{"title":"A rapid evaluation method for pumpkin sensory quality based on near-infrared spectroscopy","authors":"Zhuopin Xu, Xiaohong Li, Guangxia Zhao, Liwen Tang, Zuyun Dai, Wei Dai, Chaowu Chen, Yuejin Wu, Pengfei Zhang, Qi Wang","doi":"10.1002/mop.70016","DOIUrl":null,"url":null,"abstract":"<p>The sensory quality (SQ) of pumpkin fruit is one of the most important quality indexes for consumers. In this study, a rapid pumpkin SQ evaluation method based on near-infrared spectroscopy (NIRS) was introduced. The starch and moisture contents of pumpkins were first determined by NIRS, and then the SQ of pumpkin could be estimated indirectly by these components. Test was carried out on 97 samples of 34 pumpkin fruits. The pumpkin starch and water NIRS models based on variable dimension particle swarm optimization combined moving window (VDPSO-CMW) and standard normal variate transformation (SNV) showed the best predictive performances, whose predictive determination coefficients (<i>R</i><sup>2</sup><sub>p</sub>) were 0.775 and 0.932, respectively. A multiple linear regression model (correlation coefficient = 0.788) was established based on the prediction results of the two models and the SQ values obtained from cooking experiments. The proposed method has the potential to provide effective support for pumpkin breeding and production.</p>","PeriodicalId":18562,"journal":{"name":"Microwave and Optical Technology Letters","volume":"66 11","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microwave and Optical Technology Letters","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mop.70016","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The sensory quality (SQ) of pumpkin fruit is one of the most important quality indexes for consumers. In this study, a rapid pumpkin SQ evaluation method based on near-infrared spectroscopy (NIRS) was introduced. The starch and moisture contents of pumpkins were first determined by NIRS, and then the SQ of pumpkin could be estimated indirectly by these components. Test was carried out on 97 samples of 34 pumpkin fruits. The pumpkin starch and water NIRS models based on variable dimension particle swarm optimization combined moving window (VDPSO-CMW) and standard normal variate transformation (SNV) showed the best predictive performances, whose predictive determination coefficients (R2p) were 0.775 and 0.932, respectively. A multiple linear regression model (correlation coefficient = 0.788) was established based on the prediction results of the two models and the SQ values obtained from cooking experiments. The proposed method has the potential to provide effective support for pumpkin breeding and production.
期刊介绍：
Microwave and Optical Technology Letters provides quick publication (3 to 6 month turnaround) of the most recent findings and achievements in high frequency technology, from RF to optical spectrum. The journal publishes original short papers and letters on theoretical, applied, and system results in the following areas.
- RF, Microwave, and Millimeter Waves
- Antennas and Propagation
- Submillimeter-Wave and Infrared Technology
- Optical Engineering
All papers are subject to peer review before publication
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