Skip to main content
SpringerLink
Log in

Rapid detection of adulteration in Anoectochilus roxburghii by near-infrared spectroscopy coupled with chemometric methods

  • Original Article
  • Published:
Journal of Food Science and Technology Aims and scope Submit manuscript

Abstract

To determine the authenticity of Anoectochilus roxburghii, this study presents an application of near-infrared spectroscopy and chemometric methods for evaluating adulteration of A. roxburghii with two cheaper adulterants, i.e. C. Goodyera schlechtendaliana and Ludisia discolor. Partial least squares discriminant analysis models were built for the accurate classification of authentic A. roxburghii and A. roxburghii adulterated at 5–100% (w/w) levels. Partial least squares regression models were used to predict the level of adulteration in the A. roxburghii. After by compared different spectral pretreatment methods, and using interval PLS and synergy interval PLS for variable selection, optimum models were developed. These results show that the NIR spectroscopy combined with chemometric methods offers a simple, fast, and reliable method for classifying and quantifying the adulteration of A. roxburghii.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Bázár G, Romvári R, Szabó A, Somogyi T, Éles V, Tsenkova R (2016) NIR detection of honey adulteration reveals differences in water spectral pattern. Food Chem 194:873–880

    Article  CAS  PubMed  Google Scholar 

  • Dattatreya AM, Nanjegowda DK, Viswanath P (2011) Microscopic detection of adulteration of Bengal gram (Cicer arietinum) flour with other legume flour based on the seed testa macrosclereids. J Food Sci Technol 48(1):114–119

    Article  PubMed  Google Scholar 

  • Donno D, Boggia R, Zunin P, Cerutti AK, Guido M, Mellano MG, Prgomet Z, Beccaro GL (2016) Phytochemical fingerprint and chemometrics for natural food preparation pattern recognition: an innovative technique in food supplement quality control. J Food Sci Technol 53(2):1071–1083

    Article  CAS  PubMed  Google Scholar 

  • Hsieh LY, Chan HH, Hung HY, Kuo CL, Wu JB, Sun I, Kuo PC, Wu TS (2016) A rapid quantitative 1H NMR analysis of kinsenoside and other bioactive principles from Anoectochilus formosanus. Anal Methods UK 8(28):5645–5650

    Article  CAS  Google Scholar 

  • Huang M, Kim MS, Delwiche SR, Chao K, Qin J, Mo C, Esquerre C, Zhu Q (2016) Quantitative analysis of melamine in milk powders using near-infrared hyperspectral imaging and band ratio. J Food Eng 181:10–19

    Article  CAS  Google Scholar 

  • Hurst WJ, Pfeifer K (2014) When bad things happen to good food: applications of HPLC to detect food adulteration. LCGC N Am 32(10):590–594

    Google Scholar 

  • Jong SD (1993) SIMPLS: an alternative approach to partial least squares regression. Chemom Intell Lab 18(3):251–263

    Article  Google Scholar 

  • Li B, Tang M, Tang K, Zhao L, Guo S (2012) Screening for differentially expressed genes in Anoectochilus roxburghii (Orchidaceae) during symbiosis with the mycorrhizal fungus Epulorhiza sp. Sci China Life Sci 55(2):164–171

    Article  CAS  PubMed  Google Scholar 

  • Li S, Xin Z, Yang S, Su D, Qiang M, Wen R, Li J (2016) Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy. Food Chem 218:231–236

    Article  CAS  PubMed  Google Scholar 

  • Li-Guo Z, Xin Z, Li-Jun N, Zhi-Bin X, Xin G, Shi-Xin H (2014) Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy. Food Chem 145(4):342–348

    Google Scholar 

  • Liu FF, Wang YM, Zhu HT, Wang D, Yang CR, Xu M, Zhang YJ (2014a) Comparative study on “Long-Dan”, “Qin-Jiao” and their adulterants by HPLC analysis. Nat Prod Bioprospect 4(5):297–308

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Liu Q, Wei H, Liu Z, Xu J, Tian Y, Zhou X, Mu X (2014b) 3-Hydroxybutanolide derivatives and flavonoid glucosides from Anoectochilus roxburghii. Phytochem Lett 8(1):109–115

    Article  CAS  Google Scholar 

  • Lv T, Teng R, Shao Q, Wang H, Zhang W, Li M, Zhang L (2015) DNA barcodes for the identification of Anoectochilus roxburghii and its adulterants. Planta 242(5):1167–1174

    Article  CAS  PubMed  Google Scholar 

  • Ma HL, Wang JW, Chen YJ, Cheng JL, Lai ZT (2017) Rapid authentication of starch adulterations in ultrafine granular powder of Shanyao by near-infrared spectroscopy coupled with chemometric methods. Food Chem 215:108–115

    Article  CAS  PubMed  Google Scholar 

  • Marquez C, Lopez MI, Ruisanchez I, Callao MP (2016) FT-Raman and NIR spectroscopy data fusion strategy for multivariate qualitative analysis of food fraud. Talanta 161:80–86

