for 60 % of fruit allergies. Mal d 3, a member of the lipid transfer proteins, is the most allergenic protein of apple. Levels of total soluble protein and Mal d 3 were determined in apple peel as a function of variety, maturity stage and postharvest storage time under controlled atmosphere conditions, using a previously developed specific sandwich ELISA. Mal d 3 content differed among varieties, ranging from 13.6 mg kg−1 in ‘Golden Delicious’ to 23.6 mg kg−1 in ‘Verde Doncella’. No significant influence of the maturity stage on Mal d 3 concentration was found. Over a 7-month period of storage under controlled atmosphere, the levels of Mal d 3 decreased about 1.6–2.3 times. No correlation was found between Mal d 3 concentration and total soluble protein in apple peel samples. A better understanding of how Mal d 3 concentration is affected by pre and postharvest factors could assist to decrease the allergen load of apple.
{"title":"Variety, maturity stage and postharvest storage time effect on Mal d 3 allergen from apple (Malus domestica)","authors":"Clara Esteban-Sanz ,&nbsp;Ana P. Tobajas ,&nbsp;Ana P. Gracia,&nbsp;Alba Civera,&nbsp;Lourdes Sánchez,&nbsp;Esther Arias,&nbsp;María D. Pérez","doi":"10.1016/j.postharvbio.2025.113512","DOIUrl":"10.1016/j.postharvbio.2025.113512","url":null,"abstract":"<div><div>Fruit belonging to Rosaceae family, which includes apples, is responsible for 60 % of fruit allergies. Mal d 3, a member of the lipid transfer proteins, is the most allergenic protein of apple. Levels of total soluble protein and Mal d 3 were determined in apple peel as a function of variety, maturity stage and postharvest storage time under controlled atmosphere conditions, using a previously developed specific sandwich ELISA. Mal d 3 content differed among varieties, ranging from 13.6 mg kg<sup>−1</sup> in ‘Golden Delicious’ to 23.6 mg kg<sup>−1</sup> in ‘Verde Doncella’. No significant influence of the maturity stage on Mal d 3 concentration was found. Over a 7-month period of storage under controlled atmosphere, the levels of Mal d 3 decreased about 1.6–2.3 times. No correlation was found between Mal d 3 concentration and total soluble protein in apple peel samples. A better understanding of how Mal d 3 concentration is affected by pre and postharvest factors could assist to decrease the allergen load of apple.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113512"},"PeriodicalIF":6.4,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Assessment of the optical response of bruised kiwifruit using hyperspectral imaging and its relationships with water migration
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2025-03-13 DOI: 10.1016/j.postharvbio.2025.113515
Diandian Liang , Ning Wang , Hao Yin , Jie Cui , Yuping Huang , Ye Sun , Yonghong Hu
This study aimed to investigate the capability of hyperspectral imaging (HSI) technology in non-destructive detection of early damage in kiwifruit, revealing its detection mechanisms from the perspective of moisture migration caused by damage. Low-field nuclear magnetic resonance (LF NMR) technology, HSI, and hyperspectral microscopic imaging (HMI) were employed to examine the relationships between moisture content in different states, relative spectral reflectance, and spectral absorbance of “Zespri” green kiwifruit at 0, 2, 4, 6, and 8 d post-damage. Additionally, the relationship between spectral absorbance and moisture content in four states was explored. The results indicated that bruising damage disrupted the microstructure of the kiwifruit, and exacerbated the migration of free water in the vacuoles, leading to an earlier peak in the proportion of free water compared to the control group. Significant moisture absorption bands were observed at the characteristic wavelengths corresponding to hyperspectral relative reflectance and hyperspectral microscopic absorbance of damaged kiwifruit. A high negative correlation was found between hyperspectral microscopic absorbance and free water content, with linear fitting results for the top five wavelengths showing R² values exceeding 0.8940. Using the hyperspectral reflectance at the 30 most relevant characteristic wavelengths related to free water content, early discrimination analysis of damaged kiwifruit was conducted, yielding an average accuracy of 96.56 % across four model validation sets. These findings indicate that the mechanism of hyperspectral imaging in detecting bruises in kiwifruit is potentially related to free water content. This research provides new insights into the non-destructive detection mechanisms of bruised fruit using hyperspectral imaging technology from the perspective of moisture migration.
{"title":"Assessment of the optical response of bruised kiwifruit using hyperspectral imaging and its relationships with water migration","authors":"Diandian Liang ,&nbsp;Ning Wang ,&nbsp;Hao Yin ,&nbsp;Jie Cui ,&nbsp;Yuping Huang ,&nbsp;Ye Sun ,&nbsp;Yonghong Hu","doi":"10.1016/j.postharvbio.2025.113515","DOIUrl":"10.1016/j.postharvbio.2025.113515","url":null,"abstract":"<div><div>This study aimed to investigate the capability of hyperspectral imaging (HSI) technology in non-destructive detection of early damage in kiwifruit, revealing its detection mechanisms from the perspective of moisture migration caused by damage. Low-field nuclear magnetic resonance (LF NMR) technology, HSI, and hyperspectral microscopic imaging (HMI) were employed to examine the relationships between moisture content in different states, relative spectral reflectance, and spectral absorbance of “Zespri” green kiwifruit at 0, 2, 4, 6, and 8 d post-damage. Additionally, the relationship between spectral absorbance and moisture content in four states was explored. The results indicated that bruising damage disrupted the microstructure of the kiwifruit, and exacerbated the migration of free water in the vacuoles, leading to an earlier peak in the proportion of free water compared to the control group. Significant moisture absorption bands were observed at the characteristic wavelengths corresponding to hyperspectral relative reflectance and hyperspectral microscopic absorbance of damaged kiwifruit. A high negative correlation was found between hyperspectral microscopic absorbance and free water content, with linear fitting results for the top five wavelengths showing R² values exceeding 0.8940. Using the hyperspectral reflectance at the 30 most relevant characteristic wavelengths related to free water content, early discrimination analysis of damaged kiwifruit was conducted, yielding an average accuracy of 96.56 % across four model validation sets. These findings indicate that the mechanism of hyperspectral imaging in detecting bruises in kiwifruit is potentially related to free water content. This research provides new insights into the non-destructive detection mechanisms of bruised fruit using hyperspectral imaging technology from the perspective of moisture migration.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"225 ","pages":"Article 113515"},"PeriodicalIF":6.4,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Postharvest Biology and Technology
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1