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Rapid in situ identification of honey authenticity based on RP-Nano-ESI-MS using online desalting.
Yu, Wenjie; Sun, Qifang; Qu, Liangliang; Liu, Tao; Yi, Shengxiang; Zhang, Gaowei; Chen, Huanwen; Luo, Liping.
Afiliación
  • Yu W; Key Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
  • Sun Q; State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.
  • Qu L; School of Life Sciences, Nanchang University, Nanchang 330031, China.
  • Liu T; Key Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China.
  • Yi S; School of Life Sciences, Nanchang University, Nanchang 330031, China.
  • Zhang G; School of Life Sciences, Nanchang University, Nanchang 330031, China.
  • Chen H; Jiangxi Province Key Laboratory for Diagnosis, Treatment, and Rehabilitation of Cancer in Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, 330013, China. Electronic address: chw8868@gmail.com.
  • Luo L; Key Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China. Electronic address: lluo2@126.com.
Food Chem ; 458: 140278, 2024 Nov 15.
Article en En | MEDLINE | ID: mdl-38964103
ABSTRACT
High-content sugar in honey frequently results in severe matrix effects and requires complex pretreatment prior to analysis, posing significant challenges for the rapid analysis of honey. In this study, the reversal polarity nano-electrospray ionization mass spectrometry (RP-Nano-ESI-MS) analysis was developed for the direct evaluation of honey samples. The results indicated that RP-Nano-ESI-MS significantly mitigated the matrix effects induced by high-content sugar through the implementation of online desalting. Furthermore, RP-Nano-ESI-MS has been proven capable of not only differentiating acacia honey adulterated with 10% rape honey, but also effectively distinguishing six types of honey and exhibiting remarkable proficiency in detecting honey adulteration and botanical traceability. Additionally, RP-Nano-ESI-MS exhibited strong quantitative abilities, effectively characterizing variations in amino acid composition among six types of honey with high stability and reproducibility. Our studies underscore the significant potential of RP-Nano-ESI-MS for its rapid in situ analysis of sugar-rich foods like honey, especially in their authenticity verification.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminación de Alimentos / Espectrometría de Masa por Ionización de Electrospray / Miel Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Contaminación de Alimentos / Espectrometría de Masa por Ionización de Electrospray / Miel Idioma: En Revista: Food Chem Año: 2024 Tipo del documento: Article País de afiliación: China