The data for iodine absorption spectrum.
<div><p>Rice is one of the world’s most abundant food crops. The amylose content is a key factor affecting the production of high-quality rice. The commonly used method for determining the amylose content is the Iodine-Starch colorimetric method. Due to the limitations of traditional iod...
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2025
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| _version_ | 1849927629666254848 |
|---|---|
| author | Fei Chen (13690) |
| author2 | Yunsheng Song (22683232) Minghui Dong (10687019) Yulin Xie (5094323) Zhongying Qiao (9012938) Yongliang Zhu (169964) Penghui Cao (4786344) Yajie Yu (9231920) Caiyong Yuan (11722613) |
| author2_role | author author author author author author author author |
| author_facet | Fei Chen (13690) Yunsheng Song (22683232) Minghui Dong (10687019) Yulin Xie (5094323) Zhongying Qiao (9012938) Yongliang Zhu (169964) Penghui Cao (4786344) Yajie Yu (9231920) Caiyong Yuan (11722613) |
| author_role | author |
| dc.creator.none.fl_str_mv | Fei Chen (13690) Yunsheng Song (22683232) Minghui Dong (10687019) Yulin Xie (5094323) Zhongying Qiao (9012938) Yongliang Zhu (169964) Penghui Cao (4786344) Yajie Yu (9231920) Caiyong Yuan (11722613) |
| dc.date.none.fl_str_mv | 2025-11-25T18:24:10Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0336600.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/The_data_for_iodine_absorption_spectrum_/30713290 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biochemistry Genetics Biotechnology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified world &# 8217 showed good repeatability measure 96 samples key factor affecting important practical significance different genetic backgrounds abundant food crops xlink "> rice using rice varieties starch colorimetric method commonly used method measuring amylose content improve measurement efficiency rice </ p determining amylose content amylose content quality rice throughput method new method variation range strong correlation short time results demonstrated relative deviation operation process experimental results experimental materials experiment takes experiment provides excellent individuals early screening absorbance values 63 %. 2 %. |
| dc.title.none.fl_str_mv | The data for iodine absorption spectrum. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Rice is one of the world’s most abundant food crops. The amylose content is a key factor affecting the production of high-quality rice. The commonly used method for determining the amylose content is the Iodine-Starch colorimetric method. Due to the limitations of traditional iodine colorimetric methods, this experiment provides a simple high-throughput method (SSDM) for determining amylose content. Using rice varieties with different genetic backgrounds as experimental materials, the accuracy and practicality of the new method were explored to improve measurement efficiency and simplify the operation process. The results demonstrated a strong correlation (R = 0.9998) between the absorbance values and amylose content, with a relative deviation of less than 1.2%. It showed good repeatability, with a variation range of 0.43% to 1.63%. The experiment takes a short time and can measure 96 samples at once. Therefore, while ensuring the accuracy of experimental results, the high-throughput measurement method improves the efficiency of measuring amylose content. This has important practical significance for early screening and identification of excellent individuals in rice quality genetic breeding programs.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_9c4318a630956b654cdddd77f7328764 |
| identifier_str_mv | 10.1371/journal.pone.0336600.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30713290 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | The data for iodine absorption spectrum.Fei Chen (13690)Yunsheng Song (22683232)Minghui Dong (10687019)Yulin Xie (5094323)Zhongying Qiao (9012938)Yongliang Zhu (169964)Penghui Cao (4786344)Yajie Yu (9231920)Caiyong Yuan (11722613)BiochemistryGeneticsBiotechnologyEcologySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedworld &# 8217showed good repeatabilitymeasure 96 sampleskey factor affectingimportant practical significancedifferent genetic backgroundsabundant food cropsxlink "> riceusing rice varietiesstarch colorimetric methodcommonly used methodmeasuring amylose contentimprove measurement efficiencyrice </ pdetermining amylose contentamylose contentquality ricethroughput methodnew methodvariation rangestrong correlationshort timeresults demonstratedrelative deviationoperation processexperimental resultsexperimental materialsexperiment takesexperiment providesexcellent individualsearly screeningabsorbance values63 %.2 %.<div><p>Rice is one of the world’s most abundant food crops. The amylose content is a key factor affecting the production of high-quality rice. The commonly used method for determining the amylose content is the Iodine-Starch colorimetric method. Due to the limitations of traditional iodine colorimetric methods, this experiment provides a simple high-throughput method (SSDM) for determining amylose content. Using rice varieties with different genetic backgrounds as experimental materials, the accuracy and practicality of the new method were explored to improve measurement efficiency and simplify the operation process. The results demonstrated a strong correlation (R = 0.9998) between the absorbance values and amylose content, with a relative deviation of less than 1.2%. It showed good repeatability, with a variation range of 0.43% to 1.63%. The experiment takes a short time and can measure 96 samples at once. Therefore, while ensuring the accuracy of experimental results, the high-throughput measurement method improves the efficiency of measuring amylose content. This has important practical significance for early screening and identification of excellent individuals in rice quality genetic breeding programs.</p></div>2025-11-25T18:24:10ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0336600.s001https://figshare.com/articles/dataset/The_data_for_iodine_absorption_spectrum_/30713290CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307132902025-11-25T18:24:10Z |
| spellingShingle | The data for iodine absorption spectrum. Fei Chen (13690) Biochemistry Genetics Biotechnology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified world &# 8217 showed good repeatability measure 96 samples key factor affecting important practical significance different genetic backgrounds abundant food crops xlink "> rice using rice varieties starch colorimetric method commonly used method measuring amylose content improve measurement efficiency rice </ p determining amylose content amylose content quality rice throughput method new method variation range strong correlation short time results demonstrated relative deviation operation process experimental results experimental materials experiment takes experiment provides excellent individuals early screening absorbance values 63 %. 2 %. |
| status_str | publishedVersion |
| title | The data for iodine absorption spectrum. |
| title_full | The data for iodine absorption spectrum. |
| title_fullStr | The data for iodine absorption spectrum. |
| title_full_unstemmed | The data for iodine absorption spectrum. |
| title_short | The data for iodine absorption spectrum. |
| title_sort | The data for iodine absorption spectrum. |
| topic | Biochemistry Genetics Biotechnology Ecology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified world &# 8217 showed good repeatability measure 96 samples key factor affecting important practical significance different genetic backgrounds abundant food crops xlink "> rice using rice varieties starch colorimetric method commonly used method measuring amylose content improve measurement efficiency rice </ p determining amylose content amylose content quality rice throughput method new method variation range strong correlation short time results demonstrated relative deviation operation process experimental results experimental materials experiment takes experiment provides excellent individuals early screening absorbance values 63 %. 2 %. |