Identification of coffee leaves using FT-NIR spectroscopy and SIMCA

被引：63

作者：

Mees, Corenthin ^{[1
]}

Souard, Florence ^{[2
,3
]}

Delporte, Cedric ^{[4
,5
]}

Deconinck, Eric ^{[6
]}

Stoffelen, Piet ^{[7
]}

Stevigny, Caroline ^{[2
]}

Kauffmann, Jean-Michel ^{[1
]}

De Braekeleer, Kris ^{[1
]}

机构：

[1] Univ Libre Bruxelles, Fac Pharm, Lab Instrumental Anal & Bioelectrochem, Blvd Triomphe,Campus Plaine,CP 205-06, B-1050 Brussels, Belgium

[2] Univ Libre Bruxelles, Lab Pharmacognosy Bromatol & Human Nutr, Brussels, Belgium

[3] Univ Grenoble Alpes, DPM, UMR 5063, Grenoble, France

[4] Univ Libre Bruxelles, Fac Pharm, Lab Pharmaceut Chem, Brussels, Belgium

[5] Univ Libre Bruxelles, Fac Pharm, Brussels, Belgium

[6] Sci Inst Publ Hlth, Sect Med & Hlth Care Prod, Dept Food Med & Consumer Safety, J Wytsmanstr 14, B-1050 Brussels, Belgium

[7] Bot Garden Meise, Meise, Belgium

来源：

TALANTA | 2018年 / 177卷

关键词：

Coffee leaves; FT-NIRS; Fingerprints; Chemometrics; SIMCA; NEAR-INFRARED SPECTROSCOPY; ROASTING DEGREE; CAFFEINE; ARABICA; CANEPHORA; ROBUSTA; SAMPLES; HPLC; QUANTIFICATION; CHEMOMETRICS;

D O I：

10.1016/j.talanta.2017.09.056

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

cAbundant literature has been devoted to coffee beans (green or roasted) chemical description but relatively few studies have been devoted to coffee leaves. Given the fact that coffee leaves are used for food and medicinal consumption, it was of interest to develop a rapid screening method in order to identify coffee leaves taxa. Investigation by Fourier - Transform near infrared spectroscopy (FT-NIRS) was performed on nine Coffea taxa leaves harvested over one year in a tropical greenhouse of the Botanic Garden Meise (Belgium). The only process after leaves harvesting was an effective drying and a homogeneous leaves grinding. FT-NIRS with SIMCA analysis allowed to discriminate the spectral profiles across taxon, aging stage (mature and senescence coffee leaves) and harvest period. This study showed that it was possible (i) to classify the different taxa, (ii) to identify their aging stage and (iii) to identify the harvest period for the mature stage with a correct classification rate of 99%, 100% and 90%, respectively.

引用

页码：4 / 11

页数：8

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