Summary of Study ST003955
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002478. The data can be accessed directly via it's Project DOI: 10.21228/M8BC2J This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST003955 |
| Study Title | effects of NO treatment on ripening and senescence of apricot fruits, |
| Study Summary | To understand the regulatory effects of SNP treatment on ripening and senescence of apricot fruits, extensive targeted metabolome technology was used to detect metabolites in three groups of samples (CK-0d, CK-8d and SNP-8d). A total of 1814 metabolites were detected across all groups, with the top five categories being phenolic acids (19.63%), flavonoids (16.48%), derivatives (10.31%), lipids (8.27%), and terpenoids (7.83%) |
| Institute | Beijing Academy of Agriculture and Forestry Sciences |
| Last Name | jiang |
| First Name | yuanye |
| Address | Haidian District of Beijing City, Beijing, Beijing, 100000, China |
| yuanyejiang1@outlook.com | |
| Phone | 13805170527 |
| Submit Date | 2025-05-27 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-07-21 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002478 |
| Project DOI: | doi: 10.21228/M8BC2J |
| Project Title: | Determination of metabolites before and after storage of apricot fruits treated with Nitric Oxide (NO) |
| Project Summary: | To understand the regulatory effects of Single Nucleotide Polymorphism [SNP](NO donor) treatment on ripening and senescence of apricot fruits, extensive targeted metabolome technology was used to detect metabolites in three groups of samples (CK-0d, CK-8d and SNP-8d). A total of 1814 metabolites were detected across all groups, with the top five categories being phenolic acids (19.63%), flavonoids (16.48%), derivatives (10.31%), lipids (8.27%), and terpenoids (7.83%) |
| Institute: | Beijing Academy of Agriculture and Forestry Sciences |
| Last Name: | jiang |
| First Name: | yuanye |
| Address: | Haidian District of Beijing City, Beijing, Beijing, 100000, China |
| Email: | yuanyejiang1@outlook.com |
| Phone: | 13805170527 |
Subject:
| Subject ID: | SU004092 |
| Subject Type: | Plant |
| Subject Species: | Apricot(Prunus armeniaca) |
| Taxonomy ID: | 36596 |
Factors:
Subject type: Plant; Subject species: Apricot(Prunus armeniaca) (Factor headings shown in green)
| mb_sample_id | local_sample_id | Treatment | Sample source |
|---|---|---|---|
| SA452691 | CK-8d-1_P | Control | fruit |
| SA452692 | CK-8d-3_P | Control | fruit |
| SA452693 | CK-8d-3_N | Control | fruit |
| SA452694 | CK-0d-1_P | Control | fruit |
| SA452695 | CK-8d-2_N | Control | fruit |
| SA452696 | CK-0d-1_N | Control | fruit |
| SA452697 | CK-8d-1_N | Control | fruit |
| SA452698 | CK-0d-3_P | Control | fruit |
| SA452699 | CK-0d-3_N | Control | fruit |
| SA452700 | CK-0d-2_P | Control | fruit |
| SA452701 | CK-0d-2_N | Control | fruit |
| SA452702 | CK-8d-2_P | Control | fruit |
| SA452703 | SNP-8d-1_N | SNP Treatment | fruit |
| SA452704 | SNP-8d-1_P | SNP Treatment | fruit |
| SA452705 | SNP-8d-2_N | SNP Treatment | fruit |
| SA452706 | SNP-8d-2_P | SNP Treatment | fruit |
| SA452707 | SNP-8d-3_N | SNP Treatment | fruit |
| SA452708 | SNP-8d-3_P | SNP Treatment | fruit |
| Showing results 1 to 18 of 18 |
Collection:
| Collection ID: | CO004085 |
