Detection of bissap calyces and bissap juices adulteration with sorghum leaves using NIR spectroscopy and VIS/NIR spectroscopy

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2025-02-12 DOI:10.1016/j.jfca.2025.107358
John-Lewis Zinia Zaukuu , Nelson Quarshie Attipoe , Patricia Bourba Korneh , Eric Tetteh Mensah , Donald Bimpong , Lois Adofowaa Amponsah
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Abstract

Adulteration of bissap calyces and juices (‘sobolo’) with sorghum leaves presents a potential decrease in nutritional benefits to consumers. This study investigated the detection of bissap calyces and juices adulteration with sorghum leaves using near-infrared (NIR) and ultraviolet-visible (VIS/NIR) spectroscopy. Eight samples of bissap calyces-sorghum leaf formulations were prepared using eight concentrations (0, 5, 10, 20, 30, 40, 50 and 100 %) w/w. Each sample was prepared in cut, whole and powder forms, respectively. The samples were then used to prepare bissap juices in triplicates. The bissap calyces-sorghum leaf formulations were analyzed with NIRS, while bissap juices were analyzed with VIS/NIR spectroscopy. Results from the physicochemical analysis showed that the unadulterated samples had lower pH and higher (brix, titratable acidity, and total phenolic content), with no intense color change for all forms when compared to adulterated samples. PCA showed no difference between adulterated and unadulterated samples based on forms and concentrations. LDA showed a 100 % classification for all cut samples and some misclassifications for whole and powder samples for both NIR and VIS/NIR spectroscopy. Also, there were observable differences between adulterated and unadulterated juices produced from cut forms. PLSR models predicted different concentrations of adulterants present in both bissap calyces and juices. Bissap juices adulterated with sorghum leaves are not easily detectable and have reduced concentrations of some beneficial nutritional compounds present in sobolo. NIR and VIS/NIR spectroscopy, combined with chemometric techniques such as PCA, LDA, and PLSR, as a rapid detection technique, showed good potential for sobolo authentication.
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近红外光谱法和可见光/近红外光谱法检测高粱叶中掺假的双味花和双味汁
用高粱叶掺假的双果萼和果汁(' sobolo ')可能会降低消费者的营养价值。采用近红外光谱和紫外-可见光谱技术对掺假高粱叶中的双花萼和果汁进行了检测。以8种浓度(0、5、10、20、30、40、50和100 %)w/w制备了8个双萼高粱叶配方样品。每个样品分别以切割、整体和粉末的形式制备。这些样品随后被用来制作三份的浓汁。用近红外光谱法分析了双甘露花萼-高粱叶配方,用VIS/NIR光谱法分析了双甘露汁。理化分析结果表明,与掺假样品相比,未掺假样品具有较低的pH值和较高的pH值(白度、可滴定酸度和总酚含量),所有形式的颜色都没有明显变化。PCA显示掺假和未掺假样品在形式和浓度上没有差异。在近红外光谱和VIS/NIR光谱中,LDA对所有切割样品的分类率为100% %,对整个样品和粉末样品的分类有一些错误。此外,从切割形式生产的掺假和未掺假果汁之间存在可观察到的差异。PLSR模型预测了双果萼和果汁中存在的不同浓度的掺假物。掺入高粱叶的比沙普果汁不易检测,并且降低了存在于高粱叶中的一些有益营养化合物的浓度。近红外光谱和近红外/近红外光谱与PCA、LDA和PLSR等化学计量技术相结合,作为一种快速检测技术,具有良好的sobolo鉴定潜力。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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