    Article  CAS  PubMed  Google Scholar 

  • Petrakis EA, Polissiou MG (2017) Assessing saffron (Crocus sativus L.) adulteration with plant-derived adulterants by diffuse reflectance infrared Fourier transform spectroscopy coupled with chemometrics. Talanta 162:558–566

    Article  CAS  PubMed  Google Scholar 

  • Popa C (2015) Infrared spectroscopy study of the influence of inhaled vapors/smoke produced by cigarettes of active smokers. J Biomed Opt 20(5):051003

    Article  CAS  PubMed  Google Scholar 

  • Popa C (2016) Breathing disorders using photoacoustics gas analyzer. J Med Image Health Inform 6(8):1893–1895

    Article  Google Scholar 

  • Popa C, Petrus M (2017) Heavy metals impact at plants using photoacoustic spectroscopy technology with tunable CO2, laser in the quantification of gaseous molecules. Microchem J 134:390–399

    Article  CAS  Google Scholar 

  • Popa C, Petrus M, Bratu AM (2015) Ammonia and ethylene biomarkers in the respiration of the people with schizophrenia using photoacoustic spectroscopy. J Biomed Opt 20(5):57006

    Article  CAS  PubMed  Google Scholar 

  • Shao Q, Wang H, Guo H, Zhou A, Huang Y, Sun Y, Li M (2013) Effects of shade treatments on photosynthetic characteristics, chloroplast ultrastructure, and physiology of Anoectochilus roxburghii. PLoS ONE 9(2):e85996

    Article  CAS  Google Scholar 

  • Shao QS, Zhang AL, Ye WW, Guo HP, Hu RH (2014) Fast determination of two atractylenolides in Rhizoma Atractylodis Macrocephalae by Fourier transform near-infrared spectroscopy with partial least squares. Spectrochim Acta A 120(120C):499–504

    Article  CAS  Google Scholar 

  • Siddiqui AJ, Musharraf SG, Choudhary MI, Rahman AU (2017) Application of analytical methods in authentication and adulteration of honey. Food Chem 217:687–698

    Article  CAS  PubMed  Google Scholar 

  • Xu L, Shi PT, Ye ZH, Yan SM, Yu XP (2013) Rapid analysis of adulterations in Chinese lotus root powder (LRP) by near-infrared (NIR) spectroscopy coupled with chemometric class modeling techniques. Food Chem 141(3):2434–2439

    Article  CAS  PubMed  Google Scholar 

  • Ye S, Shao Q, Xu M, Li S, Wu M, Tan X, Su L (2017) Effects of light quality on morphology, enzyme activities, and bioactive compound contents in Anoectochilus roxburghii. Front Plant Sci 8:857

    Article  PubMed  PubMed Central  Google Scholar 

  • Yuan JJ, Wang CZ, Chen HX, Ye JZ, Zhou H (2015) Identification and detection of adulterated Camellia Oleifera Abel. Oils by near infrared transmittance spectroscopy. Int J Food Prop 19(2):300–313

    Article  CAS  Google Scholar 

  • Zeng B, Su M, Chen Q, Chang Q, Wang W, Li H (2016) Antioxidant and hepatoprotective activities of polysaccharides from Anoectochilus roxburghii. Carbohydr Polym 153:391–398

    Article  CAS  PubMed  Google Scholar 

  • Zhang A, Wang H, Shao Q, Xu M, Zhang W, Li M (2015) Large scale in vitro propagation of Anoectochilus roxburghii for commercial application: pharmaceutically important and ornamental plant. Ind Crop Prod 70:158–162

    Article  CAS  Google Scholar 

  • Zhong J, Qin X (2016) Rapid quantitative analysis of corn starch adulteration in Konjac Glucomannan by chemometrics-assisted ft-nir spectroscopy. Food Anal Method 9(1):61–67

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China (81673531, 81303167), Major Science and Technology Projects of Breeding New Varieties of Agriculture in Zhejiang Province (2016C02058), the Key Research and Development Plan Project of Zhejiang Province (2017C02012), Zhejiang Province Public Technology Applied Research Projects (LGN18C020003), Wenzhou Seed Seedlings Technology Innovation Projects (Z20170005).

Author information

Authors and Affiliations

  1. State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China

    Shuailing Li, Qingsong Shao, Xueqian Wu & Bingsong Zheng

  2. Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, 210014, China

    Hailing Fang

  3. Zhejiang Research Institute of Traditional Chinese Medicine Co., Ltd., Hangzhou, 310023, China

    Zhian Wang

  4. Wenzhou Academy of Agricultural Sciences, Wenzhou, 325006, China

    Jianjun Zhu

Authors
  1. Shuailing Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhian Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qingsong Shao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hailing Fang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jianjun Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xueqian Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Bingsong Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qingsong Shao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, S., Wang, Z., Shao, Q. et al. Rapid detection of adulteration in Anoectochilus roxburghii by near-infrared spectroscopy coupled with chemometric methods. J Food Sci Technol 55, 3518–3525 (2018). https://doi.org/10.1007/s13197-018-3276-x

Download citation

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13197-018-3276-x

Keywords

Search

Navigation