| Collection Summary: | The apricot cultivar used in the experiment was “Chuanzhihong” (Prunus armeniaca L.), a naturally hybridized cultivar exhibiting mid-April flowering, late-July maturation (95-day fruit development period). Harvested at Beijing Huahai Horticultural Planting Cooperative, Yanqing District, Beijing (40°58 N, 116°19 E). Fruits at commercial maturity were selected based on uniform size and color, along with the absence of mechanical damage or microbial infection. Apricot fruits were transported to the laboratory in foam boxes with ice bags for subsequent treatment. A total of 600 fruits were randomly divided into two groups: the control group was soaked in 10 L distilled water for 10 mins, while the treatment group was soaked in 10 L 0.2 mmol/L SNP solution. After air-drying, fruits were packed into plastic containers (12 fruits per box) and stored at 25°C and 80% relative humidity for 8 days. Sampled tissues were snap-frozen in liquid nitrogen, with residual materials stored at -80°C for subsequent analyses. |
| Sample Type: | Apricot fruit |
Treatment:
| Treatment ID: | TR004101 |
| Treatment Summary: | For treatment, in mid-July 2023, a total of 40 kg of apricot fruits harvested at Beijing Huahai Horticultural Planting Cooperative in Yanqing District (40°58′N, 116°19′E) were transported to the laboratory in foam boxes with ice bags for subsequent treatment. A total of 600 fruits were randomly divided into two groups: the control group was soaked in 10 L distilled water for 10 mins, while the treatment group was soaked in 10 L 0.2 mmol/L SNP solution. After air-drying, fruits were packed into plastic containers (12 fruits per box) and stored at 25°C and 80% relative humidity for 8 days. Sampling occurred at 2-day intervals (0, 2, 4, 6, and 8 days) for quality assessment and photographic documentation. Sampled tissues were snap-frozen in liquid nitrogen, with residual materials stored at -80°C for subsequent analyses. |
Sample Preparation:
| Sampleprep ID: | SP004098 |
| Sampleprep Summary: | The biological samples were placed in a freeze dryer (Scientz-100F) for vacuum freeze-drying. Then, they were ground into powder using a grinder (MM 400, Retsch) at 30 Hz for 1.5 minutes. Next, 50 mg of sample powder (if less than 50 mg, the extractant was added at a ratio of 1200 μL per 50 mg sample) was weighed using an electronic balance (MS105DΜ) and mixed with 1200 μL of pre-cooled (–20 °C) 70% methanol-water internal standard extraction solution. The mixture was vortexed for 30 seconds every 30 minutes, totaling 6 times. After centrifugation at 12000 rpm for 3 minutes, the supernatant was aspirated, filtered through a microporous membrane (0.22 μm pore size), and stored in a sample vial for UPLC-MS/MS analysis. |
Chromatography:
| Chromatography ID: | CH004938 |
| Instrument Name: | Agilent 1200 |
| Column Name: | Waters ACQUITY UPLC BEH C18 (30 x 2.1 mm, 1.7 μm) |
| Column Temperature: | 40℃ |
| Flow Gradient: | At 0.00 min, 95% A and 5% B. Within 9.00 min, the proportion of B linearly increases to 95% (with A decreasing to 5%), and maintains at 95% B (5% A) for 1 min. During 10.00–11.10 min, the proportion of B decreases to 5% (phase A reverting to 95%), and remains balanced at 95% A and 5% B until 14 min. |
| Flow Rate: | 0.35 mL/min |
| Solvent A: | 100% Water; 0.1% Formic acid |
| Solvent B: | 100% Acetonitrile; 0.1% Formic acid |
| Chromatography Type: | HILIC |
Analysis:
| Analysis ID: | AN006501 |
| Analysis Type: | MS |
| Chromatography ID: | CH004938 |
| Num Factors: | 2 |
| Num Metabolites: | 962 |
| Units: | peak area |
| Analysis ID: | AN006502 |
| Analysis Type: | MS |
| Chromatography ID: | CH004938 |
| Num Factors: | 2 |
| Num Metabolites: | 852 |
| Units: | peak area |