Attribute Identification of Bio-aviation Jet Fuel via Stepwise Regression

XIA Ying; DUAN Yi-pin; ZHANG Zi-hao; CAI Guo-tian; XIAO Qian

doi:10.12452/j.fxcsxb.26071601

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Attribute Identification of Bio-aviation Jet Fuel via Stepwise Regression

更新时间：2026-10-14

- Attribute Identification of Bio-aviation Jet Fuel via Stepwise Regression
- Journal of Instrumental Analysis Vol. 45, Issue 10, Pages: 2171-2178(2026)
- 作者机构：
  
  1.广州海关技术中心，广东广州 510623
  2.中国科学院广州能源研究所，广东广州 510640
- 作者简介：
- 基金信息：
- DOI：10.12452/j.fxcsxb.26071601
  CLC： O657;U473.1
- Received：16 July 2026，
  
  Revised：2026-08-13，
  
  Accepted：20 August 2026，
  
  Online First：01 September 2026，
  
  Published：15 October 2026
- 稿件说明：
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夏莹,段逸品,张子豪,蔡国田,肖前.基于逐步回归的生物航煤属性鉴别[J].分析测试学报,2026,45(10):2171-2178.

XIA Ying,DUAN Yi-pin,ZHANG Zi-hao,CAI Guo-tian,XIAO Qian.Attribute Identification of Bio-aviation Jet Fuel via Stepwise Regression[J].Journal of Instrumental Analysis,2026,45(10):2171-2178.
夏莹,段逸品,张子豪,蔡国田,肖前.基于逐步回归的生物航煤属性鉴别[J].分析测试学报,2026,45(10):2171-2178. DOI： 10.12452/j.fxcsxb.26071601.

XIA Ying,DUAN Yi-pin,ZHANG Zi-hao,CAI Guo-tian,XIAO Qian.Attribute Identification of Bio-aviation Jet Fuel via Stepwise Regression[J].Journal of Instrumental Analysis,2026,45(10):2171-2178. DOI： 10.12452/j.fxcsxb.26071601.

摘要

针对现行航空喷气燃料标准仅规定常规指标，无法鉴别来源（石油基、生物基或混合），存在监管盲区的实际情况，该文提出逐级鉴别策略（主要成分初筛-理化性质定性-生物基碳含量确证），有效鉴别出酯和脂肪酸加氢改质工艺生产的生物航煤（HEFA-SPK）的属性鉴别。首先，基于气相色谱-质谱（GC-MS）分析，排除碳数分布不在C6~C17的燃料；其次依据密度及芳烃含量快速定性，辅以馏程、闪点综合评判；最后以生物基碳含量确证，高于97.0%时判定为纯生物基燃料，低于0.5%时认定为石油基燃料。掺混比例在1%~30%范围时，采用逐步回归构建基于闪点、馏程宽度及生物基碳含量的掺混比例预测模型，并经配对

检验验证。结果表明，模型可准确预测HEFA-SPK掺混比例（

0.99），为生物航煤监管与来源识别提供技术支撑。

Abstract

Current aviation jet fuel specifications only prescribe basic technical indicators，thus creating a regulatory gap because they cannot effectively distinguish between conventional petroleum-derived sources，bio‑based sources，or their blends. To address this issue，a stepwise identification strategy comprising component screening，rapid physicochemical qualitative analysis，and bio-based carbon content confirmation is proposed for the attribute identification of hydroprocessed esters and fatty acids synthetic paraffinic kerosene （HEFA-SPK）. First，gas chromatography-mass spectrometry is performed to screen the carbon number distribution；samples outside the typical avia

tion fuel range （C6-C17） are excluded. Subsequently，rapid qualitative discrimination is achieved based on density and aromatic content，supplemented by distillation range and flash point as auxiliary parameters for a comprehensive evaluation. Finally，bio-based carbon content serves as the key evidence：a measured content above 97.0% identifies HEFA-SPK，while a value below 0.5% indicates petroleum-based jet fuel. For intermediate blending ratios （1%-30%），a stepwise regression approach is employed to develop a predictive model for the blending ratio of bio-based fuel，and the model is validated via a paired

-test. Results show that the linear regression model based on flash point，distillation range，and biogenic carbon content accurately predicts the blending ratio （

0.99），thus providing reliable technical support for the quality supervision and source identification of bio-based aviation fuel.

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references

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